2025-12-04T09:16:02.6091001Z Current runner version: '2.330.0' 2025-12-04T09:16:02.6096931Z Runner name: 'i-0685a2a28d389e1fa' 2025-12-04T09:16:02.6097691Z Runner group name: 'default' 2025-12-04T09:16:02.6098496Z Machine name: 'ip-10-0-70-39' 2025-12-04T09:16:02.6101219Z ##[group]GITHUB_TOKEN Permissions 2025-12-04T09:16:02.6103534Z Contents: read 2025-12-04T09:16:02.6104056Z Metadata: read 2025-12-04T09:16:02.6104551Z ##[endgroup] 2025-12-04T09:16:02.6106421Z Secret source: Actions 2025-12-04T09:16:02.6107068Z Prepare workflow directory 2025-12-04T09:16:02.6607833Z Prepare all required actions 2025-12-04T09:16:02.6644210Z Getting action download info 2025-12-04T09:16:03.0006867Z Download action repository 'pytorch/test-infra@main' (SHA:39aa74d619174326f4e2fb0e216151c2f29d9ffd) 2025-12-04T09:16:05.0661129Z Download action repository 'pytorch/pytorch@main' (SHA:7716da9fb23f27a65b41f9f016a2afadf281c18f) 2025-12-04T09:16:21.1268775Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-12-04T09:16:21.4964177Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-12-04T09:16:21.7518802Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-12-04T09:16:21.9469996Z Download action repository 'seemethere/download-artifact-s3@1da556a7aa0a088e3153970611f6c432d58e80e6' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-12-04T09:16:22.2325495Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-12-04T09:16:22.5326387Z Getting action download info 2025-12-04T09:16:22.6982366Z Download action repository 'actions/checkout@v4' (SHA:34e114876b0b11c390a56381ad16ebd13914f8d5) 2025-12-04T09:16:22.9968234Z Getting action download info 2025-12-04T09:16:23.1183038Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-12-04T09:16:23.3636228Z Getting action download info 2025-12-04T09:16:23.4820710Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-12-04T09:16:23.7006300Z Getting action download info 2025-12-04T09:16:23.8616106Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32) 2025-12-04T09:16:23.8620000Z ##[group] Inputs 2025-12-04T09:16:23.8620389Z build-environment: linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck 2025-12-04T09:16:23.8628651Z test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 1, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 2, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 2, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 3, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 3, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 4, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 4, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 5, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 5, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 6, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 6, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 7, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 7, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 8, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 8, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests"}]} 2025-12-04T09:16:23.8637303Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:16:23.8638170Z sync-tag: 2025-12-04T09:16:23.8638884Z timeout-minutes: 300 2025-12-04T09:16:23.8639122Z use-gha: 2025-12-04T09:16:23.8639327Z dashboard-tag: 2025-12-04T09:16:23.8639554Z s3-bucket: gha-artifacts 2025-12-04T09:16:23.8639808Z aws-role-to-assume: 2025-12-04T09:16:23.8640292Z disable-monitor: false 2025-12-04T09:16:23.8640566Z monitor-log-interval: 5 2025-12-04T09:16:23.8640874Z monitor-data-collect-interval: 1 2025-12-04T09:16:23.8641169Z ##[endgroup] 2025-12-04T09:16:23.8641847Z Complete job name: linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck / test (default, 8, 8, linux.g5.4xlarge.nvidia.gpu, module:slowgradcheck, rerun_disabled_tests) 2025-12-04T09:16:23.9319992Z A job started hook has been configured by the self-hosted runner administrator 2025-12-04T09:16:23.9417502Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-12-04T09:16:23.9428693Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:16:23.9429259Z ##[endgroup] 2025-12-04T09:16:25.6077297Z Runner Type: linux.g5.4xlarge.nvidia.gpu 2025-12-04T09:16:25.6077781Z Instance Type: g5.4xlarge 2025-12-04T09:16:25.6078118Z AMI Name: unknown 2025-12-04T09:16:25.6135937Z AMI ID: ami-08982f1c5bf93d976 2025-12-04T09:16:31.1443470Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-12-04T09:16:31.1443871Z with: 2025-12-04T09:16:31.1444391Z github-secret: *** 2025-12-04T09:16:31.1445049Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-12-04T09:16:31.1445752Z activate-with-label: false 2025-12-04T09:16:31.1446023Z label: with-ssh 2025-12-04T09:16:31.1446266Z remove-existing-keys: true 2025-12-04T09:16:31.1446524Z fail-silently: true 2025-12-04T09:16:31.1446758Z env: 2025-12-04T09:16:31.1446959Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:16:31.1447209Z ##[endgroup] 2025-12-04T09:16:31.2859341Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-12-04T09:16:31.2860763Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-12-04T09:16:31.3039630Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-12-04T09:16:31.3040024Z with: 2025-12-04T09:16:31.3040225Z no-sudo: true 2025-12-04T09:16:31.3040454Z submodules: recursive 2025-12-04T09:16:31.3040701Z fetch-depth: 0 2025-12-04T09:16:31.3041116Z env: 2025-12-04T09:16:31.3041323Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:16:31.3041569Z ##[endgroup] 2025-12-04T09:16:31.3115254Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:16:31.3116145Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:16:31.3131583Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:16:31.3131947Z env: 2025-12-04T09:16:31.3132186Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:16:31.3132472Z ##[endgroup] 2025-12-04T09:16:31.3224599Z ##[group]Run # Use all available CPUs for fetching 2025-12-04T09:16:31.3225025Z # Use all available CPUs for fetching 2025-12-04T09:16:31.3225349Z cd "${GITHUB_WORKSPACE}" 2025-12-04T09:16:31.3225676Z git config --global fetch.parallel 0 2025-12-04T09:16:31.3226051Z git config --global submodule.fetchJobs 0 2025-12-04T09:16:31.3226387Z  2025-12-04T09:16:31.3226719Z # Clean workspace. The default checkout action should also do this, but 2025-12-04T09:16:31.3227160Z # do it here as well just in case 2025-12-04T09:16:31.3227468Z if [[ -d .git ]]; then 2025-12-04T09:16:31.3227821Z  if [ -z "${NO_SUDO}" ]; then 2025-12-04T09:16:31.3228314Z  sudo git clean -ffdx 2025-12-04T09:16:31.3228716Z  else 2025-12-04T09:16:31.3229031Z  git clean -ffdx 2025-12-04T09:16:31.3248553Z  fi 2025-12-04T09:16:31.3248774Z fi 2025-12-04T09:16:31.3257911Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:16:31.3258263Z env: 2025-12-04T09:16:31.3258473Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:16:31.3258716Z NO_SUDO: true 2025-12-04T09:16:31.3258926Z ##[endgroup] 2025-12-04T09:16:31.3393868Z ##[group]Run actions/checkout@v4 2025-12-04T09:16:31.3394151Z with: 2025-12-04T09:16:31.3394403Z ref: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:16:31.3394740Z fetch-depth: 0 2025-12-04T09:16:31.3394975Z submodules: recursive 2025-12-04T09:16:31.3395233Z show-progress: false 2025-12-04T09:16:31.3395503Z repository: pytorch/pytorch 2025-12-04T09:16:31.3395887Z token: *** 2025-12-04T09:16:31.3396096Z ssh-strict: true 2025-12-04T09:16:31.3396325Z ssh-user: git 2025-12-04T09:16:31.3396560Z persist-credentials: true 2025-12-04T09:16:31.3396813Z clean: true 2025-12-04T09:16:31.3397055Z sparse-checkout-cone-mode: true 2025-12-04T09:16:31.3397409Z fetch-tags: false 2025-12-04T09:16:31.3397648Z lfs: false 2025-12-04T09:16:31.3397872Z set-safe-directory: true 2025-12-04T09:16:31.3398215Z env: 2025-12-04T09:16:31.3398412Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:16:31.3398658Z ##[endgroup] 2025-12-04T09:16:31.4505363Z Syncing repository: pytorch/pytorch 2025-12-04T09:16:31.4506490Z ##[group]Getting Git version info 2025-12-04T09:16:31.4506948Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-12-04T09:16:31.4507552Z [command]/usr/bin/git version 2025-12-04T09:16:31.4719315Z git version 2.50.1 2025-12-04T09:16:31.4743227Z ##[endgroup] 2025-12-04T09:16:31.4753500Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/19102d15-b0c6-4d87-864d-1cd0ab71895f/.gitconfig' 2025-12-04T09:16:31.4774559Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/19102d15-b0c6-4d87-864d-1cd0ab71895f' before making global git config changes 2025-12-04T09:16:31.4775468Z Adding repository directory to the temporary git global config as a safe directory 2025-12-04T09:16:31.4787381Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T09:16:31.4839653Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-12-04T09:16:31.4842706Z ##[group]Initializing the repository 2025-12-04T09:16:31.4847190Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T09:16:31.4929084Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-12-04T09:16:31.4929824Z hint: is subject to change. To configure the initial branch name to use in all 2025-12-04T09:16:31.4930365Z hint: of your new repositories, which will suppress this warning, call: 2025-12-04T09:16:31.4930753Z hint: 2025-12-04T09:16:31.4931042Z hint: git config --global init.defaultBranch 2025-12-04T09:16:31.4931389Z hint: 2025-12-04T09:16:31.4931716Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-12-04T09:16:31.4932270Z hint: 'development'. The just-created branch can be renamed via this command: 2025-12-04T09:16:31.4932684Z hint: 2025-12-04T09:16:31.4932896Z hint: git branch -m 2025-12-04T09:16:31.4933153Z hint: 2025-12-04T09:16:31.4933509Z hint: Disable this message with "git config set advice.defaultBranchName false" 2025-12-04T09:16:31.4938973Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-12-04T09:16:31.4950438Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-12-04T09:16:31.5000954Z ##[endgroup] 2025-12-04T09:16:31.5001393Z ##[group]Disabling automatic garbage collection 2025-12-04T09:16:31.5004895Z [command]/usr/bin/git config --local gc.auto 0 2025-12-04T09:16:31.5039062Z ##[endgroup] 2025-12-04T09:16:31.5039444Z ##[group]Setting up auth 2025-12-04T09:16:31.5045237Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-12-04T09:16:31.5079252Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-12-04T09:16:31.5527206Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-12-04T09:16:31.5560489Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-12-04T09:16:31.5968464Z [command]/usr/bin/git config --local --name-only --get-regexp ^includeIf\.gitdir: 2025-12-04T09:16:31.6004418Z [command]/usr/bin/git submodule foreach --recursive git config --local --show-origin --name-only --get-regexp remote.origin.url 2025-12-04T09:16:31.6384333Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-12-04T09:16:31.6436411Z ##[endgroup] 2025-12-04T09:16:31.6436979Z ##[group]Fetching the repository 2025-12-04T09:16:31.6444429Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-12-04T09:17:23.3980303Z From https://github.com/pytorch/pytorch 2025-12-04T09:17:23.3982589Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-12-04T09:17:23.3983305Z * [new branch] 2.9.1 -> origin/2.9.1 2025-12-04T09:17:23.3984023Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-12-04T09:17:23.3984743Z * [new branch] Flamefire-patch-1 -> origin/Flamefire-patch-1 2025-12-04T09:17:23.3985577Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-12-04T09:17:23.3987103Z * [new branch] HOPrintFunc -> origin/HOPrintFunc 2025-12-04T09:17:23.3990108Z * [new branch] IvanKobzarev/stack/1 -> origin/IvanKobzarev/stack/1 2025-12-04T09:17:23.3992908Z * [new branch] NicoshevSVE128 -> origin/NicoshevSVE128 2025-12-04T09:17:23.3994401Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-12-04T09:17:23.3996639Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-12-04T09:17:23.3998300Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-12-04T09:17:23.4001037Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-12-04T09:17:23.4002803Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-12-04T09:17:23.4005140Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-12-04T09:17:23.4006633Z * [new branch] VLA_exp -> origin/VLA_exp 2025-12-04T09:17:23.4009015Z * [new branch] activation_bench -> origin/activation_bench 2025-12-04T09:17:23.4010573Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-12-04T09:17:23.4013419Z * [new branch] adi/onednn_aarch64 -> origin/adi/onednn_aarch64 2025-12-04T09:17:23.4015277Z * [new branch] adi/test -> origin/adi/test 2025-12-04T09:17:23.4017189Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-12-04T09:17:23.4018965Z * [new branch] adi/test_m8g -> origin/adi/test_m8g 2025-12-04T09:17:23.4020938Z * [new branch] adi/test_onednn -> origin/adi/test_onednn 2025-12-04T09:17:23.4022583Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-12-04T09:17:23.4024643Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-12-04T09:17:23.4026522Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-12-04T09:17:23.4028725Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-12-04T09:17:23.4032030Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-12-04T09:17:23.4033689Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-12-04T09:17:23.4035995Z * [new branch] albanD-patch-1 -> origin/albanD-patch-1 2025-12-04T09:17:23.4037893Z * [new branch] also-surround-shimh -> origin/also-surround-shimh 2025-12-04T09:17:23.4040601Z * [new branch] angelayi/aot_compile -> origin/angelayi/aot_compile 2025-12-04T09:17:23.4042741Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-12-04T09:17:23.4044276Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-12-04T09:17:23.4046472Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-12-04T09:17:23.4047969Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-12-04T09:17:23.4050041Z * [new branch] angelayi/inductor_const -> origin/angelayi/inductor_const 2025-12-04T09:17:23.4051774Z * [new branch] angelayi/lstm -> origin/angelayi/lstm 2025-12-04T09:17:23.4054336Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-12-04T09:17:23.4056927Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-12-04T09:17:23.4058809Z * [new branch] angelayi/side_eff -> 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2025-12-04T09:17:24.4539430Z * [new branch] zainr/canary-test -> origin/zainr/canary-test 2025-12-04T09:17:24.4541422Z * [new branch] zainr/cleanup-gh-runners -> origin/zainr/cleanup-gh-runners 2025-12-04T09:17:24.4543140Z * [new branch] zainr/pull-migration-c -> origin/zainr/pull-migration-c 2025-12-04T09:17:24.4544856Z * [new branch] zainr/test2 -> origin/zainr/test2 2025-12-04T09:17:24.4547127Z * [new branch] zasdfgbnm-patch-3 -> origin/zasdfgbnm-patch-3 2025-12-04T09:17:24.4549013Z * [new branch] zb2p -> origin/zb2p 2025-12-04T09:17:24.4550941Z * [new branch] zeros-and-scatter-part2 -> origin/zeros-and-scatter-part2 2025-12-04T09:17:24.4554086Z * [new branch] zhxchen17/ci/vllm_lora_oom -> origin/zhxchen17/ci/vllm_lora_oom 2025-12-04T09:17:24.4555994Z * [new branch] zhxchen17/ci/vllm_multimodal_oom -> origin/zhxchen17/ci/vllm_multimodal_oom 2025-12-04T09:17:24.4557831Z * [new branch] zhxchen17/ci/vllm_pin -> origin/zhxchen17/ci/vllm_pin 2025-12-04T09:17:24.4561126Z * [new branch] 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origin/zhxchen17/precompile/inductor_guards 2025-12-04T09:17:24.4579730Z * [new branch] zhxchen17/scratch/0 -> origin/zhxchen17/scratch/0 2025-12-04T09:17:24.4581635Z * [new branch] zhxchen17/torch_export_api_update -> origin/zhxchen17/torch_export_api_update 2025-12-04T09:17:24.4584653Z * [new branch] zhxhcen17/moodycamel -> origin/zhxhcen17/moodycamel 2025-12-04T09:17:24.4587250Z * [new branch] zxiiro/build-times -> origin/zxiiro/build-times 2025-12-04T09:17:24.4589148Z * [new branch] zxiiro/c7i.2xlarge -> origin/zxiiro/c7i.2xlarge 2025-12-04T09:17:24.4591269Z * [new branch] zxiiro/c7i.2xlarge.h100 -> origin/zxiiro/c7i.2xlarge.h100 2025-12-04T09:17:24.4593181Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-12-04T09:17:24.4595115Z * [new branch] zxiiro/risc64 -> origin/zxiiro/risc64 2025-12-04T09:17:24.4597003Z * [new branch] zxiiro/test-multicloud-arc -> origin/zxiiro/test-multicloud-arc 2025-12-04T09:17:24.4598859Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-12-04T09:17:24.4600540Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-12-04T09:17:24.4602289Z * [new tag] ciflow/b200/115316 -> ciflow/b200/115316 2025-12-04T09:17:24.4603176Z * [new tag] ciflow/b200/160685 -> ciflow/b200/160685 2025-12-04T09:17:24.4604868Z * [new tag] ciflow/b200/161607 -> ciflow/b200/161607 2025-12-04T09:17:24.4605990Z * [new tag] ciflow/b200/161938 -> ciflow/b200/161938 2025-12-04T09:17:24.4607538Z * [new tag] ciflow/b200/167207 -> ciflow/b200/167207 2025-12-04T09:17:24.4608457Z * [new tag] ciflow/b200/167989 -> ciflow/b200/167989 2025-12-04T09:17:24.4610057Z * [new tag] ciflow/b200/168096 -> ciflow/b200/168096 2025-12-04T09:17:24.4611528Z * [new tag] ciflow/b200/168175 -> ciflow/b200/168175 2025-12-04T09:17:24.4612953Z * [new tag] ciflow/b200/168195 -> ciflow/b200/168195 2025-12-04T09:17:24.4614193Z * [new tag] ciflow/b200/169200 -> ciflow/b200/169200 2025-12-04T09:17:24.4615571Z * [new tag] ciflow/b200/169216 -> ciflow/b200/169216 2025-12-04T09:17:24.4617367Z * [new tag] ciflow/b200/169380 -> ciflow/b200/169380 2025-12-04T09:17:24.4619150Z * [new tag] ciflow/b200/169412 -> ciflow/b200/169412 2025-12-04T09:17:24.4620704Z * [new tag] ciflow/b200/169470 -> ciflow/b200/169470 2025-12-04T09:17:24.4622081Z * [new tag] ciflow/b200/169471 -> ciflow/b200/169471 2025-12-04T09:17:24.4623474Z * [new tag] ciflow/b200/169472 -> ciflow/b200/169472 2025-12-04T09:17:24.4625022Z * [new tag] ciflow/b200/169514 -> ciflow/b200/169514 2025-12-04T09:17:24.4626498Z * [new tag] ciflow/b200/169517 -> ciflow/b200/169517 2025-12-04T09:17:24.4628212Z * [new tag] ciflow/binaries/165922 -> ciflow/binaries/165922 2025-12-04T09:17:24.4629513Z * [new tag] ciflow/binaries/169510 -> ciflow/binaries/169510 2025-12-04T09:17:24.4631218Z * [new tag] ciflow/binaries_wheel/157994 -> ciflow/binaries_wheel/157994 2025-12-04T09:17:24.4632634Z * [new tag] ciflow/binaries_wheel/166829 -> ciflow/binaries_wheel/166829 2025-12-04T09:17:24.4633921Z * [new tag] ciflow/binaries_wheel/167972 -> ciflow/binaries_wheel/167972 2025-12-04T09:17:24.4635424Z * [new tag] ciflow/binaries_wheel/167981 -> ciflow/binaries_wheel/167981 2025-12-04T09:17:24.4637117Z * [new tag] ciflow/dynamo/167695 -> ciflow/dynamo/167695 2025-12-04T09:17:24.4637812Z * [new tag] ciflow/dynamo/168096 -> ciflow/dynamo/168096 2025-12-04T09:17:24.4639671Z * [new tag] ciflow/dynamo/169525 -> ciflow/dynamo/169525 2025-12-04T09:17:24.4641280Z * [new tag] ciflow/h100-cutlass-backend/161938 -> ciflow/h100-cutlass-backend/161938 2025-12-04T09:17:24.4642294Z * [new tag] ciflow/h100-cutlass-backend/161940 -> ciflow/h100-cutlass-backend/161940 2025-12-04T09:17:24.4644668Z * [new tag] ciflow/h100-distributed/168923 -> ciflow/h100-distributed/168923 2025-12-04T09:17:24.4646237Z * [new tag] ciflow/h100-symm-mem/167552 -> ciflow/h100-symm-mem/167552 2025-12-04T09:17:24.4647348Z * [new tag] ciflow/h100-symm-mem/168129 -> ciflow/h100-symm-mem/168129 2025-12-04T09:17:24.4648743Z * [new tag] ciflow/h100-symm-mem/168917 -> ciflow/h100-symm-mem/168917 2025-12-04T09:17:24.4650309Z * [new tag] ciflow/h100-symm-mem/169156 -> ciflow/h100-symm-mem/169156 2025-12-04T09:17:24.4651634Z * [new tag] ciflow/h100-symm-mem/169200 -> ciflow/h100-symm-mem/169200 2025-12-04T09:17:24.4652751Z * [new tag] ciflow/h100-symm-mem/169216 -> ciflow/h100-symm-mem/169216 2025-12-04T09:17:24.4654111Z * [new tag] ciflow/h100-symm-mem/169338 -> ciflow/h100-symm-mem/169338 2025-12-04T09:17:24.4655506Z * [new tag] ciflow/h100-symm-mem/169355 -> ciflow/h100-symm-mem/169355 2025-12-04T09:17:24.4656783Z * [new tag] ciflow/h100-symm-mem/169543 -> ciflow/h100-symm-mem/169543 2025-12-04T09:17:24.4658244Z * [new tag] ciflow/h100/115316 -> ciflow/h100/115316 2025-12-04T09:17:24.4659491Z * [new tag] ciflow/h100/160685 -> ciflow/h100/160685 2025-12-04T09:17:24.4660756Z * [new tag] ciflow/h100/160729 -> ciflow/h100/160729 2025-12-04T09:17:24.4662023Z * [new tag] ciflow/h100/161607 -> ciflow/h100/161607 2025-12-04T09:17:24.4663262Z * [new tag] ciflow/h100/161938 -> ciflow/h100/161938 2025-12-04T09:17:24.4664635Z * [new tag] ciflow/h100/167207 -> ciflow/h100/167207 2025-12-04T09:17:24.4665954Z * [new tag] ciflow/h100/167989 -> ciflow/h100/167989 2025-12-04T09:17:24.4667256Z * [new tag] ciflow/h100/168096 -> ciflow/h100/168096 2025-12-04T09:17:24.4668261Z * [new tag] ciflow/h100/168175 -> ciflow/h100/168175 2025-12-04T09:17:24.4669737Z * [new tag] ciflow/h100/168195 -> ciflow/h100/168195 2025-12-04T09:17:24.4671056Z * [new tag] ciflow/h100/168980 -> ciflow/h100/168980 2025-12-04T09:17:24.4672683Z * [new tag] ciflow/h100/169200 -> ciflow/h100/169200 2025-12-04T09:17:24.4674311Z * [new tag] ciflow/h100/169216 -> ciflow/h100/169216 2025-12-04T09:17:24.4675955Z * [new tag] ciflow/h100/169380 -> ciflow/h100/169380 2025-12-04T09:17:24.4677417Z * [new tag] ciflow/h100/169412 -> ciflow/h100/169412 2025-12-04T09:17:24.4678841Z * [new tag] ciflow/h100/169470 -> ciflow/h100/169470 2025-12-04T09:17:24.4680233Z * [new tag] ciflow/h100/169471 -> ciflow/h100/169471 2025-12-04T09:17:24.4681564Z * [new tag] ciflow/h100/169472 -> ciflow/h100/169472 2025-12-04T09:17:24.4682899Z * [new tag] ciflow/h100/169514 -> ciflow/h100/169514 2025-12-04T09:17:24.4684624Z * [new tag] ciflow/inductor-cu126/168096 -> ciflow/inductor-cu126/168096 2025-12-04T09:17:24.4686583Z * [new tag] ciflow/inductor-micro-benchmark-cpu-x86/168096 -> ciflow/inductor-micro-benchmark-cpu-x86/168096 2025-12-04T09:17:24.4688698Z * [new tag] ciflow/inductor-micro-benchmark/166165 -> ciflow/inductor-micro-benchmark/166165 2025-12-04T09:17:24.4689852Z * [new tag] ciflow/inductor-micro-benchmark/168096 -> ciflow/inductor-micro-benchmark/168096 2025-12-04T09:17:24.4691735Z * [new tag] ciflow/inductor-perf-compare/168096 -> ciflow/inductor-perf-compare/168096 2025-12-04T09:17:24.4693612Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/168073 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168073 2025-12-04T09:17:24.4694645Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/168096 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168096 2025-12-04T09:17:24.4696226Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi300/169024 2025-12-04T09:17:24.4697790Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi355/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi355/169024 2025-12-04T09:17:24.4699260Z * [new tag] ciflow/inductor-perf-test-nightly/168096 -> ciflow/inductor-perf-test-nightly/168096 2025-12-04T09:17:24.4700731Z * [new tag] ciflow/inductor-periodic/168096 -> ciflow/inductor-periodic/168096 2025-12-04T09:17:24.4701904Z * [new tag] ciflow/inductor-periodic/169024 -> ciflow/inductor-periodic/169024 2025-12-04T09:17:24.4703406Z * [new tag] ciflow/inductor-periodic/169425 -> ciflow/inductor-periodic/169425 2025-12-04T09:17:24.4705097Z * [new tag] ciflow/inductor-rocm-mi200/165545 -> ciflow/inductor-rocm-mi200/165545 2025-12-04T09:17:24.4706490Z * [new tag] ciflow/inductor-rocm-mi200/165997 -> ciflow/inductor-rocm-mi200/165997 2025-12-04T09:17:24.4707806Z * [new tag] ciflow/inductor-rocm-mi200/168096 -> ciflow/inductor-rocm-mi200/168096 2025-12-04T09:17:24.4709147Z * [new tag] ciflow/inductor-rocm-mi200/169063 -> ciflow/inductor-rocm-mi200/169063 2025-12-04T09:17:24.4710474Z * [new tag] ciflow/inductor-rocm-mi200/169425 -> ciflow/inductor-rocm-mi200/169425 2025-12-04T09:17:24.4712226Z * [new tag] ciflow/inductor-rocm-mi300/165545 -> ciflow/inductor-rocm-mi300/165545 2025-12-04T09:17:24.4713146Z * [new tag] ciflow/inductor-rocm-mi300/168096 -> ciflow/inductor-rocm-mi300/168096 2025-12-04T09:17:24.4714570Z * [new tag] ciflow/inductor-rocm-mi300/169063 -> ciflow/inductor-rocm-mi300/169063 2025-12-04T09:17:24.4715671Z * [new tag] ciflow/inductor-rocm-mi300/169425 -> ciflow/inductor-rocm-mi300/169425 2025-12-04T09:17:24.4717616Z * [new tag] ciflow/inductor-rocm/162052 -> ciflow/inductor-rocm/162052 2025-12-04T09:17:24.4719063Z * [new tag] ciflow/inductor-rocm/168971 -> ciflow/inductor-rocm/168971 2025-12-04T09:17:24.4720611Z * [new tag] ciflow/inductor-windows/168096 -> ciflow/inductor-windows/168096 2025-12-04T09:17:24.4722156Z * [new tag] ciflow/inductor/144542 -> ciflow/inductor/144542 2025-12-04T09:17:24.4723415Z * [new tag] ciflow/inductor/146506 -> ciflow/inductor/146506 2025-12-04T09:17:24.4724715Z * [new tag] ciflow/inductor/147990 -> ciflow/inductor/147990 2025-12-04T09:17:24.4726083Z * [new tag] ciflow/inductor/148294 -> ciflow/inductor/148294 2025-12-04T09:17:24.4727343Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-12-04T09:17:24.4728599Z * [new tag] ciflow/inductor/157149 -> ciflow/inductor/157149 2025-12-04T09:17:24.4729898Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-12-04T09:17:24.4731135Z * [new tag] ciflow/inductor/160685 -> ciflow/inductor/160685 2025-12-04T09:17:24.4732438Z * [new tag] ciflow/inductor/160686 -> ciflow/inductor/160686 2025-12-04T09:17:24.4733708Z * [new tag] ciflow/inductor/160687 -> ciflow/inductor/160687 2025-12-04T09:17:24.4734989Z * [new tag] ciflow/inductor/160688 -> ciflow/inductor/160688 2025-12-04T09:17:24.4736669Z * [new tag] ciflow/inductor/160706 -> ciflow/inductor/160706 2025-12-04T09:17:24.4738501Z * [new tag] ciflow/inductor/160729 -> ciflow/inductor/160729 2025-12-04T09:17:24.4740505Z * [new tag] ciflow/inductor/161938 -> ciflow/inductor/161938 2025-12-04T09:17:24.4741855Z * [new tag] ciflow/inductor/161939 -> ciflow/inductor/161939 2025-12-04T09:17:24.4743185Z * [new tag] ciflow/inductor/161940 -> ciflow/inductor/161940 2025-12-04T09:17:24.4744526Z * [new tag] ciflow/inductor/162052 -> ciflow/inductor/162052 2025-12-04T09:17:24.4745880Z * [new tag] ciflow/inductor/162275 -> ciflow/inductor/162275 2025-12-04T09:17:24.4747179Z * [new tag] ciflow/inductor/162795 -> ciflow/inductor/162795 2025-12-04T09:17:24.4748756Z * [new tag] ciflow/inductor/163245 -> ciflow/inductor/163245 2025-12-04T09:17:24.4750109Z * [new tag] ciflow/inductor/163335 -> ciflow/inductor/163335 2025-12-04T09:17:24.4751583Z * [new tag] ciflow/inductor/163503 -> ciflow/inductor/163503 2025-12-04T09:17:24.4752883Z * [new tag] ciflow/inductor/163942 -> ciflow/inductor/163942 2025-12-04T09:17:24.4754386Z * [new tag] ciflow/inductor/165270 -> ciflow/inductor/165270 2025-12-04T09:17:24.4755746Z * [new tag] ciflow/inductor/165274 -> ciflow/inductor/165274 2025-12-04T09:17:24.4757093Z * [new tag] ciflow/inductor/165322 -> ciflow/inductor/165322 2025-12-04T09:17:24.4758454Z * [new tag] ciflow/inductor/165597 -> ciflow/inductor/165597 2025-12-04T09:17:24.4759992Z * [new tag] ciflow/inductor/166063 -> ciflow/inductor/166063 2025-12-04T09:17:24.4761325Z * [new tag] ciflow/inductor/166075 -> ciflow/inductor/166075 2025-12-04T09:17:24.4762811Z * [new tag] ciflow/inductor/166165 -> ciflow/inductor/166165 2025-12-04T09:17:24.4764256Z * [new tag] ciflow/inductor/166254 -> ciflow/inductor/166254 2025-12-04T09:17:24.4765598Z * [new tag] ciflow/inductor/166483 -> ciflow/inductor/166483 2025-12-04T09:17:24.4766932Z * [new tag] ciflow/inductor/166494 -> ciflow/inductor/166494 2025-12-04T09:17:24.4768298Z * [new tag] ciflow/inductor/166545 -> ciflow/inductor/166545 2025-12-04T09:17:24.4769593Z * [new tag] ciflow/inductor/166788 -> ciflow/inductor/166788 2025-12-04T09:17:24.4771083Z * [new tag] ciflow/inductor/166846 -> ciflow/inductor/166846 2025-12-04T09:17:24.4772477Z * [new tag] ciflow/inductor/167300 -> ciflow/inductor/167300 2025-12-04T09:17:24.4773822Z * [new tag] ciflow/inductor/167407 -> ciflow/inductor/167407 2025-12-04T09:17:24.4775270Z * [new tag] ciflow/inductor/167536 -> ciflow/inductor/167536 2025-12-04T09:17:24.4776595Z * [new tag] ciflow/inductor/167552 -> ciflow/inductor/167552 2025-12-04T09:17:24.4777922Z * [new tag] ciflow/inductor/167555 -> ciflow/inductor/167555 2025-12-04T09:17:24.4779428Z * [new tag] ciflow/inductor/167583 -> ciflow/inductor/167583 2025-12-04T09:17:24.4780734Z * [new tag] ciflow/inductor/167599 -> ciflow/inductor/167599 2025-12-04T09:17:24.4782112Z * [new tag] ciflow/inductor/167647 -> ciflow/inductor/167647 2025-12-04T09:17:24.4783482Z * [new tag] ciflow/inductor/167677 -> ciflow/inductor/167677 2025-12-04T09:17:24.4784816Z * [new tag] ciflow/inductor/167680 -> ciflow/inductor/167680 2025-12-04T09:17:24.4786153Z * [new tag] ciflow/inductor/167695 -> ciflow/inductor/167695 2025-12-04T09:17:24.4787480Z * [new tag] ciflow/inductor/167742 -> ciflow/inductor/167742 2025-12-04T09:17:24.4789156Z * [new tag] ciflow/inductor/167768 -> ciflow/inductor/167768 2025-12-04T09:17:24.4790863Z * [new tag] ciflow/inductor/167773 -> ciflow/inductor/167773 2025-12-04T09:17:24.4792328Z * [new tag] ciflow/inductor/167781 -> ciflow/inductor/167781 2025-12-04T09:17:24.4793701Z * [new tag] ciflow/inductor/167880 -> ciflow/inductor/167880 2025-12-04T09:17:24.4795065Z * [new tag] ciflow/inductor/167887 -> ciflow/inductor/167887 2025-12-04T09:17:24.4796402Z * [new tag] ciflow/inductor/167972 -> ciflow/inductor/167972 2025-12-04T09:17:24.4797756Z * [new tag] ciflow/inductor/167989 -> ciflow/inductor/167989 2025-12-04T09:17:24.4799263Z * [new tag] ciflow/inductor/168002 -> ciflow/inductor/168002 2025-12-04T09:17:24.4800600Z * [new tag] ciflow/inductor/168050 -> ciflow/inductor/168050 2025-12-04T09:17:24.4802003Z * [new tag] ciflow/inductor/168051 -> ciflow/inductor/168051 2025-12-04T09:17:24.4803282Z * [new tag] ciflow/inductor/168052 -> ciflow/inductor/168052 2025-12-04T09:17:24.4804719Z * [new tag] ciflow/inductor/168073 -> ciflow/inductor/168073 2025-12-04T09:17:24.4806086Z * [new tag] ciflow/inductor/168096 -> ciflow/inductor/168096 2025-12-04T09:17:24.4807408Z * [new tag] ciflow/inductor/168114 -> ciflow/inductor/168114 2025-12-04T09:17:24.4808737Z * [new tag] ciflow/inductor/168115 -> ciflow/inductor/168115 2025-12-04T09:17:24.4810063Z * [new tag] ciflow/inductor/168127 -> ciflow/inductor/168127 2025-12-04T09:17:24.4811457Z * [new tag] ciflow/inductor/168129 -> ciflow/inductor/168129 2025-12-04T09:17:24.4812797Z * [new tag] ciflow/inductor/168157 -> ciflow/inductor/168157 2025-12-04T09:17:24.4814309Z * [new tag] ciflow/inductor/168175 -> ciflow/inductor/168175 2025-12-04T09:17:24.4815261Z * [new tag] ciflow/inductor/168185 -> ciflow/inductor/168185 2025-12-04T09:17:24.4816782Z * [new tag] ciflow/inductor/168195 -> ciflow/inductor/168195 2025-12-04T09:17:24.4818216Z * [new tag] ciflow/inductor/168209 -> ciflow/inductor/168209 2025-12-04T09:17:24.4819533Z * [new tag] ciflow/inductor/168266 -> ciflow/inductor/168266 2025-12-04T09:17:24.4820872Z * [new tag] ciflow/inductor/168316 -> ciflow/inductor/168316 2025-12-04T09:17:24.4822351Z * [new tag] ciflow/inductor/168326 -> ciflow/inductor/168326 2025-12-04T09:17:24.4823714Z * [new tag] ciflow/inductor/168368 -> ciflow/inductor/168368 2025-12-04T09:17:24.4825064Z * [new tag] ciflow/inductor/168894 -> ciflow/inductor/168894 2025-12-04T09:17:24.4826426Z * [new tag] ciflow/inductor/168934 -> ciflow/inductor/168934 2025-12-04T09:17:24.4827767Z * [new tag] ciflow/inductor/168939 -> ciflow/inductor/168939 2025-12-04T09:17:24.4829551Z * [new tag] ciflow/inductor/168946 -> ciflow/inductor/168946 2025-12-04T09:17:24.4830922Z * [new tag] ciflow/inductor/168950 -> ciflow/inductor/168950 2025-12-04T09:17:24.4832323Z * [new tag] ciflow/inductor/168951 -> ciflow/inductor/168951 2025-12-04T09:17:24.4833659Z * [new tag] ciflow/inductor/168952 -> ciflow/inductor/168952 2025-12-04T09:17:24.4834984Z * [new tag] ciflow/inductor/168955 -> ciflow/inductor/168955 2025-12-04T09:17:24.4836327Z * [new tag] ciflow/inductor/168971 -> ciflow/inductor/168971 2025-12-04T09:17:24.4837703Z * [new tag] ciflow/inductor/168979 -> ciflow/inductor/168979 2025-12-04T09:17:24.4839433Z * [new tag] ciflow/inductor/168980 -> ciflow/inductor/168980 2025-12-04T09:17:24.4840879Z * [new tag] ciflow/inductor/168983 -> ciflow/inductor/168983 2025-12-04T09:17:24.4842242Z * [new tag] ciflow/inductor/169006 -> ciflow/inductor/169006 2025-12-04T09:17:24.4843636Z * [new tag] ciflow/inductor/169023 -> ciflow/inductor/169023 2025-12-04T09:17:24.4845014Z * [new tag] ciflow/inductor/169024 -> ciflow/inductor/169024 2025-12-04T09:17:24.4846297Z * [new tag] ciflow/inductor/169025 -> ciflow/inductor/169025 2025-12-04T09:17:24.4847669Z * [new tag] ciflow/inductor/169066 -> ciflow/inductor/169066 2025-12-04T09:17:24.4849125Z * [new tag] ciflow/inductor/169091 -> ciflow/inductor/169091 2025-12-04T09:17:24.4850508Z * [new tag] ciflow/inductor/169102 -> ciflow/inductor/169102 2025-12-04T09:17:24.4851863Z * [new tag] ciflow/inductor/169103 -> ciflow/inductor/169103 2025-12-04T09:17:24.4853191Z * [new tag] ciflow/inductor/169121 -> ciflow/inductor/169121 2025-12-04T09:17:24.4854530Z * [new tag] ciflow/inductor/169134 -> ciflow/inductor/169134 2025-12-04T09:17:24.4855889Z * [new tag] ciflow/inductor/169135 -> ciflow/inductor/169135 2025-12-04T09:17:24.4857232Z * [new tag] ciflow/inductor/169141 -> ciflow/inductor/169141 2025-12-04T09:17:24.4858573Z * [new tag] ciflow/inductor/169151 -> ciflow/inductor/169151 2025-12-04T09:17:24.4860048Z * [new tag] ciflow/inductor/169161 -> ciflow/inductor/169161 2025-12-04T09:17:24.4861409Z * [new tag] ciflow/inductor/169167 -> ciflow/inductor/169167 2025-12-04T09:17:24.4862929Z * [new tag] ciflow/inductor/169177 -> ciflow/inductor/169177 2025-12-04T09:17:24.4864522Z * [new tag] ciflow/inductor/169185 -> ciflow/inductor/169185 2025-12-04T09:17:24.4865775Z * [new tag] ciflow/inductor/169196 -> ciflow/inductor/169196 2025-12-04T09:17:24.4867148Z * [new tag] ciflow/inductor/169200 -> ciflow/inductor/169200 2025-12-04T09:17:24.4868467Z * [new tag] ciflow/inductor/169204 -> ciflow/inductor/169204 2025-12-04T09:17:24.4869839Z * [new tag] ciflow/inductor/169216 -> ciflow/inductor/169216 2025-12-04T09:17:24.4871174Z * [new tag] ciflow/inductor/169219 -> ciflow/inductor/169219 2025-12-04T09:17:24.4872550Z * [new tag] ciflow/inductor/169220 -> ciflow/inductor/169220 2025-12-04T09:17:24.4874187Z * [new tag] ciflow/inductor/169230 -> ciflow/inductor/169230 2025-12-04T09:17:24.4875532Z * [new tag] ciflow/inductor/169242 -> ciflow/inductor/169242 2025-12-04T09:17:24.4876925Z * [new tag] ciflow/inductor/169245 -> ciflow/inductor/169245 2025-12-04T09:17:24.4878483Z * [new tag] ciflow/inductor/169260 -> ciflow/inductor/169260 2025-12-04T09:17:24.4879953Z * [new tag] ciflow/inductor/169282 -> ciflow/inductor/169282 2025-12-04T09:17:24.4881318Z * [new tag] ciflow/inductor/169286 -> ciflow/inductor/169286 2025-12-04T09:17:24.4882668Z * [new tag] ciflow/inductor/169299 -> ciflow/inductor/169299 2025-12-04T09:17:24.4884228Z * [new tag] ciflow/inductor/169304 -> ciflow/inductor/169304 2025-12-04T09:17:24.4885937Z * [new tag] ciflow/inductor/169305 -> ciflow/inductor/169305 2025-12-04T09:17:24.4887280Z * [new tag] ciflow/inductor/169308 -> ciflow/inductor/169308 2025-12-04T09:17:24.4888779Z * [new tag] ciflow/inductor/169319 -> ciflow/inductor/169319 2025-12-04T09:17:24.4890442Z * [new tag] ciflow/inductor/169326 -> ciflow/inductor/169326 2025-12-04T09:17:24.4891860Z * [new tag] ciflow/inductor/169332 -> ciflow/inductor/169332 2025-12-04T09:17:24.4893220Z * [new tag] ciflow/inductor/169333 -> ciflow/inductor/169333 2025-12-04T09:17:24.4894946Z * [new tag] ciflow/inductor/169336 -> ciflow/inductor/169336 2025-12-04T09:17:24.4896306Z * [new tag] ciflow/inductor/169340 -> ciflow/inductor/169340 2025-12-04T09:17:24.4897711Z * [new tag] ciflow/inductor/169341 -> ciflow/inductor/169341 2025-12-04T09:17:24.4899039Z * [new tag] ciflow/inductor/169343 -> ciflow/inductor/169343 2025-12-04T09:17:24.4900379Z * [new tag] ciflow/inductor/169346 -> ciflow/inductor/169346 2025-12-04T09:17:24.4901844Z * [new tag] ciflow/inductor/169348 -> ciflow/inductor/169348 2025-12-04T09:17:24.4903288Z * [new tag] ciflow/inductor/169350 -> ciflow/inductor/169350 2025-12-04T09:17:24.4904629Z * [new tag] ciflow/inductor/169355 -> ciflow/inductor/169355 2025-12-04T09:17:24.4905955Z * [new tag] ciflow/inductor/169370 -> ciflow/inductor/169370 2025-12-04T09:17:24.4907579Z * [new tag] ciflow/inductor/169375 -> ciflow/inductor/169375 2025-12-04T09:17:24.4908905Z * [new tag] ciflow/inductor/169389 -> ciflow/inductor/169389 2025-12-04T09:17:24.4910232Z * [new tag] ciflow/inductor/169391 -> ciflow/inductor/169391 2025-12-04T09:17:24.4911618Z * [new tag] ciflow/inductor/169393 -> ciflow/inductor/169393 2025-12-04T09:17:24.4912938Z * [new tag] ciflow/inductor/169399 -> ciflow/inductor/169399 2025-12-04T09:17:24.4914422Z * [new tag] ciflow/inductor/169400 -> ciflow/inductor/169400 2025-12-04T09:17:24.4915752Z * [new tag] ciflow/inductor/169415 -> ciflow/inductor/169415 2025-12-04T09:17:24.4917237Z * [new tag] ciflow/inductor/169417 -> ciflow/inductor/169417 2025-12-04T09:17:24.4918416Z * [new tag] ciflow/inductor/169418 -> ciflow/inductor/169418 2025-12-04T09:17:24.4920593Z * [new tag] ciflow/inductor/169430 -> ciflow/inductor/169430 2025-12-04T09:17:24.4921856Z * [new tag] ciflow/inductor/169432 -> ciflow/inductor/169432 2025-12-04T09:17:24.4923257Z * [new tag] ciflow/inductor/169436 -> ciflow/inductor/169436 2025-12-04T09:17:24.4924731Z * [new tag] ciflow/inductor/169437 -> ciflow/inductor/169437 2025-12-04T09:17:24.4926054Z * [new tag] ciflow/inductor/169438 -> ciflow/inductor/169438 2025-12-04T09:17:24.4927375Z * [new tag] ciflow/inductor/169441 -> ciflow/inductor/169441 2025-12-04T09:17:24.4928742Z * [new tag] ciflow/inductor/169446 -> ciflow/inductor/169446 2025-12-04T09:17:24.4930188Z * [new tag] ciflow/inductor/169447 -> ciflow/inductor/169447 2025-12-04T09:17:24.4931574Z * [new tag] ciflow/inductor/169452 -> ciflow/inductor/169452 2025-12-04T09:17:24.4933039Z * [new tag] ciflow/inductor/169455 -> ciflow/inductor/169455 2025-12-04T09:17:24.4934412Z * [new tag] ciflow/inductor/169459 -> ciflow/inductor/169459 2025-12-04T09:17:24.4935827Z * [new tag] ciflow/inductor/169463 -> ciflow/inductor/169463 2025-12-04T09:17:24.4937288Z * [new tag] ciflow/inductor/169476 -> ciflow/inductor/169476 2025-12-04T09:17:24.4938665Z * [new tag] ciflow/inductor/169485 -> ciflow/inductor/169485 2025-12-04T09:17:24.4940103Z * [new tag] ciflow/inductor/169493 -> ciflow/inductor/169493 2025-12-04T09:17:24.4941408Z * [new tag] ciflow/inductor/169496 -> ciflow/inductor/169496 2025-12-04T09:17:24.4942775Z * [new tag] ciflow/inductor/169497 -> ciflow/inductor/169497 2025-12-04T09:17:24.4944123Z * [new tag] ciflow/inductor/169503 -> ciflow/inductor/169503 2025-12-04T09:17:24.4945486Z * [new tag] ciflow/inductor/169504 -> ciflow/inductor/169504 2025-12-04T09:17:24.4947025Z * [new tag] ciflow/inductor/169505 -> ciflow/inductor/169505 2025-12-04T09:17:24.4948776Z * [new tag] ciflow/inductor/169508 -> ciflow/inductor/169508 2025-12-04T09:17:24.4950105Z * [new tag] ciflow/inductor/169509 -> ciflow/inductor/169509 2025-12-04T09:17:24.4951580Z * [new tag] ciflow/inductor/169513 -> ciflow/inductor/169513 2025-12-04T09:17:24.4952870Z * [new tag] ciflow/inductor/169514 -> ciflow/inductor/169514 2025-12-04T09:17:24.4954191Z * [new tag] ciflow/inductor/169515 -> ciflow/inductor/169515 2025-12-04T09:17:24.4955520Z * [new tag] ciflow/inductor/169517 -> ciflow/inductor/169517 2025-12-04T09:17:24.4956880Z * [new tag] ciflow/inductor/169519 -> ciflow/inductor/169519 2025-12-04T09:17:24.4958262Z * [new tag] ciflow/inductor/169520 -> ciflow/inductor/169520 2025-12-04T09:17:24.4959675Z * [new tag] ciflow/inductor/169521 -> ciflow/inductor/169521 2025-12-04T09:17:24.4961074Z * [new tag] ciflow/inductor/169524 -> ciflow/inductor/169524 2025-12-04T09:17:24.4962460Z * [new tag] ciflow/inductor/169527 -> ciflow/inductor/169527 2025-12-04T09:17:24.4963809Z * [new tag] ciflow/inductor/169528 -> ciflow/inductor/169528 2025-12-04T09:17:24.4965271Z * [new tag] ciflow/inductor/169532 -> ciflow/inductor/169532 2025-12-04T09:17:24.4966602Z * [new tag] ciflow/inductor/169535 -> ciflow/inductor/169535 2025-12-04T09:17:24.4967940Z * [new tag] ciflow/inductor/169536 -> ciflow/inductor/169536 2025-12-04T09:17:24.4969414Z * [new tag] ciflow/inductor/169547 -> ciflow/inductor/169547 2025-12-04T09:17:24.4970687Z * [new tag] ciflow/inductor/169548 -> ciflow/inductor/169548 2025-12-04T09:17:24.4971988Z * [new tag] ciflow/inductor/169549 -> ciflow/inductor/169549 2025-12-04T09:17:24.4973399Z * [new tag] ciflow/inductor/169551 -> ciflow/inductor/169551 2025-12-04T09:17:24.4974727Z * [new tag] ciflow/inductor/169552 -> ciflow/inductor/169552 2025-12-04T09:17:24.4976049Z * [new tag] ciflow/inductor/169553 -> ciflow/inductor/169553 2025-12-04T09:17:24.4977393Z * [new tag] ciflow/inductor/169557 -> ciflow/inductor/169557 2025-12-04T09:17:24.4978972Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-12-04T09:17:24.4980504Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-12-04T09:17:24.4982014Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-12-04T09:17:24.4983661Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-12-04T09:17:24.4984959Z * [new tag] ciflow/linux-aarch64/166075 -> ciflow/linux-aarch64/166075 2025-12-04T09:17:24.4986197Z * [new tag] ciflow/linux-aarch64/166876 -> ciflow/linux-aarch64/166876 2025-12-04T09:17:24.4987447Z * [new tag] ciflow/linux-aarch64/167981 -> ciflow/linux-aarch64/167981 2025-12-04T09:17:24.4990556Z * [new tag] ciflow/mps/166254 -> ciflow/mps/166254 2025-12-04T09:17:24.4991471Z * [new tag] ciflow/mps/169017 -> ciflow/mps/169017 2025-12-04T09:17:24.4993032Z * [new tag] ciflow/mps/169372 -> ciflow/mps/169372 2025-12-04T09:17:24.4994303Z * [new tag] ciflow/mps/169478 -> ciflow/mps/169478 2025-12-04T09:17:24.4995889Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-12-04T09:17:24.4997016Z * [new tag] ciflow/op-benchmark/166075 -> ciflow/op-benchmark/166075 2025-12-04T09:17:24.4998399Z * [new tag] ciflow/op-benchmark/169544 -> ciflow/op-benchmark/169544 2025-12-04T09:17:24.5000076Z * [new tag] ciflow/periodic-rocm-mi200/165997 -> ciflow/periodic-rocm-mi200/165997 2025-12-04T09:17:24.5001465Z * [new tag] ciflow/periodic-rocm-mi200/166517 -> ciflow/periodic-rocm-mi200/166517 2025-12-04T09:17:24.5002776Z * [new tag] ciflow/periodic-rocm-mi200/169063 -> ciflow/periodic-rocm-mi200/169063 2025-12-04T09:17:24.5004101Z * [new tag] ciflow/periodic-rocm-mi200/169425 -> ciflow/periodic-rocm-mi200/169425 2025-12-04T09:17:24.5005665Z * [new tag] ciflow/periodic-rocm-mi300/166517 -> ciflow/periodic-rocm-mi300/166517 2025-12-04T09:17:24.5006956Z * [new tag] ciflow/periodic-rocm-mi300/169063 -> ciflow/periodic-rocm-mi300/169063 2025-12-04T09:17:24.5008131Z * [new tag] ciflow/periodic-rocm-mi300/169425 -> ciflow/periodic-rocm-mi300/169425 2025-12-04T09:17:24.5009998Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-12-04T09:17:24.5011254Z * [new tag] ciflow/periodic/167207 -> ciflow/periodic/167207 2025-12-04T09:17:24.5012731Z * [new tag] ciflow/periodic/167978 -> ciflow/periodic/167978 2025-12-04T09:17:24.5013975Z * [new tag] ciflow/periodic/168096 -> ciflow/periodic/168096 2025-12-04T09:17:24.5015238Z * [new tag] ciflow/periodic/169286 -> ciflow/periodic/169286 2025-12-04T09:17:24.5016785Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-12-04T09:17:24.5018240Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-12-04T09:17:24.5019785Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-12-04T09:17:24.5021131Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-12-04T09:17:24.5023409Z * [new tag] ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 2025-12-04T09:17:24.5025056Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-12-04T09:17:24.5026915Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-12-04T09:17:24.5028420Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-12-04T09:17:24.5029932Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-12-04T09:17:24.5031541Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-12-04T09:17:24.5033183Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-12-04T09:17:24.5034829Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-12-04T09:17:24.5036358Z * [new tag] ciflow/pull/167207 -> ciflow/pull/167207 2025-12-04T09:17:24.5038282Z * [new tag] ciflow/quantization-periodic/169207 -> ciflow/quantization-periodic/169207 2025-12-04T09:17:24.5039812Z * [new tag] ciflow/rocm-mi200/165545 -> ciflow/rocm-mi200/165545 2025-12-04T09:17:24.5041089Z * [new tag] ciflow/rocm-mi200/165997 -> ciflow/rocm-mi200/165997 2025-12-04T09:17:24.5042338Z * [new tag] ciflow/rocm-mi200/168096 -> ciflow/rocm-mi200/168096 2025-12-04T09:17:24.5043764Z * [new tag] ciflow/rocm-mi200/168275 -> ciflow/rocm-mi200/168275 2025-12-04T09:17:24.5045072Z * [new tag] ciflow/rocm-mi200/169063 -> ciflow/rocm-mi200/169063 2025-12-04T09:17:24.5046496Z * [new tag] ciflow/rocm-mi200/169356 -> ciflow/rocm-mi200/169356 2025-12-04T09:17:24.5047761Z * [new tag] ciflow/rocm-mi200/169425 -> ciflow/rocm-mi200/169425 2025-12-04T09:17:24.5049313Z * [new tag] ciflow/rocm-mi300/165545 -> ciflow/rocm-mi300/165545 2025-12-04T09:17:24.5050824Z * [new tag] ciflow/rocm-mi300/167157 -> ciflow/rocm-mi300/167157 2025-12-04T09:17:24.5052659Z * [new tag] ciflow/rocm-mi300/168096 -> ciflow/rocm-mi300/168096 2025-12-04T09:17:24.5053928Z * [new tag] ciflow/rocm-mi300/169063 -> ciflow/rocm-mi300/169063 2025-12-04T09:17:24.5055224Z * [new tag] ciflow/rocm-mi300/169425 -> ciflow/rocm-mi300/169425 2025-12-04T09:17:24.5056769Z * [new tag] ciflow/rocm-mi355/167157 -> ciflow/rocm-mi355/167157 2025-12-04T09:17:24.5058083Z * [new tag] ciflow/rocm-mi355/168275 -> ciflow/rocm-mi355/168275 2025-12-04T09:17:24.5059332Z * [new tag] ciflow/rocm-mi355/169425 -> ciflow/rocm-mi355/169425 2025-12-04T09:17:24.5061022Z * [new tag] ciflow/rocm-navi31/168275 -> ciflow/rocm-navi31/168275 2025-12-04T09:17:24.5062257Z * [new tag] ciflow/rocm-navi31/169425 -> ciflow/rocm-navi31/169425 2025-12-04T09:17:24.5063792Z * [new tag] ciflow/rocm/115316 -> ciflow/rocm/115316 2025-12-04T09:17:24.5065062Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-12-04T09:17:24.5066319Z * [new tag] ciflow/rocm/160685 -> ciflow/rocm/160685 2025-12-04T09:17:24.5067580Z * [new tag] ciflow/rocm/161607 -> ciflow/rocm/161607 2025-12-04T09:17:24.5068824Z * [new tag] ciflow/rocm/162052 -> ciflow/rocm/162052 2025-12-04T09:17:24.5070131Z * [new tag] ciflow/rocm/165997 -> ciflow/rocm/165997 2025-12-04T09:17:24.5071478Z * [new tag] ciflow/rocm/166165 -> ciflow/rocm/166165 2025-12-04T09:17:24.5072567Z * [new tag] ciflow/rocm/166517 -> ciflow/rocm/166517 2025-12-04T09:17:24.5073919Z * [new tag] ciflow/rocm/167207 -> ciflow/rocm/167207 2025-12-04T09:17:24.5075166Z * [new tag] ciflow/rocm/167536 -> ciflow/rocm/167536 2025-12-04T09:17:24.5076361Z * [new tag] ciflow/rocm/167781 -> ciflow/rocm/167781 2025-12-04T09:17:24.5078216Z * [new tag] ciflow/rocm/167989 -> ciflow/rocm/167989 2025-12-04T09:17:24.5080032Z * [new tag] ciflow/rocm/168073 -> ciflow/rocm/168073 2025-12-04T09:17:24.5081582Z * [new tag] ciflow/rocm/168195 -> ciflow/rocm/168195 2025-12-04T09:17:24.5082949Z * [new tag] ciflow/rocm/168939 -> ciflow/rocm/168939 2025-12-04T09:17:24.5084278Z * [new tag] ciflow/rocm/168971 -> ciflow/rocm/168971 2025-12-04T09:17:24.5085614Z * [new tag] ciflow/rocm/169024 -> ciflow/rocm/169024 2025-12-04T09:17:24.5086946Z * [new tag] ciflow/rocm/169200 -> ciflow/rocm/169200 2025-12-04T09:17:24.5088495Z * [new tag] ciflow/rocm/169216 -> ciflow/rocm/169216 2025-12-04T09:17:24.5093116Z * [new tag] ciflow/rocm/169312 -> ciflow/rocm/169312 2025-12-04T09:17:24.5094225Z * [new tag] ciflow/rocm/169380 -> ciflow/rocm/169380 2025-12-04T09:17:24.5095637Z * [new tag] ciflow/rocm/169427 -> ciflow/rocm/169427 2025-12-04T09:17:24.5096957Z * [new tag] ciflow/rocm/169455 -> ciflow/rocm/169455 2025-12-04T09:17:24.5098273Z * [new tag] ciflow/rocm/169470 -> ciflow/rocm/169470 2025-12-04T09:17:24.5099602Z * [new tag] ciflow/rocm/169471 -> ciflow/rocm/169471 2025-12-04T09:17:24.5101476Z * [new tag] ciflow/rocm/169472 -> ciflow/rocm/169472 2025-12-04T09:17:24.5102886Z * [new tag] ciflow/rocm/169514 -> ciflow/rocm/169514 2025-12-04T09:17:24.5104598Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-12-04T09:17:24.5106119Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-12-04T09:17:24.5107991Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-12-04T09:17:24.5108904Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-12-04T09:17:24.5110364Z * [new tag] ciflow/slow/167207 -> ciflow/slow/167207 2025-12-04T09:17:24.5111941Z * [new tag] ciflow/slow/168050 -> ciflow/slow/168050 2025-12-04T09:17:24.5113979Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-12-04T09:17:24.5115821Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-12-04T09:17:24.5117614Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-12-04T09:17:24.5119569Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-12-04T09:17:24.5121340Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-12-04T09:17:24.5122819Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-12-04T09:17:24.5124310Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-12-04T09:17:24.5125759Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-12-04T09:17:24.5127672Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-12-04T09:17:24.5128570Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-12-04T09:17:24.5130380Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-12-04T09:17:24.5131720Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-12-04T09:17:24.5133202Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-12-04T09:17:24.5134885Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-12-04T09:17:24.5136798Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-12-04T09:17:24.5138124Z * [new tag] ciflow/torchbench/168175 -> ciflow/torchbench/168175 2025-12-04T09:17:24.5139928Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-12-04T09:17:24.5140714Z * [new tag] ciflow/trunk/157149 -> ciflow/trunk/157149 2025-12-04T09:17:24.5142206Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-12-04T09:17:24.5143113Z * [new tag] ciflow/trunk/159718 -> ciflow/trunk/159718 2025-12-04T09:17:24.5144851Z * [new tag] ciflow/trunk/160685 -> ciflow/trunk/160685 2025-12-04T09:17:24.5146072Z * [new tag] ciflow/trunk/160729 -> ciflow/trunk/160729 2025-12-04T09:17:24.5147328Z * [new tag] ciflow/trunk/162275 -> ciflow/trunk/162275 2025-12-04T09:17:24.5148591Z * [new tag] ciflow/trunk/162795 -> ciflow/trunk/162795 2025-12-04T09:17:24.5149860Z * [new tag] ciflow/trunk/163245 -> ciflow/trunk/163245 2025-12-04T09:17:24.5151222Z * [new tag] ciflow/trunk/163942 -> ciflow/trunk/163942 2025-12-04T09:17:24.5152482Z * [new tag] ciflow/trunk/165274 -> ciflow/trunk/165274 2025-12-04T09:17:24.5154322Z * [new tag] ciflow/trunk/165483 -> ciflow/trunk/165483 2025-12-04T09:17:24.5156006Z * [new tag] ciflow/trunk/165728 -> ciflow/trunk/165728 2025-12-04T09:17:24.5157584Z * [new tag] ciflow/trunk/165922 -> ciflow/trunk/165922 2025-12-04T09:17:24.5159097Z * [new tag] ciflow/trunk/166075 -> ciflow/trunk/166075 2025-12-04T09:17:24.5160439Z * [new tag] ciflow/trunk/166165 -> ciflow/trunk/166165 2025-12-04T09:17:24.5161778Z * [new tag] ciflow/trunk/166829 -> ciflow/trunk/166829 2025-12-04T09:17:24.5163279Z * [new tag] ciflow/trunk/166843 -> ciflow/trunk/166843 2025-12-04T09:17:24.5164616Z * [new tag] ciflow/trunk/166876 -> ciflow/trunk/166876 2025-12-04T09:17:24.5165969Z * [new tag] ciflow/trunk/167207 -> ciflow/trunk/167207 2025-12-04T09:17:24.5167276Z * [new tag] ciflow/trunk/167536 -> ciflow/trunk/167536 2025-12-04T09:17:24.5168628Z * [new tag] ciflow/trunk/167552 -> ciflow/trunk/167552 2025-12-04T09:17:24.5169952Z * [new tag] ciflow/trunk/167555 -> ciflow/trunk/167555 2025-12-04T09:17:24.5171334Z * [new tag] ciflow/trunk/167599 -> ciflow/trunk/167599 2025-12-04T09:17:24.5172670Z * [new tag] ciflow/trunk/167659 -> ciflow/trunk/167659 2025-12-04T09:17:24.5174184Z * [new tag] ciflow/trunk/167672 -> ciflow/trunk/167672 2025-12-04T09:17:24.5175514Z * [new tag] ciflow/trunk/167742 -> ciflow/trunk/167742 2025-12-04T09:17:24.5176843Z * [new tag] ciflow/trunk/167781 -> ciflow/trunk/167781 2025-12-04T09:17:24.5187004Z * [new tag] ciflow/trunk/167837 -> ciflow/trunk/167837 2025-12-04T09:17:24.5187363Z * [new tag] ciflow/trunk/167887 -> ciflow/trunk/167887 2025-12-04T09:17:24.5187539Z * [new tag] ciflow/trunk/167978 -> ciflow/trunk/167978 2025-12-04T09:17:24.5187843Z * [new tag] ciflow/trunk/168050 -> ciflow/trunk/168050 2025-12-04T09:17:24.5188009Z * [new tag] ciflow/trunk/168051 -> ciflow/trunk/168051 2025-12-04T09:17:24.5188380Z * [new tag] ciflow/trunk/168096 -> ciflow/trunk/168096 2025-12-04T09:17:24.5188698Z * [new tag] ciflow/trunk/168127 -> ciflow/trunk/168127 2025-12-04T09:17:24.5188856Z * [new tag] ciflow/trunk/168157 -> ciflow/trunk/168157 2025-12-04T09:17:24.5189055Z * [new tag] ciflow/trunk/168175 -> ciflow/trunk/168175 2025-12-04T09:17:24.5190880Z * [new tag] ciflow/trunk/168209 -> ciflow/trunk/168209 2025-12-04T09:17:24.5192260Z * [new tag] ciflow/trunk/168213 -> ciflow/trunk/168213 2025-12-04T09:17:24.5193698Z * [new tag] ciflow/trunk/168226 -> ciflow/trunk/168226 2025-12-04T09:17:24.5195102Z * [new tag] ciflow/trunk/168262 -> ciflow/trunk/168262 2025-12-04T09:17:24.5196540Z * [new tag] ciflow/trunk/168275 -> ciflow/trunk/168275 2025-12-04T09:17:24.5198100Z * [new tag] ciflow/trunk/168328 -> ciflow/trunk/168328 2025-12-04T09:17:24.5199513Z * [new tag] ciflow/trunk/168368 -> ciflow/trunk/168368 2025-12-04T09:17:24.5200848Z * [new tag] ciflow/trunk/168917 -> ciflow/trunk/168917 2025-12-04T09:17:24.5202193Z * [new tag] ciflow/trunk/168933 -> ciflow/trunk/168933 2025-12-04T09:17:24.5203661Z * [new tag] ciflow/trunk/168941 -> ciflow/trunk/168941 2025-12-04T09:17:24.5205021Z * [new tag] ciflow/trunk/168955 -> ciflow/trunk/168955 2025-12-04T09:17:24.5206340Z * [new tag] ciflow/trunk/168980 -> ciflow/trunk/168980 2025-12-04T09:17:24.5207909Z * [new tag] ciflow/trunk/169004 -> ciflow/trunk/169004 2025-12-04T09:17:24.5209244Z * [new tag] ciflow/trunk/169006 -> ciflow/trunk/169006 2025-12-04T09:17:24.5210592Z * [new tag] ciflow/trunk/169023 -> ciflow/trunk/169023 2025-12-04T09:17:24.5212441Z * [new tag] ciflow/trunk/169025 -> ciflow/trunk/169025 2025-12-04T09:17:24.5213816Z * [new tag] ciflow/trunk/169048 -> ciflow/trunk/169048 2025-12-04T09:17:24.5215157Z * [new tag] ciflow/trunk/169066 -> ciflow/trunk/169066 2025-12-04T09:17:24.5216605Z * [new tag] ciflow/trunk/169091 -> ciflow/trunk/169091 2025-12-04T09:17:24.5217919Z * [new tag] ciflow/trunk/169102 -> ciflow/trunk/169102 2025-12-04T09:17:24.5219272Z * [new tag] ciflow/trunk/169103 -> ciflow/trunk/169103 2025-12-04T09:17:24.5220754Z * [new tag] ciflow/trunk/169125 -> ciflow/trunk/169125 2025-12-04T09:17:24.5222277Z * [new tag] ciflow/trunk/169139 -> ciflow/trunk/169139 2025-12-04T09:17:24.5223733Z * [new tag] ciflow/trunk/169148 -> ciflow/trunk/169148 2025-12-04T09:17:24.5225068Z * [new tag] ciflow/trunk/169151 -> ciflow/trunk/169151 2025-12-04T09:17:24.5226485Z * [new tag] ciflow/trunk/169156 -> ciflow/trunk/169156 2025-12-04T09:17:24.5228032Z * [new tag] ciflow/trunk/169176 -> ciflow/trunk/169176 2025-12-04T09:17:24.5229361Z * [new tag] ciflow/trunk/169204 -> ciflow/trunk/169204 2025-12-04T09:17:24.5230694Z * [new tag] ciflow/trunk/169207 -> ciflow/trunk/169207 2025-12-04T09:17:24.5232267Z * [new tag] ciflow/trunk/169211 -> ciflow/trunk/169211 2025-12-04T09:17:24.5233922Z * [new tag] ciflow/trunk/169231 -> ciflow/trunk/169231 2025-12-04T09:17:24.5235403Z * [new tag] ciflow/trunk/169260 -> ciflow/trunk/169260 2025-12-04T09:17:24.5236939Z * [new tag] ciflow/trunk/169271 -> ciflow/trunk/169271 2025-12-04T09:17:24.5238366Z * [new tag] ciflow/trunk/169280 -> ciflow/trunk/169280 2025-12-04T09:17:24.5239785Z * [new tag] ciflow/trunk/169281 -> ciflow/trunk/169281 2025-12-04T09:17:24.5241118Z * [new tag] ciflow/trunk/169286 -> ciflow/trunk/169286 2025-12-04T09:17:24.5242729Z * [new tag] ciflow/trunk/169293 -> ciflow/trunk/169293 2025-12-04T09:17:24.5244106Z * [new tag] ciflow/trunk/169296 -> ciflow/trunk/169296 2025-12-04T09:17:24.5245462Z * [new tag] ciflow/trunk/169304 -> ciflow/trunk/169304 2025-12-04T09:17:24.5246777Z * [new tag] ciflow/trunk/169305 -> ciflow/trunk/169305 2025-12-04T09:17:24.5248112Z * [new tag] ciflow/trunk/169312 -> ciflow/trunk/169312 2025-12-04T09:17:24.5249758Z * [new tag] ciflow/trunk/169328 -> ciflow/trunk/169328 2025-12-04T09:17:24.5251138Z * [new tag] ciflow/trunk/169343 -> ciflow/trunk/169343 2025-12-04T09:17:24.5252457Z * [new tag] ciflow/trunk/169355 -> ciflow/trunk/169355 2025-12-04T09:17:24.5253838Z * [new tag] ciflow/trunk/169370 -> ciflow/trunk/169370 2025-12-04T09:17:24.5255326Z * [new tag] ciflow/trunk/169379 -> ciflow/trunk/169379 2025-12-04T09:17:24.5256727Z * [new tag] ciflow/trunk/169380 -> ciflow/trunk/169380 2025-12-04T09:17:24.5258054Z * [new tag] ciflow/trunk/169385 -> ciflow/trunk/169385 2025-12-04T09:17:24.5259401Z * [new tag] ciflow/trunk/169387 -> ciflow/trunk/169387 2025-12-04T09:17:24.5260919Z * [new tag] ciflow/trunk/169410 -> ciflow/trunk/169410 2025-12-04T09:17:24.5262289Z * [new tag] ciflow/trunk/169412 -> ciflow/trunk/169412 2025-12-04T09:17:24.5263611Z * [new tag] ciflow/trunk/169418 -> ciflow/trunk/169418 2025-12-04T09:17:24.5264937Z * [new tag] ciflow/trunk/169423 -> ciflow/trunk/169423 2025-12-04T09:17:24.5266300Z * [new tag] ciflow/trunk/169427 -> ciflow/trunk/169427 2025-12-04T09:17:24.5267681Z * [new tag] ciflow/trunk/169430 -> ciflow/trunk/169430 2025-12-04T09:17:24.5268998Z * [new tag] ciflow/trunk/169437 -> ciflow/trunk/169437 2025-12-04T09:17:24.5270369Z * [new tag] ciflow/trunk/169442 -> ciflow/trunk/169442 2025-12-04T09:17:24.5271717Z * [new tag] ciflow/trunk/169452 -> ciflow/trunk/169452 2025-12-04T09:17:24.5273187Z * [new tag] ciflow/trunk/169454 -> ciflow/trunk/169454 2025-12-04T09:17:24.5274515Z * [new tag] ciflow/trunk/169459 -> ciflow/trunk/169459 2025-12-04T09:17:24.5276444Z * [new tag] ciflow/trunk/169474 -> ciflow/trunk/169474 2025-12-04T09:17:24.5277815Z * [new tag] ciflow/trunk/169475 -> ciflow/trunk/169475 2025-12-04T09:17:24.5279365Z * [new tag] ciflow/trunk/169476 -> ciflow/trunk/169476 2025-12-04T09:17:24.5280892Z * [new tag] ciflow/trunk/169487 -> ciflow/trunk/169487 2025-12-04T09:17:24.5282369Z * [new tag] ciflow/trunk/169497 -> ciflow/trunk/169497 2025-12-04T09:17:24.5283593Z * [new tag] ciflow/trunk/169503 -> ciflow/trunk/169503 2025-12-04T09:17:24.5284944Z * [new tag] ciflow/trunk/169505 -> ciflow/trunk/169505 2025-12-04T09:17:24.5286257Z * [new tag] ciflow/trunk/169507 -> ciflow/trunk/169507 2025-12-04T09:17:24.5287726Z * [new tag] ciflow/trunk/169514 -> ciflow/trunk/169514 2025-12-04T09:17:24.5289484Z * [new tag] ciflow/trunk/169517 -> ciflow/trunk/169517 2025-12-04T09:17:24.5290748Z * [new tag] ciflow/trunk/169519 -> ciflow/trunk/169519 2025-12-04T09:17:24.5292090Z * [new tag] ciflow/trunk/169528 -> ciflow/trunk/169528 2025-12-04T09:17:24.5293480Z * [new tag] ciflow/trunk/169541 -> ciflow/trunk/169541 2025-12-04T09:17:24.5295048Z * [new tag] ciflow/trunk/169555 -> ciflow/trunk/169555 2025-12-04T09:17:24.5296860Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-12-04T09:17:24.5298483Z * [new tag] ciflow/vllm/165270 -> ciflow/vllm/165270 2025-12-04T09:17:24.5299775Z * [new tag] ciflow/vllm/165274 -> ciflow/vllm/165274 2025-12-04T09:17:24.5301118Z * [new tag] ciflow/vllm/166494 -> ciflow/vllm/166494 2025-12-04T09:17:24.5302423Z * [new tag] ciflow/vllm/169219 -> ciflow/vllm/169219 2025-12-04T09:17:24.5303703Z * [new tag] ciflow/vllm/169220 -> ciflow/vllm/169220 2025-12-04T09:17:24.5305288Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-12-04T09:17:24.5306547Z * [new tag] ciflow/xpu/159718 -> ciflow/xpu/159718 2025-12-04T09:17:24.5307844Z * [new tag] ciflow/xpu/161940 -> ciflow/xpu/161940 2025-12-04T09:17:24.5309249Z * [new tag] ciflow/xpu/163251 -> ciflow/xpu/163251 2025-12-04T09:17:24.5310518Z * [new tag] ciflow/xpu/166829 -> ciflow/xpu/166829 2025-12-04T09:17:24.5311814Z * [new tag] ciflow/xpu/166843 -> ciflow/xpu/166843 2025-12-04T09:17:24.5313078Z * [new tag] ciflow/xpu/167972 -> ciflow/xpu/167972 2025-12-04T09:17:24.5314398Z * [new tag] ciflow/xpu/167981 -> ciflow/xpu/167981 2025-12-04T09:17:24.5315684Z * [new tag] ciflow/xpu/168213 -> ciflow/xpu/168213 2025-12-04T09:17:24.5316955Z * [new tag] ciflow/xpu/168262 -> ciflow/xpu/168262 2025-12-04T09:17:24.5318279Z * [new tag] ciflow/xpu/168328 -> ciflow/xpu/168328 2025-12-04T09:17:24.5320049Z * [new tag] ciflow/xpu/168950 -> ciflow/xpu/168950 2025-12-04T09:17:24.5321993Z * [new tag] ciflow/xpu/169039 -> ciflow/xpu/169039 2025-12-04T09:17:24.5323639Z * [new tag] ciflow/xpu/169200 -> ciflow/xpu/169200 2025-12-04T09:17:24.5325015Z * [new tag] ciflow/xpu/169203 -> ciflow/xpu/169203 2025-12-04T09:17:24.5326924Z * [new tag] ciflow/xpu/169230 -> ciflow/xpu/169230 2025-12-04T09:17:24.5328280Z * [new tag] ciflow/xpu/169231 -> ciflow/xpu/169231 2025-12-04T09:17:24.5329881Z * [new tag] ciflow/xpu/169241 -> ciflow/xpu/169241 2025-12-04T09:17:24.5331250Z * [new tag] ciflow/xpu/169280 -> ciflow/xpu/169280 2025-12-04T09:17:24.5332633Z * [new tag] ciflow/xpu/169296 -> ciflow/xpu/169296 2025-12-04T09:17:24.5334131Z * [new tag] ciflow/xpu/169353 -> ciflow/xpu/169353 2025-12-04T09:17:24.5335497Z * [new tag] ciflow/xpu/169410 -> ciflow/xpu/169410 2025-12-04T09:17:24.5336889Z * [new tag] ciflow/xpu/169442 -> ciflow/xpu/169442 2025-12-04T09:17:24.5338303Z * [new tag] ciflow/xpu/169555 -> ciflow/xpu/169555 2025-12-04T09:17:24.5339682Z * [new tag] cslpull75 -> cslpull75 2025-12-04T09:17:24.5341002Z * [new tag] cslpull76 -> cslpull76 2025-12-04T09:17:24.5342326Z * [new tag] cslpull77 -> cslpull77 2025-12-04T09:17:24.5343815Z * [new tag] cslpull78 -> cslpull78 2025-12-04T09:17:24.5345368Z * [new tag] cslpull79 -> cslpull79 2025-12-04T09:17:24.5347014Z * [new tag] cslpull80 -> cslpull80 2025-12-04T09:17:24.5348479Z * [new tag] cslpull81 -> cslpull81 2025-12-04T09:17:24.5349942Z * [new tag] cslpull82 -> cslpull82 2025-12-04T09:17:24.5351369Z * [new tag] cslpull83 -> cslpull83 2025-12-04T09:17:24.5352764Z * [new tag] cslpull84 -> cslpull84 2025-12-04T09:17:24.5354167Z * [new tag] cslpull85 -> cslpull85 2025-12-04T09:17:24.5355628Z * [new tag] cslpull86 -> cslpull86 2025-12-04T09:17:24.5357055Z * [new tag] cslpull87 -> cslpull87 2025-12-04T09:17:24.5359112Z * [new tag] cslpull88 -> cslpull88 2025-12-04T09:17:24.5360539Z * [new tag] cslpull89 -> cslpull89 2025-12-04T09:17:24.5361756Z * [new tag] cslpull90 -> cslpull90 2025-12-04T09:17:24.5363588Z * [new tag] cslpull91 -> cslpull91 2025-12-04T09:17:24.5365013Z * [new tag] cslpull92 -> cslpull92 2025-12-04T09:17:24.5366500Z * [new tag] flight_5 -> flight_5 2025-12-04T09:17:24.5368309Z * [new tag] flight_5.1 -> flight_5.1 2025-12-04T09:17:24.5370014Z * [new tag] flight_5.2 -> flight_5.2 2025-12-04T09:17:24.5371228Z * [new tag] flight_5.3 -> flight_5.3 2025-12-04T09:17:24.5372678Z * [new tag] forpull1 -> forpull1 2025-12-04T09:17:24.5374385Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-12-04T09:17:24.5375936Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-12-04T09:17:24.5377384Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-12-04T09:17:24.5378919Z * [new tag] nightly-binary -> nightly-binary 2025-12-04T09:17:24.5380340Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-12-04T09:17:24.5381909Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-12-04T09:17:24.5383785Z * [new tag] trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 -> trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 2025-12-04T09:17:24.5385267Z * [new tag] trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e -> trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e 2025-12-04T09:17:24.5387072Z * [new tag] trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 -> trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 2025-12-04T09:17:24.5389011Z * [new tag] trunk/07dcc0b83db3211653a38565a24e15acdba75654 -> trunk/07dcc0b83db3211653a38565a24e15acdba75654 2025-12-04T09:17:24.5390781Z * [new tag] trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb -> trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb 2025-12-04T09:17:24.5391865Z * [new tag] trunk/088048f2fea28ff7d450f65c72419ca45780d30b -> trunk/088048f2fea28ff7d450f65c72419ca45780d30b 2025-12-04T09:17:24.5393529Z * [new tag] trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 -> trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 2025-12-04T09:17:24.5395009Z * [new tag] trunk/0b80a4c62b94402844bf221791c096b0035c6d75 -> trunk/0b80a4c62b94402844bf221791c096b0035c6d75 2025-12-04T09:17:24.5396772Z * [new tag] trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 -> trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 2025-12-04T09:17:24.5398481Z * [new tag] trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 -> trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 2025-12-04T09:17:24.5399761Z * [new tag] trunk/135f3753c418a6879b1954904184937b67e61688 -> trunk/135f3753c418a6879b1954904184937b67e61688 2025-12-04T09:17:24.5401411Z * [new tag] trunk/15da21026cb13cd20257dc9e96830db108743c10 -> trunk/15da21026cb13cd20257dc9e96830db108743c10 2025-12-04T09:17:24.5402684Z * [new tag] trunk/166efdad2ac827f30fb02504c6017520257f88ec -> trunk/166efdad2ac827f30fb02504c6017520257f88ec 2025-12-04T09:17:24.5404366Z * [new tag] trunk/174272c15fae553d8488140af931f7d8050a313f -> trunk/174272c15fae553d8488140af931f7d8050a313f 2025-12-04T09:17:24.5406049Z * [new tag] trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 -> trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 2025-12-04T09:17:24.5407505Z * [new tag] trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 -> trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 2025-12-04T09:17:24.5408936Z * [new tag] trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 -> trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 2025-12-04T09:17:24.5410380Z * [new tag] trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 -> trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 2025-12-04T09:17:24.5411817Z * [new tag] trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e -> trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e 2025-12-04T09:17:24.5413227Z * [new tag] trunk/1c87554d74140eaee964ca8b1832cede67f5f520 -> trunk/1c87554d74140eaee964ca8b1832cede67f5f520 2025-12-04T09:17:24.5414722Z * [new tag] trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 -> trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 2025-12-04T09:17:24.5416274Z * [new tag] trunk/1cee47d6ce0a02227185b566593f002dd639ca0c -> trunk/1cee47d6ce0a02227185b566593f002dd639ca0c 2025-12-04T09:17:24.5417371Z * [new tag] trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d -> trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d 2025-12-04T09:17:24.5419046Z * [new tag] trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 -> trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 2025-12-04T09:17:24.5420588Z * [new tag] trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de -> trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de 2025-12-04T09:17:24.5422024Z * [new tag] trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 -> trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 2025-12-04T09:17:24.5423649Z * [new tag] trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 -> trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 2025-12-04T09:17:24.5425159Z * [new tag] trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f -> trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f 2025-12-04T09:17:24.5426723Z * [new tag] trunk/285779b1621cf9f073a062b0889a642d200308d9 -> trunk/285779b1621cf9f073a062b0889a642d200308d9 2025-12-04T09:17:24.5427835Z * [new tag] trunk/2887faaec6295d081580d09fce161201826c6d87 -> trunk/2887faaec6295d081580d09fce161201826c6d87 2025-12-04T09:17:24.5429495Z * [new tag] trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc -> trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc 2025-12-04T09:17:24.5431087Z * [new tag] trunk/29856679769b3dede478767e2fe6cfb51197cb25 -> trunk/29856679769b3dede478767e2fe6cfb51197cb25 2025-12-04T09:17:24.5432611Z * [new tag] trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 -> trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 2025-12-04T09:17:24.5434097Z * [new tag] trunk/2ac3ef882afb23136adc188975f0a8802fc68adf -> trunk/2ac3ef882afb23136adc188975f0a8802fc68adf 2025-12-04T09:17:24.5435186Z * [new tag] trunk/2bec68e73b64715354af076ad309335f943e36cd -> trunk/2bec68e73b64715354af076ad309335f943e36cd 2025-12-04T09:17:24.5436827Z * [new tag] trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 -> trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 2025-12-04T09:17:24.5438489Z * [new tag] trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 -> trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 2025-12-04T09:17:24.5440073Z * [new tag] trunk/2df6058f116a65722a0e03073402feb242572d35 -> trunk/2df6058f116a65722a0e03073402feb242572d35 2025-12-04T09:17:24.5441453Z * [new tag] trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec -> trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec 2025-12-04T09:17:24.5443595Z * [new tag] trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 -> trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 2025-12-04T09:17:24.5445105Z * [new tag] trunk/305168768a95d69c444df5cd334bb774edfe06f1 -> trunk/305168768a95d69c444df5cd334bb774edfe06f1 2025-12-04T09:17:24.5446566Z * [new tag] trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 -> trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 2025-12-04T09:17:24.5448079Z * [new tag] trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 -> trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 2025-12-04T09:17:24.5449519Z * [new tag] trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 -> trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 2025-12-04T09:17:24.5450963Z * [new tag] trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf -> trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf 2025-12-04T09:17:24.5452438Z * [new tag] trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee -> trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee 2025-12-04T09:17:24.5454012Z * [new tag] trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 -> trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 2025-12-04T09:17:24.5455084Z * [new tag] trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 -> trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 2025-12-04T09:17:24.5456783Z * [new tag] trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae -> trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae 2025-12-04T09:17:24.5458306Z * [new tag] trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f -> trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f 2025-12-04T09:17:24.5459755Z * [new tag] trunk/42e9005cda22da3f1c559c3649218cebd671027c -> trunk/42e9005cda22da3f1c559c3649218cebd671027c 2025-12-04T09:17:24.5461220Z * [new tag] trunk/43b94713bbf340d3c124fde02d0f73add4021247 -> trunk/43b94713bbf340d3c124fde02d0f73add4021247 2025-12-04T09:17:24.5462673Z * [new tag] trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c -> trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c 2025-12-04T09:17:24.5464165Z * [new tag] trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a -> trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a 2025-12-04T09:17:24.5465426Z * [new tag] trunk/45d310ad84854dff730c0b12e577d7998d978686 -> trunk/45d310ad84854dff730c0b12e577d7998d978686 2025-12-04T09:17:24.5467261Z * [new tag] trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 -> trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 2025-12-04T09:17:24.5468367Z * [new tag] trunk/481e5ab336275bd3acd5fa8a611b05b4469012af -> trunk/481e5ab336275bd3acd5fa8a611b05b4469012af 2025-12-04T09:17:24.5470135Z * [new tag] trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 -> trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 2025-12-04T09:17:24.5471721Z * [new tag] trunk/49a04d26088acc17d948ddd66920f3e16371e873 -> trunk/49a04d26088acc17d948ddd66920f3e16371e873 2025-12-04T09:17:24.5473233Z * [new tag] trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 -> trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 2025-12-04T09:17:24.5474323Z * [new tag] trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f -> trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f 2025-12-04T09:17:24.5476114Z * [new tag] trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa -> trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa 2025-12-04T09:17:24.5477728Z * [new tag] trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c -> trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c 2025-12-04T09:17:24.5479802Z * [new tag] trunk/4fefb8e7e942386ffac764a41b232241f82bea3a -> trunk/4fefb8e7e942386ffac764a41b232241f82bea3a 2025-12-04T09:17:24.5481272Z * [new tag] trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d -> trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d 2025-12-04T09:17:24.5482786Z * [new tag] trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 -> trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 2025-12-04T09:17:24.5484284Z * [new tag] trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 -> trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 2025-12-04T09:17:24.5485883Z * [new tag] trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a -> trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a 2025-12-04T09:17:24.5487390Z * [new tag] trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 -> trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 2025-12-04T09:17:24.5488979Z * [new tag] trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 -> trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 2025-12-04T09:17:24.5492176Z * [new tag] trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 -> trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 2025-12-04T09:17:24.5493685Z * [new tag] trunk/5634469fda9e5d98869c82c7d03bb08914245f96 -> trunk/5634469fda9e5d98869c82c7d03bb08914245f96 2025-12-04T09:17:24.5495079Z * [new tag] trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc -> trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc 2025-12-04T09:17:24.5496605Z * [new tag] trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 -> trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 2025-12-04T09:17:24.5498085Z * [new tag] trunk/597930f6b568852356ca9795dac76f9e4653adbd -> trunk/597930f6b568852356ca9795dac76f9e4653adbd 2025-12-04T09:17:24.5499363Z * [new tag] trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 -> trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 2025-12-04T09:17:24.5501137Z * [new tag] trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 -> trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 2025-12-04T09:17:24.5502604Z * [new tag] trunk/5a607febc04c3a2b5824c75f3f60307867439a2c -> trunk/5a607febc04c3a2b5824c75f3f60307867439a2c 2025-12-04T09:17:24.5504158Z * [new tag] trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b -> trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b 2025-12-04T09:17:24.5505257Z * [new tag] trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c -> trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c 2025-12-04T09:17:24.5506977Z * [new tag] trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 -> trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 2025-12-04T09:17:24.5508548Z * [new tag] trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 -> trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 2025-12-04T09:17:24.5510162Z * [new tag] trunk/61be54a31dc09b59d99b62176fb935aee0b924ef -> trunk/61be54a31dc09b59d99b62176fb935aee0b924ef 2025-12-04T09:17:24.5511634Z * [new tag] trunk/62d3ccd71484ed6a760d909b41487101bbc65719 -> trunk/62d3ccd71484ed6a760d909b41487101bbc65719 2025-12-04T09:17:24.5513127Z * [new tag] trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b -> trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b 2025-12-04T09:17:24.5514705Z * [new tag] trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a -> trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a 2025-12-04T09:17:24.5516235Z * [new tag] trunk/66004b993744b4106bf8afaba71f3c228a804206 -> trunk/66004b993744b4106bf8afaba71f3c228a804206 2025-12-04T09:17:24.5517755Z * [new tag] trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 -> trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 2025-12-04T09:17:24.5519331Z * [new tag] trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 -> trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 2025-12-04T09:17:24.5521066Z * [new tag] trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d -> trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d 2025-12-04T09:17:24.5522631Z * [new tag] trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b -> trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b 2025-12-04T09:17:24.5523829Z * [new tag] trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 -> trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 2025-12-04T09:17:24.5525443Z * [new tag] trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 -> trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 2025-12-04T09:17:24.5526977Z * [new tag] trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec -> trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec 2025-12-04T09:17:24.5528456Z * [new tag] trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 -> trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 2025-12-04T09:17:24.5530045Z * [new tag] trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d -> trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d 2025-12-04T09:17:24.5531628Z * [new tag] trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a -> trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a 2025-12-04T09:17:24.5533200Z * [new tag] trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e -> trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e 2025-12-04T09:17:24.5534710Z * [new tag] trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 -> trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 2025-12-04T09:17:24.5536151Z * [new tag] trunk/70d797a5fc109b20a517646fcaa819477cd0d485 -> trunk/70d797a5fc109b20a517646fcaa819477cd0d485 2025-12-04T09:17:24.5537644Z * [new tag] trunk/7348cb355ff0a6f79cd4871215aea72185748734 -> trunk/7348cb355ff0a6f79cd4871215aea72185748734 2025-12-04T09:17:24.5539172Z * [new tag] trunk/74fe26a1ebe32931783569f2e762e3c2c974901f -> trunk/74fe26a1ebe32931783569f2e762e3c2c974901f 2025-12-04T09:17:24.5540703Z * [new tag] trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 -> trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 2025-12-04T09:17:24.5542540Z * [new tag] trunk/7716da9fb23f27a65b41f9f016a2afadf281c18f -> trunk/7716da9fb23f27a65b41f9f016a2afadf281c18f 2025-12-04T09:17:24.5544102Z * [new tag] trunk/7741edd4ed665f3988052e260863efb508d61a03 -> trunk/7741edd4ed665f3988052e260863efb508d61a03 2025-12-04T09:17:24.5545680Z * [new tag] trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 -> trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 2025-12-04T09:17:24.5547266Z * [new tag] trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 -> trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 2025-12-04T09:17:24.5548366Z * [new tag] trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 -> trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 2025-12-04T09:17:24.5550052Z * [new tag] trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca -> trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca 2025-12-04T09:17:24.5551580Z * [new tag] trunk/7b7af390ea8541c611d1ce2018a6934188fc197b -> trunk/7b7af390ea8541c611d1ce2018a6934188fc197b 2025-12-04T09:17:24.5553169Z * [new tag] trunk/7ba4680f3755a560af81aa0f688791e367aa3609 -> trunk/7ba4680f3755a560af81aa0f688791e367aa3609 2025-12-04T09:17:24.5554695Z * [new tag] trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b -> trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b 2025-12-04T09:17:24.5556006Z * [new tag] trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 2025-12-04T09:17:24.5557438Z * [new tag] trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 -> trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 2025-12-04T09:17:24.5559045Z * [new tag] trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed -> trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed 2025-12-04T09:17:24.5561540Z * [new tag] trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 -> trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 2025-12-04T09:17:24.5563121Z * [new tag] trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e -> trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e 2025-12-04T09:17:24.5564024Z * [new tag] trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead -> trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead 2025-12-04T09:17:24.5565517Z * [new tag] trunk/81af382128efa094d8702e18f2c133760904c718 -> trunk/81af382128efa094d8702e18f2c133760904c718 2025-12-04T09:17:24.5567226Z * [new tag] trunk/84149583d483e9c973c9a0feda70e4f3964947b0 -> trunk/84149583d483e9c973c9a0feda70e4f3964947b0 2025-12-04T09:17:24.5569027Z * [new tag] trunk/85a315917efe82c24306be805c584ec044951c75 -> trunk/85a315917efe82c24306be805c584ec044951c75 2025-12-04T09:17:24.5570539Z * [new tag] trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece -> trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece 2025-12-04T09:17:24.5572032Z * [new tag] trunk/892640e25aeefa8007c5af837214b4502b6b62a6 -> trunk/892640e25aeefa8007c5af837214b4502b6b62a6 2025-12-04T09:17:24.5573671Z * [new tag] trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 -> trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 2025-12-04T09:17:24.5575151Z * [new tag] trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c -> trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c 2025-12-04T09:17:24.5576697Z * [new tag] trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 -> trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 2025-12-04T09:17:24.5578259Z * [new tag] trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 -> trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 2025-12-04T09:17:24.5579828Z * [new tag] trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca -> trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca 2025-12-04T09:17:24.5581388Z * [new tag] trunk/90b27e7e8352cde97d32ddad24740ef819633f38 -> trunk/90b27e7e8352cde97d32ddad24740ef819633f38 2025-12-04T09:17:24.5582772Z * [new tag] trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 -> trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 2025-12-04T09:17:24.5584190Z * [new tag] trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c -> trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c 2025-12-04T09:17:24.5585763Z * [new tag] trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 -> trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 2025-12-04T09:17:24.5587244Z * [new tag] trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 -> trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 2025-12-04T09:17:24.5588865Z * [new tag] trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa -> trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa 2025-12-04T09:17:24.5590657Z * [new tag] trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d -> trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d 2025-12-04T09:17:24.5592191Z * [new tag] trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 -> trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 2025-12-04T09:17:24.5593687Z * [new tag] trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 -> trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 2025-12-04T09:17:24.5595239Z * [new tag] trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d -> trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d 2025-12-04T09:17:24.5596731Z * [new tag] trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a -> trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a 2025-12-04T09:17:24.5598338Z * [new tag] trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 -> trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 2025-12-04T09:17:24.5600010Z * [new tag] trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 -> trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 2025-12-04T09:17:24.5601513Z * [new tag] trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa -> trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa 2025-12-04T09:17:24.5603335Z * [new tag] trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d -> trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d 2025-12-04T09:17:24.5604902Z * [new tag] trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c -> trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c 2025-12-04T09:17:24.5606468Z * [new tag] trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 -> trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 2025-12-04T09:17:24.5607992Z * [new tag] trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c -> trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c 2025-12-04T09:17:24.5609377Z * [new tag] trunk/a7dc6dab9ad911259d4801c502907e531594db45 -> trunk/a7dc6dab9ad911259d4801c502907e531594db45 2025-12-04T09:17:24.5611053Z * [new tag] trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 -> trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 2025-12-04T09:17:24.5612603Z * [new tag] trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e -> trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e 2025-12-04T09:17:24.5614135Z * [new tag] trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e -> trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e 2025-12-04T09:17:24.5615569Z * [new tag] trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e -> trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e 2025-12-04T09:17:24.5616864Z * [new tag] trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 -> trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 2025-12-04T09:17:24.5618597Z * [new tag] trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 -> trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 2025-12-04T09:17:24.5620163Z * [new tag] trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 -> trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 2025-12-04T09:17:24.5621802Z * [new tag] trunk/b39813b4a04931682b0491adba2138d01d716d99 -> trunk/b39813b4a04931682b0491adba2138d01d716d99 2025-12-04T09:17:24.5623409Z * [new tag] trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 -> trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 2025-12-04T09:17:24.5625026Z * [new tag] trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 -> trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 2025-12-04T09:17:24.5626719Z * [new tag] trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a -> trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a 2025-12-04T09:17:24.5628301Z * [new tag] trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 -> trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 2025-12-04T09:17:24.5629868Z * [new tag] trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 -> trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 2025-12-04T09:17:24.5631463Z * [new tag] trunk/b7d60685f8cbc939b68a20871e90db67e729329b -> trunk/b7d60685f8cbc939b68a20871e90db67e729329b 2025-12-04T09:17:24.5633041Z * [new tag] trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e -> trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e 2025-12-04T09:17:24.5634694Z * [new tag] trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf -> trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf 2025-12-04T09:17:24.5636171Z * [new tag] trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 -> trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 2025-12-04T09:17:24.5637835Z * [new tag] trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f -> trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f 2025-12-04T09:17:24.5639585Z * [new tag] trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f -> trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f 2025-12-04T09:17:24.5641155Z * [new tag] trunk/bb3034198b459401fabeab254e1b99f0115046e2 -> trunk/bb3034198b459401fabeab254e1b99f0115046e2 2025-12-04T09:17:24.5643218Z * [new tag] trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 -> trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 2025-12-04T09:17:24.5644949Z * [new tag] trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 -> trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 2025-12-04T09:17:24.5646472Z * [new tag] trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 -> trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 2025-12-04T09:17:24.5648063Z * [new tag] trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 -> trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 2025-12-04T09:17:24.5649900Z * [new tag] trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 -> trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 2025-12-04T09:17:24.5651436Z * [new tag] trunk/c0660bcee27e7d7731634e274576a7081882bede -> trunk/c0660bcee27e7d7731634e274576a7081882bede 2025-12-04T09:17:24.5653026Z * [new tag] trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac -> trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac 2025-12-04T09:17:24.5654593Z * [new tag] trunk/c55b1e8f61d041ee436d697449eb028931d574fb -> trunk/c55b1e8f61d041ee436d697449eb028931d574fb 2025-12-04T09:17:24.5656035Z * [new tag] trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 -> trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 2025-12-04T09:17:24.5657806Z * [new tag] trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 -> trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 2025-12-04T09:17:24.5659414Z * [new tag] trunk/cc0853af42122f8185321f542616f4474e717f09 -> trunk/cc0853af42122f8185321f542616f4474e717f09 2025-12-04T09:17:24.5660844Z * [new tag] trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 -> trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 2025-12-04T09:17:24.5662473Z * [new tag] trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a -> trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a 2025-12-04T09:17:24.5664083Z * [new tag] trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace -> trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace 2025-12-04T09:17:24.5665569Z * [new tag] trunk/d16447dacaf2420ea175f0c275c75da951f57d39 -> trunk/d16447dacaf2420ea175f0c275c75da951f57d39 2025-12-04T09:17:24.5667126Z * [new tag] trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 -> trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 2025-12-04T09:17:24.5668666Z * [new tag] trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 -> trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 2025-12-04T09:17:24.5670334Z * [new tag] trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf -> trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf 2025-12-04T09:17:24.5671877Z * [new tag] trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 -> trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 2025-12-04T09:17:24.5673514Z * [new tag] trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d -> trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d 2025-12-04T09:17:24.5675069Z * [new tag] trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 -> trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 2025-12-04T09:17:24.5676621Z * [new tag] trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 -> trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 2025-12-04T09:17:24.5678226Z * [new tag] trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e -> trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e 2025-12-04T09:17:24.5679947Z * [new tag] trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a -> trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a 2025-12-04T09:17:24.5681468Z * [new tag] trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b -> trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b 2025-12-04T09:17:24.5683060Z * [new tag] trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec -> trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec 2025-12-04T09:17:24.5684646Z * [new tag] trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf -> trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf 2025-12-04T09:17:24.5686314Z * [new tag] trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd -> trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd 2025-12-04T09:17:24.5687788Z * [new tag] trunk/dd18a75336a4fbd7497955cc5665904724fce889 -> trunk/dd18a75336a4fbd7497955cc5665904724fce889 2025-12-04T09:17:24.5689578Z * [new tag] trunk/ded9bcd61a059bf723e6e84689552962b480ea77 -> trunk/ded9bcd61a059bf723e6e84689552962b480ea77 2025-12-04T09:17:24.5691560Z * [new tag] trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c -> trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c 2025-12-04T09:17:24.5693185Z * [new tag] trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b -> trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b 2025-12-04T09:17:24.5694626Z * [new tag] trunk/e3f24fd73ad74c6e7176687986436956c7c18235 -> trunk/e3f24fd73ad74c6e7176687986436956c7c18235 2025-12-04T09:17:24.5696179Z * [new tag] trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e -> trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e 2025-12-04T09:17:24.5697902Z * [new tag] trunk/ea7035f462a0d2830865ee86c832bd101e1427fc -> trunk/ea7035f462a0d2830865ee86c832bd101e1427fc 2025-12-04T09:17:24.5699476Z * [new tag] trunk/eabb7ad2128580ef674446027b95bcf4e21e8df3 -> trunk/eabb7ad2128580ef674446027b95bcf4e21e8df3 2025-12-04T09:17:24.5701064Z * [new tag] trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf -> trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf 2025-12-04T09:17:24.5702627Z * [new tag] trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e -> trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e 2025-12-04T09:17:24.5704211Z * [new tag] trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e -> trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e 2025-12-04T09:17:24.5706198Z * [new tag] trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 -> trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 2025-12-04T09:17:24.5707782Z * [new tag] trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 -> trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 2025-12-04T09:17:24.5709349Z * [new tag] trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 -> trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 2025-12-04T09:17:24.5710892Z * [new tag] trunk/f1076f5510920044912247b1abb8760cb820f598 -> trunk/f1076f5510920044912247b1abb8760cb820f598 2025-12-04T09:17:24.5712788Z * [new tag] trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 -> trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 2025-12-04T09:17:24.5713726Z * [new tag] trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 -> trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 2025-12-04T09:17:24.5715867Z * [new tag] trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 -> trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 2025-12-04T09:17:24.5717063Z * [new tag] trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 -> trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 2025-12-04T09:17:24.5718677Z * [new tag] trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 -> trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 2025-12-04T09:17:24.5720224Z * [new tag] trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 -> trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 2025-12-04T09:17:24.5721644Z * [new tag] trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 -> trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 2025-12-04T09:17:24.5723665Z * [new tag] trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b -> trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b 2025-12-04T09:17:24.5725042Z * [new tag] trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 -> trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 2025-12-04T09:17:24.5727769Z * [new tag] trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 -> trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 2025-12-04T09:17:24.5728710Z * [new tag] trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 -> trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 2025-12-04T09:17:24.5730392Z * [new tag] trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 -> trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:17:24.5731502Z * [new tag] v0.1.1 -> v0.1.1 2025-12-04T09:17:24.5733211Z * [new tag] v0.1.10 -> v0.1.10 2025-12-04T09:17:24.5734367Z * [new tag] v0.1.11 -> v0.1.11 2025-12-04T09:17:24.5736163Z * [new tag] v0.1.12 -> v0.1.12 2025-12-04T09:17:24.5737470Z * [new tag] v0.1.2 -> v0.1.2 2025-12-04T09:17:24.5739355Z * [new tag] v0.1.3 -> v0.1.3 2025-12-04T09:17:24.5740482Z * [new tag] v0.1.4 -> v0.1.4 2025-12-04T09:17:24.5742223Z * [new tag] v0.1.5 -> v0.1.5 2025-12-04T09:17:24.5743461Z * [new tag] v0.1.6 -> v0.1.6 2025-12-04T09:17:24.5744980Z * [new tag] v0.1.7 -> v0.1.7 2025-12-04T09:17:24.5746377Z * [new tag] v0.1.8 -> v0.1.8 2025-12-04T09:17:24.5747670Z * [new tag] v0.1.9 -> v0.1.9 2025-12-04T09:17:24.5749280Z * [new tag] v0.2.0 -> v0.2.0 2025-12-04T09:17:24.5750782Z * [new tag] v0.3.0 -> v0.3.0 2025-12-04T09:17:24.5752269Z * [new tag] v0.3.1 -> v0.3.1 2025-12-04T09:17:24.5753729Z * [new tag] v0.4.0 -> v0.4.0 2025-12-04T09:17:24.5755022Z * [new tag] v0.4.1 -> v0.4.1 2025-12-04T09:17:24.5756573Z * [new tag] v1.0.0 -> v1.0.0 2025-12-04T09:17:24.5758121Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-12-04T09:17:24.5759653Z * [new tag] v1.0.1 -> v1.0.1 2025-12-04T09:17:24.5761133Z * [new tag] v1.0rc0 -> v1.0rc0 2025-12-04T09:17:24.5762107Z * [new tag] v1.0rc1 -> v1.0rc1 2025-12-04T09:17:24.5763907Z * [new tag] v1.1.0 -> v1.1.0 2025-12-04T09:17:24.5765419Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-12-04T09:17:24.5767089Z * [new tag] v1.10.0 -> v1.10.0 2025-12-04T09:17:24.5768647Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-12-04T09:17:24.5770216Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-12-04T09:17:24.5771214Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-12-04T09:17:24.5773133Z * [new tag] v1.10.1 -> v1.10.1 2025-12-04T09:17:24.5774110Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-12-04T09:17:24.5775621Z * [new tag] v1.10.2 -> v1.10.2 2025-12-04T09:17:24.5776636Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-12-04T09:17:24.5778719Z * [new tag] v1.11.0 -> v1.11.0 2025-12-04T09:17:24.5779686Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-12-04T09:17:24.5781537Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-12-04T09:17:24.5783092Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-12-04T09:17:24.5784633Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-12-04T09:17:24.5786121Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-12-04T09:17:24.5787064Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-12-04T09:17:24.5788836Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-12-04T09:17:24.5790616Z * [new tag] v1.12.0 -> v1.12.0 2025-12-04T09:17:24.5791690Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-12-04T09:17:24.5793625Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-12-04T09:17:24.5795112Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-12-04T09:17:24.5796317Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-12-04T09:17:24.5798123Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-12-04T09:17:24.5799766Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-12-04T09:17:24.5800727Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-12-04T09:17:24.5802277Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-12-04T09:17:24.5803257Z * [new tag] v1.12.1 -> v1.12.1 2025-12-04T09:17:24.5804988Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-12-04T09:17:24.5806983Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-12-04T09:17:24.5808491Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-12-04T09:17:24.5810014Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-12-04T09:17:24.5811072Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-12-04T09:17:24.5812835Z * [new tag] v1.13.0 -> v1.13.0 2025-12-04T09:17:24.5814277Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-12-04T09:17:24.5815593Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-12-04T09:17:24.5817199Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-12-04T09:17:24.5818841Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-12-04T09:17:24.5819990Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-12-04T09:17:24.5821454Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-12-04T09:17:24.5822701Z * [new tag] v1.13.1 -> v1.13.1 2025-12-04T09:17:24.5824262Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-12-04T09:17:24.5825702Z * [new tag] v1.2.0 -> v1.2.0 2025-12-04T09:17:24.5827183Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-12-04T09:17:24.5828613Z * [new tag] v1.3.0 -> v1.3.0 2025-12-04T09:17:24.5830078Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-12-04T09:17:24.5831597Z * [new tag] v1.3.1 -> v1.3.1 2025-12-04T09:17:24.5833169Z * [new tag] v1.4.0 -> v1.4.0 2025-12-04T09:17:24.5834587Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-12-04T09:17:24.5835627Z * [new tag] v1.4.1 -> v1.4.1 2025-12-04T09:17:24.5837378Z * [new tag] v1.5.0 -> v1.5.0 2025-12-04T09:17:24.5839001Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-12-04T09:17:24.5840535Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-12-04T09:17:24.5842390Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-12-04T09:17:24.5843891Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-12-04T09:17:24.5844936Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-12-04T09:17:24.5846678Z * [new tag] v1.5.1 -> v1.5.1 2025-12-04T09:17:24.5847709Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-12-04T09:17:24.5849217Z * [new tag] v1.6.0 -> v1.6.0 2025-12-04T09:17:24.5850718Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-12-04T09:17:24.5852441Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-12-04T09:17:24.5853762Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-12-04T09:17:24.5855288Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-12-04T09:17:24.5856575Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-12-04T09:17:24.5858273Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-12-04T09:17:24.5859283Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-12-04T09:17:24.5861053Z * [new tag] v1.7.0 -> v1.7.0 2025-12-04T09:17:24.5862604Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-12-04T09:17:24.5864184Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-12-04T09:17:24.5865703Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-12-04T09:17:24.5866830Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-12-04T09:17:24.5868564Z * [new tag] v1.7.1 -> v1.7.1 2025-12-04T09:17:24.5870184Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-12-04T09:17:24.5871733Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-12-04T09:17:24.5872774Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-12-04T09:17:24.5874537Z * [new tag] v1.8.0 -> v1.8.0 2025-12-04T09:17:24.5875630Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-12-04T09:17:24.5877357Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-12-04T09:17:24.5878935Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-12-04T09:17:24.5880256Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-12-04T09:17:24.5881605Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-12-04T09:17:24.5882693Z * [new tag] v1.8.1 -> v1.8.1 2025-12-04T09:17:24.5884490Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-12-04T09:17:24.5885525Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-12-04T09:17:24.5887007Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-12-04T09:17:24.5889823Z * [new tag] v1.8.2 -> v1.8.2 2025-12-04T09:17:24.5891509Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-12-04T09:17:24.5893028Z * [new tag] v1.9.0 -> v1.9.0 2025-12-04T09:17:24.5894518Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-12-04T09:17:24.5896052Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-12-04T09:17:24.5897537Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-12-04T09:17:24.5898584Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-12-04T09:17:24.5900303Z * [new tag] v1.9.1 -> v1.9.1 2025-12-04T09:17:24.5902449Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-12-04T09:17:24.5903449Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-12-04T09:17:24.5905202Z * [new tag] v2.0.0 -> v2.0.0 2025-12-04T09:17:24.5906496Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-12-04T09:17:24.5908107Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-12-04T09:17:24.5909601Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-12-04T09:17:24.5911063Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-12-04T09:17:24.5912601Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-12-04T09:17:24.5913741Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-12-04T09:17:24.5915429Z * [new tag] v2.0.1 -> v2.0.1 2025-12-04T09:17:24.5916936Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-12-04T09:17:24.5918070Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-12-04T09:17:24.5919825Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-12-04T09:17:24.5920788Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-12-04T09:17:24.5923009Z * [new tag] v2.1.0 -> v2.1.0 2025-12-04T09:17:24.5924431Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-12-04T09:17:24.5925987Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-12-04T09:17:24.5927507Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-12-04T09:17:24.5929011Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-12-04T09:17:24.5930522Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-12-04T09:17:24.5931546Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-12-04T09:17:24.5933398Z * [new tag] v2.1.1 -> v2.1.1 2025-12-04T09:17:24.5934965Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-12-04T09:17:24.5936449Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-12-04T09:17:24.5938047Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-12-04T09:17:24.5939574Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-12-04T09:17:24.5940878Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-12-04T09:17:24.5942284Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-12-04T09:17:24.5943759Z * [new tag] v2.1.2 -> v2.1.2 2025-12-04T09:17:24.5945290Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-12-04T09:17:24.5946818Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-12-04T09:17:24.5947841Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-12-04T09:17:24.5957217Z * [new tag] v2.2.0 -> v2.2.0 2025-12-04T09:17:24.5957660Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-12-04T09:17:24.5958115Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-12-04T09:17:24.5958483Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-12-04T09:17:24.5958858Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-12-04T09:17:24.5959228Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-12-04T09:17:24.5959607Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-12-04T09:17:24.5959985Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-12-04T09:17:24.5960568Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-12-04T09:17:24.5962404Z * [new tag] v2.2.1 -> v2.2.1 2025-12-04T09:17:24.5963909Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-12-04T09:17:24.5964978Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-12-04T09:17:24.5966388Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-12-04T09:17:24.5967445Z * [new tag] v2.2.2 -> v2.2.2 2025-12-04T09:17:24.5969296Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-12-04T09:17:24.5970378Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-12-04T09:17:24.5971784Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-12-04T09:17:24.5973463Z * [new tag] v2.3.0 -> v2.3.0 2025-12-04T09:17:24.5974856Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-12-04T09:17:24.5976403Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-12-04T09:17:24.5977890Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-12-04T09:17:24.5978957Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-12-04T09:17:24.5980626Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-12-04T09:17:24.5982154Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-12-04T09:17:24.5983633Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-12-04T09:17:24.5985085Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-12-04T09:17:24.5986473Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-12-04T09:17:24.5988011Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-12-04T09:17:24.5989651Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-12-04T09:17:24.5990707Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-12-04T09:17:24.5992115Z * [new tag] v2.3.1 -> v2.3.1 2025-12-04T09:17:24.5993678Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-12-04T09:17:24.5995546Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-12-04T09:17:24.5997089Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-12-04T09:17:24.5998649Z * [new tag] v2.4.0 -> v2.4.0 2025-12-04T09:17:24.6000153Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-12-04T09:17:24.6001564Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-12-04T09:17:24.6003059Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-12-04T09:17:24.6004469Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-12-04T09:17:24.6006008Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-12-04T09:17:24.6007462Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-12-04T09:17:24.6009475Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-12-04T09:17:24.6010324Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-12-04T09:17:24.6012039Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-12-04T09:17:24.6013093Z * [new tag] v2.4.1 -> v2.4.1 2025-12-04T09:17:24.6014826Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-12-04T09:17:24.6016273Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-12-04T09:17:24.6017860Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-12-04T09:17:24.6019296Z * [new tag] v2.5.0 -> v2.5.0 2025-12-04T09:17:24.6020719Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-12-04T09:17:24.6021806Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-12-04T09:17:24.6023475Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-12-04T09:17:24.6024883Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-12-04T09:17:24.6026357Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-12-04T09:17:24.6027858Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-12-04T09:17:24.6029427Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-12-04T09:17:24.6030843Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-12-04T09:17:24.6032368Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-12-04T09:17:24.6033980Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-12-04T09:17:24.6034951Z * [new tag] v2.5.1 -> v2.5.1 2025-12-04T09:17:24.6036327Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-12-04T09:17:24.6037388Z * [new tag] v2.6.0 -> v2.6.0 2025-12-04T09:17:24.6039234Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-12-04T09:17:24.6040727Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-12-04T09:17:24.6042279Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-12-04T09:17:24.6043629Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-12-04T09:17:24.6045312Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-12-04T09:17:24.6046932Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-12-04T09:17:24.6048379Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-12-04T09:17:24.6050087Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-12-04T09:17:24.6051564Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-12-04T09:17:24.6053298Z * [new tag] v2.7.0 -> v2.7.0 2025-12-04T09:17:24.6054727Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-12-04T09:17:24.6056128Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-12-04T09:17:24.6057741Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-12-04T09:17:24.6059303Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-12-04T09:17:24.6060748Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-12-04T09:17:24.6062248Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-12-04T09:17:24.6063712Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-12-04T09:17:24.6065192Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-12-04T09:17:24.6066693Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-12-04T09:17:24.6068210Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-12-04T09:17:24.6069274Z * [new tag] v2.7.1 -> v2.7.1 2025-12-04T09:17:24.6071297Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-12-04T09:17:24.6072366Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-12-04T09:17:24.6074151Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-12-04T09:17:24.6075764Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-12-04T09:17:24.6077338Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-12-04T09:17:24.6078420Z * [new tag] v2.8.0 -> v2.8.0 2025-12-04T09:17:24.6080138Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-12-04T09:17:24.6081694Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-12-04T09:17:24.6083373Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-12-04T09:17:24.6084851Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-12-04T09:17:24.6086401Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-12-04T09:17:24.6087949Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-12-04T09:17:24.6089828Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-12-04T09:17:24.6091743Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-12-04T09:17:24.6093368Z * [new tag] v2.9.0 -> v2.9.0 2025-12-04T09:17:24.6094836Z * [new tag] v2.9.0-rc1 -> v2.9.0-rc1 2025-12-04T09:17:24.6096541Z * [new tag] v2.9.0-rc10 -> v2.9.0-rc10 2025-12-04T09:17:24.6097942Z * [new tag] v2.9.0-rc11 -> v2.9.0-rc11 2025-12-04T09:17:24.6099691Z * [new tag] v2.9.0-rc2 -> v2.9.0-rc2 2025-12-04T09:17:24.6101277Z * [new tag] v2.9.0-rc3 -> v2.9.0-rc3 2025-12-04T09:17:24.6102813Z * [new tag] v2.9.0-rc4 -> v2.9.0-rc4 2025-12-04T09:17:24.6104305Z * [new tag] v2.9.0-rc5 -> v2.9.0-rc5 2025-12-04T09:17:24.6106122Z * [new tag] v2.9.0-rc6 -> v2.9.0-rc6 2025-12-04T09:17:24.6107691Z * [new tag] v2.9.0-rc7 -> v2.9.0-rc7 2025-12-04T09:17:24.6109414Z * [new tag] v2.9.0-rc8 -> v2.9.0-rc8 2025-12-04T09:17:24.6110480Z * [new tag] v2.9.0-rc9 -> v2.9.0-rc9 2025-12-04T09:17:24.6111929Z * [new tag] v2.9.1 -> v2.9.1 2025-12-04T09:17:24.6113592Z * [new tag] v2.9.1-rc1 -> v2.9.1-rc1 2025-12-04T09:17:24.6115357Z * [new tag] v2.9.1-rc2 -> v2.9.1-rc2 2025-12-04T09:17:24.6117554Z * [new tag] viable/strict/1759343184 -> viable/strict/1759343184 2025-12-04T09:17:24.6119109Z * [new tag] viable/strict/1759346540 -> viable/strict/1759346540 2025-12-04T09:17:24.6120315Z * [new tag] viable/strict/1759348181 -> viable/strict/1759348181 2025-12-04T09:17:24.6121964Z * [new tag] viable/strict/1759350324 -> viable/strict/1759350324 2025-12-04T09:17:24.6123144Z * [new tag] viable/strict/1759351793 -> viable/strict/1759351793 2025-12-04T09:17:24.6124718Z * [new tag] viable/strict/1759353844 -> viable/strict/1759353844 2025-12-04T09:17:24.6126182Z * [new tag] viable/strict/1759355374 -> viable/strict/1759355374 2025-12-04T09:17:24.6127595Z * [new tag] viable/strict/1759357472 -> viable/strict/1759357472 2025-12-04T09:17:24.6128794Z * [new tag] viable/strict/1759361002 -> viable/strict/1759361002 2025-12-04T09:17:24.6130828Z * [new tag] viable/strict/1759362585 -> viable/strict/1759362585 2025-12-04T09:17:24.6132636Z * [new tag] viable/strict/1759365359 -> viable/strict/1759365359 2025-12-04T09:17:24.6134441Z * [new tag] viable/strict/1759370089 -> viable/strict/1759370089 2025-12-04T09:17:24.6135522Z * [new tag] viable/strict/1759377554 -> viable/strict/1759377554 2025-12-04T09:17:24.6137206Z * [new tag] viable/strict/1759379133 -> viable/strict/1759379133 2025-12-04T09:17:24.6138682Z * [new tag] viable/strict/1759389871 -> viable/strict/1759389871 2025-12-04T09:17:24.6140696Z * [new tag] viable/strict/1759393562 -> viable/strict/1759393562 2025-12-04T09:17:24.6142214Z * [new tag] viable/strict/1759395076 -> viable/strict/1759395076 2025-12-04T09:17:24.6143972Z * [new tag] viable/strict/1759398579 -> viable/strict/1759398579 2025-12-04T09:17:24.6145048Z * [new tag] viable/strict/1759404142 -> viable/strict/1759404142 2025-12-04T09:17:24.6146690Z * [new tag] viable/strict/1759405773 -> viable/strict/1759405773 2025-12-04T09:17:24.6148165Z * [new tag] viable/strict/1759408041 -> viable/strict/1759408041 2025-12-04T09:17:24.6149647Z * [new tag] viable/strict/1759411593 -> viable/strict/1759411593 2025-12-04T09:17:24.6151118Z * [new tag] viable/strict/1759427395 -> viable/strict/1759427395 2025-12-04T09:17:24.6152720Z * [new tag] viable/strict/1759434582 -> viable/strict/1759434582 2025-12-04T09:17:24.6154242Z * [new tag] viable/strict/1759436720 -> viable/strict/1759436720 2025-12-04T09:17:24.6155825Z * [new tag] viable/strict/1759440219 -> viable/strict/1759440219 2025-12-04T09:17:24.6157273Z * [new tag] viable/strict/1759441948 -> viable/strict/1759441948 2025-12-04T09:17:24.6158787Z * [new tag] viable/strict/1759443860 -> viable/strict/1759443860 2025-12-04T09:17:24.6160085Z * [new tag] viable/strict/1759445377 -> viable/strict/1759445377 2025-12-04T09:17:24.6161824Z * [new tag] viable/strict/1759447415 -> viable/strict/1759447415 2025-12-04T09:17:24.6163280Z * [new tag] viable/strict/1759451750 -> viable/strict/1759451750 2025-12-04T09:17:24.6164828Z * [new tag] viable/strict/1759453910 -> viable/strict/1759453910 2025-12-04T09:17:24.6166340Z * [new tag] viable/strict/1759456483 -> viable/strict/1759456483 2025-12-04T09:17:24.6167885Z * [new tag] viable/strict/1759459279 -> viable/strict/1759459279 2025-12-04T09:17:24.6169406Z * [new tag] viable/strict/1759460742 -> viable/strict/1759460742 2025-12-04T09:17:24.6170899Z * [new tag] viable/strict/1759462025 -> viable/strict/1759462025 2025-12-04T09:17:24.6172414Z * [new tag] viable/strict/1759469086 -> viable/strict/1759469086 2025-12-04T09:17:24.6173875Z * [new tag] viable/strict/1759470581 -> viable/strict/1759470581 2025-12-04T09:17:24.6175369Z * [new tag] viable/strict/1759472786 -> viable/strict/1759472786 2025-12-04T09:17:24.6176882Z * [new tag] viable/strict/1759476294 -> viable/strict/1759476294 2025-12-04T09:17:24.6178624Z * [new tag] viable/strict/1759479963 -> viable/strict/1759479963 2025-12-04T09:17:24.6179630Z * [new tag] viable/strict/1759492177 -> viable/strict/1759492177 2025-12-04T09:17:24.6181299Z * [new tag] viable/strict/1759519278 -> viable/strict/1759519278 2025-12-04T09:17:24.6182782Z * [new tag] viable/strict/1759524580 -> viable/strict/1759524580 2025-12-04T09:17:24.6184271Z * [new tag] viable/strict/1759528193 -> viable/strict/1759528193 2025-12-04T09:17:24.6185997Z * [new tag] viable/strict/1759533797 -> viable/strict/1759533797 2025-12-04T09:17:24.6187481Z * [new tag] viable/strict/1759542780 -> viable/strict/1759542780 2025-12-04T09:17:24.6189566Z * [new tag] viable/strict/1759549779 -> viable/strict/1759549779 2025-12-04T09:17:24.6191231Z * [new tag] viable/strict/1759555455 -> viable/strict/1759555455 2025-12-04T09:17:24.6193486Z * [new tag] viable/strict/1759559176 -> viable/strict/1759559176 2025-12-04T09:17:24.6195283Z * [new tag] viable/strict/1759560629 -> viable/strict/1759560629 2025-12-04T09:17:24.6197030Z * [new tag] viable/strict/1759569848 -> viable/strict/1759569848 2025-12-04T09:17:24.6199083Z * [new tag] viable/strict/1759571382 -> viable/strict/1759571382 2025-12-04T09:17:24.6200924Z * [new tag] viable/strict/1759573474 -> viable/strict/1759573474 2025-12-04T09:17:24.6202671Z * [new tag] viable/strict/1759618187 -> viable/strict/1759618187 2025-12-04T09:17:24.6204537Z * [new tag] viable/strict/1759626742 -> viable/strict/1759626742 2025-12-04T09:17:24.6206321Z * [new tag] viable/strict/1759632427 -> viable/strict/1759632427 2025-12-04T09:17:24.6207870Z * [new tag] viable/strict/1759634971 -> viable/strict/1759634971 2025-12-04T09:17:24.6209473Z * [new tag] viable/strict/1759661382 -> viable/strict/1759661382 2025-12-04T09:17:24.6210976Z * [new tag] viable/strict/1759663294 -> viable/strict/1759663294 2025-12-04T09:17:24.6212159Z * [new tag] viable/strict/1759708178 -> viable/strict/1759708178 2025-12-04T09:17:24.6214070Z * [new tag] viable/strict/1759715695 -> viable/strict/1759715695 2025-12-04T09:17:24.6215290Z * [new tag] viable/strict/1759728293 -> viable/strict/1759728293 2025-12-04T09:17:24.6216990Z * [new tag] viable/strict/1759735513 -> viable/strict/1759735513 2025-12-04T09:17:24.6218538Z * [new tag] viable/strict/1759739177 -> viable/strict/1759739177 2025-12-04T09:17:24.6220061Z * [new tag] viable/strict/1759758635 -> viable/strict/1759758635 2025-12-04T09:17:24.6221591Z * [new tag] viable/strict/1759765784 -> viable/strict/1759765784 2025-12-04T09:17:24.6223061Z * [new tag] viable/strict/1759767948 -> viable/strict/1759767948 2025-12-04T09:17:24.6224625Z * [new tag] viable/strict/1759771461 -> viable/strict/1759771461 2025-12-04T09:17:24.6225845Z * [new tag] viable/strict/1759776706 -> viable/strict/1759776706 2025-12-04T09:17:24.6227594Z * [new tag] viable/strict/1759782317 -> viable/strict/1759782317 2025-12-04T09:17:24.6229171Z * [new tag] viable/strict/1759783777 -> viable/strict/1759783777 2025-12-04T09:17:24.6230720Z * [new tag] viable/strict/1759785815 -> viable/strict/1759785815 2025-12-04T09:17:24.6232342Z * [new tag] viable/strict/1759789459 -> viable/strict/1759789459 2025-12-04T09:17:24.6233875Z * [new tag] viable/strict/1759790974 -> viable/strict/1759790974 2025-12-04T09:17:24.6235057Z * [new tag] viable/strict/1759794583 -> viable/strict/1759794583 2025-12-04T09:17:24.6236818Z * [new tag] viable/strict/1759797408 -> viable/strict/1759797408 2025-12-04T09:17:24.6238379Z * [new tag] viable/strict/1759799518 -> viable/strict/1759799518 2025-12-04T09:17:24.6239932Z * [new tag] viable/strict/1759804909 -> viable/strict/1759804909 2025-12-04T09:17:24.6241992Z * [new tag] viable/strict/1759807643 -> viable/strict/1759807643 2025-12-04T09:17:24.6243517Z * [new tag] viable/strict/1759809089 -> viable/strict/1759809089 2025-12-04T09:17:24.6245073Z * [new tag] viable/strict/1759811145 -> viable/strict/1759811145 2025-12-04T09:17:24.6246639Z * [new tag] viable/strict/1759812581 -> viable/strict/1759812581 2025-12-04T09:17:24.6248158Z * [new tag] viable/strict/1759814683 -> viable/strict/1759814683 2025-12-04T09:17:24.6249696Z * [new tag] viable/strict/1759821889 -> viable/strict/1759821889 2025-12-04T09:17:24.6251521Z * [new tag] viable/strict/1759823376 -> viable/strict/1759823376 2025-12-04T09:17:24.6252593Z * [new tag] viable/strict/1759827107 -> viable/strict/1759827107 2025-12-04T09:17:24.6254395Z * [new tag] viable/strict/1759830577 -> viable/strict/1759830577 2025-12-04T09:17:24.6255988Z * [new tag] viable/strict/1759832720 -> viable/strict/1759832720 2025-12-04T09:17:24.6257484Z * [new tag] viable/strict/1759842063 -> viable/strict/1759842063 2025-12-04T09:17:24.6258994Z * [new tag] viable/strict/1759847121 -> viable/strict/1759847121 2025-12-04T09:17:24.6260792Z * [new tag] viable/strict/1759850721 -> viable/strict/1759850721 2025-12-04T09:17:24.6262352Z * [new tag] viable/strict/1759857870 -> viable/strict/1759857870 2025-12-04T09:17:24.6263922Z * [new tag] viable/strict/1759863143 -> viable/strict/1759863143 2025-12-04T09:17:24.6265530Z * [new tag] viable/strict/1759875874 -> viable/strict/1759875874 2025-12-04T09:17:24.6266701Z * [new tag] viable/strict/1759877385 -> viable/strict/1759877385 2025-12-04T09:17:24.6268415Z * [new tag] viable/strict/1759883801 -> viable/strict/1759883801 2025-12-04T09:17:24.6270054Z * [new tag] viable/strict/1759885922 -> viable/strict/1759885922 2025-12-04T09:17:24.6271278Z * [new tag] viable/strict/1759888488 -> viable/strict/1759888488 2025-12-04T09:17:24.6272994Z * [new tag] viable/strict/1759895471 -> viable/strict/1759895471 2025-12-04T09:17:24.6274516Z * [new tag] viable/strict/1759904803 -> viable/strict/1759904803 2025-12-04T09:17:24.6276201Z * [new tag] viable/strict/1759908300 -> viable/strict/1759908300 2025-12-04T09:17:24.6277743Z * [new tag] viable/strict/1759915520 -> viable/strict/1759915520 2025-12-04T09:17:24.6279428Z * [new tag] viable/strict/1759916978 -> viable/strict/1759916978 2025-12-04T09:17:24.6280838Z * [new tag] viable/strict/1759930024 -> viable/strict/1759930024 2025-12-04T09:17:24.6282434Z * [new tag] viable/strict/1759948122 -> viable/strict/1759948122 2025-12-04T09:17:24.6284042Z * [new tag] viable/strict/1759952983 -> viable/strict/1759952983 2025-12-04T09:17:24.6285581Z * [new tag] viable/strict/1759955121 -> viable/strict/1759955121 2025-12-04T09:17:24.6287048Z * [new tag] viable/strict/1759962298 -> viable/strict/1759962298 2025-12-04T09:17:24.6288747Z * [new tag] viable/strict/1759965837 -> viable/strict/1759965837 2025-12-04T09:17:24.6293383Z * [new tag] viable/strict/1759970213 -> viable/strict/1759970213 2025-12-04T09:17:24.6294421Z * [new tag] viable/strict/1759974894 -> viable/strict/1759974894 2025-12-04T09:17:24.6296063Z * [new tag] viable/strict/1759977763 -> viable/strict/1759977763 2025-12-04T09:17:24.6297635Z * [new tag] viable/strict/1759979241 -> viable/strict/1759979241 2025-12-04T09:17:24.6299141Z * [new tag] viable/strict/1759985417 -> viable/strict/1759985417 2025-12-04T09:17:24.6300653Z * [new tag] viable/strict/1759987490 -> viable/strict/1759987490 2025-12-04T09:17:24.6302158Z * [new tag] viable/strict/1759996180 -> viable/strict/1759996180 2025-12-04T09:17:24.6303649Z * [new tag] viable/strict/1760065682 -> viable/strict/1760065682 2025-12-04T09:17:24.6305257Z * [new tag] viable/strict/1760066894 -> viable/strict/1760066894 2025-12-04T09:17:24.6306891Z * [new tag] viable/strict/1760070345 -> viable/strict/1760070345 2025-12-04T09:17:24.6308373Z * [new tag] viable/strict/1760089782 -> viable/strict/1760089782 2025-12-04T09:17:24.6309858Z * [new tag] viable/strict/1760091921 -> viable/strict/1760091921 2025-12-04T09:17:24.6311364Z * [new tag] viable/strict/1760127924 -> viable/strict/1760127924 2025-12-04T09:17:24.6312872Z * [new tag] viable/strict/1760129489 -> viable/strict/1760129489 2025-12-04T09:17:24.6314479Z * [new tag] viable/strict/1760132980 -> viable/strict/1760132980 2025-12-04T09:17:24.6316011Z * [new tag] viable/strict/1760135060 -> viable/strict/1760135060 2025-12-04T09:17:24.6317545Z * [new tag] viable/strict/1760215782 -> viable/strict/1760215782 2025-12-04T09:17:24.6319239Z * [new tag] viable/strict/1760273849 -> viable/strict/1760273849 2025-12-04T09:17:24.6320721Z * [new tag] viable/strict/1760275517 -> viable/strict/1760275517 2025-12-04T09:17:24.6322248Z * [new tag] viable/strict/1760276979 -> viable/strict/1760276979 2025-12-04T09:17:24.6323707Z * [new tag] viable/strict/1760279007 -> viable/strict/1760279007 2025-12-04T09:17:24.6324892Z * [new tag] viable/strict/1760286328 -> viable/strict/1760286328 2025-12-04T09:17:24.6326387Z * [new tag] viable/strict/1760493304 -> viable/strict/1760493304 2025-12-04T09:17:24.6328035Z * [new tag] viable/strict/1760496298 -> viable/strict/1760496298 2025-12-04T09:17:24.6329206Z * [new tag] viable/strict/1760518396 -> viable/strict/1760518396 2025-12-04T09:17:24.6330913Z * [new tag] viable/strict/1760534864 -> viable/strict/1760534864 2025-12-04T09:17:24.6332277Z * [new tag] viable/strict/1760549062 -> viable/strict/1760549062 2025-12-04T09:17:24.6334018Z * [new tag] viable/strict/1760552799 -> viable/strict/1760552799 2025-12-04T09:17:24.6335523Z * [new tag] viable/strict/1760554355 -> viable/strict/1760554355 2025-12-04T09:17:24.6337110Z * [new tag] viable/strict/1760556275 -> viable/strict/1760556275 2025-12-04T09:17:24.6338613Z * [new tag] viable/strict/1760564979 -> viable/strict/1760564979 2025-12-04T09:17:24.6340141Z * [new tag] viable/strict/1760567049 -> viable/strict/1760567049 2025-12-04T09:17:24.6342033Z * [new tag] viable/strict/1760568585 -> viable/strict/1760568585 2025-12-04T09:17:24.6343940Z * [new tag] viable/strict/1760570630 -> viable/strict/1760570630 2025-12-04T09:17:24.6345435Z * [new tag] viable/strict/1760572180 -> viable/strict/1760572180 2025-12-04T09:17:24.6347214Z * [new tag] viable/strict/1760575094 -> viable/strict/1760575094 2025-12-04T09:17:24.6348357Z * [new tag] viable/strict/1760579709 -> viable/strict/1760579709 2025-12-04T09:17:24.6350526Z * [new tag] viable/strict/1760582614 -> viable/strict/1760582614 2025-12-04T09:17:24.6352027Z * [new tag] viable/strict/1760586815 -> viable/strict/1760586815 2025-12-04T09:17:24.6353463Z * [new tag] viable/strict/1760588829 -> viable/strict/1760588829 2025-12-04T09:17:24.6354926Z * [new tag] viable/strict/1760590200 -> viable/strict/1760590200 2025-12-04T09:17:24.6356626Z * [new tag] viable/strict/1760592311 -> viable/strict/1760592311 2025-12-04T09:17:24.6358154Z * [new tag] viable/strict/1760619733 -> viable/strict/1760619733 2025-12-04T09:17:24.6359464Z * [new tag] viable/strict/1760628335 -> viable/strict/1760628335 2025-12-04T09:17:24.6361054Z * [new tag] viable/strict/1760635490 -> viable/strict/1760635490 2025-12-04T09:17:24.6362536Z * [new tag] viable/strict/1760640743 -> viable/strict/1760640743 2025-12-04T09:17:24.6364085Z * [new tag] viable/strict/1760642528 -> viable/strict/1760642528 2025-12-04T09:17:24.6365547Z * [new tag] viable/strict/1760646330 -> viable/strict/1760646330 2025-12-04T09:17:24.6367011Z * [new tag] viable/strict/1760666101 -> viable/strict/1760666101 2025-12-04T09:17:24.6368556Z * [new tag] viable/strict/1760668990 -> viable/strict/1760668990 2025-12-04T09:17:24.6370086Z * [new tag] viable/strict/1760670600 -> viable/strict/1760670600 2025-12-04T09:17:24.6371536Z * [new tag] viable/strict/1760671704 -> viable/strict/1760671704 2025-12-04T09:17:24.6373432Z * [new tag] viable/strict/1760673121 -> viable/strict/1760673121 2025-12-04T09:17:24.6374461Z * [new tag] viable/strict/1760675352 -> viable/strict/1760675352 2025-12-04T09:17:24.6376176Z * [new tag] viable/strict/1760696731 -> viable/strict/1760696731 2025-12-04T09:17:24.6379032Z * [new tag] viable/strict/1760723515 -> viable/strict/1760723515 2025-12-04T09:17:24.6380541Z * [new tag] viable/strict/1760727234 -> viable/strict/1760727234 2025-12-04T09:17:24.6382085Z * [new tag] viable/strict/1760730578 -> viable/strict/1760730578 2025-12-04T09:17:24.6383619Z * [new tag] viable/strict/1760732726 -> viable/strict/1760732726 2025-12-04T09:17:24.6385209Z * [new tag] viable/strict/1760734180 -> viable/strict/1760734180 2025-12-04T09:17:24.6386620Z * [new tag] viable/strict/1760736251 -> viable/strict/1760736251 2025-12-04T09:17:24.6388328Z * [new tag] viable/strict/1760737772 -> viable/strict/1760737772 2025-12-04T09:17:24.6389903Z * [new tag] viable/strict/1760758005 -> viable/strict/1760758005 2025-12-04T09:17:24.6391633Z * [new tag] viable/strict/1760761532 -> viable/strict/1760761532 2025-12-04T09:17:24.6392740Z * [new tag] viable/strict/1760802581 -> viable/strict/1760802581 2025-12-04T09:17:24.6394430Z * [new tag] viable/strict/1760827772 -> viable/strict/1760827772 2025-12-04T09:17:24.6395935Z * [new tag] viable/strict/1760834524 -> viable/strict/1760834524 2025-12-04T09:17:24.6397447Z * [new tag] viable/strict/1760845009 -> viable/strict/1760845009 2025-12-04T09:17:24.6399159Z * [new tag] viable/strict/1760876836 -> viable/strict/1760876836 2025-12-04T09:17:24.6400639Z * [new tag] viable/strict/1760880329 -> viable/strict/1760880329 2025-12-04T09:17:24.6402150Z * [new tag] viable/strict/1760888987 -> viable/strict/1760888987 2025-12-04T09:17:24.6403625Z * [new tag] viable/strict/1760912664 -> viable/strict/1760912664 2025-12-04T09:17:24.6405161Z * [new tag] viable/strict/1760925321 -> viable/strict/1760925321 2025-12-04T09:17:24.6406742Z * [new tag] viable/strict/1760931488 -> viable/strict/1760931488 2025-12-04T09:17:24.6408291Z * [new tag] viable/strict/1760932693 -> viable/strict/1760932693 2025-12-04T09:17:24.6409815Z * [new tag] viable/strict/1761004184 -> viable/strict/1761004184 2025-12-04T09:17:24.6411289Z * [new tag] viable/strict/1761014748 -> viable/strict/1761014748 2025-12-04T09:17:24.6412834Z * [new tag] viable/strict/1761017491 -> viable/strict/1761017491 2025-12-04T09:17:24.6414351Z * [new tag] viable/strict/1761018806 -> viable/strict/1761018806 2025-12-04T09:17:24.6415946Z * [new tag] viable/strict/1761020754 -> viable/strict/1761020754 2025-12-04T09:17:24.6417416Z * [new tag] viable/strict/1761024303 -> viable/strict/1761024303 2025-12-04T09:17:24.6418886Z * [new tag] viable/strict/1761029582 -> viable/strict/1761029582 2025-12-04T09:17:24.6420375Z * [new tag] viable/strict/1761031535 -> viable/strict/1761031535 2025-12-04T09:17:24.6421849Z * [new tag] viable/strict/1761035196 -> viable/strict/1761035196 2025-12-04T09:17:24.6423635Z * [new tag] viable/strict/1761045825 -> viable/strict/1761045825 2025-12-04T09:17:24.6425326Z * [new tag] viable/strict/1761054796 -> viable/strict/1761054796 2025-12-04T09:17:24.6426735Z * [new tag] viable/strict/1761060314 -> viable/strict/1761060314 2025-12-04T09:17:24.6428481Z * [new tag] viable/strict/1761071198 -> viable/strict/1761071198 2025-12-04T09:17:24.6429873Z * [new tag] viable/strict/1761074628 -> viable/strict/1761074628 2025-12-04T09:17:24.6431542Z * [new tag] viable/strict/1761078351 -> viable/strict/1761078351 2025-12-04T09:17:24.6432732Z * [new tag] viable/strict/1761079822 -> viable/strict/1761079822 2025-12-04T09:17:24.6434495Z * [new tag] viable/strict/1761081873 -> viable/strict/1761081873 2025-12-04T09:17:24.6436023Z * [new tag] viable/strict/1761083392 -> viable/strict/1761083392 2025-12-04T09:17:24.6437411Z * [new tag] viable/strict/1761085465 -> viable/strict/1761085465 2025-12-04T09:17:24.6439239Z * [new tag] viable/strict/1761089099 -> viable/strict/1761089099 2025-12-04T09:17:24.6440615Z * [new tag] viable/strict/1761095535 -> viable/strict/1761095535 2025-12-04T09:17:24.6442029Z * [new tag] viable/strict/1761098119 -> viable/strict/1761098119 2025-12-04T09:17:24.6444603Z * [new tag] viable/strict/1761101330 -> viable/strict/1761101330 2025-12-04T09:17:24.6445870Z * [new tag] viable/strict/1761114425 -> viable/strict/1761114425 2025-12-04T09:17:24.6447588Z * [new tag] viable/strict/1761116036 -> viable/strict/1761116036 2025-12-04T09:17:24.6449092Z * [new tag] viable/strict/1761119379 -> viable/strict/1761119379 2025-12-04T09:17:24.6450478Z * [new tag] viable/strict/1761121601 -> viable/strict/1761121601 2025-12-04T09:17:24.6452225Z * [new tag] viable/strict/1761123234 -> viable/strict/1761123234 2025-12-04T09:17:24.6453365Z * [new tag] viable/strict/1761126621 -> viable/strict/1761126621 2025-12-04T09:17:24.6455065Z * [new tag] viable/strict/1761132259 -> viable/strict/1761132259 2025-12-04T09:17:24.6456744Z * [new tag] viable/strict/1761146746 -> viable/strict/1761146746 2025-12-04T09:17:24.6458298Z * [new tag] viable/strict/1761164752 -> viable/strict/1761164752 2025-12-04T09:17:24.6459783Z * [new tag] viable/strict/1761166198 -> viable/strict/1761166198 2025-12-04T09:17:24.6461300Z * [new tag] viable/strict/1761175424 -> viable/strict/1761175424 2025-12-04T09:17:24.6462824Z * [new tag] viable/strict/1761176983 -> viable/strict/1761176983 2025-12-04T09:17:24.6464492Z * [new tag] viable/strict/1761179891 -> viable/strict/1761179891 2025-12-04T09:17:24.6466020Z * [new tag] viable/strict/1761181930 -> viable/strict/1761181930 2025-12-04T09:17:24.6467409Z * [new tag] viable/strict/1761184516 -> viable/strict/1761184516 2025-12-04T09:17:24.6469072Z * [new tag] viable/strict/1761190179 -> viable/strict/1761190179 2025-12-04T09:17:24.6470459Z * [new tag] viable/strict/1761193558 -> viable/strict/1761193558 2025-12-04T09:17:24.6472070Z * [new tag] viable/strict/1761207990 -> viable/strict/1761207990 2025-12-04T09:17:24.6473471Z * [new tag] viable/strict/1761229539 -> viable/strict/1761229539 2025-12-04T09:17:24.6475392Z * [new tag] viable/strict/1761244031 -> viable/strict/1761244031 2025-12-04T09:17:24.6476610Z * [new tag] viable/strict/1761248986 -> viable/strict/1761248986 2025-12-04T09:17:24.6478365Z * [new tag] viable/strict/1761259791 -> viable/strict/1761259791 2025-12-04T09:17:24.6479920Z * [new tag] viable/strict/1761266139 -> viable/strict/1761266139 2025-12-04T09:17:24.6481506Z * [new tag] viable/strict/1761268316 -> viable/strict/1761268316 2025-12-04T09:17:24.6482957Z * [new tag] viable/strict/1761273805 -> viable/strict/1761273805 2025-12-04T09:17:24.6484477Z * [new tag] viable/strict/1761275261 -> viable/strict/1761275261 2025-12-04T09:17:24.6486001Z * [new tag] viable/strict/1761277913 -> viable/strict/1761277913 2025-12-04T09:17:24.6487619Z * [new tag] viable/strict/1761290701 -> viable/strict/1761290701 2025-12-04T09:17:24.6489408Z * [new tag] viable/strict/1761294396 -> viable/strict/1761294396 2025-12-04T09:17:24.6490856Z * [new tag] viable/strict/1761303047 -> viable/strict/1761303047 2025-12-04T09:17:24.6492392Z * [new tag] viable/strict/1761335388 -> viable/strict/1761335388 2025-12-04T09:17:24.6493964Z * [new tag] viable/strict/1761337551 -> viable/strict/1761337551 2025-12-04T09:17:24.6495716Z * [new tag] viable/strict/1761339007 -> viable/strict/1761339007 2025-12-04T09:17:24.6496985Z * [new tag] viable/strict/1761341050 -> viable/strict/1761341050 2025-12-04T09:17:24.6498585Z * [new tag] viable/strict/1761346188 -> viable/strict/1761346188 2025-12-04T09:17:24.6500233Z * [new tag] viable/strict/1761349792 -> viable/strict/1761349792 2025-12-04T09:17:24.6501766Z * [new tag] viable/strict/1761352620 -> viable/strict/1761352620 2025-12-04T09:17:24.6503239Z * [new tag] viable/strict/1761354730 -> viable/strict/1761354730 2025-12-04T09:17:24.6504764Z * [new tag] viable/strict/1761357298 -> viable/strict/1761357298 2025-12-04T09:17:24.6506497Z * [new tag] viable/strict/1761360201 -> viable/strict/1761360201 2025-12-04T09:17:24.6508073Z * [new tag] viable/strict/1761361753 -> viable/strict/1761361753 2025-12-04T09:17:24.6509566Z * [new tag] viable/strict/1761364351 -> viable/strict/1761364351 2025-12-04T09:17:24.6511067Z * [new tag] viable/strict/1761366338 -> viable/strict/1761366338 2025-12-04T09:17:24.6512687Z * [new tag] viable/strict/1761367802 -> viable/strict/1761367802 2025-12-04T09:17:24.6514282Z * [new tag] viable/strict/1761369889 -> viable/strict/1761369889 2025-12-04T09:17:24.6515898Z * [new tag] viable/strict/1761371385 -> viable/strict/1761371385 2025-12-04T09:17:24.6517475Z * [new tag] viable/strict/1761373581 -> viable/strict/1761373581 2025-12-04T09:17:24.6519212Z * [new tag] viable/strict/1761375054 -> viable/strict/1761375054 2025-12-04T09:17:24.6520822Z * [new tag] viable/strict/1761421785 -> viable/strict/1761421785 2025-12-04T09:17:24.6522441Z * [new tag] viable/strict/1761434614 -> viable/strict/1761434614 2025-12-04T09:17:24.6524333Z * [new tag] viable/strict/1761439254 -> viable/strict/1761439254 2025-12-04T09:17:24.6525903Z * [new tag] viable/strict/1761454187 -> viable/strict/1761454187 2025-12-04T09:17:24.6527492Z * [new tag] viable/strict/1761459991 -> viable/strict/1761459991 2025-12-04T09:17:24.6529219Z * [new tag] viable/strict/1761470668 -> viable/strict/1761470668 2025-12-04T09:17:24.6531168Z * [new tag] viable/strict/1761472188 -> viable/strict/1761472188 2025-12-04T09:17:24.6532704Z * [new tag] viable/strict/1761503178 -> viable/strict/1761503178 2025-12-04T09:17:24.6534268Z * [new tag] viable/strict/1761517492 -> viable/strict/1761517492 2025-12-04T09:17:24.6535827Z * [new tag] viable/strict/1761518981 -> viable/strict/1761518981 2025-12-04T09:17:24.6537479Z * [new tag] viable/strict/1761533609 -> viable/strict/1761533609 2025-12-04T09:17:24.6538868Z * [new tag] viable/strict/1761546438 -> viable/strict/1761546438 2025-12-04T09:17:24.6540488Z * [new tag] viable/strict/1761548133 -> viable/strict/1761548133 2025-12-04T09:17:24.6542251Z * [new tag] viable/strict/1761555186 -> viable/strict/1761555186 2025-12-04T09:17:24.6543885Z * [new tag] viable/strict/1761557178 -> viable/strict/1761557178 2025-12-04T09:17:24.6553556Z * [new tag] viable/strict/1761560772 -> viable/strict/1761560772 2025-12-04T09:17:24.6554137Z * [new tag] viable/strict/1761562266 -> viable/strict/1761562266 2025-12-04T09:17:24.6554376Z * [new tag] viable/strict/1761564260 -> viable/strict/1761564260 2025-12-04T09:17:24.6554553Z * [new tag] viable/strict/1761568072 -> viable/strict/1761568072 2025-12-04T09:17:24.6554725Z * [new tag] viable/strict/1761571683 -> viable/strict/1761571683 2025-12-04T09:17:24.6555014Z * [new tag] viable/strict/1761580199 -> viable/strict/1761580199 2025-12-04T09:17:24.6555201Z * [new tag] viable/strict/1761587383 -> viable/strict/1761587383 2025-12-04T09:17:24.6556771Z * [new tag] viable/strict/1761591165 -> viable/strict/1761591165 2025-12-04T09:17:24.6558576Z * [new tag] viable/strict/1761594575 -> viable/strict/1761594575 2025-12-04T09:17:24.6559888Z * [new tag] viable/strict/1761596710 -> viable/strict/1761596710 2025-12-04T09:17:24.6561717Z * [new tag] viable/strict/1761598189 -> viable/strict/1761598189 2025-12-04T09:17:24.6562996Z * [new tag] viable/strict/1761600254 -> viable/strict/1761600254 2025-12-04T09:17:24.6564489Z * [new tag] viable/strict/1761603879 -> viable/strict/1761603879 2025-12-04T09:17:24.6566037Z * [new tag] viable/strict/1761605429 -> viable/strict/1761605429 2025-12-04T09:17:24.6567775Z * [new tag] viable/strict/1761607468 -> viable/strict/1761607468 2025-12-04T09:17:24.6569312Z * [new tag] viable/strict/1761608983 -> viable/strict/1761608983 2025-12-04T09:17:24.6570852Z * [new tag] viable/strict/1761611846 -> viable/strict/1761611846 2025-12-04T09:17:24.6572437Z * [new tag] viable/strict/1761613922 -> viable/strict/1761613922 2025-12-04T09:17:24.6573819Z * [new tag] viable/strict/1761616504 -> viable/strict/1761616504 2025-12-04T09:17:24.6575233Z * [new tag] viable/strict/1761619599 -> viable/strict/1761619599 2025-12-04T09:17:24.6576799Z * [new tag] viable/strict/1761686693 -> viable/strict/1761686693 2025-12-04T09:17:24.6578323Z * [new tag] viable/strict/1761688179 -> viable/strict/1761688179 2025-12-04T09:17:24.6579873Z * [new tag] viable/strict/1761691973 -> viable/strict/1761691973 2025-12-04T09:17:24.6581673Z * [new tag] viable/strict/1761693884 -> viable/strict/1761693884 2025-12-04T09:17:24.6583184Z * [new tag] viable/strict/1761695389 -> viable/strict/1761695389 2025-12-04T09:17:24.6584722Z * [new tag] viable/strict/1761698408 -> viable/strict/1761698408 2025-12-04T09:17:24.6586259Z * [new tag] viable/strict/1761702931 -> viable/strict/1761702931 2025-12-04T09:17:24.6587848Z * [new tag] viable/strict/1761706307 -> viable/strict/1761706307 2025-12-04T09:17:24.6589784Z * [new tag] viable/strict/1761709065 -> viable/strict/1761709065 2025-12-04T09:17:24.6591346Z * [new tag] viable/strict/1761710285 -> viable/strict/1761710285 2025-12-04T09:17:24.6592938Z * [new tag] viable/strict/1761711983 -> viable/strict/1761711983 2025-12-04T09:17:24.6594654Z * [new tag] viable/strict/1761713514 -> viable/strict/1761713514 2025-12-04T09:17:24.6596292Z * [new tag] viable/strict/1761715523 -> viable/strict/1761715523 2025-12-04T09:17:24.6597916Z * [new tag] viable/strict/1761727973 -> viable/strict/1761727973 2025-12-04T09:17:24.6599672Z * [new tag] viable/strict/1761751558 -> viable/strict/1761751558 2025-12-04T09:17:24.6601279Z * [new tag] viable/strict/1761755187 -> viable/strict/1761755187 2025-12-04T09:17:24.6602927Z * [new tag] viable/strict/1761756826 -> viable/strict/1761756826 2025-12-04T09:17:24.6604533Z * [new tag] viable/strict/1761769551 -> viable/strict/1761769551 2025-12-04T09:17:24.6606247Z * [new tag] viable/strict/1761771032 -> viable/strict/1761771032 2025-12-04T09:17:24.6607704Z * [new tag] viable/strict/1761773101 -> viable/strict/1761773101 2025-12-04T09:17:24.6609439Z * [new tag] viable/strict/1761781792 -> viable/strict/1761781792 2025-12-04T09:17:24.6611243Z * [new tag] viable/strict/1761784788 -> viable/strict/1761784788 2025-12-04T09:17:24.6612693Z * [new tag] viable/strict/1761786740 -> viable/strict/1761786740 2025-12-04T09:17:24.6614341Z * [new tag] viable/strict/1761789332 -> viable/strict/1761789332 2025-12-04T09:17:24.6616373Z * [new tag] viable/strict/1761792569 -> viable/strict/1761792569 2025-12-04T09:17:24.6617947Z * [new tag] viable/strict/1761795289 -> viable/strict/1761795289 2025-12-04T09:17:24.6619564Z * [new tag] viable/strict/1761798345 -> viable/strict/1761798345 2025-12-04T09:17:24.6621225Z * [new tag] viable/strict/1761799827 -> viable/strict/1761799827 2025-12-04T09:17:24.6622853Z * [new tag] viable/strict/1761805604 -> viable/strict/1761805604 2025-12-04T09:17:24.6624442Z * [new tag] viable/strict/1761807202 -> viable/strict/1761807202 2025-12-04T09:17:24.6626075Z * [new tag] viable/strict/1761809094 -> viable/strict/1761809094 2025-12-04T09:17:24.6627684Z * [new tag] viable/strict/1761810576 -> viable/strict/1761810576 2025-12-04T09:17:24.6629332Z * [new tag] viable/strict/1761812771 -> viable/strict/1761812771 2025-12-04T09:17:24.6630931Z * [new tag] viable/strict/1761814363 -> viable/strict/1761814363 2025-12-04T09:17:24.6632515Z * [new tag] viable/strict/1761857410 -> viable/strict/1761857410 2025-12-04T09:17:24.6634168Z * [new tag] viable/strict/1761860985 -> viable/strict/1761860985 2025-12-04T09:17:24.6635801Z * [new tag] viable/strict/1761863094 -> viable/strict/1761863094 2025-12-04T09:17:24.6637391Z * [new tag] viable/strict/1761864590 -> viable/strict/1761864590 2025-12-04T09:17:24.6639120Z * [new tag] viable/strict/1761866675 -> viable/strict/1761866675 2025-12-04T09:17:24.6640945Z * [new tag] viable/strict/1761868178 -> viable/strict/1761868178 2025-12-04T09:17:24.6642598Z * [new tag] viable/strict/1761871111 -> viable/strict/1761871111 2025-12-04T09:17:24.6644370Z * [new tag] viable/strict/1761873126 -> viable/strict/1761873126 2025-12-04T09:17:24.6645879Z * [new tag] viable/strict/1761875714 -> viable/strict/1761875714 2025-12-04T09:17:24.6647511Z * [new tag] viable/strict/1761878924 -> viable/strict/1761878924 2025-12-04T09:17:24.6649700Z * [new tag] viable/strict/1761881727 -> viable/strict/1761881727 2025-12-04T09:17:24.6651308Z * [new tag] viable/strict/1761882959 -> viable/strict/1761882959 2025-12-04T09:17:24.6652904Z * [new tag] viable/strict/1761886268 -> viable/strict/1761886268 2025-12-04T09:17:24.6654482Z * [new tag] viable/strict/1761893641 -> viable/strict/1761893641 2025-12-04T09:17:24.6656152Z * [new tag] viable/strict/1761931517 -> viable/strict/1761931517 2025-12-04T09:17:24.6657762Z * [new tag] viable/strict/1761933080 -> viable/strict/1761933080 2025-12-04T09:17:24.6659346Z * [new tag] viable/strict/1761935217 -> viable/strict/1761935217 2025-12-04T09:17:24.6660992Z * [new tag] viable/strict/1761938533 -> viable/strict/1761938533 2025-12-04T09:17:24.6662781Z * [new tag] viable/strict/1761940184 -> viable/strict/1761940184 2025-12-04T09:17:24.6664486Z * [new tag] viable/strict/1761942338 -> viable/strict/1761942338 2025-12-04T09:17:24.6666143Z * [new tag] viable/strict/1761946100 -> viable/strict/1761946100 2025-12-04T09:17:24.6667770Z * [new tag] viable/strict/1761947374 -> viable/strict/1761947374 2025-12-04T09:17:24.6669365Z * [new tag] viable/strict/1761950978 -> viable/strict/1761950978 2025-12-04T09:17:24.6671117Z * [new tag] viable/strict/1761957727 -> viable/strict/1761957727 2025-12-04T09:17:24.6672625Z * [new tag] viable/strict/1761959532 -> viable/strict/1761959532 2025-12-04T09:17:24.6674205Z * [new tag] viable/strict/1761965366 -> viable/strict/1761965366 2025-12-04T09:17:24.6676422Z * [new tag] viable/strict/1761968066 -> viable/strict/1761968066 2025-12-04T09:17:24.6678070Z * [new tag] viable/strict/1761969322 -> viable/strict/1761969322 2025-12-04T09:17:24.6679749Z * [new tag] viable/strict/1761974723 -> viable/strict/1761974723 2025-12-04T09:17:24.6681352Z * [new tag] viable/strict/1761981837 -> viable/strict/1761981837 2025-12-04T09:17:24.6683074Z * [new tag] viable/strict/1761985546 -> viable/strict/1761985546 2025-12-04T09:17:24.6684747Z * [new tag] viable/strict/1761987030 -> viable/strict/1761987030 2025-12-04T09:17:24.6686425Z * [new tag] viable/strict/1762003554 -> viable/strict/1762003554 2025-12-04T09:17:24.6687977Z * [new tag] viable/strict/1762021560 -> viable/strict/1762021560 2025-12-04T09:17:24.6692584Z * [new tag] viable/strict/1762032190 -> viable/strict/1762032190 2025-12-04T09:17:24.6694209Z * [new tag] viable/strict/1762040981 -> viable/strict/1762040981 2025-12-04T09:17:24.6695864Z * [new tag] viable/strict/1762048525 -> viable/strict/1762048525 2025-12-04T09:17:24.6697465Z * [new tag] viable/strict/1762104223 -> viable/strict/1762104223 2025-12-04T09:17:24.6699056Z * [new tag] viable/strict/1762105778 -> viable/strict/1762105778 2025-12-04T09:17:24.6700648Z * [new tag] viable/strict/1762115109 -> viable/strict/1762115109 2025-12-04T09:17:24.6702274Z * [new tag] viable/strict/1762125840 -> viable/strict/1762125840 2025-12-04T09:17:24.6703730Z * [new tag] viable/strict/1762127377 -> viable/strict/1762127377 2025-12-04T09:17:24.6705678Z * [new tag] viable/strict/1762134925 -> viable/strict/1762134925 2025-12-04T09:17:24.6707264Z * [new tag] viable/strict/1762138338 -> viable/strict/1762138338 2025-12-04T09:17:24.6709127Z * [new tag] viable/strict/1762148993 -> viable/strict/1762148993 2025-12-04T09:17:24.6710806Z * [new tag] viable/strict/1762152871 -> viable/strict/1762152871 2025-12-04T09:17:24.6712443Z * [new tag] viable/strict/1762156183 -> viable/strict/1762156183 2025-12-04T09:17:24.6714087Z * [new tag] viable/strict/1762163457 -> viable/strict/1762163457 2025-12-04T09:17:24.6715714Z * [new tag] viable/strict/1762165569 -> viable/strict/1762165569 2025-12-04T09:17:24.6717303Z * [new tag] viable/strict/1762169035 -> viable/strict/1762169035 2025-12-04T09:17:24.6719142Z * [new tag] viable/strict/1762174936 -> viable/strict/1762174936 2025-12-04T09:17:24.6720758Z * [new tag] viable/strict/1762194412 -> viable/strict/1762194412 2025-12-04T09:17:24.6722335Z * [new tag] viable/strict/1762195876 -> viable/strict/1762195876 2025-12-04T09:17:24.6724009Z * [new tag] viable/strict/1762197788 -> viable/strict/1762197788 2025-12-04T09:17:24.6725638Z * [new tag] viable/strict/1762199389 -> viable/strict/1762199389 2025-12-04T09:17:24.6727472Z * [new tag] viable/strict/1762206585 -> viable/strict/1762206585 2025-12-04T09:17:24.6729208Z * [new tag] viable/strict/1762210184 -> viable/strict/1762210184 2025-12-04T09:17:24.6730658Z * [new tag] viable/strict/1762218736 -> viable/strict/1762218736 2025-12-04T09:17:24.6732284Z * [new tag] viable/strict/1762224529 -> viable/strict/1762224529 2025-12-04T09:17:24.6734106Z * [new tag] viable/strict/1762227253 -> viable/strict/1762227253 2025-12-04T09:17:24.6735418Z * [new tag] viable/strict/1762228515 -> viable/strict/1762228515 2025-12-04T09:17:24.6737163Z * [new tag] viable/strict/1762230349 -> viable/strict/1762230349 2025-12-04T09:17:24.6739066Z * [new tag] viable/strict/1762231859 -> viable/strict/1762231859 2025-12-04T09:17:24.6740411Z * [new tag] viable/strict/1762233925 -> viable/strict/1762233925 2025-12-04T09:17:24.6742114Z * [new tag] viable/strict/1762237630 -> viable/strict/1762237630 2025-12-04T09:17:24.6743600Z * [new tag] viable/strict/1762253522 -> viable/strict/1762253522 2025-12-04T09:17:24.6745448Z * [new tag] viable/strict/1762278588 -> viable/strict/1762278588 2025-12-04T09:17:24.6747115Z * [new tag] viable/strict/1762284203 -> viable/strict/1762284203 2025-12-04T09:17:24.6748772Z * [new tag] viable/strict/1762289446 -> viable/strict/1762289446 2025-12-04T09:17:24.6750387Z * [new tag] viable/strict/1762291515 -> viable/strict/1762291515 2025-12-04T09:17:24.6751993Z * [new tag] viable/strict/1762295100 -> viable/strict/1762295100 2025-12-04T09:17:24.6753550Z * [new tag] viable/strict/1762296590 -> viable/strict/1762296590 2025-12-04T09:17:24.6754972Z * [new tag] viable/strict/1762300179 -> viable/strict/1762300179 2025-12-04T09:17:24.6756423Z * [new tag] viable/strict/1762303207 -> viable/strict/1762303207 2025-12-04T09:17:24.6758616Z * [new tag] viable/strict/1762386584 -> viable/strict/1762386584 2025-12-04T09:17:24.6760309Z * [new tag] viable/strict/1762391537 -> viable/strict/1762391537 2025-12-04T09:17:24.6761757Z * [new tag] viable/strict/1762394119 -> viable/strict/1762394119 2025-12-04T09:17:24.6763982Z * [new tag] viable/strict/1762397437 -> viable/strict/1762397437 2025-12-04T09:17:24.6765315Z * [new tag] viable/strict/1762400256 -> viable/strict/1762400256 2025-12-04T09:17:24.6766959Z * [new tag] viable/strict/1762401469 -> viable/strict/1762401469 2025-12-04T09:17:24.6768623Z * [new tag] viable/strict/1762408195 -> viable/strict/1762408195 2025-12-04T09:17:24.6770272Z * [new tag] viable/strict/1762410411 -> viable/strict/1762410411 2025-12-04T09:17:24.6772024Z * [new tag] viable/strict/1762417613 -> viable/strict/1762417613 2025-12-04T09:17:24.6773670Z * [new tag] viable/strict/1762419198 -> viable/strict/1762419198 2025-12-04T09:17:24.6775268Z * [new tag] viable/strict/1762422656 -> viable/strict/1762422656 2025-12-04T09:17:24.6777226Z * [new tag] viable/strict/1762424746 -> viable/strict/1762424746 2025-12-04T09:17:24.6778907Z * [new tag] viable/strict/1762446386 -> viable/strict/1762446386 2025-12-04T09:17:24.6780547Z * [new tag] viable/strict/1762449912 -> viable/strict/1762449912 2025-12-04T09:17:24.6782160Z * [new tag] viable/strict/1762457031 -> viable/strict/1762457031 2025-12-04T09:17:24.6783787Z * [new tag] viable/strict/1762462441 -> viable/strict/1762462441 2025-12-04T09:17:24.6785714Z * [new tag] viable/strict/1762467909 -> viable/strict/1762467909 2025-12-04T09:17:24.6787096Z * [new tag] viable/strict/1762471493 -> viable/strict/1762471493 2025-12-04T09:17:24.6789107Z * [new tag] viable/strict/1762475990 -> viable/strict/1762475990 2025-12-04T09:17:24.6790675Z * [new tag] viable/strict/1762477933 -> viable/strict/1762477933 2025-12-04T09:17:24.6792327Z * [new tag] viable/strict/1762491053 -> viable/strict/1762491053 2025-12-04T09:17:24.6794123Z * [new tag] viable/strict/1762493118 -> viable/strict/1762493118 2025-12-04T09:17:24.6795596Z * [new tag] viable/strict/1762498442 -> viable/strict/1762498442 2025-12-04T09:17:24.6797446Z * [new tag] viable/strict/1762501778 -> viable/strict/1762501778 2025-12-04T09:17:24.6798979Z * [new tag] viable/strict/1762504001 -> viable/strict/1762504001 2025-12-04T09:17:24.6800678Z * [new tag] viable/strict/1762505583 -> viable/strict/1762505583 2025-12-04T09:17:24.6802412Z * [new tag] viable/strict/1762507523 -> viable/strict/1762507523 2025-12-04T09:17:24.6804152Z * [new tag] viable/strict/1762511140 -> viable/strict/1762511140 2025-12-04T09:17:24.6805856Z * [new tag] viable/strict/1762512632 -> viable/strict/1762512632 2025-12-04T09:17:24.6807500Z * [new tag] viable/strict/1762520467 -> viable/strict/1762520467 2025-12-04T09:17:24.6809130Z * [new tag] viable/strict/1762522016 -> viable/strict/1762522016 2025-12-04T09:17:24.6810724Z * [new tag] viable/strict/1762530591 -> viable/strict/1762530591 2025-12-04T09:17:24.6812354Z * [new tag] viable/strict/1762543405 -> viable/strict/1762543405 2025-12-04T09:17:24.6813848Z * [new tag] viable/strict/1762544998 -> viable/strict/1762544998 2025-12-04T09:17:24.6815467Z * [new tag] viable/strict/1762552182 -> viable/strict/1762552182 2025-12-04T09:17:24.6817073Z * [new tag] viable/strict/1762554297 -> viable/strict/1762554297 2025-12-04T09:17:24.6818529Z * [new tag] viable/strict/1762559381 -> viable/strict/1762559381 2025-12-04T09:17:24.6820189Z * [new tag] viable/strict/1762562222 -> viable/strict/1762562222 2025-12-04T09:17:24.6822068Z * [new tag] viable/strict/1762564319 -> viable/strict/1762564319 2025-12-04T09:17:24.6823300Z * [new tag] viable/strict/1762566904 -> viable/strict/1762566904 2025-12-04T09:17:24.6825105Z * [new tag] viable/strict/1762569781 -> viable/strict/1762569781 2025-12-04T09:17:24.6826732Z * [new tag] viable/strict/1762575940 -> viable/strict/1762575940 2025-12-04T09:17:24.6828796Z * [new tag] viable/strict/1762580974 -> viable/strict/1762580974 2025-12-04T09:17:24.6831248Z * [new tag] viable/strict/1762583185 -> viable/strict/1762583185 2025-12-04T09:17:24.6832038Z * [new tag] viable/strict/1762586647 -> viable/strict/1762586647 2025-12-04T09:17:24.6833943Z * [new tag] viable/strict/1762588183 -> viable/strict/1762588183 2025-12-04T09:17:24.6835526Z * [new tag] viable/strict/1762593886 -> viable/strict/1762593886 2025-12-04T09:17:24.6837120Z * [new tag] viable/strict/1762650743 -> viable/strict/1762650743 2025-12-04T09:17:24.6838874Z * [new tag] viable/strict/1762653328 -> viable/strict/1762653328 2025-12-04T09:17:24.6840492Z * [new tag] viable/strict/1762659342 -> viable/strict/1762659342 2025-12-04T09:17:24.6842079Z * [new tag] viable/strict/1762662360 -> viable/strict/1762662360 2025-12-04T09:17:24.6843658Z * [new tag] viable/strict/1762667377 -> viable/strict/1762667377 2025-12-04T09:17:24.6845333Z * [new tag] viable/strict/1762671090 -> viable/strict/1762671090 2025-12-04T09:17:24.6846979Z * [new tag] viable/strict/1762680284 -> viable/strict/1762680284 2025-12-04T09:17:24.6848582Z * [new tag] viable/strict/1762683900 -> viable/strict/1762683900 2025-12-04T09:17:24.6850194Z * [new tag] viable/strict/1762705541 -> viable/strict/1762705541 2025-12-04T09:17:24.6851832Z * [new tag] viable/strict/1762709004 -> viable/strict/1762709004 2025-12-04T09:17:24.6853655Z * [new tag] viable/strict/1762746004 -> viable/strict/1762746004 2025-12-04T09:17:24.6855268Z * [new tag] viable/strict/1762748799 -> viable/strict/1762748799 2025-12-04T09:17:24.6856894Z * [new tag] viable/strict/1762759504 -> viable/strict/1762759504 2025-12-04T09:17:24.6858568Z * [new tag] viable/strict/1762760973 -> viable/strict/1762760973 2025-12-04T09:17:24.6860169Z * [new tag] viable/strict/1762775374 -> viable/strict/1762775374 2025-12-04T09:17:24.6861813Z * [new tag] viable/strict/1762777661 -> viable/strict/1762777661 2025-12-04T09:17:24.6863467Z * [new tag] viable/strict/1762779774 -> viable/strict/1762779774 2025-12-04T09:17:24.6865711Z * [new tag] viable/strict/1762781259 -> viable/strict/1762781259 2025-12-04T09:17:24.6867439Z * [new tag] viable/strict/1762793628 -> viable/strict/1762793628 2025-12-04T09:17:24.6869043Z * [new tag] viable/strict/1762800711 -> viable/strict/1762800711 2025-12-04T09:17:24.6870661Z * [new tag] viable/strict/1762809894 -> viable/strict/1762809894 2025-12-04T09:17:24.6872255Z * [new tag] viable/strict/1762811384 -> viable/strict/1762811384 2025-12-04T09:17:24.6873962Z * [new tag] viable/strict/1762813841 -> viable/strict/1762813841 2025-12-04T09:17:24.6875577Z * [new tag] viable/strict/1762815047 -> viable/strict/1762815047 2025-12-04T09:17:24.6877317Z * [new tag] viable/strict/1762817094 -> viable/strict/1762817094 2025-12-04T09:17:24.6879145Z * [new tag] viable/strict/1762818582 -> viable/strict/1762818582 2025-12-04T09:17:24.6880774Z * [new tag] viable/strict/1762821623 -> viable/strict/1762821623 2025-12-04T09:17:24.6882237Z * [new tag] viable/strict/1762823531 -> viable/strict/1762823531 2025-12-04T09:17:24.6884190Z * [new tag] viable/strict/1762849583 -> viable/strict/1762849583 2025-12-04T09:17:24.6885515Z * [new tag] viable/strict/1762851200 -> viable/strict/1762851200 2025-12-04T09:17:24.6887166Z * [new tag] viable/strict/1762854603 -> viable/strict/1762854603 2025-12-04T09:17:24.6888964Z * [new tag] viable/strict/1762858276 -> viable/strict/1762858276 2025-12-04T09:17:24.6890740Z * [new tag] viable/strict/1762860891 -> viable/strict/1762860891 2025-12-04T09:17:24.6892954Z * [new tag] viable/strict/1762866174 -> viable/strict/1762866174 2025-12-04T09:17:24.6894609Z * [new tag] viable/strict/1762867653 -> viable/strict/1762867653 2025-12-04T09:17:24.6896195Z * [new tag] viable/strict/1762872669 -> viable/strict/1762872669 2025-12-04T09:17:24.6897640Z * [new tag] viable/strict/1762878380 -> viable/strict/1762878380 2025-12-04T09:17:24.6899303Z * [new tag] viable/strict/1762889003 -> viable/strict/1762889003 2025-12-04T09:17:24.6900917Z * [new tag] viable/strict/1762890589 -> viable/strict/1762890589 2025-12-04T09:17:24.6902514Z * [new tag] viable/strict/1762892743 -> viable/strict/1762892743 2025-12-04T09:17:24.6904180Z * [new tag] viable/strict/1762894271 -> viable/strict/1762894271 2025-12-04T09:17:24.6905656Z * [new tag] viable/strict/1762896287 -> viable/strict/1762896287 2025-12-04T09:17:24.6907301Z * [new tag] viable/strict/1762915871 -> viable/strict/1762915871 2025-12-04T09:17:24.6908931Z * [new tag] viable/strict/1762918569 -> viable/strict/1762918569 2025-12-04T09:17:24.6910399Z * [new tag] viable/strict/1762919776 -> viable/strict/1762919776 2025-12-04T09:17:24.6912054Z * [new tag] viable/strict/1762923072 -> viable/strict/1762923072 2025-12-04T09:17:24.6913994Z * [new tag] viable/strict/1762928826 -> viable/strict/1762928826 2025-12-04T09:17:24.6915544Z * [new tag] viable/strict/1762930451 -> viable/strict/1762930451 2025-12-04T09:17:24.6917133Z * [new tag] viable/strict/1762933780 -> viable/strict/1762933780 2025-12-04T09:17:24.6918968Z * [new tag] viable/strict/1762937638 -> viable/strict/1762937638 2025-12-04T09:17:24.6920757Z * [new tag] viable/strict/1762939545 -> viable/strict/1762939545 2025-12-04T09:17:24.6922425Z * [new tag] viable/strict/1762962692 -> viable/strict/1762962692 2025-12-04T09:17:24.6924082Z * [new tag] viable/strict/1762979143 -> viable/strict/1762979143 2025-12-04T09:17:24.6925735Z * [new tag] viable/strict/1762984188 -> viable/strict/1762984188 2025-12-04T09:17:24.6927186Z * [new tag] viable/strict/1762986306 -> viable/strict/1762986306 2025-12-04T09:17:24.6928824Z * [new tag] viable/strict/1762989903 -> viable/strict/1762989903 2025-12-04T09:17:24.6930392Z * [new tag] viable/strict/1762991377 -> viable/strict/1762991377 2025-12-04T09:17:24.6932142Z * [new tag] viable/strict/1762998921 -> viable/strict/1762998921 2025-12-04T09:17:24.6933858Z * [new tag] viable/strict/1763002287 -> viable/strict/1763002287 2025-12-04T09:17:24.6935498Z * [new tag] viable/strict/1763016840 -> viable/strict/1763016840 2025-12-04T09:17:24.6937111Z * [new tag] viable/strict/1763020180 -> viable/strict/1763020180 2025-12-04T09:17:24.6938809Z * [new tag] viable/strict/1763027421 -> viable/strict/1763027421 2025-12-04T09:17:24.6940484Z * [new tag] viable/strict/1763031120 -> viable/strict/1763031120 2025-12-04T09:17:24.6942306Z * [new tag] viable/strict/1763036861 -> viable/strict/1763036861 2025-12-04T09:17:24.6944052Z * [new tag] viable/strict/1763038993 -> viable/strict/1763038993 2025-12-04T09:17:24.6945762Z * [new tag] viable/strict/1763054703 -> viable/strict/1763054703 2025-12-04T09:17:24.6947199Z * [new tag] viable/strict/1763067061 -> viable/strict/1763067061 2025-12-04T09:17:24.6949102Z * [new tag] viable/strict/1763070847 -> viable/strict/1763070847 2025-12-04T09:17:24.6950481Z * [new tag] viable/strict/1763072706 -> viable/strict/1763072706 2025-12-04T09:17:24.6952167Z * [new tag] viable/strict/1763076302 -> viable/strict/1763076302 2025-12-04T09:17:24.6953808Z * [new tag] viable/strict/1763080816 -> viable/strict/1763080816 2025-12-04T09:17:24.6955419Z * [new tag] viable/strict/1763082732 -> viable/strict/1763082732 2025-12-04T09:17:24.6957032Z * [new tag] viable/strict/1763085329 -> viable/strict/1763085329 2025-12-04T09:17:24.6958756Z * [new tag] viable/strict/1763088623 -> viable/strict/1763088623 2025-12-04T09:17:24.6960453Z * [new tag] viable/strict/1763091402 -> viable/strict/1763091402 2025-12-04T09:17:24.6962330Z * [new tag] viable/strict/1763092602 -> viable/strict/1763092602 2025-12-04T09:17:24.6963744Z * [new tag] viable/strict/1763094355 -> viable/strict/1763094355 2025-12-04T09:17:24.6965462Z * [new tag] viable/strict/1763099390 -> viable/strict/1763099390 2025-12-04T09:17:24.6966971Z * [new tag] viable/strict/1763101608 -> viable/strict/1763101608 2025-12-04T09:17:24.6968647Z * [new tag] viable/strict/1763105102 -> viable/strict/1763105102 2025-12-04T09:17:24.6970328Z * [new tag] viable/strict/1763112347 -> viable/strict/1763112347 2025-12-04T09:17:24.6972395Z * [new tag] viable/strict/1763119471 -> viable/strict/1763119471 2025-12-04T09:17:24.6974300Z * [new tag] viable/strict/1763126835 -> viable/strict/1763126835 2025-12-04T09:17:24.6975137Z * [new tag] viable/strict/1763149779 -> viable/strict/1763149779 2025-12-04T09:17:24.6976972Z * [new tag] viable/strict/1763164178 -> viable/strict/1763164178 2025-12-04T09:17:24.6978585Z * [new tag] viable/strict/1763167104 -> viable/strict/1763167104 2025-12-04T09:17:24.6980138Z * [new tag] viable/strict/1763169132 -> viable/strict/1763169132 2025-12-04T09:17:24.6981779Z * [new tag] viable/strict/1763171708 -> viable/strict/1763171708 2025-12-04T09:17:24.6983401Z * [new tag] viable/strict/1763174759 -> viable/strict/1763174759 2025-12-04T09:17:24.6985151Z * [new tag] viable/strict/1763180744 -> viable/strict/1763180744 2025-12-04T09:17:24.6986800Z * [new tag] viable/strict/1763182227 -> viable/strict/1763182227 2025-12-04T09:17:24.6988723Z * [new tag] viable/strict/1763184309 -> viable/strict/1763184309 2025-12-04T09:17:24.6990730Z * [new tag] viable/strict/1763187991 -> viable/strict/1763187991 2025-12-04T09:17:24.6992297Z * [new tag] viable/strict/1763191445 -> viable/strict/1763191445 2025-12-04T09:17:24.6994131Z * [new tag] viable/strict/1763195152 -> viable/strict/1763195152 2025-12-04T09:17:24.6995865Z * [new tag] viable/strict/1763205769 -> viable/strict/1763205769 2025-12-04T09:17:24.6997329Z * [new tag] viable/strict/1763246990 -> viable/strict/1763246990 2025-12-04T09:17:24.6999158Z * [new tag] viable/strict/1763261578 -> viable/strict/1763261578 2025-12-04T09:17:24.7000638Z * [new tag] viable/strict/1763286573 -> viable/strict/1763286573 2025-12-04T09:17:24.7002148Z * [new tag] viable/strict/1763292167 -> viable/strict/1763292167 2025-12-04T09:17:24.7003832Z * [new tag] viable/strict/1763333386 -> viable/strict/1763333386 2025-12-04T09:17:24.7005401Z * [new tag] viable/strict/1763340082 -> viable/strict/1763340082 2025-12-04T09:17:24.7007966Z * [new tag] viable/strict/1763364324 -> viable/strict/1763364324 2025-12-04T09:17:24.7009315Z * [new tag] viable/strict/1763371569 -> viable/strict/1763371569 2025-12-04T09:17:24.7010887Z * [new tag] viable/strict/1763373067 -> viable/strict/1763373067 2025-12-04T09:17:24.7012476Z * [new tag] viable/strict/1763375157 -> viable/strict/1763375157 2025-12-04T09:17:24.7014125Z * [new tag] viable/strict/1763382462 -> viable/strict/1763382462 2025-12-04T09:17:24.7015884Z * [new tag] viable/strict/1763394661 -> viable/strict/1763394661 2025-12-04T09:17:24.7017682Z * [new tag] viable/strict/1763396797 -> viable/strict/1763396797 2025-12-04T09:17:24.7019358Z * [new tag] viable/strict/1763398542 -> viable/strict/1763398542 2025-12-04T09:17:24.7021002Z * [new tag] viable/strict/1763401807 -> viable/strict/1763401807 2025-12-04T09:17:24.7022506Z * [new tag] viable/strict/1763414698 -> viable/strict/1763414698 2025-12-04T09:17:24.7024123Z * [new tag] viable/strict/1763419807 -> viable/strict/1763419807 2025-12-04T09:17:24.7025778Z * [new tag] viable/strict/1763426369 -> viable/strict/1763426369 2025-12-04T09:17:24.7027454Z * [new tag] viable/strict/1763428331 -> viable/strict/1763428331 2025-12-04T09:17:24.7029133Z * [new tag] viable/strict/1763430922 -> viable/strict/1763430922 2025-12-04T09:17:24.7030609Z * [new tag] viable/strict/1763434184 -> viable/strict/1763434184 2025-12-04T09:17:24.7032239Z * [new tag] viable/strict/1763439973 -> viable/strict/1763439973 2025-12-04T09:17:24.7034095Z * [new tag] viable/strict/1763444995 -> viable/strict/1763444995 2025-12-04T09:17:24.7035557Z * [new tag] viable/strict/1763447206 -> viable/strict/1763447206 2025-12-04T09:17:24.7037186Z * [new tag] viable/strict/1763448826 -> viable/strict/1763448826 2025-12-04T09:17:24.7039172Z * [new tag] viable/strict/1763450717 -> viable/strict/1763450717 2025-12-04T09:17:24.7040747Z * [new tag] viable/strict/1763452183 -> viable/strict/1763452183 2025-12-04T09:17:24.7042421Z * [new tag] viable/strict/1763457945 -> viable/strict/1763457945 2025-12-04T09:17:24.7044109Z * [new tag] viable/strict/1763459439 -> viable/strict/1763459439 2025-12-04T09:17:24.7045545Z * [new tag] viable/strict/1763461556 -> viable/strict/1763461556 2025-12-04T09:17:24.7047420Z * [new tag] viable/strict/1763463103 -> viable/strict/1763463103 2025-12-04T09:17:24.7048859Z * [new tag] viable/strict/1763465100 -> viable/strict/1763465100 2025-12-04T09:17:24.7050355Z * [new tag] viable/strict/1763468866 -> viable/strict/1763468866 2025-12-04T09:17:24.7051794Z * [new tag] viable/strict/1763493823 -> viable/strict/1763493823 2025-12-04T09:17:24.7053269Z * [new tag] viable/strict/1763496249 -> viable/strict/1763496249 2025-12-04T09:17:24.7054917Z * [new tag] viable/strict/1763502620 -> viable/strict/1763502620 2025-12-04T09:17:24.7056622Z * [new tag] viable/strict/1763504715 -> viable/strict/1763504715 2025-12-04T09:17:24.7058228Z * [new tag] viable/strict/1763506208 -> viable/strict/1763506208 2025-12-04T09:17:24.7059871Z * [new tag] viable/strict/1763520590 -> viable/strict/1763520590 2025-12-04T09:17:24.7061570Z * [new tag] viable/strict/1763523357 -> viable/strict/1763523357 2025-12-04T09:17:24.7063336Z * [new tag] viable/strict/1763529922 -> viable/strict/1763529922 2025-12-04T09:17:24.7064991Z * [new tag] viable/strict/1763531408 -> viable/strict/1763531408 2025-12-04T09:17:24.7066588Z * [new tag] viable/strict/1763533622 -> viable/strict/1763533622 2025-12-04T09:17:24.7068148Z * [new tag] viable/strict/1763538576 -> viable/strict/1763538576 2025-12-04T09:17:24.7069916Z * [new tag] viable/strict/1763545823 -> viable/strict/1763545823 2025-12-04T09:17:24.7071339Z * [new tag] viable/strict/1763547951 -> viable/strict/1763547951 2025-12-04T09:17:24.7073086Z * [new tag] viable/strict/1763551477 -> viable/strict/1763551477 2025-12-04T09:17:24.7074720Z * [new tag] viable/strict/1763552982 -> viable/strict/1763552982 2025-12-04T09:17:24.7076471Z * [new tag] viable/strict/1763594698 -> viable/strict/1763594698 2025-12-04T09:17:24.7078561Z * [new tag] viable/strict/1763596178 -> viable/strict/1763596178 2025-12-04T09:17:24.7080201Z * [new tag] viable/strict/1763599155 -> viable/strict/1763599155 2025-12-04T09:17:24.7081825Z * [new tag] viable/strict/1763603717 -> viable/strict/1763603717 2025-12-04T09:17:24.7083490Z * [new tag] viable/strict/1763606923 -> viable/strict/1763606923 2025-12-04T09:17:24.7085077Z * [new tag] viable/strict/1763609715 -> viable/strict/1763609715 2025-12-04T09:17:24.7086674Z * [new tag] viable/strict/1763612757 -> viable/strict/1763612757 2025-12-04T09:17:24.7088479Z * [new tag] viable/strict/1763616325 -> viable/strict/1763616325 2025-12-04T09:17:24.7092884Z * [new tag] viable/strict/1763623509 -> viable/strict/1763623509 2025-12-04T09:17:24.7094975Z * [new tag] viable/strict/1763624984 -> viable/strict/1763624984 2025-12-04T09:17:24.7096474Z * [new tag] viable/strict/1763628796 -> viable/strict/1763628796 2025-12-04T09:17:24.7097927Z * [new tag] viable/strict/1763634343 -> viable/strict/1763634343 2025-12-04T09:17:24.7099483Z * [new tag] viable/strict/1763635867 -> viable/strict/1763635867 2025-12-04T09:17:24.7101312Z * [new tag] viable/strict/1763639382 -> viable/strict/1763639382 2025-12-04T09:17:24.7102884Z * [new tag] viable/strict/1763646626 -> viable/strict/1763646626 2025-12-04T09:17:24.7104701Z * [new tag] viable/strict/1763655997 -> viable/strict/1763655997 2025-12-04T09:17:24.7106344Z * [new tag] viable/strict/1763659444 -> viable/strict/1763659444 2025-12-04T09:17:24.7107927Z * [new tag] viable/strict/1763660992 -> viable/strict/1763660992 2025-12-04T09:17:24.7109502Z * [new tag] viable/strict/1763663201 -> viable/strict/1763663201 2025-12-04T09:17:24.7111169Z * [new tag] viable/strict/1763670362 -> viable/strict/1763670362 2025-12-04T09:17:24.7112805Z * [new tag] viable/strict/1763675378 -> viable/strict/1763675378 2025-12-04T09:17:24.7114536Z * [new tag] viable/strict/1763693343 -> viable/strict/1763693343 2025-12-04T09:17:24.7116118Z * [new tag] viable/strict/1763696088 -> viable/strict/1763696088 2025-12-04T09:17:24.7118190Z * [new tag] viable/strict/1763697343 -> viable/strict/1763697343 2025-12-04T09:17:24.7119625Z * [new tag] viable/strict/1763699165 -> viable/strict/1763699165 2025-12-04T09:17:24.7121214Z * [new tag] viable/strict/1763700660 -> viable/strict/1763700660 2025-12-04T09:17:24.7122800Z * [new tag] viable/strict/1763704209 -> viable/strict/1763704209 2025-12-04T09:17:24.7124691Z * [new tag] viable/strict/1763706411 -> viable/strict/1763706411 2025-12-04T09:17:24.7126571Z * [new tag] viable/strict/1763708082 -> viable/strict/1763708082 2025-12-04T09:17:24.7127833Z * [new tag] viable/strict/1763711381 -> viable/strict/1763711381 2025-12-04T09:17:24.7129341Z * [new tag] viable/strict/1763713593 -> viable/strict/1763713593 2025-12-04T09:17:24.7130969Z * [new tag] viable/strict/1763715201 -> viable/strict/1763715201 2025-12-04T09:17:24.7132565Z * [new tag] viable/strict/1763733017 -> viable/strict/1763733017 2025-12-04T09:17:24.7134163Z * [new tag] viable/strict/1763735108 -> viable/strict/1763735108 2025-12-04T09:17:24.7135775Z * [new tag] viable/strict/1763749579 -> viable/strict/1763749579 2025-12-04T09:17:24.7137421Z * [new tag] viable/strict/1763751113 -> viable/strict/1763751113 2025-12-04T09:17:24.7139072Z * [new tag] viable/strict/1763753035 -> viable/strict/1763753035 2025-12-04T09:17:24.7140751Z * [new tag] viable/strict/1763754578 -> viable/strict/1763754578 2025-12-04T09:17:24.7142346Z * [new tag] viable/strict/1763756748 -> viable/strict/1763756748 2025-12-04T09:17:24.7143947Z * [new tag] viable/strict/1763758205 -> viable/strict/1763758205 2025-12-04T09:17:24.7145477Z * [new tag] viable/strict/1763764050 -> viable/strict/1763764050 2025-12-04T09:17:24.7147211Z * [new tag] viable/strict/1763771887 -> viable/strict/1763771887 2025-12-04T09:17:24.7148920Z * [new tag] viable/strict/1763773920 -> viable/strict/1763773920 2025-12-04T09:17:24.7150567Z * [new tag] viable/strict/1763776501 -> viable/strict/1763776501 2025-12-04T09:17:24.7152085Z * [new tag] viable/strict/1763779437 -> viable/strict/1763779437 2025-12-04T09:17:24.7154200Z * [new tag] viable/strict/1763781038 -> viable/strict/1763781038 2025-12-04T09:17:24.7155545Z * [new tag] viable/strict/1763782245 -> viable/strict/1763782245 2025-12-04T09:17:24.7157049Z * [new tag] viable/strict/1763785568 -> viable/strict/1763785568 2025-12-04T09:17:24.7158812Z * [new tag] viable/strict/1763787006 -> viable/strict/1763787006 2025-12-04T09:17:24.7160588Z * [new tag] viable/strict/1763789103 -> viable/strict/1763789103 2025-12-04T09:17:24.7162220Z * [new tag] viable/strict/1763790578 -> viable/strict/1763790578 2025-12-04T09:17:24.7163780Z * [new tag] viable/strict/1763796275 -> viable/strict/1763796275 2025-12-04T09:17:24.7165873Z * [new tag] viable/strict/1763801465 -> viable/strict/1763801465 2025-12-04T09:17:24.7167197Z * [new tag] viable/strict/1763803522 -> viable/strict/1763803522 2025-12-04T09:17:24.7168771Z * [new tag] viable/strict/1763808581 -> viable/strict/1763808581 2025-12-04T09:17:24.7170412Z * [new tag] viable/strict/1763840977 -> viable/strict/1763840977 2025-12-04T09:17:24.7172012Z * [new tag] viable/strict/1763846659 -> viable/strict/1763846659 2025-12-04T09:17:24.7173598Z * [new tag] viable/strict/1763872065 -> viable/strict/1763872065 2025-12-04T09:17:24.7175384Z * [new tag] viable/strict/1763873648 -> viable/strict/1763873648 2025-12-04T09:17:24.7176939Z * [new tag] viable/strict/1763875506 -> viable/strict/1763875506 2025-12-04T09:17:24.7178413Z * [new tag] viable/strict/1763889904 -> viable/strict/1763889904 2025-12-04T09:17:24.7180022Z * [new tag] viable/strict/1763930999 -> viable/strict/1763930999 2025-12-04T09:17:24.7181632Z * [new tag] viable/strict/1763944964 -> viable/strict/1763944964 2025-12-04T09:17:24.7183506Z * [new tag] viable/strict/1763958474 -> viable/strict/1763958474 2025-12-04T09:17:24.7185080Z * [new tag] viable/strict/1763967263 -> viable/strict/1763967263 2025-12-04T09:17:24.7187116Z * [new tag] viable/strict/1763972803 -> viable/strict/1763972803 2025-12-04T09:17:24.7189053Z * [new tag] viable/strict/1763976376 -> viable/strict/1763976376 2025-12-04T09:17:24.7190549Z * [new tag] viable/strict/1763989404 -> viable/strict/1763989404 2025-12-04T09:17:24.7192090Z * [new tag] viable/strict/1763990887 -> viable/strict/1763990887 2025-12-04T09:17:24.7193680Z * [new tag] viable/strict/1764019919 -> viable/strict/1764019919 2025-12-04T09:17:24.7195331Z * [new tag] viable/strict/1764023134 -> viable/strict/1764023134 2025-12-04T09:17:24.7196776Z * [new tag] viable/strict/1764024593 -> viable/strict/1764024593 2025-12-04T09:17:24.7198413Z * [new tag] viable/strict/1764026706 -> viable/strict/1764026706 2025-12-04T09:17:24.7200417Z * [new tag] viable/strict/1764031139 -> viable/strict/1764031139 2025-12-04T09:17:24.7202078Z * [new tag] viable/strict/1764033131 -> viable/strict/1764033131 2025-12-04T09:17:24.7203534Z * [new tag] viable/strict/1764035725 -> viable/strict/1764035725 2025-12-04T09:17:24.7204984Z * [new tag] viable/strict/1764624265 -> viable/strict/1764624265 2025-12-04T09:17:24.7206399Z * [new tag] viable/strict/1764631514 -> viable/strict/1764631514 2025-12-04T09:17:24.7207827Z * [new tag] viable/strict/1764632987 -> viable/strict/1764632987 2025-12-04T09:17:24.7209266Z * [new tag] viable/strict/1764636063 -> viable/strict/1764636063 2025-12-04T09:17:24.7210687Z * [new tag] viable/strict/1764643975 -> viable/strict/1764643975 2025-12-04T09:17:24.7212143Z * [new tag] viable/strict/1764646859 -> viable/strict/1764646859 2025-12-04T09:17:24.7213785Z * [new tag] viable/strict/1764653120 -> viable/strict/1764653120 2025-12-04T09:17:24.7215028Z * [new tag] viable/strict/1764654632 -> viable/strict/1764654632 2025-12-04T09:17:24.7216662Z * [new tag] viable/strict/1764656821 -> viable/strict/1764656821 2025-12-04T09:17:24.7217717Z * [new tag] viable/strict/1764658557 -> viable/strict/1764658557 2025-12-04T09:17:24.7219385Z * [new tag] viable/strict/1764660333 -> viable/strict/1764660333 2025-12-04T09:17:24.7220787Z * [new tag] viable/strict/1764661812 -> viable/strict/1764661812 2025-12-04T09:17:24.7222205Z * [new tag] viable/strict/1764664023 -> viable/strict/1764664023 2025-12-04T09:17:24.7223686Z * [new tag] viable/strict/1764669150 -> viable/strict/1764669150 2025-12-04T09:17:24.7225143Z * [new tag] viable/strict/1764680709 -> viable/strict/1764680709 2025-12-04T09:17:24.7226570Z * [new tag] viable/strict/1764687619 -> viable/strict/1764687619 2025-12-04T09:17:24.7227981Z * [new tag] viable/strict/1764696355 -> viable/strict/1764696355 2025-12-04T09:17:24.7229454Z * [new tag] viable/strict/1764701767 -> viable/strict/1764701767 2025-12-04T09:17:24.7230869Z * [new tag] viable/strict/1764710768 -> viable/strict/1764710768 2025-12-04T09:17:24.7232309Z * [new tag] viable/strict/1764716202 -> viable/strict/1764716202 2025-12-04T09:17:24.7233731Z * [new tag] viable/strict/1764793566 -> viable/strict/1764793566 2025-12-04T09:17:24.7235125Z * [new tag] viable/strict/1764797093 -> viable/strict/1764797093 2025-12-04T09:17:24.7236560Z * [new tag] viable/strict/1764800729 -> viable/strict/1764800729 2025-12-04T09:17:24.7238165Z * [new tag] whc_flight_1 -> whc_flight_1 2025-12-04T09:17:24.7239846Z * [new tag] whc_flight_2 -> whc_flight_2 2025-12-04T09:17:24.7241521Z * [new tag] whc_flight_4 -> whc_flight_4 2025-12-04T09:17:24.8419916Z [command]/usr/bin/git rev-parse --verify --quiet ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32^{object} 2025-12-04T09:17:24.8455104Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:17:24.8459745Z ##[endgroup] 2025-12-04T09:17:24.8460031Z ##[group]Determining the checkout info 2025-12-04T09:17:24.8461701Z ##[endgroup] 2025-12-04T09:17:24.8466213Z [command]/usr/bin/git sparse-checkout disable 2025-12-04T09:17:24.8510838Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-12-04T09:17:24.8544172Z ##[group]Checking out the ref 2025-12-04T09:17:24.8548660Z [command]/usr/bin/git checkout --progress --force ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:17:25.8801126Z Updating files: 64% (13072/20121) 2025-12-04T09:17:25.8886499Z Updating files: 65% (13079/20121) 2025-12-04T09:17:25.8973838Z Updating files: 66% (13280/20121) 2025-12-04T09:17:25.9060222Z 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You can look around, make experimental 2025-12-04T09:17:26.6547590Z changes and commit them, and you can discard any commits you make in this 2025-12-04T09:17:26.6548098Z state without impacting any branches by switching back to a branch. 2025-12-04T09:17:26.6548406Z 2025-12-04T09:17:26.6548612Z If you want to create a new branch to retain commits you create, you may 2025-12-04T09:17:26.6549098Z do so (now or later) by using -c with the switch command. Example: 2025-12-04T09:17:26.6549371Z 2025-12-04T09:17:26.6549490Z git switch -c 2025-12-04T09:17:26.6549762Z 2025-12-04T09:17:26.6549914Z Or undo this operation with: 2025-12-04T09:17:26.6550173Z 2025-12-04T09:17:26.6550299Z git switch - 2025-12-04T09:17:26.6550496Z 2025-12-04T09:17:26.6550815Z Turn off this advice by setting config variable advice.detachedHead to false 2025-12-04T09:17:26.6551302Z 2025-12-04T09:17:26.6551658Z HEAD is now at ffd9b0fb435 Resolve collective autotuning test failure on arm (#168919) 2025-12-04T09:17:26.6735482Z ##[endgroup] 2025-12-04T09:17:26.6735909Z ##[group]Setting up auth for fetching submodules 2025-12-04T09:17:26.6742513Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-12-04T09:17:26.6800608Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-12-04T09:17:26.6834912Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-12-04T09:17:26.6869487Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-12-04T09:17:26.6901490Z ##[endgroup] 2025-12-04T09:17:26.6902812Z ##[group]Fetching submodules 2025-12-04T09:17:26.6905139Z [command]/usr/bin/git submodule sync --recursive 2025-12-04T09:17:26.7317159Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-12-04T09:17:26.7718634Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-12-04T09:17:26.7721205Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-12-04T09:17:26.7725184Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-12-04T09:17:26.7729329Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-12-04T09:17:26.7737700Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-12-04T09:17:26.7739083Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-12-04T09:17:26.7743495Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-12-04T09:17:26.7747797Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-12-04T09:17:26.7752500Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-12-04T09:17:26.7757269Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-12-04T09:17:26.7762092Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-12-04T09:17:26.7766831Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-12-04T09:17:26.7771731Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-12-04T09:17:26.7776674Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-12-04T09:17:26.7781682Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-12-04T09:17:26.7787668Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-12-04T09:17:26.7796904Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-12-04T09:17:26.7802061Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-12-04T09:17:26.7807374Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-12-04T09:17:26.7812557Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-12-04T09:17:26.7818143Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-12-04T09:17:26.7823528Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-12-04T09:17:26.7829164Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-12-04T09:17:26.7834791Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-12-04T09:17:26.7840860Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-12-04T09:17:26.7846543Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-12-04T09:17:26.7852714Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-12-04T09:17:26.7858759Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-12-04T09:17:26.7865336Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-12-04T09:17:26.7871126Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-12-04T09:17:26.7885473Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-12-04T09:17:26.7886570Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-12-04T09:17:26.7891105Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-12-04T09:17:26.7900957Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-12-04T09:17:26.7907547Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-12-04T09:17:26.7913992Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-12-04T09:17:26.7921018Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-12-04T09:17:26.7961094Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-12-04T09:17:27.0565369Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-12-04T09:17:27.0566086Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-12-04T09:17:27.0566797Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-12-04T09:17:27.0608988Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2025-12-04T09:17:30.0382900Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-12-04T09:17:30.0384301Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-12-04T09:17:30.0386175Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2025-12-04T09:17:30.0387390Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-12-04T09:17:30.0388811Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-12-04T09:17:30.0389851Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-12-04T09:17:30.0390857Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-12-04T09:17:30.0391941Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2025-12-04T09:17:30.0392994Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-12-04T09:17:30.0394050Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-12-04T09:17:30.0395111Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-12-04T09:17:30.0396135Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-12-04T09:17:30.0397249Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-12-04T09:17:30.0398385Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-12-04T09:17:30.0399465Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2025-12-04T09:17:30.0400582Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-12-04T09:17:30.0488479Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-12-04T09:17:30.2248406Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-12-04T09:17:30.2249961Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-12-04T09:17:30.3275643Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-12-04T09:17:31.0056004Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-12-04T09:17:31.1056319Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-12-04T09:17:33.1527708Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-12-04T09:17:33.1530711Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-12-04T09:17:33.1531980Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-12-04T09:17:33.1533409Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-12-04T09:17:33.2528844Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-12-04T09:17:51.4664819Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-12-04T09:17:51.4665575Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-12-04T09:17:51.4666291Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-12-04T09:17:51.4666984Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-12-04T09:17:51.4667655Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-12-04T09:17:51.4883139Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-12-04T09:17:51.5059000Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-12-04T09:17:51.5197648Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-12-04T09:17:51.5546414Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-12-04T09:17:51.6626672Z Submodule path 'third_party/NVTX': checked out '3ebbc93ded7285963bff932c678fa367eb393ba6' 2025-12-04T09:17:51.7285964Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-12-04T09:17:52.7214856Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-12-04T09:17:52.9484330Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-12-04T09:17:52.9510840Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T09:17:52.9546352Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-12-04T09:17:58.3099776Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-12-04T09:17:58.3428978Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-12-04T09:17:58.8213560Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-12-04T09:17:58.8858762Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-12-04T09:17:59.0057466Z Submodule path 'third_party/cpuinfo': checked out 'f858c30bcb16f8effd5ff46996f0514539e17abc' 2025-12-04T09:17:59.0698451Z Submodule path 'third_party/cudnn_frontend': checked out '0b1577c8c83401237d601d0d0db5210506705396' 2025-12-04T09:17:59.9087026Z Submodule path 'third_party/cutlass': checked out 'f88806b1e31dfa579842638740216dd41fc6c588' 2025-12-04T09:18:00.1155425Z Submodule path 'third_party/fbgemm': checked out 'c0b988d39a9e47c794d699f29930ed4d7c7e13a4' 2025-12-04T09:18:00.1185020Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-12-04T09:18:00.1187970Z Submodule 'external/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-12-04T09:18:00.1192093Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-12-04T09:18:00.1196329Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-12-04T09:18:00.1200377Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-12-04T09:18:00.1204622Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-12-04T09:18:00.1209291Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-12-04T09:18:00.1244621Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-12-04T09:18:01.4103624Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-12-04T09:18:01.4104999Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-12-04T09:18:01.4106286Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-12-04T09:18:01.5104768Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-12-04T09:18:05.1592981Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-12-04T09:18:05.2594219Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-12-04T09:18:07.9198579Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-12-04T09:18:08.3964456Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-12-04T09:18:08.5185767Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-12-04T09:18:09.3364149Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '98125ce499b0fdf7ffbe0e3052f5b8709f4840f8' 2025-12-04T09:18:09.3928642Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T09:18:09.4089940Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-12-04T09:18:09.5427115Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-12-04T09:18:09.6398035Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-12-04T09:18:09.6421274Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T09:18:09.6424484Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-12-04T09:18:09.6458607Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-12-04T09:18:14.4462622Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-12-04T09:18:14.7827143Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-12-04T09:18:15.5077149Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-12-04T09:18:15.6974238Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-12-04T09:18:15.7354624Z Submodule path 'third_party/fmt': checked out '407c905e45ad75fc29bf0f9bb7c5c2fd3475976f' 2025-12-04T09:18:15.7843194Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-12-04T09:18:15.8206024Z Submodule path 'third_party/gloo': checked out '54cbae0d3a67fa890b4c3d9ee162b7860315e341' 2025-12-04T09:18:15.8773146Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T09:18:15.8959465Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-12-04T09:18:15.8985505Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-12-04T09:18:15.9018791Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-12-04T09:18:31.8503818Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-12-04T09:18:31.8790473Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-12-04T09:18:31.9823258Z Submodule path 'third_party/kineto': checked out '31f85df8fbd89c188f14ef10f1ec65379786b943' 2025-12-04T09:18:31.9852238Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T09:18:31.9855157Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T09:18:31.9859088Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T09:18:31.9896105Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-12-04T09:18:33.0083592Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-12-04T09:18:33.5429881Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-12-04T09:18:33.6537861Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out 'd2ffe0a4e3acace628db49974246b66fc3e85fb1' 2025-12-04T09:18:33.6564096Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T09:18:33.6567674Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T09:18:33.6571805Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T09:18:33.6576032Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T09:18:33.6580571Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T09:18:33.6585002Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T09:18:33.6589550Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T09:18:33.6594327Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T09:18:33.6599141Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T09:18:33.6637847Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-12-04T09:18:35.5758170Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-12-04T09:18:35.5759644Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-12-04T09:18:35.5760735Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'... 2025-12-04T09:18:35.5761820Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-12-04T09:18:35.5762995Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-12-04T09:18:35.5764038Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-12-04T09:18:35.5765080Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-12-04T09:18:35.6759126Z Cloning 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'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T09:19:04.7617027Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url" 2025-12-04T09:19:04.8010443Z Entering 'android/libs/fbjni' 2025-12-04T09:19:04.8079992Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-12-04T09:19:04.8106487Z Entering 'third_party/FP16' 2025-12-04T09:19:04.8176691Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-12-04T09:19:04.8202028Z Entering 'third_party/FXdiv' 2025-12-04T09:19:04.8276427Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-12-04T09:19:04.8305323Z Entering 'third_party/NNPACK' 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'third_party/composable_kernel' 2025-12-04T09:19:05.8222354Z Entering 'third_party/cpp-httplib' 2025-12-04T09:19:05.8281341Z Entering 'third_party/cpuinfo' 2025-12-04T09:19:05.8344638Z Entering 'third_party/cudnn_frontend' 2025-12-04T09:19:05.8404571Z Entering 'third_party/cutlass' 2025-12-04T09:19:05.8471974Z Entering 'third_party/fbgemm' 2025-12-04T09:19:05.8532931Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T09:19:05.8590340Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T09:19:05.8663702Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T09:19:05.8722023Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T09:19:05.8791924Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T09:19:05.8848451Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T09:19:05.8906854Z Entering 'third_party/fbgemm/external/json' 2025-12-04T09:19:05.8974960Z Entering 'third_party/flash-attention' 2025-12-04T09:19:05.9035097Z Entering 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2025-12-04T09:19:05.9905598Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T09:19:05.9965233Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T09:19:06.0021653Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T09:19:06.0082698Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T09:19:06.0139606Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T09:19:06.0195579Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T09:19:06.0252538Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T09:19:06.0308299Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T09:19:06.0362463Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:19:06.0424125Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:19:06.0492433Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T09:19:06.0549703Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T09:19:06.0609788Z Entering 'third_party/kleidiai' 2025-12-04T09:19:06.0668666Z Entering 'third_party/mimalloc' 2025-12-04T09:19:06.0738184Z Entering 'third_party/nlohmann' 2025-12-04T09:19:06.0797365Z Entering 'third_party/onnx' 2025-12-04T09:19:06.0873454Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T09:19:06.0938186Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T09:19:06.0997793Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T09:19:06.1054915Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T09:19:06.1111626Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T09:19:06.1167365Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T09:19:06.1225631Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T09:19:06.1286014Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T09:19:06.1344351Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T09:19:06.1401117Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:19:06.1460102Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:19:06.1523036Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T09:19:06.1603052Z Entering 'third_party/pocketfft' 2025-12-04T09:19:06.1662347Z Entering 'third_party/protobuf' 2025-12-04T09:19:06.1724252Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T09:19:06.1784120Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T09:19:06.1846743Z Entering 'third_party/psimd' 2025-12-04T09:19:06.1909458Z Entering 'third_party/pthreadpool' 2025-12-04T09:19:06.1972546Z Entering 'third_party/pybind11' 2025-12-04T09:19:06.2037341Z Entering 'third_party/python-peachpy' 2025-12-04T09:19:06.2104417Z Entering 'third_party/sleef' 2025-12-04T09:19:06.2165549Z Entering 'third_party/tensorpipe' 2025-12-04T09:19:06.2225347Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T09:19:06.2291954Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T09:19:06.2350463Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T09:19:06.2408584Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T09:19:06.2463023Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T09:19:06.2554729Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-12-04T09:19:06.2962037Z Entering 'android/libs/fbjni' 2025-12-04T09:19:06.3025070Z Entering 'third_party/FP16' 2025-12-04T09:19:06.3087563Z Entering 'third_party/FXdiv' 2025-12-04T09:19:06.3147856Z Entering 'third_party/NNPACK' 2025-12-04T09:19:06.3217340Z Entering 'third_party/NVTX' 2025-12-04T09:19:06.3282763Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T09:19:06.3346066Z Entering 'third_party/XNNPACK' 2025-12-04T09:19:06.3427661Z Entering 'third_party/aiter' 2025-12-04T09:19:06.3490093Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T09:19:06.3560910Z Entering 'third_party/benchmark' 2025-12-04T09:19:06.3623727Z Entering 'third_party/composable_kernel' 2025-12-04T09:19:06.3694533Z Entering 'third_party/cpp-httplib' 2025-12-04T09:19:06.3766730Z Entering 'third_party/cpuinfo' 2025-12-04T09:19:06.3830364Z Entering 'third_party/cudnn_frontend' 2025-12-04T09:19:06.3890316Z Entering 'third_party/cutlass' 2025-12-04T09:19:06.3959360Z Entering 'third_party/fbgemm' 2025-12-04T09:19:06.4019298Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T09:19:06.4083925Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T09:19:06.4153742Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T09:19:06.4216878Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T09:19:06.4291392Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T09:19:06.4350692Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T09:19:06.4408798Z Entering 'third_party/fbgemm/external/json' 2025-12-04T09:19:06.4471036Z Entering 'third_party/flash-attention' 2025-12-04T09:19:06.4532528Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T09:19:06.4608660Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T09:19:06.4681671Z Entering 'third_party/flatbuffers' 2025-12-04T09:19:06.4757497Z Entering 'third_party/fmt' 2025-12-04T09:19:06.4823277Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T09:19:06.4887959Z Entering 'third_party/gloo' 2025-12-04T09:19:06.4954015Z Entering 'third_party/googletest' 2025-12-04T09:19:06.5022130Z Entering 'third_party/ideep' 2025-12-04T09:19:06.5083592Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T09:19:06.5153934Z Entering 'third_party/ittapi' 2025-12-04T09:19:06.5221002Z Entering 'third_party/kineto' 2025-12-04T09:19:06.5281342Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T09:19:06.5341673Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T09:19:06.5410018Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T09:19:06.5470743Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T09:19:06.5531303Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T09:19:06.5591553Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T09:19:06.5667094Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T09:19:06.5726583Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T09:19:06.5786973Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T09:19:06.5847623Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T09:19:06.5906381Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T09:19:06.5964249Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:19:06.6028768Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:19:06.6097015Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T09:19:06.6153488Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T09:19:06.6223119Z Entering 'third_party/kleidiai' 2025-12-04T09:19:06.6285284Z Entering 'third_party/mimalloc' 2025-12-04T09:19:06.6345961Z Entering 'third_party/nlohmann' 2025-12-04T09:19:06.6416896Z Entering 'third_party/onnx' 2025-12-04T09:19:06.6492190Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T09:19:06.6556843Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T09:19:06.6617051Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T09:19:06.6675200Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T09:19:06.6731811Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T09:19:06.6787418Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T09:19:06.6847986Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T09:19:06.6904167Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T09:19:06.6961056Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T09:19:06.7016576Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:19:06.7079335Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:19:06.7142150Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T09:19:06.7223746Z Entering 'third_party/pocketfft' 2025-12-04T09:19:06.7284344Z Entering 'third_party/protobuf' 2025-12-04T09:19:06.7346881Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T09:19:06.7403337Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T09:19:06.7469289Z Entering 'third_party/psimd' 2025-12-04T09:19:06.7530971Z Entering 'third_party/pthreadpool' 2025-12-04T09:19:06.7593270Z Entering 'third_party/pybind11' 2025-12-04T09:19:06.7654515Z Entering 'third_party/python-peachpy' 2025-12-04T09:19:06.7715441Z Entering 'third_party/sleef' 2025-12-04T09:19:06.7776358Z Entering 'third_party/tensorpipe' 2025-12-04T09:19:06.7838522Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T09:19:06.7899860Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T09:19:06.7956053Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T09:19:06.8013262Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T09:19:06.8067431Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T09:19:06.8151399Z ##[endgroup] 2025-12-04T09:19:06.8200976Z [command]/usr/bin/git log -1 --format=%H 2025-12-04T09:19:06.8234731Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:19:06.8366689Z ##[group]Run cd "${GITHUB_WORKSPACE}" 2025-12-04T09:19:06.8367025Z cd "${GITHUB_WORKSPACE}" 2025-12-04T09:19:06.8367319Z # Clean stale submodule dirs 2025-12-04T09:19:06.8367621Z if [ -z "${NO_SUDO}" ]; then 2025-12-04T09:19:06.8367989Z  sudo git submodule foreach --recursive git clean -ffdx 2025-12-04T09:19:06.8368363Z else 2025-12-04T09:19:06.8368659Z  git submodule foreach --recursive git clean -ffdx 2025-12-04T09:19:06.8369016Z fi 2025-12-04T09:19:06.8379948Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:19:06.8380295Z env: 2025-12-04T09:19:06.8380498Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:19:06.8380739Z NO_SUDO: true 2025-12-04T09:19:06.8380958Z ##[endgroup] 2025-12-04T09:19:06.8807736Z Entering 'android/libs/fbjni' 2025-12-04T09:19:06.8856071Z Entering 'third_party/FP16' 2025-12-04T09:19:06.8902327Z Entering 'third_party/FXdiv' 2025-12-04T09:19:06.8947431Z Entering 'third_party/NNPACK' 2025-12-04T09:19:06.8998951Z Entering 'third_party/NVTX' 2025-12-04T09:19:06.9054103Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T09:19:06.9101825Z Entering 'third_party/XNNPACK' 2025-12-04T09:19:06.9262205Z Entering 'third_party/aiter' 2025-12-04T09:19:06.9322468Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T09:19:06.9473762Z Entering 'third_party/benchmark' 2025-12-04T09:19:06.9523143Z Entering 'third_party/composable_kernel' 2025-12-04T09:19:06.9687261Z Entering 'third_party/cpp-httplib' 2025-12-04T09:19:06.9735919Z Entering 'third_party/cpuinfo' 2025-12-04T09:19:06.9788393Z Entering 'third_party/cudnn_frontend' 2025-12-04T09:19:06.9839925Z Entering 'third_party/cutlass' 2025-12-04T09:19:06.9977449Z Entering 'third_party/fbgemm' 2025-12-04T09:19:07.0061621Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T09:19:07.0106176Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T09:19:07.0265772Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T09:19:07.0316592Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T09:19:07.0449691Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T09:19:07.0497906Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T09:19:07.0541065Z Entering 'third_party/fbgemm/external/json' 2025-12-04T09:19:07.0605808Z Entering 'third_party/flash-attention' 2025-12-04T09:19:07.0662794Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T09:19:07.0797686Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T09:19:07.0917009Z Entering 'third_party/flatbuffers' 2025-12-04T09:19:07.1020233Z Entering 'third_party/fmt' 2025-12-04T09:19:07.1068911Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T09:19:07.1117353Z Entering 'third_party/gloo' 2025-12-04T09:19:07.1165998Z Entering 'third_party/googletest' 2025-12-04T09:19:07.1215994Z Entering 'third_party/ideep' 2025-12-04T09:19:07.1258789Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T09:19:07.1377133Z Entering 'third_party/ittapi' 2025-12-04T09:19:07.1427053Z Entering 'third_party/kineto' 2025-12-04T09:19:07.1477287Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T09:19:07.1535599Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T09:19:07.1598935Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T09:19:07.1643552Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T09:19:07.1690186Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T09:19:07.1730212Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T09:19:07.1779380Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T09:19:07.1823590Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T09:19:07.1870197Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T09:19:07.1928982Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T09:19:07.1972205Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T09:19:07.2016595Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:19:07.2087102Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:19:07.2144518Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T09:19:07.2189582Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T09:19:07.2244583Z Entering 'third_party/kleidiai' 2025-12-04T09:19:07.2301807Z Entering 'third_party/mimalloc' 2025-12-04T09:19:07.2351042Z Entering 'third_party/nlohmann' 2025-12-04T09:19:07.2419263Z Entering 'third_party/onnx' 2025-12-04T09:19:07.2892770Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T09:19:07.2949776Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T09:19:07.3028185Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T09:19:07.3076424Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T09:19:07.3123086Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T09:19:07.3165532Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T09:19:07.3224546Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T09:19:07.3268287Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T09:19:07.3317982Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T09:19:07.3361903Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:19:07.3429242Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:19:07.3480943Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T09:19:07.3840876Z Entering 'third_party/pocketfft' 2025-12-04T09:19:07.3887697Z Entering 'third_party/protobuf' 2025-12-04T09:19:07.3995901Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T09:19:07.4043292Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T09:19:07.4096848Z Entering 'third_party/psimd' 2025-12-04T09:19:07.4142055Z Entering 'third_party/pthreadpool' 2025-12-04T09:19:07.4184711Z Entering 'third_party/pybind11' 2025-12-04T09:19:07.4235022Z Entering 'third_party/python-peachpy' 2025-12-04T09:19:07.4281684Z Entering 'third_party/sleef' 2025-12-04T09:19:07.4330897Z Entering 'third_party/tensorpipe' 2025-12-04T09:19:07.4379355Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T09:19:07.4425190Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T09:19:07.4468023Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T09:19:07.4518442Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T09:19:07.4565101Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T09:19:07.4750650Z Prepare all required actions 2025-12-04T09:19:07.4751227Z Getting action download info 2025-12-04T09:19:07.6336757Z ##[group]Run ./.github/actions/setup-linux 2025-12-04T09:19:07.6337043Z env: 2025-12-04T09:19:07.6337249Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:19:07.6337506Z ##[endgroup] 2025-12-04T09:19:07.6374292Z ##[group]Run set -euo pipefail 2025-12-04T09:19:07.6374606Z set -euo pipefail 2025-12-04T09:19:07.6374883Z function get_ec2_metadata() { 2025-12-04T09:19:07.6375240Z  # Pulled from instance metadata endpoint for EC2 2025-12-04T09:19:07.6375816Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-12-04T09:19:07.6376518Z  category=$1 2025-12-04T09:19:07.6376857Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-12-04T09:19:07.6377271Z  runner_name_str=i-0685a2a28d389e1fa 2025-12-04T09:19:07.6377614Z  if [[ -f /.inarc ]]; then 2025-12-04T09:19:07.6377938Z  echo "ARC Runner, no info on ec2 metadata" 2025-12-04T09:19:07.6378365Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-12-04T09:19:07.6378803Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-12-04T09:19:07.6379210Z  else 2025-12-04T09:19:07.6379989Z  curl -H "X-aws-ec2-metadata-token: $(curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 30")" -fsSL "http://169.254.169.254/latest/meta-data/${category}" 2025-12-04T09:19:07.6380810Z  fi 2025-12-04T09:19:07.6381018Z } 2025-12-04T09:19:07.6381270Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-12-04T09:19:07.6381676Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-12-04T09:19:07.6382138Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-12-04T09:19:07.6382544Z echo "system info $(uname -a)" 2025-12-04T09:19:07.6392188Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:19:07.6392537Z env: 2025-12-04T09:19:07.6392752Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:19:07.6392998Z ##[endgroup] 2025-12-04T09:19:07.6569876Z ami-id: ami-08982f1c5bf93d976 2025-12-04T09:19:07.6696130Z instance-id: i-0685a2a28d389e1fa 2025-12-04T09:19:07.6822574Z instance-type: g5.4xlarge 2025-12-04T09:19:07.6838482Z system info Linux ip-10-0-70-39.ec2.internal 6.1.150-174.273.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Sep 9 12:21:26 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux 2025-12-04T09:19:07.6861132Z ##[group]Run if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi 2025-12-04T09:19:07.6861586Z if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi 2025-12-04T09:19:07.6871520Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:19:07.6871878Z env: 2025-12-04T09:19:07.6872080Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:19:07.6872328Z ##[endgroup] 2025-12-04T09:19:09.2955478Z Thu Dec 4 09:19:09 2025 2025-12-04T09:19:09.2955943Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:19:09.2956512Z | NVIDIA-SMI 580.82.07 Driver Version: 580.82.07 CUDA Version: 13.0 | 2025-12-04T09:19:09.2957073Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:19:09.2957647Z | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-12-04T09:19:09.2958287Z | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | 2025-12-04T09:19:09.2958717Z | | | MIG M. | 2025-12-04T09:19:09.2959067Z |=========================================+========================+======================| 2025-12-04T09:19:09.3054174Z | 0 NVIDIA A10G Off | 00000000:00:1E.0 Off | 0 | 2025-12-04T09:19:09.3055005Z | 0% 25C P0 53W / 300W | 0MiB / 23028MiB | 3% Default | 2025-12-04T09:19:09.3055399Z | | | N/A | 2025-12-04T09:19:09.3055797Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:19:09.3056113Z 2025-12-04T09:19:09.3056317Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:19:09.3056813Z | Processes: | 2025-12-04T09:19:09.3057311Z | GPU GI CI PID Type Process name GPU Memory | 2025-12-04T09:19:09.3057894Z | ID ID Usage | 2025-12-04T09:19:09.3058251Z |=========================================================================================| 2025-12-04T09:19:09.3060008Z | No running processes found | 2025-12-04T09:19:09.3060552Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:19:09.7308139Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:19:09.7309009Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:19:09.7322979Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:19:09.7323358Z env: 2025-12-04T09:19:09.7323579Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:19:09.7323844Z ##[endgroup] 2025-12-04T09:19:09.7387280Z ##[group]Run if systemctl is-active --quiet docker; then 2025-12-04T09:19:09.7387690Z if systemctl is-active --quiet docker; then 2025-12-04T09:19:09.7388058Z  echo "Docker daemon is running..."; 2025-12-04T09:19:09.7388605Z else 2025-12-04T09:19:09.7388942Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-12-04T09:19:09.7389332Z fi 2025-12-04T09:19:09.7397991Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:19:09.7398350Z env: 2025-12-04T09:19:09.7398556Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:19:09.7398812Z ##[endgroup] 2025-12-04T09:19:09.7495672Z Docker daemon is running... 2025-12-04T09:19:09.7536899Z ##[group]Run nick-fields/retry@v3.0.0 2025-12-04T09:19:09.7537193Z with: 2025-12-04T09:19:09.7537393Z shell: bash 2025-12-04T09:19:09.7537599Z timeout_minutes: 5 2025-12-04T09:19:09.7537831Z max_attempts: 3 2025-12-04T09:19:09.7538073Z retry_wait_seconds: 30 2025-12-04T09:19:09.7540139Z command: AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\") aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" # For LF Runners we need to make sure we also login to Meta's ECR docker registry too. META_AWS_ACCOUNT_ID=308535385114 if [ "$AWS_ACCOUNT_ID" != "$META_AWS_ACCOUNT_ID" ] ; then aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$META_AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" fi 2025-12-04T09:19:09.7542186Z polling_interval_seconds: 1 2025-12-04T09:19:09.7542464Z warning_on_retry: true 2025-12-04T09:19:09.7542707Z continue_on_error: false 2025-12-04T09:19:09.7542946Z env: 2025-12-04T09:19:09.7543148Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:19:09.7543403Z AWS_RETRY_MODE: standard 2025-12-04T09:19:09.7543646Z AWS_MAX_ATTEMPTS: 5 2025-12-04T09:19:09.7543899Z AWS_DEFAULT_REGION: us-east-1 2025-12-04T09:19:09.7544156Z ##[endgroup] 2025-12-04T09:19:10.9325617Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T09:19:10.9326465Z Configure a credential helper to remove this warning. See 2025-12-04T09:19:10.9327104Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T09:19:10.9327467Z 2025-12-04T09:19:10.9327568Z Login Succeeded 2025-12-04T09:19:11.8408005Z Command completed after 1 attempt(s). 2025-12-04T09:19:11.8476885Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:19:11.8477369Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:19:11.8477807Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:19:11.8488065Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:19:11.8488921Z env: 2025-12-04T09:19:11.8489350Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:19:11.8489604Z ##[endgroup] 2025-12-04T09:19:11.8589723Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T09:19:11.8590245Z # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T09:19:11.8590658Z # shellcheck disable=SC2046 2025-12-04T09:19:11.8590984Z docker stop $(docker ps -q) || true 2025-12-04T09:19:11.8591310Z # Prune all of the docker images 2025-12-04T09:19:11.8591615Z docker system prune -af 2025-12-04T09:19:11.8600368Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:19:11.8600714Z env: 2025-12-04T09:19:11.8600913Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:19:11.8601160Z ##[endgroup] 2025-12-04T09:19:11.8906441Z "docker stop" requires at least 1 argument. 2025-12-04T09:19:11.8906820Z See 'docker stop --help'. 2025-12-04T09:19:11.8906992Z 2025-12-04T09:19:11.8907148Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-12-04T09:19:11.8907442Z 2025-12-04T09:19:11.8907549Z Stop one or more running containers 2025-12-04T09:19:11.9250673Z Total reclaimed space: 0B 2025-12-04T09:19:11.9447337Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-12-04T09:19:11.9447765Z with: 2025-12-04T09:19:11.9448496Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:19:11.9449323Z use-custom-docker-registry: true 2025-12-04T09:19:11.9449622Z docker-build-dir: .ci/docker 2025-12-04T09:19:11.9449903Z docker-build-script: ./build.sh 2025-12-04T09:19:11.9450186Z working-directory: . 2025-12-04T09:19:11.9450513Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:19:11.9450891Z force-push: false 2025-12-04T09:19:11.9451112Z env: 2025-12-04T09:19:11.9451309Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:19:11.9451555Z ##[endgroup] 2025-12-04T09:19:11.9469862Z ##[group]Run set -ex 2025-12-04T09:19:11.9470159Z set -ex 2025-12-04T09:19:11.9470369Z  2025-12-04T09:19:11.9470778Z # If the docker build directory or the build script doesn't exist, the action will 2025-12-04T09:19:11.9471394Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-12-04T09:19:11.9471918Z # job could then download the pre-built image as usual 2025-12-04T09:19:11.9472560Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-12-04T09:19:11.9473155Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-12-04T09:19:11.9473456Z else 2025-12-04T09:19:11.9473709Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-12-04T09:19:11.9474131Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:19:11.9474511Z  2025-12-04T09:19:11.9475017Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-12-04T09:19:11.9475608Z  exit 0 2025-12-04T09:19:11.9475817Z fi 2025-12-04T09:19:11.9476008Z  2025-12-04T09:19:11.9476324Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-12-04T09:19:11.9476874Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-12-04T09:19:11.9477368Z  # use it as it is, but first let's extract the tag 2025-12-04T09:19:11.9477808Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-12-04T09:19:11.9478378Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:19:11.9478831Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:19:11.9479212Z else 2025-12-04T09:19:11.9479457Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-12-04T09:19:11.9479993Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-12-04T09:19:11.9480361Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-12-04T09:19:11.9480664Z  fi 2025-12-04T09:19:11.9481077Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-12-04T09:19:11.9481648Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:19:11.9482237Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:19:11.9482879Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:19:11.9483267Z fi 2025-12-04T09:19:11.9493003Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:19:11.9493340Z env: 2025-12-04T09:19:11.9493547Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:19:11.9493802Z REPO_NAME: pytorch 2025-12-04T09:19:11.9494733Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:19:11.9495533Z DOCKER_BUILD_DIR: .ci/docker 2025-12-04T09:19:11.9495810Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-12-04T09:19:11.9496164Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:19:11.9496532Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-12-04T09:19:11.9496808Z CUSTOM_TAG_PREFIX: 2025-12-04T09:19:11.9497039Z ##[endgroup] 2025-12-04T09:19:11.9528406Z + [[ -d .ci/docker ]] 2025-12-04T09:19:11.9528858Z + [[ -f .ci/docker/./build.sh ]] 2025-12-04T09:19:11.9529156Z + [[ true == \t\r\u\e ]] 2025-12-04T09:19:11.9529389Z + echo skip=false 2025-12-04T09:19:11.9530376Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a == *\3\0\8\5\3\5\3\8\5\1\1\4\.\d\k\r\.\e\c\r\.\u\s\-\e\a\s\t\-\1\.\a\m\a\z\o\n\a\w\s\.