2025-12-04T09:32:17.1579974Z Current runner version: '2.330.0' 2025-12-04T09:32:17.1587601Z Runner name: 'i-0081c2223e23d2b92' 2025-12-04T09:32:17.1588493Z Runner group name: 'default' 2025-12-04T09:32:17.1589501Z Machine name: 'ip-10-0-10-129' 2025-12-04T09:32:17.1592658Z ##[group]GITHUB_TOKEN Permissions 2025-12-04T09:32:17.1595367Z Contents: read 2025-12-04T09:32:17.1596093Z Metadata: read 2025-12-04T09:32:17.1596932Z ##[endgroup] 2025-12-04T09:32:17.1599873Z Secret source: Actions 2025-12-04T09:32:17.1600885Z Prepare workflow directory 2025-12-04T09:32:17.2200048Z Prepare all required actions 2025-12-04T09:32:17.2247796Z Getting action download info 2025-12-04T09:32:17.5826501Z Download action repository 'pytorch/test-infra@main' (SHA:39aa74d619174326f4e2fb0e216151c2f29d9ffd) 2025-12-04T09:32:19.8553807Z Download action repository 'pytorch/pytorch@main' (SHA:7716da9fb23f27a65b41f9f016a2afadf281c18f) 2025-12-04T09:32:34.6184248Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-12-04T09:32:34.9484410Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-12-04T09:32:35.1893342Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-12-04T09:32:35.3942250Z Download action repository 'seemethere/download-artifact-s3@1da556a7aa0a088e3153970611f6c432d58e80e6' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-12-04T09:32:35.6897487Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-12-04T09:32:36.0291668Z Getting action download info 2025-12-04T09:32:36.1459514Z Download action repository 'actions/checkout@v4' (SHA:34e114876b0b11c390a56381ad16ebd13914f8d5) 2025-12-04T09:32:36.4625552Z Getting action download info 2025-12-04T09:32:36.5839502Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-12-04T09:32:36.8254217Z Getting action download info 2025-12-04T09:32:36.9406078Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-12-04T09:32:37.1367007Z Getting action download info 2025-12-04T09:32:37.2830941Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32) 2025-12-04T09:32:37.2835490Z ##[group] Inputs 2025-12-04T09:32:37.2836043Z build-environment: linux-jammy-cuda12.4-py3.10-gcc11 2025-12-04T09:32:37.2843532Z test-matrix: {"include": [{"config": "legacy_nvidia_driver", "shard": 1, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 1, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 2, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 2, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 3, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 3, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 4, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 4, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 5, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 5, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}]} 2025-12-04T09:32:37.2851640Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:32:37.2852656Z sync-tag: 2025-12-04T09:32:37.2853732Z timeout-minutes: 240 2025-12-04T09:32:37.2854025Z use-gha: 2025-12-04T09:32:37.2854283Z dashboard-tag: 2025-12-04T09:32:37.2854565Z s3-bucket: gha-artifacts 2025-12-04T09:32:37.2854866Z aws-role-to-assume: 2025-12-04T09:32:37.2855799Z disable-monitor: false 2025-12-04T09:32:37.2856179Z monitor-log-interval: 5 2025-12-04T09:32:37.2856530Z monitor-data-collect-interval: 1 2025-12-04T09:32:37.2856918Z ##[endgroup] 2025-12-04T09:32:37.2857713Z Complete job name: linux-jammy-cuda12.4-py3.10-gcc11 / test (legacy_nvidia_driver, 1, 5, linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests, unstable) 2025-12-04T09:32:37.3448213Z A job started hook has been configured by the self-hosted runner administrator 2025-12-04T09:32:37.3564576Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-12-04T09:32:37.3575097Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:32:37.3575937Z ##[endgroup] 2025-12-04T09:32:38.7434110Z Runner Type: linux.g4dn.4xlarge.nvidia.gpu 2025-12-04T09:32:38.7434743Z Instance Type: g4dn.4xlarge 2025-12-04T09:32:38.7435053Z AMI Name: unknown 2025-12-04T09:32:38.7482480Z AMI ID: ami-08982f1c5bf93d976 2025-12-04T09:32:44.8681432Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-12-04T09:32:44.8681960Z with: 2025-12-04T09:32:44.8682605Z github-secret: *** 2025-12-04T09:32:44.8683457Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-12-04T09:32:44.8684404Z activate-with-label: false 2025-12-04T09:32:44.8684734Z label: with-ssh 2025-12-04T09:32:44.8685016Z remove-existing-keys: true 2025-12-04T09:32:44.8685346Z fail-silently: true 2025-12-04T09:32:44.8685644Z env: 2025-12-04T09:32:44.8685876Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:32:44.8686192Z ##[endgroup] 2025-12-04T09:32:45.0281930Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-12-04T09:32:45.0283664Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-12-04T09:32:45.0658692Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-12-04T09:32:45.0659212Z with: 2025-12-04T09:32:45.0659464Z no-sudo: true 2025-12-04T09:32:45.0659720Z submodules: recursive 2025-12-04T09:32:45.0660028Z fetch-depth: 0 2025-12-04T09:32:45.0660309Z env: 2025-12-04T09:32:45.0660537Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:32:45.0660851Z ##[endgroup] 2025-12-04T09:32:45.0745599Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:32:45.0746743Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:32:45.0757352Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:32:45.0757811Z env: 2025-12-04T09:32:45.0758084Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:32:45.0758432Z ##[endgroup] 2025-12-04T09:32:45.0852321Z ##[group]Run # Use all available CPUs for fetching 2025-12-04T09:32:45.0852898Z # Use all available CPUs for fetching 2025-12-04T09:32:45.0853451Z cd "${GITHUB_WORKSPACE}" 2025-12-04T09:32:45.0853839Z git config --global fetch.parallel 0 2025-12-04T09:32:45.0854483Z git config --global submodule.fetchJobs 0 2025-12-04T09:32:45.0854886Z  2025-12-04T09:32:45.0855385Z # Clean workspace. The default checkout action should also do this, but 2025-12-04T09:32:45.0855971Z # do it here as well just in case 2025-12-04T09:32:45.0856349Z if [[ -d .git ]]; then 2025-12-04T09:32:45.0856695Z  if [ -z "${NO_SUDO}" ]; then 2025-12-04T09:32:45.0857049Z  sudo git clean -ffdx 2025-12-04T09:32:45.0857377Z  else 2025-12-04T09:32:45.0857650Z  git clean -ffdx 2025-12-04T09:32:45.0857944Z  fi 2025-12-04T09:32:45.0858189Z fi 2025-12-04T09:32:45.0864780Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:32:45.0865216Z env: 2025-12-04T09:32:45.0865465Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:32:45.0865768Z NO_SUDO: true 2025-12-04T09:32:45.0866010Z ##[endgroup] 2025-12-04T09:32:45.0999938Z ##[group]Run actions/checkout@v4 2025-12-04T09:32:45.1000528Z with: 2025-12-04T09:32:45.1000832Z ref: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:32:45.1001224Z fetch-depth: 0 2025-12-04T09:32:45.1001505Z submodules: recursive 2025-12-04T09:32:45.1001808Z show-progress: false 2025-12-04T09:32:45.1002119Z repository: pytorch/pytorch 2025-12-04T09:32:45.1002589Z token: *** 2025-12-04T09:32:45.1002850Z ssh-strict: true 2025-12-04T09:32:45.1003116Z ssh-user: git 2025-12-04T09:32:45.1003383Z persist-credentials: true 2025-12-04T09:32:45.1003702Z clean: true 2025-12-04T09:32:45.1003983Z sparse-checkout-cone-mode: true 2025-12-04T09:32:45.1004317Z fetch-tags: false 2025-12-04T09:32:45.1004583Z lfs: false 2025-12-04T09:32:45.1004844Z set-safe-directory: true 2025-12-04T09:32:45.1005186Z env: 2025-12-04T09:32:45.1005460Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:32:45.1005774Z ##[endgroup] 2025-12-04T09:32:45.2214533Z Syncing repository: pytorch/pytorch 2025-12-04T09:32:45.2216101Z ##[group]Getting Git version info 2025-12-04T09:32:45.2216677Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-12-04T09:32:45.2217456Z [command]/usr/bin/git version 2025-12-04T09:32:45.2410451Z git version 2.50.1 2025-12-04T09:32:45.2447243Z ##[endgroup] 