\c\o\m\/\p\y\t\o\r\c\h* ]] 2025-12-04T09:19:11.9537514Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:19:11.9538298Z ++ awk -F '[:,]' '{print $2}' 2025-12-04T09:19:11.9571427Z + DOCKER_TAG=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:19:11.9572315Z + echo docker-tag=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:19:11.9573422Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:19:11.9600684Z ##[group]Run set +e 2025-12-04T09:19:11.9600963Z set +e 2025-12-04T09:19:11.9601174Z set -x 2025-12-04T09:19:11.9601390Z  2025-12-04T09:19:11.9601592Z login() { 2025-12-04T09:19:11.9602030Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-12-04T09:19:11.9602531Z } 2025-12-04T09:19:11.9602741Z  2025-12-04T09:19:11.9602929Z retry () { 2025-12-04T09:19:11.9603189Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-12-04T09:19:11.9603487Z } 2025-12-04T09:19:11.9603679Z  2025-12-04T09:19:11.9603908Z retry login "${DOCKER_REGISTRY}" 2025-12-04T09:19:11.9604201Z  2025-12-04T09:19:11.9604408Z START_TIME=$(date +%s) 2025-12-04T09:19:11.9604680Z # Wait up to 120 minutes 2025-12-04T09:19:11.9605023Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-12-04T09:19:11.9605478Z  # Check if image already exists, if it does then skip building it 2025-12-04T09:19:11.9605931Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-12-04T09:19:11.9606273Z  exit 0 2025-12-04T09:19:11.9606496Z  fi 2025-12-04T09:19:11.9606869Z  2025-12-04T09:19:11.9607235Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-12-04T09:19:11.9607845Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-12-04T09:19:11.9608457Z  # latter, it will wait for the Docker images to become available before continuing 2025-12-04T09:19:11.9608931Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-12-04T09:19:11.9609303Z  # It's a Docker build job, let's build the image 2025-12-04T09:19:11.9609624Z  break 2025-12-04T09:19:11.9609845Z  else 2025-12-04T09:19:11.9610153Z  # It's a regular build job, wait for the image to become available 2025-12-04T09:19:11.9610541Z  sleep 300 2025-12-04T09:19:11.9610771Z  fi 2025-12-04T09:19:11.9610964Z done 2025-12-04T09:19:11.9611170Z  2025-12-04T09:19:11.9611497Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-12-04T09:19:11.9612180Z # be empty. The default action would be to continue rebuild the image 2025-12-04T09:19:11.9612658Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-12-04T09:19:11.9613097Z  # if we're on the base branch then use the parent commit 2025-12-04T09:19:11.9613478Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-12-04T09:19:11.9613773Z else 2025-12-04T09:19:11.9614080Z  # otherwise we're on a PR, so use the most recent base commit 2025-12-04T09:19:11.9614533Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-12-04T09:19:11.9614865Z fi 2025-12-04T09:19:11.9615062Z  2025-12-04T09:19:11.9615281Z if [[ -z "${MERGE_BASE}" ]]; then 2025-12-04T09:19:11.9615622Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-12-04T09:19:11.9615926Z  2025-12-04T09:19:11.9616361Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-12-04T09:19:11.9616874Z  exit 0 2025-12-04T09:19:11.9617077Z fi 2025-12-04T09:19:11.9617275Z  2025-12-04T09:19:11.9617562Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-12-04T09:19:11.9618187Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-12-04T09:19:11.9618716Z  exit 1 2025-12-04T09:19:11.9618934Z fi 2025-12-04T09:19:11.9619131Z  2025-12-04T09:19:11.9619484Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-12-04T09:19:11.9620127Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-12-04T09:19:11.9620706Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-12-04T09:19:11.9621336Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-12-04T09:19:11.9634183Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-12-04T09:19:11.9634648Z fi 2025-12-04T09:19:11.9634841Z  2025-12-04T09:19:11.9635085Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-12-04T09:19:11.9644625Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:19:11.9644972Z env: 2025-12-04T09:19:11.9645180Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:19:11.9645434Z DOCKER_BUILD_DIR: .ci/docker 2025-12-04T09:19:11.9645756Z BASE_REVISION: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:19:11.9646611Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:19:11.9647663Z DOCKER_TAG: pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:19:11.9648391Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:19:11.9648759Z DOCKER_PUSH: 2025-12-04T09:19:11.9648978Z ##[endgroup] 2025-12-04T09:19:11.9678185Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:19:11.9678718Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:19:11.9681215Z + aws ecr get-login-password --region us-east-1 2025-12-04T09:19:11.9683159Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:19:12.4870520Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T09:19:12.4871207Z Configure a credential helper to remove this warning. See 2025-12-04T09:19:12.4871816Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T09:19:12.4872232Z 2025-12-04T09:19:12.4873705Z Login Succeeded 2025-12-04T09:19:12.4903669Z ++ date +%s 2025-12-04T09:19:12.4917154Z + START_TIME=1764839952 2025-12-04T09:19:12.4921907Z ++ date +%s 2025-12-04T09:19:12.4935424Z + [[ 1764832752 -lt 1764839952 ]] 2025-12-04T09:19:12.4936268Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:19:12.7371824Z { 2025-12-04T09:19:12.7372114Z "schemaVersion": 2, 2025-12-04T09:19:12.7372631Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-12-04T09:19:12.7373084Z "config": { 2025-12-04T09:19:12.7373399Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-12-04T09:19:12.7373780Z "size": 34864, 2025-12-04T09:19:12.7374164Z "digest": "sha256:add7313791033822205cdb3cf32096534b2cfaa4855bd48119b59000bfe00301" 2025-12-04T09:19:12.7374591Z }, 2025-12-04T09:19:12.7374777Z "layers": [ 2025-12-04T09:19:12.7374969Z { 2025-12-04T09:19:12.7375270Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:19:12.7375697Z "size": 30447951, 2025-12-04T09:19:12.7376104Z "digest": "sha256:63e5bc7682b85ae57a1221210f64d62e7a90b0a30f19af4ca734b8242ae49d63" 2025-12-04T09:19:12.7376541Z }, 2025-12-04T09:19:12.7376717Z { 2025-12-04T09:19:12.7377025Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:19:12.7377412Z "size": 1554, 2025-12-04T09:19:12.7377774Z "digest": "sha256:0678d56345c994444b77bb70b1177189d23e794748b1d75ffc45d227c7dea94a" 2025-12-04T09:19:12.7378194Z }, 2025-12-04T09:19:12.7378372Z { 2025-12-04T09:19:12.7378750Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:19:12.7379144Z "size": 313275661, 2025-12-04T09:19:12.7379592Z "digest": 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"sha256:72a7c87e35e40ab796f90aee1b51add7902f0cdc44406d2505b6c6a1f55a8da6" 2025-12-04T09:19:12.7527097Z }, 2025-12-04T09:19:12.7527268Z { 2025-12-04T09:19:12.7527560Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:19:12.7527938Z "size": 108, 2025-12-04T09:19:12.7528323Z "digest": "sha256:ec36862ac98ebaac52ee1a8b1d162d45bd0e3bf59ae7e19c8f80ad3960b4c600" 2025-12-04T09:19:12.7528860Z }, 2025-12-04T09:19:12.7529026Z { 2025-12-04T09:19:12.7529336Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:19:12.7529722Z "size": 54145699, 2025-12-04T09:19:12.7530104Z "digest": "sha256:05ddbf246e8add0e293474dbf88bb028d5a295a25ac59e8648a18db644377773" 2025-12-04T09:19:12.7530581Z }, 2025-12-04T09:19:12.7530757Z { 2025-12-04T09:19:12.7531050Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:19:12.7531428Z "size": 32, 2025-12-04T09:19:12.7531803Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T09:19:12.7532228Z } 2025-12-04T09:19:12.7532401Z ] 2025-12-04T09:19:12.7532577Z } 2025-12-04T09:19:12.7532762Z + exit 0 2025-12-04T09:19:12.7558939Z ##[group]Run set -eux 2025-12-04T09:19:12.7559199Z set -eux 2025-12-04T09:19:12.7559609Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-12-04T09:19:12.7560953Z aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token | jq --raw-output '.SecretString' | jq -r .docker_hub_readonly_token | docker login --username pytorchbot --password-stdin || true 2025-12-04T09:19:12.7571376Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:19:12.7571733Z env: 2025-12-04T09:19:12.7571933Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:19:12.7572171Z ##[endgroup] 2025-12-04T09:19:12.7607784Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-12-04T09:19:12.7609026Z + jq --raw-output .SecretString 2025-12-04T09:19:12.7609997Z + jq -r .docker_hub_readonly_token 2025-12-04T09:19:12.7612491Z + docker login --username pytorchbot --password-stdin 2025-12-04T09:19:13.3332860Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T09:19:13.3333437Z Configure a credential helper to remove this warning. See 2025-12-04T09:19:13.3333999Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T09:19:13.3334365Z 2025-12-04T09:19:13.3334707Z Login Succeeded 2025-12-04T09:19:13.3426982Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-12-04T09:19:13.3427341Z tag=${ECR_DOCKER_IMAGE##*:} 2025-12-04T09:19:13.3427720Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-12-04T09:19:13.3436962Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:19:13.3437332Z env: 2025-12-04T09:19:13.3437559Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:19:13.3438399Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:19:13.3439197Z ##[endgroup] 2025-12-04T09:19:13.3471104Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:19:13.3529129Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-12-04T09:19:13.3529553Z with: 2025-12-04T09:19:13.3530311Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:19:13.3531200Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:19:13.3531562Z env: 2025-12-04T09:19:13.3531762Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:19:13.3532003Z ##[endgroup] 2025-12-04T09:19:13.3547167Z ##[group]Run set -x 2025-12-04T09:19:13.3547420Z set -x 2025-12-04T09:19:13.3547625Z set +e 2025-12-04T09:19:13.3547832Z  2025-12-04T09:19:13.3548026Z login() { 2025-12-04T09:19:13.3548461Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-12-04T09:19:13.3548946Z } 2025-12-04T09:19:13.3549139Z  2025-12-04T09:19:13.3549363Z retry () { 2025-12-04T09:19:13.3549784Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-12-04T09:19:13.3550076Z } 2025-12-04T09:19:13.3550273Z  2025-12-04T09:19:13.3550493Z retry login "${DOCKER_REGISTRY}" 2025-12-04T09:19:13.3550773Z  2025-12-04T09:19:13.3551216Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-12-04T09:19:13.3551824Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-12-04T09:19:13.3552162Z  2025-12-04T09:19:13.3552357Z set -e 2025-12-04T09:19:13.3552677Z # ignore output since only exit code is used for conditional 2025-12-04T09:19:13.3553133Z # only pull docker image if it's not available locally 2025-12-04T09:19:13.3553627Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-12-04T09:19:13.3554095Z  retry docker pull "${DOCKER_IMAGE}" 2025-12-04T09:19:13.3554398Z fi 2025-12-04T09:19:13.3563483Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:19:13.3563840Z env: 2025-12-04T09:19:13.3564053Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:19:13.3564804Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:19:13.3565681Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:19:13.3566051Z ##[endgroup] 2025-12-04T09:19:13.3596865Z + set +e 2025-12-04T09:19:13.3597399Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:19:13.3598045Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:19:13.3601328Z + aws ecr get-login-password --region us-east-1 2025-12-04T09:19:13.3602800Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:19:13.9039649Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T09:19:13.9040267Z Configure a credential helper to remove this warning. See 2025-12-04T09:19:13.9040795Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T09:19:13.9041156Z 2025-12-04T09:19:13.9042036Z Login Succeeded 2025-12-04T09:19:13.9073395Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:19:13.9074332Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-12-04T09:19:14.1313247Z + IMAGE_SIZE=15091.581844329834 2025-12-04T09:19:14.1313703Z + echo 'Compressed size of image in MB: 15091.581844329834' 2025-12-04T09:19:14.1314047Z + set -e 2025-12-04T09:19:14.1314821Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:19:14.1316106Z Compressed size of image in MB: 15091.581844329834 2025-12-04T09:19:14.1458656Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:19:14.1459995Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:19:14.3589935Z pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a: Pulling from pytorch/ci-image 2025-12-04T09:19:14.3590940Z 63e5bc7682b8: Pulling fs layer 2025-12-04T09:19:14.3591327Z 0678d56345c9: Pulling fs layer 2025-12-04T09:19:14.3591694Z 45f5c9ddfce7: Pulling fs layer 2025-12-04T09:19:14.3592063Z 086b1df51ac1: Pulling fs layer 2025-12-04T09:19:14.3592431Z fe8a7b64bf98: Pulling fs layer 2025-12-04T09:19:14.3592803Z 7680723e9a57: Pulling fs layer 2025-12-04T09:19:14.3593161Z 9c5027aeeb4e: Pulling fs layer 2025-12-04T09:19:14.3593507Z 9a5652110360: Pulling fs layer 2025-12-04T09:19:14.3594178Z 375c4427e914: Pulling fs layer 2025-12-04T09:19:14.3594474Z a86faaa7dbdd: Pulling fs layer 2025-12-04T09:19:14.3594780Z fb7848686804: Pulling fs layer 2025-12-04T09:19:14.3595161Z 3541df015cdb: Pulling fs layer 2025-12-04T09:19:14.3595425Z 79dc80f426b2: Pulling fs layer 2025-12-04T09:19:14.3595745Z a13fcc1b90bb: Pulling fs layer 2025-12-04T09:19:14.3596111Z 4f4fb700ef54: Pulling fs layer 2025-12-04T09:19:14.3596450Z 549db4d6c618: Pulling fs layer 2025-12-04T09:19:14.3596775Z 7680723e9a57: Waiting 2025-12-04T09:19:14.3597003Z 086b1df51ac1: Waiting 2025-12-04T09:19:14.3597239Z 5c63528cb580: Pulling fs layer 2025-12-04T09:19:14.3597491Z fe8a7b64bf98: Waiting 2025-12-04T09:19:14.3597707Z 3541df015cdb: Waiting 2025-12-04T09:19:14.3598039Z 75bd83b989a4: Pulling fs layer 2025-12-04T09:19:14.3598354Z de6e78970f51: Pulling fs layer 2025-12-04T09:19:14.3598611Z 9c5027aeeb4e: Waiting 2025-12-04T09:19:14.3598849Z e13ed7c7e473: Pulling fs layer 2025-12-04T09:19:14.3599128Z 6e2949bcb741: Pulling fs layer 2025-12-04T09:19:14.3599427Z fb7848686804: Waiting 2025-12-04T09:19:14.3599755Z 14d69d9aaec7: Pulling fs layer 2025-12-04T09:19:14.3600165Z 5c02769dd8e5: Pulling fs layer 2025-12-04T09:19:14.3600551Z 79dc80f426b2: Waiting 2025-12-04T09:19:14.3600914Z 4f4fb700ef54: Waiting 2025-12-04T09:19:14.3601303Z a13fcc1b90bb: Waiting 2025-12-04T09:19:14.3601701Z 35041ce524ac: Pulling fs layer 2025-12-04T09:19:14.3602098Z 549db4d6c618: Waiting 2025-12-04T09:19:14.3602458Z 2fa92dc5885e: Pulling fs layer 2025-12-04T09:19:14.3602852Z 2b85eafbd92a: Pulling fs layer 2025-12-04T09:19:14.3603250Z ff755a4ddad7: Pulling fs layer 2025-12-04T09:19:14.3603640Z a86faaa7dbdd: Waiting 2025-12-04T09:19:14.3604014Z 09eb41bdf42d: Pulling fs layer 2025-12-04T09:19:14.3604398Z 11ede4d59e93: Pulling fs layer 2025-12-04T09:19:14.3604776Z 75bd83b989a4: Waiting 2025-12-04T09:19:14.3605033Z 1283cd8f801a: Pulling fs layer 2025-12-04T09:19:14.3605318Z 024fa855425f: Pulling fs layer 2025-12-04T09:19:14.3605567Z 5c02769dd8e5: Waiting 2025-12-04T09:19:14.3605800Z e13ed7c7e473: Waiting 2025-12-04T09:19:14.3606036Z 303e6747a62e: Pulling fs layer 2025-12-04T09:19:14.3606276Z de6e78970f51: Waiting 2025-12-04T09:19:14.3606512Z 3017cdf4838b: Pulling fs layer 2025-12-04T09:19:14.3606761Z ff755a4ddad7: Waiting 2025-12-04T09:19:14.3606983Z 09eb41bdf42d: Waiting 2025-12-04T09:19:14.3607226Z 6b6cd1c358e8: Pulling fs layer 2025-12-04T09:19:14.3607480Z 14d69d9aaec7: Waiting 2025-12-04T09:19:14.3607699Z 11ede4d59e93: Waiting 2025-12-04T09:19:14.3607934Z b2dd04501124: Pulling fs layer 2025-12-04T09:19:14.3608198Z 55adc51fe589: Pulling fs layer 2025-12-04T09:19:14.3608444Z 1283cd8f801a: Waiting 2025-12-04T09:19:14.3608665Z 5c63528cb580: Waiting 2025-12-04T09:19:14.3608885Z 303e6747a62e: Waiting 2025-12-04T09:19:14.3609096Z 6b6cd1c358e8: Waiting 2025-12-04T09:19:14.3609316Z 024fa855425f: Waiting 2025-12-04T09:19:14.3609548Z a43ca0e4b837: Pulling fs layer 2025-12-04T09:19:14.3610095Z b7212f17fd14: Pulling fs layer 2025-12-04T09:19:14.3610354Z b2dd04501124: Waiting 2025-12-04T09:19:14.3610584Z 083e42cac090: Pulling fs layer 2025-12-04T09:19:14.3610830Z b7212f17fd14: Waiting 2025-12-04T09:19:14.3611056Z 0a00b784a4aa: Pulling fs layer 2025-12-04T09:19:14.3611305Z 3017cdf4838b: Waiting 2025-12-04T09:19:14.3611520Z 9a5652110360: Waiting 2025-12-04T09:19:14.3611734Z 55adc51fe589: Waiting 2025-12-04T09:19:14.3611952Z 083e42cac090: Waiting 2025-12-04T09:19:14.3612296Z c6173c779f7b: Pulling fs layer 2025-12-04T09:19:14.3612540Z 2fa92dc5885e: Waiting 2025-12-04T09:19:14.3612761Z 35041ce524ac: Waiting 2025-12-04T09:19:14.3612992Z ed3d1e3387b9: Pulling fs layer 2025-12-04T09:19:14.3613243Z 0a00b784a4aa: Waiting 2025-12-04T09:19:14.3613469Z b29343478586: Pulling fs layer 2025-12-04T09:19:14.3613719Z a43ca0e4b837: Waiting 2025-12-04T09:19:14.3613949Z c6f0520487fb: Pulling fs layer 2025-12-04T09:19:14.3614205Z 148171691cd4: Pulling fs layer 2025-12-04T09:19:14.3614452Z ed3d1e3387b9: Waiting 2025-12-04T09:19:14.3614670Z b29343478586: Waiting 2025-12-04T09:19:14.3614985Z c6f0520487fb: Waiting 2025-12-04T09:19:14.3615214Z 2c666d30ed77: Pulling fs layer 2025-12-04T09:19:14.3615457Z 148171691cd4: Waiting 2025-12-04T09:19:14.3615691Z 5d8d3a0a98e0: Pulling fs layer 2025-12-04T09:19:14.3615939Z 2c666d30ed77: Waiting 2025-12-04T09:19:14.3616176Z b06bafce9e81: Pulling fs layer 2025-12-04T09:19:14.3616423Z 6e2949bcb741: Waiting 2025-12-04T09:19:14.3616676Z 15e0d7e4590d: Pulling fs layer 2025-12-04T09:19:14.3616931Z 5d8d3a0a98e0: Waiting 2025-12-04T09:19:14.3617148Z b06bafce9e81: Waiting 2025-12-04T09:19:14.3617391Z a514bd1add31: Pulling fs layer 2025-12-04T09:19:14.3617642Z 15e0d7e4590d: Waiting 2025-12-04T09:19:14.3617867Z 57b84ee60002: Pulling fs layer 2025-12-04T09:19:14.3618117Z a514bd1add31: Waiting 2025-12-04T09:19:14.3618356Z b8babeff6d81: Pulling fs layer 2025-12-04T09:19:14.3618616Z 57b84ee60002: Waiting 2025-12-04T09:19:14.3618841Z 83779ddf6a85: Pulling fs layer 2025-12-04T09:19:14.3619104Z 8b7620c0d736: Pulling fs layer 2025-12-04T09:19:14.3619353Z 83779ddf6a85: Waiting 2025-12-04T09:19:14.3619578Z 2b85eafbd92a: Waiting 2025-12-04T09:19:14.3619798Z 8b7620c0d736: Waiting 2025-12-04T09:19:14.3620036Z 3bcfa090e4ef: Pulling fs layer 2025-12-04T09:19:14.3620299Z eb0504ec4d92: Pulling fs layer 2025-12-04T09:19:14.3620558Z 15d0fec09d7b: Pulling fs layer 2025-12-04T09:19:14.3620814Z 3bcfa090e4ef: Waiting 2025-12-04T09:19:14.3621048Z cca81fcc62a9: Pulling fs layer 2025-12-04T09:19:14.3621303Z eb0504ec4d92: Waiting 2025-12-04T09:19:14.3621538Z b0b8f9b5c6ab: Pulling fs layer 2025-12-04T09:19:14.3621793Z 0606ca4d47a8: Pulling fs layer 2025-12-04T09:19:14.3622050Z 2f80a4e1b3b9: Pulling fs layer 2025-12-04T09:19:14.3622309Z 35c916fb1bd0: Pulling fs layer 2025-12-04T09:19:14.3622556Z 15d0fec09d7b: Waiting 2025-12-04T09:19:14.3622775Z 0606ca4d47a8: Waiting 2025-12-04T09:19:14.3623004Z 195537b7dafc: Pulling fs layer 2025-12-04T09:19:14.3623246Z b0b8f9b5c6ab: Waiting 2025-12-04T09:19:14.3623471Z cca81fcc62a9: Waiting 2025-12-04T09:19:14.3623702Z 35c916fb1bd0: Waiting 2025-12-04T09:19:14.3623934Z 2f80a4e1b3b9: Waiting 2025-12-04T09:19:14.3624162Z dc454fd3967e: Pulling fs layer 2025-12-04T09:19:14.3624423Z 701b34f115fa: Pulling fs layer 2025-12-04T09:19:14.3624685Z 39cefc00ffed: Pulling fs layer 2025-12-04T09:19:14.3624946Z 6ae51eb61a32: Pulling fs layer 2025-12-04T09:19:14.3625207Z 1fd5341e66df: Pulling fs layer 2025-12-04T09:19:14.3625466Z 72a7c87e35e4: Pulling fs layer 2025-12-04T09:19:14.3625707Z 195537b7dafc: Waiting 2025-12-04T09:19:14.3625997Z 39cefc00ffed: Waiting 2025-12-04T09:19:14.3626237Z ec36862ac98e: Pulling fs layer 2025-12-04T09:19:14.3626494Z 05ddbf246e8a: Pulling fs layer 2025-12-04T09:19:14.3626747Z 1fd5341e66df: Waiting 2025-12-04T09:19:14.3626972Z 6ae51eb61a32: Waiting 2025-12-04T09:19:14.3627188Z 701b34f115fa: Waiting 2025-12-04T09:19:14.3627412Z dc454fd3967e: Waiting 2025-12-04T09:19:14.3627637Z 05ddbf246e8a: Waiting 2025-12-04T09:19:14.3627852Z ec36862ac98e: Waiting 2025-12-04T09:19:14.3628070Z 72a7c87e35e4: Waiting 2025-12-04T09:19:14.4493214Z 0678d56345c9: Verifying Checksum 2025-12-04T09:19:14.4493585Z 0678d56345c9: Download complete 2025-12-04T09:19:14.5183024Z 086b1df51ac1: Download complete 2025-12-04T09:19:14.5888784Z fe8a7b64bf98: Download complete 2025-12-04T09:19:14.6595219Z 7680723e9a57: Download complete 2025-12-04T09:19:14.7077096Z 63e5bc7682b8: Verifying Checksum 2025-12-04T09:19:14.7077466Z 63e5bc7682b8: Download complete 2025-12-04T09:19:14.7383261Z 9c5027aeeb4e: Verifying Checksum 2025-12-04T09:19:14.7383693Z 9c5027aeeb4e: Download complete 2025-12-04T09:19:14.7969199Z 9a5652110360: Verifying Checksum 2025-12-04T09:19:14.7969669Z 9a5652110360: Download complete 2025-12-04T09:19:14.8834531Z a86faaa7dbdd: Download complete 2025-12-04T09:19:14.9685523Z fb7848686804: Verifying Checksum 2025-12-04T09:19:14.9685990Z 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308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:24:17.4266521Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:24:17.4354392Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:24:17.4355462Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:24:17.4368403Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:24:17.4368763Z env: 2025-12-04T09:24:17.4368970Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:24:17.4369222Z ##[endgroup] 2025-12-04T09:24:17.4546558Z ##[group]Run pytorch/test-infra/.github/actions/setup-nvidia@main 2025-12-04T09:24:17.4546944Z with: 2025-12-04T09:24:17.4547163Z driver-version: 580.82.07 2025-12-04T09:24:17.4547405Z env: 2025-12-04T09:24:17.4547605Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:24:17.4547848Z ##[endgroup] 2025-12-04T09:24:17.4594287Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:24:17.4595122Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:24:17.4604843Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:24:17.4605194Z env: 2025-12-04T09:24:17.4605393Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:24:17.4605832Z ##[endgroup] 2025-12-04T09:24:17.4660797Z ##[group]Run set -euo pipefail 2025-12-04T09:24:17.4661107Z set -euo pipefail 2025-12-04T09:24:17.4661400Z  2025-12-04T09:24:17.4661607Z has_gpu=false 2025-12-04T09:24:17.4661858Z devices="" 2025-12-04T09:24:17.4662088Z  2025-12-04T09:24:17.4662361Z if command -v nvidia-smi >/dev/null 2>&1; then 2025-12-04T09:24:17.4662845Z  if nvidia-smi -L >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T09:24:17.4663207Z  has_gpu=true 2025-12-04T09:24:17.4663486Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T09:24:17.4663780Z  fi 2025-12-04T09:24:17.4663983Z fi 2025-12-04T09:24:17.4664176Z  2025-12-04T09:24:17.4664383Z if [ "$has_gpu" = false ]; then 2025-12-04T09:24:17.4664790Z  if ls /dev/nvidia* >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T09:24:17.4665149Z  has_gpu=true 2025-12-04T09:24:17.4665433Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T09:24:17.4665723Z  fi 2025-12-04T09:24:17.4665919Z fi 2025-12-04T09:24:17.4666114Z  2025-12-04T09:24:17.4666401Z if [ "$has_gpu" = false ] && command -v lspci >/dev/null 2>&1; then 2025-12-04T09:24:17.4666884Z  if lspci | grep -i 'nvidia' >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T09:24:17.4667274Z  has_gpu=true 2025-12-04T09:24:17.4667549Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T09:24:17.4667840Z  fi 2025-12-04T09:24:17.4668041Z fi 2025-12-04T09:24:17.4668230Z  2025-12-04T09:24:17.4668514Z printf 'HAS_NVIDIA=%s\n' "$has_gpu" >> "$GITHUB_OUTPUT" 2025-12-04T09:24:17.4669014Z printf 'DETECTED_DEVICES<> "$GITHUB_OUTPUT" 2025-12-04T09:24:17.4677374Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:24:17.4677726Z env: 2025-12-04T09:24:17.4677938Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:24:17.4678250Z ##[endgroup] 2025-12-04T09:24:19.2129033Z ##[group]Run if [ "${HAS_NVIDIA}" = "true" ]; then 2025-12-04T09:24:19.2129412Z if [ "${HAS_NVIDIA}" = "true" ]; then 2025-12-04T09:24:19.2129775Z  echo "HAS_NVIDIA_GPU=true" >> "${GITHUB_ENV}" 2025-12-04T09:24:19.2130270Z  echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-12-04T09:24:19.2130711Z else 2025-12-04T09:24:19.2130977Z  echo "HAS_NVIDIA_GPU=false" >> "${GITHUB_ENV}" 2025-12-04T09:24:19.2131303Z fi 2025-12-04T09:24:19.2142091Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:24:19.2142443Z env: 2025-12-04T09:24:19.2142656Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:24:19.2142916Z HAS_NVIDIA: true 2025-12-04T09:24:19.2143134Z ##[endgroup] 2025-12-04T09:24:19.2233945Z ##[group]Run nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482 2025-12-04T09:24:19.2234349Z with: 2025-12-04T09:24:19.2234547Z timeout_minutes: 10 2025-12-04T09:24:19.2234781Z max_attempts: 3 2025-12-04T09:24:19.2259137Z command: # Is it disgusting to have a full shell script here in this github action? Sure # But is it the best way to make it so that this action relies on nothing else? Absolutely set -eou pipefail DISTRIBUTION=$(. /etc/os-release;echo $ID$VERSION_ID) DRIVER_FN="NVIDIA-Linux-x86_64-${DRIVER_VERSION}.run" install_nvidia_docker2_amzn2() { ( set -x # Needed for yum-config-manager sudo yum install -y yum-utils if [[ "${DISTRIBUTION}" == "amzn2023" ]] ; then YUM_REPO_URL="https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo" else # Amazon Linux 2 YUM_REPO_URL="https://nvidia.github.io/nvidia-docker/${DISTRIBUTION}/nvidia-docker.repo" fi sudo yum-config-manager --add-repo "${YUM_REPO_URL}" sudo yum install -y \ nvidia-container-toolkit-1.17.8 \ libnvidia-container-tools-1.17.8 \ libnvidia-container1-1.17.8 \ nvidia-container-toolkit-base-1.17.8 sudo systemctl restart docker ) } install_nvidia_docker2_ubuntu20() { ( set -x # Install nvidia-driver package if not installed status="$(dpkg-query -W --showformat='${db:Status-Status}' nvidia-docker2 2>&1)" if [ ! $? = 0 ] || [ ! "$status" = installed ]; then sudo apt-get install -y nvidia-container-toolkit-1.17.8 sudo systemctl restart docker fi ) } pre_install_nvidia_driver_amzn2() { ( # Purge any nvidia driver installed from RHEL repo sudo yum remove -y nvidia-driver-latest-dkms ) } install_nvidia_driver_common() { ( # Try to gather more information about the runner and its existing NVIDIA driver if any echo "Before installing NVIDIA driver" lspci lsmod modinfo nvidia || true HAS_NVIDIA_DRIVER=0 # Check if NVIDIA driver has already been installed if [ -x "$(command -v nvidia-smi)" ]; then set +e # The driver exists, check its version next. Also check only the first GPU if there are more than one of them # so that the same driver version is not print over multiple lines INSTALLED_DRIVER_VERSION=$(nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0) NVIDIA_SMI_STATUS=$? if [ "$NVIDIA_SMI_STATUS" -ne 0 ] && [ "$NVIDIA_SMI_STATUS" -ne 14 ]; then echo "Failed to get NVIDIA driver version ($INSTALLED_DRIVER_VERSION). Continuing" elif [ "$INSTALLED_DRIVER_VERSION" != "$DRIVER_VERSION" ]; then echo "NVIDIA driver ($INSTALLED_DRIVER_VERSION) has been installed, but we expect to have $DRIVER_VERSION instead. Continuing" # Turn off persistent mode so that the installation script can unload the kernel module sudo killall nvidia-persistenced || true else HAS_NVIDIA_DRIVER=1 echo "NVIDIA driver ($INSTALLED_DRIVER_VERSION) has already been installed. Skipping NVIDIA driver installation" fi set -e fi if [ "$HAS_NVIDIA_DRIVER" -eq 0 ]; then # CAUTION: this may need to be updated in future if [ "${DISTRIBUTION}" != ubuntu20.04 ]; then sudo yum groupinstall -y "Development Tools" # ensure our kernel install is the same as our underlying kernel, # groupinstall "Development Tools" has a habit of mismatching kernel headers sudo yum install -y "kernel-devel-uname-r == $(uname -r)" sudo modprobe backlight fi sudo curl -fsL -o /tmp/nvidia_driver "https://s3.amazonaws.com/ossci-linux/nvidia_driver/$DRIVER_FN" set +e sudo /bin/bash /tmp/nvidia_driver -s --no-drm NVIDIA_INSTALLATION_STATUS=$? RESET_GPU=0 if [ "$NVIDIA_INSTALLATION_STATUS" -ne 0 ]; then sudo cat /var/log/nvidia-installer.log # Fail to install NVIDIA driver, try to reset the GPU RESET_GPU=1 elif [ -x "$(command -v nvidia-smi)" ]; then # Check again if nvidia-smi works even if the driver installation completes successfully INSTALLED_DRIVER_VERSION=$(nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0) NVIDIA_SMI_STATUS=$? if [ "$NVIDIA_SMI_STATUS" -ne 0 ] && [ "$NVIDIA_SMI_STATUS" -ne 14 ]; then RESET_GPU=1 fi fi if [ "$RESET_GPU" -eq 1 ]; then NVIDIA_DEVICES=$(lspci -D | grep -i NVIDIA | cut -d' ' -f1) # The GPU can get stuck in a failure state if somehow the test crashs the GPU microcode. When this # happens, we'll try to reset all NVIDIA devices https://github.com/pytorch/pytorch/issues/88388 for PCI_ID in $NVIDIA_DEVICES; do DEVICE_ENABLED=$(cat /sys/bus/pci/devices/$PCI_ID/enable) echo "Reseting $PCI_ID (enabled state: $DEVICE_ENABLED)" # This requires sudo permission of course echo "1" | sudo tee /sys/bus/pci/devices/$PCI_ID/reset sleep 1 done fi sudo rm -fv /tmp/nvidia_driver set -e fi ) } post_install_nvidia_driver_common() { ( sudo modprobe nvidia || true echo "After installing NVIDIA driver" lspci lsmod modinfo nvidia || true ( set +e nvidia-smi # NB: Annoyingly, nvidia-smi command returns successfully with return code 0 even in # the case where the driver has already crashed as it still can get the driver version # and some basic information like the bus ID. However, the rest of the information # would be missing (ERR!), for example: # # +-----------------------------------------------------------------------------+ # | NVIDIA-SMI 525.89.02 Driver Version: 525.89.02 CUDA Version: 12.0 | # |-------------------------------+----------------------+----------------------+ # | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | # | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | # | | | MIG M. | # |===============================+======================+======================| # | 0 ERR! Off | 00000000:00:1E.0 Off | ERR! | # |ERR! ERR! ERR! ERR! / ERR! | 4184MiB / 23028MiB | ERR! Default | # | | | ERR! | # +-------------------------------+----------------------+----------------------+ # # +-----------------------------------------------------------------------------+ # | Processes: | # | GPU GI CI PID Type Process name GPU Memory | # | ID ID Usage | # |=============================================================================| # +-----------------------------------------------------------------------------+ # # This should be reported as a failure instead as it will guarantee to fail when # Docker tries to run with --gpus all # # So, the correct check here is to query one of the missing piece of info like # GPU name, so that the command can fail accordingly nvidia-smi --query-gpu=gpu_name --format=csv,noheader --id=0 NVIDIA_SMI_STATUS=$? # Allowable exit statuses for nvidia-smi, see: https://github.com/NVIDIA/gpu-operator/issues/285 if [ "$NVIDIA_SMI_STATUS" -eq 0 ] || [ "$NVIDIA_SMI_STATUS" -eq 14 ]; then echo "INFO: Ignoring allowed status ${NVIDIA_SMI_STATUS}" else echo "ERROR: nvidia-smi exited with unresolved status ${NVIDIA_SMI_STATUS}" exit ${NVIDIA_SMI_STATUS} fi set -e ) ) } install_nvidia_driver_amzn2() { ( set -x pre_install_nvidia_driver_amzn2 install_nvidia_driver_common post_install_nvidia_driver_common ) } install_nvidia_driver_ubuntu20() { ( set -x install_nvidia_driver_common post_install_nvidia_driver_common ) } echo "== Installing nvidia driver ${DRIVER_FN} ==" case "${DISTRIBUTION}" in amzn*) install_nvidia_driver_amzn2 ;; ubuntu20.04) install_nvidia_driver_ubuntu20 ;; *) echo "ERROR: Unknown distribution ${DISTRIBUTION}" exit 1 ;; esac # Install container toolkit based on distribution echo "== Installing nvidia container toolkit for ${DISTRIBUTION} ==" case "${DISTRIBUTION}" in amzn*) install_nvidia_docker2_amzn2 ;; ubuntu20.04) install_nvidia_docker2_ubuntu20 ;; *) echo "ERROR: Unknown distribution ${DISTRIBUTION}" exit 1 ;; esac # Fix https://github.com/NVIDIA/nvidia-docker/issues/1648 on runners with # more than one GPUs. This just needs to be run once. The command fails # on subsequent runs and complains that the mode is already on, but that's # ok sudo nvidia-persistenced || true # This should show persistence mode ON nvidia-smi # check if the container-toolkit is correctly installed and CUDA is available inside a container docker run --rm -t --gpus=all public.ecr.aws/docker/library/python:3.13 nvidia-smi 2025-12-04T09:24:19.2283570Z retry_wait_seconds: 10 2025-12-04T09:24:19.2283831Z polling_interval_seconds: 1 2025-12-04T09:24:19.2284088Z warning_on_retry: true 2025-12-04T09:24:19.2284338Z continue_on_error: false 2025-12-04T09:24:19.2284575Z env: 2025-12-04T09:24:19.2284774Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:24:19.2285025Z HAS_NVIDIA_GPU: true 2025-12-04T09:24:19.2285324Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:24:19.2285661Z DRIVER_VERSION: 580.82.07 2025-12-04T09:24:19.2285903Z ##[endgroup] 2025-12-04T09:24:19.3660540Z == Installing nvidia driver NVIDIA-Linux-x86_64-580.82.07.run == 2025-12-04T09:24:19.3662162Z + pre_install_nvidia_driver_amzn2 2025-12-04T09:24:19.3662630Z + sudo yum remove -y nvidia-driver-latest-dkms 2025-12-04T09:24:20.1597700Z No match for argument: nvidia-driver-latest-dkms 2025-12-04T09:24:20.1598109Z No packages marked for removal. 2025-12-04T09:24:20.1664413Z Dependencies resolved. 2025-12-04T09:24:20.1674539Z Nothing to do. 2025-12-04T09:24:20.1675207Z Complete! 2025-12-04T09:24:20.2854493Z + install_nvidia_driver_common 2025-12-04T09:24:20.2857866Z + echo 'Before installing NVIDIA driver' 2025-12-04T09:24:20.2858425Z + lspci 2025-12-04T09:24:20.2859461Z Before installing NVIDIA driver 2025-12-04T09:24:20.4049549Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma] 2025-12-04T09:24:20.4050571Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II] 2025-12-04T09:24:20.4051681Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08) 2025-12-04T09:24:20.4052739Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111 2025-12-04T09:24:20.4053702Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller 2025-12-04T09:24:20.4054770Z 00:05.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA) 2025-12-04T09:24:20.4055745Z 00:1e.0 3D controller: NVIDIA Corporation GA102GL [A10G] (rev a1) 2025-12-04T09:24:20.4056725Z 00:1f.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller 2025-12-04T09:24:20.4057516Z + lsmod 2025-12-04T09:24:20.4104720Z Module Size Used by 2025-12-04T09:24:20.4105292Z nvidia_uvm 1925120 0 2025-12-04T09:24:20.4105568Z nvidia 14286848 1 nvidia_uvm 2025-12-04T09:24:20.4105859Z drm 602112 1 nvidia 2025-12-04T09:24:20.4106167Z drm_panel_orientation_quirks 32768 1 drm 2025-12-04T09:24:20.4106478Z backlight 24576 1 drm 2025-12-04T09:24:20.4106760Z i2c_core 110592 2 nvidia,drm 2025-12-04T09:24:20.4107052Z xt_conntrack 16384 1 2025-12-04T09:24:20.4107315Z nft_chain_nat 16384 3 2025-12-04T09:24:20.4107567Z xt_MASQUERADE 20480 1 2025-12-04T09:24:20.4107869Z nf_nat 57344 2 nft_chain_nat,xt_MASQUERADE 2025-12-04T09:24:20.4108245Z nf_conntrack_netlink 57344 0 2025-12-04T09:24:20.4108646Z nf_conntrack 184320 4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE 2025-12-04T09:24:20.4109252Z nf_defrag_ipv6 24576 1 nf_conntrack 2025-12-04T09:24:20.4109567Z nf_defrag_ipv4 16384 1 nf_conntrack 2025-12-04T09:24:20.4109867Z xfrm_user 57344 1 2025-12-04T09:24:20.4110128Z xfrm_algo 16384 1 xfrm_user 2025-12-04T09:24:20.4110419Z xt_addrtype 16384 2 2025-12-04T09:24:20.4110677Z nft_compat 20480 4 2025-12-04T09:24:20.4110977Z nf_tables 311296 57 nft_compat,nft_chain_nat 2025-12-04T09:24:20.4111393Z nfnetlink 20480 4 nft_compat,nf_conntrack_netlink,nf_tables 2025-12-04T09:24:20.4111768Z br_netfilter 36864 0 2025-12-04T09:24:20.4112049Z bridge 323584 1 br_netfilter 2025-12-04T09:24:20.4112346Z stp 16384 1 bridge 2025-12-04T09:24:20.4112636Z llc 16384 2 bridge,stp 2025-12-04T09:24:20.4112919Z overlay 167936 0 2025-12-04T09:24:20.4113164Z tls 139264 0 2025-12-04T09:24:20.4113422Z nls_ascii 16384 1 2025-12-04T09:24:20.4113675Z nls_cp437 20480 1 2025-12-04T09:24:20.4113917Z vfat 24576 1 2025-12-04T09:24:20.4114170Z fat 86016 1 vfat 2025-12-04T09:24:20.4114434Z sunrpc 700416 1 2025-12-04T09:24:20.4114672Z i8042 45056 0 2025-12-04T09:24:20.4114925Z ghash_clmulni_intel 16384 0 2025-12-04T09:24:20.4115189Z serio 28672 3 i8042 2025-12-04T09:24:20.4115450Z ena 184320 0 2025-12-04T09:24:20.4115700Z button 24576 0 2025-12-04T09:24:20.4115952Z sch_fq_codel 20480 17 2025-12-04T09:24:20.4116201Z fuse 184320 1 2025-12-04T09:24:20.4116454Z dm_mod 188416 0 2025-12-04T09:24:20.4116697Z loop 36864 0 2025-12-04T09:24:20.4116948Z configfs 57344 1 2025-12-04T09:24:20.4117197Z dmi_sysfs 20480 0 2025-12-04T09:24:20.4117449Z crc32_pclmul 16384 0 2025-12-04T09:24:20.4117709Z crc32c_intel 24576 0 2025-12-04T09:24:20.4117996Z efivarfs 24576 1 2025-12-04T09:24:20.4118329Z + modinfo nvidia 2025-12-04T09:24:20.4125627Z filename: /lib/modules/6.1.150-174.273.amzn2023.x86_64/kernel/drivers/video/nvidia.ko 2025-12-04T09:24:20.4126106Z import_ns: DMA_BUF 2025-12-04T09:24:20.4126348Z alias: char-major-195-* 2025-12-04T09:24:20.4126614Z version: 580.82.07 2025-12-04T09:24:20.4126858Z supported: external 2025-12-04T09:24:20.4127098Z license: Dual MIT/GPL 2025-12-04T09:24:20.4127380Z firmware: nvidia/580.82.07/gsp_tu10x.bin 2025-12-04T09:24:20.4127718Z firmware: nvidia/580.82.07/gsp_ga10x.bin 2025-12-04T09:24:20.4128049Z srcversion: BA7240A71DCF7DC6FE88C1D 2025-12-04T09:24:20.4128422Z alias: of:N*T*Cnvidia,tegra264-displayC* 2025-12-04T09:24:20.4128777Z alias: of:N*T*Cnvidia,tegra264-display 2025-12-04T09:24:20.4129127Z alias: of:N*T*Cnvidia,tegra234-displayC* 2025-12-04T09:24:20.4129476Z alias: of:N*T*Cnvidia,tegra234-display 2025-12-04T09:24:20.4129816Z alias: pci:v000010DEd*sv*sd*bc06sc80i00* 2025-12-04T09:24:20.4130261Z alias: pci:v000010DEd*sv*sd*bc03sc02i00* 2025-12-04T09:24:20.4130590Z alias: pci:v000010DEd*sv*sd*bc03sc00i00* 2025-12-04T09:24:20.4130901Z depends: i2c-core,drm 2025-12-04T09:24:20.4131152Z retpoline: Y 2025-12-04T09:24:20.4131362Z name: nvidia 2025-12-04T09:24:20.4131720Z vermagic: 6.1.150-174.273.amzn2023.x86_64 SMP preempt mod_unload modversions 2025-12-04T09:24:20.4132192Z parm: NvSwitchRegDwords:NvSwitch regkey (charp) 2025-12-04T09:24:20.4132635Z parm: NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp) 2025-12-04T09:24:20.4133045Z parm: NVreg_ResmanDebugLevel:int 2025-12-04T09:24:20.4133369Z parm: NVreg_RmLogonRC:int 2025-12-04T09:24:20.4133672Z parm: NVreg_ModifyDeviceFiles:int 2025-12-04T09:24:20.4134066Z parm: NVreg_DeviceFileUID:int 2025-12-04T09:24:20.4134367Z parm: NVreg_DeviceFileGID:int 2025-12-04T09:24:20.4134678Z parm: NVreg_DeviceFileMode:int 2025-12-04T09:24:20.4135039Z parm: NVreg_InitializeSystemMemoryAllocations:int 2025-12-04T09:24:20.4135430Z parm: NVreg_UsePageAttributeTable:int 2025-12-04T09:24:20.4135762Z parm: NVreg_EnablePCIeGen3:int 2025-12-04T09:24:20.4136056Z parm: NVreg_EnableMSI:int 2025-12-04T09:24:20.4136363Z parm: NVreg_EnableStreamMemOPs:int 2025-12-04T09:24:20.4136728Z parm: NVreg_RestrictProfilingToAdminUsers:int 2025-12-04T09:24:20.4137125Z parm: NVreg_PreserveVideoMemoryAllocations:int 2025-12-04T09:24:20.4137508Z parm: NVreg_EnableS0ixPowerManagement:int 2025-12-04T09:24:20.4137927Z parm: NVreg_S0ixPowerManagementVideoMemoryThreshold:int 2025-12-04T09:24:20.4138389Z parm: NVreg_DynamicPowerManagement:int 2025-12-04T09:24:20.4138806Z parm: NVreg_DynamicPowerManagementVideoMemoryThreshold:int 2025-12-04T09:24:20.4139225Z parm: NVreg_EnableGpuFirmware:int 2025-12-04T09:24:20.4139565Z parm: NVreg_EnableGpuFirmwareLogs:int 2025-12-04T09:24:20.4139932Z parm: NVreg_OpenRmEnableUnsupportedGpus:int 2025-12-04T09:24:20.4140307Z parm: NVreg_EnableUserNUMAManagement:int 2025-12-04T09:24:20.4140648Z parm: NVreg_MemoryPoolSize:int 2025-12-04T09:24:20.4140963Z parm: NVreg_KMallocHeapMaxSize:int 2025-12-04T09:24:20.4141296Z parm: NVreg_VMallocHeapMaxSize:int 2025-12-04T09:24:20.4141617Z parm: NVreg_IgnoreMMIOCheck:int 2025-12-04T09:24:20.4141930Z parm: NVreg_NvLinkDisable:int 2025-12-04T09:24:20.4142274Z parm: NVreg_EnablePCIERelaxedOrderingMode:int 2025-12-04T09:24:20.4142634Z parm: NVreg_RegisterPCIDriver:int 2025-12-04T09:24:20.4142987Z parm: NVreg_RegisterPlatformDeviceDriver:int 2025-12-04T09:24:20.4143342Z parm: NVreg_EnableResizableBar:int 2025-12-04T09:24:20.4143681Z parm: NVreg_EnableDbgBreakpoint:int 2025-12-04T09:24:20.4144026Z parm: NVreg_EnableNonblockingOpen:int 2025-12-04T09:24:20.4144378Z parm: NVreg_CoherentGPUMemoryMode:charp 2025-12-04T09:24:20.4144715Z parm: NVreg_RegistryDwords:charp 2025-12-04T09:24:20.4145061Z parm: NVreg_RegistryDwordsPerDevice:charp 2025-12-04T09:24:20.4145396Z parm: NVreg_RmMsg:charp 2025-12-04T09:24:20.4145677Z parm: NVreg_GpuBlacklist:charp 2025-12-04T09:24:20.4145999Z parm: NVreg_TemporaryFilePath:charp 2025-12-04T09:24:20.4146322Z parm: NVreg_ExcludedGpus:charp 2025-12-04T09:24:20.4146632Z parm: NVreg_DmaRemapPeerMmio:int 2025-12-04T09:24:20.4146961Z parm: NVreg_RmNvlinkBandwidth:charp 2025-12-04T09:24:20.4147318Z parm: NVreg_RmNvlinkBandwidthLinkCount:int 2025-12-04T09:24:20.4147662Z parm: NVreg_ImexChannelCount:int 2025-12-04T09:24:20.4147987Z parm: NVreg_CreateImexChannel0:int 2025-12-04T09:24:20.4148357Z parm: NVreg_GrdmaPciTopoCheckOverride:int 2025-12-04T09:24:20.4148727Z parm: rm_firmware_active:charp 2025-12-04T09:24:20.4149122Z + HAS_NVIDIA_DRIVER=0 2025-12-04T09:24:20.4149365Z ++ command -v nvidia-smi 2025-12-04T09:24:20.4149620Z + '[' -x /usr/bin/nvidia-smi ']' 2025-12-04T09:24:20.4149871Z + set +e 2025-12-04T09:24:20.4150186Z ++ nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0 2025-12-04T09:24:22.1397166Z + INSTALLED_DRIVER_VERSION=580.82.07 2025-12-04T09:24:22.1397539Z + NVIDIA_SMI_STATUS=0 2025-12-04T09:24:22.1397782Z + '[' 0 -ne 0 ']' 2025-12-04T09:24:22.1398028Z + '[' 580.82.07 '!=' 580.82.07 ']' 2025-12-04T09:24:22.1398463Z + HAS_NVIDIA_DRIVER=1 2025-12-04T09:24:22.1399041Z + echo 'NVIDIA driver (580.82.07) has already been installed. Skipping NVIDIA driver installation' 2025-12-04T09:24:22.1399656Z + set -e 2025-12-04T09:24:22.1399931Z + '[' 1 -eq 0 ']' 2025-12-04T09:24:22.1400455Z NVIDIA driver (580.82.07) has already been installed. Skipping NVIDIA driver installation 2025-12-04T09:24:22.1401554Z + post_install_nvidia_driver_common 2025-12-04T09:24:22.1405719Z + sudo modprobe nvidia 2025-12-04T09:24:22.2602070Z + echo 'After installing NVIDIA driver' 2025-12-04T09:24:22.2602471Z + lspci 2025-12-04T09:24:22.2602786Z After installing NVIDIA driver 2025-12-04T09:24:22.2726083Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma] 2025-12-04T09:24:22.2726608Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II] 2025-12-04T09:24:22.2727163Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08) 2025-12-04T09:24:22.2727684Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111 2025-12-04T09:24:22.2728170Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller 2025-12-04T09:24:22.2728748Z 00:05.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA) 2025-12-04T09:24:22.2729236Z 00:1e.0 3D controller: NVIDIA Corporation GA102GL [A10G] (rev a1) 2025-12-04T09:24:22.2729732Z 00:1f.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller 2025-12-04T09:24:22.2730133Z + lsmod 2025-12-04T09:24:22.2765527Z Module Size Used by 2025-12-04T09:24:22.2765834Z nvidia_uvm 1925120 0 2025-12-04T09:24:22.2766105Z nvidia 14286848 1 nvidia_uvm 2025-12-04T09:24:22.2766394Z drm 602112 1 nvidia 2025-12-04T09:24:22.2766704Z drm_panel_orientation_quirks 32768 1 drm 2025-12-04T09:24:22.2767008Z backlight 24576 1 drm 2025-12-04T09:24:22.2767295Z i2c_core 110592 2 nvidia,drm 2025-12-04T09:24:22.2767586Z xt_conntrack 16384 1 2025-12-04T09:24:22.2767840Z nft_chain_nat 16384 3 2025-12-04T09:24:22.2768099Z xt_MASQUERADE 20480 1 2025-12-04T09:24:22.2768397Z nf_nat 57344 2 nft_chain_nat,xt_MASQUERADE 2025-12-04T09:24:22.2768723Z nf_conntrack_netlink 57344 0 2025-12-04T09:24:22.2769120Z nf_conntrack 184320 4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE 2025-12-04T09:24:22.2769571Z nf_defrag_ipv6 24576 1 nf_conntrack 2025-12-04T09:24:22.2769891Z nf_defrag_ipv4 16384 1 nf_conntrack 2025-12-04T09:24:22.2770177Z xfrm_user 57344 1 2025-12-04T09:24:22.2770440Z xfrm_algo 16384 1 xfrm_user 2025-12-04T09:24:22.2770725Z xt_addrtype 16384 2 2025-12-04T09:24:22.2770976Z nft_compat 20480 4 2025-12-04T09:24:22.2771279Z nf_tables 311296 57 nft_compat,nft_chain_nat 2025-12-04T09:24:22.2771690Z nfnetlink 20480 4 nft_compat,nf_conntrack_netlink,nf_tables 2025-12-04T09:24:22.2772065Z br_netfilter 36864 0 2025-12-04T09:24:22.2772333Z bridge 323584 1 br_netfilter 2025-12-04T09:24:22.2772627Z stp 16384 1 bridge 2025-12-04T09:24:22.2772911Z llc 16384 2 bridge,stp 2025-12-04T09:24:22.2773191Z overlay 167936 0 2025-12-04T09:24:22.2773448Z tls 139264 0 2025-12-04T09:24:22.2773697Z nls_ascii 16384 1 2025-12-04T09:24:22.2773937Z nls_cp437 20480 1 2025-12-04T09:24:22.2774422Z vfat 24576 1 2025-12-04T09:24:22.2774672Z fat 86016 1 vfat 2025-12-04T09:24:22.2774927Z sunrpc 700416 1 2025-12-04T09:24:22.2775169Z i8042 45056 0 2025-12-04T09:24:22.2775422Z ghash_clmulni_intel 16384 0 2025-12-04T09:24:22.2775676Z serio 28672 3 i8042 2025-12-04T09:24:22.2775941Z ena 184320 0 2025-12-04T09:24:22.2776185Z button 24576 0 2025-12-04T09:24:22.2776438Z sch_fq_codel 20480 17 2025-12-04T09:24:22.2776684Z fuse 184320 1 2025-12-04T09:24:22.2776932Z dm_mod 188416 0 2025-12-04T09:24:22.2777177Z loop 36864 0 2025-12-04T09:24:22.2777418Z configfs 57344 1 2025-12-04T09:24:22.2777671Z dmi_sysfs 20480 0 2025-12-04T09:24:22.2778067Z crc32_pclmul 16384 0 2025-12-04T09:24:22.2778312Z crc32c_intel 24576 0 2025-12-04T09:24:22.2778572Z efivarfs 24576 1 2025-12-04T09:24:22.2778819Z + modinfo nvidia 2025-12-04T09:24:22.2786012Z filename: /lib/modules/6.1.150-174.273.amzn2023.x86_64/kernel/drivers/video/nvidia.ko 2025-12-04T09:24:22.2786546Z import_ns: DMA_BUF 2025-12-04T09:24:22.2786859Z alias: char-major-195-* 2025-12-04T09:24:22.2787130Z version: 580.82.07 2025-12-04T09:24:22.2787366Z supported: external 2025-12-04T09:24:22.2787617Z license: Dual MIT/GPL 2025-12-04T09:24:22.2787904Z firmware: nvidia/580.82.07/gsp_tu10x.bin 2025-12-04T09:24:22.2788526Z firmware: nvidia/580.82.07/gsp_ga10x.bin 2025-12-04T09:24:22.2788895Z srcversion: BA7240A71DCF7DC6FE88C1D 2025-12-04T09:24:22.2789224Z alias: of:N*T*Cnvidia,tegra264-displayC* 2025-12-04T09:24:22.2789573Z alias: of:N*T*Cnvidia,tegra264-display 2025-12-04T09:24:22.2789927Z alias: of:N*T*Cnvidia,tegra234-displayC* 2025-12-04T09:24:22.2790272Z alias: of:N*T*Cnvidia,tegra234-display 2025-12-04T09:24:22.2790615Z alias: pci:v000010DEd*sv*sd*bc06sc80i00* 2025-12-04T09:24:22.2790945Z alias: pci:v000010DEd*sv*sd*bc03sc02i00* 2025-12-04T09:24:22.2791277Z alias: pci:v000010DEd*sv*sd*bc03sc00i00* 2025-12-04T09:24:22.2791589Z depends: i2c-core,drm 2025-12-04T09:24:22.2791848Z retpoline: Y 2025-12-04T09:24:22.2792056Z name: nvidia 2025-12-04T09:24:22.2792412Z vermagic: 6.1.150-174.273.amzn2023.x86_64 SMP preempt mod_unload modversions 2025-12-04T09:24:22.2792890Z parm: NvSwitchRegDwords:NvSwitch regkey (charp) 2025-12-04T09:24:22.2793326Z parm: NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp) 2025-12-04T09:24:22.2793741Z parm: NVreg_ResmanDebugLevel:int 2025-12-04T09:24:22.2794046Z parm: NVreg_RmLogonRC:int 2025-12-04T09:24:22.2794347Z parm: NVreg_ModifyDeviceFiles:int 2025-12-04T09:24:22.2794661Z parm: NVreg_DeviceFileUID:int 2025-12-04T09:24:22.2794964Z parm: NVreg_DeviceFileGID:int 2025-12-04T09:24:22.2795268Z parm: NVreg_DeviceFileMode:int 2025-12-04T09:24:22.2795630Z parm: NVreg_InitializeSystemMemoryAllocations:int 2025-12-04T09:24:22.2796017Z parm: NVreg_UsePageAttributeTable:int 2025-12-04T09:24:22.2796352Z parm: NVreg_EnablePCIeGen3:int 2025-12-04T09:24:22.2796645Z parm: NVreg_EnableMSI:int 2025-12-04T09:24:22.2796947Z parm: NVreg_EnableStreamMemOPs:int 2025-12-04T09:24:22.2797307Z parm: NVreg_RestrictProfilingToAdminUsers:int 2025-12-04T09:24:22.2797700Z parm: NVreg_PreserveVideoMemoryAllocations:int 2025-12-04T09:24:22.2798081Z parm: NVreg_EnableS0ixPowerManagement:int 2025-12-04T09:24:22.2798574Z parm: NVreg_S0ixPowerManagementVideoMemoryThreshold:int 2025-12-04T09:24:22.2798979Z parm: NVreg_DynamicPowerManagement:int 2025-12-04T09:24:22.2799404Z parm: NVreg_DynamicPowerManagementVideoMemoryThreshold:int 2025-12-04T09:24:22.2799987Z parm: NVreg_EnableGpuFirmware:int 2025-12-04T09:24:22.2800325Z parm: NVreg_EnableGpuFirmwareLogs:int 2025-12-04T09:24:22.2800689Z parm: NVreg_OpenRmEnableUnsupportedGpus:int 2025-12-04T09:24:22.2801064Z parm: NVreg_EnableUserNUMAManagement:int 2025-12-04T09:24:22.2801405Z parm: NVreg_MemoryPoolSize:int 2025-12-04T09:24:22.2801720Z parm: NVreg_KMallocHeapMaxSize:int 2025-12-04T09:24:22.2802053Z parm: NVreg_VMallocHeapMaxSize:int 2025-12-04T09:24:22.2802377Z parm: NVreg_IgnoreMMIOCheck:int 2025-12-04T09:24:22.2802682Z parm: NVreg_NvLinkDisable:int 2025-12-04T09:24:22.2803029Z parm: NVreg_EnablePCIERelaxedOrderingMode:int 2025-12-04T09:24:22.2803396Z parm: NVreg_RegisterPCIDriver:int 2025-12-04T09:24:22.2803751Z parm: NVreg_RegisterPlatformDeviceDriver:int 2025-12-04T09:24:22.2804225Z parm: NVreg_EnableResizableBar:int 2025-12-04T09:24:22.2804564Z parm: NVreg_EnableDbgBreakpoint:int 2025-12-04T09:24:22.2804916Z parm: NVreg_EnableNonblockingOpen:int 2025-12-04T09:24:22.2805266Z parm: NVreg_CoherentGPUMemoryMode:charp 2025-12-04T09:24:22.2805605Z parm: NVreg_RegistryDwords:charp 2025-12-04T09:24:22.2805946Z parm: NVreg_RegistryDwordsPerDevice:charp 2025-12-04T09:24:22.2806271Z parm: NVreg_RmMsg:charp 2025-12-04T09:24:22.2806560Z parm: NVreg_GpuBlacklist:charp 2025-12-04T09:24:22.2806883Z parm: NVreg_TemporaryFilePath:charp 2025-12-04T09:24:22.2807195Z parm: NVreg_ExcludedGpus:charp 2025-12-04T09:24:22.2807508Z parm: NVreg_DmaRemapPeerMmio:int 2025-12-04T09:24:22.2807836Z parm: NVreg_RmNvlinkBandwidth:charp 2025-12-04T09:24:22.2808195Z parm: NVreg_RmNvlinkBandwidthLinkCount:int 2025-12-04T09:24:22.2818290Z parm: NVreg_ImexChannelCount:int 2025-12-04T09:24:22.2818672Z parm: NVreg_CreateImexChannel0:int 2025-12-04T09:24:22.2819040Z parm: NVreg_GrdmaPciTopoCheckOverride:int 2025-12-04T09:24:22.2819401Z parm: rm_firmware_active:charp 2025-12-04T09:24:22.2819686Z + set +e 2025-12-04T09:24:22.2819890Z + nvidia-smi 2025-12-04T09:24:23.7319267Z Thu Dec 4 09:24:23 2025 2025-12-04T09:24:23.7319679Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:24:23.7320195Z | NVIDIA-SMI 580.82.07 Driver Version: 580.82.07 CUDA Version: 13.0 | 2025-12-04T09:24:23.7320689Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:24:23.7321198Z | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-12-04T09:24:23.7321736Z | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | 2025-12-04T09:24:23.7322210Z | | | MIG M. | 2025-12-04T09:24:23.7322566Z |=========================================+========================+======================| 2025-12-04T09:24:23.7408434Z | 0 NVIDIA A10G Off | 00000000:00:1E.0 Off | 0 | 2025-12-04T09:24:23.7408903Z | 0% 26C P0 61W / 300W | 0MiB / 23028MiB | 4% Default | 2025-12-04T09:24:23.7409293Z | | | N/A | 2025-12-04T09:24:23.7409688Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:24:23.7409993Z 2025-12-04T09:24:23.7410339Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:24:23.7410783Z | Processes: | 2025-12-04T09:24:23.7411241Z | GPU GI CI PID Type Process name GPU Memory | 2025-12-04T09:24:23.7411665Z | ID ID Usage | 2025-12-04T09:24:23.7412291Z |=========================================================================================| 2025-12-04T09:24:23.7414092Z | No running processes found | 2025-12-04T09:24:23.7414581Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:24:24.1678396Z + nvidia-smi --query-gpu=gpu_name --format=csv,noheader --id=0 2025-12-04T09:24:25.6216867Z NVIDIA A10G 2025-12-04T09:24:25.8925123Z + NVIDIA_SMI_STATUS=0 2025-12-04T09:24:25.8925507Z + '[' 0 -eq 0 ']' 2025-12-04T09:24:25.8925767Z + echo 'INFO: Ignoring allowed status 0' 2025-12-04T09:24:25.8926060Z + set -e 2025-12-04T09:24:25.8926268Z INFO: Ignoring allowed status 0 2025-12-04T09:24:25.8934334Z == Installing nvidia container toolkit for amzn2023 == 2025-12-04T09:24:25.8939621Z + sudo yum install -y yum-utils 2025-12-04T09:24:26.4086962Z Last metadata expiration check: 0:08:44 ago on Thu Dec 4 09:15:42 2025. 2025-12-04T09:24:26.4361212Z Package dnf-utils-4.3.0-13.amzn2023.0.5.noarch is already installed. 2025-12-04T09:24:26.4942193Z Dependencies resolved. 2025-12-04T09:24:26.5233460Z Nothing to do. 2025-12-04T09:24:26.5233714Z Complete! 2025-12-04T09:24:26.6182365Z + [[ amzn2023 == \a\m\z\n\2\0\2\3 ]] 2025-12-04T09:24:26.6183103Z + YUM_REPO_URL=https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo 2025-12-04T09:24:26.6184033Z + sudo yum-config-manager --add-repo https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo 2025-12-04T09:24:26.9179493Z Adding repo from: https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo 2025-12-04T09:24:26.9681255Z + sudo yum install -y nvidia-container-toolkit-1.17.8 libnvidia-container-tools-1.17.8 libnvidia-container1-1.17.8 nvidia-container-toolkit-base-1.17.8 2025-12-04T09:24:27.5235259Z nvidia-container-toolkit 19 kB/s | 833 B 00:00 2025-12-04T09:24:27.6075391Z Dependencies resolved. 2025-12-04T09:24:27.6361646Z ================================================================================ 2025-12-04T09:24:27.6362150Z Package Arch Version Repository Size 2025-12-04T09:24:27.6362564Z ================================================================================ 2025-12-04T09:24:27.6362878Z Downgrading: 2025-12-04T09:24:27.6363265Z libnvidia-container-tools x86_64 1.17.8-1 nvidia-container-toolkit 40 k 2025-12-04T09:24:27.6363842Z libnvidia-container1 x86_64 1.17.8-1 nvidia-container-toolkit 1.0 M 2025-12-04T09:24:27.6364402Z nvidia-container-toolkit x86_64 1.17.8-1 nvidia-container-toolkit 1.2 M 2025-12-04T09:24:27.6364999Z nvidia-container-toolkit-base x86_64 1.17.8-1 nvidia-container-toolkit 5.8 M 2025-12-04T09:24:27.6365390Z 2025-12-04T09:24:27.6365493Z Transaction Summary 2025-12-04T09:24:27.6365755Z ================================================================================ 2025-12-04T09:24:27.6366086Z Downgrade 4 Packages 2025-12-04T09:24:27.6366247Z 2025-12-04T09:24:27.6366355Z Total download size: 8.0 M 2025-12-04T09:24:27.6367050Z Downloading Packages: 2025-12-04T09:24:27.6694977Z (1/4): libnvidia-container-tools-1.17.8-1.x86_6 1.3 MB/s | 40 kB 00:00 2025-12-04T09:24:27.7210847Z (2/4): libnvidia-container1-1.17.8-1.x86_64.rpm 12 MB/s | 1.0 MB 00:00 2025-12-04T09:24:27.7686309Z (3/4): nvidia-container-toolkit-1.17.8-1.x86_64 9.5 MB/s | 1.2 MB 00:00 2025-12-04T09:24:27.8673621Z (4/4): nvidia-container-toolkit-base-1.17.8-1.x 29 MB/s | 5.8 MB 00:00 2025-12-04T09:24:27.8682580Z -------------------------------------------------------------------------------- 2025-12-04T09:24:27.8685662Z Total 35 MB/s | 8.0 MB 00:00 2025-12-04T09:24:27.8688437Z Running transaction check 2025-12-04T09:24:27.8805398Z Transaction check succeeded. 2025-12-04T09:24:27.8805710Z Running transaction test 2025-12-04T09:24:27.9307013Z Transaction test succeeded. 2025-12-04T09:24:27.9309595Z Running transaction 2025-12-04T09:24:28.7761146Z Preparing : 1/1 2025-12-04T09:24:28.9020667Z Downgrading : nvidia-container-toolkit-base-1.17.8-1.x86_64 1/8 2025-12-04T09:24:28.9313276Z Downgrading : libnvidia-container1-1.17.8-1.x86_64 2/8 2025-12-04T09:24:29.0161286Z Running scriptlet: libnvidia-container1-1.17.8-1.x86_64 2/8 2025-12-04T09:24:29.1491741Z Downgrading : libnvidia-container-tools-1.17.8-1.x86_64 3/8 2025-12-04T09:24:29.1828955Z Downgrading : nvidia-container-toolkit-1.17.8-1.x86_64 4/8 2025-12-04T09:24:29.2609480Z Running scriptlet: nvidia-container-toolkit-1.17.8-1.x86_64 4/8 2025-12-04T09:24:29.2683395Z Running scriptlet: nvidia-container-toolkit-1.18.1-1.x86_64 5/8 2025-12-04T09:24:29.2683982Z Cleanup : nvidia-container-toolkit-1.18.1-1.x86_64 5/8 2025-12-04T09:24:29.3060420Z Running scriptlet: nvidia-container-toolkit-1.18.1-1.x86_64 5/8 2025-12-04T09:24:29.3133405Z Running scriptlet: libnvidia-container-tools-1.18.1-1.x86_64 6/8 2025-12-04T09:24:29.3133979Z Cleanup : libnvidia-container-tools-1.18.1-1.x86_64 6/8 2025-12-04T09:24:29.3476481Z Running scriptlet: libnvidia-container-tools-1.18.1-1.x86_64 6/8 2025-12-04T09:24:29.3557364Z Running scriptlet: libnvidia-container1-1.18.1-1.x86_64 7/8 2025-12-04T09:24:29.3557942Z Cleanup : libnvidia-container1-1.18.1-1.x86_64 7/8 2025-12-04T09:24:29.3912956Z Running scriptlet: libnvidia-container1-1.18.1-1.x86_64 7/8 2025-12-04T09:24:29.3989928Z Running scriptlet: nvidia-container-toolkit-base-1.18.1-1.x86_64 8/8 2025-12-04T09:24:29.3990780Z Cleanup : nvidia-container-toolkit-base-1.18.1-1.x86_64 8/8 2025-12-04T09:24:29.4308654Z Running scriptlet: nvidia-container-toolkit-base-1.18.1-1.x86_64 8/8 2025-12-04T09:24:29.4922653Z Running scriptlet: nvidia-container-toolkit-1.17.8-1.x86_64 8/8 2025-12-04T09:24:53.1101773Z Running scriptlet: nvidia-container-toolkit-base-1.18.1-1.x86_64 8/8 2025-12-04T09:24:53.1102553Z Verifying : libnvidia-container-tools-1.17.8-1.x86_64 1/8 2025-12-04T09:24:53.1103217Z Verifying : libnvidia-container-tools-1.18.1-1.x86_64 2/8 2025-12-04T09:24:53.1103798Z Verifying : libnvidia-container1-1.17.8-1.x86_64 3/8 2025-12-04T09:24:53.1104324Z Verifying : libnvidia-container1-1.18.1-1.x86_64 4/8 2025-12-04T09:24:53.1104853Z Verifying : nvidia-container-toolkit-1.17.8-1.x86_64 5/8 2025-12-04T09:24:53.1105412Z Verifying : nvidia-container-toolkit-1.18.1-1.x86_64 6/8 2025-12-04T09:24:53.1105992Z Verifying : nvidia-container-toolkit-base-1.17.8-1.x86_64 7/8 2025-12-04T09:24:53.2670790Z Verifying : nvidia-container-toolkit-base-1.18.1-1.x86_64 8/8================================================================================ 2025-12-04T09:24:53.2671379Z WARNING: 2025-12-04T09:24:53.2671631Z A newer release of "Amazon Linux" is available. 2025-12-04T09:24:53.2671865Z 2025-12-04T09:24:53.2671969Z Available Versions: 2025-12-04T09:24:53.2672119Z 2025-12-04T09:24:53.2672213Z Version 2023.9.20250929: 2025-12-04T09:24:53.2672531Z Run the following command to upgrade to 2023.9.20250929: 2025-12-04T09:24:53.2672786Z 2025-12-04T09:24:53.2672925Z dnf upgrade --releasever=2023.9.20250929 2025-12-04T09:24:53.2673141Z 2025-12-04T09:24:53.2673229Z Release notes: 2025-12-04T09:24:53.2673670Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20250929.html 2025-12-04T09:24:53.2674046Z 2025-12-04T09:24:53.2674437Z Version 2023.9.20251014: 2025-12-04T09:24:53.2674754Z Run the following command to upgrade to 2023.9.20251014: 2025-12-04T09:24:53.2675008Z 2025-12-04T09:24:53.2675123Z dnf upgrade --releasever=2023.9.20251014 2025-12-04T09:24:53.2675337Z 2025-12-04T09:24:53.2675423Z Release notes: 2025-12-04T09:24:53.2675814Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251014.html 2025-12-04T09:24:53.2676206Z 2025-12-04T09:24:53.2676305Z Version 2023.9.20251020: 2025-12-04T09:24:53.2676629Z Run the following command to upgrade to 2023.9.20251020: 2025-12-04T09:24:53.2676886Z 2025-12-04T09:24:53.2677002Z dnf upgrade --releasever=2023.9.20251020 2025-12-04T09:24:53.2677210Z 2025-12-04T09:24:53.2677301Z Release notes: 2025-12-04T09:24:53.2677685Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251020.html 2025-12-04T09:24:53.2678321Z 2025-12-04T09:24:53.2678411Z Version 2023.9.20251027: 2025-12-04T09:24:53.2678727Z Run the following command to upgrade to 2023.9.20251027: 2025-12-04T09:24:53.2678974Z 2025-12-04T09:24:53.2679095Z dnf upgrade --releasever=2023.9.20251027 2025-12-04T09:24:53.2679302Z 2025-12-04T09:24:53.2679387Z Release notes: 2025-12-04T09:24:53.2679775Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251027.html 2025-12-04T09:24:53.2680136Z 2025-12-04T09:24:53.2680230Z Version 2023.9.20251105: 2025-12-04T09:24:53.2680533Z Run the following command to upgrade to 2023.9.20251105: 2025-12-04T09:24:53.2680787Z 2025-12-04T09:24:53.2680903Z dnf upgrade --releasever=2023.9.20251105 2025-12-04T09:24:53.2681116Z 2025-12-04T09:24:53.2681202Z Release notes: 2025-12-04T09:24:53.2681599Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251105.html 2025-12-04T09:24:53.2681967Z 2025-12-04T09:24:53.2682057Z Version 2023.9.20251110: 2025-12-04T09:24:53.2682365Z Run the following command to upgrade to 2023.9.20251110: 2025-12-04T09:24:53.2682621Z 2025-12-04T09:24:53.2682745Z dnf upgrade --releasever=2023.9.20251110 2025-12-04T09:24:53.2682952Z 2025-12-04T09:24:53.2683037Z Release notes: 2025-12-04T09:24:53.2683425Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251110.html 2025-12-04T09:24:53.2683793Z 2025-12-04T09:24:53.2683880Z Version 2023.9.20251117: 2025-12-04T09:24:53.2684185Z Run the following command to upgrade to 2023.9.20251117: 2025-12-04T09:24:53.2684432Z 2025-12-04T09:24:53.2684546Z dnf upgrade --releasever=2023.9.20251117 2025-12-04T09:24:53.2684762Z 2025-12-04T09:24:53.2684843Z Release notes: 2025-12-04T09:24:53.2685233Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251117.html 2025-12-04T09:24:53.2685595Z 2025-12-04T09:24:53.2685712Z ================================================================================ 2025-12-04T09:24:53.3254781Z 2025-12-04T09:24:53.3254951Z 2025-12-04T09:24:53.3255040Z Downgraded: 2025-12-04T09:24:53.3255433Z libnvidia-container-tools-1.17.8-1.x86_64 2025-12-04T09:24:53.3255981Z libnvidia-container1-1.17.8-1.x86_64 2025-12-04T09:24:53.3256532Z nvidia-container-toolkit-1.17.8-1.x86_64 2025-12-04T09:24:53.3257102Z nvidia-container-toolkit-base-1.17.8-1.x86_64 2025-12-04T09:24:53.3257440Z 2025-12-04T09:24:53.3257530Z Complete! 2025-12-04T09:24:53.4004134Z + sudo systemctl restart docker 2025-12-04T09:24:59.5534416Z Thu Dec 4 09:24:59 2025 2025-12-04T09:24:59.5534865Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:24:59.5535368Z | NVIDIA-SMI 580.82.07 Driver Version: 580.82.07 CUDA Version: 13.0 | 2025-12-04T09:24:59.5535894Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:24:59.5536709Z | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-12-04T09:24:59.5537247Z | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | 2025-12-04T09:24:59.5537691Z | | | MIG M. | 2025-12-04T09:24:59.5538036Z |=========================================+========================+======================| 2025-12-04T09:24:59.5630457Z | 0 NVIDIA A10G On | 00000000:00:1E.0 Off | 0 | 2025-12-04T09:24:59.5630917Z | 0% 25C P0 56W / 300W | 0MiB / 23028MiB | 4% Default | 2025-12-04T09:24:59.5631312Z | | | N/A | 2025-12-04T09:24:59.5631708Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:24:59.5632373Z 2025-12-04T09:24:59.5632776Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:24:59.5633240Z | Processes: | 2025-12-04T09:24:59.5633689Z | GPU GI CI PID Type Process name GPU Memory | 2025-12-04T09:24:59.5634100Z | ID ID Usage | 2025-12-04T09:24:59.5634455Z |=========================================================================================| 2025-12-04T09:24:59.5636180Z | No running processes found | 2025-12-04T09:24:59.5636668Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:24:59.7382579Z Unable to find image 'public.ecr.aws/docker/library/python:3.13' locally 2025-12-04T09:24:59.9056756Z 3.13: Pulling from docker/library/python 2025-12-04T09:25:00.0549735Z 53c88f1dfeb7: Pulling fs layer 2025-12-04T09:25:00.0550149Z eae668646f44: Pulling fs layer 2025-12-04T09:25:00.0550422Z ff2e6e687b6c: Pulling fs layer 2025-12-04T09:25:00.0550689Z 7c40a3faff76: Pulling fs layer 2025-12-04T09:25:00.0550952Z 967a3b1c8fef: Pulling fs layer 2025-12-04T09:25:00.0551207Z a64e1a44f22a: Pulling fs layer 2025-12-04T09:25:00.0551473Z 52655f8a5bcc: Pulling fs layer 2025-12-04T09:25:00.0551737Z 967a3b1c8fef: Waiting 2025-12-04T09:25:00.0551964Z 7c40a3faff76: Waiting 2025-12-04T09:25:00.0552249Z a64e1a44f22a: Waiting 2025-12-04T09:25:00.0552510Z 52655f8a5bcc: Waiting 2025-12-04T09:25:00.1748793Z eae668646f44: Verifying Checksum 2025-12-04T09:25:00.1749194Z eae668646f44: Download complete 2025-12-04T09:25:00.2615081Z 53c88f1dfeb7: Verifying Checksum 2025-12-04T09:25:00.2615508Z 53c88f1dfeb7: Download complete 2025-12-04T09:25:00.3030925Z ff2e6e687b6c: Verifying Checksum 2025-12-04T09:25:00.3320886Z 967a3b1c8fef: Verifying Checksum 2025-12-04T09:25:00.3321328Z 967a3b1c8fef: Download complete 2025-12-04T09:25:00.3637452Z 52655f8a5bcc: Verifying Checksum 2025-12-04T09:25:00.3637991Z 52655f8a5bcc: Download complete 2025-12-04T09:25:00.4059968Z a64e1a44f22a: Verifying Checksum 2025-12-04T09:25:00.4060425Z a64e1a44f22a: Download complete 2025-12-04T09:25:00.8183107Z 7c40a3faff76: Verifying Checksum 2025-12-04T09:25:00.8183451Z 7c40a3faff76: Download complete 2025-12-04T09:25:02.0843050Z 53c88f1dfeb7: Pull complete 2025-12-04T09:25:02.8157770Z eae668646f44: Pull complete 2025-12-04T09:25:05.2649986Z ff2e6e687b6c: Pull complete 2025-12-04T09:25:11.9493926Z 7c40a3faff76: Pull complete 2025-12-04T09:25:12.2314701Z 967a3b1c8fef: Pull complete 2025-12-04T09:25:13.0044119Z a64e1a44f22a: Pull complete 2025-12-04T09:25:13.0296342Z 52655f8a5bcc: Pull complete 2025-12-04T09:25:13.0431453Z Digest: sha256:3f986299a7b8b44b0d8cf9bda2b22361ce5c3058ef5d7cb17fb7452506680ab0 2025-12-04T09:25:13.0474605Z Status: Downloaded newer image for public.ecr.aws/docker/library/python:3.13 2025-12-04T09:25:20.2971717Z Thu Dec 4 09:25:20 2025 2025-12-04T09:25:20.2972460Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:25:20.2972982Z | NVIDIA-SMI 580.82.07 Driver Version: 580.82.07 CUDA Version: 13.0 | 2025-12-04T09:25:20.2973471Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:25:20.2973971Z | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-12-04T09:25:20.2974502Z | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | 2025-12-04T09:25:20.2974946Z | | | MIG M. | 2025-12-04T09:25:20.2975286Z |=========================================+========================+======================| 2025-12-04T09:25:20.3130836Z | 0 NVIDIA A10G On | 00000000:00:1E.0 Off | 0 | 2025-12-04T09:25:20.3131358Z | 0% 23C P8 11W / 300W | 0MiB / 23028MiB | 0% Default | 2025-12-04T09:25:20.3131748Z | | | N/A | 2025-12-04T09:25:20.3132146Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:25:20.3136293Z 2025-12-04T09:25:20.3136764Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:25:20.3137236Z | Processes: | 2025-12-04T09:25:20.3137692Z | GPU GI CI PID Type Process name GPU Memory | 2025-12-04T09:25:20.3138116Z | ID ID Usage | 2025-12-04T09:25:20.3138456Z |=========================================================================================| 2025-12-04T09:25:20.3142439Z | No running processes found | 2025-12-04T09:25:20.3142933Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:25:21.3503029Z Command completed after 1 attempt(s). 2025-12-04T09:25:21.3607924Z Prepare all required actions 2025-12-04T09:25:21.3657025Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-12-04T09:25:21.3657348Z with: 2025-12-04T09:25:21.3657915Z github-token: *** 2025-12-04T09:25:21.3658141Z env: 2025-12-04T09:25:21.3658355Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:25:21.3658608Z HAS_NVIDIA_GPU: true 2025-12-04T09:25:21.3658916Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:25:21.3659265Z ##[endgroup] 2025-12-04T09:25:21.3674131Z ##[group]Run set -eux 2025-12-04T09:25:21.3674385Z set -eux 2025-12-04T09:25:21.3674797Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-12-04T09:25:21.3690549Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:25:21.3690901Z env: 2025-12-04T09:25:21.3691108Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:25:21.3691364Z HAS_NVIDIA_GPU: true 2025-12-04T09:25:21.3691704Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:25:21.3692169Z GITHUB_TOKEN: *** 2025-12-04T09:25:21.3692392Z ##[endgroup] 2025-12-04T09:25:21.3735569Z + python3 .github/scripts/get_workflow_job_id.py 19922826259 i-0685a2a28d389e1fa 2025-12-04T09:25:22.9515994Z Setting output job-id=57118183233 2025-12-04T09:25:22.9516795Z Setting output job-name=linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck / test (default, 8, 8, linux.g5.4xlarge.nvidia.gpu, module:slowgradcheck, rerun_disabled_tests) 2025-12-04T09:25:22.9632452Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-12-04T09:25:22.9633130Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-12-04T09:25:22.9634012Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-12-04T09:25:22.9634776Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:25:22.9644083Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:25:22.9644443Z env: 2025-12-04T09:25:22.9644652Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:25:22.9644902Z HAS_NVIDIA_GPU: true 2025-12-04T09:25:22.9645203Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:25:22.9645542Z JOB_ID: 57118183233 2025-12-04T09:25:22.9646223Z JOB_NAME: linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck / test (default, 8, 8, linux.g5.4xlarge.nvidia.gpu, module:slowgradcheck, rerun_disabled_tests) 2025-12-04T09:25:22.9646932Z WORKFLOW_NAME: periodic 2025-12-04T09:25:22.9647186Z WORKFLOW_RUN_ID: 19922826259 2025-12-04T09:25:22.9647645Z MONITOR_LOG_INTERVAL: 5 2025-12-04T09:25:22.9647916Z MONITOR_DATA_COLLECT_INTERVAL: 1 2025-12-04T09:25:22.9648183Z ##[endgroup] 2025-12-04T09:25:23.2573675Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T09:25:23.6653844Z Collecting psutil==5.9.8 2025-12-04T09:25:23.6811558Z Downloading psutil-5.9.8-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (288 kB) 2025-12-04T09:25:23.7614843Z Collecting dataclasses_json==0.6.7 2025-12-04T09:25:23.7648653Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-12-04T09:25:23.7951424Z Collecting nvidia-ml-py==11.525.84 2025-12-04T09:25:23.7981858Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-12-04T09:25:23.9270947Z Collecting marshmallow<4.0.0,>=3.18.0 2025-12-04T09:25:23.9301894Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-12-04T09:25:23.9540174Z Collecting typing-inspect<1,>=0.4.0 2025-12-04T09:25:23.9572354Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-12-04T09:25:24.0155313Z Collecting packaging>=17.0 2025-12-04T09:25:24.0187470Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-12-04T09:25:24.0426302Z Collecting mypy-extensions>=0.3.0 2025-12-04T09:25:24.0458464Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-12-04T09:25:24.0976074Z Collecting typing-extensions>=3.7.4 2025-12-04T09:25:24.1007567Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-12-04T09:25:24.1934650Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json 2025-12-04T09:25:24.4703485Z Successfully installed dataclasses-json-0.6.7 marshmallow-3.26.1 mypy-extensions-1.1.0 nvidia-ml-py-11.525.84 packaging-25.0 psutil-5.9.8 typing-extensions-4.15.0 typing-inspect-0.9.0 2025-12-04T09:25:24.6690295Z Prepare all required actions 2025-12-04T09:25:24.6691110Z Getting action download info 2025-12-04T09:25:24.8350456Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-12-04T09:25:25.1050229Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-12-04T09:25:25.4779273Z ##[group]Run ./.github/actions/download-build-artifacts 2025-12-04T09:25:25.4779606Z with: 2025-12-04T09:25:25.4779872Z name: linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck 2025-12-04T09:25:25.4780226Z s3-bucket: gha-artifacts 2025-12-04T09:25:25.4780805Z env: 2025-12-04T09:25:25.4781004Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:25:25.4781246Z HAS_NVIDIA_GPU: true 2025-12-04T09:25:25.4781546Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:25:25.4781870Z ##[endgroup] 2025-12-04T09:25:25.4811820Z ##[group]Run seemethere/download-artifact-s3@v4 2025-12-04T09:25:25.4812171Z with: 2025-12-04T09:25:25.4812439Z name: linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck 2025-12-04T09:25:25.4812798Z s3-bucket: gha-artifacts 2025-12-04T09:25:25.4813055Z region: us-east-1 2025-12-04T09:25:25.4813274Z env: 2025-12-04T09:25:25.4813473Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:25:25.4813728Z HAS_NVIDIA_GPU: true 2025-12-04T09:25:25.4814034Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:25:25.4814399Z ##[endgroup] 2025-12-04T09:25:25.9380360Z (node:59422) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-12-04T09:25:25.9380841Z 2025-12-04T09:25:25.9381025Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-12-04T09:25:25.9381528Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-12-04T09:25:25.9382054Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-12-04T09:25:26.2189908Z Found 1 objects with prefix pytorch/pytorch/19922826259/linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck/ 2025-12-04T09:25:26.2190666Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-12-04T09:25:33.5660335Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-12-04T09:25:33.5665866Z Artifact download has finished successfully 2025-12-04T09:25:33.6039545Z ##[group]Run unzip -o artifacts.zip 2025-12-04T09:25:33.6039871Z unzip -o artifacts.zip 2025-12-04T09:25:33.6049914Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:25:33.6050275Z env: 2025-12-04T09:25:33.6050482Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:25:33.6050741Z HAS_NVIDIA_GPU: true 2025-12-04T09:25:33.6051054Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:25:33.6051389Z ##[endgroup] 2025-12-04T09:25:33.6126136Z Archive: artifacts.zip 2025-12-04T09:25:33.6127757Z creating: dist/ 2025-12-04T09:25:35.6817201Z inflating: 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2025-12-04T09:25:44.6789038Z inflating: .additional_ci_files/test-class-times.json 2025-12-04T09:25:44.6830053Z ##[group]Run rm artifacts.zip 2025-12-04T09:25:44.6830355Z rm artifacts.zip 2025-12-04T09:25:44.6843015Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:25:44.6843373Z env: 2025-12-04T09:25:44.6843754Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:25:44.6844013Z HAS_NVIDIA_GPU: true 2025-12-04T09:25:44.6844309Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:25:44.6844656Z ##[endgroup] 2025-12-04T09:25:44.8321234Z ##[group]Run df -H 2025-12-04T09:25:44.8321475Z df -H 2025-12-04T09:25:44.8330527Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:25:44.8330873Z env: 2025-12-04T09:25:44.8331077Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:25:44.8331320Z HAS_NVIDIA_GPU: true 2025-12-04T09:25:44.8331617Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:25:44.8331941Z ##[endgroup] 2025-12-04T09:25:44.8383327Z Filesystem Size Used Avail Use% Mounted on 2025-12-04T09:25:44.8383720Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-12-04T09:25:44.8384046Z tmpfs 34G 0 34G 0% /dev/shm 2025-12-04T09:25:44.8384359Z tmpfs 14G 562k 14G 1% /run 2025-12-04T09:25:44.8384667Z /dev/nvme0n1p1 161G 54G 108G 34% / 2025-12-04T09:25:44.8384996Z tmpfs 34G 17k 34G 1% /tmp 2025-12-04T09:25:44.8385318Z /dev/nvme0n1p128 11M 1.4M 9.2M 13% /boot/efi 2025-12-04T09:25:44.8385680Z tmpfs 6.7G 0 6.7G 0% /run/user/0 2025-12-04T09:25:44.8420140Z Prepare all required actions 2025-12-04T09:25:44.8421168Z Getting action download info 2025-12-04T09:25:45.0222699Z ##[group]Run ./.github/actions/download-td-artifacts 2025-12-04T09:25:45.0223019Z with: 2025-12-04T09:25:45.0223212Z env: 2025-12-04T09:25:45.0223410Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:25:45.0223654Z HAS_NVIDIA_GPU: true 2025-12-04T09:25:45.0223950Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:25:45.0224283Z ##[endgroup] 2025-12-04T09:25:45.0308941Z ##[group]Run seemethere/download-artifact-s3@v4 2025-12-04T09:25:45.0309266Z with: 2025-12-04T09:25:45.0309454Z name: td_results 2025-12-04T09:25:45.0309724Z s3-bucket: gha-artifacts 2025-12-04T09:25:45.0310002Z region: us-east-1 2025-12-04T09:25:45.0310213Z env: 2025-12-04T09:25:45.0310420Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:25:45.0310697Z HAS_NVIDIA_GPU: true 2025-12-04T09:25:45.0311167Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:25:45.0311719Z ##[endgroup] 2025-12-04T09:25:45.7933600Z (node:59445) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-12-04T09:25:45.7934081Z 2025-12-04T09:25:45.7934260Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-12-04T09:25:45.7934760Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-12-04T09:25:45.7935263Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-12-04T09:25:45.8970238Z Found 1 objects with prefix pytorch/pytorch/19922826259/td_results/ 2025-12-04T09:25:45.8970836Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json 2025-12-04T09:25:45.9602226Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json 2025-12-04T09:25:45.9607441Z Artifact download has finished successfully 2025-12-04T09:25:45.9949743Z ##[group]Run mkdir -p .additional_ci_files 2025-12-04T09:25:45.9950130Z mkdir -p .additional_ci_files 2025-12-04T09:25:45.9950544Z mv td_results.json .additional_ci_files/td_results.json || true 2025-12-04T09:25:45.9960017Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:25:45.9960373Z env: 2025-12-04T09:25:45.9960585Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:25:45.9960872Z HAS_NVIDIA_GPU: true 2025-12-04T09:25:45.9961173Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:25:45.9961512Z ##[endgroup] 2025-12-04T09:25:46.0067940Z ##[group]Run .github/scripts/parse_ref.py 2025-12-04T09:25:46.0068308Z .github/scripts/parse_ref.py 2025-12-04T09:25:46.0076739Z shell: /usr/bin/bash -e {0} 2025-12-04T09:25:46.0076999Z env: 2025-12-04T09:25:46.0077203Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:25:46.0077461Z HAS_NVIDIA_GPU: true 2025-12-04T09:25:46.0077769Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:25:46.0078185Z ##[endgroup] 2025-12-04T09:25:46.0308447Z Setting output branch=main 2025-12-04T09:25:46.0431243Z Prepare all required actions 2025-12-04T09:25:46.0431605Z Getting action download info 2025-12-04T09:25:46.1878313Z ##[group]Run ./.github/actions/filter-test-configs 2025-12-04T09:25:46.1878637Z with: 2025-12-04T09:25:46.1878994Z github-token: *** 2025-12-04T09:25:46.1886746Z test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 1, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 2, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 2, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 3, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 3, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 4, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 4, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 5, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 5, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 6, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 6, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 7, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 7, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 8, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 8, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests"}]} 2025-12-04T09:25:46.1895598Z job-name: linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck / test (default, 8, 8, linux.g5.4xlarge.nvidia.gpu, module:slowgradcheck, rerun_disabled_tests) 2025-12-04T09:25:46.1896283Z env: 2025-12-04T09:25:46.1896480Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:25:46.1896738Z HAS_NVIDIA_GPU: true 2025-12-04T09:25:46.1897035Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:25:46.1897368Z ##[endgroup] 2025-12-04T09:25:46.1933088Z ##[group]Run nick-fields/retry@v3.0.0 2025-12-04T09:25:46.1933385Z with: 2025-12-04T09:25:46.1933572Z shell: bash 2025-12-04T09:25:46.1933802Z timeout_minutes: 10 2025-12-04T09:25:46.1934050Z max_attempts: 5 2025-12-04T09:25:46.1934282Z retry_wait_seconds: 30 2025-12-04T09:25:46.1935017Z command: set -eux # PyYAML 6.0 doesn't work with MacOS x86 anymore # This must run on Python-3.7 (AmazonLinux2) so can't use request=3.32.2 python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-12-04T09:25:46.1935994Z polling_interval_seconds: 1 2025-12-04T09:25:46.1936262Z warning_on_retry: true 2025-12-04T09:25:46.1936531Z continue_on_error: false 2025-12-04T09:25:46.1936787Z env: 2025-12-04T09:25:46.1937011Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:25:46.1937264Z HAS_NVIDIA_GPU: true 2025-12-04T09:25:46.1937580Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:25:46.1938076Z GITHUB_TOKEN: *** 2025-12-04T09:25:46.1938302Z ##[endgroup] 2025-12-04T09:25:46.2963123Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-12-04T09:25:46.5328320Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T09:25:46.6591983Z Collecting requests==2.27.1 2025-12-04T09:25:46.6756826Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-12-04T09:25:46.8740178Z Collecting pyyaml==6.0.2 2025-12-04T09:25:46.8776582Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB) 2025-12-04T09:25:46.9025530Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-12-04T09:25:46.9027058Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-12-04T09:25:47.3371300Z Collecting charset-normalizer~=2.0.0 2025-12-04T09:25:47.3406895Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-12-04T09:25:47.3965183Z Collecting certifi>=2017.4.17 2025-12-04T09:25:47.4000971Z Downloading certifi-2025.11.12-py3-none-any.whl (159 kB) 2025-12-04T09:25:47.4889901Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-12-04T09:25:47.6107022Z Successfully installed certifi-2025.11.12 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-12-04T09:25:48.2720252Z Command completed after 1 attempt(s). 2025-12-04T09:25:48.2787577Z ##[group]Run set -x 2025-12-04T09:25:48.2787814Z set -x 2025-12-04T09:25:48.2788638Z  2025-12-04T09:25:48.2789026Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-12-04T09:25:48.2789479Z # in runner workspace 2025-12-04T09:25:48.2789853Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-12-04T09:25:48.2799236Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:25:48.2799585Z env: 2025-12-04T09:25:48.2799780Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:25:48.2800037Z HAS_NVIDIA_GPU: true 2025-12-04T09:25:48.2800389Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:25:48.2800713Z ##[endgroup] 2025-12-04T09:25:48.2832307Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-12-04T09:25:48.3017779Z Setting output branch=main 2025-12-04T09:25:48.3074131Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-12-04T09:25:48.3074522Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-12-04T09:25:48.3074860Z echo "Job name: ${JOB_NAME}" 2025-12-04T09:25:48.3075144Z  2025-12-04T09:25:48.3075550Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-12-04T09:25:48.3076007Z # in runner workspace 2025-12-04T09:25:48.3076414Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-12-04T09:25:48.3076853Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-12-04T09:25:48.3077172Z  --job-name "${JOB_NAME}" \ 2025-12-04T09:25:48.3085386Z  --test-matrix "{"include": [{"config": "default", "shard": 1, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 1, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 2, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 2, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 3, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 3, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 4, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 4, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 5, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 5, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 6, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 6, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 7, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 7, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 8, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 8, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests"}]}" \ 2025-12-04T09:25:48.3093870Z  --selected-test-configs "" \ 2025-12-04T09:25:48.3094192Z  --pr-number "${PR_NUMBER}" \ 2025-12-04T09:25:48.3094534Z  --tag "${TAG}" \ 2025-12-04T09:25:48.3094814Z  --event-name "${EVENT_NAME}" \ 2025-12-04T09:25:48.3095123Z  --schedule "${SCHEDULE}" \ 2025-12-04T09:25:48.3095415Z  --branch "${HEAD_BRANCH}" 2025-12-04T09:25:48.3104549Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:25:48.3104906Z env: 2025-12-04T09:25:48.3105157Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:25:48.3105406Z HAS_NVIDIA_GPU: true 2025-12-04T09:25:48.3105702Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:25:48.3106243Z GITHUB_TOKEN: *** 2025-12-04T09:25:48.3106886Z JOB_NAME: linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck / test (default, 8, 8, linux.g5.4xlarge.nvidia.gpu, module:slowgradcheck, rerun_disabled_tests) 2025-12-04T09:25:48.3107583Z PR_NUMBER: 2025-12-04T09:25:48.3107794Z TAG: 2025-12-04T09:25:48.3107984Z EVENT_NAME: schedule 2025-12-04T09:25:48.3108221Z SCHEDULE: 29 8 * * * 2025-12-04T09:25:48.3108446Z HEAD_BRANCH: main 2025-12-04T09:25:48.3108659Z ##[endgroup] 2025-12-04T09:25:48.3137917Z Workflow: periodic 2025-12-04T09:25:48.3138585Z Job name: linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck / test (default, 8, 8, linux.g5.4xlarge.nvidia.gpu, module:slowgradcheck, rerun_disabled_tests) 2025-12-04T09:25:48.5111880Z Setting output keep-going=True 2025-12-04T09:25:48.5112231Z Setting output ci-verbose-test-logs=False 2025-12-04T09:25:48.5112559Z Setting output ci-test-showlocals=False 2025-12-04T09:25:48.5112880Z Setting output ci-no-test-timeout=False 2025-12-04T09:25:48.5113218Z Setting output ci-no-td=False 2025-12-04T09:25:48.5113733Z Setting output ci-td-distributed=False 2025-12-04T09:25:48.5114047Z Setting output is-unstable=False 2025-12-04T09:25:48.5114337Z Setting output reenabled-issues= 2025-12-04T09:25:48.5131992Z Setting output test-matrix={"include": [{"config": "default", "shard": 1, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 1, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 1, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 1, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 2, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 2, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 2, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 2, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 3, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 3, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 3, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 3, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 4, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 4, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 4, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 4, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 5, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 5, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 5, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 5, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 6, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 6, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 6, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 6, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 7, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 7, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 7, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 7, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 8, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 8, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 8, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 8, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests"}]} 2025-12-04T09:25:48.5149750Z Setting output is-test-matrix-empty=False 2025-12-04T09:25:48.5253773Z ##[group]Run echo "Filtered matrix:" 2025-12-04T09:25:48.5254126Z echo "Filtered matrix:" 2025-12-04T09:25:48.5271617Z echo "{"include": [{"config": "default", "shard": 1, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 1, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 1, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 1, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 2, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 2, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 2, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 2, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 3, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 3, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 3, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 3, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 4, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 4, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 4, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 4, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 5, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 5, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 5, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 5, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 6, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 6, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 6, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 6, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 7, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 7, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 7, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 7, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 8, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 8, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 8, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 8, "num_shards": 8, "runner": "linux.g5.4xlarge.nvidia.gpu", "owners": ["module:slowgradcheck"], "rerun_disabled_tests": "rerun_disabled_tests"}]}" 2025-12-04T09:25:48.5289445Z  2025-12-04T09:25:48.5289641Z echo 2025-12-04T09:25:48.5289905Z echo "Is the current job unstable? False" 2025-12-04T09:25:48.5290212Z  2025-12-04T09:25:48.5290404Z echo 2025-12-04T09:25:48.5290654Z echo "Is keep-going label set? True" 2025-12-04T09:25:48.5290953Z  2025-12-04T09:25:48.5291143Z echo 2025-12-04T09:25:48.5291376Z echo "Reenabled issues? " 2025-12-04T09:25:48.5300553Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:25:48.5300903Z env: 2025-12-04T09:25:48.5301117Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:25:48.5301365Z HAS_NVIDIA_GPU: true 2025-12-04T09:25:48.5301665Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:25:48.5302006Z ##[endgroup] 2025-12-04T09:25:48.5332520Z Filtered matrix: 2025-12-04T09:25:48.5354427Z {include: [{config: default, shard: 1, num_shards: 8, runner: linux.g5.4xlarge.nvidia.gpu, owners: [module:slowgradcheck], mem_leak_check: mem_leak_check}, {config: default, shard: 1, num_shards: 8, runner: linux.g5.4xlarge.nvidia.gpu, owners: [module:slowgradcheck], mem_leak_check: mem_leak_check, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 1, num_shards: 8, runner: linux.g5.4xlarge.nvidia.gpu, owners: [module:slowgradcheck], rerun_disabled_tests: rerun_disabled_tests, mem_leak_check: mem_leak_check}, {config: default, shard: 1, num_shards: 8, runner: linux.g5.4xlarge.nvidia.gpu, owners: [module:slowgradcheck], rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 2, num_shards: 8, runner: linux.g5.4xlarge.nvidia.gpu, owners: [module:slowgradcheck], mem_leak_check: mem_leak_check}, {config: default, shard: 2, num_shards: 8, runner: linux.g5.4xlarge.nvidia.gpu, owners: [module:slowgradcheck], mem_leak_check: mem_leak_check, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 2, num_shards: 8, runner: linux.g5.4xlarge.nvidia.gpu, owners: [module:slowgradcheck], rerun_disabled_tests: rerun_disabled_tests, mem_leak_check: mem_leak_check}, {config: default, shard: 2, num_shards: 8, runner: linux.g5.4xlarge.nvidia.gpu, owners: [module:slowgradcheck], rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 3, num_shards: 8, runner: linux.g5.4xlarge.nvidia.gpu, owners: [module:slowgradcheck], mem_leak_check: mem_leak_check}, {config: default, shard: 3, num_shards: 8, runner: linux.g5.4xlarge.nvidia.gpu, owners: [module:slowgradcheck], mem_leak_check: mem_leak_check, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 3, num_shards: 8, runner: linux.g5.4xlarge.nvidia.gpu, owners: [module:slowgradcheck], rerun_disabled_tests: rerun_disabled_tests, mem_leak_check: mem_leak_check}, {config: default, shard: 3, num_shards: 8, runner: linux.g5.4xlarge.nvidia.gpu, owners: [module:slowgradcheck], rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 4, num_shards: 8, runner: linux.g5.4xlarge.nvidia.gpu, owners: [module:slowgradcheck], mem_leak_check: mem_leak_check}, {config: default, shard: 4, num_shards: 8, runner: linux.g5.4xlarge.nvidia.gpu, owners: [module:slowgradcheck], mem_leak_check: mem_leak_check, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 4, num_shards: 8, runner: linux.g5.4xlarge.nvidia.gpu, owners: [module:slowgradcheck], rerun_disabled_tests: rerun_disabled_tests, mem_leak_check: mem_leak_check}, {config: default, shard: 4, num_shards: 8, runner: linux.g5.4xlarge.nvidia.gpu, owners: [module:slowgradcheck], rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 5, num_shards: 8, runner: linux.g5.4xlarge.nvidia.gpu, owners: [module:slowgradcheck], mem_leak_check: mem_leak_check}, {config: default, shard: 5, num_shards: 8, runner: linux.g5.4xlarge.nvidia.gpu, owners: [module:slowgradcheck], mem_leak_check: mem_leak_check, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 5, num_shards: 8, runner: linux.g5.4xlarge.nvidia.gpu, owners: [module:slowgradcheck], rerun_disabled_tests: rerun_disabled_tests, mem_leak_check: mem_leak_check}, {config: default, shard: 5, num_shards: 8, runner: linux.g5.4xlarge.nvidia.gpu, owners: [module:slowgradcheck], rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 6, num_shards: 8, runner: linux.g5.4xlarge.nvidia.gpu, owners: [module:slowgradcheck], mem_leak_check: mem_leak_check}, {config: default, shard: 6, num_shards: 8, runner: linux.g5.4xlarge.nvidia.gpu, owners: [module:slowgradcheck], mem_leak_check: mem_leak_check, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 6, num_shards: 8, runner: linux.g5.4xlarge.nvidia.gpu, owners: [module:slowgradcheck], rerun_disabled_tests: rerun_disabled_tests, mem_leak_check: mem_leak_check}, {config: default, shard: 6, num_shards: 8, runner: linux.g5.4xlarge.nvidia.gpu, owners: [module:slowgradcheck], rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 7, num_shards: 8, runner: linux.g5.4xlarge.nvidia.gpu, owners: [module:slowgradcheck], mem_leak_check: mem_leak_check}, {config: default, shard: 7, num_shards: 8, runner: linux.g5.4xlarge.nvidia.gpu, owners: [module:slowgradcheck], mem_leak_check: mem_leak_check, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 7, num_shards: 8, runner: linux.g5.4xlarge.nvidia.gpu, owners: [module:slowgradcheck], rerun_disabled_tests: rerun_disabled_tests, mem_leak_check: mem_leak_check}, {config: default, shard: 7, num_shards: 8, runner: linux.g5.4xlarge.nvidia.gpu, owners: [module:slowgradcheck], rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 8, num_shards: 8, runner: linux.g5.4xlarge.nvidia.gpu, owners: [module:slowgradcheck], mem_leak_check: mem_leak_check}, {config: default, shard: 8, num_shards: 8, runner: linux.g5.4xlarge.nvidia.gpu, owners: [module:slowgradcheck], mem_leak_check: mem_leak_check, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 8, num_shards: 8, runner: linux.g5.4xlarge.nvidia.gpu, owners: [module:slowgradcheck], rerun_disabled_tests: rerun_disabled_tests, mem_leak_check: mem_leak_check}, {config: default, shard: 8, num_shards: 8, runner: linux.g5.4xlarge.nvidia.gpu, owners: [module:slowgradcheck], rerun_disabled_tests: rerun_disabled_tests}]} 2025-12-04T09:25:48.5371845Z 2025-12-04T09:25:48.5371961Z Is the current job unstable? False 2025-12-04T09:25:48.5372155Z 2025-12-04T09:25:48.5372270Z Is keep-going label set? True 2025-12-04T09:25:48.5372447Z 2025-12-04T09:25:48.5372555Z Reenabled issues? 2025-12-04T09:25:48.5406478Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-12-04T09:25:48.5406972Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-12-04T09:25:48.5415950Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:25:48.5416293Z env: 2025-12-04T09:25:48.5416503Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:25:48.5416757Z HAS_NVIDIA_GPU: true 2025-12-04T09:25:48.5417052Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:25:48.5417397Z JOB_TIMEOUT: 300 2025-12-04T09:25:48.5417616Z ##[endgroup] 2025-12-04T09:25:48.5474975Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:25:48.5475477Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:25:48.5475908Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:25:48.5484316Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:25:48.5484700Z env: 2025-12-04T09:25:48.5484918Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:25:48.5485190Z HAS_NVIDIA_GPU: true 2025-12-04T09:25:48.5485505Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:25:48.5485851Z ##[endgroup] 2025-12-04T09:25:48.5600399Z ##[group]Run set -x 2025-12-04T09:25:48.5600708Z set -x 2025-12-04T09:25:48.5600919Z  2025-12-04T09:25:48.5601161Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-12-04T09:25:48.5601534Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-12-04T09:25:48.5601919Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-12-04T09:25:48.5602276Z  TEST_COMMAND=.ci/onnx/test.sh 2025-12-04T09:25:48.5602557Z else 2025-12-04T09:25:48.5602812Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-12-04T09:25:48.5603113Z fi 2025-12-04T09:25:48.5603307Z  2025-12-04T09:25:48.5603562Z # Leaving 1GB for the runner and other things 2025-12-04T09:25:48.5604118Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-12-04T09:25:48.5604923Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-12-04T09:25:48.5605596Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-12-04T09:25:48.5606111Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-12-04T09:25:48.5606509Z  2025-12-04T09:25:48.5606768Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-12-04T09:25:48.5607106Z  SHM_OPTS= 2025-12-04T09:25:48.5607347Z  JENKINS_USER= 2025-12-04T09:25:48.5607675Z  # ensure that docker container cleanly exits in 12 hours 2025-12-04T09:25:48.5608135Z  # if for some reason cleanup action doesn't stop container 2025-12-04T09:25:48.5608520Z  # when job is cancelled 2025-12-04T09:25:48.5608999Z  DOCKER_SHELL_CMD="sleep 12h" 2025-12-04T09:25:48.5609318Z  USED_IMAGE="${DOCKER_IMAGE_S390X}" 2025-12-04T09:25:48.5609615Z else 2025-12-04T09:25:48.5609885Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-12-04T09:25:48.5610237Z  JENKINS_USER="--user jenkins" 2025-12-04T09:25:48.5610532Z  DOCKER_SHELL_CMD= 2025-12-04T09:25:48.5610806Z  USED_IMAGE="${DOCKER_IMAGE}" 2025-12-04T09:25:48.5611079Z fi 2025-12-04T09:25:48.5611275Z  2025-12-04T09:25:48.5611593Z # detached container should get cleaned up by teardown_ec2_linux 2025-12-04T09:25:48.5612093Z # TODO: Stop building test binaries as part of the build phase 2025-12-04T09:25:48.5612654Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-12-04T09:25:48.5613162Z # shellcheck disable=SC2086,SC2090 2025-12-04T09:25:48.5613494Z container_name=$(docker run \ 2025-12-04T09:25:48.5613787Z  ${GPU_FLAG:-} \ 2025-12-04T09:25:48.5614078Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-12-04T09:25:48.5614419Z  -e BUILD_ENVIRONMENT \ 2025-12-04T09:25:48.5614704Z  -e PR_NUMBER \ 2025-12-04T09:25:48.5614963Z  -e GITHUB_ACTIONS \ 2025-12-04T09:25:48.5615245Z  -e GITHUB_REPOSITORY \ 2025-12-04T09:25:48.5615527Z  -e GITHUB_WORKFLOW \ 2025-12-04T09:25:48.5615788Z  -e GITHUB_JOB \ 2025-12-04T09:25:48.5616049Z  -e GITHUB_RUN_ID \ 2025-12-04T09:25:48.5616324Z  -e GITHUB_RUN_NUMBER \ 2025-12-04T09:25:48.5616607Z  -e GITHUB_RUN_ATTEMPT \ 2025-12-04T09:25:48.5616889Z  -e JOB_ID \ 2025-12-04T09:25:48.5617130Z  -e JOB_NAME \ 2025-12-04T09:25:48.5617397Z  -e BASE_SHA \ 2025-12-04T09:25:48.5617646Z  -e BRANCH \ 2025-12-04T09:25:48.5617894Z  -e SHA1 \ 2025-12-04T09:25:48.5618149Z  -e AWS_DEFAULT_REGION \ 2025-12-04T09:25:48.5618444Z  -e IN_WHEEL_TEST \ 2025-12-04T09:25:48.5618719Z  -e SHARD_NUMBER \ 2025-12-04T09:25:48.5618988Z  -e TEST_CONFIG \ 2025-12-04T09:25:48.5619256Z  -e NUM_TEST_SHARDS \ 2025-12-04T09:25:48.5619678Z  -e REENABLED_ISSUES \ 2025-12-04T09:25:48.5619979Z  -e CONTINUE_THROUGH_ERROR \ 2025-12-04T09:25:48.5620307Z  -e VERBOSE_TEST_LOGS \ 2025-12-04T09:25:48.5620632Z  -e TEST_SHOWLOCALS \ 2025-12-04T09:25:48.5620925Z  -e NO_TEST_TIMEOUT \ 2025-12-04T09:25:48.5621204Z  -e NO_TD \ 2025-12-04T09:25:48.5621447Z  -e TD_DISTRIBUTED \ 2025-12-04T09:25:48.5621729Z  -e PR_LABELS \ 2025-12-04T09:25:48.5622032Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-12-04T09:25:48.5622351Z  -e SCCACHE_BUCKET \ 2025-12-04T09:25:48.5622634Z  -e SCCACHE_REGION \ 2025-12-04T09:25:48.5622911Z  -e XLA_CUDA \ 2025-12-04T09:25:48.5623192Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-12-04T09:25:48.5623549Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-12-04T09:25:48.5623918Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-12-04T09:25:48.5624293Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-12-04T09:25:48.5624626Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-12-04T09:25:48.5624954Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-12-04T09:25:48.5625286Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-12-04T09:25:48.5625592Z  -e DASHBOARD_TAG \ 2025-12-04T09:25:48.5625871Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-12-04T09:25:48.5626223Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-12-04T09:25:48.5626617Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-12-04T09:25:48.5627013Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-12-04T09:25:48.5627403Z  --security-opt seccomp=unconfined \ 2025-12-04T09:25:48.5627732Z  --cap-add=SYS_PTRACE \ 2025-12-04T09:25:48.5628098Z  --ipc=host \ 2025-12-04T09:25:48.5628353Z  ${SHM_OPTS} \ 2025-12-04T09:25:48.5628603Z  --tty \ 2025-12-04T09:25:48.5628823Z  --detach \ 2025-12-04T09:25:48.5629094Z  --name="${container_name}" \ 2025-12-04T09:25:48.5629396Z  ${JENKINS_USER} \ 2025-12-04T09:25:48.5629724Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-12-04T09:25:48.5630105Z  -w /var/lib/jenkins/workspace \ 2025-12-04T09:25:48.5630402Z  "${USED_IMAGE}" \ 2025-12-04T09:25:48.5630667Z  ${DOCKER_SHELL_CMD} 2025-12-04T09:25:48.5640451Z ) 2025-12-04T09:25:48.5640790Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-12-04T09:25:48.5641187Z  2025-12-04T09:25:48.5641460Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-12-04T09:25:48.5642010Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-12-04T09:25:48.5642522Z fi 2025-12-04T09:25:48.5642745Z  2025-12-04T09:25:48.5643227Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-12-04T09:25:48.5652105Z shell: /usr/bin/bash -e {0} 2025-12-04T09:25:48.5652366Z env: 2025-12-04T09:25:48.5652588Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:25:48.5652864Z HAS_NVIDIA_GPU: true 2025-12-04T09:25:48.5653194Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:25:48.5653716Z BUILD_ENVIRONMENT: linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck 2025-12-04T09:25:48.5654167Z PR_NUMBER: 2025-12-04T09:25:48.5654433Z GITHUB_REPOSITORY: pytorch/pytorch 2025-12-04T09:25:48.5654773Z GITHUB_WORKFLOW: periodic 2025-12-04T09:25:48.5655052Z GITHUB_JOB: test 2025-12-04T09:25:48.5655287Z GITHUB_RUN_ID: 19922826259 2025-12-04T09:25:48.5655571Z GITHUB_RUN_NUMBER: 19107 2025-12-04T09:25:48.5655856Z GITHUB_RUN_ATTEMPT: 1 2025-12-04T09:25:48.5656103Z JOB_ID: 57118183233 2025-12-04T09:25:48.5656983Z JOB_NAME: linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck / test (default, 8, 8, linux.g5.4xlarge.nvidia.gpu, module:slowgradcheck, rerun_disabled_tests) 2025-12-04T09:25:48.5657681Z BRANCH: main 2025-12-04T09:25:48.5657934Z SHA1: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:25:48.5658307Z BASE_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:25:48.5658640Z TEST_CONFIG: default 2025-12-04T09:25:48.5658879Z SHARD_NUMBER: 8 2025-12-04T09:25:48.5659087Z NUM_TEST_SHARDS: 8 2025-12-04T09:25:48.5659311Z EXTRA_FLAGS: 2025-12-04T09:25:48.5659532Z OP_BENCHMARK_TESTS: 2025-12-04T09:25:48.5659765Z REENABLED_ISSUES: 2025-12-04T09:25:48.5660009Z CONTINUE_THROUGH_ERROR: True 2025-12-04T09:25:48.5660283Z VERBOSE_TEST_LOGS: False 2025-12-04T09:25:48.5660533Z TEST_SHOWLOCALS: False 2025-12-04T09:25:48.5660784Z NO_TEST_TIMEOUT: False 2025-12-04T09:25:48.5661021Z NO_TD: False 2025-12-04T09:25:48.5661231Z TD_DISTRIBUTED: False 2025-12-04T09:25:48.5661530Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-12-04T09:25:48.5661878Z SCCACHE_REGION: us-east-1 2025-12-04T09:25:48.5662128Z SHM_SIZE: 2g 2025-12-04T09:25:48.5662848Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:25:48.5664159Z DOCKER_IMAGE_S390X: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:25:48.5664953Z XLA_CUDA: 2025-12-04T09:25:48.5665300Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-12-04T09:25:48.5665733Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-12-04T09:25:48.5666046Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 1 2025-12-04T09:25:48.5666333Z DASHBOARD_TAG: 2025-12-04T09:25:48.5666745Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-12-04T09:25:48.5667229Z HUGGING_FACE_HUB_TOKEN: *** 2025-12-04T09:25:48.5667620Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-12-04T09:25:48.5668065Z ARTIFACTS_FILE_SUFFIX: test-default-8-8-linux.g5.4xlarge.nvidia.gpu_57118183233 2025-12-04T09:25:48.5668519Z ##[endgroup] 2025-12-04T09:25:48.5697947Z + [[ default == \m\u\l\t\i\g\p\u ]] 2025-12-04T09:25:48.5698438Z + [[ linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck == *onnx* ]] 2025-12-04T09:25:48.5698844Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-12-04T09:25:48.5701475Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-12-04T09:25:48.5727302Z + TOTAL_AVAILABLE_MEMORY_IN_GB='61.094 ' 2025-12-04T09:25:48.5727642Z + TOTAL_MEMORY_WITH_SWAP=64 2025-12-04T09:25:48.5728106Z + [[ linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck == *\s\3\9\0\x* ]] 2025-12-04T09:25:48.5728513Z + SHM_OPTS=--shm-size=2g 2025-12-04T09:25:48.5728768Z + JENKINS_USER='--user jenkins' 2025-12-04T09:25:48.5729017Z + DOCKER_SHELL_CMD= 2025-12-04T09:25:48.5729755Z + USED_IMAGE=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:25:48.5736701Z +++ nproc --ignore=2 2025-12-04T09:25:48.5773179Z ++ docker run --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all -e BUILD_ENVIRONMENT -e PR_NUMBER -e GITHUB_ACTIONS -e GITHUB_REPOSITORY -e GITHUB_WORKFLOW -e GITHUB_JOB -e GITHUB_RUN_ID -e GITHUB_RUN_NUMBER -e GITHUB_RUN_ATTEMPT -e JOB_ID -e JOB_NAME -e BASE_SHA -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e TEST_CONFIG -e NUM_TEST_SHARDS -e REENABLED_ISSUES -e CONTINUE_THROUGH_ERROR -e VERBOSE_TEST_LOGS -e TEST_SHOWLOCALS -e NO_TEST_TIMEOUT -e NO_TD -e TD_DISTRIBUTED -e PR_LABELS -e MAX_JOBS=14 -e SCCACHE_BUCKET -e SCCACHE_REGION -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS -e SKIP_SCCACHE_INITIALIZATION=1 -e HUGGING_FACE_HUB_TOKEN -e VLLM_TEST_HUGGING_FACE_TOKEN -e SCRIBE_GRAPHQL_ACCESS_TOKEN -e DASHBOARD_TAG -e ARTIFACTS_FILE_SUFFIX --memory=61g --memory-swap=64g --env-file=/tmp/github_env_19922826259 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=2g --tty --detach --name= --user jenkins -v /home/ec2-user/actions-runner/_work/pytorch/pytorch:/var/lib/jenkins/workspace -w /var/lib/jenkins/workspace 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:25:56.8425578Z + container_name=e1d3505956b19aa2304f0033887702c0bb4bb6f4f2a2baedd42f4edc67ea0832 2025-12-04T09:25:56.8426269Z + echo DOCKER_CONTAINER_ID=e1d3505956b19aa2304f0033887702c0bb4bb6f4f2a2baedd42f4edc67ea0832 2025-12-04T09:25:56.8426873Z + [[ linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck == *\s\3\9\0\x* ]] 2025-12-04T09:25:56.8434359Z ++ echo dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl 2025-12-04T09:25:56.8438205Z + docker exec -t e1d3505956b19aa2304f0033887702c0bb4bb6f4f2a2baedd42f4edc67ea0832 sh -c 'python3 -m pip install dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-12-04T09:25:57.3116241Z Processing ./dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl (from torch==2.10.0a0+gitffd9b0f) 2025-12-04T09:25:57.6351420Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.18.0) 2025-12-04T09:25:57.6353395Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (4.12.2) 2025-12-04T09:25:57.6358325Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (1.13.3) 2025-12-04T09:25:57.6363286Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (2.8.8) 2025-12-04T09:25:57.6367096Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.1.6) 2025-12-04T09:25:57.6371800Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (2025.10.0) 2025-12-04T09:25:57.6385334Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.3.0) 2025-12-04T09:25:57.6780529Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from opt-einsum>=3.3->torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (1.22.4) 2025-12-04T09:25:57.6798759Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from sympy>=1.13.3->torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (1.3.0) 2025-12-04T09:25:57.6856641Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.0.3) 2025-12-04T09:25:58.0664596Z Installing collected packages: torch 2025-12-04T09:26:09.5139565Z Successfully installed torch-2.10.0a0+gitffd9b0f 2025-12-04T09:26:09.5881460Z + export TERM=vt100 2025-12-04T09:26:09.5881825Z + TERM=vt100 2025-12-04T09:26:09.5885202Z ++ dirname .ci/pytorch/test.sh 2025-12-04T09:26:09.5898078Z + source .ci/pytorch/common.sh 2025-12-04T09:26:09.5901429Z +++ dirname .ci/pytorch/common.sh 2025-12-04T09:26:09.5910727Z ++ source .ci/pytorch/common_utils.sh 2025-12-04T09:26:09.5911223Z +++ declare -f -t trap_add 2025-12-04T09:26:09.5916648Z ++ set -ex -o pipefail 2025-12-04T09:26:09.5917017Z ++ [[ linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck == *rocm* ]] 2025-12-04T09:26:09.5917433Z ++ BUILD_TEST_LIBTORCH=0 2025-12-04T09:26:09.5921048Z ++ dirname .ci/pytorch/test.sh 2025-12-04T09:26:09.5929336Z + source .ci/pytorch/common-build.sh 2025-12-04T09:26:09.5930795Z ++ [[ linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck != *win-* ]] 2025-12-04T09:26:09.5938471Z ++++ dirname .ci/pytorch/common-build.sh 2025-12-04T09:26:09.5947364Z +++ cd .ci/pytorch 2025-12-04T09:26:09.5947612Z +++ pwd -P 2025-12-04T09:26:09.5995925Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-12-04T09:26:09.5996408Z ++ [[ linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck == *-pch* ]] 2025-12-04T09:26:09.5996796Z ++ which sccache 2025-12-04T09:26:09.6058048Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-12-04T09:26:09.6058394Z ++ sccache --stop-server 2025-12-04T09:26:09.6105210Z ++ true 2025-12-04T09:26:09.6117362Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-12-04T09:26:09.6117693Z ++ trap_add sccache_epilogue EXIT 2025-12-04T09:26:09.6118067Z ++ trap_add_cmd=sccache_epilogue 2025-12-04T09:26:09.6118332Z ++ shift 2025-12-04T09:26:09.6118566Z ++ for trap_add_name in "$@" 2025-12-04T09:26:09.6125067Z ++++ trap -p EXIT 2025-12-04T09:26:09.6128689Z +++ eval 'extract_trap_cmd ' 2025-12-04T09:26:09.6128959Z ++++ extract_trap_cmd 2025-12-04T09:26:09.6129191Z ++++ printf '%s\n' '' 2025-12-04T09:26:09.6129445Z +++ printf '%s\n' sccache_epilogue 2025-12-04T09:26:09.6132577Z ++ trap -- ' 2025-12-04T09:26:09.6132815Z sccache_epilogue' EXIT 2025-12-04T09:26:09.6133096Z ++ [[ -n 1 ]] 2025-12-04T09:26:09.6133475Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-12-04T09:26:09.6134034Z Skipping sccache server initialization, setting environment variables 2025-12-04T09:26:09.6134452Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:26:09.6134732Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:26:09.6135065Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:26:09.6135531Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:26:09.6142345Z ++ export RUST_LOG=sccache::server=error 2025-12-04T09:26:09.6142892Z ++ RUST_LOG=sccache::server=error 2025-12-04T09:26:09.6143172Z ++ sccache --zero-stats 2025-12-04T09:26:09.9675875Z Statistics zeroed. 2025-12-04T09:26:09.9684567Z ++ which ccache 2025-12-04T09:26:09.9773240Z + [[ linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck != *rocm* ]] 2025-12-04T09:26:09.9773766Z + [[ linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck != *s390x* ]] 2025-12-04T09:26:09.9774171Z + [[ -d /var/lib/jenkins/workspace ]] 2025-12-04T09:26:09.9776803Z ++ stat -c %u /var/lib/jenkins/workspace 2025-12-04T09:26:09.9795638Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-12-04T09:26:09.9795950Z + trap_add cleanup_workspace EXIT 2025-12-04T09:26:09.9796236Z + trap_add_cmd=cleanup_workspace 2025-12-04T09:26:09.9796497Z + shift 2025-12-04T09:26:09.9796705Z + for trap_add_name in "$@" 2025-12-04T09:26:09.9804542Z +++ trap -p EXIT 2025-12-04T09:26:09.9807819Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-12-04T09:26:09.9808133Z sccache_epilogue'\'' EXIT' 2025-12-04T09:26:09.9808404Z +++ extract_trap_cmd trap -- ' 2025-12-04T09:26:09.9808669Z sccache_epilogue' EXIT 2025-12-04T09:26:09.9808905Z +++ printf '%s\n' ' 2025-12-04T09:26:09.9809121Z sccache_epilogue' 2025-12-04T09:26:09.9809357Z ++ printf '%s\n' cleanup_workspace 2025-12-04T09:26:09.9811536Z + trap -- ' 2025-12-04T09:26:09.9811767Z sccache_epilogue 2025-12-04T09:26:09.9812069Z cleanup_workspace' EXIT 2025-12-04T09:26:09.9812357Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-12-04T09:26:11.0126695Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-12-04T09:26:11.0150177Z + [[ linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck == *cuda* ]] 2025-12-04T09:26:11.0153142Z ++ python -c 'import os;import numba.cuda; print(os.path.dirname(numba.cuda.__file__))' 2025-12-04T09:26:11.4730895Z + NUMBA_CUDA_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda 2025-12-04T09:26:11.4731492Z + '[' -n /opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda ']' 2025-12-04T09:26:11.4737387Z +++ realpath .ci/pytorch/test.sh 2025-12-04T09:26:11.4750168Z ++ dirname /var/lib/jenkins/workspace/.ci/pytorch/test.sh 2025-12-04T09:26:11.4935807Z + NUMBA_PATCH=/var/lib/jenkins/workspace/.ci/pytorch/numba-cuda-13.patch 2025-12-04T09:26:11.4936730Z + pushd /opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda 2025-12-04T09:26:11.4937271Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda ~/workspace 2025-12-04T09:26:11.4937720Z + patch -p4 2025-12-04T09:26:11.4952939Z patching file cudadrv/driver.py 2025-12-04T09:26:11.4953262Z Hunk #1 succeeded at 357 (offset -8 lines). 2025-12-04T09:26:11.5006703Z + popd 2025-12-04T09:26:11.5006920Z ~/workspace 2025-12-04T09:26:11.5007141Z + echo 'Environment variables:' 2025-12-04T09:26:11.5007421Z Environment variables: 2025-12-04T09:26:11.5007642Z + env 2025-12-04T09:26:11.5018081Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T09:26:11.5018679Z CONTINUE_THROUGH_ERROR=True 2025-12-04T09:26:11.5019193Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck 2025-12-04T09:26:11.5019820Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-12-04T09:26:11.5020091Z HOSTNAME=e1d3505956b1 2025-12-04T09:26:11.5020822Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_ec1466aa-99f9-4d46-956d-a8566edd15fc 2025-12-04T09:26:11.5021572Z GITHUB_ACTION=__run_3 2025-12-04T09:26:11.5021829Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-12-04T09:26:11.5022141Z GITHUB_RUN_NUMBER=19107 2025-12-04T09:26:11.5022471Z TEST_CONFIG=default 2025-12-04T09:26:11.5022786Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-12-04T09:26:11.5023199Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-12-04T09:26:11.5023547Z SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:26:11.5023944Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-12-04T09:26:11.5024215Z GITHUB_TRIGGERING_ACTOR=huydhn 2025-12-04T09:26:11.5024484Z GITHUB_REF_TYPE=branch 2025-12-04T09:26:11.5024766Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:26:11.5025077Z XLA_CUDA= 2025-12-04T09:26:11.5025525Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-12-04T09:26:11.5025939Z HUGGING_FACE_HUB_TOKEN=*** 2025-12-04T09:26:11.5026496Z *** 2025-12-04T09:26:11.5026721Z GITHUB_REPOSITORY_ID=65600975 2025-12-04T09:26:11.5027092Z GITHUB_ACTIONS=true 2025-12-04T09:26:11.5027433Z NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:26:11.5027862Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:26:11.5028320Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:26:11.5028686Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:26:11.5029177Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/periodic.yml@refs/heads/main 2025-12-04T09:26:11.5029624Z UCC_HOME=/usr 2025-12-04T09:26:11.5029841Z VERBOSE_TEST_LOGS=False 2025-12-04T09:26:11.5030086Z GITHUB_REF=refs/heads/main 2025-12-04T09:26:11.5030324Z SHARD_NUMBER=8 2025-12-04T09:26:11.5030547Z GITHUB_REF_PROTECTED=true 2025-12-04T09:26:11.5030794Z HOME=/var/lib/jenkins 2025-12-04T09:26:11.5031051Z GITHUB_API_URL=https://api.github.com 2025-12-04T09:26:11.5031370Z PYTORCH_TEST_RERUN_DISABLED_TESTS=1 2025-12-04T09:26:11.5031742Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-12-04T09:26:11.5032059Z USE_SYSTEM_NCCL=1 2025-12-04T09:26:11.5032267Z NUM_TEST_SHARDS=8 2025-12-04T09:26:11.5032479Z UCX_HOME=/usr 2025-12-04T09:26:11.5032997Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_ec1466aa-99f9-4d46-956d-a8566edd15fc 2025-12-04T09:26:11.5033984Z JOB_NAME=linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck / test (default, 8, 8, linux.g5.4xlarge.nvidia.gpu, module:slowgradcheck, rerun_disabled_tests) 2025-12-04T09:26:11.5034959Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_ec1466aa-99f9-4d46-956d-a8566edd15fc 2025-12-04T09:26:11.5035849Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-12-04T09:26:11.5036310Z GITHUB_EVENT_NAME=schedule 2025-12-04T09:26:11.5036553Z DASHBOARD_TAG= 2025-12-04T09:26:11.5036771Z GITHUB_RUN_ID=19922826259 2025-12-04T09:26:11.5037029Z INSTALLED_OPENBLAS= 2025-12-04T09:26:11.5037587Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_ec1466aa-99f9-4d46-956d-a8566edd15fc 2025-12-04T09:26:11.5038477Z GITHUB_ACTOR=huydhn 2025-12-04T09:26:11.5038705Z PR_NUMBER= 2025-12-04T09:26:11.5038901Z DESIRED_CUDA=12.8.1 2025-12-04T09:26:11.5039122Z GITHUB_RUN_ATTEMPT=1 2025-12-04T09:26:11.5039368Z ANACONDA_PYTHON_VERSION=3.10 2025-12-04T09:26:11.5039680Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-12-04T09:26:11.5040008Z TERM=vt100 2025-12-04T09:26:11.5040211Z INSTALLED_VISION=yes 2025-12-04T09:26:11.5040436Z BRANCH=main 2025-12-04T09:26:11.5040640Z SCCACHE_REGION=us-east-1 2025-12-04T09:26:11.5040899Z OPENSSL_ROOT_DIR=/opt/openssl 2025-12-04T09:26:11.5041167Z BUILD_AOT_INDUCTOR_TEST= 2025-12-04T09:26:11.5041407Z CUDA_PATH=/usr/local/cuda 2025-12-04T09:26:11.5041892Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-12-04T09:26:11.5042437Z GITHUB_SERVER_URL=https://github.com 2025-12-04T09:26:11.5042767Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-12-04T09:26:11.5043086Z REENABLED_ISSUES= 2025-12-04T09:26:11.5043417Z DOCS= 2025-12-04T09:26:11.5043601Z SHLVL=1 2025-12-04T09:26:11.5043793Z MAX_JOBS=14 2025-12-04T09:26:11.5043995Z GITHUB_ACTOR_ID=475357 2025-12-04T09:26:11.5044309Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:26:11.5044672Z GITHUB_REF_NAME=main 2025-12-04T09:26:11.5045032Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-12-04T09:26:11.5045435Z GITHUB_JOB=test 2025-12-04T09:26:11.5045648Z NO_TEST_TIMEOUT=False 2025-12-04T09:26:11.5045886Z TD_DISTRIBUTED=False 2025-12-04T09:26:11.5046145Z GITHUB_REPOSITORY=pytorch/pytorch 2025-12-04T09:26:11.5046424Z GITHUB_RETENTION_DAYS=90 2025-12-04T09:26:11.5046674Z OPENSSL_DIR=/opt/openssl 2025-12-04T09:26:11.5046930Z GITHUB_ACTION_REPOSITORY= 2025-12-04T09:26:11.5047630Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-12-04T09:26:11.5048462Z GITHUB_BASE_REF= 2025-12-04T09:26:11.5048678Z INSTALLED_ACL= 2025-12-04T09:26:11.5049054Z ARTIFACTS_FILE_SUFFIX=test-default-8-8-linux.g5.4xlarge.nvidia.gpu_57118183233 2025-12-04T09:26:11.5049485Z CI=true 2025-12-04T09:26:11.5049696Z GITHUB_REPOSITORY_OWNER=pytorch 2025-12-04T09:26:11.5050006Z RUST_LOG=sccache::server=error 2025-12-04T09:26:11.5050260Z JOB_ID=57118183233 2025-12-04T09:26:11.5050472Z GITHUB_HEAD_REF= 2025-12-04T09:26:11.5050684Z GITHUB_ACTION_REF= 2025-12-04T09:26:11.5050956Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-12-04T09:26:11.5051289Z TEST_SHOWLOCALS=False 2025-12-04T09:26:11.5051528Z GITHUB_WORKFLOW=periodic 2025-12-04T09:26:11.5051779Z DEBIAN_FRONTEND=noninteractive 2025-12-04T09:26:11.5052352Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_ec1466aa-99f9-4d46-956d-a8566edd15fc 2025-12-04T09:26:11.5052939Z NO_TD=False 2025-12-04T09:26:11.5053156Z SKIP_SCCACHE_INITIALIZATION=1 2025-12-04T09:26:11.5053443Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-12-04T09:26:11.5053728Z _=/usr/bin/env 2025-12-04T09:26:11.5054060Z OLDPWD=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda 2025-12-04T09:26:11.5054548Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-12-04T09:26:11.5172612Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch 2025-12-04T09:26:11.5173405Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-12-04T09:26:11.5174040Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib 2025-12-04T09:26:11.5174807Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test 2025-12-04T09:26:11.5175367Z + BUILD_DIR=build 2025-12-04T09:26:11.5175678Z + BUILD_RENAMED_DIR=build_renamed 2025-12-04T09:26:11.5176032Z + BUILD_BIN_DIR=build/bin 2025-12-04T09:26:11.5176315Z + SHARD_NUMBER=8 2025-12-04T09:26:11.5176525Z + NUM_TEST_SHARDS=8 2025-12-04T09:26:11.5176758Z + export TORCH_SERIALIZATION_DEBUG=1 2025-12-04T09:26:11.5177052Z + TORCH_SERIALIZATION_DEBUG=1 2025-12-04T09:26:11.5177632Z + export VALGRIND=ON 2025-12-04T09:26:11.5177943Z + VALGRIND=ON 2025-12-04T09:26:11.5178372Z + [[ linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck == *clang9* ]] 2025-12-04T09:26:11.5178860Z + [[ linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck == *xpu* ]] 2025-12-04T09:26:11.5179228Z + detect_cuda_arch 2025-12-04T09:26:11.5179553Z + [[ linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck == *cuda* ]] 2025-12-04T09:26:11.5180036Z + command -v nvidia-smi 2025-12-04T09:26:11.5180275Z /usr/bin/nvidia-smi 2025-12-04T09:26:11.5186211Z ++ nvidia-smi --query-gpu=compute_cap --format=csv 2025-12-04T09:26:11.5187102Z ++ tail -n 1 2025-12-04T09:26:11.5476755Z + TORCH_CUDA_ARCH_LIST=8.6 2025-12-04T09:26:11.5477039Z + export TORCH_CUDA_ARCH_LIST 2025-12-04T09:26:11.5477416Z + [[ linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck == *s390x* ]] 2025-12-04T09:26:11.5477818Z + [[ 1 == \1 ]] 2025-12-04T09:26:11.5488068Z + ulimit -c 0 2025-12-04T09:26:11.5488711Z + [[ linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck != *bazel* ]] 2025-12-04T09:26:11.5489164Z ++ realpath build/custom_test_artifacts 2025-12-04T09:26:11.5668323Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-12-04T09:26:11.5668939Z + [[ -n '' ]] 2025-12-04T09:26:11.5669176Z + echo 'Environment variables' 2025-12-04T09:26:11.5669450Z Environment variables 2025-12-04T09:26:11.5669669Z + env 2025-12-04T09:26:11.5849422Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T09:26:11.5850069Z CONTINUE_THROUGH_ERROR=True 2025-12-04T09:26:11.5850593Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck 2025-12-04T09:26:11.5851340Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-12-04T09:26:11.5851732Z HOSTNAME=e1d3505956b1 2025-12-04T09:26:11.5852300Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_ec1466aa-99f9-4d46-956d-a8566edd15fc 2025-12-04T09:26:11.5853154Z GITHUB_ACTION=__run_3 2025-12-04T09:26:11.5853520Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-12-04T09:26:11.5853914Z GITHUB_RUN_NUMBER=19107 2025-12-04T09:26:11.5854236Z TEST_CONFIG=default 2025-12-04T09:26:11.5854482Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-12-04T09:26:11.5854809Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-12-04T09:26:11.5855187Z SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:26:11.5855583Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-12-04T09:26:11.5855884Z GITHUB_TRIGGERING_ACTOR=huydhn 2025-12-04T09:26:11.5856174Z GITHUB_REF_TYPE=branch 2025-12-04T09:26:11.5856414Z TORCH_CUDA_ARCH_LIST=8.6 2025-12-04T09:26:11.5856699Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:26:11.5857025Z XLA_CUDA= 2025-12-04T09:26:11.5857244Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-12-04T09:26:11.5857814Z HUGGING_FACE_HUB_TOKEN=*** 2025-12-04T09:26:11.5858113Z *** 2025-12-04T09:26:11.5858325Z GITHUB_REPOSITORY_ID=65600975 2025-12-04T09:26:11.5858592Z GITHUB_ACTIONS=true 2025-12-04T09:26:11.5858824Z NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:26:11.5859251Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:26:11.5859698Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:26:11.5860210Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:26:11.5860803Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/periodic.yml@refs/heads/main 2025-12-04T09:26:11.5861289Z UCC_HOME=/usr 2025-12-04T09:26:11.5861517Z TORCH_SERIALIZATION_DEBUG=1 2025-12-04T09:26:11.5861856Z VERBOSE_TEST_LOGS=False 2025-12-04T09:26:11.5862159Z GITHUB_REF=refs/heads/main 2025-12-04T09:26:11.5862404Z SHARD_NUMBER=8 2025-12-04T09:26:11.5862701Z GITHUB_REF_PROTECTED=true 2025-12-04T09:26:11.5863020Z HOME=/var/lib/jenkins 2025-12-04T09:26:11.5863286Z GITHUB_API_URL=https://api.github.com 2025-12-04T09:26:11.5863619Z PYTORCH_TEST_RERUN_DISABLED_TESTS=1 2025-12-04T09:26:11.5864016Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-12-04T09:26:11.5864349Z USE_SYSTEM_NCCL=1 2025-12-04T09:26:11.5864607Z NUM_TEST_SHARDS=8 2025-12-04T09:26:11.5864873Z UCX_HOME=/usr 2025-12-04T09:26:11.5865631Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_ec1466aa-99f9-4d46-956d-a8566edd15fc 2025-12-04T09:26:11.5866813Z JOB_NAME=linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck / test (default, 8, 8, linux.g5.4xlarge.nvidia.gpu, module:slowgradcheck, rerun_disabled_tests) 2025-12-04T09:26:11.5867879Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_ec1466aa-99f9-4d46-956d-a8566edd15fc 2025-12-04T09:26:11.5868718Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-12-04T09:26:11.5869258Z GITHUB_EVENT_NAME=schedule 2025-12-04T09:26:11.5869530Z DASHBOARD_TAG= 2025-12-04T09:26:11.5869739Z GITHUB_RUN_ID=19922826259 2025-12-04T09:26:11.5870014Z INSTALLED_OPENBLAS= 2025-12-04T09:26:11.5870646Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_ec1466aa-99f9-4d46-956d-a8566edd15fc 2025-12-04T09:26:11.5871356Z GITHUB_ACTOR=huydhn 2025-12-04T09:26:11.5871584Z PR_NUMBER= 2025-12-04T09:26:11.5871821Z DESIRED_CUDA=12.8.1 2025-12-04T09:26:11.5872105Z GITHUB_RUN_ATTEMPT=1 2025-12-04T09:26:11.5872340Z VALGRIND=ON 2025-12-04T09:26:11.5872559Z ANACONDA_PYTHON_VERSION=3.10 2025-12-04T09:26:11.5872978Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-12-04T09:26:11.5873372Z TERM=vt100 2025-12-04T09:26:11.5873578Z INSTALLED_VISION=yes 2025-12-04T09:26:11.5873805Z BRANCH=main 2025-12-04T09:26:11.5874092Z SCCACHE_REGION=us-east-1 2025-12-04T09:26:11.5874359Z OPENSSL_ROOT_DIR=/opt/openssl 2025-12-04T09:26:11.5874624Z BUILD_AOT_INDUCTOR_TEST= 2025-12-04T09:26:11.5874936Z CUDA_PATH=/usr/local/cuda 2025-12-04T09:26:11.5875443Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-12-04T09:26:11.5876063Z GITHUB_SERVER_URL=https://github.com 2025-12-04T09:26:11.5876527Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-12-04T09:26:11.5876986Z REENABLED_ISSUES= 2025-12-04T09:26:11.5877196Z DOCS= 2025-12-04T09:26:11.5877387Z SHLVL=1 2025-12-04T09:26:11.5877614Z MAX_JOBS=14 2025-12-04T09:26:11.5877872Z GITHUB_ACTOR_ID=475357 2025-12-04T09:26:11.5878303Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:26:11.5878783Z GITHUB_REF_NAME=main 2025-12-04T09:26:11.5879142Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-12-04T09:26:11.5879629Z GITHUB_JOB=test 2025-12-04T09:26:11.5879850Z NO_TEST_TIMEOUT=False 2025-12-04T09:26:11.5880078Z TD_DISTRIBUTED=False 2025-12-04T09:26:11.5880381Z GITHUB_REPOSITORY=pytorch/pytorch 2025-12-04T09:26:11.5880720Z GITHUB_RETENTION_DAYS=90 2025-12-04T09:26:11.5880967Z OPENSSL_DIR=/opt/openssl 2025-12-04T09:26:11.5881250Z GITHUB_ACTION_REPOSITORY= 2025-12-04T09:26:11.5882029Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-12-04T09:26:11.5882871Z GITHUB_BASE_REF= 2025-12-04T09:26:11.5883129Z INSTALLED_ACL= 2025-12-04T09:26:11.5883556Z ARTIFACTS_FILE_SUFFIX=test-default-8-8-linux.g5.4xlarge.nvidia.gpu_57118183233 2025-12-04T09:26:11.5884052Z CI=true 2025-12-04T09:26:11.5884313Z GITHUB_REPOSITORY_OWNER=pytorch 2025-12-04T09:26:11.5884651Z RUST_LOG=sccache::server=error 2025-12-04T09:26:11.5884969Z JOB_ID=57118183233 2025-12-04T09:26:11.5885233Z GITHUB_HEAD_REF= 2025-12-04T09:26:11.5885470Z GITHUB_ACTION_REF= 2025-12-04T09:26:11.5885795Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-12-04T09:26:11.5886254Z TEST_SHOWLOCALS=False 2025-12-04T09:26:11.5886526Z GITHUB_WORKFLOW=periodic 2025-12-04T09:26:11.5886865Z DEBIAN_FRONTEND=noninteractive 2025-12-04T09:26:11.5887479Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_ec1466aa-99f9-4d46-956d-a8566edd15fc 2025-12-04T09:26:11.5888421Z NO_TD=False 2025-12-04T09:26:11.5888762Z SKIP_SCCACHE_INITIALIZATION=1 2025-12-04T09:26:11.5889085Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-12-04T09:26:11.5889576Z OLDPWD=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda 2025-12-04T09:26:11.5890247Z _=/usr/bin/env 2025-12-04T09:26:11.5890577Z + echo 'Testing pytorch' 2025-12-04T09:26:11.5890845Z Testing pytorch 2025-12-04T09:26:11.5891094Z + export LANG=C.UTF-8 2025-12-04T09:26:11.5891343Z + LANG=C.UTF-8 2025-12-04T09:26:11.5891564Z + PR_NUMBER= 2025-12-04T09:26:11.5891799Z + [[ default == \d\e\f\a\u\l\t ]] 2025-12-04T09:26:11.5892095Z + export CUDA_VISIBLE_DEVICES=0 2025-12-04T09:26:11.5892375Z + CUDA_VISIBLE_DEVICES=0 2025-12-04T09:26:11.5892650Z + export HIP_VISIBLE_DEVICES=0 2025-12-04T09:26:11.5892932Z + HIP_VISIBLE_DEVICES=0 2025-12-04T09:26:11.5893196Z + [[ default == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-12-04T09:26:11.5893512Z + [[ default == \s\l\o\w ]] 2025-12-04T09:26:11.5893922Z + [[ linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck == *slow-gradcheck* ]] 2025-12-04T09:26:11.5894396Z + export PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 2025-12-04T09:26:11.5894737Z + PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 2025-12-04T09:26:11.5895077Z + export PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 2025-12-04T09:26:11.5895423Z + PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 2025-12-04T09:26:11.5895816Z + [[ linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck == *cuda* ]] 2025-12-04T09:26:11.5896251Z + export PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-12-04T09:26:11.5896599Z + PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-12-04T09:26:11.5896905Z + [[ default == *crossref* ]] 2025-12-04T09:26:11.5897281Z + [[ linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck == *rocm* ]] 2025-12-04T09:26:11.5897908Z + [[ linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck == *xpu* ]] 2025-12-04T09:26:11.5898407Z + [[ linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck != *-bazel-* ]] 2025-12-04T09:26:11.5898832Z + pip_install ninja==1.10.2 2025-12-04T09:26:11.5899199Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-12-04T09:26:11.5899799Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-12-04T09:26:12.0917496Z Collecting ninja==1.10.2 2025-12-04T09:26:12.1151473Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-12-04T09:26:12.1376194Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-12-04T09:26:12.5352736Z Installing collected packages: ninja 2025-12-04T09:26:12.5353076Z Attempting uninstall: ninja 2025-12-04T09:26:12.5360414Z Found existing installation: ninja 1.11.1.4 2025-12-04T09:26:12.5384995Z Uninstalling ninja-1.11.1.4: 2025-12-04T09:26:12.5516545Z Successfully uninstalled ninja-1.11.1.4 2025-12-04T09:26:12.6172139Z Successfully installed ninja-1.10.2 2025-12-04T09:26:12.6773175Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-12-04T09:26:12.6774630Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-12-04T09:26:12.6775730Z + [[ linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck == *aarch64* ]] 2025-12-04T09:26:12.6776449Z + [[ linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck == *asan* ]] 2025-12-04T09:26:12.6776955Z + [[ linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck == *-debug* ]] 2025-12-04T09:26:12.6777616Z + [[ linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck != *-bazel-* ]] 2025-12-04T09:26:12.6778357Z + echo 'We are not in debug mode: linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck. Expect the assertion to pass' 2025-12-04T09:26:12.6779112Z We are not in debug mode: linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck. Expect the assertion to pass 2025-12-04T09:26:12.6779612Z + cd test 2025-12-04T09:26:12.6779937Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-12-04T09:26:14.3405510Z + [[ default == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-12-04T09:26:14.3405873Z + [[ default == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-12-04T09:26:14.3406217Z + [[ default == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-12-04T09:26:14.3410805Z + DYNAMO_BENCHMARK_FLAGS=() 2025-12-04T09:26:14.3411130Z + [[ default == *pr_time_benchmarks* ]] 2025-12-04T09:26:14.3411433Z + [[ default == *dynamo_eager* ]] 2025-12-04T09:26:14.3411706Z + [[ default == *aot_eager* ]] 2025-12-04T09:26:14.3411973Z + [[ default == *aot_inductor* ]] 2025-12-04T09:26:14.3412255Z + [[ default == *max_autotune_inductor* ]] 2025-12-04T09:26:14.3412554Z + [[ default == *inductor* ]] 2025-12-04T09:26:14.3412824Z + [[ default == *dynamic* ]] 2025-12-04T09:26:14.3413077Z + [[ default == *cpu* ]] 2025-12-04T09:26:14.3413326Z + [[ default == *xpu* ]] 2025-12-04T09:26:14.3413607Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda) 2025-12-04T09:26:14.3444258Z + [[ linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck == *libtorch* ]] 2025-12-04T09:26:14.3444779Z + [[ linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck == *-bazel-* ]] 2025-12-04T09:26:14.3447661Z + cd test 2025-12-04T09:26:14.3448839Z + python -c 'import torch; print(torch.__config__.show())' 2025-12-04T09:26:16.0583981Z PyTorch built with: 2025-12-04T09:26:16.0584317Z - GCC 11.4 2025-12-04T09:26:16.0584534Z - C++ Version: 201703 2025-12-04T09:26:16.0585059Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-12-04T09:26:16.0585714Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-12-04T09:26:16.0586135Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-12-04T09:26:16.0586466Z - LAPACK is enabled (usually provided by MKL) 2025-12-04T09:26:16.0586782Z - NNPACK is enabled 2025-12-04T09:26:16.0587056Z - CPU capability usage: AVX2 2025-12-04T09:26:16.0587353Z - CUDA Runtime 12.8 2025-12-04T09:26:16.0587678Z - NVCC architecture flags: -gencode;arch=compute_86,code=sm_86 2025-12-04T09:26:16.0588717Z - CuDNN 91.0.2 (built against CUDA 12.9) 2025-12-04T09:26:16.0593117Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32, CUDA_VERSION=12.8, CUDNN_VERSION=9.10.2, CXX_COMPILER=/opt/cache/bin/c++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -DC10_NODEPRECATED -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=old-style-cast -faligned-new -Werror -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, FORCE_FALLBACK_CUDA_MPI=1, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.10.0, USE_CUDA=ON, USE_CUDNN=ON, USE_CUSPARSELT=ON, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=ON, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, 2025-12-04T09:26:16.0597518Z 2025-12-04T09:26:16.4361223Z + cd test 2025-12-04T09:26:16.4361594Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-12-04T09:26:17.7585105Z ATen/Parallel: 2025-12-04T09:26:17.7585511Z at::get_num_threads() : 8 2025-12-04T09:26:17.7585895Z at::get_num_interop_threads() : 16 2025-12-04T09:26:17.7586288Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-12-04T09:26:17.7586650Z omp_get_max_threads() : 8 2025-12-04T09:26:17.7587174Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-12-04T09:26:17.7587718Z mkl_get_max_threads() : 8 2025-12-04T09:26:17.7588082Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-12-04T09:26:17.7588776Z std::thread::hardware_concurrency() : 16 2025-12-04T09:26:17.7589079Z Environment variables: 2025-12-04T09:26:17.7589327Z OMP_NUM_THREADS : [not set] 2025-12-04T09:26:17.7589587Z MKL_NUM_THREADS : [not set] 2025-12-04T09:26:17.7590128Z ATen parallel backend: OpenMP 2025-12-04T09:26:17.7590313Z 2025-12-04T09:26:18.0848581Z + [[ default == *numpy_2* ]] 2025-12-04T09:26:18.0849325Z + [[ linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck == *aarch64* ]] 2025-12-04T09:26:18.0849861Z + [[ default == *backward* ]] 2025-12-04T09:26:18.0850241Z + [[ default == *libtorch_agnostic_targetting* ]] 2025-12-04T09:26:18.0850620Z + [[ default == *xla* ]] 2025-12-04T09:26:18.0850950Z + [[ default == *vllm* ]] 2025-12-04T09:26:18.0851198Z + [[ default == *executorch* ]] 2025-12-04T09:26:18.0851537Z + [[ default == \j\i\t\_\l\e\g\a\c\y ]] 2025-12-04T09:26:18.0851892Z + [[ default == \q\u\a\n\t\i\z\a\t\i\o\n ]] 2025-12-04T09:26:18.0852297Z + [[ linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck == *libtorch* ]] 2025-12-04T09:26:18.0852715Z + [[ default == distributed ]] 2025-12-04T09:26:18.0852997Z + [[ default == *operator_benchmark* ]] 2025-12-04T09:26:18.0853317Z + [[ default == *operator_microbenchmark* ]] 2025-12-04T09:26:18.0853656Z + [[ default == *attention_microbenchmark* ]] 2025-12-04T09:26:18.0853983Z + [[ default == *inductor_distributed* ]] 2025-12-04T09:26:18.0854302Z + [[ default == *inductor-halide* ]] 2025-12-04T09:26:18.0854594Z + [[ default == *inductor-pallas* ]] 2025-12-04T09:26:18.0854900Z + [[ default == *inductor-triton-cpu* ]] 2025-12-04T09:26:18.0855229Z + [[ default == *inductor-micro-benchmark* ]] 2025-12-04T09:26:18.0855593Z + [[ default == *aoti_cross_compile_for_windows* ]] 2025-12-04T09:26:18.0855918Z + [[ default == *huggingface* ]] 2025-12-04T09:26:18.0856187Z + [[ default == *timm* ]] 2025-12-04T09:26:18.0856436Z + [[ default == cachebench ]] 2025-12-04T09:26:18.0856701Z + [[ default == verify_cachebench ]] 2025-12-04T09:26:18.0857000Z + [[ default == *torchbench* ]] 2025-12-04T09:26:18.0857726Z + [[ default == *inductor_cpp_wrapper* ]] 2025-12-04T09:26:18.0858027Z + [[ default == *inductor_core* ]] 2025-12-04T09:26:18.0858303Z + [[ default == *inductor* ]] 2025-12-04T09:26:18.0858564Z + [[ default == *einops* ]] 2025-12-04T09:26:18.0858820Z + [[ default == *dynamo_core* ]] 2025-12-04T09:26:18.0859097Z + [[ default == *dynamo_wrapped* ]] 2025-12-04T09:26:18.0859468Z + [[ linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck == *rocm* ]] 2025-12-04T09:26:18.0859833Z + [[ 8 == 1 ]] 2025-12-04T09:26:18.0860033Z + [[ 8 == 2 ]] 2025-12-04T09:26:18.0860238Z + [[ 8 -gt 2 ]] 2025-12-04T09:26:18.0860445Z + install_torchvision 2025-12-04T09:26:18.0860679Z + local orig_preload 2025-12-04T09:26:18.0860901Z + local commit 2025-12-04T09:26:18.0861133Z ++ get_pinned_commit vision 2025-12-04T09:26:18.0861399Z ++ cat .github/ci_commit_pins/vision.txt 2025-12-04T09:26:18.0877010Z + commit=617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:26:18.0877384Z + orig_preload= 2025-12-04T09:26:18.0877691Z + '[' -n '' ']' 2025-12-04T09:26:18.0878189Z + [[ linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck == *cuda* ]] 2025-12-04T09:26:18.0878720Z + export FORCE_CUDA=1 2025-12-04T09:26:18.0879033Z + FORCE_CUDA=1 2025-12-04T09:26:18.0879314Z + export WITH_CUDA=1 2025-12-04T09:26:18.0879542Z + WITH_CUDA=1 2025-12-04T09:26:18.0880139Z + pip_build_and_install git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e dist/vision 2025-12-04T09:26:18.0880947Z + local build_target=git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:26:18.0881472Z + local wheel_dir=dist/vision 2025-12-04T09:26:18.0881728Z + local found_whl=0 2025-12-04T09:26:18.0881958Z + for file in "${wheel_dir}"/*.whl 2025-12-04T09:26:18.0882232Z + [[ -f dist/vision/*.whl ]] 2025-12-04T09:26:18.0882469Z + '[' 0 == 0 ']' 2025-12-04T09:26:18.0883080Z + python3 -m pip wheel --no-build-isolation --no-deps -w dist/vision git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:26:18.4155663Z Collecting git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:26:18.4160093Z Cloning https://github.com/pytorch/vision.git (to revision 617079d944b0e72632311c30ae2bbdf1168b901e) to /tmp/pip-req-build-ho90ntqm 2025-12-04T09:26:18.4307697Z Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-ho90ntqm 2025-12-04T09:26:20.1068260Z Running command git rev-parse -q --verify 'sha^617079d944b0e72632311c30ae2bbdf1168b901e' 2025-12-04T09:26:20.1098804Z Running command git fetch -q https://github.com/pytorch/vision.git 617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:26:20.2331901Z Resolved https://github.com/pytorch/vision.git to commit 617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:26:22.3564676Z Preparing metadata (pyproject.toml) ... [?25l- \ | done 2025-12-04T09:26:22.3599487Z [?25hBuilding wheels for collected packages: torchvision 2025-12-04T09:27:39.2359880Z Building wheel for torchvision (pyproject.toml) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - done 2025-12-04T09:27:39.2392183Z [?25h Created wheel for torchvision: filename=torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl size=1786225 sha256=1226a4b2b84836c65d7424a258b3f62532edcd8c3a220df04309439d4ff7cfe5 2025-12-04T09:27:39.2394248Z Stored in directory: /var/lib/jenkins/.cache/pip/wheels/12/b2/29/1f82685c5b5173629e1f36a9b93989ce92ce563e5fb91d27ac 2025-12-04T09:27:39.2429511Z Successfully built torchvision 2025-12-04T09:27:39.3534780Z + for file in "${wheel_dir}"/*.whl 2025-12-04T09:27:39.3535278Z + pip_install_whl dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T09:27:39.3535908Z + args=('dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl') 2025-12-04T09:27:39.3536325Z + local args 2025-12-04T09:27:39.3537132Z + [[ dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-12-04T09:27:39.3537589Z + for path in "${args[@]}" 2025-12-04T09:27:39.3538027Z + echo 'Installing dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl' 2025-12-04T09:27:39.3538662Z Installing dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T09:27:39.3539386Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T09:27:39.6875076Z Processing ./dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T09:27:39.6969308Z Installing collected packages: torchvision 2025-12-04T09:27:40.1691286Z Successfully installed torchvision-0.25.0a0+617079d 2025-12-04T09:27:40.2075363Z + '[' -n '' ']' 2025-12-04T09:27:40.2075641Z + test_python_shard 8 2025-12-04T09:27:40.2075887Z + [[ -z 8 ]] 2025-12-04T09:27:40.2076581Z + python test/run_test.py --exclude-jit-executor --exclude-distributed-tests --exclude-quantization-tests --shard 8 8 --verbose --upload-artifacts-while-running 2025-12-04T09:27:43.3093295Z Excluding doctests Running in slow gradcheck mode, skipping tests that don't use gradcheck. 2025-12-04T09:27:43.3094052Z Excluding test_meta Running in slow gradcheck mode, skipping tests that don't use gradcheck. 2025-12-04T09:27:43.3094722Z Excluding test_hub Running in slow gradcheck mode, skipping tests that don't use gradcheck. 2025-12-04T09:27:43.3095378Z Excluding test_fx Running in slow gradcheck mode, skipping tests that don't use gradcheck. 2025-12-04T09:27:43.3096041Z Excluding test_decomp Running in slow gradcheck mode, skipping tests that don't use gradcheck. 2025-12-04T09:27:43.3096773Z Excluding test_cpp_extensions_jit Running in slow gradcheck mode, skipping tests that don't use gradcheck. 2025-12-04T09:27:43.3097486Z Excluding test_jit Running in slow gradcheck mode, skipping tests that don't use gradcheck. 2025-12-04T09:27:43.3098172Z Excluding test_matmul_cuda Running in slow gradcheck mode, skipping tests that don't use gradcheck. 2025-12-04T09:27:43.3098861Z Excluding test_ops Running in slow gradcheck mode, skipping tests that don't use gradcheck. 2025-12-04T09:27:43.3099832Z Excluding test_ops_jit Running in slow gradcheck mode, skipping tests that don't use gradcheck. 2025-12-04T09:27:43.3100568Z Excluding dynamo/test_recompile_ux Running in slow gradcheck mode, skipping tests that don't use gradcheck. 2025-12-04T09:27:43.3101389Z Excluding inductor/test_compiled_optimizers Running in slow gradcheck mode, skipping tests that don't use gradcheck. 2025-12-04T09:27:43.3102217Z Excluding inductor/test_cutlass_backend Running in slow gradcheck mode, skipping tests that don't use gradcheck. 2025-12-04T09:27:43.3103019Z Excluding inductor/test_max_autotune Running in slow gradcheck mode, skipping tests that don't use gradcheck. 2025-12-04T09:27:43.3103825Z Excluding inductor/test_select_algorithm Running in slow gradcheck mode, skipping tests that don't use gradcheck. 2025-12-04T09:27:43.3104617Z Excluding inductor/test_smoke Running in slow gradcheck mode, skipping tests that don't use gradcheck. 2025-12-04T09:27:45.2891458Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T09:27:45.3547661Z Ignoring disabled issues: [''] 2025-12-04T09:27:45.3647910Z Found test times from artifacts 2025-12-04T09:27:45.4048710Z Found test times from artifacts 2025-12-04T09:27:45.4061480Z Running all tests 2025-12-04T09:27:45.4715015Z Running parallel tests on 1 processes 2025-12-04T09:27:45.4718552Z Name: tests to run (est. time: 138.63min) 2025-12-04T09:27:45.4718892Z Serial tests (50): 2025-12-04T09:27:45.4719171Z inductor/test_torchinductor_dynamic_shapes 1/4 2025-12-04T09:27:45.4719518Z inductor/test_kernel_benchmark 1/1 2025-12-04T09:27:45.4719876Z inductor/test_torchinductor_opinfo 1/14 2025-12-04T09:27:45.4720203Z inductor/test_torchinductor_opinfo 9/14 2025-12-04T09:27:45.4720803Z inductor/test_flex_attention 3/6 2025-12-04T09:27:45.4721097Z inductor/test_flex_decoding 3/3 2025-12-04T09:27:45.4721394Z inductor/test_decompose_mem_bound_mm 1/1 2025-12-04T09:27:45.4721723Z inductor/test_op_dtype_prop 1/1 2025-12-04T09:27:45.4722017Z test_ops_fwd_gradients 4/12 2025-12-04T09:27:45.4722295Z test_ops_fwd_gradients 12/12 2025-12-04T09:27:45.4722570Z test_ops_gradients 8/10 2025-12-04T09:27:45.4722830Z test_cuda_expandable_segments 1/1 2025-12-04T09:27:45.4723119Z test_public_bindings 1/1 2025-12-04T09:27:45.4723378Z functorch/test_dims 1/1 2025-12-04T09:27:45.4731846Z test_sparse_csr 1/2 2025-12-04T09:27:45.4732106Z functorch/test_vmap 1/1 2025-12-04T09:27:45.4732379Z inductor/test_compiled_autograd 2/2 2025-12-04T09:27:45.4732697Z inductor/test_triton_extension_backend 1/1 2025-12-04T09:27:45.4733006Z inductor/test_metrics 1/1 2025-12-04T09:27:45.4733270Z inductor/test_fx_fusion 1/1 2025-12-04T09:27:45.4733560Z dynamo/test_inline_and_install 1/1 2025-12-04T09:27:45.4733854Z inductor/test_inductor_scheduler 1/1 2025-12-04T09:27:45.4734151Z dynamo/test_modules 1/1 2025-12-04T09:27:45.4734416Z dynamo/test_recompiles 1/1 2025-12-04T09:27:45.4734681Z inductor/test_foreach 1/1 2025-12-04T09:27:45.4734946Z export/test_torchbind 1/1 2025-12-04T09:27:45.4735232Z inductor/test_efficient_conv_bn_eval 1/1 2025-12-04T09:27:45.4735533Z inductor/test_torchbind 1/1 2025-12-04T09:27:45.4735816Z dynamo/test_aot_autograd_cache 1/1 2025-12-04T09:27:45.4736108Z dynamo/test_torchrec 1/1 2025-12-04T09:27:45.4736362Z dynamo/test_exceptions 1/1 2025-12-04T09:27:45.4736635Z export/test_lift_unlift 1/1 2025-12-04T09:27:45.4736924Z export/test_verifier 1/1 2025-12-04T09:27:45.4737189Z export/test_draft_export 1/1 2025-12-04T09:27:45.4737463Z test_comparison_utils 1/1 2025-12-04T09:27:45.4737731Z functorch/test_ac_logging 1/1 2025-12-04T09:27:45.4738004Z test_mkldnn_verbose 1/1 2025-12-04T09:27:45.4738247Z test_license 1/1 2025-12-04T09:27:45.4738474Z test_autoload 1/1 2025-12-04T09:27:45.4738726Z nn/attention/test_open_registry 1/1 2025-12-04T09:27:45.4739004Z test_as_strided 1/1 2025-12-04T09:27:45.4739429Z test_foreach 1/2 2025-12-04T09:27:45.4739657Z test_modules 4/4 2025-12-04T09:27:45.4739881Z optim/test_optim 1/1 2025-12-04T09:27:45.4740183Z torch_np/numpy_tests/core/test_dlpack 1/1 2025-12-04T09:27:45.4740528Z test_multiprocessing_spawn 1/1 2025-12-04T09:27:45.4740818Z profiler/test_python_tracer 1/1 2025-12-04T09:27:45.4741244Z cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility 1/1 2025-12-04T09:27:45.4741703Z test_cpp_extensions_aot_ninja 1/1 2025-12-04T09:27:45.4742006Z test_cpp_extensions_aot_no_ninja 1/1 2025-12-04T09:27:45.4742291Z Parallel tests (0): 2025-12-04T09:27:45.4742543Z Name: excluded (est. time: 0.0min) 2025-12-04T09:27:45.4742812Z Serial tests (0): 2025-12-04T09:27:45.4743033Z Parallel tests (0): 2025-12-04T09:27:45.4743479Z Running inductor/test_torchinductor_dynamic_shapes 1/4 ... [2025-12-04 09:27:45.472265][931.273449565] 2025-12-04T09:27:45.4743986Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:45.4745195Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_dynamic_shapes.py', '--shard-id=1', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:27:45.472628] 2025-12-04T09:27:57.0078308Z 2025-12-04T09:27:57.0079982Z inductor/test_torchinductor_dynamic_shapes 1/4 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_dynamic_shapes_1.4_5edc7107035d7957_.log 2025-12-04T09:27:57.0081385Z Running 0 items in this shard: 2025-12-04T09:27:57.0081651Z 2025-12-04T09:27:57.0082208Z Finished inductor/test_torchinductor_dynamic_shapes 1/4 ... [2025-12-04 09:27:57.007133][942.808318251], took 0.19min 2025-12-04T09:27:57.0084479Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_dynamic_shapes/inductor.test_torchinductor_dynamic_shapes-0a893fadda9e7723.xml 2025-12-04T09:27:57.4074699Z Uploading artifacts took 0.11 seconds 2025-12-04T09:27:57.4079305Z Running inductor/test_kernel_benchmark 1/1 ... [2025-12-04 09:27:57.407502][943.208684282] 2025-12-04T09:27:57.4079953Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:57.4083561Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_kernel_benchmark.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:27:57.407866] 2025-12-04T09:36:10.1734998Z 2025-12-04T09:36:10.1736012Z inductor/test_kernel_benchmark 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_kernel_benchmark_1.1_62b42c04497ed843_.log 2025-12-04T09:36:10.1770998Z Running 100 items in this shard: test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_mm_triton_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark, test/inductor/test_kernel_benchmark.py::TestKernelBenchmark::test_pw_kernel_benchmark 2025-12-04T09:36:10.1804430Z 2025-12-04T09:36:10.1804745Z Finished inductor/test_kernel_benchmark 1/1 ... [2025-12-04 09:36:10.173031][1435.974214294], took 8.21min 2025-12-04T09:36:10.1805986Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_kernel_benchmark/inductor.test_kernel_benchmark-67d6e097d5e11457.xml 2025-12-04T09:36:10.3811159Z Running inductor/test_torchinductor_opinfo 1/14 ... [2025-12-04 09:36:10.380648][1436.181828739] 2025-12-04T09:36:10.3811813Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:36:10.3814499Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '--shard-id=1', '--num-shards=14', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:36:10.381060] 2025-12-04T09:36:24.4706746Z 2025-12-04T09:36:24.4707845Z inductor/test_torchinductor_opinfo 1/14 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_1.14_1f5eb46be131d5d5_.log 2025-12-04T09:36:24.4729906Z Running 50 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_cuda_float32 2025-12-04T09:36:24.4750859Z 2025-12-04T09:36:24.4751184Z Finished inductor/test_torchinductor_opinfo 1/14 ... [2025-12-04 09:36:24.470226][1450.271411154], took 0.23min 2025-12-04T09:36:24.4752300Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-1a671f84cb6d669d.xml 2025-12-04T09:36:24.5545614Z Running inductor/test_torchinductor_opinfo 9/14 ... [2025-12-04 09:36:24.554187][1450.355370774] 2025-12-04T09:36:24.5546121Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:36:24.5548882Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '--shard-id=9', '--num-shards=14', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:36:24.554512] 2025-12-04T09:36:38.5955677Z 2025-12-04T09:36:38.5956751Z inductor/test_torchinductor_opinfo 9/14 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_9.14_9d93e42d42b3e812_.log 2025-12-04T09:36:38.5957567Z Running 0 items in this shard: 2025-12-04T09:36:38.5957759Z 2025-12-04T09:36:38.5958117Z Finished inductor/test_torchinductor_opinfo 9/14 ... [2025-12-04 09:36:38.595193][1464.396377643], took 0.23min 2025-12-04T09:36:38.5966574Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-4b053fbb4de294c5.xml 2025-12-04T09:36:38.6636506Z Running inductor/test_flex_attention 3/6 ... [2025-12-04 09:36:38.663263][1464.464446699] 2025-12-04T09:36:38.6636991Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:36:38.6640131Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=3', '--num-shards=6', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:36:38.663604] 2025-12-04T09:36:46.3932880Z 2025-12-04T09:36:46.3933897Z inductor/test_flex_attention 3/6 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_3.6_92a1719465ac3d3d_.log 2025-12-04T09:36:46.3934654Z Running 0 items in this shard: 2025-12-04T09:36:46.3934866Z 2025-12-04T09:36:46.3935183Z Finished inductor/test_flex_attention 3/6 ... [2025-12-04 09:36:46.392935][1472.194119155], took 0.13min 2025-12-04T09:36:46.3945010Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-371ac8d7ae0c56d3.xml 2025-12-04T09:36:46.4646815Z Running inductor/test_flex_decoding 3/3 ... [2025-12-04 09:36:46.464316][1472.265500532] 2025-12-04T09:36:46.4647294Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:36:46.4649963Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_decoding.py', '--shard-id=3', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:36:46.464632] 2025-12-04T09:36:51.1383182Z 2025-12-04T09:36:51.1384197Z inductor/test_flex_decoding 3/3 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_decoding_3.3_f8f0cc4386c9b2a0_.log 2025-12-04T09:36:51.1385273Z Running 0 items in this shard: 2025-12-04T09:36:51.1385451Z 2025-12-04T09:36:51.1385755Z Finished inductor/test_flex_decoding 3/3 ... [2025-12-04 09:36:51.137952][1476.939136974], took 0.08min 2025-12-04T09:36:51.1398130Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_decoding/inductor.test_flex_decoding-f2f7c649fe210729.xml 2025-12-04T09:36:51.1658109Z Running inductor/test_decompose_mem_bound_mm 1/1 ... [2025-12-04 09:36:51.165495][1476.966681144] 2025-12-04T09:36:51.1658601Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:36:51.1662287Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_decompose_mem_bound_mm.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:36:51.165799] 2025-12-04T09:36:57.5920866Z 2025-12-04T09:36:57.5922029Z inductor/test_decompose_mem_bound_mm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_decompose_mem_bound_mm_1.1_cb8037de12f9a2d2_.log 2025-12-04T09:36:57.5969654Z Running 100 items in this shard: test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True 2025-12-04T09:36:57.6015856Z 2025-12-04T09:36:57.6016182Z Finished inductor/test_decompose_mem_bound_mm 1/1 ... [2025-12-04 09:36:57.592115][1483.393298692], took 0.11min 2025-12-04T09:36:57.6017302Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_decompose_mem_bound_mm/inductor.test_decompose_mem_bound_mm-4392659a3336c430.xml 2025-12-04T09:36:57.6774190Z Running inductor/test_op_dtype_prop 1/1 ... [2025-12-04 09:36:57.676981][1483.478165258] 2025-12-04T09:36:57.6774830Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:36:57.6777607Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_op_dtype_prop.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:36:57.677300] 2025-12-04T09:37:05.8063947Z 2025-12-04T09:37:05.8065242Z inductor/test_op_dtype_prop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_op_dtype_prop_1.1_56a29ceb4aedbe58_.log 2025-12-04T09:37:05.8066526Z Running 0 items in this shard: 2025-12-04T09:37:05.8066707Z 2025-12-04T09:37:05.8067004Z Finished inductor/test_op_dtype_prop 1/1 ... [2025-12-04 09:37:05.805982][1491.607166518], took 0.14min 2025-12-04T09:37:05.8081729Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-ce38bf09bbd4a406.xml 2025-12-04T09:37:05.8745849Z Running test_ops_fwd_gradients 4/12 ... [2025-12-04 09:37:05.874209][1491.675393365] 2025-12-04T09:37:05.8746479Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:37:05.8749314Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops_fwd_gradients.py', '--shard-id=4', '--num-shards=12', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:37:05.874519] 2025-12-04T09:37:15.9077173Z 2025-12-04T09:37:15.9078326Z test_ops_fwd_gradients 4/12 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_fwd_gradients_4.12_ea9eed13bd7fb92e_.log 2025-12-04T09:37:15.9079053Z Running 0 items in this shard: 2025-12-04T09:37:15.9079241Z 2025-12-04T09:37:15.9079531Z Finished test_ops_fwd_gradients 4/12 ... [2025-12-04 09:37:15.907389][1501.708571446], took 0.17min 2025-12-04T09:37:15.9098227Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_fwd_gradients/test_ops_fwd_gradients-da9c7134af62a5e8.xml 2025-12-04T09:37:16.0419173Z Running test_ops_fwd_gradients 12/12 ... [2025-12-04 09:37:16.041542][1501.842726156] 2025-12-04T09:37:16.0419790Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:37:16.0421958Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops_fwd_gradients.py', '--shard-id=12', '--num-shards=12', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:37:16.041859] 2025-12-04T09:37:26.0748338Z 2025-12-04T09:37:26.0749749Z test_ops_fwd_gradients 12/12 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_fwd_gradients_12.12_ba6b54a70b757ad0_.log 2025-12-04T09:37:26.0750475Z Running 0 items in this shard: 2025-12-04T09:37:26.0750660Z 2025-12-04T09:37:26.0750935Z Finished test_ops_fwd_gradients 12/12 ... [2025-12-04 09:37:26.074458][1511.87564343], took 0.17min 2025-12-04T09:37:26.0769368Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_fwd_gradients/test_ops_fwd_gradients-9e265287a8c6f2e4.xml 2025-12-04T09:37:26.1509530Z Running test_ops_gradients 8/10 ... [2025-12-04 09:37:26.150629][1511.951813137] 2025-12-04T09:37:26.1510146Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:37:26.1514007Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops_gradients.py', '--shard-id=8', '--num-shards=10', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:37:26.151033] 2025-12-04T09:37:39.9897545Z 2025-12-04T09:37:39.9898442Z test_ops_gradients 8/10 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_gradients_8.10_ff4b3e46a89d6773_.log 2025-12-04T09:37:39.9899132Z Running 0 items in this shard: 2025-12-04T09:37:39.9899314Z 2025-12-04T09:37:39.9899579Z Finished test_ops_gradients 8/10 ... [2025-12-04 09:37:39.989384][1525.790568894], took 0.23min 2025-12-04T09:37:39.9919739Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_gradients/test_ops_gradients-cabdb17c4329086e.xml 2025-12-04T09:37:40.0651831Z Running test_cuda_expandable_segments 1/1 ... [2025-12-04 09:37:40.064796][1525.865980465] 2025-12-04T09:37:40.0652413Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:37:40.0655427Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_expandable_segments.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:37:40.065111] 2025-12-04T09:38:04.7219674Z 2025-12-04T09:38:04.7220382Z PRINTING LOG FILE of test_cuda_expandable_segments 1/1 (test/test-reports/test_cuda_expandable_segments_1.1_64f1fc77113c5f54_.log) 2025-12-04T09:38:04.7224203Z /var/lib/jenkins/workspace/test/test_cuda_expandable_segments.py:36: FutureWarning: torch.cuda._set_allocator_settings is deprecated. Use torch._C._accelerator_setAllocatorSettings instead. 2025-12-04T09:38:04.7225624Z torch.cuda.memory._set_allocator_settings("expandable_segments:True") 2025-12-04T09:38:04.7226398Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to ./.pytorch-disabled-tests.json 2025-12-04T09:38:04.7227401Z Test results will be stored in test-reports/python-pytest/test_cuda_expandable_segments/test_cuda_expandable_segments-db19b41cd39a74c2.xml 2025-12-04T09:38:04.7228189Z ============================= test session starts ============================== 2025-12-04T09:38:04.7228851Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T09:38:04.7229543Z cachedir: .pytest_cache 2025-12-04T09:38:04.7230306Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T09:38:04.7231094Z rootdir: /var/lib/jenkins/workspace 2025-12-04T09:38:04.7231498Z configfile: pytest.ini 2025-12-04T09:38:04.7232208Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T09:38:04.7232991Z collecting ... collected 175 items 2025-12-04T09:38:04.7233464Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T09:38:04.7362953Z Running 350 items in this shard: test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, 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test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp 2025-12-04T09:38:04.7464834Z 2025-12-04T09:38:04.7465593Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0008s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 0%] 2025-12-04T09:38:04.7466743Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py PASSED [0.1446s] [ 0%] 2025-12-04T09:38:04.7467565Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0020s] [ 0%] 2025-12-04T09:38:04.7468821Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 1%] 2025-12-04T09:38:04.7470394Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 1%] 2025-12-04T09:38:04.7471803Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0792s] [ 1%] 2025-12-04T09:38:04.7473033Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py [W1204 09:37:44.363239956 unwind.cpp:219] Warning: Unsupported unwinding pattern: Address not in range (function unwinderFor) 2025-12-04T09:38:04.7473958Z FAILED [10.0107s] [ 2%] 2025-12-04T09:38:04.7474824Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0008s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7476309Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7477856Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7479439Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7480938Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7482430Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7484088Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7485594Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7487093Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7488854Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7490357Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7491841Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7493316Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7494943Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7496584Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7498078Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7499566Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7501051Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7502535Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7504028Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7505507Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7506989Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7508483Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7510068Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7511562Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7513049Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7514541Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7516026Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7517509Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7519106Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7520590Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7522164Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7523649Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7525129Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7526612Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7528157Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7529640Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7531129Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7532603Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7534176Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7535665Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7537156Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7538642Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7540127Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7542299Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7543776Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7545259Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7546867Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7548360Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7549485Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.2767s] [ 2%] 2025-12-04T09:38:04.7550241Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1303s] [ 2%] 2025-12-04T09:38:04.7550993Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1298s] [ 2%] 2025-12-04T09:38:04.7551748Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1297s] [ 2%] 2025-12-04T09:38:04.7552509Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1298s] [ 2%] 2025-12-04T09:38:04.7553259Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1312s] [ 2%] 2025-12-04T09:38:04.7554017Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1292s] [ 2%] 2025-12-04T09:38:04.7554770Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1291s] [ 2%] 2025-12-04T09:38:04.7555513Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1310s] [ 2%] 2025-12-04T09:38:04.7556256Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1292s] [ 2%] 2025-12-04T09:38:04.7557016Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1295s] [ 2%] 2025-12-04T09:38:04.7557798Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1306s] [ 2%] 2025-12-04T09:38:04.7558693Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1293s] [ 2%] 2025-12-04T09:38:04.7559446Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1302s] [ 2%] 2025-12-04T09:38:04.7560196Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1295s] [ 2%] 2025-12-04T09:38:04.7560961Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1299s] [ 2%] 2025-12-04T09:38:04.7561701Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1299s] [ 2%] 2025-12-04T09:38:04.7562456Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1296s] [ 2%] 2025-12-04T09:38:04.7563218Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1319s] [ 2%] 2025-12-04T09:38:04.7563972Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1298s] [ 2%] 2025-12-04T09:38:04.7564709Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1307s] [ 2%] 2025-12-04T09:38:04.7565461Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1303s] [ 2%] 2025-12-04T09:38:04.7566213Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1301s] [ 2%] 2025-12-04T09:38:04.7566958Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1300s] [ 2%] 2025-12-04T09:38:04.7567745Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1300s] [ 2%] 2025-12-04T09:38:04.7568587Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1295s] [ 2%] 2025-12-04T09:38:04.7569347Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1296s] [ 2%] 2025-12-04T09:38:04.7570098Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1296s] [ 2%] 2025-12-04T09:38:04.7570838Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1297s] [ 2%] 2025-12-04T09:38:04.7571584Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1302s] [ 2%] 2025-12-04T09:38:04.7572337Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1297s] [ 2%] 2025-12-04T09:38:04.7573093Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1297s] [ 2%] 2025-12-04T09:38:04.7573847Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1293s] [ 2%] 2025-12-04T09:38:04.7574613Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1298s] [ 2%] 2025-12-04T09:38:04.7575369Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1299s] [ 2%] 2025-12-04T09:38:04.7576130Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1298s] [ 2%] 2025-12-04T09:38:04.7576874Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1304s] [ 2%] 2025-12-04T09:38:04.7577629Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1318s] [ 2%] 2025-12-04T09:38:04.7578384Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1303s] [ 2%] 2025-12-04T09:38:04.7579139Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1306s] [ 2%] 2025-12-04T09:38:04.7579897Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1299s] [ 2%] 2025-12-04T09:38:04.7580748Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1299s] [ 2%] 2025-12-04T09:38:04.7581505Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1307s] [ 2%] 2025-12-04T09:38:04.7582269Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1302s] [ 2%] 2025-12-04T09:38:04.7583021Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1298s] [ 2%] 2025-12-04T09:38:04.7583782Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1312s] [ 2%] 2025-12-04T09:38:04.7584530Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1300s] [ 2%] 2025-12-04T09:38:04.7585292Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1299s] [ 2%] 2025-12-04T09:38:04.7586042Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1300s] [ 2%] 2025-12-04T09:38:04.7586844Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0017s] [ 2%] 2025-12-04T09:38:04.7587689Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0013s] [ 2%] 2025-12-04T09:38:04.7588910Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0014s] [ 2%] 2025-12-04T09:38:04.7590029Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0014s] [ 2%] 2025-12-04T09:38:04.7590955Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0013s] [ 2%] 2025-12-04T09:38:04.7591929Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0013s] [ 2%] 2025-12-04T09:38:04.7592762Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0015s] [ 2%] 2025-12-04T09:38:04.7593586Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0013s] [ 2%] 2025-12-04T09:38:04.7594418Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0013s] [ 2%] 2025-12-04T09:38:04.7595253Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0013s] [ 2%] 2025-12-04T09:38:04.7596085Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0015s] [ 2%] 2025-12-04T09:38:04.7596918Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0014s] [ 2%] 2025-12-04T09:38:04.7597800Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0013s] [ 2%] 2025-12-04T09:38:04.7598699Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0013s] [ 2%] 2025-12-04T09:38:04.7599530Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0013s] [ 2%] 2025-12-04T09:38:04.7600356Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0015s] [ 2%] 2025-12-04T09:38:04.7601198Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0013s] [ 2%] 2025-12-04T09:38:04.7602041Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0013s] [ 2%] 2025-12-04T09:38:04.7602891Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0013s] [ 2%] 2025-12-04T09:38:04.7603845Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0013s] [ 2%] 2025-12-04T09:38:04.7604690Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0013s] [ 2%] 2025-12-04T09:38:04.7605542Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0015s] [ 2%] 2025-12-04T09:38:04.7606387Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0013s] [ 2%] 2025-12-04T09:38:04.7607221Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0013s] [ 2%] 2025-12-04T09:38:04.7608062Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0013s] [ 2%] 2025-12-04T09:38:04.7608907Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0013s] [ 2%] 2025-12-04T09:38:04.7609752Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0013s] [ 2%] 2025-12-04T09:38:04.7610587Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0016s] [ 2%] 2025-12-04T09:38:04.7611426Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0013s] [ 2%] 2025-12-04T09:38:04.7612268Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0013s] [ 2%] 2025-12-04T09:38:04.7613119Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0013s] [ 2%] 2025-12-04T09:38:04.7613950Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0013s] [ 2%] 2025-12-04T09:38:04.7614902Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0013s] [ 2%] 2025-12-04T09:38:04.7615745Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0013s] [ 2%] 2025-12-04T09:38:04.7616586Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0015s] [ 2%] 2025-12-04T09:38:04.7617426Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0013s] [ 2%] 2025-12-04T09:38:04.7618269Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0013s] [ 2%] 2025-12-04T09:38:04.7619105Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0013s] [ 2%] 2025-12-04T09:38:04.7619954Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0013s] [ 2%] 2025-12-04T09:38:04.7620806Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0013s] [ 2%] 2025-12-04T09:38:04.7621658Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0016s] [ 2%] 2025-12-04T09:38:04.7622490Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0013s] [ 2%] 2025-12-04T09:38:04.7623337Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0013s] [ 2%] 2025-12-04T09:38:04.7624174Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0013s] [ 2%] 2025-12-04T09:38:04.7625025Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0013s] [ 2%] 2025-12-04T09:38:04.7625873Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0013s] [ 2%] 2025-12-04T09:38:04.7626801Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0013s] [ 2%] 2025-12-04T09:38:04.7627640Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0015s] [ 2%] 2025-12-04T09:38:04.7628531Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0013s] [ 2%] 2025-12-04T09:38:04.7629705Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7631224Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7632745Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7634272Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7635790Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7637318Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7639040Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7640557Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7642089Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7643605Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7645139Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7646660Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7648168Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0008s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7649689Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7651306Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7652848Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7654377Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7655916Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7657423Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7658989Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7660497Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7662008Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7663687Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7665219Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7666722Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7668288Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7669843Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7671367Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7672895Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7674415Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7676030Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7677610Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7679180Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7680687Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7682223Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7683754Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7685255Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7686793Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7688681Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7690220Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7691736Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7693247Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7694786Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7696323Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7697900Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7699423Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7701075Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7702586Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7704113Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7705698Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7707376Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7709081Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7710735Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7712362Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7714120Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7715767Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7717416Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7719171Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7720807Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7722456Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7724091Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7725847Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7727479Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7729114Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7730750Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7732408Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7734028Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7735680Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7737324Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7739105Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7740757Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7742394Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7744017Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7745662Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7747307Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7748998Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7750725Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7752376Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7754005Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7755642Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7757303Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7758992Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7760638Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7762275Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7764000Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7765633Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7767274Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7768955Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7770597Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7772241Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7773877Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7775573Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7777209Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7778908Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7780549Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7782207Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7783849Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0008s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7785496Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:38:04.7786762Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py PASSED [0.0396s] [ 2%] 2025-12-04T09:38:04.7787711Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py PASSED [0.0400s] [ 2%] 2025-12-04T09:38:04.7788876Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py PASSED [0.0377s] [ 2%] 2025-12-04T09:38:04.7789729Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py PASSED [0.0380s] [ 2%] 2025-12-04T09:38:04.7790577Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py PASSED [0.0383s] [ 2%] 2025-12-04T09:38:04.7791439Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py PASSED [0.0381s] [ 2%] 2025-12-04T09:38:04.7792298Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py PASSED [0.0385s] [ 2%] 2025-12-04T09:38:04.7793146Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py PASSED [0.0377s] [ 2%] 2025-12-04T09:38:04.7794001Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py PASSED [0.0390s] [ 2%] 2025-12-04T09:38:04.7794866Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py PASSED [0.0378s] [ 2%] 2025-12-04T09:38:04.7795743Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py PASSED [0.0378s] [ 2%] 2025-12-04T09:38:04.7796620Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py PASSED [0.0378s] [ 2%] 2025-12-04T09:38:04.7797514Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py PASSED [0.0385s] [ 2%] 2025-12-04T09:38:04.7798427Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py PASSED [0.0383s] [ 2%] 2025-12-04T09:38:04.7799297Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py PASSED [0.0377s] [ 2%] 2025-12-04T09:38:04.7800167Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py PASSED [0.0379s] [ 2%] 2025-12-04T09:38:04.7801158Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py PASSED [0.0382s] [ 2%] 2025-12-04T09:38:04.7802021Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py PASSED [0.0378s] [ 2%] 2025-12-04T09:38:04.7802886Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py PASSED [0.0380s] [ 2%] 2025-12-04T09:38:04.7803744Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py PASSED [0.0379s] [ 2%] 2025-12-04T09:38:04.7804600Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py PASSED [0.0379s] [ 2%] 2025-12-04T09:38:04.7805467Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py PASSED [0.0375s] [ 2%] 2025-12-04T09:38:04.7806347Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py PASSED [0.0379s] [ 2%] 2025-12-04T09:38:04.7807219Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py PASSED [0.0378s] [ 2%] 2025-12-04T09:38:04.7808066Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py PASSED [0.0386s] [ 2%] 2025-12-04T09:38:04.7808939Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py PASSED [0.0380s] [ 2%] 2025-12-04T09:38:04.7809800Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py PASSED [0.0374s] [ 2%] 2025-12-04T09:38:04.7810655Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py PASSED [0.0376s] [ 2%] 2025-12-04T09:38:04.7811619Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py PASSED [0.0378s] [ 2%] 2025-12-04T09:38:04.7812487Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py PASSED [0.0379s] [ 2%] 2025-12-04T09:38:04.7813356Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py PASSED [0.0377s] [ 2%] 2025-12-04T09:38:04.7814226Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py PASSED [0.0379s] [ 2%] 2025-12-04T09:38:04.7815080Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py PASSED [0.0377s] [ 2%] 2025-12-04T09:38:04.7815937Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py PASSED [0.0384s] [ 2%] 2025-12-04T09:38:04.7816794Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py PASSED [0.0380s] [ 2%] 2025-12-04T09:38:04.7817665Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py PASSED [0.0381s] [ 2%] 2025-12-04T09:38:04.7818555Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py PASSED [0.0375s] [ 2%] 2025-12-04T09:38:04.7819437Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py PASSED [0.0379s] [ 2%] 2025-12-04T09:38:04.7820284Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py PASSED [0.0376s] [ 2%] 2025-12-04T09:38:04.7821141Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py PASSED [0.0380s] [ 2%] 2025-12-04T09:38:04.7821987Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py PASSED [0.0377s] [ 2%] 2025-12-04T09:38:04.7822854Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py PASSED [0.0378s] [ 2%] 2025-12-04T09:38:04.7823733Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py PASSED [0.0375s] [ 2%] 2025-12-04T09:38:04.7824705Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py PASSED [0.0380s] [ 2%] 2025-12-04T09:38:04.7825559Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py PASSED [0.0378s] [ 2%] 2025-12-04T09:38:04.7826427Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py PASSED [0.0377s] [ 2%] 2025-12-04T09:38:04.7827294Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py PASSED [0.0382s] [ 2%] 2025-12-04T09:38:04.7828193Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py PASSED [0.0380s] [ 2%] 2025-12-04T09:38:04.7829055Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py PASSED [0.0379s] [ 2%] 2025-12-04T09:38:04.7829973Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py PASSED [0.0034s] [ 2%] 2025-12-04T09:38:04.7830905Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py PASSED [0.0031s] [ 2%] 2025-12-04T09:38:04.7831832Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py PASSED [0.0031s] [ 2%] 2025-12-04T09:38:04.7832742Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py PASSED [0.0032s] [ 2%] 2025-12-04T09:38:04.7833670Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py PASSED [0.0031s] [ 2%] 2025-12-04T09:38:04.7834597Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py PASSED [0.0032s] [ 2%] 2025-12-04T09:38:04.7835608Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py PASSED [0.0031s] [ 2%] 2025-12-04T09:38:04.7836525Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py PASSED [0.0031s] [ 2%] 2025-12-04T09:38:04.7837469Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py PASSED [0.0031s] [ 2%] 2025-12-04T09:38:04.7838477Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py PASSED [0.0031s] [ 2%] 2025-12-04T09:38:04.7839401Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py PASSED [0.0031s] [ 2%] 2025-12-04T09:38:04.7840315Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py PASSED [0.0031s] [ 2%] 2025-12-04T09:38:04.7841246Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py PASSED [0.0031s] [ 2%] 2025-12-04T09:38:04.7842192Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py PASSED [0.0031s] [ 2%] 2025-12-04T09:38:04.7843137Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py PASSED [0.0031s] [ 2%] 2025-12-04T09:38:04.7844047Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py PASSED [0.0031s] [ 2%] 2025-12-04T09:38:04.7844977Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py PASSED [0.0031s] [ 2%] 2025-12-04T09:38:04.7845913Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py PASSED [0.0031s] [ 2%] 2025-12-04T09:38:04.7858043Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py PASSED [0.0032s] [ 2%] 2025-12-04T09:38:04.7859039Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py PASSED [0.0031s] [ 2%] 2025-12-04T09:38:04.7860061Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py PASSED [0.0031s] [ 2%] 2025-12-04T09:38:04.7860970Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py PASSED [0.0031s] [ 2%] 2025-12-04T09:38:04.7861899Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py PASSED [0.0031s] [ 2%] 2025-12-04T09:38:04.7862816Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py PASSED [0.0031s] [ 2%] 2025-12-04T09:38:04.7863733Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py PASSED [0.0031s] [ 2%] 2025-12-04T09:38:04.7864649Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py PASSED [0.0031s] [ 2%] 2025-12-04T09:38:04.7865569Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py PASSED [0.0031s] [ 2%] 2025-12-04T09:38:04.7866499Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py PASSED [0.0031s] [ 2%] 2025-12-04T09:38:04.7867414Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py PASSED [0.0031s] [ 2%] 2025-12-04T09:38:04.7868374Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py PASSED [0.0031s] [ 2%] 2025-12-04T09:38:04.7869290Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py PASSED [0.0031s] [ 2%] 2025-12-04T09:38:04.7870212Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py PASSED [0.0031s] [ 2%] 2025-12-04T09:38:04.7871219Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py PASSED [0.0032s] [ 2%] 2025-12-04T09:38:04.7872148Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py PASSED [0.0031s] [ 2%] 2025-12-04T09:38:04.7873060Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py PASSED [0.0031s] [ 2%] 2025-12-04T09:38:04.7873979Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py PASSED [0.0031s] [ 2%] 2025-12-04T09:38:04.7874889Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py PASSED [0.0031s] [ 2%] 2025-12-04T09:38:04.7875812Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py PASSED [0.0031s] [ 2%] 2025-12-04T09:38:04.7876726Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py PASSED [0.0032s] [ 2%] 2025-12-04T09:38:04.7877646Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py PASSED [0.0032s] [ 2%] 2025-12-04T09:38:04.7878738Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py PASSED [0.0031s] [ 2%] 2025-12-04T09:38:04.7879657Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py PASSED [0.0031s] [ 2%] 2025-12-04T09:38:04.7880569Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py PASSED [0.0031s] [ 2%] 2025-12-04T09:38:04.7881481Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py PASSED [0.0031s] [ 2%] 2025-12-04T09:38:04.7882390Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py PASSED [0.0031s] [ 2%] 2025-12-04T09:38:04.7883317Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py PASSED [0.0032s] [ 2%] 2025-12-04T09:38:04.7884342Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py PASSED [0.0031s] [ 2%] 2025-12-04T09:38:04.7885275Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py PASSED [0.0031s] [ 2%] 2025-12-04T09:38:04.7886196Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py PASSED [0.0031s] [ 2%] 2025-12-04T09:38:04.7886703Z 2025-12-04T09:38:04.7886843Z =================================== FAILURES =================================== 2025-12-04T09:38:04.7887298Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:38:04.7887718Z Traceback (most recent call last): 2025-12-04T09:38:04.7888459Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4091, in test_memory_snapshot 2025-12-04T09:38:04.7889041Z torch.cuda.memory._save_segment_usage(f.name) 2025-12-04T09:38:04.7889653Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/memory.py", line 1288, in _save_segment_usage 2025-12-04T09:38:04.7890236Z f.write(_segments(snapshot)) 2025-12-04T09:38:04.7890782Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/_memory_viz.py", line 158, in segments 2025-12-04T09:38:04.7891346Z return format_flamegraph(f.getvalue()) 2025-12-04T09:38:04.7891938Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/_memory_viz.py", line 100, in format_flamegraph 2025-12-04T09:38:04.7892626Z with tempfile.NamedTemporaryFile(mode="wb", suffix=".pl") as f: 2025-12-04T09:38:04.7893168Z File "/opt/conda/envs/py_3.10/lib/python3.10/tempfile.py", line 518, in __exit__ 2025-12-04T09:38:04.7893590Z self.close() 2025-12-04T09:38:04.7893948Z File "/opt/conda/envs/py_3.10/lib/python3.10/tempfile.py", line 525, in close 2025-12-04T09:38:04.7894548Z self._closer.close() 2025-12-04T09:38:04.7894919Z File "/opt/conda/envs/py_3.10/lib/python3.10/tempfile.py", line 462, in close 2025-12-04T09:38:04.7895342Z unlink(self.name) 2025-12-04T09:38:04.7895733Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmp5s3mjvlq.pl' 2025-12-04T09:38:04.7896256Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.7896754Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:38:04.7897301Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:38:04.7897745Z Traceback (most recent call last): 2025-12-04T09:38:04.7898236Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:38:04.7898784Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:38:04.7899269Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:38:04.7899746Z raise self.failureException(msg) 2025-12-04T09:38:04.7900049Z AssertionError: False is not true 2025-12-04T09:38:04.7900235Z 2025-12-04T09:38:04.7900412Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.7901164Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:38:04.7901729Z 2025-12-04T09:38:04.7901947Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.7902460Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:38:04.7902862Z Traceback (most recent call last): 2025-12-04T09:38:04.7903338Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:38:04.7903812Z check_stats(expected) 2025-12-04T09:38:04.7904219Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:38:04.7904675Z self.assertEqual(v, stats[k]) 2025-12-04T09:38:04.7905385Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:38:04.7906076Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:38:04.7906461Z AssertionError: Scalars are not equal! 2025-12-04T09:38:04.7906662Z 2025-12-04T09:38:04.7906762Z Expected 196608 but got 0. 2025-12-04T09:38:04.7907011Z Absolute difference: 196608 2025-12-04T09:38:04.7907277Z Relative difference: 1.0 2025-12-04T09:38:04.7907435Z 2025-12-04T09:38:04.7907618Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.7908262Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.7908772Z 2025-12-04T09:38:04.7908988Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.7909494Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.7909917Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.7910349Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:38:04.7910744Z Traceback (most recent call last): 2025-12-04T09:38:04.7911201Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:38:04.7911672Z check_stats(expected) 2025-12-04T09:38:04.7912062Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:38:04.7912500Z self.assertEqual(v, stats[k]) 2025-12-04T09:38:04.7913098Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:38:04.7913776Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:38:04.7914250Z AssertionError: Scalars are not equal! 2025-12-04T09:38:04.7914450Z 2025-12-04T09:38:04.7914554Z Expected 196608 but got 0. 2025-12-04T09:38:04.7914808Z Absolute difference: 196608 2025-12-04T09:38:04.7915067Z Relative difference: 1.0 2025-12-04T09:38:04.7915232Z 2025-12-04T09:38:04.7915410Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.7916074Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.7916563Z 2025-12-04T09:38:04.7916777Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.7917272Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.7917712Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.7918228Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.7918663Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.7919101Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:38:04.7919478Z Traceback (most recent call last): 2025-12-04T09:38:04.7919929Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:38:04.7920394Z check_stats(expected) 2025-12-04T09:38:04.7920785Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:38:04.7921219Z self.assertEqual(v, stats[k]) 2025-12-04T09:38:04.7921816Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:38:04.7922507Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:38:04.7922888Z AssertionError: Scalars are not equal! 2025-12-04T09:38:04.7923093Z 2025-12-04T09:38:04.7923188Z Expected 196608 but got 0. 2025-12-04T09:38:04.7923449Z Absolute difference: 196608 2025-12-04T09:38:04.7923717Z Relative difference: 1.0 2025-12-04T09:38:04.7923871Z 2025-12-04T09:38:04.7924041Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.7924785Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.7925287Z 2025-12-04T09:38:04.7925502Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.7925983Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.7926400Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.7926822Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.7927254Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.7927659Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.7928129Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.7928554Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:38:04.7928938Z Traceback (most recent call last): 2025-12-04T09:38:04.7929403Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:38:04.7929879Z check_stats(expected) 2025-12-04T09:38:04.7930275Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:38:04.7930703Z self.assertEqual(v, stats[k]) 2025-12-04T09:38:04.7931304Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:38:04.7931987Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:38:04.7932370Z AssertionError: Scalars are not equal! 2025-12-04T09:38:04.7932570Z 2025-12-04T09:38:04.7932658Z Expected 196608 but got 0. 2025-12-04T09:38:04.7932905Z Absolute difference: 196608 2025-12-04T09:38:04.7933249Z Relative difference: 1.0 2025-12-04T09:38:04.7933405Z 2025-12-04T09:38:04.7933578Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.7934255Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.7934754Z 2025-12-04T09:38:04.7934965Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.7935452Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.7935871Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.7936300Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.7936718Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.7937130Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.7937556Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.7937977Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.7938396Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.7938829Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:38:04.7939224Z Traceback (most recent call last): 2025-12-04T09:38:04.7939689Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:38:04.7940149Z check_stats(expected) 2025-12-04T09:38:04.7940552Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:38:04.7940995Z self.assertEqual(v, stats[k]) 2025-12-04T09:38:04.7941596Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:38:04.7942289Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:38:04.7942682Z AssertionError: Scalars are not equal! 2025-12-04T09:38:04.7942892Z 2025-12-04T09:38:04.7942993Z Expected 196608 but got 0. 2025-12-04T09:38:04.7943243Z Absolute difference: 196608 2025-12-04T09:38:04.7943502Z Relative difference: 1.0 2025-12-04T09:38:04.7943670Z 2025-12-04T09:38:04.7943928Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.7944607Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.7945110Z 2025-12-04T09:38:04.7945329Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.7945831Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.7946269Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.7946696Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.7947115Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.7947539Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.7947969Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.7948381Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.7948817Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.7949225Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.7949648Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.7950071Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:38:04.7950461Z Traceback (most recent call last): 2025-12-04T09:38:04.7950918Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:38:04.7951384Z check_stats(expected) 2025-12-04T09:38:04.7951785Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:38:04.7952312Z self.assertEqual(v, stats[k]) 2025-12-04T09:38:04.7952915Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:38:04.7953620Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:38:04.7954001Z AssertionError: Scalars are not equal! 2025-12-04T09:38:04.7954207Z 2025-12-04T09:38:04.7954300Z Expected 196608 but got 0. 2025-12-04T09:38:04.7954554Z Absolute difference: 196608 2025-12-04T09:38:04.7954824Z Relative difference: 1.0 2025-12-04T09:38:04.7954983Z 2025-12-04T09:38:04.7955164Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.7955824Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.7956332Z 2025-12-04T09:38:04.7956543Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.7957055Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.7957510Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.7957955Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.7958445Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.7958862Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.7959290Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.7959713Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.7960140Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.7960545Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.7960963Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.7961382Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.7961801Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.7962232Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:38:04.7962743Z Traceback (most recent call last): 2025-12-04T09:38:04.7963199Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:38:04.7963684Z check_stats(expected) 2025-12-04T09:38:04.7964075Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:38:04.7964526Z self.assertEqual(v, stats[k]) 2025-12-04T09:38:04.7965119Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:38:04.7965811Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:38:04.7966200Z AssertionError: Scalars are not equal! 2025-12-04T09:38:04.7966399Z 2025-12-04T09:38:04.7966501Z Expected 196608 but got 0. 2025-12-04T09:38:04.7966760Z Absolute difference: 196608 2025-12-04T09:38:04.7967028Z Relative difference: 1.0 2025-12-04T09:38:04.7967183Z 2025-12-04T09:38:04.7967370Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.7968095Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.7968602Z 2025-12-04T09:38:04.7968818Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.7969305Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.7969745Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.7970161Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.7970581Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.7970991Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.7971519Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.7971933Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.7972362Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.7972790Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.7973203Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.7973632Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.7974048Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.7974450Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.7974870Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.7975298Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:38:04.7975698Z Traceback (most recent call last): 2025-12-04T09:38:04.7976159Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:38:04.7976649Z check_stats(expected) 2025-12-04T09:38:04.7977053Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:38:04.7977487Z self.assertEqual(v, stats[k]) 2025-12-04T09:38:04.7978086Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:38:04.7978783Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:38:04.7979162Z AssertionError: Scalars are not equal! 2025-12-04T09:38:04.7979377Z 2025-12-04T09:38:04.7979470Z Expected 196608 but got 0. 2025-12-04T09:38:04.7979732Z Absolute difference: 196608 2025-12-04T09:38:04.7979989Z Relative difference: 1.0 2025-12-04T09:38:04.7980150Z 2025-12-04T09:38:04.7980332Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.7981021Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.7981521Z 2025-12-04T09:38:04.7981838Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.7982331Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.7982747Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.7983161Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.7983591Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.7984006Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.7984430Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.7984842Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.7985277Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.7985691Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.7986121Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.7986542Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.7986962Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.7987369Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.7987817Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.7988533Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.7988956Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.7989377Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:38:04.7989774Z Traceback (most recent call last): 2025-12-04T09:38:04.7990362Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:38:04.7990845Z check_stats(expected) 2025-12-04T09:38:04.7991241Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:38:04.7991683Z self.assertEqual(v, stats[k]) 2025-12-04T09:38:04.7992281Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:38:04.7992971Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:38:04.7993350Z AssertionError: Scalars are not equal! 2025-12-04T09:38:04.7993551Z 2025-12-04T09:38:04.7993647Z Expected 196608 but got 0. 2025-12-04T09:38:04.7993920Z Absolute difference: 196608 2025-12-04T09:38:04.7994181Z Relative difference: 1.0 2025-12-04T09:38:04.7994337Z 2025-12-04T09:38:04.7994513Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.7995191Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.7995703Z 2025-12-04T09:38:04.7995915Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.7996423Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.7996848Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.7997274Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.7997693Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.7998183Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.7998628Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.7999043Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.7999480Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.7999900Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8000344Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8000967Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8001396Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8001809Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8002245Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8002674Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8003103Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8003512Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8003932Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8004344Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:38:04.8004745Z Traceback (most recent call last): 2025-12-04T09:38:04.8005205Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:38:04.8005680Z check_stats(expected) 2025-12-04T09:38:04.8006067Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:38:04.8006510Z self.assertEqual(v, stats[k]) 2025-12-04T09:38:04.8007131Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:38:04.8007815Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:38:04.8008198Z AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8008403Z 2025-12-04T09:38:04.8008499Z Expected 196608 but got 0. 2025-12-04T09:38:04.8008761Z Absolute difference: 196608 2025-12-04T09:38:04.8009018Z Relative difference: 1.0 2025-12-04T09:38:04.8009178Z 2025-12-04T09:38:04.8009444Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8010112Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8010606Z 2025-12-04T09:38:04.8010827Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8011314Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8011736Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8012152Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8012567Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8012976Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8013394Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8013800Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8014218Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8014627Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8015053Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8015454Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8015882Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8016287Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8016702Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8017103Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8017522Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8017978Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8018400Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8018806Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8019221Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8019723Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:38:04.8020117Z Traceback (most recent call last): 2025-12-04T09:38:04.8020578Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:38:04.8021051Z check_stats(expected) 2025-12-04T09:38:04.8021433Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:38:04.8021881Z self.assertEqual(v, stats[k]) 2025-12-04T09:38:04.8022470Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:38:04.8023149Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:38:04.8023535Z AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8023738Z 2025-12-04T09:38:04.8023829Z Expected 196608 but got 0. 2025-12-04T09:38:04.8024078Z Absolute difference: 196608 2025-12-04T09:38:04.8024329Z Relative difference: 1.0 2025-12-04T09:38:04.8024493Z 2025-12-04T09:38:04.8024666Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8025328Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8025821Z 2025-12-04T09:38:04.8026035Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8026517Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8026938Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8027348Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8027763Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8028314Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8028732Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8029147Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8029555Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8029967Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8030387Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8030789Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8031204Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8031613Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8032026Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8032442Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8032864Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8033278Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8033689Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8034096Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8034514Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8034916Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8035334Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8035752Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:38:04.8036138Z Traceback (most recent call last): 2025-12-04T09:38:04.8036594Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:38:04.8037080Z check_stats(expected) 2025-12-04T09:38:04.8037483Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:38:04.8037914Z self.assertEqual(v, stats[k]) 2025-12-04T09:38:04.8038693Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:38:04.8039391Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:38:04.8039771Z AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8039976Z 2025-12-04T09:38:04.8040067Z Expected 196608 but got 0. 2025-12-04T09:38:04.8040331Z Absolute difference: 196608 2025-12-04T09:38:04.8040601Z Relative difference: 1.0 2025-12-04T09:38:04.8040757Z 2025-12-04T09:38:04.8040926Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8041583Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8042095Z 2025-12-04T09:38:04.8042306Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8042799Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8043224Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8059205Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8059706Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8060143Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8060571Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8060992Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8061415Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8061825Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8062373Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8062781Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8063201Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8063612Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8064031Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8064440Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8064856Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8065275Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8065687Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8066101Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8066530Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8066937Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8067357Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8067778Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8068200Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8068613Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:38:04.8069005Z Traceback (most recent call last): 2025-12-04T09:38:04.8069480Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:38:04.8069957Z check_stats(expected) 2025-12-04T09:38:04.8070349Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:38:04.8070794Z self.assertEqual(v, stats[k]) 2025-12-04T09:38:04.8071398Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:38:04.8072098Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:38:04.8072491Z AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8072777Z 2025-12-04T09:38:04.8072877Z Expected 196608 but got 0. 2025-12-04T09:38:04.8073131Z Absolute difference: 196608 2025-12-04T09:38:04.8073389Z Relative difference: 1.0 2025-12-04T09:38:04.8073544Z 2025-12-04T09:38:04.8073724Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8074390Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8074900Z 2025-12-04T09:38:04.8075119Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8075612Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8076049Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8076461Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8076888Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8077309Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8077738Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8078254Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8078677Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8079084Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8079512Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8079925Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8080350Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8080860Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8081282Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8081710Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8082132Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8082538Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8082969Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8083380Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8083802Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8084205Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8084624Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8085046Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8085473Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8085879Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8086312Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8086729Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:38:04.8087118Z Traceback (most recent call last): 2025-12-04T09:38:04.8087585Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:38:04.8088058Z check_stats(expected) 2025-12-04T09:38:04.8088851Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:38:04.8089299Z self.assertEqual(v, stats[k]) 2025-12-04T09:38:04.8089903Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:38:04.8090597Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:38:04.8090979Z AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8091196Z 2025-12-04T09:38:04.8091291Z Expected 196608 but got 0. 2025-12-04T09:38:04.8091731Z Absolute difference: 196608 2025-12-04T09:38:04.8091993Z Relative difference: 1.0 2025-12-04T09:38:04.8092154Z 2025-12-04T09:38:04.8092330Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8093009Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8093515Z 2025-12-04T09:38:04.8093733Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8094234Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8094661Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8095076Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8095498Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8095910Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8096336Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8096747Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8097182Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8097596Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8098021Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8098425Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8098849Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8099263Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8099792Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8100209Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8100631Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8101048Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8101470Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8101881Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8102304Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8102705Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8103118Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8103527Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8103946Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8104356Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8104775Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8105196Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8105614Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8106045Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:38:04.8106435Z Traceback (most recent call last): 2025-12-04T09:38:04.8106893Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:38:04.8107405Z check_stats(expected) 2025-12-04T09:38:04.8107802Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:38:04.8108241Z self.assertEqual(v, stats[k]) 2025-12-04T09:38:04.8108829Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:38:04.8109521Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:38:04.8109912Z AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8110116Z 2025-12-04T09:38:04.8110298Z Expected 196608 but got 0. 2025-12-04T09:38:04.8110549Z Absolute difference: 196608 2025-12-04T09:38:04.8110818Z Relative difference: 1.0 2025-12-04T09:38:04.8110974Z 2025-12-04T09:38:04.8111155Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8111827Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8112339Z 2025-12-04T09:38:04.8112551Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8113044Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8113471Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8113883Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8114302Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8114720Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8115139Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8115550Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8115977Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8116386Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8116802Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8117214Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8117680Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8118137Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8118638Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8119052Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8119482Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8119886Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8120305Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8120725Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8121145Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8121559Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8121983Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8122393Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8122813Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8123223Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8123652Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8124053Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8124481Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8124888Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8125304Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8125726Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:38:04.8126109Z Traceback (most recent call last): 2025-12-04T09:38:04.8126568Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:38:04.8127043Z check_stats(expected) 2025-12-04T09:38:04.8127434Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:38:04.8127881Z self.assertEqual(v, stats[k]) 2025-12-04T09:38:04.8128557Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:38:04.8129246Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:38:04.8129631Z AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8129833Z 2025-12-04T09:38:04.8129929Z Expected 196608 but got 0. 2025-12-04T09:38:04.8130172Z Absolute difference: 196608 2025-12-04T09:38:04.8130429Z Relative difference: 1.0 2025-12-04T09:38:04.8130583Z 2025-12-04T09:38:04.8130758Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8131422Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8131936Z 2025-12-04T09:38:04.8132156Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8132646Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8133073Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8133480Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8133899Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8134306Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8134722Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8135124Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8135541Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8135952Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8136369Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8136862Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8137305Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8137740Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8138154Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8138562Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8138981Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8139386Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8139805Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8140210Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8140626Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8141037Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8141456Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8141873Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8142290Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8142696Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8143115Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8143525Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8143950Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8144355Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8144776Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8145187Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8145614Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8146031Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:38:04.8146509Z Traceback (most recent call last): 2025-12-04T09:38:04.8146971Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:38:04.8147441Z check_stats(expected) 2025-12-04T09:38:04.8147876Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:38:04.8148321Z self.assertEqual(v, stats[k]) 2025-12-04T09:38:04.8148915Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:38:04.8149600Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:38:04.8149982Z AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8150185Z 2025-12-04T09:38:04.8150280Z Expected 196608 but got 0. 2025-12-04T09:38:04.8150530Z Absolute difference: 196608 2025-12-04T09:38:04.8150785Z Relative difference: 1.0 2025-12-04T09:38:04.8150941Z 2025-12-04T09:38:04.8151120Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8151797Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8152300Z 2025-12-04T09:38:04.8152514Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8153004Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8153429Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8153835Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8154257Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8154665Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8155204Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8155608Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8156029Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8156438Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8156855Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8157263Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8157679Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8158154Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8158569Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8158980Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8159401Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8159808Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8160231Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8160641Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8161060Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8161463Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8161883Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8162297Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8162718Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8163131Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8163551Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8163967Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8164384Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8164889Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8165315Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8165717Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8166138Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8166547Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8166965Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8167400Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:38:04.8167817Z Traceback (most recent call last): 2025-12-04T09:38:04.8168276Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:38:04.8168748Z check_stats(expected) 2025-12-04T09:38:04.8169138Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:38:04.8169576Z self.assertEqual(v, stats[k]) 2025-12-04T09:38:04.8170173Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:38:04.8170852Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:38:04.8171229Z AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8171431Z 2025-12-04T09:38:04.8171526Z Expected 196608 but got 0. 2025-12-04T09:38:04.8171773Z Absolute difference: 196608 2025-12-04T09:38:04.8172028Z Relative difference: 1.0 2025-12-04T09:38:04.8172185Z 2025-12-04T09:38:04.8172360Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8173036Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8173630Z 2025-12-04T09:38:04.8173844Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8174342Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8174764Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8175172Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8175602Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8176015Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8176432Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8176835Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8177255Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8177671Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8178137Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8178550Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8178971Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8179376Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8179791Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8180197Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8180615Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8181017Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8181433Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8181841Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8182265Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8182672Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8183090Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8183587Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8184002Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8184415Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8184841Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8185249Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8185662Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8186071Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8186485Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8186893Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8187319Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8187731Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8188400Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8188849Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8189267Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8189689Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:38:04.8190073Z Traceback (most recent call last): 2025-12-04T09:38:04.8190538Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:38:04.8191013Z check_stats(expected) 2025-12-04T09:38:04.8191394Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:38:04.8191969Z self.assertEqual(v, stats[k]) 2025-12-04T09:38:04.8192563Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:38:04.8193254Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:38:04.8193634Z AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8193839Z 2025-12-04T09:38:04.8193927Z Expected 196608 but got 0. 2025-12-04T09:38:04.8194179Z Absolute difference: 196608 2025-12-04T09:38:04.8194432Z Relative difference: 1.0 2025-12-04T09:38:04.8194592Z 2025-12-04T09:38:04.8194766Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8195438Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8195944Z 2025-12-04T09:38:04.8196162Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8196659Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8197083Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8197261Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8197408Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8197577Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8197724Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8197892Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8198082Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8198259Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8198400Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8198572Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8198720Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8198888Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8199210Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8199382Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8199523Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8199694Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8199835Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8200007Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8200147Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8200317Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8200465Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8200633Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8200780Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8200956Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8201097Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8201265Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8201407Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8201576Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8201718Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8201888Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8202030Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8202286Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8202429Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8202603Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8202749Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8202916Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8203061Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8203241Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:38:04.8203345Z Traceback (most recent call last): 2025-12-04T09:38:04.8203627Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:38:04.8203719Z check_stats(expected) 2025-12-04T09:38:04.8203950Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:38:04.8204061Z self.assertEqual(v, stats[k]) 2025-12-04T09:38:04.8204471Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:38:04.8204644Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:38:04.8204754Z AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8204759Z 2025-12-04T09:38:04.8204848Z Expected 196608 but got 0. 2025-12-04T09:38:04.8204947Z Absolute difference: 196608 2025-12-04T09:38:04.8205036Z Relative difference: 1.0 2025-12-04T09:38:04.8205040Z 2025-12-04T09:38:04.8205213Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8205618Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8205622Z 2025-12-04T09:38:04.8205835Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8206016Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8206159Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8206412Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8206561Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8206732Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8206879Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8207047Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8207188Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8207361Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8207502Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8207668Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8207819Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8208012Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8208186Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8208355Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8208495Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8208671Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8208811Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8208982Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8209126Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8209295Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8209553Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8209721Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8209867Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8210039Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8210179Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8210347Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8210491Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8210656Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8210801Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8210968Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8211108Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8211291Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8211434Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8211606Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8211755Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8211923Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8212071Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8212239Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8212378Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8212562Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:38:04.8212664Z Traceback (most recent call last): 2025-12-04T09:38:04.8212946Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:38:04.8213044Z check_stats(expected) 2025-12-04T09:38:04.8213274Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:38:04.8213465Z self.assertEqual(v, stats[k]) 2025-12-04T09:38:04.8213881Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:38:04.8214048Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:38:04.8214159Z AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8214163Z 2025-12-04T09:38:04.8214255Z Expected 196608 but got 0. 