2025-12-04T09:32:45.2458665Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/6b2cc810-c08f-448d-a564-bfdd4df83481/.gitconfig' 2025-12-04T09:32:45.2479082Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/6b2cc810-c08f-448d-a564-bfdd4df83481' before making global git config changes 2025-12-04T09:32:45.2480274Z Adding repository directory to the temporary git global config as a safe directory 2025-12-04T09:32:45.2484587Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T09:32:45.2530692Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-12-04T09:32:45.2534157Z ##[group]Initializing the repository 2025-12-04T09:32:45.2538577Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T09:32:45.2608176Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-12-04T09:32:45.2609079Z hint: is subject to change. To configure the initial branch name to use in all 2025-12-04T09:32:45.2609736Z hint: of your new repositories, which will suppress this warning, call: 2025-12-04T09:32:45.2610224Z hint: 2025-12-04T09:32:45.2610567Z hint: git config --global init.defaultBranch 2025-12-04T09:32:45.2610977Z hint: 2025-12-04T09:32:45.2611352Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-12-04T09:32:45.2612036Z hint: 'development'. The just-created branch can be renamed via this command: 2025-12-04T09:32:45.2612557Z hint: 2025-12-04T09:32:45.2612799Z hint: git branch -m 2025-12-04T09:32:45.2613104Z hint: 2025-12-04T09:32:45.2613532Z hint: Disable this message with "git config set advice.defaultBranchName false" 2025-12-04T09:32:45.2616911Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-12-04T09:32:45.2626681Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-12-04T09:32:45.2665203Z ##[endgroup] 2025-12-04T09:32:45.2665709Z ##[group]Disabling automatic garbage collection 2025-12-04T09:32:45.2669070Z [command]/usr/bin/git config --local gc.auto 0 2025-12-04T09:32:45.2696798Z ##[endgroup] 2025-12-04T09:32:45.2697242Z ##[group]Setting up auth 2025-12-04T09:32:45.2705805Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-12-04T09:32:45.2734835Z [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' || :" 2025-12-04T09:32:45.3097428Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-12-04T09:32:45.3128468Z [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' || :" 2025-12-04T09:32:45.3443859Z [command]/usr/bin/git config --local --name-only --get-regexp ^includeIf\.gitdir: 2025-12-04T09:32:45.3474911Z [command]/usr/bin/git submodule foreach --recursive git config --local --show-origin --name-only --get-regexp remote.origin.url 2025-12-04T09:32:45.3800562Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-12-04T09:32:45.3846585Z ##[endgroup] 2025-12-04T09:32:45.3847079Z ##[group]Fetching the repository 2025-12-04T09:32:45.3856002Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-12-04T09:33:41.0486904Z From https://github.com/pytorch/pytorch 2025-12-04T09:33:41.0487518Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-12-04T09:33:41.0488371Z * [new branch] 2.9.1 -> origin/2.9.1 2025-12-04T09:33:41.0489113Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-12-04T09:33:41.0489879Z * [new branch] Flamefire-patch-1 -> origin/Flamefire-patch-1 2025-12-04T09:33:41.0490601Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-12-04T09:33:41.0491276Z * [new branch] HOPrintFunc -> origin/HOPrintFunc 2025-12-04T09:33:41.0492352Z * [new branch] IvanKobzarev/stack/1 -> origin/IvanKobzarev/stack/1 2025-12-04T09:33:41.0494791Z * [new branch] NicoshevSVE128 -> origin/NicoshevSVE128 2025-12-04T09:33:41.0495867Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-12-04T09:33:41.0497295Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-12-04T09:33:41.0498649Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-12-04T09:33:41.0499860Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-12-04T09:33:41.0501745Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-12-04T09:33:41.0503068Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-12-04T09:33:41.0504280Z * [new branch] VLA_exp -> origin/VLA_exp 2025-12-04T09:33:41.0506027Z * [new branch] activation_bench -> origin/activation_bench 2025-12-04T09:33:41.0507983Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-12-04T09:33:41.0509802Z * [new branch] adi/onednn_aarch64 -> origin/adi/onednn_aarch64 2025-12-04T09:33:41.0511041Z * [new branch] adi/test -> origin/adi/test 2025-12-04T09:33:41.0512421Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-12-04T09:33:41.0513835Z * [new branch] adi/test_m8g -> origin/adi/test_m8g 2025-12-04T09:33:41.0515076Z * [new branch] adi/test_onednn -> origin/adi/test_onednn 2025-12-04T09:33:41.0516617Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-12-04T09:33:41.0517889Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-12-04T09:33:41.0519151Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-12-04T09:33:41.0521024Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-12-04T09:33:41.0523341Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-12-04T09:33:41.0524601Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-12-04T09:33:41.0528304Z * [new branch] albanD-patch-1 -> origin/albanD-patch-1 2025-12-04T09:33:41.0528959Z * [new branch] also-surround-shimh -> origin/also-surround-shimh 2025-12-04T09:33:41.0529630Z * [new branch] angelayi/aot_compile -> origin/angelayi/aot_compile 2025-12-04T09:33:41.0530731Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-12-04T09:33:41.0531889Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-12-04T09:33:41.0533257Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-12-04T09:33:41.0534435Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-12-04T09:33:41.0535794Z * [new branch] angelayi/inductor_const -> origin/angelayi/inductor_const 2025-12-04T09:33:41.0536971Z * [new branch] angelayi/lstm -> origin/angelayi/lstm 2025-12-04T09:33:41.0538877Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-12-04T09:33:41.0540564Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-12-04T09:33:41.0541841Z * [new branch] angelayi/side_eff -> origin/angelayi/side_eff 2025-12-04T09:33:41.0543275Z * [new branch] angelayi/state_dict -> origin/angelayi/state_dict 2025-12-04T09:33:41.0544583Z * [new branch] angelayi/symint_input -> origin/angelayi/symint_input 2025-12-04T09:33:41.0546119Z * [new branch] angelayi/symm_mem -> origin/angelayi/symm_mem 2025-12-04T09:33:41.0547343Z * [new branch] angelayi/test_cpp -> origin/angelayi/test_cpp 2025-12-04T09:33:41.0548809Z * [new branch] angelayi/torch_size -> origin/angelayi/torch_size 2025-12-04T09:33:41.0549989Z * [new branch] annotate_assert -> origin/annotate_assert 2025-12-04T09:33:41.0551508Z * [new branch] annotate_fallback_kernel -> origin/annotate_fallback_kernel 2025-12-04T09:33:41.0552707Z * [new branch] annotation_deepcopy -> origin/annotation_deepcopy 2025-12-04T09:33:41.0554045Z * [new branch] annotation_dynamo -> origin/annotation_dynamo 2025-12-04T09:33:41.0555321Z * [new branch] aot_eager_stack_trace -> origin/aot_eager_stack_trace 2025-12-04T09:33:41.0556878Z * [new 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[new branch] xmfan/pre_3945954741e2d37023c5d6954f9483008e0892f9 -> origin/xmfan/pre_3945954741e2d37023c5d6954f9483008e0892f9 2025-12-04T09:33:41.7506801Z * [new branch] xmfan/single_step -> origin/xmfan/single_step 2025-12-04T09:33:41.7508562Z * [new branch] xmfan/sth_0829 -> origin/xmfan/sth_0829 2025-12-04T09:33:41.7509948Z * [new branch] xmfan/test -> origin/xmfan/test 2025-12-04T09:33:41.7511776Z * [new branch] yguo/debug-0226-constexpr -> origin/yguo/debug-0226-constexpr 2025-12-04T09:33:41.7513048Z * [new branch] yguo/new_latest_changes -> origin/yguo/new_latest_changes 2025-12-04T09:33:41.7514144Z * [new branch] yguo/patch_constexpr_changes -> origin/yguo/patch_constexpr_changes 2025-12-04T09:33:41.7515958Z * [new branch] yiming/bootcamp -> origin/yiming/bootcamp 2025-12-04T09:33:41.7517362Z * [new branch] yiming/run_with_start_end_rng_hop -> origin/yiming/run_with_start_end_rng_hop 2025-12-04T09:33:41.7518791Z * [new branch] yolo-llama3 -> origin/yolo-llama3 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zhxchen17/dynamo/unsafe_drop_all_guards -> origin/zhxchen17/dynamo/unsafe_drop_all_guards 2025-12-04T09:33:41.7536940Z * [new branch] zhxchen17/export/call_override -> origin/zhxchen17/export/call_override 2025-12-04T09:33:41.7538165Z * [new branch] zhxchen17/export/codemod1 -> origin/zhxchen17/export/codemod1 2025-12-04T09:33:41.7539459Z * [new branch] zhxchen17/export/ctx_return -> origin/zhxchen17/export/ctx_return 2025-12-04T09:33:41.7540905Z * [new branch] zhxchen17/export/disable_side_effect_warn -> origin/zhxchen17/export/disable_side_effect_warn 2025-12-04T09:33:41.7542103Z * [new branch] zhxchen17/export/pytree_check -> origin/zhxchen17/export/pytree_check 2025-12-04T09:33:41.7543726Z * [new branch] zhxchen17/precompile/aoti -> origin/zhxchen17/precompile/aoti 2025-12-04T09:33:41.7545072Z * [new branch] zhxchen17/precompile/globals -> origin/zhxchen17/precompile/globals 2025-12-04T09:33:41.7546397Z * [new branch] zhxchen17/precompile/inductor_guards -> origin/zhxchen17/precompile/inductor_guards 2025-12-04T09:33:41.7547868Z * [new branch] zhxchen17/scratch/0 -> origin/zhxchen17/scratch/0 2025-12-04T09:33:41.7549256Z * [new branch] zhxchen17/torch_export_api_update -> origin/zhxchen17/torch_export_api_update 2025-12-04T09:33:41.7551005Z * [new branch] zhxhcen17/moodycamel -> origin/zhxhcen17/moodycamel 2025-12-04T09:33:41.7552809Z * [new branch] zxiiro/build-times -> origin/zxiiro/build-times 2025-12-04T09:33:41.7554572Z * [new branch] zxiiro/c7i.2xlarge -> origin/zxiiro/c7i.2xlarge 2025-12-04T09:33:41.7555988Z * [new branch] zxiiro/c7i.2xlarge.h100 -> origin/zxiiro/c7i.2xlarge.h100 2025-12-04T09:33:41.7557320Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-12-04T09:33:41.7558643Z * [new branch] zxiiro/risc64 -> origin/zxiiro/risc64 2025-12-04T09:33:41.7560006Z * [new branch] zxiiro/test-multicloud-arc -> origin/zxiiro/test-multicloud-arc 2025-12-04T09:33:41.7561315Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-12-04T09:33:41.7562169Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-12-04T09:33:41.7563382Z * [new tag] ciflow/b200/115316 -> ciflow/b200/115316 2025-12-04T09:33:41.7564125Z * [new tag] ciflow/b200/160685 -> ciflow/b200/160685 2025-12-04T09:33:41.7564927Z * [new tag] ciflow/b200/161607 -> ciflow/b200/161607 2025-12-04T09:33:41.7565735Z * [new tag] ciflow/b200/161938 -> ciflow/b200/161938 2025-12-04T09:33:41.7567283Z * [new tag] ciflow/b200/167207 -> ciflow/b200/167207 2025-12-04T09:33:41.7568079Z * [new tag] ciflow/b200/167989 -> ciflow/b200/167989 2025-12-04T09:33:41.7568997Z * [new tag] ciflow/b200/168096 -> ciflow/b200/168096 2025-12-04T09:33:41.7570101Z * [new tag] ciflow/b200/168175 -> ciflow/b200/168175 2025-12-04T09:33:41.7571000Z * [new tag] ciflow/b200/168195 -> ciflow/b200/168195 2025-12-04T09:33:41.7571851Z * [new tag] ciflow/b200/169200 -> ciflow/b200/169200 2025-12-04T09:33:41.7573036Z * [new tag] ciflow/b200/169216 -> ciflow/b200/169216 2025-12-04T09:33:41.7574274Z * [new tag] ciflow/b200/169380 -> ciflow/b200/169380 2025-12-04T09:33:41.7575564Z * [new tag] ciflow/b200/169412 -> ciflow/b200/169412 2025-12-04T09:33:41.7576511Z * [new tag] ciflow/b200/169470 -> ciflow/b200/169470 2025-12-04T09:33:41.7577397Z * [new tag] ciflow/b200/169471 -> ciflow/b200/169471 2025-12-04T09:33:41.7578246Z * [new tag] ciflow/b200/169472 -> ciflow/b200/169472 2025-12-04T09:33:41.7579517Z * [new tag] ciflow/b200/169514 -> ciflow/b200/169514 2025-12-04T09:33:41.7580286Z * [new tag] ciflow/b200/169517 -> ciflow/b200/169517 2025-12-04T09:33:41.7581518Z * [new tag] ciflow/binaries/165922 -> ciflow/binaries/165922 2025-12-04T09:33:41.7582495Z * [new tag] ciflow/binaries/169510 -> ciflow/binaries/169510 2025-12-04T09:33:41.7583814Z * [new tag] ciflow/binaries_wheel/157994 -> ciflow/binaries_wheel/157994 2025-12-04T09:33:41.7584610Z * [new tag] ciflow/binaries_wheel/166829 -> ciflow/binaries_wheel/166829 2025-12-04T09:33:41.7585446Z * [new tag] ciflow/binaries_wheel/167972 -> ciflow/binaries_wheel/167972 2025-12-04T09:33:41.7586462Z * [new tag] ciflow/binaries_wheel/167981 -> ciflow/binaries_wheel/167981 2025-12-04T09:33:41.7587466Z * [new tag] ciflow/dynamo/167695 -> ciflow/dynamo/167695 2025-12-04T09:33:41.7588240Z * [new tag] ciflow/dynamo/168096 -> ciflow/dynamo/168096 2025-12-04T09:33:41.7589211Z * [new tag] ciflow/dynamo/169525 -> ciflow/dynamo/169525 2025-12-04T09:33:41.7590294Z * [new tag] ciflow/h100-cutlass-backend/161938 -> ciflow/h100-cutlass-backend/161938 2025-12-04T09:33:41.7591189Z * [new tag] ciflow/h100-cutlass-backend/161940 -> ciflow/h100-cutlass-backend/161940 2025-12-04T09:33:41.7592161Z * [new tag] ciflow/h100-distributed/168923 -> ciflow/h100-distributed/168923 2025-12-04T09:33:41.7593081Z * [new tag] ciflow/h100-symm-mem/167552 -> ciflow/h100-symm-mem/167552 2025-12-04T09:33:41.7593907Z * [new tag] ciflow/h100-symm-mem/168129 -> ciflow/h100-symm-mem/168129 2025-12-04T09:33:41.7594746Z * [new tag] ciflow/h100-symm-mem/168917 -> ciflow/h100-symm-mem/168917 2025-12-04T09:33:41.7596035Z * [new tag] ciflow/h100-symm-mem/169156 -> ciflow/h100-symm-mem/169156 2025-12-04T09:33:41.7596842Z * [new tag] ciflow/h100-symm-mem/169200 -> ciflow/h100-symm-mem/169200 2025-12-04T09:33:41.7597667Z * [new tag] ciflow/h100-symm-mem/169216 -> ciflow/h100-symm-mem/169216 2025-12-04T09:33:41.7598559Z * [new tag] ciflow/h100-symm-mem/169338 -> ciflow/h100-symm-mem/169338 2025-12-04T09:33:41.7599496Z * [new tag] ciflow/h100-symm-mem/169355 -> ciflow/h100-symm-mem/169355 2025-12-04T09:33:41.7600446Z * [new tag] ciflow/h100-symm-mem/169543 -> ciflow/h100-symm-mem/169543 2025-12-04T09:33:41.7601648Z * [new tag] ciflow/h100/115316 -> ciflow/h100/115316 2025-12-04T09:33:41.7602393Z * [new tag] ciflow/h100/160685 -> ciflow/h100/160685 2025-12-04T09:33:41.7603174Z * [new tag] ciflow/h100/160729 -> ciflow/h100/160729 2025-12-04T09:33:41.7603995Z * [new tag] ciflow/h100/161607 -> ciflow/h100/161607 2025-12-04T09:33:41.7604835Z * [new tag] ciflow/h100/161938 -> ciflow/h100/161938 2025-12-04T09:33:41.7605734Z * [new tag] ciflow/h100/167207 -> ciflow/h100/167207 2025-12-04T09:33:41.7606472Z * [new tag] ciflow/h100/167989 -> ciflow/h100/167989 2025-12-04T09:33:41.7607242Z * [new tag] ciflow/h100/168096 -> ciflow/h100/168096 2025-12-04T09:33:41.7608078Z * [new tag] ciflow/h100/168175 -> ciflow/h100/168175 2025-12-04T09:33:41.7608852Z * [new tag] ciflow/h100/168195 -> ciflow/h100/168195 2025-12-04T09:33:41.7609667Z * [new tag] ciflow/h100/168980 -> ciflow/h100/168980 2025-12-04T09:33:41.7610894Z * [new tag] ciflow/h100/169200 -> ciflow/h100/169200 2025-12-04T09:33:41.7611964Z * [new tag] ciflow/h100/169216 -> ciflow/h100/169216 2025-12-04T09:33:41.7612942Z * [new tag] ciflow/h100/169380 -> ciflow/h100/169380 2025-12-04T09:33:41.7613780Z * [new tag] ciflow/h100/169412 -> ciflow/h100/169412 2025-12-04T09:33:41.7614632Z * [new tag] ciflow/h100/169470 -> ciflow/h100/169470 2025-12-04T09:33:41.7615530Z * [new tag] ciflow/h100/169471 -> ciflow/h100/169471 2025-12-04T09:33:41.7616400Z * [new tag] ciflow/h100/169472 -> ciflow/h100/169472 2025-12-04T09:33:41.7617219Z * [new tag] ciflow/h100/169514 -> ciflow/h100/169514 2025-12-04T09:33:41.7618431Z * [new tag] ciflow/inductor-cu126/168096 -> ciflow/inductor-cu126/168096 2025-12-04T09:33:41.7619715Z * [new tag] ciflow/inductor-micro-benchmark-cpu-x86/168096 -> ciflow/inductor-micro-benchmark-cpu-x86/168096 2025-12-04T09:33:41.7620550Z * [new tag] ciflow/inductor-micro-benchmark/166165 -> ciflow/inductor-micro-benchmark/166165 2025-12-04T09:33:41.7621420Z * [new tag] ciflow/inductor-micro-benchmark/168096 -> ciflow/inductor-micro-benchmark/168096 2025-12-04T09:33:41.7622374Z * [new tag] ciflow/inductor-perf-compare/168096 -> ciflow/inductor-perf-compare/168096 