2025-12-04T09:38:04.8214348Z Absolute difference: 196608 2025-12-04T09:38:04.8214443Z Relative difference: 1.0 2025-12-04T09:38:04.8214447Z 2025-12-04T09:38:04.8214620Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8215024Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8215034Z 2025-12-04T09:38:04.8215242Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8215419Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8215570Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8215740Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8215892Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8216059Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8216198Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8216368Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8216510Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8216758Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8216905Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8217084Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8217235Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8217407Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8217548Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8217725Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8223238Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8223444Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8223594Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8223771Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8223923Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8224092Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8224242Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8224411Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8224553Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8224728Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8224869Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8225045Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8225187Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8225356Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8225504Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8225672Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8225816Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8226103Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8226248Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8226420Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8226561Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8226728Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8226873Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8227041Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8227182Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8227357Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8227499Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8227687Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:38:04.8227792Z Traceback (most recent call last): 2025-12-04T09:38:04.8228072Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:38:04.8228169Z check_stats(expected) 2025-12-04T09:38:04.8228403Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:38:04.8228504Z self.assertEqual(v, stats[k]) 2025-12-04T09:38:04.8228929Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:38:04.8229099Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:38:04.8229214Z AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8229299Z 2025-12-04T09:38:04.8229391Z Expected 196608 but got 0. 2025-12-04T09:38:04.8229485Z Absolute difference: 196608 2025-12-04T09:38:04.8229579Z Relative difference: 1.0 2025-12-04T09:38:04.8229583Z 2025-12-04T09:38:04.8229760Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8230148Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8230157Z 2025-12-04T09:38:04.8230370Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8230542Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8230691Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8230861Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8231003Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8231182Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8231324Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8231499Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8231642Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8231811Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8231954Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8232123Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8232263Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8232439Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8232583Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8232756Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8232901Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8233072Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8233300Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8233472Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8233616Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8233788Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8233929Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8234099Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8234240Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8234408Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8234555Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8234721Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8234867Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8235037Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8235177Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8235349Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8235490Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8235658Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8235800Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8235967Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8236107Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8236360Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8236501Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8236679Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8236821Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8236989Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8237133Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8237300Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8237441Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8237625Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:38:04.8237750Z Traceback (most recent call last): 2025-12-04T09:38:04.8238119Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:38:04.8238222Z check_stats(expected) 2025-12-04T09:38:04.8238455Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:38:04.8238565Z self.assertEqual(v, stats[k]) 2025-12-04T09:38:04.8238974Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:38:04.8239138Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:38:04.8239251Z AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8239256Z 2025-12-04T09:38:04.8239346Z Expected 196608 but got 0. 2025-12-04T09:38:04.8239442Z Absolute difference: 196608 2025-12-04T09:38:04.8239533Z Relative difference: 1.0 2025-12-04T09:38:04.8239537Z 2025-12-04T09:38:04.8239707Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8240105Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8240114Z 2025-12-04T09:38:04.8240328Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8240617Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8240762Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8240931Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8241077Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8241244Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8241388Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8241556Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8241699Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8241870Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8242013Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8242191Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8242332Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8242497Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8242638Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8242809Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8242953Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8243118Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8243258Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8243423Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8243732Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8243896Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8244039Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8244214Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8244350Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8244516Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8244660Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8244826Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8244967Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8245131Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8245275Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8245446Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8245584Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8245755Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8245897Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8246063Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8246204Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8246369Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8246507Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8246677Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8246815Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8246987Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8247129Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8247376Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8247540Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8247729Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8247883Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8248059Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:38:04.8248162Z Traceback (most recent call last): 2025-12-04T09:38:04.8248437Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:38:04.8248531Z check_stats(expected) 2025-12-04T09:38:04.8248758Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:38:04.8248865Z self.assertEqual(v, stats[k]) 2025-12-04T09:38:04.8249269Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:38:04.8249444Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:38:04.8249556Z AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8249560Z 2025-12-04T09:38:04.8249649Z Expected 196608 but got 0. 2025-12-04T09:38:04.8249743Z Absolute difference: 196608 2025-12-04T09:38:04.8249832Z Relative difference: 1.0 2025-12-04T09:38:04.8249836Z 2025-12-04T09:38:04.8250005Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8250398Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8250402Z 2025-12-04T09:38:04.8250610Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8250868Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8251012Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8251185Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8251329Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8251495Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8251638Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8251807Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8251945Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8252118Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8252258Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8252422Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8252573Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8252737Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8252886Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8253057Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8253195Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8253367Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8253508Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8253673Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8253817Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8253986Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8254133Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8254301Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8254524Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8254700Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8254839Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8255003Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8255146Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8255310Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8255448Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8255615Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8255755Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8255928Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8256067Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8256238Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8256379Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8256543Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8256681Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8256850Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8256988Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8257155Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8257294Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8257536Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8257681Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8257853Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8257993Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8258162Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8258300Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8258479Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:38:04.8258581Z Traceback (most recent call last): 2025-12-04T09:38:04.8258851Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:38:04.8258944Z check_stats(expected) 2025-12-04T09:38:04.8259169Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:38:04.8259275Z self.assertEqual(v, stats[k]) 2025-12-04T09:38:04.8259681Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:38:04.8259851Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:38:04.8259963Z AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8259968Z 2025-12-04T09:38:04.8260056Z Expected 196608 but got 0. 2025-12-04T09:38:04.8260146Z Absolute difference: 196608 2025-12-04T09:38:04.8260238Z Relative difference: 1.0 2025-12-04T09:38:04.8260243Z 2025-12-04T09:38:04.8260411Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8260803Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8260813Z 2025-12-04T09:38:04.8261021Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8261191Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8261339Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8261506Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8261724Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8261899Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8262039Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8262209Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8262347Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8262512Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8262652Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8262817Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8262960Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8263132Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8263275Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8263444Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8263583Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8263747Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8263889Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8264055Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8264197Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8264364Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8264501Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8264748Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8264887Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8265060Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8265202Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8265367Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8265505Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8265674Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8265811Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8265982Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8266122Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8266293Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8266435Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8266604Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8266744Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8266913Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8267051Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8267219Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8267361Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8267529Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8267673Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8267838Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8267981Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8268149Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8268391Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8268565Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8268704Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8268871Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8269012Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8269189Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:38:04.8269291Z Traceback (most recent call last): 2025-12-04T09:38:04.8269565Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:38:04.8269660Z check_stats(expected) 2025-12-04T09:38:04.8269885Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:38:04.8269990Z self.assertEqual(v, stats[k]) 2025-12-04T09:38:04.8270400Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:38:04.8270568Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:38:04.8270675Z AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8270680Z 2025-12-04T09:38:04.8270769Z Expected 196608 but got 0. 2025-12-04T09:38:04.8270865Z Absolute difference: 196608 2025-12-04T09:38:04.8270957Z Relative difference: 1.0 2025-12-04T09:38:04.8270961Z 2025-12-04T09:38:04.8271134Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8271523Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8271605Z 2025-12-04T09:38:04.8271815Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8271988Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8272138Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8272304Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8272446Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8272614Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8272754Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8272919Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8273057Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8273224Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8273368Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8273533Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8273675Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8273846Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8273986Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8274151Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8274290Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8274460Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8274598Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8274765Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8274905Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8275076Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8275226Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8275473Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8275614Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8275782Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8275920Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8276084Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8276227Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8276392Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8276533Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8276698Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8276840Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8277008Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8277151Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8277316Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8277458Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8277624Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8277765Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8277929Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8278115Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8278283Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8278503Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8278670Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8278816Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8278984Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8279124Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8279288Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8279425Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8279599Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8279738Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8279902Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8280044Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8280227Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:38:04.8280331Z Traceback (most recent call last): 2025-12-04T09:38:04.8280606Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:38:04.8280694Z check_stats(expected) 2025-12-04T09:38:04.8280924Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:38:04.8281023Z self.assertEqual(v, stats[k]) 2025-12-04T09:38:04.8281426Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:38:04.8281592Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:38:04.8281700Z AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8281704Z 2025-12-04T09:38:04.8281796Z Expected 196608 but got 0. 2025-12-04T09:38:04.8281886Z Absolute difference: 196608 2025-12-04T09:38:04.8281979Z Relative difference: 1.0 2025-12-04T09:38:04.8281984Z 2025-12-04T09:38:04.8282159Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8282640Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8282645Z 2025-12-04T09:38:04.8282862Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8283031Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8283172Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8283344Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8283483Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8283651Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8283792Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8283965Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8284107Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8284277Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8284418Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8284586Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8284732Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8284901Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8285038Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8285206Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8285347Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8285592Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8285735Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8285905Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8286048Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8286212Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8286351Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8286517Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8286656Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8286824Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8286968Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8287132Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8287285Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8287451Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8287593Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8287767Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8287905Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8288070Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8288533Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8288710Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8288854Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8289018Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8289164Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8289334Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8289474Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8289784Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8289934Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8290100Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8290242Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8290407Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8290549Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8290718Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8290858Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8291029Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8291175Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8291349Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8291491Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8291656Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8291795Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8291979Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:38:04.8292083Z Traceback (most recent call last): 2025-12-04T09:38:04.8292357Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:38:04.8292452Z check_stats(expected) 2025-12-04T09:38:04.8292679Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:38:04.8292920Z self.assertEqual(v, stats[k]) 2025-12-04T09:38:04.8293325Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:38:04.8293494Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:38:04.8293611Z AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8293615Z 2025-12-04T09:38:04.8293706Z Expected 196608 but got 0. 2025-12-04T09:38:04.8293797Z Absolute difference: 196608 2025-12-04T09:38:04.8293888Z Relative difference: 1.0 2025-12-04T09:38:04.8293893Z 2025-12-04T09:38:04.8294065Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8294463Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8294467Z 2025-12-04T09:38:04.8294676Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8294850Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8294995Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8295165Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8295310Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8295476Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8295615Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8295784Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8295922Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8296086Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8296232Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8296397Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8296542Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8296708Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8296928Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8297098Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8297240Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8297407Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8297571Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8297760Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8297902Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8298068Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8298212Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8298380Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8298522Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8298686Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8298829Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8298992Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8299134Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8299298Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8299437Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8299606Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8299745Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8299990Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8300133Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8300306Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8300450Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8300615Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8300757Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8300931Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8301069Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8301236Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8301381Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8301550Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8301696Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8301866Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8302004Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8302172Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8302311Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8302476Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8302620Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8302788Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8302932Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8303097Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8303241Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8303418Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8303639Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8303820Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:38:04.8303924Z Traceback (most recent call last): 2025-12-04T09:38:04.8304199Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:38:04.8304295Z check_stats(expected) 2025-12-04T09:38:04.8304523Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:38:04.8304623Z self.assertEqual(v, stats[k]) 2025-12-04T09:38:04.8305032Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:38:04.8305195Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:38:04.8305308Z AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8305312Z 2025-12-04T09:38:04.8305404Z Expected 196608 but got 0. 2025-12-04T09:38:04.8305496Z Absolute difference: 196608 2025-12-04T09:38:04.8305592Z Relative difference: 1.0 2025-12-04T09:38:04.8305601Z 2025-12-04T09:38:04.8305774Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8306166Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8306171Z 2025-12-04T09:38:04.8306385Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8306554Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8306695Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8306868Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8307088Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8307257Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8307403Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8307568Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8307712Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8307877Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8308020Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8308188Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8308326Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8308494Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8308634Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8308806Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8308951Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8309119Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8309258Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8309426Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8309566Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8309733Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8309873Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8310037Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8310180Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8310350Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8310488Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8310738Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8310878Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8311044Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8311184Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8311347Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8311490Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8311656Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8311795Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8311963Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8312106Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8312273Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8312415Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8312579Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8312720Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8312884Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8313023Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8313190Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8313329Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8313496Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8313718Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8313882Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8314031Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8314197Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8314334Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8314501Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8314639Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8314808Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8314946Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8315111Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8315255Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8315423Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8315563Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8315751Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:38:04.8315855Z Traceback (most recent call last): 2025-12-04T09:38:04.8316129Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:38:04.8316219Z check_stats(expected) 2025-12-04T09:38:04.8316444Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:38:04.8316546Z self.assertEqual(v, stats[k]) 2025-12-04T09:38:04.8316948Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:38:04.8317116Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:38:04.8317224Z AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8317233Z 2025-12-04T09:38:04.8317322Z Expected 196608 but got 0. 2025-12-04T09:38:04.8317416Z Absolute difference: 196608 2025-12-04T09:38:04.8317504Z Relative difference: 1.0 2025-12-04T09:38:04.8317508Z 2025-12-04T09:38:04.8317774Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8318214Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8318220Z 2025-12-04T09:38:04.8318427Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8318600Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8318742Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8318910Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8319054Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8319225Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8319366Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8319541Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8319680Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8319852Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8319990Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8320155Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8320295Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8320459Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8320598Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8320765Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8321015Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8321182Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8321326Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8321492Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8321635Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8321799Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8321937Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8322104Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8322244Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8322412Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8322555Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8322721Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8322865Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8323031Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8323170Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8323337Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8323476Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8323645Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8323783Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8323947Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8324090Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8324260Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8324400Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8324650Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8324791Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8324961Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8325101Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8325265Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8325411Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8325576Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8325714Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8325887Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8326026Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8326198Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8326338Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8326502Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8326646Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8326811Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8326949Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8327118Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8327257Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8327424Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8327645Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8327812Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8327958Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8328134Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:38:04.8328236Z Traceback (most recent call last): 2025-12-04T09:38:04.8328510Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:38:04.8328600Z check_stats(expected) 2025-12-04T09:38:04.8328828Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:38:04.8328931Z self.assertEqual(v, stats[k]) 2025-12-04T09:38:04.8329334Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:38:04.8329509Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:38:04.8329618Z AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8329623Z 2025-12-04T09:38:04.8329712Z Expected 196608 but got 0. 2025-12-04T09:38:04.8329810Z Absolute difference: 196608 2025-12-04T09:38:04.8329898Z Relative difference: 1.0 2025-12-04T09:38:04.8329902Z 2025-12-04T09:38:04.8330077Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8330462Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8330466Z 2025-12-04T09:38:04.8330677Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8330847Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8330988Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8331153Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8331307Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8331472Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8331695Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8331864Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8332002Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8332174Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8332313Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8332478Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8332621Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8332786Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8332933Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8333097Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8333235Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8333407Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8333545Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8333709Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8333849Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8334014Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8334154Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8334319Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8334458Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8334708Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8334847Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8335017Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8335160Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8335324Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8335470Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8335634Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8335772Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8335942Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8336083Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8336250Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8336395Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8336560Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8336706Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8336870Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8337009Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8337176Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8337313Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8337478Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8337619Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8337796Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8337971Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8338152Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8338370Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8338538Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8338676Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8338838Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8338981Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8339144Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8339285Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8339450Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8339589Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8339763Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8339900Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8340074Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8340214Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8340382Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8340525Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8340702Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:38:04.8340803Z Traceback (most recent call last): 2025-12-04T09:38:04.8341075Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:38:04.8341164Z check_stats(expected) 2025-12-04T09:38:04.8341390Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:38:04.8341577Z self.assertEqual(v, stats[k]) 2025-12-04T09:38:04.8341985Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:38:04.8342156Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:38:04.8342264Z AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8342269Z 2025-12-04T09:38:04.8342358Z Expected 196608 but got 0. 2025-12-04T09:38:04.8342451Z Absolute difference: 196608 2025-12-04T09:38:04.8342540Z Relative difference: 1.0 2025-12-04T09:38:04.8342545Z 2025-12-04T09:38:04.8342715Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8343105Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8343110Z 2025-12-04T09:38:04.8343321Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8343498Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8343640Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8343809Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8343952Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8344122Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8344264Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8344429Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8344568Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8344734Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8344873Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8345041Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8345182Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8345453Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8345595Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8345760Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8345898Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8346066Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8346209Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8346379Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8351267Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8351475Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8351638Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8351807Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8351958Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8352126Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8352266Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8352433Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8352573Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8352741Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8352885Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8353050Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8353308Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8353473Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8353610Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8353782Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8353920Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8354084Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8354227Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8354393Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8354537Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8354701Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8354839Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8355013Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8355153Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8355323Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8355465Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8355629Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8355770Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8355936Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8356074Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8356243Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8356381Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8356546Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8356695Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8356859Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8357084Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8357251Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8357389Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8357557Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8357695Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8357860Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8358001Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8358257Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8358402Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8358579Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:38:04.8358683Z Traceback (most recent call last): 2025-12-04T09:38:04.8358967Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:38:04.8359058Z check_stats(expected) 2025-12-04T09:38:04.8359286Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:38:04.8359394Z self.assertEqual(v, stats[k]) 2025-12-04T09:38:04.8359807Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:38:04.8359977Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:38:04.8360085Z AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8360090Z 2025-12-04T09:38:04.8360181Z Expected 196608 but got 0. 2025-12-04T09:38:04.8360364Z Absolute difference: 196608 2025-12-04T09:38:04.8360455Z Relative difference: 1.0 2025-12-04T09:38:04.8360459Z 2025-12-04T09:38:04.8360631Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8361031Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8361036Z 2025-12-04T09:38:04.8361246Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8361420Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8361566Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8361735Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8361878Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8362043Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8362184Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8362353Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8362497Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8362666Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8362804Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8362969Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8363110Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8363275Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8363415Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8363583Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8363721Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8363894Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8364033Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8364279Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8364427Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8364592Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8364731Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8364900Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8365039Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8365205Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8365343Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8365513Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8365654Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8365824Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8365964Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8366136Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8366275Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8366444Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8366582Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8366747Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8366896Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8367062Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8367287Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8367456Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8367604Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8367772Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8367910Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8368076Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8368217Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8368382Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8368521Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8368692Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8368835Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8369003Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8369142Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8369310Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8369451Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8369615Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8369753Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8369922Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8370063Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8370229Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8370367Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8370539Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8370680Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8370933Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8371072Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8371240Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8371378Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8371544Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8371684Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8371860Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:38:04.8371968Z Traceback (most recent call last): 2025-12-04T09:38:04.8372241Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:38:04.8372336Z check_stats(expected) 2025-12-04T09:38:04.8372563Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:38:04.8372672Z self.assertEqual(v, stats[k]) 2025-12-04T09:38:04.8373079Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:38:04.8373244Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:38:04.8373353Z AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8373358Z 2025-12-04T09:38:04.8373449Z Expected 196608 but got 0. 2025-12-04T09:38:04.8373540Z Absolute difference: 196608 2025-12-04T09:38:04.8373630Z Relative difference: 1.0 2025-12-04T09:38:04.8373634Z 2025-12-04T09:38:04.8373805Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8374199Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8374285Z 2025-12-04T09:38:04.8374499Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8374676Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8374818Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8374989Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8375130Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8375298Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8375439Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8375606Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8375748Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8375913Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8376060Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8376227Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8376372Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8376540Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8376679Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8376845Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8376987Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8377155Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8377298Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8377464Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8377606Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8377774Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8378022Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8378189Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8378336Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8378502Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8378644Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8378809Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8378948Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8379116Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8379255Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8379424Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8379567Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8379737Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8379879Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8380044Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8380187Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8380354Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8380493Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8380658Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8380801Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8381052Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8381196Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8381366Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8381504Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8381670Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8381811Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8381976Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8382119Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8382284Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8382426Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8382590Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8382732Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8382901Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8383042Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8383209Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8383351Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8383515Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8383657Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8383821Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8383959Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8384126Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8384270Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8384435Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8384576Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8384819Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8384962Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8385126Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8385265Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8385442Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:38:04.8385545Z Traceback (most recent call last): 2025-12-04T09:38:04.8385815Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:38:04.8385907Z check_stats(expected) 2025-12-04T09:38:04.8386134Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:38:04.8386238Z self.assertEqual(v, stats[k]) 2025-12-04T09:38:04.8386651Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:38:04.8386814Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:38:04.8386927Z AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8386931Z 2025-12-04T09:38:04.8387019Z Expected 196608 but got 0. 2025-12-04T09:38:04.8387110Z Absolute difference: 196608 2025-12-04T09:38:04.8387201Z Relative difference: 1.0 2025-12-04T09:38:04.8387206Z 2025-12-04T09:38:04.8387375Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8387772Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8387777Z 2025-12-04T09:38:04.8388012Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8388546Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8388697Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8388870Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8389009Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8389178Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8389317Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8389489Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8389628Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8389795Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8389935Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8390105Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8390244Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8390415Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8390557Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8390725Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8390864Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8391030Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8391171Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8391335Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8391474Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8391643Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8391785Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8391952Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8392232Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8392400Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8392543Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8392710Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8392849Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8393016Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8393156Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8393324Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8393466Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8393631Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8393777Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8393946Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8394085Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8394252Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8394390Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8394557Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8394696Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8394860Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8395002Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8395278Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8395419Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8395595Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8395732Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8395901Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8396039Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8396203Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8396344Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8396509Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8396647Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8396819Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8396958Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8397128Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8397266Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8397431Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8397571Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8397737Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8397875Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8398093Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8398251Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8398445Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8398592Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8398756Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8398982Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8399149Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8399286Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8399453Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8399591Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8399774Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:38:04.8399876Z Traceback (most recent call last): 2025-12-04T09:38:04.8400145Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:38:04.8400237Z check_stats(expected) 2025-12-04T09:38:04.8400467Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:38:04.8400566Z self.assertEqual(v, stats[k]) 2025-12-04T09:38:04.8400977Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:38:04.8401142Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:38:04.8401254Z AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8401259Z 2025-12-04T09:38:04.8401347Z Expected 196608 but got 0. 2025-12-04T09:38:04.8401438Z Absolute difference: 196608 2025-12-04T09:38:04.8401533Z Relative difference: 1.0 2025-12-04T09:38:04.8401537Z 2025-12-04T09:38:04.8401707Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8402098Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8402106Z 2025-12-04T09:38:04.8402425Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8402594Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8402744Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8402914Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8403055Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8403225Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8403365Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8403533Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8403672Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8403837Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8403981Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8404150Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8404288Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8404461Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8404600Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8404768Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8404907Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8405072Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8405218Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8405383Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8405522Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8405693Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8405831Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8406080Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8406222Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8406387Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8406533Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8406697Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8406836Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8407003Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8407141Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8407309Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8407453Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8407617Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8407762Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8407928Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8408067Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8408235Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8408375Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8408542Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8408680Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8408844Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8409063Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8409229Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8409371Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8409538Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8409676Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8409849Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8409990Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8410155Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8410296Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8410461Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8410599Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8410774Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8410913Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8411085Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8411223Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8411389Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8411530Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8411695Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8411833Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8412006Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8412150Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8412319Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8412457Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8412705Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8412845Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8413015Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8413155Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8413320Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8413461Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8413627Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8413765Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8413946Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:38:04.8414052Z Traceback (most recent call last): 2025-12-04T09:38:04.8414326Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:38:04.8414417Z check_stats(expected) 2025-12-04T09:38:04.8414648Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:38:04.8414750Z self.assertEqual(v, stats[k]) 2025-12-04T09:38:04.8415156Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:38:04.8415320Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:38:04.8415431Z AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8415436Z 2025-12-04T09:38:04.8415524Z Expected 196608 but got 0. 2025-12-04T09:38:04.8415622Z Absolute difference: 196608 2025-12-04T09:38:04.8415710Z Relative difference: 1.0 2025-12-04T09:38:04.8415714Z 2025-12-04T09:38:04.8415883Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8416358Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8416362Z 2025-12-04T09:38:04.8416576Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8416750Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8416891Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8417059Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8417205Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8417371Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8417510Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8417678Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8417845Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8418040Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8418183Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8418349Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8418492Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8418660Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8418801Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8418969Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8419113Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8419285Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8419425Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8419597Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8419740Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8419984Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8420124Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8420291Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8420430Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8420599Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8420737Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8420901Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8421043Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8421213Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8421352Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8421525Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8421663Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8421829Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8421968Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8422132Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8422273Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8422438Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8422577Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8422744Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8422963Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8423132Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8423278Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8423442Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8423582Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8423747Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8423887Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8424057Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8424196Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8424362Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8424506Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8424671Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8424813Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8424982Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8425119Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8425287Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8425426Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8425595Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8425734Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8425899Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8426042Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8426213Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8426352Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8426600Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8426741Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8426910Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8427049Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8427214Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8427359Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8427536Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8427698Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8427885Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8428026Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8428199Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8428338Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8428515Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:38:04.8428621Z Traceback (most recent call last): 2025-12-04T09:38:04.8428891Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:38:04.8428983Z check_stats(expected) 2025-12-04T09:38:04.8429217Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:38:04.8429319Z self.assertEqual(v, stats[k]) 2025-12-04T09:38:04.8429722Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:38:04.8429993Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:38:04.8430102Z AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8430107Z 2025-12-04T09:38:04.8430198Z Expected 196608 but got 0. 2025-12-04T09:38:04.8430297Z Absolute difference: 196608 2025-12-04T09:38:04.8430388Z Relative difference: 1.0 2025-12-04T09:38:04.8430392Z 2025-12-04T09:38:04.8430568Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8430959Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8430963Z 2025-12-04T09:38:04.8431175Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8431344Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8431486Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8431656Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8431804Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8431970Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8432115Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8432280Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8432427Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8432596Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8432735Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8432907Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8433046Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8433211Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8433363Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8433527Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8433764Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8433930Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8434067Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8434240Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8434383Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8434550Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8434695Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8434859Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8435000Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8435170Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8435308Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8435481Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8435621Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8435786Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8435928Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8436093Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8436235Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8436399Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8436538Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8436787Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8436926Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8437095Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8437241Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8437432Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8437592Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8437757Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8437894Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8438113Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8438255Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8438419Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8438567Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8438732Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8438883Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8439047Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8439185Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8439352Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8439490Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8439654Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8439797Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8439961Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8440106Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8440271Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8440409Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8440658Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8440802Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8440966Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8441109Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8441273Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8441414Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8441578Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8441717Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8441888Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8442032Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8442202Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8442346Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8442513Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8442657Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8442822Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8442961Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8443130Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8443268Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8443445Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:38:04.8443627Z Traceback (most recent call last): 2025-12-04T09:38:04.8443898Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:38:04.8443999Z check_stats(expected) 2025-12-04T09:38:04.8444227Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:38:04.8444328Z self.assertEqual(v, stats[k]) 2025-12-04T09:38:04.8444737Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:38:04.8444901Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:38:04.8445007Z AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8445011Z 2025-12-04T09:38:04.8445107Z Expected 196608 but got 0. 2025-12-04T09:38:04.8445198Z Absolute difference: 196608 2025-12-04T09:38:04.8445290Z Relative difference: 1.0 2025-12-04T09:38:04.8445299Z 2025-12-04T09:38:04.8445469Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8445860Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8445869Z 2025-12-04T09:38:04.8446083Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8446251Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8446394Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8446560Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8446701Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8446867Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8447005Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8447169Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8447319Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8447484Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8447713Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8447907Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8448066Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8448237Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8448375Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8448543Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8448684Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8448848Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8448992Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8449161Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8449304Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8449472Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8449611Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8449775Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8449918Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8450083Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8450222Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8450389Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8450528Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8450775Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8450914Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8451085Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8451228Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8451392Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8451530Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8451698Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8451839Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8452006Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8452144Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8452315Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8452457Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8452627Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8452766Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8452934Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8453072Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8453239Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8453377Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8453544Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8453685Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8453850Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8453994Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8454162Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8454405Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8454575Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8454713Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8454878Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8455018Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8455182Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8455321Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8455490Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8455633Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8455800Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8455939Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8456111Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8456254Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8456419Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8456558Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8456725Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8456863Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8457029Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8457167Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8457543Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8457686Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8457856Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8458019Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8458211Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8458349Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8458517Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8458655Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8458830Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:38:04.8458936Z Traceback (most recent call last): 2025-12-04T09:38:04.8459212Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:38:04.8459310Z check_stats(expected) 2025-12-04T09:38:04.8459537Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:38:04.8459641Z self.assertEqual(v, stats[k]) 2025-12-04T09:38:04.8460047Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:38:04.8460211Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:38:04.8460320Z AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8460325Z 2025-12-04T09:38:04.8460416Z Expected 196608 but got 0. 2025-12-04T09:38:04.8460507Z Absolute difference: 196608 2025-12-04T09:38:04.8460597Z Relative difference: 1.0 2025-12-04T09:38:04.8460602Z 2025-12-04T09:38:04.8460775Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8461168Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8461179Z 2025-12-04T09:38:04.8461390Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8461639Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8461784Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8461954Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8462094Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8462263Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8462403Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8462569Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8462711Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8462876Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8463021Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8463198Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8463340Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8463507Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8463645Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8463810Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8463952Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8464117Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8464256Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8464424Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8464641Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8464814Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8464959Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8465127Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8465270Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8465435Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8465573Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8465740Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8465878Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8466046Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8466184Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8466355Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8466498Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8466666Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8466805Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8466973Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8467112Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8467281Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8467420Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8467597Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8467759Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8467950Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8468089Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8468339Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8468479Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8468648Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8468786Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8468950Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8469091Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8469255Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8469394Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8469562Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8469711Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8469880Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8470026Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8470193Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8470334Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8470503Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8470641Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8470811Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8470949Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8471117Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8471330Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8471495Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8471635Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8471810Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8471948Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8472115Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8472253Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8472421Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8472559Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8472723Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8473124Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8473379Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8477532Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8477734Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8477880Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8478156Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8478303Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8478473Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8478611Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8478787Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:38:04.8478893Z Traceback (most recent call last): 2025-12-04T09:38:04.8479170Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:38:04.8479267Z check_stats(expected) 2025-12-04T09:38:04.8479501Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:38:04.8479709Z self.assertEqual(v, stats[k]) 2025-12-04T09:38:04.8480128Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:38:04.8480294Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:38:04.8480402Z AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8480408Z 2025-12-04T09:38:04.8480499Z Expected 196608 but got 0. 2025-12-04T09:38:04.8480593Z Absolute difference: 196608 2025-12-04T09:38:04.8480682Z Relative difference: 1.0 2025-12-04T09:38:04.8480686Z 2025-12-04T09:38:04.8480860Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8481252Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8481261Z 2025-12-04T09:38:04.8481472Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8481648Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8481790Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8481959Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8482098Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8482264Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8482405Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8482569Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8482716Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8482881Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8483102Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8483269Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8483415Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8483580Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8483721Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8483885Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8484026Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8484191Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8484330Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8484498Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8484642Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8484806Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8484953Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8485117Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8485259Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8485422Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8485561Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8485727Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8485865Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8486033Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8486177Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8486347Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8486489Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8486733Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8486874Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8487043Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8487181Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8487348Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8487489Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8487655Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8487800Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8487968Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8488106Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8488566Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8488712Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8488878Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8489023Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8489187Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8489328Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8489493Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8489631Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8489801Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8490078Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8490242Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8490386Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8490549Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8490690Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8490855Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8490994Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8491163Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8491301Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8491465Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8491612Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8491776Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8491917Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8492085Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8492223Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8492391Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8492529Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8492695Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8492838Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8493002Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8493143Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8493313Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8493452Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8493725Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8493866Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8494032Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8494175Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8494340Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8494484Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8494648Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8494784Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8494965Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:38:04.8495075Z Traceback (most recent call last): 2025-12-04T09:38:04.8495349Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:38:04.8495448Z check_stats(expected) 2025-12-04T09:38:04.8495675Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:38:04.8495777Z self.assertEqual(v, stats[k]) 2025-12-04T09:38:04.8496182Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:38:04.8496346Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:38:04.8496456Z AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8496461Z 2025-12-04T09:38:04.8496550Z Expected 196608 but got 0. 2025-12-04T09:38:04.8496643Z Absolute difference: 196608 2025-12-04T09:38:04.8496735Z Relative difference: 1.0 2025-12-04T09:38:04.8496815Z 2025-12-04T09:38:04.8496985Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8497376Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8497385Z 2025-12-04T09:38:04.8497593Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8497782Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8497948Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8498125Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8498266Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8498432Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8498570Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8498737Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8498883Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8499048Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8499194Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8499359Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8499501Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8499665Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8499804Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8499972Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8500110Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8500274Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8500423Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8500586Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8500807Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8500976Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8501113Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8501281Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8501419Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8501583Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8501724Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8501888Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8502031Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8502199Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8502337Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8502511Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8502648Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8502816Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8502952Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8503116Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8503257Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8503421Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8503558Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8503837Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8503976Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8504149Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8504290Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8504455Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8504594Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8504759Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8504900Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8505069Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8505207Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8505374Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8505517Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8505682Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8505829Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8505995Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8506133Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8506302Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8506439Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8506608Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8506748Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8506912Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8507063Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8507228Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8507366Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8507620Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8507761Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8507929Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8508067Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8508230Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8508372Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8508538Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8508676Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8508848Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8508986Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8509158Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8509297Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8509462Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8509605Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8509770Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8509907Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8510075Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8510212Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8510380Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8510692Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8510857Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8511002Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8511177Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:38:04.8511279Z Traceback (most recent call last): 2025-12-04T09:38:04.8511553Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:38:04.8511642Z check_stats(expected) 2025-12-04T09:38:04.8511869Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:38:04.8511967Z self.assertEqual(v, stats[k]) 2025-12-04T09:38:04.8512373Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:38:04.8512544Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:38:04.8512652Z AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8512657Z 2025-12-04T09:38:04.8512746Z Expected 196608 but got 0. 2025-12-04T09:38:04.8512845Z Absolute difference: 196608 2025-12-04T09:38:04.8512932Z Relative difference: 1.0 2025-12-04T09:38:04.8512936Z 2025-12-04T09:38:04.8513108Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8513499Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8513503Z 2025-12-04T09:38:04.8513714Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8513884Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8514025Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8514191Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8514337Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8514503Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8514728Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8514894Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8515031Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8515198Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8515337Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8515501Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8515645Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8515809Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8515954Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8516119Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8516262Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8516428Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8516567Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8516730Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8516872Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8517037Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8517178Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8517341Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8517479Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8517727Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8517869Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8518152Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8518309Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8518474Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8518614Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8518778Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8518918Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8519085Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8519222Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8519391Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8519533Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8519699Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8519839Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8520003Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8520141Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8520308Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8520447Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8520610Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8520750Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8520914Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8521059Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8521224Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8521446Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8521617Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8521757Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8521921Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8522061Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8522226Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8522369Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8522533Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8522677Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8522845Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8522985Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8523153Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8523294Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8523458Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8523597Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8523761Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8523898Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8524066Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8524204Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8524450Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8524591Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8524761Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8524902Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8525065Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8525202Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8525369Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8525506Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8525670Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8525811Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8525975Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8526120Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8526284Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8526426Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8526593Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8526731Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8526894Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8527035Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8527199Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8527340Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8527515Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:38:04.8527622Z Traceback (most recent call last): 2025-12-04T09:38:04.8527896Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:38:04.8527986Z check_stats(expected) 2025-12-04T09:38:04.8528323Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:38:04.8528426Z self.assertEqual(v, stats[k]) 2025-12-04T09:38:04.8528830Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:38:04.8529000Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:38:04.8529107Z AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8529112Z 2025-12-04T09:38:04.8529200Z Expected 196608 but got 0. 2025-12-04T09:38:04.8529293Z Absolute difference: 196608 2025-12-04T09:38:04.8529382Z Relative difference: 1.0 2025-12-04T09:38:04.8529386Z 2025-12-04T09:38:04.8529554Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8529952Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8529956Z 2025-12-04T09:38:04.8530172Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8530342Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8530485Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8530651Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8530794Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8530959Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8531100Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8531265Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8531486Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8531653Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8531795Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8531958Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8532099Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8532263Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8532406Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8532572Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8532709Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8532875Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8533013Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8533181Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8533323Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8533491Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8533631Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8533795Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8533933Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8534101Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8534239Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8534403Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8534544Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8534713Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8534853Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8535095Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8535235Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8535402Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8535539Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8535703Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8535843Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8536009Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8536154Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8536318Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8536460Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8536626Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8536769Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8536933Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8537072Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8537236Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8537377Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8537542Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8537679Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8537847Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8538073Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8538239Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8538377Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8538550Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8538688Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8538853Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8538994Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8539159Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8539299Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8539464Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8539602Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8539775Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8539912Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8540081Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8540227Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8540391Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8540531Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8540696Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8540833Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8541005Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8541143Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8541307Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8541452Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8541618Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8541839Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8542004Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8542142Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8542309Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8542449Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8542614Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8542757Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8542920Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8543065Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8543229Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8543371Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8543538Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8543677Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8543843Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8543984Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8544162Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:38:04.8544266Z Traceback (most recent call last): 2025-12-04T09:38:04.8544534Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:38:04.8544625Z check_stats(expected) 2025-12-04T09:38:04.8544938Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:38:04.8545039Z self.assertEqual(v, stats[k]) 2025-12-04T09:38:04.8545451Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:38:04.8545619Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:38:04.8545727Z AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8545731Z 2025-12-04T09:38:04.8545823Z Expected 196608 but got 0. 