2025-12-04T09:33:41.7624013Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/168073 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168073 2025-12-04T09:33:41.7624771Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/168096 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168096 2025-12-04T09:33:41.7625726Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi300/169024 2025-12-04T09:33:41.7626747Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi355/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi355/169024 2025-12-04T09:33:41.7627632Z * [new tag] ciflow/inductor-perf-test-nightly/168096 -> ciflow/inductor-perf-test-nightly/168096 2025-12-04T09:33:41.7628541Z * [new tag] ciflow/inductor-periodic/168096 -> ciflow/inductor-periodic/168096 2025-12-04T09:33:41.7629364Z * [new tag] ciflow/inductor-periodic/169024 -> ciflow/inductor-periodic/169024 2025-12-04T09:33:41.7630444Z * [new tag] ciflow/inductor-periodic/169425 -> ciflow/inductor-periodic/169425 2025-12-04T09:33:41.7631593Z * [new tag] ciflow/inductor-rocm-mi200/165545 -> ciflow/inductor-rocm-mi200/165545 2025-12-04T09:33:41.7632438Z * [new tag] ciflow/inductor-rocm-mi200/165997 -> ciflow/inductor-rocm-mi200/165997 2025-12-04T09:33:41.7633268Z * [new tag] ciflow/inductor-rocm-mi200/168096 -> ciflow/inductor-rocm-mi200/168096 2025-12-04T09:33:41.7634193Z * [new tag] ciflow/inductor-rocm-mi200/169063 -> ciflow/inductor-rocm-mi200/169063 2025-12-04T09:33:41.7635103Z * [new tag] ciflow/inductor-rocm-mi200/169425 -> ciflow/inductor-rocm-mi200/169425 2025-12-04T09:33:41.7636324Z * [new tag] ciflow/inductor-rocm-mi300/165545 -> ciflow/inductor-rocm-mi300/165545 2025-12-04T09:33:41.7637010Z * [new tag] ciflow/inductor-rocm-mi300/168096 -> ciflow/inductor-rocm-mi300/168096 2025-12-04T09:33:41.7637858Z * [new tag] ciflow/inductor-rocm-mi300/169063 -> ciflow/inductor-rocm-mi300/169063 2025-12-04T09:33:41.7638661Z * [new tag] ciflow/inductor-rocm-mi300/169425 -> ciflow/inductor-rocm-mi300/169425 2025-12-04T09:33:41.7639831Z * [new tag] ciflow/inductor-rocm/162052 -> ciflow/inductor-rocm/162052 2025-12-04T09:33:41.7640539Z * [new tag] ciflow/inductor-rocm/168971 -> ciflow/inductor-rocm/168971 2025-12-04T09:33:41.7641638Z * [new tag] ciflow/inductor-windows/168096 -> ciflow/inductor-windows/168096 2025-12-04T09:33:41.7642519Z * [new tag] ciflow/inductor/144542 -> ciflow/inductor/144542 2025-12-04T09:33:41.7643324Z * [new tag] ciflow/inductor/146506 -> ciflow/inductor/146506 2025-12-04T09:33:41.7644185Z * [new tag] ciflow/inductor/147990 -> ciflow/inductor/147990 2025-12-04T09:33:41.7645278Z * [new tag] ciflow/inductor/148294 -> ciflow/inductor/148294 2025-12-04T09:33:41.7646002Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-12-04T09:33:41.7646820Z * [new tag] ciflow/inductor/157149 -> ciflow/inductor/157149 2025-12-04T09:33:41.7647622Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-12-04T09:33:41.7648467Z * [new tag] ciflow/inductor/160685 -> ciflow/inductor/160685 2025-12-04T09:33:41.7649300Z * [new tag] ciflow/inductor/160686 -> ciflow/inductor/160686 2025-12-04T09:33:41.7650227Z * [new tag] ciflow/inductor/160687 -> ciflow/inductor/160687 2025-12-04T09:33:41.7651024Z * [new tag] ciflow/inductor/160688 -> ciflow/inductor/160688 2025-12-04T09:33:41.7652223Z * [new tag] ciflow/inductor/160706 -> ciflow/inductor/160706 2025-12-04T09:33:41.7653380Z * [new tag] ciflow/inductor/160729 -> ciflow/inductor/160729 2025-12-04T09:33:41.7654394Z * [new tag] ciflow/inductor/161938 -> ciflow/inductor/161938 2025-12-04T09:33:41.7655238Z * [new tag] ciflow/inductor/161939 -> ciflow/inductor/161939 2025-12-04T09:33:41.7656110Z * [new tag] ciflow/inductor/161940 -> ciflow/inductor/161940 2025-12-04T09:33:41.7656963Z * [new tag] ciflow/inductor/162052 -> ciflow/inductor/162052 2025-12-04T09:33:41.7657797Z * [new tag] ciflow/inductor/162275 -> ciflow/inductor/162275 2025-12-04T09:33:41.7658638Z * [new tag] ciflow/inductor/162795 -> ciflow/inductor/162795 2025-12-04T09:33:41.7659811Z * [new tag] ciflow/inductor/163245 -> ciflow/inductor/163245 2025-12-04T09:33:41.7660604Z * [new tag] ciflow/inductor/163335 -> ciflow/inductor/163335 2025-12-04T09:33:41.7661418Z * [new tag] ciflow/inductor/163503 -> ciflow/inductor/163503 2025-12-04T09:33:41.7662313Z * [new tag] ciflow/inductor/163942 -> ciflow/inductor/163942 2025-12-04T09:33:41.7663314Z * [new tag] ciflow/inductor/165270 -> ciflow/inductor/165270 2025-12-04T09:33:41.7664190Z * [new tag] ciflow/inductor/165274 -> ciflow/inductor/165274 2025-12-04T09:33:41.7665020Z * [new tag] ciflow/inductor/165322 -> ciflow/inductor/165322 2025-12-04T09:33:41.7665873Z * [new tag] ciflow/inductor/165597 -> ciflow/inductor/165597 2025-12-04T09:33:41.7666745Z * [new tag] ciflow/inductor/166063 -> ciflow/inductor/166063 2025-12-04T09:33:41.7667588Z * [new tag] ciflow/inductor/166075 -> ciflow/inductor/166075 2025-12-04T09:33:41.7668580Z * [new tag] ciflow/inductor/166165 -> ciflow/inductor/166165 2025-12-04T09:33:41.7669717Z * [new tag] ciflow/inductor/166254 -> ciflow/inductor/166254 2025-12-04T09:33:41.7670482Z * [new tag] ciflow/inductor/166483 -> ciflow/inductor/166483 2025-12-04T09:33:41.7671304Z * [new tag] ciflow/inductor/166494 -> ciflow/inductor/166494 2025-12-04T09:33:41.7672152Z * [new tag] ciflow/inductor/166545 -> ciflow/inductor/166545 2025-12-04T09:33:41.7673010Z * [new tag] ciflow/inductor/166788 -> ciflow/inductor/166788 2025-12-04T09:33:41.7674276Z * [new tag] ciflow/inductor/166846 -> ciflow/inductor/166846 2025-12-04T09:33:41.7675043Z * [new tag] ciflow/inductor/167300 -> ciflow/inductor/167300 2025-12-04T09:33:41.7675931Z * [new tag] ciflow/inductor/167407 -> ciflow/inductor/167407 2025-12-04T09:33:41.7677068Z * [new tag] ciflow/inductor/167536 -> ciflow/inductor/167536 2025-12-04T09:33:41.7677879Z * [new tag] ciflow/inductor/167552 -> ciflow/inductor/167552 2025-12-04T09:33:41.7678690Z * [new tag] ciflow/inductor/167555 -> ciflow/inductor/167555 2025-12-04T09:33:41.7679726Z * [new tag] ciflow/inductor/167583 -> ciflow/inductor/167583 2025-12-04T09:33:41.7680537Z * [new tag] ciflow/inductor/167599 -> ciflow/inductor/167599 2025-12-04T09:33:41.7681446Z * [new tag] ciflow/inductor/167647 -> ciflow/inductor/167647 2025-12-04T09:33:41.7682810Z * [new tag] ciflow/inductor/167677 -> ciflow/inductor/167677 2025-12-04T09:33:41.7683628Z * [new tag] ciflow/inductor/167680 -> ciflow/inductor/167680 2025-12-04T09:33:41.7684494Z * [new tag] ciflow/inductor/167695 -> ciflow/inductor/167695 2025-12-04T09:33:41.7685396Z * [new tag] ciflow/inductor/167742 -> ciflow/inductor/167742 2025-12-04T09:33:41.7686223Z * [new tag] ciflow/inductor/167768 -> ciflow/inductor/167768 2025-12-04T09:33:41.7687414Z * [new tag] ciflow/inductor/167773 -> ciflow/inductor/167773 2025-12-04T09:33:41.7688269Z * [new tag] ciflow/inductor/167781 -> ciflow/inductor/167781 2025-12-04T09:33:41.7689151Z * [new tag] ciflow/inductor/167880 -> ciflow/inductor/167880 2025-12-04T09:33:41.7690046Z * [new tag] ciflow/inductor/167887 -> ciflow/inductor/167887 2025-12-04T09:33:41.7690901Z * [new tag] ciflow/inductor/167972 -> ciflow/inductor/167972 2025-12-04T09:33:41.7691740Z * [new tag] ciflow/inductor/167989 -> ciflow/inductor/167989 2025-12-04T09:33:41.7692661Z * [new tag] ciflow/inductor/168002 -> ciflow/inductor/168002 2025-12-04T09:33:41.7693456Z * [new tag] ciflow/inductor/168050 -> ciflow/inductor/168050 2025-12-04T09:33:41.7694335Z * [new tag] ciflow/inductor/168051 -> ciflow/inductor/168051 2025-12-04T09:33:41.7695181Z * [new tag] ciflow/inductor/168052 -> ciflow/inductor/168052 2025-12-04T09:33:41.7696022Z * [new tag] ciflow/inductor/168073 -> ciflow/inductor/168073 2025-12-04T09:33:41.7696885Z * [new tag] ciflow/inductor/168096 -> ciflow/inductor/168096 2025-12-04T09:33:41.7697781Z * [new tag] ciflow/inductor/168114 -> ciflow/inductor/168114 2025-12-04T09:33:41.7698662Z * [new tag] ciflow/inductor/168115 -> ciflow/inductor/168115 2025-12-04T09:33:41.7699464Z * [new tag] ciflow/inductor/168127 -> ciflow/inductor/168127 2025-12-04T09:33:41.7700439Z * [new tag] ciflow/inductor/168129 -> ciflow/inductor/168129 2025-12-04T09:33:41.7701408Z * [new tag] ciflow/inductor/168157 -> ciflow/inductor/168157 2025-12-04T09:33:41.7702432Z * [new tag] ciflow/inductor/168175 -> ciflow/inductor/168175 2025-12-04T09:33:41.7703292Z * [new tag] ciflow/inductor/168185 -> ciflow/inductor/168185 2025-12-04T09:33:41.7704090Z * [new tag] ciflow/inductor/168195 -> ciflow/inductor/168195 2025-12-04T09:33:41.7704962Z * [new tag] ciflow/inductor/168209 -> ciflow/inductor/168209 2025-12-04T09:33:41.7705831Z * [new tag] ciflow/inductor/168266 -> ciflow/inductor/168266 2025-12-04T09:33:41.7706659Z * [new tag] ciflow/inductor/168316 -> ciflow/inductor/168316 2025-12-04T09:33:41.7707800Z * [new tag] ciflow/inductor/168326 -> ciflow/inductor/168326 2025-12-04T09:33:41.7708568Z * [new tag] ciflow/inductor/168368 -> ciflow/inductor/168368 2025-12-04T09:33:41.7709443Z * [new tag] ciflow/inductor/168894 -> ciflow/inductor/168894 2025-12-04T09:33:41.7710265Z * [new tag] ciflow/inductor/168934 -> ciflow/inductor/168934 2025-12-04T09:33:41.7711138Z * [new tag] ciflow/inductor/168939 -> ciflow/inductor/168939 2025-12-04T09:33:41.7711965Z * [new tag] ciflow/inductor/168946 -> ciflow/inductor/168946 2025-12-04T09:33:41.7712890Z * [new tag] ciflow/inductor/168950 -> ciflow/inductor/168950 2025-12-04T09:33:41.7713694Z * [new tag] ciflow/inductor/168951 -> ciflow/inductor/168951 2025-12-04T09:33:41.7714521Z * [new tag] ciflow/inductor/168952 -> ciflow/inductor/168952 2025-12-04T09:33:41.7715381Z * [new tag] ciflow/inductor/168955 -> ciflow/inductor/168955 2025-12-04T09:33:41.7716345Z * [new tag] ciflow/inductor/168971 -> ciflow/inductor/168971 2025-12-04T09:33:41.7717214Z * [new tag] ciflow/inductor/168979 -> ciflow/inductor/168979 2025-12-04T09:33:41.7718077Z * [new tag] ciflow/inductor/168980 -> ciflow/inductor/168980 2025-12-04T09:33:41.7719073Z * [new tag] ciflow/inductor/168983 -> ciflow/inductor/168983 2025-12-04T09:33:41.7719964Z * [new tag] ciflow/inductor/169006 -> ciflow/inductor/169006 2025-12-04T09:33:41.7720872Z * [new tag] ciflow/inductor/169023 -> ciflow/inductor/169023 2025-12-04T09:33:41.7721728Z * [new tag] ciflow/inductor/169024 -> ciflow/inductor/169024 2025-12-04T09:33:41.7722574Z * [new tag] ciflow/inductor/169025 -> ciflow/inductor/169025 2025-12-04T09:33:41.7723437Z * [new tag] ciflow/inductor/169066 -> ciflow/inductor/169066 2025-12-04T09:33:41.7724286Z * [new tag] ciflow/inductor/169091 -> ciflow/inductor/169091 2025-12-04T09:33:41.7725144Z * [new tag] ciflow/inductor/169102 -> ciflow/inductor/169102 2025-12-04T09:33:41.7726028Z * [new tag] ciflow/inductor/169103 -> ciflow/inductor/169103 2025-12-04T09:33:41.7726873Z * [new tag] ciflow/inductor/169121 -> ciflow/inductor/169121 2025-12-04T09:33:41.7727714Z * [new tag] ciflow/inductor/169134 -> ciflow/inductor/169134 2025-12-04T09:33:41.7728572Z * [new tag] ciflow/inductor/169135 -> ciflow/inductor/169135 2025-12-04T09:33:41.7729429Z * [new tag] ciflow/inductor/169141 -> ciflow/inductor/169141 2025-12-04T09:33:41.7730316Z * [new tag] ciflow/inductor/169151 -> ciflow/inductor/169151 2025-12-04T09:33:41.7731448Z * [new tag] ciflow/inductor/169161 -> ciflow/inductor/169161 2025-12-04T09:33:41.7732261Z * [new tag] ciflow/inductor/169167 -> ciflow/inductor/169167 2025-12-04T09:33:41.7733368Z * [new tag] ciflow/inductor/169177 -> ciflow/inductor/169177 2025-12-04T09:33:41.7734461Z * [new tag] ciflow/inductor/169185 -> ciflow/inductor/169185 2025-12-04T09:33:41.7735178Z * [new tag] ciflow/inductor/169196 -> ciflow/inductor/169196 2025-12-04T09:33:41.7736023Z * [new tag] ciflow/inductor/169200 -> ciflow/inductor/169200 2025-12-04T09:33:41.7736897Z * [new tag] ciflow/inductor/169204 -> ciflow/inductor/169204 2025-12-04T09:33:41.7737798Z * [new tag] ciflow/inductor/169216 -> ciflow/inductor/169216 2025-12-04T09:33:41.7738624Z * [new tag] ciflow/inductor/169219 -> ciflow/inductor/169219 2025-12-04T09:33:41.7740031Z * [new tag] ciflow/inductor/169220 -> ciflow/inductor/169220 2025-12-04T09:33:41.7741221Z * [new tag] ciflow/inductor/169230 -> ciflow/inductor/169230 2025-12-04T09:33:41.7742004Z * [new tag] ciflow/inductor/169242 -> ciflow/inductor/169242 2025-12-04T09:33:41.7742823Z * [new tag] ciflow/inductor/169245 -> ciflow/inductor/169245 2025-12-04T09:33:41.7744002Z * [new tag] ciflow/inductor/169260 -> ciflow/inductor/169260 2025-12-04T09:33:41.7744767Z * [new tag] ciflow/inductor/169282 -> ciflow/inductor/169282 2025-12-04T09:33:41.7745688Z * [new tag] ciflow/inductor/169286 -> ciflow/inductor/169286 2025-12-04T09:33:41.7746516Z * [new tag] ciflow/inductor/169299 -> ciflow/inductor/169299 2025-12-04T09:33:41.7747715Z * [new tag] ciflow/inductor/169304 -> ciflow/inductor/169304 2025-12-04T09:33:41.7748952Z * [new tag] ciflow/inductor/169305 -> ciflow/inductor/169305 2025-12-04T09:33:41.7749786Z * [new tag] ciflow/inductor/169308 -> ciflow/inductor/169308 2025-12-04T09:33:41.7750617Z * [new tag] ciflow/inductor/169319 -> ciflow/inductor/169319 2025-12-04T09:33:41.7751452Z * [new tag] ciflow/inductor/169326 -> ciflow/inductor/169326 2025-12-04T09:33:41.7752365Z * [new tag] ciflow/inductor/169332 -> ciflow/inductor/169332 2025-12-04T09:33:41.7753190Z * [new tag] ciflow/inductor/169333 -> ciflow/inductor/169333 2025-12-04T09:33:41.7754374Z * [new tag] ciflow/inductor/169336 -> ciflow/inductor/169336 2025-12-04T09:33:41.7755187Z * [new tag] ciflow/inductor/169340 -> ciflow/inductor/169340 2025-12-04T09:33:41.7756170Z * [new tag] ciflow/inductor/169341 -> ciflow/inductor/169341 2025-12-04T09:33:41.7757063Z * [new tag] ciflow/inductor/169343 -> ciflow/inductor/169343 2025-12-04T09:33:41.7757927Z * [new tag] ciflow/inductor/169346 -> ciflow/inductor/169346 2025-12-04T09:33:41.7759151Z * [new tag] ciflow/inductor/169348 -> ciflow/inductor/169348 2025-12-04T09:33:41.7759972Z * [new tag] ciflow/inductor/169350 -> ciflow/inductor/169350 2025-12-04T09:33:41.7760817Z * [new tag] ciflow/inductor/169355 -> ciflow/inductor/169355 2025-12-04T09:33:41.7761805Z * [new tag] ciflow/inductor/169370 -> ciflow/inductor/169370 2025-12-04T09:33:41.7763073Z * [new tag] ciflow/inductor/169375 -> ciflow/inductor/169375 2025-12-04T09:33:41.7763939Z * [new tag] ciflow/inductor/169389 -> ciflow/inductor/169389 2025-12-04T09:33:41.7764761Z * [new tag] ciflow/inductor/169391 -> ciflow/inductor/169391 2025-12-04T09:33:41.7765628Z * [new tag] ciflow/inductor/169393 -> ciflow/inductor/169393 2025-12-04T09:33:41.7766516Z * [new tag] ciflow/inductor/169399 -> ciflow/inductor/169399 2025-12-04T09:33:41.7767670Z * [new tag] ciflow/inductor/169400 -> ciflow/inductor/169400 2025-12-04T09:33:41.7768455Z * [new tag] ciflow/inductor/169415 -> ciflow/inductor/169415 2025-12-04T09:33:41.7769420Z * [new tag] ciflow/inductor/169417 -> ciflow/inductor/169417 2025-12-04T09:33:41.7770238Z * [new tag] ciflow/inductor/169418 -> ciflow/inductor/169418 2025-12-04T09:33:41.7771425Z * [new tag] ciflow/inductor/169430 -> ciflow/inductor/169430 2025-12-04T09:33:41.7772217Z * [new tag] ciflow/inductor/169432 -> ciflow/inductor/169432 2025-12-04T09:33:41.7773057Z * [new tag] ciflow/inductor/169436 -> ciflow/inductor/169436 2025-12-04T09:33:41.7774055Z * [new tag] ciflow/inductor/169437 -> ciflow/inductor/169437 2025-12-04T09:33:41.7774948Z * [new tag] ciflow/inductor/169438 -> ciflow/inductor/169438 2025-12-04T09:33:41.7775798Z * [new tag] ciflow/inductor/169441 -> ciflow/inductor/169441 2025-12-04T09:33:41.7776680Z * [new tag] ciflow/inductor/169446 -> ciflow/inductor/169446 2025-12-04T09:33:41.7777903Z * [new tag] ciflow/inductor/169447 -> ciflow/inductor/169447 2025-12-04T09:33:41.7778745Z * [new tag] ciflow/inductor/169452 -> ciflow/inductor/169452 2025-12-04T09:33:41.7779743Z * [new tag] ciflow/inductor/169455 -> ciflow/inductor/169455 