2025-12-04T09:38:04.8545915Z Absolute difference: 196608 2025-12-04T09:38:04.8546003Z Relative difference: 1.0 2025-12-04T09:38:04.8546007Z 2025-12-04T09:38:04.8546180Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8546572Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8546576Z 2025-12-04T09:38:04.8546794Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8546962Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8547107Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8547278Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8547422Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8547613Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8547778Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8547942Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8548083Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8548249Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8548386Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8548558Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8548696Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8548958Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8549103Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8549267Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8549407Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8549571Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8549708Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8549875Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8550015Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8550185Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8550324Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8550493Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8550633Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8550796Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8550935Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8551101Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8551239Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8551404Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8551549Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8551712Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8551935Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8552099Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8552242Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8552409Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8552546Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8552711Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8552850Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8553016Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8553161Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8553325Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8553469Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8553644Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8553782Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8553950Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8554091Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8554254Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8554397Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8554561Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8554699Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8554873Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8555011Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8555183Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8555326Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8555598Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8555740Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8555904Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8556042Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8556219Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8556357Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8556523Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8556662Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8556827Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8556973Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8557138Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8557305Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8557496Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8557633Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8557797Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8557942Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8558157Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8558301Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8558466Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8558687Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8558853Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8558998Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8559163Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8559303Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8559466Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8559607Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8559772Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8559909Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8560079Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8560217Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8560386Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8560527Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8560695Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8560837Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8561002Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8561140Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8561318Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:38:04.8561420Z Traceback (most recent call last): 2025-12-04T09:38:04.8561694Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:38:04.8561786Z check_stats(expected) 2025-12-04T09:38:04.8562011Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:38:04.8562115Z self.assertEqual(v, stats[k]) 2025-12-04T09:38:04.8562604Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:38:04.8562770Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:38:04.8562881Z AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8562886Z 2025-12-04T09:38:04.8562973Z Expected 196608 but got 0. 2025-12-04T09:38:04.8563063Z Absolute difference: 196608 2025-12-04T09:38:04.8563157Z Relative difference: 1.0 2025-12-04T09:38:04.8563161Z 2025-12-04T09:38:04.8563329Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8563721Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8563725Z 2025-12-04T09:38:04.8563933Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8564104Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8564249Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8564421Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8564560Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8564729Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8564869Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8565036Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8565174Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8565338Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8565479Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8565721Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8565860Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8566032Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8566169Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8566336Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8566474Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8566638Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8566780Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8566944Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8567082Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8567249Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8567391Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8567558Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8567725Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8567914Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8568058Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8568223Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8568365Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8568535Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8568673Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8568842Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8568986Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8569150Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8569290Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8569536Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8569677Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8569844Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8569983Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8570150Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8570287Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8570451Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8570591Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8570759Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8570897Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8571070Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8571208Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8571375Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8571516Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8571681Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8571822Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8571986Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8572123Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8572291Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8572507Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8572674Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8572817Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8572981Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8573121Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8573285Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8573424Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8573592Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8573730Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8573897Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8574039Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8574203Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8574348Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8574513Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8574651Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8574822Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8574966Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8575133Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8575273Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8575437Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8575578Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8575749Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8575887Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8576142Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8576282Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8576453Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8576590Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8576754Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8576894Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8577059Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8577197Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8577370Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8577508Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8577686Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8577824Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8577989Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8578132Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8578298Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8578436Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8578613Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:38:04.8578716Z Traceback (most recent call last): 2025-12-04T09:38:04.8578990Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:38:04.8579246Z check_stats(expected) 2025-12-04T09:38:04.8579473Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:38:04.8579580Z self.assertEqual(v, stats[k]) 2025-12-04T09:38:04.8579989Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:38:04.8580152Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:38:04.8580262Z AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8580266Z 2025-12-04T09:38:04.8580353Z Expected 196608 but got 0. 2025-12-04T09:38:04.8580447Z Absolute difference: 196608 2025-12-04T09:38:04.8580537Z Relative difference: 1.0 2025-12-04T09:38:04.8580542Z 2025-12-04T09:38:04.8580710Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8581105Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8581114Z 2025-12-04T09:38:04.8581323Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8581503Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8581646Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8581811Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8581954Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8582120Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8582258Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8582426Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8582565Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8582733Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8582879Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8583044Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8583265Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8583431Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8583569Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8583737Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8583875Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8584045Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8584187Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8584352Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8584500Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8584665Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8584804Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8584984Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8585122Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8585288Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8585426Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8585589Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8585730Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8585895Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8586032Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8586281Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8586421Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8586590Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8586731Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8586897Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8587041Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8587207Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8587344Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8587514Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8587651Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8587817Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8587963Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8588128Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8588578Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8588751Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8588891Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8589057Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8589196Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8589360Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8589500Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8589666Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8589818Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8589982Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8590253Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8590426Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8590564Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8590732Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8590873Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8591038Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8591178Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8591341Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8591479Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8591650Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8591790Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8591962Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8592103Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8592267Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8592408Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8592572Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8592711Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8592878Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8593018Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8593291Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8593434Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8593605Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8593746Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8593911Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8594049Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8594218Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8594356Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8594522Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8594662Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8594826Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8594973Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8595136Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8595280Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8595448Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8595590Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8595755Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8595895Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8596059Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8596201Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8596366Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8596514Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8596696Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:38:04.8596797Z Traceback (most recent call last): 2025-12-04T09:38:04.8597147Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:38:04.8597240Z check_stats(expected) 2025-12-04T09:38:04.8597466Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:38:04.8597571Z self.assertEqual(v, stats[k]) 2025-12-04T09:38:04.8598073Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:38:04.8598238Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:38:04.8598349Z AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8598353Z 2025-12-04T09:38:04.8598440Z Expected 196608 but got 0. 2025-12-04T09:38:04.8598531Z Absolute difference: 196608 2025-12-04T09:38:04.8598633Z Relative difference: 1.0 2025-12-04T09:38:04.8598637Z 2025-12-04T09:38:04.8598812Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8603029Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8603037Z 2025-12-04T09:38:04.8603270Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8603450Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8603600Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8603768Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8603912Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8604079Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8604333Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8604498Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8604641Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8604812Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8604951Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8605116Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8605261Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8605424Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8605565Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8605729Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8605867Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8606050Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8606188Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8606357Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8606497Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8606661Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8606802Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8606967Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8607104Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8607272Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8607409Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8607574Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8607722Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8607889Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8608111Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8608277Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8608415Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8608586Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8608723Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8608887Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8609028Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8609192Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8609339Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8609502Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8609644Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8609810Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8609947Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8610112Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8610253Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8610420Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8610560Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8610724Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8610861Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8611136Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8611274Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8611443Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8611586Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8611754Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8611895Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8612062Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8612204Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8612371Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8612509Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8612677Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8612824Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8612994Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8613136Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8613300Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8613438Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8613605Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8613743Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8613907Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8614048Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8614212Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8614363Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8614527Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8614750Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8614918Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8615056Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8615219Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8615360Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8615525Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8615671Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8615834Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8615984Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8616156Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8616297Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8616468Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8616609Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8616772Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8616913Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8617077Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8617217Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8617387Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8617527Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8617774Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8617925Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8618121Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8618276Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8618443Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8618582Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8618765Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:38:04.8618871Z Traceback (most recent call last): 2025-12-04T09:38:04.8619143Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:38:04.8619237Z check_stats(expected) 2025-12-04T09:38:04.8619464Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:38:04.8619574Z self.assertEqual(v, stats[k]) 2025-12-04T09:38:04.8619989Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:38:04.8620159Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:38:04.8620271Z AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8620276Z 2025-12-04T09:38:04.8620364Z Expected 196608 but got 0. 2025-12-04T09:38:04.8620455Z Absolute difference: 196608 2025-12-04T09:38:04.8620547Z Relative difference: 1.0 2025-12-04T09:38:04.8620551Z 2025-12-04T09:38:04.8620723Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8621113Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8621117Z 2025-12-04T09:38:04.8621325Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8621502Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8621648Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8621897Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8622038Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8622206Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8622345Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8622512Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8622655Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8622819Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8622959Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8623124Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8623267Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8623433Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8623577Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8623750Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8623888Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8624053Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8624194Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8624361Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8624500Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8624668Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8624964Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8625131Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8625275Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8625441Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8625582Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8625747Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8625889Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8626061Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8626198Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8626364Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8626502Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8626671Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8626813Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8626986Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8627128Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8627292Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8627433Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8627621Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8627779Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8627956Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8628096Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8628265Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8628406Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8628650Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8628791Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8628959Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8629097Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8629266Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8629405Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8629569Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8629712Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8629877Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8630024Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8630192Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8630339Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8630507Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8630647Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8630813Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8630960Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8631124Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8631262Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8631429Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8631651Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8631817Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8631959Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8632130Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8632276Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8632440Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8632581Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8632748Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8632885Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8633049Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8633191Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8633364Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8633509Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8633678Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8633816Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8633985Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8634123Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8634288Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8634428Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8634597Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8634739Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8634903Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8635046Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8635214Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8635461Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8635628Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8635768Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8635932Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8636074Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8636239Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8636378Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8636544Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8636688Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8636853Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:38:04.8636999Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:38:04.8637586Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda_expandable_segments/test_cuda_expandable_segments-db19b41cd39a74c2.xml - 2025-12-04T09:38:04.8637726Z =========================== short test summary info ============================ 2025-12-04T09:38:04.8638366Z FAILED [0.0792s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmp5s3mjvlq.pl' 2025-12-04T09:38:04.8638799Z FAILED [10.0107s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:38:04.8638806Z 2025-12-04T09:38:04.8638978Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8639525Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:38:04.8639530Z 2025-12-04T09:38:04.8639750Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8640123Z FAILED [0.2767s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8640128Z 2025-12-04T09:38:04.8640219Z Expected 196608 but got 0. 2025-12-04T09:38:04.8640310Z Absolute difference: 196608 2025-12-04T09:38:04.8640398Z Relative difference: 1.0 2025-12-04T09:38:04.8640402Z 2025-12-04T09:38:04.8640574Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8640966Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8640982Z 2025-12-04T09:38:04.8641190Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8641566Z FAILED [0.1303s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8641575Z 2025-12-04T09:38:04.8641664Z Expected 196608 but got 0. 2025-12-04T09:38:04.8641758Z Absolute difference: 196608 2025-12-04T09:38:04.8641847Z Relative difference: 1.0 2025-12-04T09:38:04.8641851Z 2025-12-04T09:38:04.8642022Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8642414Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8642418Z 2025-12-04T09:38:04.8642627Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8642998Z FAILED [0.1298s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8643010Z 2025-12-04T09:38:04.8643098Z Expected 196608 but got 0. 2025-12-04T09:38:04.8643188Z Absolute difference: 196608 2025-12-04T09:38:04.8643278Z Relative difference: 1.0 2025-12-04T09:38:04.8643282Z 2025-12-04T09:38:04.8643528Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8643920Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8643924Z 2025-12-04T09:38:04.8644130Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8644497Z FAILED [0.1297s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8644502Z 2025-12-04T09:38:04.8644592Z Expected 196608 but got 0. 2025-12-04T09:38:04.8644682Z Absolute difference: 196608 2025-12-04T09:38:04.8644773Z Relative difference: 1.0 2025-12-04T09:38:04.8644777Z 2025-12-04T09:38:04.8644953Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8645342Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8645347Z 2025-12-04T09:38:04.8645560Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8645925Z FAILED [0.1298s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8645929Z 2025-12-04T09:38:04.8646019Z Expected 196608 but got 0. 2025-12-04T09:38:04.8646110Z Absolute difference: 196608 2025-12-04T09:38:04.8646201Z Relative difference: 1.0 2025-12-04T09:38:04.8646206Z 2025-12-04T09:38:04.8646377Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8646762Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8646849Z 2025-12-04T09:38:04.8647054Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8647455Z FAILED [0.1312s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8647464Z 2025-12-04T09:38:04.8647568Z Expected 196608 but got 0. 2025-12-04T09:38:04.8647665Z Absolute difference: 196608 2025-12-04T09:38:04.8647753Z Relative difference: 1.0 2025-12-04T09:38:04.8647758Z 2025-12-04T09:38:04.8647926Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8648317Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8648321Z 2025-12-04T09:38:04.8648526Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8648895Z FAILED [0.1292s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8648903Z 2025-12-04T09:38:04.8648990Z Expected 196608 but got 0. 2025-12-04T09:38:04.8649080Z Absolute difference: 196608 2025-12-04T09:38:04.8649170Z Relative difference: 1.0 2025-12-04T09:38:04.8649174Z 2025-12-04T09:38:04.8649346Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8649735Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8649740Z 2025-12-04T09:38:04.8649944Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8650309Z FAILED [0.1291s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8650314Z 2025-12-04T09:38:04.8650405Z Expected 196608 but got 0. 2025-12-04T09:38:04.8650495Z Absolute difference: 196608 2025-12-04T09:38:04.8650585Z Relative difference: 1.0 2025-12-04T09:38:04.8650592Z 2025-12-04T09:38:04.8650766Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8651152Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8651156Z 2025-12-04T09:38:04.8651446Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8651814Z FAILED [0.1310s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8651818Z 2025-12-04T09:38:04.8651909Z Expected 196608 but got 0. 2025-12-04T09:38:04.8651999Z Absolute difference: 196608 2025-12-04T09:38:04.8652087Z Relative difference: 1.0 2025-12-04T09:38:04.8652091Z 2025-12-04T09:38:04.8652263Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8652649Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8652658Z 2025-12-04T09:38:04.8652863Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8653234Z FAILED [0.1292s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8653243Z 2025-12-04T09:38:04.8653330Z Expected 196608 but got 0. 2025-12-04T09:38:04.8653423Z Absolute difference: 196608 2025-12-04T09:38:04.8653512Z Relative difference: 1.0 2025-12-04T09:38:04.8653516Z 2025-12-04T09:38:04.8653683Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8654070Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8654074Z 2025-12-04T09:38:04.8654280Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8654646Z FAILED [0.1295s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8654728Z 2025-12-04T09:38:04.8654817Z Expected 196608 but got 0. 2025-12-04T09:38:04.8654906Z Absolute difference: 196608 2025-12-04T09:38:04.8654995Z Relative difference: 1.0 2025-12-04T09:38:04.8654999Z 2025-12-04T09:38:04.8655171Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8655558Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8655563Z 2025-12-04T09:38:04.8655767Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8656133Z FAILED [0.1306s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8656138Z 2025-12-04T09:38:04.8656227Z Expected 196608 but got 0. 2025-12-04T09:38:04.8656316Z Absolute difference: 196608 2025-12-04T09:38:04.8656403Z Relative difference: 1.0 2025-12-04T09:38:04.8656410Z 2025-12-04T09:38:04.8656586Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8656973Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8656977Z 2025-12-04T09:38:04.8657190Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8657554Z FAILED [0.1293s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8657558Z 2025-12-04T09:38:04.8657648Z Expected 196608 but got 0. 2025-12-04T09:38:04.8657740Z Absolute difference: 196608 2025-12-04T09:38:04.8657829Z Relative difference: 1.0 2025-12-04T09:38:04.8657833Z 2025-12-04T09:38:04.8658008Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8658394Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8658403Z 2025-12-04T09:38:04.8658607Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8658976Z FAILED [0.1302s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8659058Z 2025-12-04T09:38:04.8659147Z Expected 196608 but got 0. 2025-12-04T09:38:04.8659241Z Absolute difference: 196608 2025-12-04T09:38:04.8659328Z Relative difference: 1.0 2025-12-04T09:38:04.8659332Z 2025-12-04T09:38:04.8659502Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8659890Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8659894Z 2025-12-04T09:38:04.8660097Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8660466Z FAILED [0.1295s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8660474Z 2025-12-04T09:38:04.8660562Z Expected 196608 but got 0. 2025-12-04T09:38:04.8660653Z Absolute difference: 196608 2025-12-04T09:38:04.8660744Z Relative difference: 1.0 2025-12-04T09:38:04.8660748Z 2025-12-04T09:38:04.8660923Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8661312Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8661316Z 2025-12-04T09:38:04.8661520Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8661884Z FAILED [0.1299s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8661888Z 2025-12-04T09:38:04.8661980Z Expected 196608 but got 0. 2025-12-04T09:38:04.8662071Z Absolute difference: 196608 2025-12-04T09:38:04.8662158Z Relative difference: 1.0 2025-12-04T09:38:04.8662164Z 2025-12-04T09:38:04.8662421Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8662805Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8662809Z 2025-12-04T09:38:04.8663025Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8663391Z FAILED [0.1299s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8663395Z 2025-12-04T09:38:04.8663488Z Expected 196608 but got 0. 2025-12-04T09:38:04.8663579Z Absolute difference: 196608 2025-12-04T09:38:04.8663667Z Relative difference: 1.0 2025-12-04T09:38:04.8663671Z 2025-12-04T09:38:04.8663841Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8664224Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8664233Z 2025-12-04T09:38:04.8664437Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8664805Z FAILED [0.1296s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8664813Z 2025-12-04T09:38:04.8664901Z Expected 196608 but got 0. 2025-12-04T09:38:04.8664993Z Absolute difference: 196608 2025-12-04T09:38:04.8665081Z Relative difference: 1.0 2025-12-04T09:38:04.8665085Z 2025-12-04T09:38:04.8665253Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8665640Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8665644Z 2025-12-04T09:38:04.8665849Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8666217Z FAILED [0.1319s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8666226Z 2025-12-04T09:38:04.8666314Z Expected 196608 but got 0. 2025-12-04T09:38:04.8666403Z Absolute difference: 196608 2025-12-04T09:38:04.8666493Z Relative difference: 1.0 2025-12-04T09:38:04.8666497Z 2025-12-04T09:38:04.8666804Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8667194Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8667198Z 2025-12-04T09:38:04.8667402Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8667768Z FAILED [0.1298s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8667772Z 2025-12-04T09:38:04.8667871Z Expected 196608 but got 0. 2025-12-04T09:38:04.8667977Z Absolute difference: 196608 2025-12-04T09:38:04.8668081Z Relative difference: 1.0 2025-12-04T09:38:04.8668091Z 2025-12-04T09:38:04.8668275Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8668663Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8668667Z 2025-12-04T09:38:04.8668881Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8669245Z FAILED [0.1307s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8669250Z 2025-12-04T09:38:04.8669339Z Expected 196608 but got 0. 2025-12-04T09:38:04.8669429Z Absolute difference: 196608 2025-12-04T09:38:04.8669518Z Relative difference: 1.0 2025-12-04T09:38:04.8669522Z 2025-12-04T09:38:04.8669693Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8670078Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8670160Z 2025-12-04T09:38:04.8670367Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8670734Z FAILED [0.1303s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8670743Z 2025-12-04T09:38:04.8670831Z Expected 196608 but got 0. 2025-12-04T09:38:04.8670928Z Absolute difference: 196608 2025-12-04T09:38:04.8671021Z Relative difference: 1.0 2025-12-04T09:38:04.8671025Z 2025-12-04T09:38:04.8671194Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8671579Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8671583Z 2025-12-04T09:38:04.8671791Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8672155Z FAILED [0.1301s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8672164Z 2025-12-04T09:38:04.8672261Z Expected 196608 but got 0. 2025-12-04T09:38:04.8672351Z Absolute difference: 196608 2025-12-04T09:38:04.8672437Z Relative difference: 1.0 2025-12-04T09:38:04.8672441Z 2025-12-04T09:38:04.8672617Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8673003Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8673007Z 2025-12-04T09:38:04.8673214Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8673580Z FAILED [0.1300s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8673584Z 2025-12-04T09:38:04.8673673Z Expected 196608 but got 0. 2025-12-04T09:38:04.8673766Z Absolute difference: 196608 2025-12-04T09:38:04.8673857Z Relative difference: 1.0 2025-12-04T09:38:04.8673861Z 2025-12-04T09:38:04.8674032Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8674423Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8674427Z 2025-12-04T09:38:04.8674722Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8675093Z FAILED [0.1300s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8675097Z 2025-12-04T09:38:04.8675185Z Expected 196608 but got 0. 2025-12-04T09:38:04.8675273Z Absolute difference: 196608 2025-12-04T09:38:04.8675366Z Relative difference: 1.0 2025-12-04T09:38:04.8675370Z 2025-12-04T09:38:04.8675538Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8675923Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8675931Z 2025-12-04T09:38:04.8676143Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8676509Z FAILED [0.1295s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8676518Z 2025-12-04T09:38:04.8676610Z Expected 196608 but got 0. 2025-12-04T09:38:04.8676701Z Absolute difference: 196608 2025-12-04T09:38:04.8676792Z Relative difference: 1.0 2025-12-04T09:38:04.8676796Z 2025-12-04T09:38:04.8676963Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8677350Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8677354Z 2025-12-04T09:38:04.8677587Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8677980Z FAILED [0.1296s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8678105Z 2025-12-04T09:38:04.8678196Z Expected 196608 but got 0. 2025-12-04T09:38:04.8678288Z Absolute difference: 196608 2025-12-04T09:38:04.8678379Z Relative difference: 1.0 2025-12-04T09:38:04.8678384Z 2025-12-04T09:38:04.8678561Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8678946Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8678950Z 2025-12-04T09:38:04.8679160Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8679526Z FAILED [0.1296s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8679530Z 2025-12-04T09:38:04.8679620Z Expected 196608 but got 0. 2025-12-04T09:38:04.8679715Z Absolute difference: 196608 2025-12-04T09:38:04.8679805Z Relative difference: 1.0 2025-12-04T09:38:04.8679809Z 2025-12-04T09:38:04.8679984Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8680371Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8680376Z 2025-12-04T09:38:04.8680586Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8680954Z FAILED [0.1297s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8680958Z 2025-12-04T09:38:04.8681046Z Expected 196608 but got 0. 2025-12-04T09:38:04.8681137Z Absolute difference: 196608 2025-12-04T09:38:04.8681229Z Relative difference: 1.0 2025-12-04T09:38:04.8681233Z 2025-12-04T09:38:04.8681401Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8681790Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8681799Z 2025-12-04T09:38:04.8682003Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8682371Z FAILED [0.1302s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8682452Z 2025-12-04T09:38:04.8682546Z Expected 196608 but got 0. 2025-12-04T09:38:04.8682637Z Absolute difference: 196608 2025-12-04T09:38:04.8682729Z Relative difference: 1.0 2025-12-04T09:38:04.8682733Z 2025-12-04T09:38:04.8682901Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8683284Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8683289Z 2025-12-04T09:38:04.8683495Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8683861Z FAILED [0.1297s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8683871Z 2025-12-04T09:38:04.8683961Z Expected 196608 but got 0. 2025-12-04T09:38:04.8684051Z Absolute difference: 196608 2025-12-04T09:38:04.8684141Z Relative difference: 1.0 2025-12-04T09:38:04.8684145Z 2025-12-04T09:38:04.8684324Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8684710Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8684714Z 2025-12-04T09:38:04.8684921Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8685285Z FAILED [0.1297s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8685289Z 2025-12-04T09:38:04.8685377Z Expected 196608 but got 0. 2025-12-04T09:38:04.8685469Z Absolute difference: 196608 2025-12-04T09:38:04.8685558Z Relative difference: 1.0 2025-12-04T09:38:04.8685562Z 2025-12-04T09:38:04.8685813Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8686200Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8686204Z 2025-12-04T09:38:04.8686415Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8686782Z FAILED [0.1293s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8686786Z 2025-12-04T09:38:04.8686874Z Expected 196608 but got 0. 2025-12-04T09:38:04.8686963Z Absolute difference: 196608 2025-12-04T09:38:04.8687055Z Relative difference: 1.0 2025-12-04T09:38:04.8687058Z 2025-12-04T09:38:04.8687226Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8687612Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8687624Z 2025-12-04T09:38:04.8687830Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8688620Z FAILED [0.1298s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8688634Z 2025-12-04T09:38:04.8688732Z Expected 196608 but got 0. 2025-12-04T09:38:04.8688823Z Absolute difference: 196608 2025-12-04T09:38:04.8688916Z Relative difference: 1.0 2025-12-04T09:38:04.8688920Z 2025-12-04T09:38:04.8689089Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8689476Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8689480Z 2025-12-04T09:38:04.8689690Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8690058Z FAILED [0.1299s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8690067Z 2025-12-04T09:38:04.8690160Z Expected 196608 but got 0. 2025-12-04T09:38:04.8690251Z Absolute difference: 196608 2025-12-04T09:38:04.8690339Z Relative difference: 1.0 2025-12-04T09:38:04.8690343Z 2025-12-04T09:38:04.8690662Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8691054Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8691059Z 2025-12-04T09:38:04.8691270Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8691638Z FAILED [0.1298s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8691642Z 2025-12-04T09:38:04.8691728Z Expected 196608 but got 0. 2025-12-04T09:38:04.8691821Z Absolute difference: 196608 2025-12-04T09:38:04.8691909Z Relative difference: 1.0 2025-12-04T09:38:04.8691913Z 2025-12-04T09:38:04.8692088Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8692476Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8692480Z 2025-12-04T09:38:04.8692692Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8693065Z FAILED [0.1304s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8693069Z 2025-12-04T09:38:04.8693159Z Expected 196608 but got 0. 2025-12-04T09:38:04.8693251Z Absolute difference: 196608 2025-12-04T09:38:04.8693342Z Relative difference: 1.0 2025-12-04T09:38:04.8693346Z 2025-12-04T09:38:04.8693516Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8693903Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8694040Z 2025-12-04T09:38:04.8694248Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8694617Z FAILED [0.1318s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8694626Z 2025-12-04T09:38:04.8694719Z Expected 196608 but got 0. 2025-12-04T09:38:04.8694810Z Absolute difference: 196608 2025-12-04T09:38:04.8694900Z Relative difference: 1.0 2025-12-04T09:38:04.8694904Z 2025-12-04T09:38:04.8695073Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8695456Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8695460Z 2025-12-04T09:38:04.8695667Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8696032Z FAILED [0.1303s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8696042Z 2025-12-04T09:38:04.8696131Z Expected 196608 but got 0. 2025-12-04T09:38:04.8696221Z Absolute difference: 196608 2025-12-04T09:38:04.8696308Z Relative difference: 1.0 2025-12-04T09:38:04.8696312Z 2025-12-04T09:38:04.8696488Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8696879Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8696883Z 2025-12-04T09:38:04.8697091Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8697458Z FAILED [0.1306s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8697462Z 2025-12-04T09:38:04.8697551Z Expected 196608 but got 0. 2025-12-04T09:38:04.8697646Z Absolute difference: 196608 2025-12-04T09:38:04.8697735Z Relative difference: 1.0 2025-12-04T09:38:04.8697739Z 2025-12-04T09:38:04.8697910Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8698297Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8698301Z 2025-12-04T09:38:04.8698587Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8698957Z FAILED [0.1299s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8698961Z 2025-12-04T09:38:04.8699051Z Expected 196608 but got 0. 2025-12-04T09:38:04.8699141Z Absolute difference: 196608 2025-12-04T09:38:04.8699236Z Relative difference: 1.0 2025-12-04T09:38:04.8699240Z 2025-12-04T09:38:04.8699407Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8699797Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8699805Z 2025-12-04T09:38:04.8700008Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8700373Z FAILED [0.1299s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8700380Z 2025-12-04T09:38:04.8700471Z Expected 196608 but got 0. 2025-12-04T09:38:04.8700563Z Absolute difference: 196608 2025-12-04T09:38:04.8700653Z Relative difference: 1.0 2025-12-04T09:38:04.8700656Z 2025-12-04T09:38:04.8700824Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8701209Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8701213Z 2025-12-04T09:38:04.8701423Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8701791Z FAILED [0.1307s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8701873Z 2025-12-04T09:38:04.8701966Z Expected 196608 but got 0. 2025-12-04T09:38:04.8702056Z Absolute difference: 196608 2025-12-04T09:38:04.8702145Z Relative difference: 1.0 2025-12-04T09:38:04.8702149Z 2025-12-04T09:38:04.8702326Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8702710Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8702714Z 2025-12-04T09:38:04.8702917Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8703287Z FAILED [0.1302s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8703291Z 2025-12-04T09:38:04.8703380Z Expected 196608 but got 0. 2025-12-04T09:38:04.8703470Z Absolute difference: 196608 2025-12-04T09:38:04.8703559Z Relative difference: 1.0 2025-12-04T09:38:04.8703563Z 2025-12-04T09:38:04.8703738Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8704127Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8704131Z 2025-12-04T09:38:04.8704340Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8704709Z FAILED [0.1298s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8704713Z 2025-12-04T09:38:04.8704802Z Expected 196608 but got 0. 2025-12-04T09:38:04.8704892Z Absolute difference: 196608 2025-12-04T09:38:04.8704983Z Relative difference: 1.0 2025-12-04T09:38:04.8704987Z 2025-12-04T09:38:04.8705153Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8705540Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8705550Z 2025-12-04T09:38:04.8705756Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8706120Z FAILED [0.1312s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8706206Z 2025-12-04T09:38:04.8706299Z Expected 196608 but got 0. 2025-12-04T09:38:04.8706391Z Absolute difference: 196608 2025-12-04T09:38:04.8706482Z Relative difference: 1.0 2025-12-04T09:38:04.8706486Z 2025-12-04T09:38:04.8706655Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8707041Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8707045Z 2025-12-04T09:38:04.8707254Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8707623Z FAILED [0.1300s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8707631Z 2025-12-04T09:38:04.8707722Z Expected 196608 but got 0. 2025-12-04T09:38:04.8707811Z Absolute difference: 196608 2025-12-04T09:38:04.8707899Z Relative difference: 1.0 2025-12-04T09:38:04.8707903Z 2025-12-04T09:38:04.8708077Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8708463Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8708467Z 2025-12-04T09:38:04.8708675Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8709049Z FAILED [0.1299s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8709053Z 2025-12-04T09:38:04.8709141Z Expected 196608 but got 0. 2025-12-04T09:38:04.8709234Z Absolute difference: 196608 2025-12-04T09:38:04.8709323Z Relative difference: 1.0 2025-12-04T09:38:04.8709327Z 2025-12-04T09:38:04.8709577Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8709967Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8709971Z 2025-12-04T09:38:04.8710180Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8710557Z FAILED [0.1300s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:38:04.8710561Z 2025-12-04T09:38:04.8710649Z Expected 196608 but got 0. 2025-12-04T09:38:04.8710739Z Absolute difference: 196608 2025-12-04T09:38:04.8710829Z Relative difference: 1.0 2025-12-04T09:38:04.8710833Z 2025-12-04T09:38:04.8711002Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:04.8711391Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:38:04.8711403Z 2025-12-04T09:38:04.8711610Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:04.8711771Z ================= 51 failed, 149 passed, 150 skipped in 19.62s ================= 2025-12-04T09:38:04.8711776Z 2025-12-04T09:38:04.8712226Z FINISHED PRINTING LOG FILE of test_cuda_expandable_segments 1/1 (test/test-reports/test_cuda_expandable_segments_1.1_64f1fc77113c5f54_.log) 2025-12-04T09:38:04.8712231Z 2025-12-04T09:38:04.8712514Z Finished test_cuda_expandable_segments 1/1 ... [2025-12-04 09:38:04.728168][1550.529347234], took 0.41min 2025-12-04T09:38:04.8713144Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda_expandable_segments/test_cuda_expandable_segments-db19b41cd39a74c2.xml 2025-12-04T09:38:05.1468212Z Uploading logs for 57118183233 to S3 2025-12-04T09:38:05.1774762Z Uploading artifacts took 0.36 seconds 2025-12-04T09:38:05.1775097Z test_cuda_expandable_segments 1/1 failed! 2025-12-04T09:38:05.1779230Z Running test_public_bindings 1/1 ... [2025-12-04 09:38:05.177645][1550.978828411] 2025-12-04T09:38:05.1779786Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:38:05.1784640Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_public_bindings.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:38:05.178034] 2025-12-04T09:38:08.3988683Z 2025-12-04T09:38:08.3989507Z test_public_bindings 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_public_bindings_1.1_3a1ade81cd933b91_.log 2025-12-04T09:38:08.3990225Z Running 0 items in this shard: 2025-12-04T09:38:08.3990415Z 2025-12-04T09:38:08.3990678Z Finished test_public_bindings 1/1 ... [2025-12-04 09:38:08.398433][1554.199617194], took 0.05min 2025-12-04T09:38:08.4014487Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_public_bindings/test_public_bindings-e0f4f17c6b0c9ef0.xml 2025-12-04T09:38:08.4289113Z Running functorch/test_dims 1/1 ... [2025-12-04 09:38:08.428588][1554.229773469] 2025-12-04T09:38:08.4289544Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:38:08.4292861Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_dims.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:38:08.428933] 2025-12-04T09:38:39.6484595Z 2025-12-04T09:38:39.6485373Z PRINTING LOG FILE of functorch/test_dims 1/1 (test/test-reports/functorch.test_dims_1.1_ad0c67c59f26e65c_.log) 2025-12-04T09:38:39.6486351Z Test results will be stored in test-reports/python-pytest/functorch.test_dims/functorch.test_dims-d99e17065e1c8914.xml 2025-12-04T09:38:39.6487189Z ============================= test session starts ============================== 2025-12-04T09:38:39.6488710Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T09:38:39.6489370Z cachedir: .pytest_cache 2025-12-04T09:38:39.6490091Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T09:38:39.6490933Z rootdir: /var/lib/jenkins/workspace 2025-12-04T09:38:39.6491342Z configfile: pytest.ini 2025-12-04T09:38:39.6492069Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T09:38:39.6492879Z collecting ... collected 68 items 2025-12-04T09:38:39.6493338Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T09:38:39.6517295Z Running 50 items in this shard: test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda 2025-12-04T09:38:39.6527374Z 2025-12-04T09:38:39.6527612Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [1.0804s] [ 2%] 2025-12-04T09:38:39.6528167Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T09:38:39.6528708Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.5653s] [ 2%] 2025-12-04T09:38:39.6529235Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T09:38:39.6529772Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.5352s] [ 2%] 2025-12-04T09:38:39.6530474Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0002s] [ 2%] 2025-12-04T09:38:39.6531020Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.5360s] [ 2%] 2025-12-04T09:38:39.6531558Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T09:38:39.6532097Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.5347s] [ 2%] 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2025-12-04T09:38:39.6576297Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T09:38:39.6576829Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.5374s] [ 2%] 2025-12-04T09:38:39.6577361Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T09:38:39.6577888Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.5375s] [ 2%] 2025-12-04T09:38:39.6578416Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T09:38:39.6578943Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.5362s] [ 2%] 2025-12-04T09:38:39.6579468Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T09:38:39.6580008Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.5396s] [ 2%] 2025-12-04T09:38:39.6580540Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T09:38:39.6581079Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.5374s] [ 2%] 2025-12-04T09:38:39.6581609Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0005s] [ 2%] 2025-12-04T09:38:39.6581927Z 2025-12-04T09:38:39.6582170Z ==================================== ERRORS ==================================== 2025-12-04T09:38:39.6582595Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.6582995Z Traceback (most recent call last): 2025-12-04T09:38:39.6583459Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.6583926Z import refcycle 2025-12-04T09:38:39.6584204Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.6584614Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6585538Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6586456Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6587295Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6588455Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.6588904Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.6589307Z Traceback (most recent call last): 2025-12-04T09:38:39.6589761Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.6590224Z import refcycle 2025-12-04T09:38:39.6590508Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.6590914Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6591793Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6592765Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6593603Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6594425Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.6594841Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6595703Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6596538Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6596973Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.6597377Z Traceback (most recent call last): 2025-12-04T09:38:39.6597834Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.6598355Z import refcycle 2025-12-04T09:38:39.6598634Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.6599048Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6599914Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6600743Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6601572Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6602400Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.6602816Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6603665Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6604504Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6605083Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.6605486Z Traceback (most recent call last): 2025-12-04T09:38:39.6605939Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.6606453Z import refcycle 2025-12-04T09:38:39.6606727Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.6607129Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6607992Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6608826Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6609667Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6610493Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.6610919Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6611791Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6612619Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6613060Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.6613456Z Traceback (most recent call last): 2025-12-04T09:38:39.6613911Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.6614369Z import refcycle 2025-12-04T09:38:39.6614729Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.6615281Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6616150Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6617090Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6617930Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6618755Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.6619176Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6620036Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6620867Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6621320Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.6621736Z Traceback (most recent call last): 2025-12-04T09:38:39.6622204Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.6622671Z import refcycle 2025-12-04T09:38:39.6622946Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.6623356Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6624207Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6625044Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6625889Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6626717Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.6627215Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6628075Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6628909Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6629348Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.6629744Z Traceback (most recent call last): 2025-12-04T09:38:39.6630197Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.6630668Z import refcycle 2025-12-04T09:38:39.6630936Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.6631350Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6632219Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6633064Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6633889Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6634714Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.6635132Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6635993Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6636871Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6637396Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.6637799Z Traceback (most recent call last): 2025-12-04T09:38:39.6638337Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.6638801Z import refcycle 2025-12-04T09:38:39.6639077Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.6639481Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6640340Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6641173Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6642006Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6642846Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.6643259Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6644128Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6644962Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6645396Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.6645798Z Traceback (most recent call last): 2025-12-04T09:38:39.6646260Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.6646719Z import refcycle 2025-12-04T09:38:39.6646990Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.6647406Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6648272Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6649100Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6650025Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6650856Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.6651622Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6652474Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6653306Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6653743Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.6654152Z Traceback (most recent call last): 2025-12-04T09:38:39.6654603Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.6655059Z import refcycle 2025-12-04T09:38:39.6655340Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.6655739Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6656597Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6657429Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6658262Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6659075Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.6659490Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6660468Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6661302Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6661732Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.6662126Z Traceback (most recent call last): 2025-12-04T09:38:39.6662581Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.6663031Z import refcycle 2025-12-04T09:38:39.6663301Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.6663704Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6664570Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6665406Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6666244Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6667070Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.6667491Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6668342Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6669173Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6669616Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.6670016Z Traceback (most recent call last): 2025-12-04T09:38:39.6670468Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.6670936Z import refcycle 2025-12-04T09:38:39.6671211Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.6672389Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6673267Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6674101Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6674932Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6675755Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.6676173Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6677036Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6677872Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6678386Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.6678797Z Traceback (most recent call last): 2025-12-04T09:38:39.6679263Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.6679719Z import refcycle 2025-12-04T09:38:39.6679993Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.6680400Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6681266Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6682103Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6683029Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6683867Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.6684278Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6685151Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6685991Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6686445Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.6686845Z Traceback (most recent call last): 2025-12-04T09:38:39.6687300Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.6687777Z import refcycle 2025-12-04T09:38:39.6688051Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.6688784Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6689667Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6690502Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6691337Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6692155Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.6692570Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6693438Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6694275Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6694723Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.6695274Z Traceback (most recent call last): 2025-12-04T09:38:39.6695726Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.6696191Z import refcycle 2025-12-04T09:38:39.6696492Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.6696922Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6697782Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6698621Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6699461Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6700290Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.6700709Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6701575Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6702407Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6702844Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.6703249Z Traceback (most recent call last): 2025-12-04T09:38:39.6703709Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.6704176Z import refcycle 2025-12-04T09:38:39.6704446Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.6704973Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6705842Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6706670Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6707503Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6708334Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.6708756Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6709613Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6710451Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6710897Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.6711306Z Traceback (most recent call last): 2025-12-04T09:38:39.6711778Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.6712261Z import refcycle 2025-12-04T09:38:39.6712553Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.6712967Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6713835Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6714673Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6715518Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6716358Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.6716796Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6717758Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6718668Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6719115Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.6719531Z Traceback (most recent call last): 2025-12-04T09:38:39.6720004Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.6720464Z import refcycle 2025-12-04T09:38:39.6720751Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.6721175Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6722066Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6722902Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6723762Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6724600Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.6725026Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6725883Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6726722Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6727184Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.6727750Z Traceback (most recent call last): 2025-12-04T09:38:39.6728325Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.6728844Z import refcycle 2025-12-04T09:38:39.6729530Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.6730028Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6731052Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6731975Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6732896Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6733888Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.6734435Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6735357Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6736339Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6747355Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.6747802Z Traceback (most recent call last): 2025-12-04T09:38:39.6748259Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.6748710Z import refcycle 2025-12-04T09:38:39.6748975Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.6749388Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6750262Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6751108Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6752054Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6752878Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.6753286Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6754138Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6754957Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6755395Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.6755796Z Traceback (most recent call last): 2025-12-04T09:38:39.6756258Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.6756777Z import refcycle 2025-12-04T09:38:39.6757049Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.6757467Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6758397Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6759237Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6760090Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6760927Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.6761354Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6762304Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6763135Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6763578Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.6763984Z Traceback (most recent call last): 2025-12-04T09:38:39.6764432Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.6764907Z import refcycle 2025-12-04T09:38:39.6765185Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.6765588Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6766452Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6767291Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6768134Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6768966Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.6769394Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6770245Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6771078Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6771515Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.6771922Z Traceback (most recent call last): 2025-12-04T09:38:39.6772390Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.6772853Z import refcycle 2025-12-04T09:38:39.6773126Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.6773537Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6774501Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6775323Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6776174Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6777043Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.6777460Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6778337Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6779190Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6779640Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.6780053Z Traceback (most recent call last): 2025-12-04T09:38:39.6780516Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.6780970Z import refcycle 2025-12-04T09:38:39.6781238Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.6781645Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6782520Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6783366Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6784194Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6785131Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.6785561Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6786431Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6787310Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6787765Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.6788345Z Traceback (most recent call last): 2025-12-04T09:38:39.6788810Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.6789265Z import refcycle 2025-12-04T09:38:39.6789544Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.6789961Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6790832Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6791677Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6792529Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6793349Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.6793769Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6794629Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6795466Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6795905Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.6796309Z Traceback (most recent call last): 2025-12-04T09:38:39.6796908Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.6797374Z import refcycle 2025-12-04T09:38:39.6797641Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.6798087Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6798950Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6799776Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6800606Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6801444Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.6801865Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6802722Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6803553Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6804007Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.6804413Z Traceback (most recent call last): 2025-12-04T09:38:39.6804863Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.6805329Z import refcycle 2025-12-04T09:38:39.6805624Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.6806033Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6807014Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6807874Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6808718Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6809542Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.6809970Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6810843Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6811696Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6812147Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.6812573Z Traceback (most recent call last): 2025-12-04T09:38:39.6813040Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.6813505Z import refcycle 2025-12-04T09:38:39.6813790Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.6814222Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6815112Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6815955Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6816850Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6817689Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.6818132Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6819080Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6819920Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6820361Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.6820754Z Traceback (most recent call last): 2025-12-04T09:38:39.6821221Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.6821704Z import refcycle 2025-12-04T09:38:39.6821988Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.6822403Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6823299Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6824158Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6825007Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6825851Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.6826289Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6827166Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6827998Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6828450Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.6828865Z Traceback (most recent call last): 2025-12-04T09:38:39.6829423Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.6829884Z import refcycle 2025-12-04T09:38:39.6830177Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.6830612Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6831480Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6832335Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6833187Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6834030Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.6834456Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6835339Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6836189Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6836639Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.6837039Z Traceback (most recent call last): 2025-12-04T09:38:39.6837509Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.6837970Z import refcycle 2025-12-04T09:38:39.6838279Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.6838708Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6839570Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6840416Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6841242Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6842153Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.6842573Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6843447Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6844284Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6844745Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.6845169Z Traceback (most recent call last): 2025-12-04T09:38:39.6845618Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.6846103Z import refcycle 2025-12-04T09:38:39.6846389Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.6846816Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6847687Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6848536Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6849383Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6850214Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.6850719Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6851724Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6852670Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6853132Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.6853553Z Traceback (most recent call last): 2025-12-04T09:38:39.6854024Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.6854501Z import refcycle 2025-12-04T09:38:39.6854789Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.6855221Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6856109Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6856966Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6857817Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6858675Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.6859128Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6860005Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6860854Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6861331Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.6861749Z Traceback (most recent call last): 2025-12-04T09:38:39.6862225Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.6862707Z import refcycle 2025-12-04T09:38:39.6863006Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.6863446Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6864435Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6865289Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6866156Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6867007Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.6867445Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6868320Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6869184Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6869659Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.6870093Z Traceback (most recent call last): 2025-12-04T09:38:39.6870571Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.6871055Z import refcycle 2025-12-04T09:38:39.6871356Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.6871779Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6872666Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6873531Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6874395Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6875348Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.6875789Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6876683Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6877543Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6878003Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.6878477Z Traceback (most recent call last): 2025-12-04T09:38:39.6878953Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.6879428Z import refcycle 2025-12-04T09:38:39.6879721Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.6880163Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6881064Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6881930Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6882810Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6883665Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.6884103Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6884995Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6885868Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6886333Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.6886762Z Traceback (most recent call last): 2025-12-04T09:38:39.6887245Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.6887812Z import refcycle 2025-12-04T09:38:39.6888110Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.6888752Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6889644Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6890510Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6891373Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6892235Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.6892700Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6893591Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6894453Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6894926Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.6895360Z Traceback (most recent call last): 2025-12-04T09:38:39.6895844Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.6896326Z import refcycle 2025-12-04T09:38:39.6896617Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.6897048Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6897936Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6898927Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6899793Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6900639Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.6901071Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6901959Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6902821Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6903288Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.6903709Z Traceback (most recent call last): 2025-12-04T09:38:39.6904199Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.6904684Z import refcycle 2025-12-04T09:38:39.6904975Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.6905419Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6906294Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6907140Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6907985Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6908846Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.6909282Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6910167Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6911147Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6911609Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.6912034Z Traceback (most recent call last): 2025-12-04T09:38:39.6912504Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.6912989Z import refcycle 2025-12-04T09:38:39.6913284Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.6913719Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6914632Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6915508Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6916384Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6917234Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.6917682Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6918618Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6919483Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6919941Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.6920363Z Traceback (most recent call last): 2025-12-04T09:38:39.6920850Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.6921429Z import refcycle 2025-12-04T09:38:39.6921720Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.6922160Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6923076Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6923944Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6924821Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6925680Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.6926133Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6927012Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6927884Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6928370Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.6928807Z Traceback (most recent call last): 2025-12-04T09:38:39.6929281Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.6929784Z import refcycle 2025-12-04T09:38:39.6930096Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.6930524Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6931426Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6932308Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6933181Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6934041Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.6934588Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6935482Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6936337Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6936803Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.6937238Z Traceback (most recent call last): 2025-12-04T09:38:39.6937726Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.6938207Z import refcycle 2025-12-04T09:38:39.6938517Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.6938973Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6939886Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6940751Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6941618Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6942475Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.6942910Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6943804Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6944744Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6945213Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.6945642Z Traceback (most recent call last): 2025-12-04T09:38:39.6946132Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.6946630Z import refcycle 2025-12-04T09:38:39.6946924Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.6947365Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6948263Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6949128Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6949987Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6950854Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.6951302Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6952205Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6953057Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6953528Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.6953962Z Traceback (most recent call last): 2025-12-04T09:38:39.6954448Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.6954944Z import refcycle 2025-12-04T09:38:39.6955245Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.6955693Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6956600Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6957572Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6958477Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6959333Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.6959783Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6960705Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6961580Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6962050Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.6962488Z Traceback (most recent call last): 2025-12-04T09:38:39.6962975Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.6963467Z import refcycle 2025-12-04T09:38:39.6963765Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.6964212Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6965126Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6965990Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6966853Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6967723Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.6968253Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6969160Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6970043Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6970527Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.6970964Z Traceback (most recent call last): 2025-12-04T09:38:39.6971446Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.6971939Z import refcycle 2025-12-04T09:38:39.6972243Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.6972677Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6973584Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6974462Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6975343Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6976188Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.6976637Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6977529Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6978395Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6978867Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.6979301Z Traceback (most recent call last): 2025-12-04T09:38:39.6979807Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.6980292Z import refcycle 2025-12-04T09:38:39.6980678Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.6981118Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6982018Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6982865Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6983733Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6984596Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.6985047Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.6997651Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.6998582Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.6999033Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.6999440Z Traceback (most recent call last): 2025-12-04T09:38:39.6999900Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.7000371Z import refcycle 2025-12-04T09:38:39.7000645Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7001066Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7001949Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7002959Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7003805Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7004652Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7005067Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7005945Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7006837Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7007284Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T09:38:39.7007689Z Traceback (most recent call last): 2025-12-04T09:38:39.7008160Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T09:38:39.7008628Z import refcycle 2025-12-04T09:38:39.7008894Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7009312Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7010191Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7011037Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7011877Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7012718Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7013132Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7014008Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7014847Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7015355Z =================================== FAILURES =================================== 2025-12-04T09:38:39.7015758Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7016171Z Traceback (most recent call last): 2025-12-04T09:38:39.7016671Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7017156Z self.attn( 2025-12-04T09:38:39.7017530Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7017984Z a_out = A(hidden_state) 2025-12-04T09:38:39.7018559Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7019180Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7019750Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7020321Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7020784Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 154, in forward 2025-12-04T09:38:39.7021304Z context_layer = (attention_probs * v).sum(key_sequence) 2025-12-04T09:38:39.7021883Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7022465Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7023078Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7023753Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7024440Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7025154Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7027247Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.59 GiB is free. Including non-PyTorch memory, this process has 13.46 GiB memory in use. Of the allocated memory 1.33 GiB is allocated by PyTorch, and 11.83 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7029181Z 2025-12-04T09:38:39.7029366Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7030049Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7030574Z 2025-12-04T09:38:39.7030807Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7031307Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7032204Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7033060Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7033906Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7034737Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7035157Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7035535Z Traceback (most recent call last): 2025-12-04T09:38:39.7036021Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7036521Z self.attn( 2025-12-04T09:38:39.7036898Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7037346Z a_out = A(hidden_state) 2025-12-04T09:38:39.7037995Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7038680Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7039247Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7039816Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7040269Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T09:38:39.7040833Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T09:38:39.7041468Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7042049Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7042672Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7043358Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7044039Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7044671Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7046745Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7048770Z 2025-12-04T09:38:39.7048952Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7049623Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7050134Z 2025-12-04T09:38:39.7050350Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7050847Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7051724Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7052580Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7053424Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7054266Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7054686Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7055565Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7056408Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7056827Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7057213Z Traceback (most recent call last): 2025-12-04T09:38:39.7057698Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7058189Z self.attn( 2025-12-04T09:38:39.7058560Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7059021Z a_out = A(hidden_state) 2025-12-04T09:38:39.7059688Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7060309Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7060878Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7061462Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7061916Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T09:38:39.7062471Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T09:38:39.7063092Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7063663Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7064282Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7064966Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7065667Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7066290Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7068434Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7070443Z 2025-12-04T09:38:39.7070620Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7071305Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7071810Z 2025-12-04T09:38:39.7072035Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7072525Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7073413Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7074253Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7075080Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7075902Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7076316Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7077225Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7078096Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7078508Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7078889Z Traceback (most recent call last): 2025-12-04T09:38:39.7079375Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7079847Z self.attn( 2025-12-04T09:38:39.7080219Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7080661Z a_out = A(hidden_state) 2025-12-04T09:38:39.7081218Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7081825Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7082479Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7083043Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7083486Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T09:38:39.7084035Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T09:38:39.7084645Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7085213Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7085812Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7086491Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7087176Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7087793Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7090639Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7092570Z 2025-12-04T09:38:39.7092758Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7093656Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7094156Z 2025-12-04T09:38:39.7094386Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7094883Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7095754Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7096592Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7097419Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7098243Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7098646Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7099511Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7100339Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7100753Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7101130Z Traceback (most recent call last): 2025-12-04T09:38:39.7101609Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7102082Z self.attn( 2025-12-04T09:38:39.7102453Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7102894Z a_out = A(hidden_state) 2025-12-04T09:38:39.7103445Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7104048Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7104601Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7105151Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7105727Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T09:38:39.7106272Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T09:38:39.7106943Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7107501Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7108092Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7108751Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7109422Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7110047Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7112054Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7113956Z 2025-12-04T09:38:39.7114127Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7114799Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7115394Z 2025-12-04T09:38:39.7115609Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7116102Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7117010Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7117839Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7118741Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7119562Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7119965Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7120825Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7121660Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7122077Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7122451Z Traceback (most recent call last): 2025-12-04T09:38:39.7122921Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7123395Z self.attn( 2025-12-04T09:38:39.7123757Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7124202Z a_out = A(hidden_state) 2025-12-04T09:38:39.7124755Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7125353Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7125904Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7126502Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7126981Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T09:38:39.7128178Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T09:38:39.7128803Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7129363Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7129968Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7130639Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7131317Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7131927Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7133964Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7135875Z 2025-12-04T09:38:39.7136052Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7136773Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7137271Z 2025-12-04T09:38:39.7137493Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7138064Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7138949Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7139780Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7140615Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7141435Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7141847Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7142709Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7143536Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7143949Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7144322Z Traceback (most recent call last): 2025-12-04T09:38:39.7144808Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7145274Z self.attn( 2025-12-04T09:38:39.7145642Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7146092Z