2025-12-04T09:33:41.7780652Z * [new tag] ciflow/inductor/169459 -> ciflow/inductor/169459 2025-12-04T09:33:41.7781648Z * [new tag] ciflow/inductor/169463 -> ciflow/inductor/169463 2025-12-04T09:33:41.7782642Z * [new tag] ciflow/inductor/169476 -> ciflow/inductor/169476 2025-12-04T09:33:41.7783537Z * [new tag] ciflow/inductor/169485 -> ciflow/inductor/169485 2025-12-04T09:33:41.7784399Z * [new tag] ciflow/inductor/169493 -> ciflow/inductor/169493 2025-12-04T09:33:41.7785286Z * [new tag] ciflow/inductor/169496 -> ciflow/inductor/169496 2025-12-04T09:33:41.7786221Z * [new tag] ciflow/inductor/169497 -> ciflow/inductor/169497 2025-12-04T09:33:41.7787069Z * [new tag] ciflow/inductor/169503 -> ciflow/inductor/169503 2025-12-04T09:33:41.7787953Z * [new tag] ciflow/inductor/169504 -> ciflow/inductor/169504 2025-12-04T09:33:41.7789185Z * [new tag] ciflow/inductor/169505 -> ciflow/inductor/169505 2025-12-04T09:33:41.7790587Z * [new tag] ciflow/inductor/169508 -> ciflow/inductor/169508 2025-12-04T09:33:41.7791353Z * [new tag] ciflow/inductor/169509 -> ciflow/inductor/169509 2025-12-04T09:33:41.7792464Z * [new tag] ciflow/inductor/169513 -> ciflow/inductor/169513 2025-12-04T09:33:41.7793270Z * [new tag] ciflow/inductor/169514 -> ciflow/inductor/169514 2025-12-04T09:33:41.7794150Z * [new tag] ciflow/inductor/169515 -> ciflow/inductor/169515 2025-12-04T09:33:41.7795009Z * [new tag] ciflow/inductor/169517 -> ciflow/inductor/169517 2025-12-04T09:33:41.7795893Z * [new tag] ciflow/inductor/169519 -> ciflow/inductor/169519 2025-12-04T09:33:41.7796878Z * [new tag] ciflow/inductor/169520 -> ciflow/inductor/169520 2025-12-04T09:33:41.7797841Z * [new tag] ciflow/inductor/169521 -> ciflow/inductor/169521 2025-12-04T09:33:41.7798662Z * [new tag] ciflow/inductor/169524 -> ciflow/inductor/169524 2025-12-04T09:33:41.7799577Z * [new tag] ciflow/inductor/169527 -> ciflow/inductor/169527 2025-12-04T09:33:41.7801142Z * [new tag] ciflow/inductor/169528 -> ciflow/inductor/169528 2025-12-04T09:33:41.7802174Z * [new tag] ciflow/inductor/169532 -> ciflow/inductor/169532 2025-12-04T09:33:41.7802972Z * [new tag] ciflow/inductor/169535 -> ciflow/inductor/169535 2025-12-04T09:33:41.7803849Z * [new tag] ciflow/inductor/169536 -> ciflow/inductor/169536 2025-12-04T09:33:41.7804879Z * [new tag] ciflow/inductor/169547 -> ciflow/inductor/169547 2025-12-04T09:33:41.7805680Z * [new tag] ciflow/inductor/169548 -> ciflow/inductor/169548 2025-12-04T09:33:41.7806518Z * [new tag] ciflow/inductor/169549 -> ciflow/inductor/169549 2025-12-04T09:33:41.7807378Z * [new tag] ciflow/inductor/169551 -> ciflow/inductor/169551 2025-12-04T09:33:41.7808283Z * [new tag] ciflow/inductor/169552 -> ciflow/inductor/169552 2025-12-04T09:33:41.7809112Z * [new tag] ciflow/inductor/169553 -> ciflow/inductor/169553 2025-12-04T09:33:41.7809971Z * [new tag] ciflow/inductor/169557 -> ciflow/inductor/169557 2025-12-04T09:33:41.7811221Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-12-04T09:33:41.7812241Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-12-04T09:33:41.7813257Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-12-04T09:33:41.7814285Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-12-04T09:33:41.7815124Z * [new tag] ciflow/linux-aarch64/166075 -> ciflow/linux-aarch64/166075 2025-12-04T09:33:41.7816004Z * [new tag] ciflow/linux-aarch64/166876 -> ciflow/linux-aarch64/166876 2025-12-04T09:33:41.7816772Z * [new tag] ciflow/linux-aarch64/167981 -> ciflow/linux-aarch64/167981 2025-12-04T09:33:41.7817754Z * [new tag] ciflow/mps/166254 -> ciflow/mps/166254 2025-12-04T09:33:41.7818561Z * [new tag] ciflow/mps/169017 -> ciflow/mps/169017 2025-12-04T09:33:41.7819540Z * [new tag] ciflow/mps/169372 -> ciflow/mps/169372 2025-12-04T09:33:41.7820450Z * [new tag] ciflow/mps/169478 -> ciflow/mps/169478 2025-12-04T09:33:41.7821533Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-12-04T09:33:41.7822377Z * [new tag] ciflow/op-benchmark/166075 -> ciflow/op-benchmark/166075 2025-12-04T09:33:41.7823195Z * [new tag] ciflow/op-benchmark/169544 -> ciflow/op-benchmark/169544 2025-12-04T09:33:41.7824283Z * [new tag] ciflow/periodic-rocm-mi200/165997 -> ciflow/periodic-rocm-mi200/165997 2025-12-04T09:33:41.7825230Z * [new tag] ciflow/periodic-rocm-mi200/166517 -> ciflow/periodic-rocm-mi200/166517 2025-12-04T09:33:41.7826049Z * [new tag] ciflow/periodic-rocm-mi200/169063 -> ciflow/periodic-rocm-mi200/169063 2025-12-04T09:33:41.7826939Z * [new tag] ciflow/periodic-rocm-mi200/169425 -> ciflow/periodic-rocm-mi200/169425 2025-12-04T09:33:41.7827955Z * [new tag] ciflow/periodic-rocm-mi300/166517 -> ciflow/periodic-rocm-mi300/166517 2025-12-04T09:33:41.7828745Z * [new tag] ciflow/periodic-rocm-mi300/169063 -> ciflow/periodic-rocm-mi300/169063 2025-12-04T09:33:41.7829564Z * [new tag] ciflow/periodic-rocm-mi300/169425 -> ciflow/periodic-rocm-mi300/169425 2025-12-04T09:33:41.7830929Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-12-04T09:33:41.7831679Z * [new tag] ciflow/periodic/167207 -> ciflow/periodic/167207 2025-12-04T09:33:41.7832493Z * [new tag] ciflow/periodic/167978 -> ciflow/periodic/167978 2025-12-04T09:33:41.7833369Z * [new tag] ciflow/periodic/168096 -> ciflow/periodic/168096 2025-12-04T09:33:41.7834194Z * [new tag] ciflow/periodic/169286 -> ciflow/periodic/169286 2025-12-04T09:33:41.7835286Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-12-04T09:33:41.7836455Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-12-04T09:33:41.7837595Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-12-04T09:33:41.7838468Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-12-04T09:33:41.7840173Z * [new tag] ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 2025-12-04T09:33:41.7841223Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-12-04T09:33:41.7842613Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-12-04T09:33:41.7843724Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-12-04T09:33:41.7844688Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-12-04T09:33:41.7845892Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-12-04T09:33:41.7847084Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-12-04T09:33:41.7848369Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-12-04T09:33:41.7849408Z * [new tag] ciflow/pull/167207 -> ciflow/pull/167207 2025-12-04T09:33:41.7850598Z * [new tag] ciflow/quantization-periodic/169207 -> ciflow/quantization-periodic/169207 2025-12-04T09:33:41.7851485Z * [new tag] ciflow/rocm-mi200/165545 -> ciflow/rocm-mi200/165545 2025-12-04T09:33:41.7852368Z * [new tag] ciflow/rocm-mi200/165997 -> ciflow/rocm-mi200/165997 2025-12-04T09:33:41.7853173Z * [new tag] ciflow/rocm-mi200/168096 -> ciflow/rocm-mi200/168096 2025-12-04T09:33:41.7854271Z * [new tag] ciflow/rocm-mi200/168275 -> ciflow/rocm-mi200/168275 2025-12-04T09:33:41.7854987Z * [new tag] ciflow/rocm-mi200/169063 -> ciflow/rocm-mi200/169063 2025-12-04T09:33:41.7856069Z * [new tag] ciflow/rocm-mi200/169356 -> ciflow/rocm-mi200/169356 2025-12-04T09:33:41.7856919Z * [new tag] ciflow/rocm-mi200/169425 -> ciflow/rocm-mi200/169425 2025-12-04T09:33:41.7857905Z * [new tag] ciflow/rocm-mi300/165545 -> ciflow/rocm-mi300/165545 2025-12-04T09:33:41.7858919Z * [new tag] ciflow/rocm-mi300/167157 -> ciflow/rocm-mi300/167157 2025-12-04T09:33:41.7859744Z * [new tag] ciflow/rocm-mi300/168096 -> ciflow/rocm-mi300/168096 2025-12-04T09:33:41.7860565Z * [new tag] ciflow/rocm-mi300/169063 -> ciflow/rocm-mi300/169063 2025-12-04T09:33:41.7861369Z * [new tag] ciflow/rocm-mi300/169425 -> ciflow/rocm-mi300/169425 2025-12-04T09:33:41.7862389Z * [new tag] ciflow/rocm-mi355/167157 -> ciflow/rocm-mi355/167157 2025-12-04T09:33:41.7863207Z * [new tag] ciflow/rocm-mi355/168275 -> ciflow/rocm-mi355/168275 2025-12-04T09:33:41.7864164Z * [new tag] ciflow/rocm-mi355/169425 -> ciflow/rocm-mi355/169425 2025-12-04T09:33:41.7865132Z * [new tag] ciflow/rocm-navi31/168275 -> ciflow/rocm-navi31/168275 2025-12-04T09:33:41.7865962Z * [new tag] ciflow/rocm-navi31/169425 -> ciflow/rocm-navi31/169425 2025-12-04T09:33:41.7866913Z * [new tag] ciflow/rocm/115316 -> ciflow/rocm/115316 2025-12-04T09:33:41.7867719Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-12-04T09:33:41.7868557Z * [new tag] ciflow/rocm/160685 -> ciflow/rocm/160685 2025-12-04T09:33:41.7869374Z * [new tag] ciflow/rocm/161607 -> ciflow/rocm/161607 2025-12-04T09:33:41.7870179Z * [new tag] ciflow/rocm/162052 -> ciflow/rocm/162052 2025-12-04T09:33:41.7871107Z * [new tag] ciflow/rocm/165997 -> ciflow/rocm/165997 2025-12-04T09:33:41.7872067Z * [new tag] ciflow/rocm/166165 -> ciflow/rocm/166165 2025-12-04T09:33:41.7872796Z * [new tag] ciflow/rocm/166517 -> ciflow/rocm/166517 2025-12-04T09:33:41.7873579Z * [new tag] ciflow/rocm/167207 -> ciflow/rocm/167207 2025-12-04T09:33:41.7874397Z * [new tag] ciflow/rocm/167536 -> ciflow/rocm/167536 2025-12-04T09:33:41.7875187Z * [new tag] ciflow/rocm/167781 -> ciflow/rocm/167781 2025-12-04T09:33:41.7876596Z * [new tag] ciflow/rocm/167989 -> ciflow/rocm/167989 2025-12-04T09:33:41.7877548Z * [new tag] ciflow/rocm/168073 -> ciflow/rocm/168073 2025-12-04T09:33:41.7878656Z * [new tag] ciflow/rocm/168195 -> ciflow/rocm/168195 2025-12-04T09:33:41.7879467Z * [new tag] ciflow/rocm/168939 -> ciflow/rocm/168939 2025-12-04T09:33:41.7880327Z * [new tag] ciflow/rocm/168971 -> ciflow/rocm/168971 2025-12-04T09:33:41.7881198Z * [new tag] ciflow/rocm/169024 -> ciflow/rocm/169024 2025-12-04T09:33:41.7882042Z * [new tag] ciflow/rocm/169200 -> ciflow/rocm/169200 2025-12-04T09:33:41.7882901Z * [new tag] ciflow/rocm/169216 -> ciflow/rocm/169216 2025-12-04T09:33:41.7883777Z * [new tag] ciflow/rocm/169312 -> ciflow/rocm/169312 2025-12-04T09:33:41.7884587Z * [new tag] ciflow/rocm/169380 -> ciflow/rocm/169380 2025-12-04T09:33:41.7885498Z * [new tag] ciflow/rocm/169427 -> ciflow/rocm/169427 2025-12-04T09:33:41.7886356Z * [new tag] ciflow/rocm/169455 -> ciflow/rocm/169455 2025-12-04T09:33:41.7887216Z * [new tag] ciflow/rocm/169470 -> ciflow/rocm/169470 2025-12-04T09:33:41.7888068Z * [new tag] ciflow/rocm/169471 -> ciflow/rocm/169471 2025-12-04T09:33:41.7888919Z * [new tag] ciflow/rocm/169472 -> ciflow/rocm/169472 2025-12-04T09:33:41.7889779Z * [new tag] ciflow/rocm/169514 -> ciflow/rocm/169514 2025-12-04T09:33:41.7891146Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-12-04T09:33:41.7892051Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-12-04T09:33:41.7893677Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-12-04T09:33:41.7894167Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-12-04T09:33:41.7895044Z * [new tag] ciflow/slow/167207 -> ciflow/slow/167207 2025-12-04T09:33:41.7895826Z * [new tag] ciflow/slow/168050 -> ciflow/slow/168050 2025-12-04T09:33:41.7897017Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-12-04T09:33:41.7898187Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-12-04T09:33:41.7899553Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-12-04T09:33:41.7903129Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-12-04T09:33:41.7904499Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-12-04T09:33:41.7905684Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-12-04T09:33:41.7906676Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-12-04T09:33:41.7907647Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-12-04T09:33:41.7909312Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-12-04T09:33:41.7909907Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-12-04T09:33:41.7911203Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-12-04T09:33:41.7912040Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-12-04T09:33:41.7913178Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-12-04T09:33:41.7914298Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-12-04T09:33:41.7916102Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-12-04T09:33:41.7916690Z * [new tag] ciflow/torchbench/168175 -> ciflow/torchbench/168175 2025-12-04T09:33:41.7917677Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-12-04T09:33:41.7918523Z * [new tag] ciflow/trunk/157149 -> ciflow/trunk/157149 2025-12-04T09:33:41.7919362Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-12-04T09:33:41.7920195Z * [new tag] ciflow/trunk/159718 -> ciflow/trunk/159718 2025-12-04T09:33:41.7921017Z * [new tag] ciflow/trunk/160685 -> ciflow/trunk/160685 2025-12-04T09:33:41.7921854Z * [new tag] ciflow/trunk/160729 -> ciflow/trunk/160729 2025-12-04T09:33:41.7922673Z * [new tag] ciflow/trunk/162275 -> ciflow/trunk/162275 2025-12-04T09:33:41.7923483Z * [new tag] ciflow/trunk/162795 -> ciflow/trunk/162795 2025-12-04T09:33:41.7924290Z * [new tag] ciflow/trunk/163245 -> ciflow/trunk/163245 2025-12-04T09:33:41.7925139Z * [new tag] ciflow/trunk/163942 -> ciflow/trunk/163942 2025-12-04T09:33:41.7925917Z * [new tag] ciflow/trunk/165274 -> ciflow/trunk/165274 2025-12-04T09:33:41.7927258Z * [new tag] ciflow/trunk/165483 -> ciflow/trunk/165483 2025-12-04T09:33:41.7928457Z * [new tag] ciflow/trunk/165728 -> ciflow/trunk/165728 2025-12-04T09:33:41.7929415Z * [new tag] ciflow/trunk/165922 -> ciflow/trunk/165922 2025-12-04T09:33:41.7930241Z * [new tag] ciflow/trunk/166075 -> ciflow/trunk/166075 2025-12-04T09:33:41.7931100Z * [new tag] ciflow/trunk/166165 -> ciflow/trunk/166165 2025-12-04T09:33:41.7931935Z * [new tag] ciflow/trunk/166829 -> ciflow/trunk/166829 2025-12-04T09:33:41.7933204Z * [new tag] ciflow/trunk/166843 -> ciflow/trunk/166843 2025-12-04T09:33:41.7933995Z * [new tag] ciflow/trunk/166876 -> ciflow/trunk/166876 2025-12-04T09:33:41.7934836Z * [new tag] ciflow/trunk/167207 -> ciflow/trunk/167207 2025-12-04T09:33:41.7935657Z * [new tag] ciflow/trunk/167536 -> ciflow/trunk/167536 2025-12-04T09:33:41.7936583Z * [new tag] ciflow/trunk/167552 -> ciflow/trunk/167552 2025-12-04T09:33:41.7937412Z * [new tag] ciflow/trunk/167555 -> ciflow/trunk/167555 2025-12-04T09:33:41.7938318Z * [new tag] ciflow/trunk/167599 -> ciflow/trunk/167599 2025-12-04T09:33:41.7939188Z * [new tag] ciflow/trunk/167659 -> ciflow/trunk/167659 2025-12-04T09:33:41.7940369Z * [new tag] ciflow/trunk/167672 -> ciflow/trunk/167672 2025-12-04T09:33:41.7940969Z * [new tag] ciflow/trunk/167742 -> ciflow/trunk/167742 2025-12-04T09:33:41.7941851Z * [new tag] ciflow/trunk/167781 -> ciflow/trunk/167781 2025-12-04T09:33:41.7942968Z * [new tag] ciflow/trunk/167837 -> ciflow/trunk/167837 2025-12-04T09:33:41.7943775Z * [new tag] ciflow/trunk/167887 -> ciflow/trunk/167887 2025-12-04T09:33:41.7944757Z * [new tag] ciflow/trunk/167978 -> ciflow/trunk/167978 2025-12-04T09:33:41.7945546Z * [new tag] ciflow/trunk/168050 -> ciflow/trunk/168050 2025-12-04T09:33:41.7946370Z * [new tag] ciflow/trunk/168051 -> ciflow/trunk/168051 2025-12-04T09:33:41.7947224Z * [new tag] ciflow/trunk/168096 -> ciflow/trunk/168096 2025-12-04T09:33:41.7948111Z * [new tag] ciflow/trunk/168127 -> ciflow/trunk/168127 2025-12-04T09:33:41.7948976Z * [new tag] ciflow/trunk/168157 -> ciflow/trunk/168157 2025-12-04T09:33:41.7949848Z * [new tag] ciflow/trunk/168175 -> ciflow/trunk/168175 2025-12-04T09:33:41.7950656Z * [new tag] ciflow/trunk/168209 -> ciflow/trunk/168209 2025-12-04T09:33:41.7951753Z * [new tag] ciflow/trunk/168213 -> ciflow/trunk/168213 2025-12-04T09:33:41.7952744Z * [new tag] ciflow/trunk/168226 -> ciflow/trunk/168226 2025-12-04T09:33:41.7953537Z * [new tag] ciflow/trunk/168262 -> ciflow/trunk/168262 2025-12-04T09:33:41.7954504Z * [new tag] ciflow/trunk/168275 -> ciflow/trunk/168275 2025-12-04T09:33:41.7955516Z * [new tag] ciflow/trunk/168328 -> ciflow/trunk/168328 2025-12-04T09:33:41.7956512Z * [new tag] ciflow/trunk/168368 -> ciflow/trunk/168368 2025-12-04T09:33:41.7957378Z * [new tag] ciflow/trunk/168917 -> ciflow/trunk/168917 2025-12-04T09:33:41.7958245Z * [new tag] ciflow/trunk/168933 -> ciflow/trunk/168933 2025-12-04T09:33:41.7959334Z * [new tag] ciflow/trunk/168941 -> ciflow/trunk/168941 