a_out = A(hidden_state) 2025-12-04T09:38:39.7146698Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7147299Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7147854Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7148410Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7148853Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T09:38:39.7149411Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T09:38:39.7150115Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7150674Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7151269Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7151926Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7152600Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7153213Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7155221Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7157173Z 2025-12-04T09:38:39.7157344Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7158003Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7158550Z 2025-12-04T09:38:39.7158766Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7159257Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7160118Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7161039Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7161873Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7162694Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7163105Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7163964Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7164797Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7165211Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7165583Z Traceback (most recent call last): 2025-12-04T09:38:39.7166053Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7166536Z self.attn( 2025-12-04T09:38:39.7166902Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7167338Z a_out = A(hidden_state) 2025-12-04T09:38:39.7167891Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7168488Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7169042Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7169602Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7170051Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T09:38:39.7170590Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T09:38:39.7171207Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7171776Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7172492Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7173156Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7173828Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7174443Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7176497Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7178390Z 2025-12-04T09:38:39.7178574Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7179239Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7179754Z 2025-12-04T09:38:39.7179969Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7180450Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7181311Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7182223Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7183069Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7183886Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7184298Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7185163Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7185985Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7186408Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7186775Z Traceback (most recent call last): 2025-12-04T09:38:39.7187243Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7187717Z self.attn( 2025-12-04T09:38:39.7188082Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7188775Z a_out = A(hidden_state) 2025-12-04T09:38:39.7189333Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7189932Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7190481Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7191030Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7191470Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T09:38:39.7192015Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T09:38:39.7192631Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7193202Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7193816Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7194623Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7195301Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7195911Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7197956Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7199875Z 2025-12-04T09:38:39.7200058Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7200717Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7201228Z 2025-12-04T09:38:39.7201447Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7201941Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7202819Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7203652Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7204496Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7205447Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7205635Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7206218Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7206365Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7206543Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7206649Z Traceback (most recent call last): 2025-12-04T09:38:39.7206934Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7207022Z self.attn( 2025-12-04T09:38:39.7207272Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7207372Z a_out = A(hidden_state) 2025-12-04T09:38:39.7207780Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7207890Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7208240Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7208354Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7208606Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T09:38:39.7208805Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T09:38:39.7209124Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7209258Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7209633Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7209824Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7210302Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7210422Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7212214Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7212237Z 2025-12-04T09:38:39.7212411Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7212812Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7212817Z 2025-12-04T09:38:39.7213045Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7213220Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7213817Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7213965Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7214545Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7214780Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7214954Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7215544Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7215699Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7215875Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7215987Z Traceback (most recent call last): 2025-12-04T09:38:39.7216278Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7216362Z self.attn( 2025-12-04T09:38:39.7216608Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7216696Z a_out = A(hidden_state) 2025-12-04T09:38:39.7217096Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7217205Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7217561Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7217671Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7217917Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T09:38:39.7218110Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T09:38:39.7218442Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7218580Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7218949Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7219139Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7219532Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7219745Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7221557Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7221563Z 2025-12-04T09:38:39.7221754Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7222160Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7222164Z 2025-12-04T09:38:39.7222390Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7222559Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7223143Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7223302Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7223885Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7224037Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7224213Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7224896Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7225061Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7225226Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7225337Z Traceback (most recent call last): 2025-12-04T09:38:39.7225632Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7225712Z self.attn( 2025-12-04T09:38:39.7225961Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7226051Z a_out = A(hidden_state) 2025-12-04T09:38:39.7226447Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7226564Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7226929Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7227033Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7227302Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T09:38:39.7227492Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T09:38:39.7227821Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7227959Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7228323Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7228514Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7228900Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7229034Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7230938Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7230945Z 2025-12-04T09:38:39.7231129Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7231525Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7231534Z 2025-12-04T09:38:39.7231744Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7231926Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7232530Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7232686Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7233266Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7233408Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7233584Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7234162Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7234403Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7234572Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7234677Z Traceback (most recent call last): 2025-12-04T09:38:39.7234978Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7235060Z self.attn( 2025-12-04T09:38:39.7235301Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7235394Z a_out = A(hidden_state) 2025-12-04T09:38:39.7235786Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7235904Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7236272Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7236381Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7236633Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T09:38:39.7236832Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T09:38:39.7237150Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7237298Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7237679Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7237875Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7238309Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7238429Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7240331Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7240337Z 2025-12-04T09:38:39.7240514Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7240931Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7240935Z 2025-12-04T09:38:39.7241143Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7241329Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7241928Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7242075Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7242660Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7242800Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7242988Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7243567Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7243715Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7243984Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7244090Z Traceback (most recent call last): 2025-12-04T09:38:39.7244385Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7244471Z self.attn( 2025-12-04T09:38:39.7244716Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7244817Z a_out = A(hidden_state) 2025-12-04T09:38:39.7245209Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7245325Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7245684Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7245788Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7246038Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T09:38:39.7246239Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T09:38:39.7246562Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7246712Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7247080Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7247268Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7247666Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7247786Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7249691Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7249702Z 2025-12-04T09:38:39.7249874Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7250287Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7250291Z 2025-12-04T09:38:39.7250510Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7250686Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7251281Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7251435Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7252022Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7252159Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7252332Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7252930Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7253085Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7253256Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7253439Z Traceback (most recent call last): 2025-12-04T09:38:39.7253731Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7259378Z self.attn( 2025-12-04T09:38:39.7259669Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7259768Z a_out = A(hidden_state) 2025-12-04T09:38:39.7260174Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7260290Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7260649Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7260749Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7261010Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T09:38:39.7261202Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T09:38:39.7261533Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7261671Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7262053Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7262250Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7262641Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7262764Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7264707Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7264719Z 2025-12-04T09:38:39.7264893Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7265291Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7265296Z 2025-12-04T09:38:39.7265506Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7265690Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7266312Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7266489Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7267079Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7267222Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7267397Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7267977Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7268128Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7268297Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7268400Z Traceback (most recent call last): 2025-12-04T09:38:39.7268700Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7268889Z self.attn( 2025-12-04T09:38:39.7269138Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7269240Z a_out = A(hidden_state) 2025-12-04T09:38:39.7269638Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7269748Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7270113Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7270217Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7270465Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T09:38:39.7270656Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T09:38:39.7270977Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7271122Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7271490Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7271686Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7272077Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7272194Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7273990Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7274001Z 2025-12-04T09:38:39.7274256Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7274668Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7274673Z 2025-12-04T09:38:39.7274886Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7275056Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7275650Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7275799Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7276388Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7276541Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7276721Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7277307Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7277459Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7277634Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7277739Z Traceback (most recent call last): 2025-12-04T09:38:39.7278026Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7278172Z self.attn( 2025-12-04T09:38:39.7278416Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7278598Z a_out = A(hidden_state) 2025-12-04T09:38:39.7279000Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7279114Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7279465Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7279569Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7279824Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T09:38:39.7280018Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T09:38:39.7280336Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7280480Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7280851Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7281042Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7281443Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7281561Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7283353Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7283363Z 2025-12-04T09:38:39.7283533Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7284013Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7284022Z 2025-12-04T09:38:39.7284236Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7284408Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7285007Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7285156Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7285736Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7285888Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7286063Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7286652Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7286800Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7286966Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7287070Z Traceback (most recent call last): 2025-12-04T09:38:39.7287356Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7287445Z self.attn( 2025-12-04T09:38:39.7287686Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7287774Z a_out = A(hidden_state) 2025-12-04T09:38:39.7288449Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7288720Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7289080Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7289185Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7289433Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T09:38:39.7289634Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T09:38:39.7289953Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7290091Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7290463Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7290647Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7291039Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7291169Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7292992Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7293002Z 2025-12-04T09:38:39.7293178Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7293579Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7293584Z 2025-12-04T09:38:39.7293913Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7294090Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7294684Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7294840Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7295417Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7295560Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7295733Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7296318Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7296473Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7296639Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7296750Z Traceback (most recent call last): 2025-12-04T09:38:39.7297036Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7297116Z self.attn( 2025-12-04T09:38:39.7297362Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7297449Z a_out = A(hidden_state) 2025-12-04T09:38:39.7297837Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7297951Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7298375Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7298481Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7298732Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T09:38:39.7298919Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T09:38:39.7299243Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7299373Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7299746Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7299930Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7300320Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7300461Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7302269Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7302275Z 2025-12-04T09:38:39.7302448Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7302842Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7302853Z 2025-12-04T09:38:39.7303069Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7303242Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7303930Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7304081Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7304657Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7304796Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7304970Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7305540Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7305698Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7305870Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7305972Z Traceback (most recent call last): 2025-12-04T09:38:39.7306259Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7306337Z self.attn( 2025-12-04T09:38:39.7306603Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7306701Z a_out = A(hidden_state) 2025-12-04T09:38:39.7307106Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7307214Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7307562Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7307740Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7307988Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T09:38:39.7308181Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T09:38:39.7308498Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7308636Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7309007Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7309193Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7309580Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7309696Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7311512Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7311518Z 2025-12-04T09:38:39.7311696Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7312089Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7312094Z 2025-12-04T09:38:39.7312303Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7312481Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7313145Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7313296Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7313873Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7314011Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7314185Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7314755Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7314903Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7315079Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7315185Z Traceback (most recent call last): 2025-12-04T09:38:39.7315481Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7315562Z self.attn( 2025-12-04T09:38:39.7315805Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7315901Z a_out = A(hidden_state) 2025-12-04T09:38:39.7316316Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7316433Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7316804Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7316910Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7317160Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T09:38:39.7317434Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T09:38:39.7317755Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7317894Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7318335Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7318523Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7318922Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7319042Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7320845Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7320856Z 2025-12-04T09:38:39.7321027Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7321414Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7321418Z 2025-12-04T09:38:39.7321626Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7321793Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7322386Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7322541Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7323206Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7323347Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7323519Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7324100Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7324246Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7324416Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7324524Z Traceback (most recent call last): 2025-12-04T09:38:39.7324810Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7324890Z self.attn( 2025-12-04T09:38:39.7325141Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7325229Z a_out = A(hidden_state) 2025-12-04T09:38:39.7325615Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7325719Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7326078Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7326177Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7326419Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T09:38:39.7326616Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T09:38:39.7327007Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7327142Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7327516Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7327702Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7328091Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7328205Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7330019Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7330030Z 2025-12-04T09:38:39.7330197Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7330593Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7330603Z 2025-12-04T09:38:39.7330817Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7330986Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7331578Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7331728Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7332377Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7332523Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7332694Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7333279Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7333423Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7333587Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7333694Z Traceback (most recent call last): 2025-12-04T09:38:39.7333977Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7334056Z self.attn( 2025-12-04T09:38:39.7334301Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7334389Z a_out = A(hidden_state) 2025-12-04T09:38:39.7334790Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7334893Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7335241Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7335343Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7335590Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T09:38:39.7335779Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T09:38:39.7336094Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7336306Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7336673Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7336859Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7337249Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7337368Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7339158Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7339168Z 2025-12-04T09:38:39.7339341Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7339742Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7339747Z 2025-12-04T09:38:39.7339960Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7340128Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7340713Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7340862Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7341435Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7341588Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7341860Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7342438Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7342592Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7342759Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7342861Z Traceback (most recent call last): 2025-12-04T09:38:39.7343144Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7343221Z self.attn( 2025-12-04T09:38:39.7343474Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7343570Z a_out = A(hidden_state) 2025-12-04T09:38:39.7343955Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7344067Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7344414Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7344515Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7344758Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T09:38:39.7344946Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T09:38:39.7345269Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7345405Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7345768Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7346032Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7346422Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7346539Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7348325Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7348335Z 2025-12-04T09:38:39.7348505Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7348905Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7348910Z 2025-12-04T09:38:39.7349120Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7349293Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7349877Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7350026Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7350600Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7350743Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7350917Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7351567Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7351716Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7351881Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7351982Z Traceback (most recent call last): 2025-12-04T09:38:39.7352269Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7352344Z self.attn( 2025-12-04T09:38:39.7352585Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7352676Z a_out = A(hidden_state) 2025-12-04T09:38:39.7353062Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7353177Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7353526Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7353626Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7353872Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T09:38:39.7354057Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T09:38:39.7354375Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7354512Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7354878Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7355064Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7355528Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7355649Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7357452Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7357458Z 2025-12-04T09:38:39.7357628Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7358026Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7358087Z 2025-12-04T09:38:39.7358297Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7358474Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7359060Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7359207Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7359784Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7359923Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7360096Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7360674Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7360901Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7361073Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7361175Z Traceback (most recent call last): 2025-12-04T09:38:39.7361466Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7361543Z self.attn( 2025-12-04T09:38:39.7361788Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7361881Z a_out = A(hidden_state) 2025-12-04T09:38:39.7362268Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7362371Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7362726Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7362824Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7363076Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T09:38:39.7363264Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T09:38:39.7363580Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7363721Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7364087Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7364269Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7364658Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7364881Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7366735Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7366740Z 2025-12-04T09:38:39.7366911Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7367312Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7367322Z 2025-12-04T09:38:39.7367530Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7367698Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7368292Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7368441Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7369020Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7369161Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7369331Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7369908Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7370059Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7370232Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7370412Z Traceback (most recent call last): 2025-12-04T09:38:39.7370698Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7370780Z self.attn( 2025-12-04T09:38:39.7371021Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7371109Z a_out = A(hidden_state) 2025-12-04T09:38:39.7371499Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7371607Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7371958Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7372074Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7372318Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T09:38:39.7372512Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T09:38:39.7372834Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7372968Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7373331Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7373521Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7373905Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7374026Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7375933Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7375938Z 2025-12-04T09:38:39.7376115Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7376512Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7376516Z 2025-12-04T09:38:39.7376723Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7376899Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7377496Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7377649Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7378225Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7378366Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7378544Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7379115Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7379270Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7379439Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7379540Z Traceback (most recent call last): 2025-12-04T09:38:39.7379908Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7379988Z self.attn( 2025-12-04T09:38:39.7380230Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7380323Z a_out = A(hidden_state) 2025-12-04T09:38:39.7380710Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7380821Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7381168Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7381268Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7381519Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T09:38:39.7381709Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T09:38:39.7382037Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7382173Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7382537Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7382725Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7383112Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7383228Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7385036Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7385119Z 2025-12-04T09:38:39.7385290Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7385696Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7385700Z 2025-12-04T09:38:39.7385907Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7386086Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7386722Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7386873Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7387459Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7387599Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7387771Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7388610Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7388762Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7388937Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7389046Z Traceback (most recent call last): 2025-12-04T09:38:39.7389335Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7389416Z self.attn( 2025-12-04T09:38:39.7389797Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7389894Z a_out = A(hidden_state) 2025-12-04T09:38:39.7390284Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7390389Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7390747Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7390846Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7391093Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T09:38:39.7391283Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T09:38:39.7391605Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7391743Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7392113Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7392297Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7392689Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7392804Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7394634Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7394751Z 2025-12-04T09:38:39.7394923Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7395323Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7395327Z 2025-12-04T09:38:39.7395536Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7395709Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7396305Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7396461Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7397041Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7397186Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7397359Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7397937Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7398137Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7398312Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7398414Z Traceback (most recent call last): 2025-12-04T09:38:39.7398699Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7398787Z self.attn( 2025-12-04T09:38:39.7399029Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7399119Z a_out = A(hidden_state) 2025-12-04T09:38:39.7399594Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7399701Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7400055Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7400156Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7400399Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T09:38:39.7400594Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T09:38:39.7400911Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7401050Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7401425Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7401616Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7402008Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7402123Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7403922Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7404004Z 2025-12-04T09:38:39.7404174Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7404576Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7404587Z 2025-12-04T09:38:39.7404797Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7404965Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7405559Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7405708Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7406283Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7406435Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7406609Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7407187Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7407333Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7407498Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7407605Z Traceback (most recent call last): 2025-12-04T09:38:39.7407891Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7407975Z self.attn( 2025-12-04T09:38:39.7408218Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7408312Z a_out = A(hidden_state) 2025-12-04T09:38:39.7408705Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7408885Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7409237Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7409342Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7409589Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T09:38:39.7409780Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T09:38:39.7410097Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7410229Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7410604Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7410792Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7411182Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7411303Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7413096Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7413213Z 2025-12-04T09:38:39.7413386Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7413772Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7413784Z 2025-12-04T09:38:39.7413999Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7414168Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7414755Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7414908Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7415485Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7415630Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7415806Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7416385Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7416537Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7416703Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7416809Z Traceback (most recent call last): 2025-12-04T09:38:39.7417092Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7417172Z self.attn( 2025-12-04T09:38:39.7417419Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7417509Z a_out = A(hidden_state) 2025-12-04T09:38:39.7417897Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7418012Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7418440Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7418547Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7418792Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T09:38:39.7418978Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T09:38:39.7419302Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7419435Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7419799Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7419991Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7420382Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7420503Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7422297Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7422303Z 2025-12-04T09:38:39.7422479Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7422880Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7422959Z 2025-12-04T09:38:39.7423173Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7423356Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7423943Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7424097Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7424676Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7424821Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7424996Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7425576Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7425730Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7425897Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7425997Z Traceback (most recent call last): 2025-12-04T09:38:39.7426289Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7426368Z self.attn( 2025-12-04T09:38:39.7426642Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7426753Z a_out = A(hidden_state) 2025-12-04T09:38:39.7427145Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7427254Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7427605Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7427707Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7428039Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T09:38:39.7428229Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T09:38:39.7428553Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7428686Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7429055Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7429249Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7429636Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7429761Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7431569Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7431575Z 2025-12-04T09:38:39.7431746Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7432153Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7432232Z 2025-12-04T09:38:39.7432448Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7432625Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7433217Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7433366Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7433945Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7434085Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7434261Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7434839Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7434992Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7435163Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7435269Z Traceback (most recent call last): 2025-12-04T09:38:39.7435564Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7435645Z self.attn( 2025-12-04T09:38:39.7435887Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7435981Z a_out = A(hidden_state) 2025-12-04T09:38:39.7436371Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7436478Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7436836Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7436943Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7437198Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T09:38:39.7437467Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T09:38:39.7437786Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7437924Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7438368Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7438554Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7438945Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7439062Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7440862Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7440871Z 2025-12-04T09:38:39.7441041Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7441443Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7441447Z 2025-12-04T09:38:39.7441658Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7441828Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7442500Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7442653Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7443237Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7443376Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7443548Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7444129Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7444274Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7444450Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7444554Z Traceback (most recent call last): 2025-12-04T09:38:39.7444843Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7444930Z self.attn( 2025-12-04T09:38:39.7445173Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7445262Z a_out = A(hidden_state) 2025-12-04T09:38:39.7445655Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7445761Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7446126Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7446249Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7446518Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T09:38:39.7446717Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T09:38:39.7447034Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7447275Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7447648Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7447831Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7448222Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7448340Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7450144Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7450152Z 2025-12-04T09:38:39.7450325Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7450723Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7450736Z 2025-12-04T09:38:39.7450951Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7451124Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7451718Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7451947Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7452527Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7452673Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7452844Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7453426Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7453572Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7453738Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7453845Z Traceback (most recent call last): 2025-12-04T09:38:39.7454135Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7454218Z self.attn( 2025-12-04T09:38:39.7454466Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7454555Z a_out = A(hidden_state) 2025-12-04T09:38:39.7454949Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7455055Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7455405Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7455511Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7455755Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T09:38:39.7455946Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T09:38:39.7456271Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7456404Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7456851Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7457038Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7457425Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7457553Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7459347Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7459366Z 2025-12-04T09:38:39.7459538Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7459941Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7459946Z 2025-12-04T09:38:39.7460164Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7460334Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7460927Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7461084Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7461739Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7461890Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7462061Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7462635Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7462787Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7462953Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7463064Z Traceback (most recent call last): 2025-12-04T09:38:39.7463349Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7463437Z self.attn( 2025-12-04T09:38:39.7463690Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7463780Z a_out = A(hidden_state) 2025-12-04T09:38:39.7464176Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7464287Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7464635Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7464739Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7464985Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T09:38:39.7465173Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T09:38:39.7465500Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7465642Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7466008Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7466278Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7466667Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7466790Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7468587Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7468596Z 2025-12-04T09:38:39.7468773Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7469177Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7469182Z 2025-12-04T09:38:39.7469401Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7469571Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7470160Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7470314Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7470892Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7471115Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7471298Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7471872Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7472033Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7472199Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7472301Z Traceback (most recent call last): 2025-12-04T09:38:39.7472595Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7472673Z self.attn( 2025-12-04T09:38:39.7472925Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7473021Z a_out = A(hidden_state) 2025-12-04T09:38:39.7473409Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7473523Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7473874Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7473974Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7474231Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T09:38:39.7474419Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T09:38:39.7474744Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7474879Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7475244Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7475437Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7475921Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7476043Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7477848Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7477858Z 2025-12-04T09:38:39.7478029Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7478484Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7478493Z 2025-12-04T09:38:39.7478705Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7478884Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7479474Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7479623Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7480211Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7480352Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7480610Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7481189Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7481338Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7481511Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7481616Z Traceback (most recent call last): 2025-12-04T09:38:39.7481908Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7481988Z self.attn( 2025-12-04T09:38:39.7482233Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7482328Z a_out = A(hidden_state) 2025-12-04T09:38:39.7482719Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7482829Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7483187Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7483289Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7483545Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T09:38:39.7483731Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T09:38:39.7484050Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7484190Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7484557Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7490044Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7490494Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7490629Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7492663Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7492671Z 2025-12-04T09:38:39.7492864Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7493262Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7493274Z 2025-12-04T09:38:39.7493503Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7493687Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7494288Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7494449Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7495029Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7495183Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7495361Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7496056Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7496221Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7496391Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7496499Z Traceback (most recent call last): 2025-12-04T09:38:39.7496801Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7496884Z self.attn( 2025-12-04T09:38:39.7497146Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7497242Z a_out = A(hidden_state) 2025-12-04T09:38:39.7497636Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7497760Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7498119Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7498226Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7498494Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T09:38:39.7498704Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T09:38:39.7499126Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7499283Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7499728Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7499929Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7500376Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7500513Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7502495Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7502505Z 2025-12-04T09:38:39.7502724Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7503129Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7503138Z 2025-12-04T09:38:39.7503401Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7503588Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7504259Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7504420Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7505000Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7505142Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7505332Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7505909Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7506149Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7506324Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7506434Z Traceback (most recent call last): 2025-12-04T09:38:39.7506739Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7506819Z self.attn( 2025-12-04T09:38:39.7507064Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7507168Z a_out = A(hidden_state) 2025-12-04T09:38:39.7507562Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7507680Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7508036Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7508145Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7508407Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T09:38:39.7508603Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T09:38:39.7508932Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7509079Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7509447Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7509644Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7510036Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7510158Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7512038Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7512049Z 2025-12-04T09:38:39.7512221Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7512633Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7512637Z 2025-12-04T09:38:39.7512851Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7513033Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7513628Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7513781Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7514367Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7514511Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7514694Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7515271Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7515421Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7515676Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7515782Z Traceback (most recent call last): 2025-12-04T09:38:39.7516076Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7516161Z self.attn( 2025-12-04T09:38:39.7516407Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7516509Z a_out = A(hidden_state) 2025-12-04T09:38:39.7516897Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7517009Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7517373Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7517476Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7517727Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T09:38:39.7517931Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T09:38:39.7518325Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7518478Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7518846Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7519037Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7519440Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7519558Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7521447Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7521459Z 2025-12-04T09:38:39.7521633Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7522038Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7522043Z 2025-12-04T09:38:39.7522255Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7522434Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7523033Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7523190Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7523785Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7523927Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7524100Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7524696Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7524852Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7525029Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7525136Z Traceback (most recent call last): 2025-12-04T09:38:39.7525588Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7525681Z self.attn( 2025-12-04T09:38:39.7525933Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7526024Z a_out = A(hidden_state) 2025-12-04T09:38:39.7526427Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7526533Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7526891Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7526996Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7527264Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T09:38:39.7527521Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T09:38:39.7527853Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7527989Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7528368Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7528554Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7528956Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7529074Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7531056Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7531176Z 2025-12-04T09:38:39.7531358Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7531801Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7531807Z 2025-12-04T09:38:39.7532025Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7532198Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7532798Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7532951Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7533540Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7533697Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7533874Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7534503Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7534657Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7534826Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7534947Z Traceback (most recent call last): 2025-12-04T09:38:39.7535236Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7535407Z self.attn( 2025-12-04T09:38:39.7535664Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7535754Z a_out = A(hidden_state) 2025-12-04T09:38:39.7536158Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7536265Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7536617Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7536725Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7536969Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T09:38:39.7537161Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T09:38:39.7537486Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7537622Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7537999Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7538187Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7538578Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7538704Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7540489Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7540498Z 2025-12-04T09:38:39.7540682Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7541162Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7541167Z 2025-12-04T09:38:39.7541390Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7541561Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7542151Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7542309Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7542886Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7543039Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7543215Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7543791Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7543944Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7544119Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7544226Z Traceback (most recent call last): 2025-12-04T09:38:39.7544519Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7544600Z self.attn( 2025-12-04T09:38:39.7544852Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7545021Z a_out = A(hidden_state) 2025-12-04T09:38:39.7545413Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7545528Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7545878Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7545982Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7546236Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T09:38:39.7546425Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T09:38:39.7546753Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7546888Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7547256Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7547456Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7547847Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7547975Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7549779Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7549785Z 2025-12-04T09:38:39.7549969Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7550368Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7550450Z 2025-12-04T09:38:39.7550661Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7550841Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7551431Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7551590Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7552167Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7552312Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7552496Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7553079Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7553237Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7553406Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7553509Z Traceback (most recent call last): 2025-12-04T09:38:39.7553807Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7553888Z self.attn( 2025-12-04T09:38:39.7554132Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7554233Z a_out = A(hidden_state) 2025-12-04T09:38:39.7554622Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7554807Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7555168Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7555274Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7555527Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T09:38:39.7555716Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T09:38:39.7556032Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7556174Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7556542Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7556735Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7557132Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7557250Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7559166Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7559172Z 2025-12-04T09:38:39.7559342Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7559742Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7559752Z 2025-12-04T09:38:39.7559961Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7560222Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7560819Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7560970Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7561556Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7561702Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7561911Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7562724Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7562925Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7563174Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7563321Z Traceback (most recent call last): 2025-12-04T09:38:39.7563716Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7563840Z self.attn( 2025-12-04T09:38:39.7564175Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7564305Z a_out = A(hidden_state) 2025-12-04T09:38:39.7564837Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7564982Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7565604Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7565743Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7566089Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T09:38:39.7566355Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T09:38:39.7566798Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7566994Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7567499Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7567731Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7568131Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7568255Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7570083Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7570088Z 2025-12-04T09:38:39.7570260Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7570659Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7570663Z 2025-12-04T09:38:39.7570879Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7571054Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7571743Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7571894Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7572485Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7572630Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7572806Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7573400Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7573552Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7573724Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7573847Z Traceback (most recent call last): 2025-12-04T09:38:39.7574134Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7574218Z self.attn( 2025-12-04T09:38:39.7574462Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7574552Z a_out = A(hidden_state) 2025-12-04T09:38:39.7574955Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7575061Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7575417Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7575605Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7575854Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T09:38:39.7576052Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T09:38:39.7576377Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7576516Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7576890Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7577080Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7577481Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7577598Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7579410Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7579428Z 2025-12-04T09:38:39.7579629Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7580046Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7580051Z 2025-12-04T09:38:39.7580270Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7580442Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7581053Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7581293Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7581878Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7582028Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7582199Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7582790Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7582936Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7583108Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7583217Z Traceback (most recent call last): 2025-12-04T09:38:39.7583506Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7583592Z self.attn( 2025-12-04T09:38:39.7583844Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7583938Z a_out = A(hidden_state) 2025-12-04T09:38:39.7584337Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7584443Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7584796Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7584901Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7585147Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T09:38:39.7585414Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T09:38:39.7585738Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7585879Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7586255Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7586444Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7586832Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7586964Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7589329Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7589344Z 2025-12-04T09:38:39.7589531Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7589922Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7589926Z 2025-12-04T09:38:39.7590142Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7590316Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7590911Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7591070Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7591808Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7591959Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7592132Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7592706Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7592864Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7593031Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T09:38:39.7593135Z Traceback (most recent call last): 2025-12-04T09:38:39.7593436Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T09:38:39.7593519Z self.attn( 2025-12-04T09:38:39.7593774Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T09:38:39.7593864Z a_out = A(hidden_state) 2025-12-04T09:38:39.7594252Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:38:39.7594364Z return self._call_impl(*args, **kwargs) 2025-12-04T09:38:39.7594713Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:38:39.7594815Z return forward_call(*args, **kwargs) 2025-12-04T09:38:39.7595068Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T09:38:39.7595256Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T09:38:39.7595582Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T09:38:39.7595825Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T09:38:39.7596197Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T09:38:39.7596390Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T09:38:39.7596776Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T09:38:39.7596899Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T09:38:39.7598794Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7598811Z 2025-12-04T09:38:39.7598991Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7599380Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7599384Z 2025-12-04T09:38:39.7599594Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7599769Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7600356Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7600510Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7601094Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7601346Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T09:38:39.7601525Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:38:39.7602099Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T09:38:39.7602251Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T09:38:39.7602757Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_dims/functorch.test_dims-d99e17065e1c8914.xml - 2025-12-04T09:38:39.7602898Z =========================== short test summary info ============================ 2025-12-04T09:38:39.7604922Z FAILED [1.0804s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.59 GiB is free. Including non-PyTorch memory, this process has 13.46 GiB memory in use. Of the allocated memory 1.33 GiB is allocated by PyTorch, and 11.83 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7604933Z 2025-12-04T09:38:39.7605105Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7605508Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7605513Z 2025-12-04T09:38:39.7605721Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7607836Z FAILED [0.5653s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7607842Z 2025-12-04T09:38:39.7608012Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7608420Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7608424Z 2025-12-04T09:38:39.7608638Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7610672Z FAILED [0.5352s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7610678Z 2025-12-04T09:38:39.7610849Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7611254Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7611266Z 2025-12-04T09:38:39.7611476Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7613581Z FAILED [0.5360s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7613587Z 2025-12-04T09:38:39.7613758Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7614155Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7614169Z 2025-12-04T09:38:39.7614378Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7616401Z FAILED [0.5347s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7616415Z 2025-12-04T09:38:39.7616592Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7616986Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7617067Z 2025-12-04T09:38:39.7617280Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7619297Z FAILED [0.5423s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7619303Z 2025-12-04T09:38:39.7619470Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7619881Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7619885Z 2025-12-04T09:38:39.7620097Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7622119Z FAILED [0.5343s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7622124Z 2025-12-04T09:38:39.7622297Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7622706Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7622710Z 2025-12-04T09:38:39.7622996Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7625020Z FAILED [0.5361s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7625029Z 2025-12-04T09:38:39.7625198Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7625606Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7625610Z 2025-12-04T09:38:39.7625817Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7627843Z FAILED [0.5347s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7627927Z 2025-12-04T09:38:39.7628097Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7628507Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7628511Z 2025-12-04T09:38:39.7628718Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7630737Z FAILED [0.5341s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7630755Z 2025-12-04T09:38:39.7630923Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7631323Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7631328Z 2025-12-04T09:38:39.7631545Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7633567Z FAILED [0.5399s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7633584Z 2025-12-04T09:38:39.7633831Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7634229Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7634233Z 2025-12-04T09:38:39.7634449Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7636465Z FAILED [0.5364s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7636479Z 2025-12-04T09:38:39.7636654Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7637050Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7637054Z 2025-12-04T09:38:39.7637271Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7639372Z FAILED [0.5358s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7639464Z 2025-12-04T09:38:39.7639643Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7640039Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7640043Z 2025-12-04T09:38:39.7640259Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7642283Z FAILED [0.5346s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7642295Z 2025-12-04T09:38:39.7642468Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7642862Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7642866Z 2025-12-04T09:38:39.7643074Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7645192Z FAILED [0.5349s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7645202Z 2025-12-04T09:38:39.7645372Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7645774Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7645778Z 2025-12-04T09:38:39.7645985Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7648005Z FAILED [0.5349s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7648015Z 2025-12-04T09:38:39.7648182Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7648585Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7648589Z 2025-12-04T09:38:39.7648797Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7650824Z FAILED [0.5355s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7650905Z 2025-12-04T09:38:39.7651075Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7651477Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7651481Z 2025-12-04T09:38:39.7651690Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7653729Z FAILED [0.5349s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7653739Z 2025-12-04T09:38:39.7653908Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7654306Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7654311Z 2025-12-04T09:38:39.7654520Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7656600Z FAILED [0.5365s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7656612Z 2025-12-04T09:38:39.7656782Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7657183Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7657194Z 2025-12-04T09:38:39.7657403Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7659430Z FAILED [0.5417s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7659441Z 2025-12-04T09:38:39.7659610Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7660005Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7660083Z 2025-12-04T09:38:39.7660295Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7662319Z FAILED [0.5354s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7662325Z 2025-12-04T09:38:39.7662500Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7662899Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7662908Z 2025-12-04T09:38:39.7663120Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7665139Z FAILED [0.5344s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7665144Z 2025-12-04T09:38:39.7665319Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7665713Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7665722Z 2025-12-04T09:38:39.7665938Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7668034Z FAILED [0.5352s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7668040Z 2025-12-04T09:38:39.7668214Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7668617Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7668622Z 2025-12-04T09:38:39.7668836Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7670863Z FAILED [0.5357s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7670868Z 2025-12-04T09:38:39.7671045Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7671514Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7671518Z 2025-12-04T09:38:39.7671732Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7673767Z FAILED [0.5368s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7673777Z 2025-12-04T09:38:39.7673946Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7674352Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7674356Z 2025-12-04T09:38:39.7674568Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7676646Z FAILED [0.5350s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7676656Z 2025-12-04T09:38:39.7676824Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7677299Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7677304Z 2025-12-04T09:38:39.7677512Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7679636Z FAILED [0.5359s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7679646Z 2025-12-04T09:38:39.7679821Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7680238Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7680242Z 2025-12-04T09:38:39.7680449Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7682497Z FAILED [0.5411s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7682606Z 2025-12-04T09:38:39.7682779Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7683179Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7683188Z 2025-12-04T09:38:39.7683401Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7685445Z FAILED [0.5367s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7685462Z 2025-12-04T09:38:39.7685635Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7686037Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7686041Z 2025-12-04T09:38:39.7686276Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7688744Z FAILED [0.5356s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7688769Z 2025-12-04T09:38:39.7688948Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7689347Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7689351Z 2025-12-04T09:38:39.7689565Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7691588Z FAILED [0.5377s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7691597Z 2025-12-04T09:38:39.7691776Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7692174Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7692178Z 2025-12-04T09:38:39.7692393Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7694414Z FAILED [0.5348s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7694524Z 2025-12-04T09:38:39.7694701Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7695094Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7695098Z 2025-12-04T09:38:39.7695306Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7697309Z FAILED [0.5344s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7697319Z 2025-12-04T09:38:39.7697496Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7697895Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7697899Z 2025-12-04T09:38:39.7698111Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7700367Z FAILED [0.5346s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7700379Z 2025-12-04T09:38:39.7700604Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7701011Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7701016Z 2025-12-04T09:38:39.7701226Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7703333Z FAILED [0.5355s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7703342Z 2025-12-04T09:38:39.7703514Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7703908Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7703912Z 2025-12-04T09:38:39.7704130Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7706346Z FAILED [0.5356s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7706353Z 2025-12-04T09:38:39.7706550Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7706951Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7706955Z 2025-12-04T09:38:39.7707161Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7709193Z FAILED [0.5338s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7709199Z 2025-12-04T09:38:39.7709368Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7709759Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7709763Z 2025-12-04T09:38:39.7709973Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7712071Z FAILED [0.5373s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7712082Z 2025-12-04T09:38:39.7712255Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7712638Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7712647Z 2025-12-04T09:38:39.7712861Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7714886Z FAILED [0.5359s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7714897Z 2025-12-04T09:38:39.7715064Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7715451Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7715530Z 2025-12-04T09:38:39.7715747Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7717767Z FAILED [0.5364s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7717772Z 2025-12-04T09:38:39.7717951Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7718432Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7718437Z 2025-12-04T09:38:39.7718656Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7720678Z FAILED [0.5357s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7720683Z 2025-12-04T09:38:39.7720859Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7721246Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7721250Z 2025-12-04T09:38:39.7721541Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7723561Z FAILED [0.5376s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7723570Z 2025-12-04T09:38:39.7723746Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7724141Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7724152Z 2025-12-04T09:38:39.7724361Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7726385Z FAILED [0.5360s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7726494Z 2025-12-04T09:38:39.7726662Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7727066Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7727070Z 2025-12-04T09:38:39.7727278Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7729363Z FAILED [0.5356s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7729374Z 2025-12-04T09:38:39.7729548Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7729955Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7729959Z 2025-12-04T09:38:39.7730168Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7732322Z FAILED [0.5377s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7732333Z 2025-12-04T09:38:39.7732502Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7733000Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7733007Z 2025-12-04T09:38:39.7733270Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7735382Z FAILED [0.5374s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7735393Z 2025-12-04T09:38:39.7735568Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7735970Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7735974Z 2025-12-04T09:38:39.7736186Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7738205Z FAILED [0.5375s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7738307Z 2025-12-04T09:38:39.7738476Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7738871Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7738880Z 2025-12-04T09:38:39.7739087Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7741107Z FAILED [0.5362s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7741124Z 2025-12-04T09:38:39.7741297Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7741689Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7741693Z 2025-12-04T09:38:39.7741910Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7744002Z FAILED [0.5396s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7744013Z 2025-12-04T09:38:39.7744189Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7744583Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7744587Z 2025-12-04T09:38:39.7744802Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7746819Z FAILED [0.5374s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 22.06 GiB of which 8.87 GiB is free. Including non-PyTorch memory, this process has 13.18 GiB memory in use. Of the allocated memory 983.27 MiB is allocated by PyTorch, and 11.92 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:38:39.7746828Z 2025-12-04T09:38:39.7747005Z To execute this test, run the following from the base repo dir: 2025-12-04T09:38:39.7747401Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T09:38:39.7747405Z 2025-12-04T09:38:39.7747623Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:38:39.7747967Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7748381Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7748723Z ERROR [0.0002s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7749060Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7749402Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7749733Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7750069Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7750403Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7750732Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7751075Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7751420Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7751799Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7752138Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7752466Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7752806Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7753136Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7753472Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7753898Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7754235Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7754564Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7754903Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7755236Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7755576Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7755911Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7756246Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7756587Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7756927Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7757274Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7757609Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7757942Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7758418Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7758753Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7759090Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7759421Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7759751Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7760085Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7760414Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7760767Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7761102Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7761430Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7761763Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7762173Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7762650Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7763104Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7763573Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7764043Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7764631Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7765099Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7765552Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7766007Z ERROR [0.0005s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T09:38:39.7766205Z ======================== 50 failed, 50 errors in 27.72s ======================== 2025-12-04T09:38:39.7766211Z 2025-12-04T09:38:39.7766720Z FINISHED PRINTING LOG FILE of functorch/test_dims 1/1 (test/test-reports/functorch.test_dims_1.1_ad0c67c59f26e65c_.log) 2025-12-04T09:38:39.7766732Z 2025-12-04T09:38:39.7767079Z Finished functorch/test_dims 1/1 ... [2025-12-04 09:38:39.651636][1585.452818384], took 0.52min 2025-12-04T09:38:39.7767842Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_dims/functorch.test_dims-d99e17065e1c8914.xml 2025-12-04T09:38:40.0354704Z Uploading logs for 57118183233 to S3 2025-12-04T09:38:40.0756943Z Uploading artifacts took 0.34 seconds 2025-12-04T09:38:40.0757062Z functorch/test_dims 1/1 failed! 2025-12-04T09:38:40.0761773Z Running test_sparse_csr 1/2 ... [2025-12-04 09:38:40.075890][1585.877073074] 2025-12-04T09:38:40.0761896Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:38:40.0766242Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_sparse_csr.py', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:38:40.076286] 2025-12-04T09:38:53.3171579Z 2025-12-04T09:38:53.3172470Z test_sparse_csr 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_sparse_csr_1.2_d47335af4cc632fe_.log 2025-12-04T09:38:53.3173133Z Running 0 items in this shard: 2025-12-04T09:38:53.3173333Z 2025-12-04T09:38:53.3173572Z Finished test_sparse_csr 1/2 ... [2025-12-04 09:38:53.316807][1599.117991964], took 0.22min 2025-12-04T09:38:53.3201898Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_sparse_csr/test_sparse_csr-0b4b15ae45206c5f.xml 2025-12-04T09:38:53.3745499Z Running functorch/test_vmap 1/1 ... [2025-12-04 09:38:53.374209][1599.175393524] 2025-12-04T09:38:53.3745935Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:38:53.3749564Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_vmap.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:38:53.374566] 2025-12-04T09:39:02.2063309Z 2025-12-04T09:39:02.2064112Z functorch/test_vmap 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_vmap_1.1_bcae36a66f376954_.log 2025-12-04T09:39:02.2085188Z Running 50 items in this shard: test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32 2025-12-04T09:39:02.2105682Z 2025-12-04T09:39:02.2105943Z Finished functorch/test_vmap 1/1 ... [2025-12-04 09:39:02.206034][1608.007219627], took 0.15min 2025-12-04T09:39:02.2106859Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_vmap/functorch.test_vmap-01afda515754280e.xml 2025-12-04T09:39:02.2878345Z Running inductor/test_compiled_autograd 2/2 ... [2025-12-04 09:39:02.286794][1608.087978527] 2025-12-04T09:39:02.2878854Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:39:02.2880039Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_compiled_autograd.py', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:39:02.287103] 2025-12-04T09:39:11.4684841Z 2025-12-04T09:39:11.4685803Z inductor/test_compiled_autograd 2/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compiled_autograd_2.2_73b59fa9f17044d8_.log 2025-12-04T09:39:11.4686597Z Running 0 items in this shard: 2025-12-04T09:39:11.4686789Z 2025-12-04T09:39:11.4687108Z Finished inductor/test_compiled_autograd 2/2 ... [2025-12-04 09:39:11.468074][1617.269258826], took 0.15min 2025-12-04T09:39:11.4718615Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compiled_autograd/inductor.test_compiled_autograd-7ed35f24f4b96d5f.xml 2025-12-04T09:39:11.5434775Z Running inductor/test_triton_extension_backend 1/1 ... [2025-12-04 09:39:11.543122][1617.344307509] 2025-12-04T09:39:11.5435288Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:39:11.5438333Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_triton_extension_backend.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:39:11.543465] 2025-12-04T09:39:18.3202079Z 2025-12-04T09:39:18.3203161Z inductor/test_triton_extension_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_extension_backend_1.1_9dae37a8da439e3b_.log 2025-12-04T09:39:18.3204015Z Running 0 items in this shard: 2025-12-04T09:39:18.3204208Z 2025-12-04T09:39:18.3204570Z Finished inductor/test_triton_extension_backend 1/1 ... [2025-12-04 09:39:18.319811][1624.120990405], took 0.11min 2025-12-04T09:39:18.3237446Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_triton_extension_backend/inductor.test_triton_extension_backend-358a65c06d18657d.xml 2025-12-04T09:39:18.3910989Z Running inductor/test_metrics 1/1 ... [2025-12-04 09:39:18.390748][1624.191933021] 2025-12-04T09:39:18.3911439Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:39:18.3914580Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_metrics.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:39:18.391099] 2025-12-04T09:39:24.6166358Z 2025-12-04T09:39:24.6167298Z inductor/test_metrics 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_metrics_1.1_4f3704496fdbe7ee_.log 2025-12-04T09:39:24.6168429Z Running 0 items in this shard: 2025-12-04T09:39:24.6168618Z 2025-12-04T09:39:24.6168881Z Finished inductor/test_metrics 1/1 ... [2025-12-04 09:39:24.616333][1630.417517633], took 0.10min 2025-12-04T09:39:24.6203885Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_metrics/inductor.test_metrics-611dc326736c4991.xml 2025-12-04T09:39:24.6924385Z Running inductor/test_fx_fusion 1/1 ... [2025-12-04 09:39:24.692090][1630.493271205] 2025-12-04T09:39:24.6924857Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:39:24.6928562Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_fx_fusion.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:39:24.692476] 2025-12-04T09:39:28.8147616Z 2025-12-04T09:39:28.8148903Z inductor/test_fx_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fx_fusion_1.1_dd5e93c4c823abe2_.log 2025-12-04T09:39:28.8150066Z Running 0 items in this shard: 2025-12-04T09:39:28.8184356Z 2025-12-04T09:39:28.8184821Z Finished inductor/test_fx_fusion 1/1 ... [2025-12-04 09:39:28.814191][1634.615376486], took 0.07min 2025-12-04T09:39:28.8186457Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_fx_fusion/inductor.test_fx_fusion-ad6580482625ae7d.xml 2025-12-04T09:39:28.8459380Z Running dynamo/test_inline_and_install 1/1 ... [2025-12-04 09:39:28.845558][1634.646744298] 2025-12-04T09:39:28.8460152Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:39:28.8462514Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_inline_and_install.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:39:28.845873] 2025-12-04T09:39:33.1689988Z 2025-12-04T09:39:33.1691059Z dynamo/test_inline_and_install 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_inline_and_install_1.1_64c393cbe2bb1c84_.log 2025-12-04T09:39:33.1691811Z Running 0 items in this shard: 2025-12-04T09:39:33.1692000Z 2025-12-04T09:39:33.1692291Z Finished dynamo/test_inline_and_install 1/1 ... [2025-12-04 09:39:33.168602][1638.969786735], took 0.07min 2025-12-04T09:39:33.1729700Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_inline_and_install/dynamo.test_inline_and_install-bb8df52130e8b644.xml 2025-12-04T09:39:33.2051022Z Running inductor/test_inductor_scheduler 1/1 ... [2025-12-04 09:39:33.204662][1639.00584787] 2025-12-04T09:39:33.2051654Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:39:33.2052990Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_inductor_scheduler.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:39:33.204963] 2025-12-04T09:39:39.5817178Z 2025-12-04T09:39:39.5818094Z inductor/test_inductor_scheduler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inductor_scheduler_1.1_b983b3788b60e681_.log 2025-12-04T09:39:39.5818883Z Running 0 items in this shard: 2025-12-04T09:39:39.5819075Z 2025-12-04T09:39:39.5819383Z Finished inductor/test_inductor_scheduler 1/1 ... [2025-12-04 09:39:39.581349][1645.382533924], took 0.11min 2025-12-04T09:39:39.5858874Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_inductor_scheduler/inductor.test_inductor_scheduler-baac5a421ea50485.xml 2025-12-04T09:39:39.6569463Z Running dynamo/test_modules 1/1 ... [2025-12-04 09:39:39.656581][1645.457764401] 2025-12-04T09:39:39.6570234Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:39:39.6572978Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_modules.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:39:39.656910] 2025-12-04T09:39:46.3839229Z 2025-12-04T09:39:46.3840933Z dynamo/test_modules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_modules_1.1_d1a19667d6585334_.log 2025-12-04T09:39:46.3842280Z Running 0 items in this shard: 2025-12-04T09:39:46.3842644Z 2025-12-04T09:39:46.3843152Z Finished dynamo/test_modules 1/1 ... [2025-12-04 09:39:46.383435][1652.184620462], took 0.11min 2025-12-04T09:39:46.3883360Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_modules/dynamo.test_modules-e8cf5d1aee3d5dc4.xml 2025-12-04T09:39:46.4663781Z Running dynamo/test_recompiles 1/1 ... [2025-12-04 09:39:46.466019][1652.267202927] 2025-12-04T09:39:46.4664255Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:39:46.4667021Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_recompiles.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:39:46.466339] 2025-12-04T09:39:49.9870955Z 2025-12-04T09:39:49.9871775Z dynamo/test_recompiles 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_recompiles_1.1_cfaf77e5d1b42ddf_.log 2025-12-04T09:39:49.9872521Z Running 0 items in this shard: 2025-12-04T09:39:49.9873127Z 2025-12-04T09:39:49.9873411Z Finished dynamo/test_recompiles 1/1 ... [2025-12-04 09:39:49.986767][1655.787951821], took 0.06min 2025-12-04T09:39:49.9917148Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_recompiles/dynamo.test_recompiles-acc18c76aa580e4e.xml 2025-12-04T09:39:50.0160206Z Running inductor/test_foreach 1/1 ... [2025-12-04 09:39:50.015670][1655.816855708] 2025-12-04T09:39:50.0160665Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:39:50.0163939Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_foreach.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:39:50.015983] 2025-12-04T09:39:57.5948287Z 2025-12-04T09:39:57.5949136Z inductor/test_foreach 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_foreach_1.1_2044c8ec82f35136_.log 2025-12-04T09:39:57.5949855Z Running 0 items in this shard: 2025-12-04T09:39:57.5950041Z 2025-12-04T09:39:57.5950314Z Finished inductor/test_foreach 1/1 ... [2025-12-04 09:39:57.594452][1663.395636924], took 0.13min 2025-12-04T09:39:57.5995926Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_foreach/inductor.test_foreach-abe8a0e632c58610.xml 2025-12-04T09:39:57.6758227Z Running export/test_torchbind 1/1 ... [2025-12-04 09:39:57.675421][1663.476605464] 2025-12-04T09:39:57.6758670Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:39:57.6762796Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_torchbind.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:39:57.675738] 2025-12-04T09:40:04.0035743Z 2025-12-04T09:40:04.0036887Z export/test_torchbind 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_torchbind_1.1_7dd2296689121b9d_.log 2025-12-04T09:40:04.0037610Z Running 0 items in this shard: 2025-12-04T09:40:04.0037790Z 2025-12-04T09:40:04.0038546Z Finished export/test_torchbind 1/1 ... [2025-12-04 09:40:04.003206][1669.804391136], took 0.11min 2025-12-04T09:40:04.0085716Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_torchbind/export.test_torchbind-55f837330deeaa5b.xml 2025-12-04T09:40:04.0789093Z Running inductor/test_efficient_conv_bn_eval 1/1 ... [2025-12-04 09:40:04.078492][1669.879676347] 2025-12-04T09:40:04.0789687Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:40:04.0792754Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_efficient_conv_bn_eval.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:40:04.078865] 2025-12-04T09:40:10.8563759Z 2025-12-04T09:40:10.8565108Z inductor/test_efficient_conv_bn_eval 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_efficient_conv_bn_eval_1.1_81c5612f86166599_.log 2025-12-04T09:40:10.8567248Z Running 0 items in this shard: 2025-12-04T09:40:10.8567601Z 2025-12-04T09:40:10.8568104Z Finished inductor/test_efficient_conv_bn_eval 1/1 ... [2025-12-04 09:40:10.855987][1676.657171598], took 0.11min 2025-12-04T09:40:10.8616523Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_efficient_conv_bn_eval/inductor.test_efficient_conv_bn_eval-d5aba8a29b24a1e7.xml 2025-12-04T09:40:10.9312227Z Running inductor/test_torchbind 1/1 ... [2025-12-04 09:40:10.930820][1676.732004411] 2025-12-04T09:40:10.9312676Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:40:10.9316553Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchbind.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:40:10.931140] 2025-12-04T09:40:17.1576170Z 2025-12-04T09:40:17.1577372Z inductor/test_torchbind 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchbind_1.1_0693778beac3031c_.log 2025-12-04T09:40:17.1578114Z Running 0 items in this shard: 2025-12-04T09:40:17.1578300Z 2025-12-04T09:40:17.1578582Z Finished inductor/test_torchbind 1/1 ... [2025-12-04 09:40:17.157306][1682.958490655], took 0.10min 2025-12-04T09:40:17.1631367Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchbind/inductor.test_torchbind-dfe8b36dcb2a262f.xml 2025-12-04T09:40:17.2290059Z Running dynamo/test_aot_autograd_cache 1/1 ... [2025-12-04 09:40:17.228640][1683.029824506] 2025-12-04T09:40:17.2290567Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:40:17.2294285Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_aot_autograd_cache.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:40:17.229046] 2025-12-04T09:40:23.6048987Z 2025-12-04T09:40:23.6049927Z dynamo/test_aot_autograd_cache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_aot_autograd_cache_1.1_84776bc12e814810_.log 2025-12-04T09:40:23.6050699Z Running 0 items in this shard: 2025-12-04T09:40:23.6050880Z 2025-12-04T09:40:23.6051173Z Finished dynamo/test_aot_autograd_cache 1/1 ... [2025-12-04 09:40:23.604595][1689.405779339], took 0.11min 2025-12-04T09:40:23.6103180Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_aot_autograd_cache/dynamo.test_aot_autograd_cache-9e3a0982556f0b48.xml 2025-12-04T09:40:23.6795689Z Running dynamo/test_torchrec 1/1 ... [2025-12-04 09:40:23.679247][1689.48043207] 2025-12-04T09:40:23.6796206Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:40:23.6799464Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_torchrec.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:40:23.679570] 2025-12-04T09:40:27.2009440Z 2025-12-04T09:40:27.2010193Z dynamo/test_torchrec 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_torchrec_1.1_a37598acc0504e3f_.log 2025-12-04T09:40:27.2010897Z Running 0 items in this shard: 2025-12-04T09:40:27.2011080Z 2025-12-04T09:40:27.2011346Z Finished dynamo/test_torchrec 1/1 ... [2025-12-04 09:40:27.200550][1693.001734984], took 0.06min 2025-12-04T09:40:27.2065409Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_torchrec/dynamo.test_torchrec-e9967424193e2586.xml 2025-12-04T09:40:27.2356504Z Running dynamo/test_exceptions 1/1 ... [2025-12-04 09:40:27.235355][1693.036541202] 2025-12-04T09:40:27.2356955Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:40:27.2360192Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_exceptions.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:40:27.235658] 2025-12-04T09:40:30.8085477Z 2025-12-04T09:40:30.8086441Z dynamo/test_exceptions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_exceptions_1.1_e58e38d65a36765f_.log 2025-12-04T09:40:30.8087154Z Running 0 items in this shard: 2025-12-04T09:40:30.8087739Z 2025-12-04T09:40:30.8088015Z Finished dynamo/test_exceptions 1/1 ... [2025-12-04 09:40:30.808242][1696.60942314], took 0.06min 2025-12-04T09:40:30.8143422Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_exceptions/dynamo.test_exceptions-508c48864312f3ce.xml 2025-12-04T09:40:30.8415764Z Running export/test_lift_unlift 1/1 ... [2025-12-04 09:40:30.841249][1696.64243492] 2025-12-04T09:40:30.8416276Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:40:30.8419464Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_lift_unlift.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:40:30.841552] 2025-12-04T09:40:34.0625419Z 2025-12-04T09:40:34.0626265Z export/test_lift_unlift 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_lift_unlift_1.1_f622004b9d738152_.log 2025-12-04T09:40:34.0627018Z Running 0 items in this shard: 2025-12-04T09:40:34.0627200Z 2025-12-04T09:40:34.0627476Z Finished export/test_lift_unlift 1/1 ... [2025-12-04 09:40:34.061974][1699.863159144], took 0.05min 2025-12-04T09:40:34.0682343Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_lift_unlift/export.test_lift_unlift-cab16567c4fa1b36.xml 2025-12-04T09:40:34.0962323Z Running export/test_verifier 1/1 ... [2025-12-04 09:40:34.095911][1699.897097059] 2025-12-04T09:40:34.0962765Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:40:34.0966406Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_verifier.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:40:34.096251] 2025-12-04T09:40:37.3170035Z 2025-12-04T09:40:37.3170920Z export/test_verifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_verifier_1.1_f4d4c5a92142cca2_.log 2025-12-04T09:40:37.3171628Z Running 0 items in this shard: 2025-12-04T09:40:37.3171812Z 2025-12-04T09:40:37.3172389Z Finished export/test_verifier 1/1 ... [2025-12-04 09:40:37.316687][1703.11787245], took 0.05min 2025-12-04T09:40:37.3233248Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_verifier/export.test_verifier-8deb575285806996.xml 2025-12-04T09:40:37.3450877Z Running export/test_draft_export 1/1 ... [2025-12-04 09:40:37.344754][1703.145939793] 2025-12-04T09:40:37.3451458Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:40:37.3454708Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_draft_export.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:40:37.345077] 2025-12-04T09:40:40.9163243Z 2025-12-04T09:40:40.9164086Z export/test_draft_export 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_draft_export_1.1_3b1fdf26467ffafe_.log 2025-12-04T09:40:40.9164803Z Running 0 items in this shard: 2025-12-04T09:40:40.9164988Z 2025-12-04T09:40:40.9165268Z Finished export/test_draft_export 1/1 ... [2025-12-04 09:40:40.915974][1706.717158945], took 0.06min 2025-12-04T09:40:40.9224768Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_draft_export/export.test_draft_export-bd128e0011ba140b.xml 2025-12-04T09:40:40.9555180Z Running test_comparison_utils 1/1 ... [2025-12-04 09:40:40.955177][1706.75636279] 2025-12-04T09:40:40.9555631Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:40:40.9558889Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_comparison_utils.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:40:40.955500] 2025-12-04T09:40:44.1755498Z 2025-12-04T09:40:44.1756453Z test_comparison_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_comparison_utils_1.1_15c8346d18cbb555_.log 2025-12-04T09:40:44.1757174Z Running 0 items in this shard: 2025-12-04T09:40:44.1757354Z 2025-12-04T09:40:44.1757623Z Finished test_comparison_utils 1/1 ... [2025-12-04 09:40:44.175243][1709.97642757], took 0.05min 2025-12-04T09:40:44.1821568Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_comparison_utils/test_comparison_utils-f92419a0bcf8411f.xml 2025-12-04T09:40:44.2089189Z Running functorch/test_ac_logging 1/1 ... [2025-12-04 09:40:44.208545][1710.009730985] 2025-12-04T09:40:44.2089673Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:40:44.2092837Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_ac_logging.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:40:44.208893] 2025-12-04T09:40:47.4793153Z 2025-12-04T09:40:47.4794136Z functorch/test_ac_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ac_logging_1.1_7aa30e0e85be25cf_.log 2025-12-04T09:40:47.4794859Z Running 0 items in this shard: 2025-12-04T09:40:47.4795042Z 2025-12-04T09:40:47.4795318Z Finished functorch/test_ac_logging 1/1 ... [2025-12-04 09:40:47.478972][1713.280157442], took 0.05min 2025-12-04T09:40:47.4859254Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_ac_logging/functorch.test_ac_logging-ffd86db94af214d7.xml 2025-12-04T09:40:47.5106463Z Running test_mkldnn_verbose 1/1 ... [2025-12-04 09:40:47.510310][1713.311491545] 2025-12-04T09:40:47.5106912Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:40:47.5111661Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_mkldnn_verbose.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:40:47.510739] 2025-12-04T09:40:50.7316248Z 2025-12-04T09:40:50.7317807Z test_mkldnn_verbose 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_verbose_1.1_5bb06b91e51ca5f6_.log 2025-12-04T09:40:50.7319172Z Running 0 items in this shard: 2025-12-04T09:40:50.7319517Z 2025-12-04T09:40:50.7319900Z Finished test_mkldnn_verbose 1/1 ... [2025-12-04 09:40:50.731165][1716.532344731], took 0.05min 2025-12-04T09:40:50.7395616Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_mkldnn_verbose/test_mkldnn_verbose-18965efaa4858ecb.xml 2025-12-04T09:40:50.7686522Z Running test_license 1/1 ... [2025-12-04 09:40:50.768141][1716.569326722] 2025-12-04T09:40:50.7686942Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:40:50.7688901Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_license.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:40:50.768471] 2025-12-04T09:40:53.9891654Z 2025-12-04T09:40:53.9892707Z test_license 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_license_1.1_fbf43e8fe1dfc6ce_.log 2025-12-04T09:40:53.9893368Z Running 0 items in this shard: 2025-12-04T09:40:53.9893549Z 2025-12-04T09:40:53.9893781Z Finished test_license 1/1 ... [2025-12-04 09:40:53.988853][1719.790037177], took 0.05min 2025-12-04T09:40:53.9961304Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_license/test_license-7d52fcb0dc1e5228.xml 2025-12-04T09:40:54.0261129Z Running test_autoload 1/1 ... [2025-12-04 09:40:54.025764][1719.826949346] 2025-12-04T09:40:54.0261564Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:40:54.0264957Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_autoload.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:40:54.026068] 2025-12-04T09:40:57.2472226Z 2025-12-04T09:40:57.2473212Z test_autoload 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autoload_1.1_3cba31e4c10a8510_.log 2025-12-04T09:40:57.2473867Z Running 0 items in this shard: 2025-12-04T09:40:57.2474047Z 2025-12-04T09:40:57.2474290Z Finished test_autoload 1/1 ... [2025-12-04 09:40:57.246789][1723.047974495], took 0.05min 2025-12-04T09:40:57.2545508Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_autoload/test_autoload-0925c00484d04453.xml 2025-12-04T09:40:57.2800300Z Running nn/attention/test_open_registry 1/1 ... [2025-12-04 09:40:57.279690][1723.080875354] 2025-12-04T09:40:57.2800883Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:40:57.2805224Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/attention/test_open_registry.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:40:57.280034] 2025-12-04T09:41:00.5008807Z 2025-12-04T09:41:00.5009862Z nn/attention/test_open_registry 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.attention.test_open_registry_1.1_b7039ec2ebb20fb5_.log 2025-12-04T09:41:00.5010636Z Running 0 items in this shard: 2025-12-04T09:41:00.5010853Z 2025-12-04T09:41:00.5011157Z Finished nn/attention/test_open_registry 1/1 ... [2025-12-04 09:41:00.500507][1726.301691809], took 0.05min 2025-12-04T09:41:00.5081653Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.attention.test_open_registry/nn.attention.test_open_registry-713321d592e80c7b.xml 2025-12-04T09:41:00.5302411Z Running test_as_strided 1/1 ... [2025-12-04 09:41:00.529914][1726.331099614] 2025-12-04T09:41:00.5302828Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:41:00.5305756Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_as_strided.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:41:00.530217] 2025-12-04T09:41:03.7509812Z 2025-12-04T09:41:03.7510739Z test_as_strided 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_as_strided_1.1_b8449922abb08fb5_.log 2025-12-04T09:41:03.7511427Z Running 0 items in this shard: 2025-12-04T09:41:03.7511608Z 2025-12-04T09:41:03.7511846Z Finished test_as_strided 1/1 ... [2025-12-04 09:41:03.750616][1729.551800827], took 0.05min 2025-12-04T09:41:03.7584129Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_as_strided/test_as_strided-1c6f3cfa6c81f855.xml 2025-12-04T09:41:03.7842742Z Running test_foreach 1/2 ... [2025-12-04 09:41:03.783919][1729.585104482] 2025-12-04T09:41:03.7843154Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:41:03.7845868Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_foreach.py', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:41:03.784220] 2025-12-04T09:41:28.8009695Z 2025-12-04T09:41:28.8010777Z test_foreach 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_foreach_1.2_73a1ffaa71413a82_.log 2025-12-04T09:41:28.8073824Z Running 150 items in this shard: test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_bfloat16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_float16, 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test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_float16, 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test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_foreach_copy_with_multi_dtypes__foreach_copy_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16, test/test_foreach.py::TestForeachCUDA::test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcmul_is_fastpath_True_cuda_float16 2025-12-04T09:41:28.8133456Z 2025-12-04T09:41:28.8133689Z Finished test_foreach 1/2 ... [2025-12-04 09:41:28.801034][1754.602218774], took 0.42min 2025-12-04T09:41:28.8134525Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_foreach/test_foreach-b3df8861d27c06eb.xml 2025-12-04T09:41:28.8905462Z Running test_modules 4/4 ... [2025-12-04 09:41:28.890230][1754.691413406] 2025-12-04T09:41:28.8906020Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:41:28.8908940Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_modules.py', '--shard-id=4', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:41:28.890546] 2025-12-04T09:41:39.8269018Z 2025-12-04T09:41:39.8270336Z test_modules 4/4 was successful, full logs can be found in artifacts with path test/test-reports/test_modules_4.4_e6e8f9da1ecbc0bd_.log 2025-12-04T09:41:39.8271552Z Running 0 items in this shard: 2025-12-04T09:41:39.8271963Z 2025-12-04T09:41:39.8272939Z Finished test_modules 4/4 ... [2025-12-04 09:41:39.826471][1765.627654313], took 0.18min 2025-12-04T09:41:39.8348774Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_modules/test_modules-e6e751695331ac74.xml 2025-12-04T09:41:39.9337076Z Running optim/test_optim 1/1 ... [2025-12-04 09:41:39.933323][1765.734507438] 2025-12-04T09:41:39.9337524Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:41:39.9340841Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'optim/test_optim.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:41:39.933634] 2025-12-04T09:41:43.0542097Z 2025-12-04T09:41:43.0543079Z optim/test_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_optim_1.1_d587c1d0f89023b2_.log 2025-12-04T09:41:43.0543639Z 2025-12-04T09:41:43.0543919Z Finished optim/test_optim 1/1 ... [2025-12-04 09:41:43.053866][1768.85505093], took 0.05min 2025-12-04T09:41:43.0623574Z Running torch_np/numpy_tests/core/test_dlpack 1/1 ... [2025-12-04 09:41:43.061995][1768.863181626] 2025-12-04T09:41:43.0624086Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:41:43.0626544Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_dlpack.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:41:43.062315] 2025-12-04T09:41:46.3829089Z 2025-12-04T09:41:46.3830349Z torch_np/numpy_tests/core/test_dlpack 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_dlpack_1.1_9fe3f2d8289828df_.log 2025-12-04T09:41:46.3832404Z Running 0 items in this shard: 2025-12-04T09:41:46.3832588Z 2025-12-04T09:41:46.3832931Z Finished torch_np/numpy_tests/core/test_dlpack 1/1 ... [2025-12-04 09:41:46.382572][1772.183757845], took 0.06min 2025-12-04T09:41:46.3908670Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_dlpack/torch_np.numpy_tests.core.test_dlpack-d5e1613b12910b98.xml 2025-12-04T09:41:46.4845104Z Running test_multiprocessing_spawn 1/1 ... [2025-12-04 09:41:46.484175][1772.285360568] 2025-12-04T09:41:46.4845588Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:41:46.4848416Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_multiprocessing_spawn.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:41:46.484488] 2025-12-04T09:41:54.7645590Z 2025-12-04T09:41:54.7646663Z test_multiprocessing_spawn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_spawn_1.1_eeffefb295b0515e_.log 2025-12-04T09:41:54.7647403Z Running 0 items in this shard: 2025-12-04T09:41:54.7647591Z 2025-12-04T09:41:54.7647872Z Finished test_multiprocessing_spawn 1/1 ... [2025-12-04 09:41:54.764245][1780.565429947], took 0.14min 2025-12-04T09:41:54.7726520Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_multiprocessing_spawn/test_multiprocessing_spawn-32c04d8055272013.xml 2025-12-04T09:41:54.8412685Z Running profiler/test_python_tracer 1/1 ... [2025-12-04 09:41:54.840913][1780.642097354] 2025-12-04T09:41:54.8413161Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:41:54.8415739Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_python_tracer.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:41:54.841225] 2025-12-04T09:41:58.0619320Z 2025-12-04T09:41:58.0620467Z profiler/test_python_tracer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_python_tracer_1.1_302604ea627be42b_.log 2025-12-04T09:41:58.0621247Z Running 0 items in this shard: 2025-12-04T09:41:58.0621426Z 2025-12-04T09:41:58.0621722Z Finished profiler/test_python_tracer 1/1 ... [2025-12-04 09:41:58.061528][1783.862713325], took 0.05min 2025-12-04T09:41:58.0701905Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_python_tracer/profiler.test_python_tracer-13e0b4d08d3f7031.xml 2025-12-04T09:41:58.1016845Z Running cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility 1/1 ... [2025-12-04 09:41:58.101348][1783.902533512] 2025-12-04T09:41:58.1017499Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:41:58.1020374Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:41:58.101654] 2025-12-04T09:42:01.3724517Z 2025-12-04T09:42:01.3726859Z cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp_extensions.libtorch_agnostic_2_10_extension.test_version_compatibility_1.1_fe4a5df819b8c678_.log 2025-12-04T09:42:01.3728304Z Running 0 items in this shard: 2025-12-04T09:42:01.3728488Z 2025-12-04T09:42:01.3728951Z Finished cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility 1/1 ... [2025-12-04 09:42:01.372006][1787.173190578], took 0.05min 2025-12-04T09:42:01.3808135Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/cpp_extensions.libtorch_agnostic_2_10_extension.test_version_compatibility/cpp_extensions.libtorch_agnostic_2_10_extension.test_version_compatibility-6117eb66e6751001.xml 2025-12-04T09:42:01.4167714Z Running test_cpp_extensions_aot_ninja 1/1 ... [2025-12-04 09:42:01.416452][1787.217636736] 2025-12-04T09:42:01.7741975Z Processing /var/lib/jenkins/workspace/test/cpp_extensions 2025-12-04T09:42:05.0100123Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:42:05.0120263Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension 2025-12-04T09:43:31.1938759Z Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | done 2025-12-04T09:43:31.2080773Z [?25h Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp310-cp310-linux_x86_64.whl size=16081746 sha256=4189cc50e11dd25083028b5c4e9da3c5a8b673630cf76076a735537645ac813e 2025-12-04T09:43:31.2082841Z Stored in directory: /tmp/pip-ephem-wheel-cache-xfauiv4r/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1 2025-12-04T09:43:31.2102156Z Successfully built torch_test_cpp_extension 2025-12-04T09:43:31.5682130Z Installing collected packages: torch_test_cpp_extension 2025-12-04T09:43:31.8214174Z Successfully installed torch_test_cpp_extension-0.0.0 2025-12-04T09:43:32.2047379Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test 2025-12-04T09:43:34.0993423Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:43:34.1012113Z [?25hBuilding wheels for collected packages: no_python_abi_suffix_test 2025-12-04T09:43:36.2758209Z Building wheel for no_python_abi_suffix_test (pyproject.toml) ... [?25l- \ | done 2025-12-04T09:43:36.2761880Z [?25h Created wheel for no_python_abi_suffix_test: filename=no_python_abi_suffix_test-0.0.0-cp310-cp310-linux_x86_64.whl size=2944 sha256=f37259f7a58cf87b78973e497b866b4f4b3919a0691b44f90f67fa2fd0e0be03 2025-12-04T09:43:36.2763572Z Stored in directory: /tmp/pip-ephem-wheel-cache-bc0zbqfe/wheels/8c/c7/11/bcf2bfbdebb3cf78b8211ac54acc945a8fdf1732548d147a80 2025-12-04T09:43:36.2779260Z Successfully built no_python_abi_suffix_test 2025-12-04T09:43:36.6340984Z Installing collected packages: no_python_abi_suffix_test 2025-12-04T09:43:36.6454011Z Successfully installed no_python_abi_suffix_test-0.0.0 2025-12-04T09:43:36.7546593Z * Getting build dependencies for wheel... 2025-12-04T09:43:38.2440398Z running egg_info 2025-12-04T09:43:38.2523651Z creating python_agnostic.egg-info 2025-12-04T09:43:38.2524333Z writing python_agnostic.egg-info/PKG-INFO 2025-12-04T09:43:38.2528547Z writing dependency_links to python_agnostic.egg-info/dependency_links.txt 2025-12-04T09:43:38.2531214Z writing top-level names to python_agnostic.egg-info/top_level.txt 2025-12-04T09:43:38.2532827Z writing manifest file 'python_agnostic.egg-info/SOURCES.txt' 2025-12-04T09:43:38.2997736Z reading manifest file 'python_agnostic.egg-info/SOURCES.txt' 2025-12-04T09:43:38.3005620Z writing manifest file 'python_agnostic.egg-info/SOURCES.txt' 2025-12-04T09:43:38.6836611Z * Building wheel... 2025-12-04T09:43:40.1569139Z running bdist_wheel 2025-12-04T09:43:40.2191328Z running build 2025-12-04T09:43:40.2191582Z running build_ext 2025-12-04T09:43:40.2227300Z building 'python_agnostic._C' extension 2025-12-04T09:43:40.2230352Z creating /var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/build/temp.linux-x86_64-cpython-310/var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/python_agnostic/csrc 2025-12-04T09:43:52.2667072Z [1/1] /usr/local/cuda/bin/nvcc --generate-dependencies-with-compile --dependency-output /var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/build/temp.linux-x86_64-cpython-310/var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/python_agnostic/csrc/ultra_norm.o.d -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/usr/local/cuda/include -I/opt/conda/envs/py_3.10/include/python3.10 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/python_agnostic/csrc/ultra_norm.cu -o /var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/build/temp.linux-x86_64-cpython-310/var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/python_agnostic/csrc/ultra_norm.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''"'"'-fPIC'"'"'' -DTORCH_API_INCLUDE_EXTENSION_H -DPy_LIMITED_API=0x030A0000 -DTORCH_EXTENSION_NAME=_C -gencode=arch=compute_86,code=sm_86 -std=c++17 2025-12-04T09:43:52.2729765Z creating build/lib.linux-x86_64-cpython-310/python_agnostic 2025-12-04T09:43:52.2735109Z g++ -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -pthread -B /opt/conda/envs/py_3.10/compiler_compat -shared /var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/build/temp.linux-x86_64-cpython-310/var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/python_agnostic/csrc/ultra_norm.o -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -L/usr/local/cuda/lib64 -lc10 -ltorch -ltorch_cpu -lcudart -lc10_cuda -ltorch_cuda -o build/lib.linux-x86_64-cpython-310/python_agnostic/_C.so 2025-12-04T09:43:52.7449330Z installing to build/bdist.linux-x86_64/wheel 2025-12-04T09:43:52.7449667Z running install 2025-12-04T09:43:52.7497929Z running install_lib 2025-12-04T09:43:52.7574375Z creating build/bdist.linux-x86_64/wheel 2025-12-04T09:43:52.7576918Z creating build/bdist.linux-x86_64/wheel/python_agnostic 2025-12-04T09:43:52.7578254Z copying build/lib.linux-x86_64-cpython-310/python_agnostic/_C.so -> build/bdist.linux-x86_64/wheel/./python_agnostic 2025-12-04T09:43:52.7586317Z running install_egg_info 2025-12-04T09:43:52.7662425Z running egg_info 2025-12-04T09:43:52.7733243Z writing python_agnostic.egg-info/PKG-INFO 2025-12-04T09:43:52.7737288Z writing dependency_links to python_agnostic.egg-info/dependency_links.txt 2025-12-04T09:43:52.7756676Z writing top-level names to python_agnostic.egg-info/top_level.txt 2025-12-04T09:43:52.7848999Z reading manifest file 'python_agnostic.egg-info/SOURCES.txt' 2025-12-04T09:43:52.7858482Z writing manifest file 'python_agnostic.egg-info/SOURCES.txt' 2025-12-04T09:43:52.7874848Z Copying python_agnostic.egg-info to build/bdist.linux-x86_64/wheel/./python_agnostic-0.0-py3.10.egg-info 2025-12-04T09:43:52.7882361Z running install_scripts 2025-12-04T09:43:52.8013540Z creating build/bdist.linux-x86_64/wheel/python_agnostic-0.0.dist-info/WHEEL 2025-12-04T09:43:52.8017868Z creating '/var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/dist/.tmp-ubyfbm0e/python_agnostic-0.0-cp39-abi3-linux_x86_64.whl' and adding 'build/bdist.linux-x86_64/wheel' to it 2025-12-04T09:43:52.8197223Z adding 'python_agnostic/_C.so' 2025-12-04T09:43:52.8203482Z adding 'python_agnostic-0.0.dist-info/METADATA' 2025-12-04T09:43:52.8204308Z adding 'python_agnostic-0.0.dist-info/WHEEL' 2025-12-04T09:43:52.8206882Z adding 'python_agnostic-0.0.dist-info/top_level.txt' 2025-12-04T09:43:52.8207382Z adding 'python_agnostic-0.0.dist-info/RECORD' 2025-12-04T09:43:52.8207740Z removing build/bdist.linux-x86_64/wheel 2025-12-04T09:43:53.1661626Z Successfully built python_agnostic-0.0-cp39-abi3-linux_x86_64.whl 2025-12-04T09:43:53.5044379Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/libtorch_agnostic_2_9_extension 2025-12-04T09:43:55.4103930Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:43:55.4123838Z [?25hRequirement already satisfied: torch in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from libtorch_agnostic_2_9==0.0) (2.10.0a0+gitffd9b0f) 2025-12-04T09:43:55.4148789Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic_2_9==0.0) (3.18.0) 2025-12-04T09:43:55.4153454Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic_2_9==0.0) (4.12.2) 2025-12-04T09:43:55.4157853Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic_2_9==0.0) (1.13.3) 2025-12-04T09:43:55.4162509Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic_2_9==0.0) (2.8.8) 2025-12-04T09:43:55.4165851Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic_2_9==0.0) (3.1.6) 2025-12-04T09:43:55.4170236Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic_2_9==0.0) (2025.10.0) 2025-12-04T09:43:55.4561451Z 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->libtorch_agnostic_2_9==0.0) (1.3.0) 2025-12-04T09:43:55.4616974Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch->libtorch_agnostic_2_9==0.0) (3.0.3) 2025-12-04T09:43:55.4626563Z Building wheels for collected packages: libtorch_agnostic_2_9 2025-12-04T09:44:01.2622228Z Building wheel for libtorch_agnostic_2_9 (pyproject.toml) ... [?25l- \ | / done 2025-12-04T09:44:01.2629318Z [?25h Created wheel for libtorch_agnostic_2_9: filename=libtorch_agnostic_2_9-0.0-cp39-abi3-linux_x86_64.whl size=55944 sha256=006e30c55f390076240987144cb4f7f768e3b4d132be04762c6dae0b5c0bb44b 2025-12-04T09:44:01.2630516Z Stored in directory: /tmp/pip-ephem-wheel-cache-43muspho/wheels/e1/56/0d/91ac1e918c8015b48f6a77f66abeeb8427a8788f7d37715e0e 2025-12-04T09:44:01.2649038Z Successfully built libtorch_agnostic_2_9 2025-12-04T09:44:01.5826293Z Installing collected packages: libtorch_agnostic_2_9 2025-12-04T09:44:01.5980900Z Successfully installed libtorch_agnostic_2_9-0.0 2025-12-04T09:44:01.9795790Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/libtorch_agnostic_2_10_extension 2025-12-04T09:44:03.8944008Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:44:03.8964206Z [?25hRequirement already satisfied: torch in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from libtorch_agnostic_2_10==0.0) (2.10.0a0+gitffd9b0f) 2025-12-04T09:44:03.8988798Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic_2_10==0.0) (3.18.0) 2025-12-04T09:44:03.8995030Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic_2_10==0.0) (4.12.2) 2025-12-04T09:44:03.8999638Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic_2_10==0.0) (1.13.3) 2025-12-04T09:44:03.9003711Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic_2_10==0.0) (2.8.8) 2025-12-04T09:44:03.9007343Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic_2_10==0.0) (3.1.6) 2025-12-04T09:44:03.9012047Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic_2_10==0.0) (2025.10.0) 2025-12-04T09:44:03.9407787Z 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->libtorch_agnostic_2_10==0.0) (1.3.0) 2025-12-04T09:44:03.9462141Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch->libtorch_agnostic_2_10==0.0) (3.0.3) 2025-12-04T09:44:03.9471993Z Building wheels for collected packages: libtorch_agnostic_2_10 2025-12-04T09:44:10.1292898Z Building wheel for libtorch_agnostic_2_10 (pyproject.toml) ... [?25l- \ | / - \ | done 2025-12-04T09:44:10.1301468Z [?25h Created wheel for libtorch_agnostic_2_10: filename=libtorch_agnostic_2_10-0.0-cp39-abi3-linux_x86_64.whl size=83385 sha256=5cb406e8927af5fc797d393d3ebc11436bab44a0114699c446181443dfa1e7bc 2025-12-04T09:44:10.1302656Z Stored in directory: /tmp/pip-ephem-wheel-cache-5ifai9yi/wheels/03/17/c4/d9b9dbd12b271a9a317a75e944d0966701385d67eac86f2c1a 2025-12-04T09:44:10.1320236Z Successfully built libtorch_agnostic_2_10 2025-12-04T09:44:10.4418051Z Installing collected packages: libtorch_agnostic_2_10 2025-12-04T09:44:10.4564076Z Successfully installed libtorch_agnostic_2_10-0.0 2025-12-04T09:44:10.5134622Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:44:10.5137512Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cpp_extensions_aot_ninja.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:44:10.513369] 2025-12-04T09:44:14.1341877Z 2025-12-04T09:44:14.1342999Z test_cpp_extensions_aot_ninja 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_aot_ninja_1.1_47c6092781c5e5ce_.log 2025-12-04T09:44:14.1344215Z Running 0 items in this shard: 2025-12-04T09:44:14.1344490Z 2025-12-04T09:44:14.1344964Z Finished test_cpp_extensions_aot_ninja 1/1 ... [2025-12-04 09:44:14.133933][1919.935117477], took 2.21min 2025-12-04T09:44:14.1429913Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_aot_ninja/test_cpp_extensions_aot_ninja-b86892d1b9d05ecf.xml 2025-12-04T09:44:14.2102729Z Running test_cpp_extensions_aot_no_ninja 1/1 ... [2025-12-04 09:44:14.209946][1920.011130111] 2025-12-04T09:44:14.5608068Z Processing /var/lib/jenkins/workspace/test/cpp_extensions 2025-12-04T09:44:17.7606499Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:44:17.7627114Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension 2025-12-04T09:45:43.1924012Z Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - done 2025-12-04T09:45:43.2045022Z [?25h Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp310-cp310-linux_x86_64.whl size=13199657 sha256=fd2abe841147eac6b6f8bf58c1252c9163ea2809c336d4c9970fb3047e4d4215 2025-12-04T09:45:43.2048072Z Stored in directory: /tmp/pip-ephem-wheel-cache-wjyd9w79/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1 2025-12-04T09:45:43.2063952Z Successfully built torch_test_cpp_extension 2025-12-04T09:45:43.5667686Z Installing collected packages: torch_test_cpp_extension 2025-12-04T09:45:43.7846170Z Successfully installed torch_test_cpp_extension-0.0.0 2025-12-04T09:45:44.1702845Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test 2025-12-04T09:45:46.0744655Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:45:46.0766451Z [?25hBuilding wheels for collected packages: no_python_abi_suffix_test 2025-12-04T09:45:48.1609167Z Building wheel for no_python_abi_suffix_test (pyproject.toml) ... [?25l- \ done 2025-12-04T09:45:48.1616428Z [?25h Created wheel for no_python_abi_suffix_test: filename=no_python_abi_suffix_test-0.0.0-cp310-cp310-linux_x86_64.whl size=2944 sha256=52fc39baea0f6db56fb08752ed54b146a6be7658a4ccfc97026b98b7bb2d1529 2025-12-04T09:45:48.1617798Z Stored in directory: /tmp/pip-ephem-wheel-cache-7nn7d76c/wheels/8c/c7/11/bcf2bfbdebb3cf78b8211ac54acc945a8fdf1732548d147a80 2025-12-04T09:45:48.1634943Z Successfully built no_python_abi_suffix_test 2025-12-04T09:45:48.5293799Z Installing collected packages: no_python_abi_suffix_test 2025-12-04T09:45:48.5414194Z Successfully installed no_python_abi_suffix_test-0.0.0 2025-12-04T09:45:48.6497205Z * Getting build dependencies for wheel... 2025-12-04T09:45:50.1455238Z running egg_info 2025-12-04T09:45:50.1537750Z writing python_agnostic.egg-info/PKG-INFO 2025-12-04T09:45:50.1543741Z writing dependency_links to python_agnostic.egg-info/dependency_links.txt 2025-12-04T09:45:50.1545858Z writing top-level names to python_agnostic.egg-info/top_level.txt 2025-12-04T09:45:50.2019890Z reading manifest file 'python_agnostic.egg-info/SOURCES.txt' 2025-12-04T09:45:50.2029384Z writing manifest file 'python_agnostic.egg-info/SOURCES.txt' 2025-12-04T09:45:50.5856969Z * Building wheel... 2025-12-04T09:45:52.0493868Z running bdist_wheel 2025-12-04T09:45:52.1119091Z running build 2025-12-04T09:45:52.1119339Z running build_ext 2025-12-04T09:45:52.1160957Z building 'python_agnostic._C' extension 2025-12-04T09:45:52.1897854Z ninja: no work to do. 2025-12-04T09:45:52.1939078Z g++ -pthread -B /opt/conda/envs/py_3.10/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -fPIC -O2 -isystem /opt/conda/envs/py_3.10/include -pthread -B /opt/conda/envs/py_3.10/compiler_compat -shared /var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/build/temp.linux-x86_64-cpython-310/var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/python_agnostic/csrc/ultra_norm.o -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -L/usr/local/cuda/lib64 -lc10 -ltorch -ltorch_cpu -lcudart -lc10_cuda -ltorch_cuda -o build/lib.linux-x86_64-cpython-310/python_agnostic/_C.so 2025-12-04T09:45:52.6543165Z installing to build/bdist.linux-x86_64/wheel 2025-12-04T09:45:52.6544056Z running install 2025-12-04T09:45:52.6591898Z running install_lib 2025-12-04T09:45:52.6668697Z creating build/bdist.linux-x86_64/wheel 2025-12-04T09:45:52.6670620Z creating build/bdist.linux-x86_64/wheel/python_agnostic 2025-12-04T09:45:52.6672608Z copying build/lib.linux-x86_64-cpython-310/python_agnostic/_C.so -> build/bdist.linux-x86_64/wheel/./python_agnostic 2025-12-04T09:45:52.6679943Z running install_egg_info 2025-12-04T09:45:52.6760239Z running egg_info 2025-12-04T09:45:52.6835011Z writing python_agnostic.egg-info/PKG-INFO 2025-12-04T09:45:52.6838626Z writing dependency_links to python_agnostic.egg-info/dependency_links.txt 2025-12-04T09:45:52.6842286Z writing top-level names to python_agnostic.egg-info/top_level.txt 2025-12-04T09:45:52.6922293Z reading manifest file 'python_agnostic.egg-info/SOURCES.txt' 2025-12-04T09:45:52.6930898Z writing manifest file 'python_agnostic.egg-info/SOURCES.txt' 2025-12-04T09:45:52.6933770Z Copying python_agnostic.egg-info to build/bdist.linux-x86_64/wheel/./python_agnostic-0.0-py3.10.egg-info 2025-12-04T09:45:52.6940817Z running install_scripts 2025-12-04T09:45:52.7071471Z creating build/bdist.linux-x86_64/wheel/python_agnostic-0.0.dist-info/WHEEL 2025-12-04T09:45:52.7075377Z creating '/var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/dist/.tmp-tug3z8kq/python_agnostic-0.0-cp39-abi3-linux_x86_64.whl' and adding 'build/bdist.linux-x86_64/wheel' to it 2025-12-04T09:45:52.7255308Z adding 'python_agnostic/_C.so' 2025-12-04T09:45:52.7261439Z adding 'python_agnostic-0.0.dist-info/METADATA' 2025-12-04T09:45:52.7263004Z adding 'python_agnostic-0.0.dist-info/WHEEL' 2025-12-04T09:45:52.7265340Z adding 'python_agnostic-0.0.dist-info/top_level.txt' 2025-12-04T09:45:52.7265937Z adding 'python_agnostic-0.0.dist-info/RECORD' 2025-12-04T09:45:52.7267623Z removing build/bdist.linux-x86_64/wheel 2025-12-04T09:45:53.0715118Z Successfully built python_agnostic-0.0-cp39-abi3-linux_x86_64.whl 2025-12-04T09:45:53.4113331Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/libtorch_agnostic_2_9_extension 2025-12-04T09:45:55.3189625Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:45:55.3209636Z [?25hRequirement already satisfied: torch in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from libtorch_agnostic_2_9==0.0) (2.10.0a0+gitffd9b0f) 2025-12-04T09:45:55.3234646Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic_2_9==0.0) (3.18.0) 2025-12-04T09:45:55.3239757Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic_2_9==0.0) (4.12.2) 2025-12-04T09:45:55.3244668Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic_2_9==0.0) (1.13.3) 2025-12-04T09:45:55.3249661Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic_2_9==0.0) (2.8.8) 2025-12-04T09:45:55.3253333Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic_2_9==0.0) (3.1.6) 2025-12-04T09:45:55.3258325Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic_2_9==0.0) (2025.10.0) 2025-12-04T09:45:55.3647932Z 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->libtorch_agnostic_2_9==0.0) (1.3.0) 2025-12-04T09:45:55.3702714Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch->libtorch_agnostic_2_9==0.0) (3.0.3) 2025-12-04T09:45:55.3712483Z Building wheels for collected packages: libtorch_agnostic_2_9 2025-12-04T09:45:57.7819543Z Building wheel for libtorch_agnostic_2_9 (pyproject.toml) ... [?25l- \ | done 2025-12-04T09:45:57.7828580Z [?25h Created wheel for libtorch_agnostic_2_9: filename=libtorch_agnostic_2_9-0.0-cp39-abi3-linux_x86_64.whl size=55944 sha256=0b28631103e5974ad0d1c1e2404a6f48a659aba7f4fc8bd97302ab2552684308 2025-12-04T09:45:57.7830043Z Stored in directory: /tmp/pip-ephem-wheel-cache-_q2mj3t7/wheels/e1/56/0d/91ac1e918c8015b48f6a77f66abeeb8427a8788f7d37715e0e 2025-12-04T09:45:57.7846623Z Successfully built libtorch_agnostic_2_9 2025-12-04T09:45:58.1043076Z Installing collected packages: libtorch_agnostic_2_9 2025-12-04T09:45:58.1160001Z Successfully installed libtorch_agnostic_2_9-0.0 2025-12-04T09:45:58.5007260Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/libtorch_agnostic_2_10_extension 2025-12-04T09:46:00.4245596Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:46:00.4265814Z [?25hRequirement already satisfied: torch in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from libtorch_agnostic_2_10==0.0) (2.10.0a0+gitffd9b0f) 2025-12-04T09:46:00.4291358Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic_2_10==0.0) (3.18.0) 2025-12-04T09:46:00.4296287Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic_2_10==0.0) (4.12.2) 2025-12-04T09:46:00.4301303Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic_2_10==0.0) (1.13.3) 2025-12-04T09:46:00.4306054Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic_2_10==0.0) (2.8.8) 2025-12-04T09:46:00.4309735Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic_2_10==0.0) (3.1.6) 2025-12-04T09:46:00.4314663Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch->libtorch_agnostic_2_10==0.0) (2025.10.0) 2025-12-04T09:46:00.4696888Z 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->libtorch_agnostic_2_10==0.0) (1.3.0) 2025-12-04T09:46:00.4751183Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch->libtorch_agnostic_2_10==0.0) (3.0.3) 2025-12-04T09:46:00.4760210Z Building wheels for collected packages: libtorch_agnostic_2_10 2025-12-04T09:46:02.9724663Z Building wheel for libtorch_agnostic_2_10 (pyproject.toml) ... [?25l- \ | done 2025-12-04T09:46:02.9733581Z [?25h Created wheel for libtorch_agnostic_2_10: filename=libtorch_agnostic_2_10-0.0-cp39-abi3-linux_x86_64.whl size=83385 sha256=c9e5025908470e5a74a32918fa9b54ab7cfb6d341ef4c96808146d49a12775e5 2025-12-04T09:46:02.9735416Z Stored in directory: /tmp/pip-ephem-wheel-cache-6k8eczn4/wheels/03/17/c4/d9b9dbd12b271a9a317a75e944d0966701385d67eac86f2c1a 2025-12-04T09:46:02.9754110Z Successfully built libtorch_agnostic_2_10 2025-12-04T09:46:03.2930546Z Installing collected packages: libtorch_agnostic_2_10 2025-12-04T09:46:03.3068883Z Successfully installed libtorch_agnostic_2_10-0.0 2025-12-04T09:46:03.3638355Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:46:03.3643168Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cpp_extensions_aot_no_ninja.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:46:03.363925] 2025-12-04T09:46:06.9849157Z 2025-12-04T09:46:06.9850523Z test_cpp_extensions_aot_no_ninja 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_aot_no_ninja_1.1_5038b0b9d1b7c625_.log 2025-12-04T09:46:06.9851762Z Running 0 items in this shard: 2025-12-04T09:46:06.9852048Z 2025-12-04T09:46:06.9852521Z Finished test_cpp_extensions_aot_no_ninja 1/1 ... [2025-12-04 09:46:06.984506][2032.785690992], took 1.88min 2025-12-04T09:46:06.9940044Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_aot_no_ninja/test_cpp_extensions_aot_no_ninja-fd69370ca88dfb94.xml 2025-12-04T09:46:10.8403506Z Running test batch 'tests to run' cost 1105.37 seconds 2025-12-04T09:46:10.8417545Z Emitting td_test_failure_stats_v2 2025-12-04T09:46:10.8421385Z Writing 1 documents to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764841570_10a74f58d0f611f0aad80242ac110002 2025-12-04T09:46:10.9433157Z Done! Finish writing document to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764841570_10a74f58d0f611f0aad80242ac110002 2025-12-04T09:46:10.9446125Z Emitting td_test_failure_stats_v2 2025-12-04T09:46:10.9448629Z Writing 1 documents to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764841570_10b6fc28d0f611f0aad80242ac110002 2025-12-04T09:46:10.9796266Z Done! Finish writing document to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764841570_10b6fc28d0f611f0aad80242ac110002 2025-12-04T09:46:10.9797573Z test_cuda_expandable_segments 1/1 failed! 2025-12-04T09:46:10.9797913Z functorch/test_dims 1/1 failed! 2025-12-04T09:46:11.7168456Z 2025-12-04T09:46:11.7168924Z real 18m31.509s 2025-12-04T09:46:11.7169177Z user 21m19.908s 2025-12-04T09:46:11.7169385Z sys 7m31.877s 2025-12-04T09:46:11.7169594Z + assert_git_not_dirty 2025-12-04T09:46:11.7170057Z + [[ linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck != *rocm* ]] 2025-12-04T09:46:11.7170597Z + [[ linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck != *xla* ]] 2025-12-04T09:46:11.7171762Z ++ git status --porcelain 2025-12-04T09:46:11.7173485Z ++ grep -v '?? third_party' 2025-12-04T09:46:16.0126467Z ++ true 2025-12-04T09:46:16.0129871Z + git_status= 2025-12-04T09:46:16.0130368Z + [[ -n '' ]] 2025-12-04T09:46:16.0130617Z + sccache_epilogue 2025-12-04T09:46:16.0131268Z + echo '::group::Sccache Compilation Log' 2025-12-04T09:46:16.0131953Z ##[group]Sccache Compilation Log 2025-12-04T09:46:16.0132296Z + echo '=================== sccache compilation log ===================' 2025-12-04T09:46:16.0132771Z =================== sccache compilation log =================== 2025-12-04T09:46:16.0133356Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log 2025-12-04T09:46:16.0273202Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ===========' 2025-12-04T09:46:16.0273928Z =========== If your build fails, please take a look at the log above for possible reasons =========== 2025-12-04T09:46:16.0274385Z + sccache --show-stats 2025-12-04T09:46:16.0309862Z Compile requests 242 2025-12-04T09:46:16.0310213Z Compile requests executed 98 2025-12-04T09:46:16.0310513Z Cache hits 54 2025-12-04T09:46:16.0310794Z Cache hits (C/C++) 54 2025-12-04T09:46:16.0311095Z Cache misses 44 2025-12-04T09:46:16.0311384Z Cache misses (C/C++) 44 2025-12-04T09:46:16.0311681Z Cache hits rate 55.10 % 2025-12-04T09:46:16.0311983Z Cache hits rate (C/C++) 55.10 % 2025-12-04T09:46:16.0312281Z Cache timeouts 0 2025-12-04T09:46:16.0312575Z Cache read errors 0 2025-12-04T09:46:16.0312895Z Forced recaches 0 2025-12-04T09:46:16.0313341Z Cache write errors 0 2025-12-04T09:46:16.0313637Z Cache errors 0 2025-12-04T09:46:16.0313921Z Compilations 44 2025-12-04T09:46:16.0314223Z Compilation failures 0 2025-12-04T09:46:16.0314605Z Non-cacheable compilations 0 2025-12-04T09:46:16.0314909Z Non-cacheable calls 0 2025-12-04T09:46:16.0315263Z Non-compilation calls 144 2025-12-04T09:46:16.0315613Z Unsupported compiler calls 0 2025-12-04T09:46:16.0315925Z Average cache write 0.037 s 2025-12-04T09:46:16.0316234Z Average compiler 11.946 s 2025-12-04T09:46:16.0316553Z Average cache read hit 0.052 s 2025-12-04T09:46:16.0317091Z Failed distributed compilations 0 2025-12-04T09:46:16.0317528Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-12-04T09:46:16.0317962Z Version (client) 0.10.0 2025-12-04T09:46:16.0318347Z + sccache --stop-server 2025-12-04T09:46:16.0338266Z Stopping sccache server... 2025-12-04T09:46:16.0341354Z Compile requests 242 2025-12-04T09:46:16.0341737Z Compile requests executed 98 2025-12-04T09:46:16.0342077Z Cache hits 54 2025-12-04T09:46:16.0342379Z Cache hits (C/C++) 54 2025-12-04T09:46:16.0342685Z Cache misses 44 2025-12-04T09:46:16.0342993Z Cache misses (C/C++) 44 2025-12-04T09:46:16.0343316Z Cache hits rate 55.10 % 2025-12-04T09:46:16.0343637Z Cache hits rate (C/C++) 55.10 % 2025-12-04T09:46:16.0343956Z Cache timeouts 0 2025-12-04T09:46:16.0344263Z Cache read errors 0 2025-12-04T09:46:16.0344577Z Forced recaches 0 2025-12-04T09:46:16.0344887Z Cache write errors 0 2025-12-04T09:46:16.0345193Z Cache errors 0 2025-12-04T09:46:16.0345535Z Compilations 44 2025-12-04T09:46:16.0345966Z Compilation failures 0 2025-12-04T09:46:16.0346382Z Non-cacheable compilations 0 2025-12-04T09:46:16.0346785Z Non-cacheable calls 0 2025-12-04T09:46:16.0347223Z Non-compilation calls 144 2025-12-04T09:46:16.0347607Z Unsupported compiler calls 0 2025-12-04T09:46:16.0347933Z Average cache write 0.037 s 2025-12-04T09:46:16.0348449Z Average compiler 11.946 s 2025-12-04T09:46:16.0348779Z Average cache read hit 0.052 s 2025-12-04T09:46:16.0349112Z Failed distributed compilations 0 2025-12-04T09:46:16.0349563Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-12-04T09:46:16.0350010Z Version (client) 0.10.0 2025-12-04T09:46:16.0350329Z + echo ::endgroup:: 2025-12-04T09:46:16.0350763Z ##[endgroup] 2025-12-04T09:46:16.0351001Z + cleanup_workspace 2025-12-04T09:46:16.0351475Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.' 2025-12-04T09:46:16.0352217Z sudo may print the following warning message that can be ignored. The chown command will still run. 2025-12-04T09:46:16.0352818Z + echo ' sudo: setrlimit(RLIMIT_STACK): Operation not permitted' 2025-12-04T09:46:16.0353266Z sudo: setrlimit(RLIMIT_STACK): Operation not permitted 2025-12-04T09:46:16.0353787Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42' 2025-12-04T09:46:16.0354367Z For more details refer to https://github.com/sudo-project/sudo/issues/42 2025-12-04T09:46:16.0354822Z + sudo chown -R 1000 /var/lib/jenkins/workspace 2025-12-04T09:46:17.1072792Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main 2025-12-04T09:46:17.1073237Z with: 2025-12-04T09:46:17.1073474Z benchmark-results-dir: test/test-reports 2025-12-04T09:46:17.1073781Z dry-run: false 2025-12-04T09:46:17.1073999Z schema-version: v3 2025-12-04T09:46:17.1074419Z github-token: *** 2025-12-04T09:46:17.1074640Z env: 2025-12-04T09:46:17.1074840Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:46:17.1075097Z HAS_NVIDIA_GPU: true 2025-12-04T09:46:17.1075403Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:46:17.1075920Z DOCKER_CONTAINER_ID: e1d3505956b19aa2304f0033887702c0bb4bb6f4f2a2baedd42f4edc67ea0832 2025-12-04T09:46:17.1076390Z ##[endgroup] 2025-12-04T09:46:17.1095082Z ##[group]Run set -eux 2025-12-04T09:46:17.1095357Z set -eux 2025-12-04T09:46:17.1095576Z  2025-12-04T09:46:17.1095778Z if [[ -n "" ]]; then 2025-12-04T09:46:17.1096034Z  source "" 2025-12-04T09:46:17.1096292Z fi 2025-12-04T09:46:17.1096619Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-12-04T09:46:17.1097014Z  2025-12-04T09:46:17.1097221Z DEVICE_NAME="" 2025-12-04T09:46:17.1097461Z DEVICE_TYPE="" 2025-12-04T09:46:17.1097706Z  2025-12-04T09:46:17.1097937Z if command -v nvidia-smi; then 2025-12-04T09:46:17.1098352Z  # NB: I'm using PyTorch here to get the device name, however, it needs to 2025-12-04T09:46:17.1098905Z  # install the correct version of PyTorch manually for now. Any PyTorch 2025-12-04T09:46:17.1099403Z  # version is fine, I just use 2.7.1 to satify PYPIDEP linter 2025-12-04T09:46:17.1099808Z  python3 -mpip install torch==2.7.1 2025-12-04T09:46:17.1100132Z elif command -v rocminfo; then 2025-12-04T09:46:17.1100544Z  # NB: Installing torch on ROCm runner with pip here causes CI to fail 2025-12-04T09:46:17.1101061Z  # with a memoryview is too large error only on MI300 runners. Is pip 2025-12-04T09:46:17.1101578Z  # version on ROCm runner there too old? As a workaround, let's use the 2025-12-04T09:46:17.1102037Z  # GPU device name coming from rocminfo instead 2025-12-04T09:46:17.1102377Z  DEVICE_NAME=rocm 2025-12-04T09:46:17.1102824Z  DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs) 2025-12-04T09:46:17.1103277Z fi 2025-12-04T09:46:17.1103476Z  2025-12-04T09:46:17.1103730Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV 2025-12-04T09:46:17.1104118Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-12-04T09:46:17.1119476Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:46:17.1119984Z env: 2025-12-04T09:46:17.1120180Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:46:17.1120426Z HAS_NVIDIA_GPU: true 2025-12-04T09:46:17.1120724Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:46:17.1121239Z DOCKER_CONTAINER_ID: e1d3505956b19aa2304f0033887702c0bb4bb6f4f2a2baedd42f4edc67ea0832 2025-12-04T09:46:17.1121687Z ##[endgroup] 2025-12-04T09:46:17.1161916Z + [[ -n '' ]] 2025-12-04T09:46:17.1162280Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-12-04T09:46:17.3600552Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T09:46:18.6285862Z Collecting boto3==1.35.33 2025-12-04T09:46:18.6454822Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-12-04T09:46:19.0102943Z Collecting psutil==7.0.0 2025-12-04T09:46:19.0143841Z Downloading psutil-7.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (277 kB) 2025-12-04T09:46:19.0437490Z Collecting pynvml==12.0.0 2025-12-04T09:46:19.0472859Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-12-04T09:46:19.0552085Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.33) (0.10.0) 2025-12-04T09:46:20.4478926Z Collecting botocore<1.36.0,>=1.35.33 2025-12-04T09:46:20.4519744Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-12-04T09:46:20.6375066Z Collecting s3transfer<0.11.0,>=0.10.0 2025-12-04T09:46:20.6409106Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-12-04T09:46:20.6928782Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-12-04T09:46:20.6965556Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-12-04T09:46:20.7066003Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.25.10) 2025-12-04T09:46:20.7071177Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (2.8.1) 2025-12-04T09:46:20.8992463Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.15.0) 2025-12-04T09:46:21.0396990Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-12-04T09:46:21.6086499Z Attempting uninstall: nvidia-ml-py 2025-12-04T09:46:21.6087289Z Found existing installation: nvidia-ml-py 11.525.84 2025-12-04T09:46:21.6102585Z Uninstalling nvidia-ml-py-11.525.84: 2025-12-04T09:46:21.6358929Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-12-04T09:46:21.6971633Z Attempting uninstall: psutil 2025-12-04T09:46:21.6972002Z Found existing installation: psutil 5.9.8 2025-12-04T09:46:21.7061634Z Uninstalling psutil-5.9.8: 2025-12-04T09:46:21.7069281Z Successfully uninstalled psutil-5.9.8 2025-12-04T09:46:21.8785815Z Successfully installed boto3-1.35.33 botocore-1.35.99 nvidia-ml-py-12.575.51 psutil-7.0.0 pynvml-12.0.0 s3transfer-0.10.4 2025-12-04T09:46:22.0136493Z + DEVICE_NAME= 2025-12-04T09:46:22.0136768Z + DEVICE_TYPE= 2025-12-04T09:46:22.0137775Z + command -v nvidia-smi 2025-12-04T09:46:22.0138588Z /usr/bin/nvidia-smi 2025-12-04T09:46:22.0139290Z + python3 -mpip install torch==2.7.1 2025-12-04T09:46:22.2526158Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T09:46:22.5539596Z Collecting torch==2.7.1 2025-12-04T09:46:22.5716623Z Downloading torch-2.7.1-cp39-cp39-manylinux_2_28_x86_64.whl (821.1 MB) 2025-12-04T09:46:35.3563846Z Collecting nvidia-cusolver-cu12==11.7.1.2 2025-12-04T09:46:35.3599348Z Downloading nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (158.2 MB) 2025-12-04T09:46:37.0046502Z Collecting nvidia-nccl-cu12==2.26.2 2025-12-04T09:46:37.0079940Z Downloading nvidia_nccl_cu12-2.26.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (201.3 MB) 2025-12-04T09:46:39.3882008Z Collecting nvidia-cuda-runtime-cu12==12.6.77 2025-12-04T09:46:39.3942294Z Downloading nvidia_cuda_runtime_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (897 kB) 2025-12-04T09:46:39.4526148Z Collecting nvidia-cudnn-cu12==9.5.1.17 2025-12-04T09:46:39.4563094Z Downloading nvidia_cudnn_cu12-9.5.1.17-py3-none-manylinux_2_28_x86_64.whl (571.0 MB) 2025-12-04T09:46:47.8503625Z Requirement already satisfied: jinja2 in /usr/lib/python3.9/site-packages (from torch==2.7.1) (2.11.3) 2025-12-04T09:46:47.8836600Z Collecting nvidia-cuda-nvrtc-cu12==12.6.77 2025-12-04T09:46:47.8891431Z Downloading nvidia_cuda_nvrtc_cu12-12.6.77-py3-none-manylinux2014_x86_64.whl (23.7 MB) 2025-12-04T09:46:48.1648322Z Collecting nvidia-cusparse-cu12==12.5.4.2 2025-12-04T09:46:48.1681722Z Downloading nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (216.6 MB) 2025-12-04T09:46:50.7368692Z Collecting nvidia-cufile-cu12==1.11.1.6 2025-12-04T09:46:50.7401814Z Downloading nvidia_cufile_cu12-1.11.1.6-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (1.1 MB) 2025-12-04T09:46:50.7830413Z Collecting nvidia-curand-cu12==10.3.7.77 2025-12-04T09:46:50.7866605Z Downloading nvidia_curand_cu12-10.3.7.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (56.3 MB) 2025-12-04T09:46:51.3701512Z Collecting nvidia-nvjitlink-cu12==12.6.85 2025-12-04T09:46:51.3734609Z Downloading nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl (19.7 MB) 2025-12-04T09:46:51.5758672Z Collecting nvidia-cusparselt-cu12==0.6.3 2025-12-04T09:46:51.5791847Z Downloading nvidia_cusparselt_cu12-0.6.3-py3-none-manylinux2014_x86_64.whl (156.8 MB) 2025-12-04T09:46:53.2446865Z Collecting sympy>=1.13.3 2025-12-04T09:46:53.2480735Z Downloading sympy-1.14.0-py3-none-any.whl (6.3 MB) 2025-12-04T09:46:53.3406791Z Collecting nvidia-cuda-cupti-cu12==12.6.80 2025-12-04T09:46:53.3440522Z Downloading nvidia_cuda_cupti_cu12-12.6.80-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (8.9 MB) 2025-12-04T09:46:53.4879161Z Collecting fsspec 2025-12-04T09:46:53.4911500Z Downloading fsspec-2025.10.0-py3-none-any.whl (200 kB) 2025-12-04T09:46:53.5434803Z Collecting triton==3.3.1 2025-12-04T09:46:53.5531823Z Downloading triton-3.3.1-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (155.6 MB) 2025-12-04T09:46:55.1709739Z Collecting filelock 2025-12-04T09:46:55.1741678Z Downloading filelock-3.19.1-py3-none-any.whl (15 kB) 2025-12-04T09:46:55.2091451Z Collecting nvidia-nvtx-cu12==12.6.77 2025-12-04T09:46:55.2122080Z Downloading nvidia_nvtx_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (89 kB) 2025-12-04T09:46:55.2485298Z Collecting nvidia-cufft-cu12==11.3.0.4 2025-12-04T09:46:55.2519046Z Downloading nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (200.2 MB) 2025-12-04T09:46:57.7124367Z Collecting networkx 2025-12-04T09:46:57.7158580Z Downloading networkx-3.2.1-py3-none-any.whl (1.6 MB) 2025-12-04T09:46:57.7682257Z Collecting nvidia-cublas-cu12==12.6.4.1 2025-12-04T09:46:57.7719145Z Downloading nvidia_cublas_cu12-12.6.4.1-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (393.1 MB) 2025-12-04T09:47:03.0564601Z Requirement already satisfied: typing-extensions>=4.10.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from torch==2.7.1) (4.15.0) 2025-12-04T09:47:03.0845037Z Requirement already satisfied: setuptools>=40.8.0 in /usr/lib/python3.9/site-packages (from triton==3.3.1->torch==2.7.1) (59.6.0) 2025-12-04T09:47:03.1168447Z Collecting mpmath<1.4,>=1.1.0 2025-12-04T09:47:03.1199609Z Downloading mpmath-1.3.0-py3-none-any.whl (536 kB) 2025-12-04T09:47:03.2152265Z Requirement already satisfied: MarkupSafe>=0.23 in /usr/lib64/python3.9/site-packages (from jinja2->torch==2.7.1) (1.1.1) 2025-12-04T09:47:03.5735190Z Installing collected packages: nvidia-nvjitlink-cu12, nvidia-cusparse-cu12, nvidia-cublas-cu12, mpmath, triton, sympy, nvidia-nvtx-cu12, nvidia-nccl-cu12, nvidia-cusparselt-cu12, nvidia-cusolver-cu12, nvidia-curand-cu12, nvidia-cufile-cu12, nvidia-cufft-cu12, nvidia-cudnn-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, networkx, fsspec, filelock, torch 2025-12-04T09:47:12.9376841Z WARNING: The scripts proton and proton-viewer are installed in '/home/ec2-user/.local/bin' which is not on PATH. 2025-12-04T09:47:12.9377957Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-12-04T09:47:17.0028107Z WARNING: The script isympy is installed in '/home/ec2-user/.local/bin' which is not on PATH. 2025-12-04T09:47:17.0029039Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-12-04T09:47:48.2811793Z WARNING: The scripts torchfrtrace and torchrun are installed in '/home/ec2-user/.local/bin' which is not on PATH. 2025-12-04T09:47:48.2812911Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-12-04T09:47:48.3835109Z Successfully installed filelock-3.19.1 fsspec-2025.10.0 mpmath-1.3.0 networkx-3.2.1 nvidia-cublas-cu12-12.6.4.1 nvidia-cuda-cupti-cu12-12.6.80 nvidia-cuda-nvrtc-cu12-12.6.77 nvidia-cuda-runtime-cu12-12.6.77 nvidia-cudnn-cu12-9.5.1.17 nvidia-cufft-cu12-11.3.0.4 nvidia-cufile-cu12-1.11.1.6 nvidia-curand-cu12-10.3.7.77 nvidia-cusolver-cu12-11.7.1.2 nvidia-cusparse-cu12-12.5.4.2 nvidia-cusparselt-cu12-0.6.3 nvidia-nccl-cu12-2.26.2 nvidia-nvjitlink-cu12-12.6.85 nvidia-nvtx-cu12-12.6.77 sympy-1.14.0 torch-2.7.1 triton-3.3.1 2025-12-04T09:47:49.0754225Z + echo DEVICE_NAME= 2025-12-04T09:47:49.0754595Z + echo DEVICE_TYPE= 2025-12-04T09:47:49.0782908Z ##[group]Run set -eux 2025-12-04T09:47:49.0783173Z set -eux 2025-12-04T09:47:49.0783407Z  2025-12-04T09:47:49.0783653Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-12-04T09:47:49.0784007Z  echo "Missing github-token input" 2025-12-04T09:47:49.0784322Z  exit 1 2025-12-04T09:47:49.0784564Z fi 2025-12-04T09:47:49.0794860Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:47:49.0795225Z env: 2025-12-04T09:47:49.0795455Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:47:49.0795740Z HAS_NVIDIA_GPU: true 2025-12-04T09:47:49.0796053Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:47:49.0796587Z DOCKER_CONTAINER_ID: e1d3505956b19aa2304f0033887702c0bb4bb6f4f2a2baedd42f4edc67ea0832 2025-12-04T09:47:49.0797070Z DEVICE_NAME: 2025-12-04T09:47:49.0797301Z DEVICE_TYPE: 2025-12-04T09:47:49.0797711Z GITHUB_TOKEN: *** 2025-12-04T09:47:49.0797950Z ##[endgroup] 2025-12-04T09:47:49.0831615Z + [[ -z *** ]] 2025-12-04T09:47:49.0872109Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-12-04T09:47:49.0872509Z with: 2025-12-04T09:47:49.0872831Z github-token: *** 2025-12-04T09:47:49.0873039Z env: 2025-12-04T09:47:49.0873240Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:47:49.0873487Z HAS_NVIDIA_GPU: true 2025-12-04T09:47:49.0873785Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:47:49.0874303Z DOCKER_CONTAINER_ID: e1d3505956b19aa2304f0033887702c0bb4bb6f4f2a2baedd42f4edc67ea0832 2025-12-04T09:47:49.0874770Z DEVICE_NAME: 2025-12-04T09:47:49.0874979Z DEVICE_TYPE: 2025-12-04T09:47:49.0875181Z ##[endgroup] 2025-12-04T09:47:49.0890465Z ##[group]Run set -eux 2025-12-04T09:47:49.0890705Z set -eux 2025-12-04T09:47:49.0890920Z  2025-12-04T09:47:49.0891359Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-12-04T09:47:49.0899935Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:47:49.0900283Z env: 2025-12-04T09:47:49.0900487Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:47:49.0900739Z HAS_NVIDIA_GPU: true 2025-12-04T09:47:49.0901026Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:47:49.0901538Z DOCKER_CONTAINER_ID: e1d3505956b19aa2304f0033887702c0bb4bb6f4f2a2baedd42f4edc67ea0832 2025-12-04T09:47:49.0902194Z DEVICE_NAME: 2025-12-04T09:47:49.0902401Z DEVICE_TYPE: 2025-12-04T09:47:49.0902740Z GITHUB_TOKEN: *** 2025-12-04T09:47:49.0902962Z ##[endgroup] 2025-12-04T09:47:49.0935632Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 19922826259 i-0685a2a28d389e1fa 2025-12-04T09:47:51.3939568Z setting job-id=57118183233 2025-12-04T09:47:51.3940515Z setting job-name=linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck / test (default, 8, 8, linux.g5.4xlarge.nvidia.gpu, module:slowgradcheck, rerun_disabled_tests) 2025-12-04T09:47:51.4062035Z ##[group]Run set -eux 2025-12-04T09:47:51.4062291Z set -eux 2025-12-04T09:47:51.4062503Z  2025-12-04T09:47:51.4062708Z if [[ -n "" ]]; then 2025-12-04T09:47:51.4062962Z  source "" 2025-12-04T09:47:51.4063178Z fi 2025-12-04T09:47:51.4063376Z  2025-12-04T09:47:51.4063748Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-12-04T09:47:51.4064231Z  --schema-version "${SCHEMA_VERSION}" \ 2025-12-04T09:47:51.4064768Z  --repo "${REPO}" \ 2025-12-04T09:47:51.4065063Z  --head-branch "${HEAD_BRANCH}" \ 2025-12-04T09:47:51.4065377Z  --head-sha "${HEAD_SHA}" \ 2025-12-04T09:47:51.4065701Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-12-04T09:47:51.4066042Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-12-04T09:47:51.4066354Z  --job-id "${JOB_ID}" \ 2025-12-04T09:47:51.4066630Z  --job-name "${JOB_NAME}" 2025-12-04T09:47:51.4075960Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:47:51.4076305Z env: 2025-12-04T09:47:51.4076513Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:47:51.4076799Z HAS_NVIDIA_GPU: true 2025-12-04T09:47:51.4077099Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:47:51.4077827Z DOCKER_CONTAINER_ID: e1d3505956b19aa2304f0033887702c0bb4bb6f4f2a2baedd42f4edc67ea0832 2025-12-04T09:47:51.4078521Z DEVICE_NAME: 2025-12-04T09:47:51.4078770Z DEVICE_TYPE: 2025-12-04T09:47:51.4078987Z SCHEMA_VERSION: v3 2025-12-04T09:47:51.4079227Z REPO: pytorch/pytorch 2025-12-04T09:47:51.4079473Z HEAD_BRANCH: refs/heads/main 2025-12-04T09:47:51.4079783Z HEAD_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:47:51.4080110Z WORKFLOW_RUN_ID: 19922826259 2025-12-04T09:47:51.4080367Z RUN_ATTEMPT: 1 2025-12-04T09:47:51.4080577Z JOB_ID: 57118183233 2025-12-04T09:47:51.4081224Z JOB_NAME: linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck / test (default, 8, 8, linux.g5.4xlarge.nvidia.gpu, module:slowgradcheck, rerun_disabled_tests) 2025-12-04T09:47:51.4081912Z ##[endgroup] 2025-12-04T09:47:51.4113495Z + [[ -n '' ]] 2025-12-04T09:47:51.4115815Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_metadata.py --schema-version v3 --repo pytorch/pytorch --head-branch refs/heads/main --head-sha ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 --workflow-id 19922826259 --run-attempt 1 --job-id 57118183233 --job-name 'linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck / test (default, 8, 8, linux.g5.4xlarge.nvidia.gpu, module:slowgradcheck, rerun_disabled_tests)' 2025-12-04T09:47:51.4613265Z ##[group]Run set -eux 2025-12-04T09:47:51.4613526Z set -eux 2025-12-04T09:47:51.4613747Z  2025-12-04T09:47:51.4613949Z if [[ -n "" ]]; then 2025-12-04T09:47:51.4614214Z  source "" 2025-12-04T09:47:51.4614439Z fi 2025-12-04T09:47:51.4614634Z  2025-12-04T09:47:51.4615000Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-12-04T09:47:51.4624227Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:47:51.4624578Z env: 2025-12-04T09:47:51.4624798Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:47:51.4625249Z HAS_NVIDIA_GPU: true 2025-12-04T09:47:51.4625551Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:47:51.4626068Z DOCKER_CONTAINER_ID: e1d3505956b19aa2304f0033887702c0bb4bb6f4f2a2baedd42f4edc67ea0832 2025-12-04T09:47:51.4626539Z DEVICE_NAME: 2025-12-04T09:47:51.4626766Z DEVICE_TYPE: 2025-12-04T09:47:51.4626972Z ##[endgroup] 2025-12-04T09:47:51.4657481Z + [[ -n '' ]] 2025-12-04T09:47:51.4658225Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-12-04T09:47:52.4821760Z /home/ec2-user/.local/lib/python3.9/site-packages/torch/_subclasses/functional_tensor.py:276: UserWarning: Failed to initialize NumPy: No module named 'numpy' (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:81.) 2025-12-04T09:47:52.4823966Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-12-04T09:47:53.4576525Z ##[group]Run set -eux 2025-12-04T09:47:53.4576792Z set -eux 2025-12-04T09:47:53.4577003Z  2025-12-04T09:47:53.4577238Z # TODO (huydhn): Implement this part 2025-12-04T09:47:53.4577600Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:47:53.4586765Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:47:53.4587119Z env: 2025-12-04T09:47:53.4587330Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:47:53.4587577Z HAS_NVIDIA_GPU: true 2025-12-04T09:47:53.4587905Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:47:53.4588663Z DOCKER_CONTAINER_ID: e1d3505956b19aa2304f0033887702c0bb4bb6f4f2a2baedd42f4edc67ea0832 2025-12-04T09:47:53.4589123Z DEVICE_NAME: 2025-12-04T09:47:53.4589340Z DEVICE_TYPE: 2025-12-04T09:47:53.4589549Z ##[endgroup] 2025-12-04T09:47:53.4619920Z + echo 'dependencies={}' 2025-12-04T09:47:53.4661176Z ##[group]Run set -eux 2025-12-04T09:47:53.4661430Z set -eux 2025-12-04T09:47:53.4661646Z  2025-12-04T09:47:53.4661865Z if [[ -n "" ]]; then 2025-12-04T09:47:53.4662112Z  source "" 2025-12-04T09:47:53.4662335Z fi 2025-12-04T09:47:53.4662536Z  2025-12-04T09:47:53.4662792Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-12-04T09:47:53.4665312Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-12-04T09:47:53.4665768Z  # We don't want the job to fail if the directory doesn't exist 2025-12-04T09:47:53.4666125Z  exit 0 2025-12-04T09:47:53.4666347Z fi 2025-12-04T09:47:53.4666544Z  2025-12-04T09:47:53.4666762Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-12-04T09:47:53.4667217Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-12-04T09:47:53.4667740Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-12-04T09:47:53.4668145Z  --metadata "${BENCHMARK_METADATA}" \ 2025-12-04T09:47:53.4668483Z  --runners "${RUNNER_INFO}" \ 2025-12-04T09:47:53.4668813Z  --dependencies "${DEPENDENCIES}" \ 2025-12-04T09:47:53.4669126Z  --dry-run 2025-12-04T09:47:53.4669352Z else 2025-12-04T09:47:53.4669712Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-12-04T09:47:53.4670241Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-12-04T09:47:53.4670636Z  --metadata "${BENCHMARK_METADATA}" \ 2025-12-04T09:47:53.4670969Z  --runners "${RUNNER_INFO}" \ 2025-12-04T09:47:53.4671303Z  --dependencies "${DEPENDENCIES}" 2025-12-04T09:47:53.4671598Z fi 2025-12-04T09:47:53.4679831Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:47:53.4680188Z env: 2025-12-04T09:47:53.4680390Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:47:53.4680651Z HAS_NVIDIA_GPU: true 2025-12-04T09:47:53.4680960Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:47:53.4681582Z DOCKER_CONTAINER_ID: e1d3505956b19aa2304f0033887702c0bb4bb6f4f2a2baedd42f4edc67ea0832 2025-12-04T09:47:53.4682045Z DEVICE_NAME: 2025-12-04T09:47:53.4682273Z DEVICE_TYPE: 2025-12-04T09:47:53.4682526Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-12-04T09:47:53.4682848Z DRY_RUN: false 2025-12-04T09:47:53.4684289Z BENCHMARK_METADATA: {"timestamp": 1764841671, "schema_version": "v3", "name": "linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck / test (default, 8, 8, linux.g5.4xlarge.nvidia.gpu, module:slowgradcheck, rerun_disabled_tests)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19922826259, "run_attempt": 1, "job_id": 57118183233} 2025-12-04T09:47:53.4686245Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 62, "extra_info": {"hostname": "ip-10-0-70-39.ec2.internal"}, "name": "cuda", "type": "NVIDIA A10G", "gpu_count": 1, "avail_gpu_mem_in_gb": 22}] 2025-12-04T09:47:53.4686986Z DEPENDENCIES: {} 2025-12-04T09:47:53.4687221Z ##[endgroup] 2025-12-04T09:47:53.4715547Z + [[ -n '' ]] 2025-12-04T09:47:53.4716091Z + [[ ! -d test/test-reports ]] 2025-12-04T09:47:53.4716512Z + [[ false == \t\r\u\e ]] 2025-12-04T09:47:53.4720380Z + 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": 1764841671, "schema_version": "v3", "name": "linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck / test (default, 8, 8, linux.g5.4xlarge.nvidia.gpu, module:slowgradcheck, rerun_disabled_tests)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19922826259, "run_attempt": 1, "job_id": 57118183233}' --runners '[{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 62, "extra_info": {"hostname": "ip-10-0-70-39.ec2.internal"}, "name": "cuda", "type": "NVIDIA A10G", "gpu_count": 1, "avail_gpu_mem_in_gb": 22}]' --dependencies '{}' 2025-12-04T09:47:53.6328430Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'inductor/test_aot_inductor'}, {'test_file': 'inductor/test_torchinductor'}, {'test_file': 'inductor/test_torchinductor_dynamic_shapes'}, {'test_file': 'inductor/test_torchinductor_codegen_dynamic_shapes'}, {'test_file': 'inductor/test_kernel_benchmark'}, {'test_file': 'inductor/test_torchinductor_opinfo'}, {'test_file': 'inductor/test_pattern_matcher'}, {'test_file': 'inductor/test_cuda_repro'}, {'test_file': 'inductor/test_cudagraph_trees'}, {'test_file': 'dynamo/test_activation_checkpointing'}, {'test_file': 'dynamo/test_logging'}, {'test_file': 'dynamo/test_repros'}, {'test_file': 'inductor/test_flex_attention'}, {'test_file': 'inductor/test_cuda_select_algorithm'}, {'test_file': 'inductor/test_compile_subprocess'}, {'test_file': 'inductor/test_flex_decoding'}, {'test_file': 'inductor/test_deterministic'}, {'test_file': 'export/test_retraceability'}, {'test_file': 'inductor/test_fp8'}, {'test_file': 'dynamo/test_model_output'}, {'test_file': 'inductor/test_triton_kernels'}, {'test_file': 'inductor/test_extension_backend'}, {'test_file': 'inductor/test_native_matmul'}, {'test_file': 'inductor/test_loop_ordering'}, {'test_file': 'export/test_serdes'}, {'test_file': 'dynamo/test_regional_inductor'}, {'test_file': 'dynamo/test_fx_graph_runnable'}, {'test_file': 'dynamo/test_backends'}, {'test_file': 'inductor/test_aot_inductor_package'}, {'test_file': 'inductor/test_decompose_mem_bound_mm'}, {'test_file': 'inductor/test_op_dtype_prop'}, {'test_file': 'inductor/test_online_softmax'}, {'test_file': 'inductor/test_memory'}, {'test_file': 'dynamo/test_streams'}, {'test_file': 'inductor/test_unbacked_symints'}, {'test_file': 'inductor/test_scatter_optimization'}, {'test_file': 'inductor/test_mix_order_reduction'}, {'test_file': 'inductor/test_padding'}, {'test_file': 'dynamo/test_aot_compile'}, {'test_file': 'dynamo/test_sets'}, {'test_file': 'dynamo/test_wrap_inductor_compiled_regions'}, {'test_file': 'dynamo/test_callback'}, {'test_file': 'dynamo/test_compiler_bisector'}, {'test_file': 'inductor/test_custom_op_autotune'}, {'test_file': 'inductor/test_cudagraph_trees_expandable_segments'}, {'test_file': 'dynamo/test_decorators'}, {'test_file': 'test_privateuseone_python_backend'}, {'test_file': 'inductor/test_collective_autotuning'}, {'test_file': 'test_varlen_attention'}, {'test_file': 'test_cuda'}, {'test_file': 'test_transformers'}, {'test_file': 'test_autograd'}, {'test_file': 'test_sparse'}, {'test_file': 'higher_order_ops/test_local_map'}, {'test_file': 'test_dataloader'}, {'test_file': 'higher_order_ops/test_invoke_subgraph'}, {'test_file': 'test_ci_sanity_check_fail'}, {'test_file': 'test_ops_fwd_gradients'}, {'test_file': 'test_ops_gradients'}, {'test_file': 'test_nestedtensor'}, {'test_file': 'test_linalg'}, {'test_file': 'test_cuda_expandable_segments'}, {'test_file': 'test_public_bindings'}, {'test_file': 'functorch/test_dims'}, {'test_file': 'test_sparse_csr'}, {'test_file': 'functorch/test_ops'}, {'test_file': 'functorch/test_vmap'}, {'test_file': 'test_overrides'}, {'test_file': 'test_torchfuzz_repros'}, {'test_file': 'inductor/test_group_batch_fusion'}, {'test_file': 'dynamo/test_dynamic_shapes'}, {'test_file': 'inductor/test_cpu_repro'}, {'test_file': 'dynamo/test_after_aot'}, {'test_file': 'inductor/test_snode_runtime'}, {'test_file': 'inductor/test_minifier'}, {'test_file': 'inductor/test_compiled_autograd'}, {'test_file': 'inductor/test_custom_lowering'}, {'test_file': 'inductor/test_perf'}, {'test_file': 'inductor/test_fused_attention'}, {'test_file': 'inductor/test_binary_folding'}, {'test_file': 'inductor/test_mkldnn_pattern_matcher'}, {'test_file': 'inductor/test_inductor_freezing'}, {'test_file': 'inductor/test_layout_optim'}, {'test_file': 'dynamo/test_unspec'}, {'test_file': 'dynamo/test_higher_order_ops'}, {'test_file': 'inductor/test_mmdecomp'}, {'test_file': 'dynamo/test_ctx_manager'}, {'test_file': 'dynamo/test_exc'}, {'test_file': 'dynamo/test_misc'}, {'test_file': 'inductor/test_cpu_select_algorithm'}, {'test_file': 'inductor/test_aot_inductor_arrayref'}, {'test_file': 'inductor/test_cpu_cpp_wrapper'}, {'test_file': 'inductor/test_triton_cpu_backend'}, {'test_file': 'inductor/test_torchinductor_strided_blocks'}, {'test_file': 'test_custom_ops'}, {'test_file': 'test_content_store'}, {'test_file': 'inductor/test_halide'}, {'test_file': 'inductor/test_multi_kernel'}, {'test_file': 'inductor/test_analysis'}, {'test_file': 'inductor/test_pad_mm'}, {'test_file': 'inductor/test_triton_syntax'}, {'test_file': 'inductor/test_triton_extension_backend'}, {'test_file': 'test_sparse_semi_structured'}, {'test_file': 'inductor/test_op_completeness'}, {'test_file': 'inductor/test_subgraph_choice'}, {'test_file': 'inductor/test_b2b_gemm'}, {'test_file': 'inductor/test_triton_heuristics'}, {'test_file': 'inductor/test_cutedsl_grouped_mm'}, {'test_file': 'inductor/test_cpp_wrapper_hipify'}, {'test_file': 'inductor/test_ck_backend'}, {'test_file': 'inductor/test_inductor_utils'}, {'test_file': 'inductor/test_template_heuristics_registry'}, {'test_file': 'inductor/test_async_compile'}, {'test_file': 'inductor/test_gpu_cpp_wrapper'}, {'test_file': 'export/test_export_training_ir_to_run_decomp'}, {'test_file': 'dynamo/test_deque_reconstruct'}, {'test_file': 'inductor/test_utils'}, {'test_file': 'inductor/test_indexing'}, {'test_file': 'inductor/test_inductor_annotations'}, {'test_file': 'inductor/test_compile_worker'}, {'test_file': 'dynamo/test_einops'}, {'test_file': 'inductor/test_external_callables'}, {'test_file': 'test_testing'}, {'test_file': 'dynamo/test_fx_passes_pre_grad'}, {'test_file': 'inductor/test_autoheuristic'}, {'test_file': 'export/test_strict_export_v2'}, {'test_file': 'inductor/test_flex_flash'}, {'test_file': 'inductor/test_segmented_tree'}, {'test_file': 'inductor/test_kernel_optimization'}, {'test_file': 'inductor/test_metrics'}, {'test_file': 'export/test_unflatten_training_ir'}, {'test_file': 'inductor/test_fx_fusion'}, {'test_file': 'inductor/test_xpu_basic'}, {'test_file': 'dynamo/test_inline_and_install'}, {'test_file': 'export/test_functionalized_assertions'}, {'test_file': 'inductor/test_selective_lowering'}, {'test_file': 'dynamo/test_base_output'}, {'test_file': 'inductor/test_lookup_table'}, {'test_file': 'inductor/test_cooperative_reductions'}, {'test_file': 'export/test_serialize'}, {'test_file': 'inductor/test_cutedsl_template'}, {'test_file': 'inductor/test_benchmark_fusion'}, {'test_file': 'inductor/test_inductor_scheduler'}, {'test_file': 'inductor/test_move_constructors_to_gpu'}, {'test_file': 'export/test_export_strict'}, {'test_file': 'dynamo/test_modules'}, {'test_file': 'inductor/test_remote_cache'}, {'test_file': 'inductor/test_coordinate_descent_tuner'}, {'test_file': 'inductor/test_inplace_padding'}, {'test_file': 'inductor/test_cudacodecache'}, {'test_file': 'inductor/test_minifier_utils'}, {'test_file': 'inductor/test_debug_trace'}, {'test_file': 'dynamo/test_recompiles'}, {'test_file': 'inductor/test_foreach'}, {'test_file': 'export/test_tree_utils'}, {'test_file': 'inductor/test_triton_wrapper'}, {'test_file': 'inductor/test_static_cuda_launcher'}, {'test_file': 'export/test_dynamic_shapes'}, {'test_file': 'dynamo/test_sdpa'}, {'test_file': 'dynamo/test_utils'}, {'test_file': 'inductor/test_provenance_tracing'}, {'test_file': 'inductor/test_combo_kernels'}, {'test_file': 'inductor/test_codegen_triton'}, {'test_file': 'dynamo/test_frame_init'}, {'test_file': 'inductor/test_device_assert'}, {'test_file': 'dynamo/test_skip_non_tensor'}, {'test_file': 'dynamo/test_skip_guard_eval_unsafe'}, {'test_file': 'dynamo/test_interop'}, {'test_file': 'functorch/test_eager_transforms'}, {'test_file': 'inductor/test_control_deps'}, {'test_file': 'inductor/test_benchmarking'}, {'test_file': 'inductor/test_helion_kernels'}, {'test_file': 'inductor/test_quantization'}, {'test_file': 'inductor/test_best_config'}, {'test_file': 'export/test_tools'}, {'test_file': 'dynamo/test_buffers_override'}, {'test_file': 'inductor/test_inplacing_pass'}, {'test_file': 'inductor/test_aot_inductor_custom_ops'}, {'test_file': 'inductor/test_split_cat_fx_passes'}, {'test_file': 'inductor/test_profiler'}, {'test_file': 'inductor/test_memory_planning'}, {'test_file': 'inductor/test_mem_estimation'}, {'test_file': 'dynamo/test_view'}, {'test_file': 'inductor/test_cutlass_evt'}, {'test_file': 'dynamo/test_reconstruct'}, {'test_file': 'dynamo/test_aot_autograd'}, {'test_file': 'export/test_cpp_serdes'}, {'test_file': 'inductor/test_cache'}, {'test_file': 'inductor/test_block_analysis'}, {'test_file': 'dynamo/test_subgraphs'}, {'test_file': 'dynamo/test_pre_dispatch'}, {'test_file': 'inductor/test_custom_post_grad_passes'}, {'test_file': 'dynamo/test_fx_annotate'}, {'test_file': 'dynamo/test_pgo'}, {'test_file': 'dynamo/test_config'}, {'test_file': 'dynamo/test_metrics_context'}, {'test_file': 'export/test_package'}, {'test_file': 'export/test_export_opinfo'}, {'test_file': 'dynamo/test_nops'}, {'test_file': 'inductor/test_graph_transform_observer'}, {'test_file': 'inductor/test_aot_inductor_utils'}, {'test_file': 'export/test_db'}, {'test_file': 'dynamo/test_export_mutations'}, {'test_file': 'inductor/test_config'}, {'test_file': 'inductor/test_dependencies'}, {'test_file': 'inductor/test_fuzzer'}, {'test_file': 'dynamo/test_global'}, {'test_file': 'inductor/test_control_flow'}, {'test_file': 'dynamo/test_graph_region_tracker'}, {'test_file': 'dynamo/test_unittest'}, {'test_file': 'inductor/test_compile'}, {'test_file': 'dynamo/test_functions'}, {'test_file': 'inductor/test_ordered_set'}, {'test_file': 'inductor/test_pallas'}, {'test_file': 'dynamo/test_install_free_tensors'}, {'test_file': 'inductor/test_torchinductor_codegen_config_overrides'}, {'test_file': 'export/test_passes'}, {'test_file': 'dynamo/test_autograd_function'}, {'test_file': 'inductor/test_codecache'}, {'test_file': 'dynamo/test_cudagraphs'}, {'test_file': 'inductor/test_alignment'}, {'test_file': 'dynamo/test_profiler'}, {'test_file': 'dynamo/test_guard_serialization'}, {'test_file': 'dynamo/test_compile'}, {'test_file': 'dynamo/test_nested_graph_breaks'}, {'test_file': 'dynamo/test_dicts'}, {'test_file': 'inductor/test_needs_exact_strides'}, {'test_file': 'inductor/test_auto_functionalize'}, {'test_file': 'inductor/test_split_cat_fx_aten_passes'}, {'test_file': 'inductor/test_minifier_isolate'}, {'test_file': 'dynamo/test_list'}, {'test_file': 'dynamo/test_resume'}, {'test_file': 'inductor/test_augmented_graph_helper'}, {'test_file': 'dynamo/test_deviceguard'}, {'test_file': 'dynamo/test_sources'}, {'test_file': 'dynamo/test_backward_higher_order_ops'}, {'test_file': 'dynamo/test_modes'}, {'test_file': 'dynamo/test_optimizers'}, {'test_file': 'export/test_torchbind'}, {'test_file': 'inductor/test_custom_partitioner_fn'}, {'test_file': 'dynamo/test_debug_utils'}, {'test_file': 'dynamo/test_base_hop'}, {'test_file': 'dynamo/test_export'}, {'test_file': 'dynamo/test_package'}, {'test_file': 'inductor/test_efficient_conv_bn_eval'}, {'test_file': 'inductor/test_torchbind'}, {'test_file': 'dynamo/test_python_dispatcher'}, {'test_file': 'export/test_swap'}, {'test_file': 'export/test_unflatten'}, {'test_file': 'dynamo/test_verify_correctness'}, {'test_file': 'inductor/test_fxir_backend'}, {'test_file': 'dynamo/test_cudagraphs_expandable_segments'}, {'test_file': 'inductor/test_caching'}, {'test_file': 'dynamo/test_aot_autograd_cache'}, {'test_file': 'dynamo/test_flat_apply'}, {'test_file': 'dynamo/test_input_attr_tracking'}, {'test_file': 'dynamo/test_graph_deduplication'}, {'test_file': 'inductor/test_distributed_patterns'}, {'test_file': 'dynamo/test_structured_trace'}, {'test_file': 'dynamo/test_error_messages'}, {'test_file': 'dynamo/test_bytecode_utils'}, {'test_file': 'dynamo/test_fake_distributed'}, {'test_file': 'inductor/test_mps_basic'}, {'test_file': 'export/test_nativert'}, {'test_file': 'export/test_hop'}, {'test_file': 'dynamo/test_tree_map'}, {'test_file': 'dynamo/test_minifier'}, {'test_file': 'dynamo/test_guard_manager'}, {'test_file': 'export/test_schema'}, {'test_file': 'dynamo/test_torchrec'}, {'test_file': 'export/test_pass_infra'}, {'test_file': 'export/test_experimental'}, {'test_file': 'export/test_converter'}, {'test_file': 'export/test_export'}, {'test_file': 'test_model_exports_to_core_aten'}, {'test_file': 'dynamo/test_precompile_context'}, {'test_file': 'dynamo/test_trace_rules'}, {'test_file': 'export/test_upgrader'}, {'test_file': 'dynamo/test_hooks'}, {'test_file': 'dynamo/test_reorder_logs'}, {'test_file': 'dynamo/test_subclasses'}, {'test_file': 'dynamo/test_exceptions'}, {'test_file': 'dynamo/test_generator'}, {'test_file': 'export/test_lift_unlift'}, {'test_file': 'export/test_verifier'}, {'test_file': 'export/test_sparse'}, {'test_file': 'dynamo/test_python_autograd'}, {'test_file': 'export/test_draft_export'}, {'test_file': 'dynamo/test_comptime'}, {'test_file': 'test_sort_and_select'}, {'test_file': 'functorch/test_rearrange'}, {'test_file': 'functorch/test_parsing'}, {'test_file': 'test_package'}, {'test_file': 'profiler/test_profiler'}, {'test_file': 'test_mkl_verbose'}, {'test_file': 'test_comparison_utils'}, {'test_file': 'functorch/test_ac_logging'}, {'test_file': 'test_mkldnn_verbose'}, {'test_file': 'test_cpp_api_parity'}, {'test_file': 'test_utils_config_module'}, {'test_file': 'test_hop_infra'}, {'test_file': 'test_appending_byte_serializer'}, {'test_file': 'test_license'}, {'test_file': 'test_ao_sparsity'}, {'test_file': 'test_autoload'}, {'test_file': 'nn/attention/test_open_registry'}, {'test_file': 'xpu/test_fusion'}, {'test_file': 'test_as_strided'}, {'test_file': 'test_foreach'}, {'test_file': 'test_proxy_tensor'}, {'test_file': 'torch_np/test_binary_ufuncs'}, {'test_file': 'torch_np/test_unary_ufuncs'}, {'test_file': 'test_utils_filelock'}, {'test_file': 'test_extension_utils'}, {'test_file': 'test_rename_privateuse1_to_existing_device'}, {'test_file': 'nn/attention/test_fa4'}, {'test_file': 'typing/test_python_operators'}, {'test_file': 'test_functionalization'}, {'test_file': 'torch_np/test_dtype'}, {'test_file': 'test_file_check'}, {'test_file': 'profiler/test_kineto'}, {'test_file': 'test_flop_counter'}, {'test_file': 'backends/xeon/test_launch'}, {'test_file': 'test_show_pickle'}, {'test_file': 'test_openmp'}, {'test_file': 'test_expanded_weights'}, {'test_file': 'test_module_tracker'}, {'test_file': 'torch_np/numpy_tests/core/test_scalarinherit'}, {'test_file': 'test_tensorexpr_pybind'}, {'test_file': 'test_fx_experimental'}, {'test_file': 'functorch/test_ac_knapsack'}, {'test_file': 'torch_np/test_nep50_examples'}, {'test_file': 'test_torch'}, {'test_file': 'xpu/test_gemm'}, {'test_file': 'test_fx_passes'}, {'test_file': 'functorch/test_logging'}, {'test_file': 'test_namedtensor'}, {'test_file': 'test_tensorexpr'}, {'test_file': 'functorch/test_minifier'}, {'test_file': 'higher_order_ops/test_invoke_quant'}, {'test_file': 'torch_np/test_basic'}, {'test_file': 'test_jiterator'}, {'test_file': 'test_native_functions'}, {'test_file': 'test_typing'}, {'test_file': 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##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-12-04T09:47:53.6667862Z kill "$MONITOR_SCRIPT_PID" 2025-12-04T09:47:53.6677137Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:47:53.6677527Z env: 2025-12-04T09:47:53.6677735Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:47:53.6677997Z HAS_NVIDIA_GPU: true 2025-12-04T09:47:53.6678366Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:47:53.6678888Z DOCKER_CONTAINER_ID: e1d3505956b19aa2304f0033887702c0bb4bb6f4f2a2baedd42f4edc67ea0832 2025-12-04T09:47:53.6679491Z DEVICE_NAME: 2025-12-04T09:47:53.6679740Z DEVICE_TYPE: 2025-12-04T09:47:53.6680023Z MONITOR_SCRIPT_PID: 59406 2025-12-04T09:47:53.6680279Z ##[endgroup] 2025-12-04T09:47:53.6710785Z /home/ec2-user/actions-runner/_work/_temp/f8e3b4d2-8684-4426-9ad8-19f89666eb94.sh: line 1: kill: (59406) - No such process 2025-12-04T09:47:53.6721565Z ##[error]Process completed with exit code 1. 2025-12-04T09:47:53.6848535Z Prepare all required actions 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2025-12-04T09:47:56.5228631Z DEVICE_TYPE: 2025-12-04T09:47:56.5228848Z ##[endgroup] 2025-12-04T09:47:56.5347876Z ##[group]Run # Remove any previous test jsons if they exist 2025-12-04T09:47:56.5348439Z # Remove any previous test jsons if they exist 2025-12-04T09:47:56.5348909Z rm -f test-jsons-*.zip 2025-12-04T09:47:56.5349455Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-12-04T09:47:56.5359476Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:47:56.5359818Z env: 2025-12-04T09:47:56.5360024Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:47:56.5360287Z HAS_NVIDIA_GPU: true 2025-12-04T09:47:56.5360578Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:47:56.5361092Z DOCKER_CONTAINER_ID: e1d3505956b19aa2304f0033887702c0bb4bb6f4f2a2baedd42f4edc67ea0832 2025-12-04T09:47:56.5361552Z DEVICE_NAME: 2025-12-04T09:47:56.5361760Z DEVICE_TYPE: 2025-12-04T09:47:56.5362116Z FILE_SUFFIX: 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test/test-reports/dynamo.test_aot_autograd_cache_1.1_84776bc12e814810_.log (deflated 51%) 2025-12-04T09:47:56.7714059Z adding: test/test-reports/dynamo.test_torchrec_1.1_a37598acc0504e3f_.log (deflated 49%) 2025-12-04T09:47:56.7715051Z adding: test/test-reports/dynamo.test_exceptions_1.1_e58e38d65a36765f_.log (deflated 50%) 2025-12-04T09:47:56.7716053Z adding: test/test-reports/export.test_lift_unlift_1.1_f622004b9d738152_.log (deflated 50%) 2025-12-04T09:47:56.7717024Z adding: test/test-reports/export.test_verifier_1.1_f4d4c5a92142cca2_.log (deflated 49%) 2025-12-04T09:47:56.7718020Z adding: test/test-reports/export.test_draft_export_1.1_3b1fdf26467ffafe_.log (deflated 50%) 2025-12-04T09:47:56.7719097Z adding: test/test-reports/test_comparison_utils_1.1_15c8346d18cbb555_.log (deflated 49%) 2025-12-04T09:47:56.7720416Z adding: test/test-reports/functorch.test_ac_logging_1.1_7aa30e0e85be25cf_.log (deflated 50%) 2025-12-04T09:47:56.7721448Z adding: test/test-reports/test_mkldnn_verbose_1.1_5bb06b91e51ca5f6_.log (deflated 49%) 2025-12-04T09:47:56.7722345Z adding: test/test-reports/test_license_1.1_fbf43e8fe1dfc6ce_.log (deflated 48%) 2025-12-04T09:47:56.7723229Z adding: test/test-reports/test_autoload_1.1_3cba31e4c10a8510_.log (deflated 48%) 2025-12-04T09:47:56.7724230Z adding: test/test-reports/nn.attention.test_open_registry_1.1_b7039ec2ebb20fb5_.log (deflated 51%) 2025-12-04T09:47:56.7725212Z adding: test/test-reports/test_as_strided_1.1_b8449922abb08fb5_.log (deflated 48%) 2025-12-04T09:47:56.7726221Z adding: test/test-reports/test_foreach_1.2_73a1ffaa71413a82_.log (deflated 97%) 2025-12-04T09:47:56.7727100Z adding: test/test-reports/test_modules_4.4_e6e8f9da1ecbc0bd_.log (deflated 48%) 2025-12-04T09:47:56.7728001Z adding: test/test-reports/optim.test_optim_1.1_d587c1d0f89023b2_.log (deflated 7%) 2025-12-04T09:47:56.7729038Z adding: test/test-reports/torch_np.numpy_tests.core.test_dlpack_1.1_9fe3f2d8289828df_.log (deflated 51%) 2025-12-04T09:47:56.7730031Z adding: test/test-reports/test_multiprocessing_spawn_1.1_eeffefb295b0515e_.log (deflated 50%) 2025-12-04T09:47:56.7730998Z adding: test/test-reports/profiler.test_python_tracer_1.1_302604ea627be42b_.log (deflated 51%) 2025-12-04T09:47:56.7731914Z adding: test/test-reports/cpp_extensions.libtorch_agnostic_2_10_extension.test_version_compatibility_1.1_fe4a5df819b8c678_.log (deflated 56%) 2025-12-04T09:47:56.7732778Z adding: test/test-reports/test_cpp_extensions_aot_ninja_1.1_47c6092781c5e5ce_.log (deflated 50%) 2025-12-04T09:47:56.7733471Z adding: test/test-reports/test_cpp_extensions_aot_no_ninja_1.1_5038b0b9d1b7c625_.log (deflated 51%) 2025-12-04T09:47:56.7792213Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-12-04T09:47:56.7792861Z # Remove any previous debugging artifacts if they exist 2025-12-04T09:47:56.7793232Z rm -f debug-*.zip 2025-12-04T09:47:56.7793501Z if [ -d 'test/debug' ]; then 2025-12-04T09:47:56.7793841Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-12-04T09:47:56.7794158Z fi 2025-12-04T09:47:56.7802937Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:47:56.7803286Z env: 2025-12-04T09:47:56.7803485Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:47:56.7803823Z HAS_NVIDIA_GPU: true 2025-12-04T09:47:56.7804119Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:47:56.7804624Z DOCKER_CONTAINER_ID: e1d3505956b19aa2304f0033887702c0bb4bb6f4f2a2baedd42f4edc67ea0832 2025-12-04T09:47:56.7805087Z DEVICE_NAME: 2025-12-04T09:47:56.7805299Z DEVICE_TYPE: 2025-12-04T09:47:56.7805638Z FILE_SUFFIX: test-default-8-8-linux.g5.4xlarge.nvidia.gpu_57118183233 2025-12-04T09:47:56.7806036Z ##[endgroup] 2025-12-04T09:47:56.7928449Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T09:47:56.7928768Z with: 2025-12-04T09:47:56.7928974Z s3-bucket: gha-artifacts 2025-12-04T09:47:56.7929289Z s3-prefix: pytorch/pytorch/19922826259/1/artifact 2025-12-04T09:47:56.7929612Z retention-days: 14 2025-12-04T09:47:56.7929848Z if-no-files-found: warn 2025-12-04T09:47:56.7930099Z path: test-jsons-*.zip 2025-12-04T09:47:56.7930334Z name: artifact 2025-12-04T09:47:56.7930541Z region: us-east-1 2025-12-04T09:47:56.7930761Z env: 2025-12-04T09:47:56.7930955Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:47:56.7931192Z HAS_NVIDIA_GPU: true 2025-12-04T09:47:56.7931486Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:47:56.7932005Z DOCKER_CONTAINER_ID: e1d3505956b19aa2304f0033887702c0bb4bb6f4f2a2baedd42f4edc67ea0832 2025-12-04T09:47:56.7932468Z DEVICE_NAME: 2025-12-04T09:47:56.7932677Z DEVICE_TYPE: 2025-12-04T09:47:56.7932894Z ##[endgroup] 2025-12-04T09:47:57.2890862Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T09:47:57.2891296Z With the provided path, there will be 1 file uploaded 2025-12-04T09:47:57.2891968Z Uploading to s3 prefix: pytorch/pytorch/19922826259/1/artifact 2025-12-04T09:47:57.2964975Z Starting upload of test-jsons-test-default-8-8-linux.g5.4xlarge.nvidia.gpu_57118183233.zip 2025-12-04T09:47:57.4077595Z Finished upload of test-jsons-test-default-8-8-linux.g5.4xlarge.nvidia.gpu_57118183233.zip 2025-12-04T09:47:57.4366429Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T09:47:57.4366758Z with: 2025-12-04T09:47:57.4366972Z s3-bucket: gha-artifacts 2025-12-04T09:47:57.4367284Z s3-prefix: pytorch/pytorch/19922826259/1/artifact 2025-12-04T09:47:57.4367608Z retention-days: 14 2025-12-04T09:47:57.4367857Z if-no-files-found: error 2025-12-04T09:47:57.4368256Z path: test-reports-*.zip 2025-12-04T09:47:57.4368517Z name: artifact 2025-12-04T09:47:57.4368740Z region: us-east-1 2025-12-04T09:47:57.4368955Z env: 2025-12-04T09:47:57.4369151Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:47:57.4369393Z HAS_NVIDIA_GPU: true 2025-12-04T09:47:57.4369695Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:47:57.4370220Z DOCKER_CONTAINER_ID: e1d3505956b19aa2304f0033887702c0bb4bb6f4f2a2baedd42f4edc67ea0832 2025-12-04T09:47:57.4370674Z DEVICE_NAME: 2025-12-04T09:47:57.4370888Z DEVICE_TYPE: 2025-12-04T09:47:57.4371094Z ##[endgroup] 2025-12-04T09:47:57.9856643Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T09:47:57.9857090Z With the provided path, there will be 1 file uploaded 2025-12-04T09:47:57.9857523Z Uploading to s3 prefix: pytorch/pytorch/19922826259/1/artifact 2025-12-04T09:47:57.9930979Z Starting upload of test-reports-test-default-8-8-linux.g5.4xlarge.nvidia.gpu_57118183233.zip 2025-12-04T09:47:58.1127290Z Finished upload of test-reports-test-default-8-8-linux.g5.4xlarge.nvidia.gpu_57118183233.zip 2025-12-04T09:47:58.1439950Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T09:47:58.1440263Z with: 2025-12-04T09:47:58.1440475Z s3-bucket: gha-artifacts 2025-12-04T09:47:58.1440777Z s3-prefix: pytorch/pytorch/19922826259/1/artifact 2025-12-04T09:47:58.1441115Z retention-days: 14 2025-12-04T09:47:58.1441357Z if-no-files-found: ignore 2025-12-04T09:47:58.1441611Z path: logs-*.zip 2025-12-04T09:47:58.1441821Z name: artifact 2025-12-04T09:47:58.1442037Z region: us-east-1 2025-12-04T09:47:58.1442243Z env: 2025-12-04T09:47:58.1442435Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:47:58.1442682Z HAS_NVIDIA_GPU: true 2025-12-04T09:47:58.1443105Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:47:58.1443626Z DOCKER_CONTAINER_ID: e1d3505956b19aa2304f0033887702c0bb4bb6f4f2a2baedd42f4edc67ea0832 2025-12-04T09:47:58.1444078Z DEVICE_NAME: 2025-12-04T09:47:58.1444296Z DEVICE_TYPE: 2025-12-04T09:47:58.1444502Z ##[endgroup] 2025-12-04T09:47:58.4764015Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T09:47:58.4764689Z With the provided path, there will be 1 file uploaded 2025-12-04T09:47:58.4765250Z Uploading to s3 prefix: pytorch/pytorch/19922826259/1/artifact 2025-12-04T09:47:58.4839906Z Starting upload of logs-test-default-8-8-linux.g5.4xlarge.nvidia.gpu_57118183233.zip 2025-12-04T09:47:58.6084618Z Finished upload of logs-test-default-8-8-linux.g5.4xlarge.nvidia.gpu_57118183233.zip 2025-12-04T09:47:58.6370183Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T09:47:58.6370494Z with: 2025-12-04T09:47:58.6370699Z s3-bucket: gha-artifacts 2025-12-04T09:47:58.6371010Z s3-prefix: pytorch/pytorch/19922826259/1/artifact 2025-12-04T09:47:58.6371327Z retention-days: 14 2025-12-04T09:47:58.6371571Z if-no-files-found: ignore 2025-12-04T09:47:58.6371823Z path: debug-*.zip 2025-12-04T09:47:58.6372032Z name: artifact 2025-12-04T09:47:58.6372249Z region: us-east-1 2025-12-04T09:47:58.6372475Z env: 2025-12-04T09:47:58.6372672Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:47:58.6372912Z HAS_NVIDIA_GPU: true 2025-12-04T09:47:58.6373208Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:47:58.6373726Z DOCKER_CONTAINER_ID: e1d3505956b19aa2304f0033887702c0bb4bb6f4f2a2baedd42f4edc67ea0832 2025-12-04T09:47:58.6374409Z DEVICE_NAME: 2025-12-04T09:47:58.6384323Z DEVICE_TYPE: 2025-12-04T09:47:58.6384548Z ##[endgroup] 2025-12-04T09:47:58.9699916Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-12-04T09:47:59.0016938Z ##[group]Run # shellcheck disable=SC2156 2025-12-04T09:47:59.0017299Z # shellcheck disable=SC2156 2025-12-04T09:47:59.0017842Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-12-04T09:47:59.0027199Z shell: /usr/bin/bash -e {0} 2025-12-04T09:47:59.0027466Z env: 2025-12-04T09:47:59.0027684Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:47:59.0028053Z HAS_NVIDIA_GPU: true 2025-12-04T09:47:59.0028358Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:47:59.0028882Z DOCKER_CONTAINER_ID: e1d3505956b19aa2304f0033887702c0bb4bb6f4f2a2baedd42f4edc67ea0832 2025-12-04T09:47:59.0029338Z DEVICE_NAME: 2025-12-04T09:47:59.0029558Z DEVICE_TYPE: 2025-12-04T09:47:59.0029780Z ##[endgroup] 2025-12-04T09:47:59.4137882Z Prepare all required actions 2025-12-04T09:47:59.4138258Z Getting action download info 2025-12-04T09:47:59.5560200Z Download action repository 'actions/setup-python@v6' (SHA:83679a892e2d95755f2dac6acb0bfd1e9ac5d548) 2025-12-04T09:48:01.0594260Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-12-04T09:48:01.0594610Z with: 2025-12-04T09:48:01.0594803Z job_id: 57118183233 2025-12-04T09:48:01.0595449Z job_name: linux-jammy-cuda12.8-py3-gcc11-slow-gradcheck / test (default, 8, 8, linux.g5.4xlarge.nvidia.gpu, module:slowgradcheck, rerun_disabled_tests) 2025-12-04T09:48:01.0596157Z workflow_name: periodic 2025-12-04T09:48:01.0596410Z workflow_run_id: 19922826259 2025-12-04T09:48:01.0596661Z workflow_attempt: 1 2025-12-04T09:48:01.0596881Z env: 2025-12-04T09:48:01.0597077Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:48:01.0597316Z HAS_NVIDIA_GPU: true 2025-12-04T09:48:01.0597612Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:48:01.0598237Z DOCKER_CONTAINER_ID: e1d3505956b19aa2304f0033887702c0bb4bb6f4f2a2baedd42f4edc67ea0832 2025-12-04T09:48:01.0598696Z DEVICE_NAME: 2025-12-04T09:48:01.0598910Z DEVICE_TYPE: 2025-12-04T09:48:01.0599127Z ##[endgroup] 2025-12-04T09:48:01.0694956Z ##[group]Run actions/setup-python@v6 2025-12-04T09:48:01.0695240Z with: 2025-12-04T09:48:01.0695565Z python-version: 3.10 2025-12-04T09:48:01.0695858Z check-latest: false 2025-12-04T09:48:01.0696324Z token: *** 2025-12-04T09:48:01.0696551Z update-environment: true 2025-12-04T09:48:01.0696819Z allow-prereleases: false 2025-12-04T09:48:01.0697070Z freethreaded: false 2025-12-04T09:48:01.0697300Z env: 2025-12-04T09:48:01.0697499Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:48:01.0697743Z HAS_NVIDIA_GPU: true 2025-12-04T09:48:01.0698043Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:48:01.0698570Z DOCKER_CONTAINER_ID: e1d3505956b19aa2304f0033887702c0bb4bb6f4f2a2baedd42f4edc67ea0832 2025-12-04T09:48:01.0699030Z DEVICE_NAME: 2025-12-04T09:48:01.0699252Z DEVICE_TYPE: 2025-12-04T09:48:01.0699465Z ##[endgroup] 2025-12-04T09:48:01.3885754Z ##[group]Installed versions 2025-12-04T09:48:01.3893589Z Version 3.10 was not found in the local cache 2025-12-04T09:48:01.4069402Z (node:79009) [DEP0040] DeprecationWarning: The `punycode` module is deprecated. Please use a userland alternative instead. 2025-12-04T09:48:01.4070192Z (Use `node --trace-deprecation ...` to show where the warning was created) 2025-12-04T09:48:01.7493217Z ##[error]The version '3.10' with architecture 'x64' was not found for this operating system. The list of all available versions can be found here: https://raw.githubusercontent.com/actions/python-versions/main/versions-manifest.json 2025-12-04T09:48:01.7725255Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-12-04T09:48:01.7725663Z with: 2025-12-04T09:48:01.7725856Z env: 2025-12-04T09:48:01.7726061Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:48:01.7726313Z HAS_NVIDIA_GPU: true 2025-12-04T09:48:01.7726612Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:48:01.7727134Z DOCKER_CONTAINER_ID: e1d3505956b19aa2304f0033887702c0bb4bb6f4f2a2baedd42f4edc67ea0832 2025-12-04T09:48:01.7727597Z DEVICE_NAME: 2025-12-04T09:48:01.7727805Z DEVICE_TYPE: 2025-12-04T09:48:01.7728013Z ##[endgroup] 2025-12-04T09:48:01.7816051Z ##[group]Run set -eou pipefail 2025-12-04T09:48:01.7816339Z set -eou pipefail 2025-12-04T09:48:01.7816599Z  2025-12-04T09:48:01.7816944Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-12-04T09:48:01.7817482Z for _ in $(seq 1440); do 2025-12-04T09:48:01.7817821Z  # Break if no ssh session exists anymore 2025-12-04T09:48:01.7818150Z  if [ "$(who)" = "" ]; then 2025-12-04T09:48:01.7818434Z  break 2025-12-04T09:48:01.7818664Z  fi 2025-12-04T09:48:01.7818882Z  echo "." 2025-12-04T09:48:01.7819112Z  sleep 5 2025-12-04T09:48:01.7819348Z done 2025-12-04T09:48:01.7828459Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:48:01.7828812Z env: 2025-12-04T09:48:01.7829034Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:48:01.7829297Z HAS_NVIDIA_GPU: true 2025-12-04T09:48:01.7829605Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:48:01.7830185Z DOCKER_CONTAINER_ID: e1d3505956b19aa2304f0033887702c0bb4bb6f4f2a2baedd42f4edc67ea0832 2025-12-04T09:48:01.7830651Z DEVICE_NAME: 2025-12-04T09:48:01.7830868Z DEVICE_TYPE: 2025-12-04T09:48:01.7831086Z ##[endgroup] 2025-12-04T09:48:01.7863784Z Holding runner for 2 hours until all ssh sessions have logged out 2025-12-04T09:48:01.8381917Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T09:48:01.8382448Z # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T09:48:01.8382852Z # shellcheck disable=SC2046 2025-12-04T09:48:01.8383172Z docker stop $(docker ps -q) || true 2025-12-04T09:48:01.8383500Z # Prune all of the docker images 2025-12-04T09:48:01.8383818Z docker system prune -af 2025-12-04T09:48:01.8393282Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:48:01.8393629Z env: 2025-12-04T09:48:01.8393834Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:48:01.8394193Z HAS_NVIDIA_GPU: true 2025-12-04T09:48:01.8394481Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:48:01.8394996Z DOCKER_CONTAINER_ID: e1d3505956b19aa2304f0033887702c0bb4bb6f4f2a2baedd42f4edc67ea0832 2025-12-04T09:48:01.8395469Z DEVICE_NAME: 2025-12-04T09:48:01.8395670Z DEVICE_TYPE: 2025-12-04T09:48:01.8395880Z ##[endgroup] 2025-12-04T09:48:19.2180372Z e1d3505956b1 2025-12-04T09:48:20.0565681Z Deleted Containers: 2025-12-04T09:48:20.0566207Z e1d3505956b19aa2304f0033887702c0bb4bb6f4f2a2baedd42f4edc67ea0832 2025-12-04T09:48:20.0566640Z 2025-12-04T09:48:34.7716345Z Deleted Images: 2025-12-04T09:48:34.7716726Z untagged: public.ecr.aws/docker/library/python:3.13 2025-12-04T09:48:34.7717633Z untagged: public.ecr.aws/docker/library/python@sha256:3f986299a7b8b44b0d8cf9bda2b22361ce5c3058ef5d7cb17fb7452506680ab0 2025-12-04T09:48:34.7718510Z deleted: sha256:44438aecfedf7b6086fce506dae0db5ba7fc0027f9b743f1a75a6b5cbc7de70a 2025-12-04T09:48:34.7719139Z deleted: sha256:6f09a1f5d8a107c2532fbd116e75116cb75fa77b1a7d72d3bdf1ac12de152acd 2025-12-04T09:48:34.7719806Z deleted: sha256:fe5f3ac0be086125eb1e3cd10cc33e8e426f4e079381f7ce5a987b626e99fa67 2025-12-04T09:48:34.7720634Z deleted: sha256:79dd2061a22cf919cfc4f1f02704bfda09afadb017265e670ee54441d296c06c 2025-12-04T09:48:34.7721805Z deleted: 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Please use a userland alternative instead. 2025-12-04T09:48:34.9295570Z (Use `node --trace-deprecation ...` to show where the warning was created) 2025-12-04T09:48:34.9489903Z Post job cleanup. 2025-12-04T09:48:34.9533278Z Post job cleanup. 2025-12-04T09:48:35.0523793Z [command]/usr/bin/git version 2025-12-04T09:48:35.0571309Z git version 2.50.1 2025-12-04T09:48:35.0609602Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/3f4ecf23-6797-41fd-9f97-3c4c33d31f34/.gitconfig' 2025-12-04T09:48:35.0620055Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/3f4ecf23-6797-41fd-9f97-3c4c33d31f34' before making global git config changes 2025-12-04T09:48:35.0620946Z Adding repository directory to the temporary git global config as a safe directory 2025-12-04T09:48:35.0625748Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T09:48:35.0677753Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-12-04T09:48:35.0717694Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-12-04T09:48:35.1125828Z Entering 'android/libs/fbjni' 2025-12-04T09:48:35.1206241Z Entering 'third_party/FP16' 2025-12-04T09:48:35.1291809Z Entering 'third_party/FXdiv' 2025-12-04T09:48:35.1372220Z Entering 'third_party/NNPACK' 2025-12-04T09:48:35.1452163Z Entering 'third_party/NVTX' 2025-12-04T09:48:35.1533817Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T09:48:35.1614352Z Entering 'third_party/XNNPACK' 2025-12-04T09:48:35.1713239Z Entering 'third_party/aiter' 2025-12-04T09:48:35.1798478Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T09:48:35.1885087Z Entering 'third_party/benchmark' 2025-12-04T09:48:35.1965234Z Entering 'third_party/composable_kernel' 2025-12-04T09:48:35.2052639Z Entering 'third_party/cpp-httplib' 2025-12-04T09:48:35.2134175Z Entering 'third_party/cpuinfo' 2025-12-04T09:48:35.2215392Z Entering 'third_party/cudnn_frontend' 2025-12-04T09:48:35.2298394Z Entering 'third_party/cutlass' 2025-12-04T09:48:35.2387785Z Entering 'third_party/fbgemm' 2025-12-04T09:48:35.2471163Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T09:48:35.2550677Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T09:48:35.2639495Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T09:48:35.2718885Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T09:48:35.2806835Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T09:48:35.2884152Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T09:48:35.2960803Z Entering 'third_party/fbgemm/external/json' 2025-12-04T09:48:35.3050917Z Entering 'third_party/flash-attention' 2025-12-04T09:48:35.3131280Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T09:48:35.3216250Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T09:48:35.3310336Z Entering 'third_party/flatbuffers' 2025-12-04T09:48:35.3392289Z Entering 'third_party/fmt' 2025-12-04T09:48:35.3470862Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T09:48:35.3550378Z Entering 'third_party/gloo' 2025-12-04T09:48:35.3627990Z Entering 'third_party/googletest' 2025-12-04T09:48:35.3706756Z Entering 'third_party/ideep' 2025-12-04T09:48:35.3783708Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T09:48:35.3874083Z Entering 'third_party/ittapi' 2025-12-04T09:48:35.3955720Z Entering 'third_party/kineto' 2025-12-04T09:48:35.4036442Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T09:48:35.4113002Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T09:48:35.4193947Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T09:48:35.4273346Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T09:48:35.4350374Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T09:48:35.4428213Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T09:48:35.4515677Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T09:48:35.4595943Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T09:48:35.4674018Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T09:48:35.4752879Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T09:48:35.4831001Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T09:48:35.4909139Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:48:35.4990281Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:48:35.5079177Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T09:48:35.5157240Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T09:48:35.5237788Z Entering 'third_party/kleidiai' 2025-12-04T09:48:35.5319440Z Entering 'third_party/mimalloc' 2025-12-04T09:48:35.5400865Z Entering 'third_party/nlohmann' 2025-12-04T09:48:35.5482370Z Entering 'third_party/onnx' 2025-12-04T09:48:35.5579056Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T09:48:35.5667239Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T09:48:35.5751392Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T09:48:35.5835048Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T09:48:35.5915571Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T09:48:35.5993106Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T09:48:35.6075920Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T09:48:35.6156332Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T09:48:35.6230925Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T09:48:35.6309069Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:48:35.6387347Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:48:35.6473372Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T09:48:35.6573620Z Entering 'third_party/pocketfft' 2025-12-04T09:48:35.6653819Z Entering 'third_party/protobuf' 2025-12-04T09:48:35.6740363Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T09:48:35.6817609Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T09:48:35.6898054Z Entering 'third_party/psimd' 2025-12-04T09:48:35.6979473Z Entering 'third_party/pthreadpool' 2025-12-04T09:48:35.7059454Z Entering 'third_party/pybind11' 2025-12-04T09:48:35.7140750Z Entering 'third_party/python-peachpy' 2025-12-04T09:48:35.7221613Z Entering 'third_party/sleef' 2025-12-04T09:48:35.7300262Z Entering 'third_party/tensorpipe' 2025-12-04T09:48:35.7379515Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T09:48:35.7457051Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T09:48:35.7534555Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T09:48:35.7610645Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T09:48:35.7685434Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T09:48:35.7798564Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-12-04T09:48:35.7826721Z http.https://github.com/.extraheader 2025-12-04T09:48:35.7839602Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-12-04T09:48:35.7879214Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-12-04T09:48:35.8280350Z Entering 'android/libs/fbjni' 2025-12-04T09:48:35.8335492Z http.https://github.com/.extraheader 2025-12-04T09:48:35.8385977Z Entering 'third_party/FP16' 2025-12-04T09:48:35.8438986Z http.https://github.com/.extraheader 2025-12-04T09:48:35.8490621Z Entering 'third_party/FXdiv' 2025-12-04T09:48:35.8540595Z http.https://github.com/.extraheader 2025-12-04T09:48:35.8591726Z Entering 'third_party/NNPACK' 2025-12-04T09:48:35.8649238Z http.https://github.com/.extraheader 2025-12-04T09:48:35.8699274Z Entering 'third_party/NVTX' 2025-12-04T09:48:35.8751979Z http.https://github.com/.extraheader 2025-12-04T09:48:35.8803377Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T09:48:35.8858525Z http.https://github.com/.extraheader 2025-12-04T09:48:35.8908667Z Entering 'third_party/XNNPACK' 2025-12-04T09:48:35.8961153Z http.https://github.com/.extraheader 2025-12-04T09:48:35.9026792Z Entering 'third_party/aiter' 2025-12-04T09:48:35.9077935Z http.https://github.com/.extraheader 2025-12-04T09:48:35.9129032Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T09:48:35.9182780Z http.https://github.com/.extraheader 2025-12-04T09:48:35.9243874Z Entering 'third_party/benchmark' 2025-12-04T09:48:35.9297646Z http.https://github.com/.extraheader 2025-12-04T09:48:35.9347162Z Entering 'third_party/composable_kernel' 2025-12-04T09:48:35.9399213Z http.https://github.com/.extraheader 2025-12-04T09:48:35.9459765Z Entering 'third_party/cpp-httplib' 2025-12-04T09:48:35.9512590Z http.https://github.com/.extraheader 2025-12-04T09:48:35.9560671Z Entering 'third_party/cpuinfo' 2025-12-04T09:48:35.9611516Z http.https://github.com/.extraheader 2025-12-04T09:48:35.9661544Z Entering 'third_party/cudnn_frontend' 2025-12-04T09:48:35.9714793Z http.https://github.com/.extraheader 2025-12-04T09:48:35.9766950Z Entering 'third_party/cutlass' 2025-12-04T09:48:35.9818048Z http.https://github.com/.extraheader 2025-12-04T09:48:35.9881912Z Entering 'third_party/fbgemm' 2025-12-04T09:48:35.9940384Z http.https://github.com/.extraheader 2025-12-04T09:48:35.9994282Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T09:48:36.0045636Z http.https://github.com/.extraheader 2025-12-04T09:48:36.0093426Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T09:48:36.0144084Z http.https://github.com/.extraheader 2025-12-04T09:48:36.0201544Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T09:48:36.0251066Z http.https://github.com/.extraheader 2025-12-04T09:48:36.0301303Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T09:48:36.0350922Z http.https://github.com/.extraheader 2025-12-04T09:48:36.0410560Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T09:48:36.0460656Z http.https://github.com/.extraheader 2025-12-04T09:48:36.0511589Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T09:48:36.0561081Z http.https://github.com/.extraheader 2025-12-04T09:48:36.0608636Z Entering 'third_party/fbgemm/external/json' 2025-12-04T09:48:36.0658601Z http.https://github.com/.extraheader 2025-12-04T09:48:36.0713572Z Entering 'third_party/flash-attention' 2025-12-04T09:48:36.0764407Z http.https://github.com/.extraheader 2025-12-04T09:48:36.0817253Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T09:48:36.0866687Z http.https://github.com/.extraheader 2025-12-04T09:48:36.0923386Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T09:48:36.0972632Z http.https://github.com/.extraheader 2025-12-04T09:48:36.1033596Z Entering 'third_party/flatbuffers' 2025-12-04T09:48:36.1088482Z http.https://github.com/.extraheader 2025-12-04T09:48:36.1141153Z Entering 'third_party/fmt' 2025-12-04T09:48:36.1192573Z http.https://github.com/.extraheader 2025-12-04T09:48:36.1241758Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T09:48:36.1294854Z http.https://github.com/.extraheader 2025-12-04T09:48:36.1345330Z Entering 'third_party/gloo' 2025-12-04T09:48:36.1400802Z http.https://github.com/.extraheader 2025-12-04T09:48:36.1449138Z Entering 'third_party/googletest' 2025-12-04T09:48:36.1501423Z http.https://github.com/.extraheader 2025-12-04T09:48:36.1551231Z Entering 'third_party/ideep' 2025-12-04T09:48:36.1602068Z http.https://github.com/.extraheader 2025-12-04T09:48:36.1649479Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T09:48:36.1698978Z http.https://github.com/.extraheader 2025-12-04T09:48:36.1757491Z Entering 'third_party/ittapi' 2025-12-04T09:48:36.1807766Z http.https://github.com/.extraheader 2025-12-04T09:48:36.1859155Z Entering 'third_party/kineto' 2025-12-04T09:48:36.1910873Z http.https://github.com/.extraheader 2025-12-04T09:48:36.1957883Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T09:48:36.2008751Z http.https://github.com/.extraheader 2025-12-04T09:48:36.2056496Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T09:48:36.2106961Z http.https://github.com/.extraheader 2025-12-04T09:48:36.2160831Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T09:48:36.2211566Z http.https://github.com/.extraheader 2025-12-04T09:48:36.2261154Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T09:48:36.2310990Z http.https://github.com/.extraheader 2025-12-04T09:48:36.2363740Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T09:48:36.2415363Z http.https://github.com/.extraheader 2025-12-04T09:48:36.2465634Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T09:48:36.2516140Z http.https://github.com/.extraheader 2025-12-04T09:48:36.2570482Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T09:48:36.2622041Z http.https://github.com/.extraheader 2025-12-04T09:48:36.2671935Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T09:48:36.2724816Z http.https://github.com/.extraheader 2025-12-04T09:48:36.2773822Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T09:48:36.2824696Z http.https://github.com/.extraheader 2025-12-04T09:48:36.2875587Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T09:48:36.2926731Z http.https://github.com/.extraheader 2025-12-04T09:48:36.2978704Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T09:48:36.3034647Z http.https://github.com/.extraheader 2025-12-04T09:48:36.3082205Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:48:36.3133419Z http.https://github.com/.extraheader 2025-12-04T09:48:36.3186068Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:48:36.3236051Z http.https://github.com/.extraheader 2025-12-04T09:48:36.3295521Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T09:48:36.3345038Z http.https://github.com/.extraheader 2025-12-04T09:48:36.3395726Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T09:48:36.3444784Z http.https://github.com/.extraheader 2025-12-04T09:48:36.3498377Z Entering 'third_party/kleidiai' 2025-12-04T09:48:36.3551168Z http.https://github.com/.extraheader 2025-12-04T09:48:36.3601184Z Entering 'third_party/mimalloc' 2025-12-04T09:48:36.3651810Z http.https://github.com/.extraheader 2025-12-04T09:48:36.3699373Z Entering 'third_party/nlohmann' 2025-12-04T09:48:36.3750774Z http.https://github.com/.extraheader 2025-12-04T09:48:36.3804312Z Entering 'third_party/onnx' 2025-12-04T09:48:36.3859006Z http.https://github.com/.extraheader 2025-12-04T09:48:36.3924179Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T09:48:36.3978198Z http.https://github.com/.extraheader 2025-12-04T09:48:36.4032467Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T09:48:36.4082736Z http.https://github.com/.extraheader 2025-12-04T09:48:36.4134291Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T09:48:36.4184143Z http.https://github.com/.extraheader 2025-12-04T09:48:36.4232857Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T09:48:36.4281676Z http.https://github.com/.extraheader 2025-12-04T09:48:36.4331018Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T09:48:36.4380679Z http.https://github.com/.extraheader 2025-12-04T09:48:36.4430191Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T09:48:36.4479291Z http.https://github.com/.extraheader 2025-12-04T09:48:36.4530536Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T09:48:36.4579576Z http.https://github.com/.extraheader 2025-12-04T09:48:36.4628106Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T09:48:36.4676855Z http.https://github.com/.extraheader 2025-12-04T09:48:36.4723770Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T09:48:36.4772752Z http.https://github.com/.extraheader 2025-12-04T09:48:36.4820755Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:48:36.4871169Z http.https://github.com/.extraheader 2025-12-04T09:48:36.4923854Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:48:36.4980577Z http.https://github.com/.extraheader 2025-12-04T09:48:36.5035491Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T09:48:36.5088119Z http.https://github.com/.extraheader 2025-12-04T09:48:36.5161149Z Entering 'third_party/pocketfft' 2025-12-04T09:48:36.5213601Z http.https://github.com/.extraheader 2025-12-04T09:48:36.5262159Z Entering 'third_party/protobuf' 2025-12-04T09:48:36.5315538Z http.https://github.com/.extraheader 2025-12-04T09:48:36.5369702Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T09:48:36.5419364Z http.https://github.com/.extraheader 2025-12-04T09:48:36.5470686Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T09:48:36.5520510Z http.https://github.com/.extraheader 2025-12-04T09:48:36.5575655Z Entering 'third_party/psimd' 2025-12-04T09:48:36.5626445Z http.https://github.com/.extraheader 2025-12-04T09:48:36.5674735Z Entering 'third_party/pthreadpool' 2025-12-04T09:48:36.5726166Z http.https://github.com/.extraheader 2025-12-04T09:48:36.5777685Z Entering 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