2025-12-04T09:33:41.7960158Z * [new tag] ciflow/trunk/168955 -> ciflow/trunk/168955 2025-12-04T09:33:41.7960959Z * [new tag] ciflow/trunk/168980 -> ciflow/trunk/168980 2025-12-04T09:33:41.7962169Z * [new tag] ciflow/trunk/169004 -> ciflow/trunk/169004 2025-12-04T09:33:41.7962948Z * [new tag] ciflow/trunk/169006 -> ciflow/trunk/169006 2025-12-04T09:33:41.7963822Z * [new tag] ciflow/trunk/169023 -> ciflow/trunk/169023 2025-12-04T09:33:41.7964679Z * [new tag] ciflow/trunk/169025 -> ciflow/trunk/169025 2025-12-04T09:33:41.7965681Z * [new tag] ciflow/trunk/169048 -> ciflow/trunk/169048 2025-12-04T09:33:41.7966422Z * [new tag] ciflow/trunk/169066 -> ciflow/trunk/169066 2025-12-04T09:33:41.7967292Z * [new tag] ciflow/trunk/169091 -> ciflow/trunk/169091 2025-12-04T09:33:41.7968312Z * [new tag] ciflow/trunk/169102 -> ciflow/trunk/169102 2025-12-04T09:33:41.7969080Z * [new tag] ciflow/trunk/169103 -> ciflow/trunk/169103 2025-12-04T09:33:41.7970190Z * [new tag] ciflow/trunk/169125 -> ciflow/trunk/169125 2025-12-04T09:33:41.7971652Z * [new tag] ciflow/trunk/169139 -> ciflow/trunk/169139 2025-12-04T09:33:41.7972710Z * [new tag] ciflow/trunk/169148 -> ciflow/trunk/169148 2025-12-04T09:33:41.7973483Z * [new tag] ciflow/trunk/169151 -> ciflow/trunk/169151 2025-12-04T09:33:41.7974501Z * [new tag] ciflow/trunk/169156 -> ciflow/trunk/169156 2025-12-04T09:33:41.7975527Z * [new tag] ciflow/trunk/169176 -> ciflow/trunk/169176 2025-12-04T09:33:41.7976307Z * [new tag] ciflow/trunk/169204 -> ciflow/trunk/169204 2025-12-04T09:33:41.7977270Z * [new tag] ciflow/trunk/169207 -> ciflow/trunk/169207 2025-12-04T09:33:41.7978058Z * [new tag] ciflow/trunk/169211 -> ciflow/trunk/169211 2025-12-04T09:33:41.7979287Z * [new tag] ciflow/trunk/169231 -> ciflow/trunk/169231 2025-12-04T09:33:41.7980130Z * [new tag] ciflow/trunk/169260 -> ciflow/trunk/169260 2025-12-04T09:33:41.7981311Z * [new tag] ciflow/trunk/169271 -> ciflow/trunk/169271 2025-12-04T09:33:41.7982085Z * [new tag] ciflow/trunk/169280 -> ciflow/trunk/169280 2025-12-04T09:33:41.7982942Z * [new tag] ciflow/trunk/169281 -> ciflow/trunk/169281 2025-12-04T09:33:41.7983826Z * [new tag] ciflow/trunk/169286 -> ciflow/trunk/169286 2025-12-04T09:33:41.7984951Z * [new tag] ciflow/trunk/169293 -> ciflow/trunk/169293 2025-12-04T09:33:41.7985740Z * [new tag] ciflow/trunk/169296 -> ciflow/trunk/169296 2025-12-04T09:33:41.7986596Z * [new tag] ciflow/trunk/169304 -> ciflow/trunk/169304 2025-12-04T09:33:41.7987529Z * [new tag] ciflow/trunk/169305 -> ciflow/trunk/169305 2025-12-04T09:33:41.7988345Z * [new tag] ciflow/trunk/169312 -> ciflow/trunk/169312 2025-12-04T09:33:41.7989659Z * [new tag] ciflow/trunk/169328 -> ciflow/trunk/169328 2025-12-04T09:33:41.7990449Z * [new tag] ciflow/trunk/169343 -> ciflow/trunk/169343 2025-12-04T09:33:41.7991302Z * [new tag] ciflow/trunk/169355 -> ciflow/trunk/169355 2025-12-04T09:33:41.7992413Z * [new tag] ciflow/trunk/169370 -> ciflow/trunk/169370 2025-12-04T09:33:41.7993419Z * [new tag] ciflow/trunk/169379 -> ciflow/trunk/169379 2025-12-04T09:33:41.7994224Z * [new tag] ciflow/trunk/169380 -> ciflow/trunk/169380 2025-12-04T09:33:41.7995096Z * [new tag] ciflow/trunk/169385 -> ciflow/trunk/169385 2025-12-04T09:33:41.7996114Z * [new tag] ciflow/trunk/169387 -> ciflow/trunk/169387 2025-12-04T09:33:41.7997216Z * [new tag] ciflow/trunk/169410 -> ciflow/trunk/169410 2025-12-04T09:33:41.7997990Z * [new tag] ciflow/trunk/169412 -> ciflow/trunk/169412 2025-12-04T09:33:41.7998945Z * [new tag] ciflow/trunk/169418 -> ciflow/trunk/169418 2025-12-04T09:33:41.7999748Z * [new tag] ciflow/trunk/169423 -> ciflow/trunk/169423 2025-12-04T09:33:41.8000865Z * [new tag] ciflow/trunk/169427 -> ciflow/trunk/169427 2025-12-04T09:33:41.8001658Z * [new tag] ciflow/trunk/169430 -> ciflow/trunk/169430 2025-12-04T09:33:41.8002528Z * [new tag] ciflow/trunk/169437 -> ciflow/trunk/169437 2025-12-04T09:33:41.8003552Z * [new tag] ciflow/trunk/169442 -> ciflow/trunk/169442 2025-12-04T09:33:41.8004258Z * [new tag] ciflow/trunk/169452 -> ciflow/trunk/169452 2025-12-04T09:33:41.8005119Z * [new tag] ciflow/trunk/169454 -> ciflow/trunk/169454 2025-12-04T09:33:41.8005978Z * [new tag] ciflow/trunk/169459 -> ciflow/trunk/169459 2025-12-04T09:33:41.8007125Z * [new tag] ciflow/trunk/169474 -> ciflow/trunk/169474 2025-12-04T09:33:41.8007869Z * [new tag] ciflow/trunk/169475 -> ciflow/trunk/169475 2025-12-04T09:33:41.8008827Z * [new tag] ciflow/trunk/169476 -> ciflow/trunk/169476 2025-12-04T09:33:41.8009889Z * [new tag] ciflow/trunk/169487 -> ciflow/trunk/169487 2025-12-04T09:33:41.8010749Z * [new tag] ciflow/trunk/169497 -> ciflow/trunk/169497 2025-12-04T09:33:41.8011560Z * [new tag] ciflow/trunk/169503 -> ciflow/trunk/169503 2025-12-04T09:33:41.8012531Z * [new tag] ciflow/trunk/169505 -> ciflow/trunk/169505 2025-12-04T09:33:41.8013315Z * [new tag] ciflow/trunk/169507 -> ciflow/trunk/169507 2025-12-04T09:33:41.8014298Z * [new tag] ciflow/trunk/169514 -> ciflow/trunk/169514 2025-12-04T09:33:41.8015167Z * [new tag] ciflow/trunk/169517 -> ciflow/trunk/169517 2025-12-04T09:33:41.8015928Z * [new tag] ciflow/trunk/169519 -> ciflow/trunk/169519 2025-12-04T09:33:41.8016773Z * [new tag] ciflow/trunk/169528 -> ciflow/trunk/169528 2025-12-04T09:33:41.8017771Z * [new tag] ciflow/trunk/169541 -> ciflow/trunk/169541 2025-12-04T09:33:41.8018730Z * [new tag] ciflow/trunk/169555 -> ciflow/trunk/169555 2025-12-04T09:33:41.8020045Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-12-04T09:33:41.8021156Z * [new tag] ciflow/vllm/165270 -> ciflow/vllm/165270 2025-12-04T09:33:41.8021969Z * [new tag] ciflow/vllm/165274 -> ciflow/vllm/165274 2025-12-04T09:33:41.8022807Z * [new tag] ciflow/vllm/166494 -> ciflow/vllm/166494 2025-12-04T09:33:41.8023618Z * [new tag] ciflow/vllm/169219 -> ciflow/vllm/169219 2025-12-04T09:33:41.8024426Z * [new tag] ciflow/vllm/169220 -> ciflow/vllm/169220 2025-12-04T09:33:41.8025533Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-12-04T09:33:41.8026208Z * [new tag] ciflow/xpu/159718 -> ciflow/xpu/159718 2025-12-04T09:33:41.8027066Z * [new tag] ciflow/xpu/161940 -> ciflow/xpu/161940 2025-12-04T09:33:41.8028132Z * [new tag] ciflow/xpu/163251 -> ciflow/xpu/163251 2025-12-04T09:33:41.8028882Z * [new tag] ciflow/xpu/166829 -> ciflow/xpu/166829 2025-12-04T09:33:41.8029703Z * [new tag] ciflow/xpu/166843 -> ciflow/xpu/166843 2025-12-04T09:33:41.8030531Z * [new tag] ciflow/xpu/167972 -> ciflow/xpu/167972 2025-12-04T09:33:41.8031333Z * [new tag] ciflow/xpu/167981 -> ciflow/xpu/167981 2025-12-04T09:33:41.8032192Z * [new tag] ciflow/xpu/168213 -> ciflow/xpu/168213 2025-12-04T09:33:41.8032983Z * [new tag] ciflow/xpu/168262 -> ciflow/xpu/168262 2025-12-04T09:33:41.8033786Z * [new tag] ciflow/xpu/168328 -> ciflow/xpu/168328 2025-12-04T09:33:41.8035019Z * [new tag] ciflow/xpu/168950 -> ciflow/xpu/168950 2025-12-04T09:33:41.8036411Z * [new tag] ciflow/xpu/169039 -> ciflow/xpu/169039 2025-12-04T09:33:41.8037446Z * [new tag] ciflow/xpu/169200 -> ciflow/xpu/169200 2025-12-04T09:33:41.8038231Z * [new tag] ciflow/xpu/169203 -> ciflow/xpu/169203 2025-12-04T09:33:41.8039083Z * [new tag] ciflow/xpu/169230 -> ciflow/xpu/169230 2025-12-04T09:33:41.8039946Z * [new tag] ciflow/xpu/169231 -> ciflow/xpu/169231 2025-12-04T09:33:41.8041033Z * [new tag] ciflow/xpu/169241 -> ciflow/xpu/169241 2025-12-04T09:33:41.8042365Z * [new tag] ciflow/xpu/169280 -> ciflow/xpu/169280 2025-12-04T09:33:41.8043145Z * [new tag] ciflow/xpu/169296 -> ciflow/xpu/169296 2025-12-04T09:33:41.8044265Z * [new tag] ciflow/xpu/169353 -> ciflow/xpu/169353 2025-12-04T09:33:41.8045057Z * [new tag] ciflow/xpu/169410 -> ciflow/xpu/169410 2025-12-04T09:33:41.8045909Z * [new tag] ciflow/xpu/169442 -> ciflow/xpu/169442 2025-12-04T09:33:41.8046953Z * [new tag] ciflow/xpu/169555 -> ciflow/xpu/169555 2025-12-04T09:33:41.8047809Z * [new tag] cslpull75 -> cslpull75 2025-12-04T09:33:41.8049386Z * [new tag] cslpull76 -> cslpull76 2025-12-04T09:33:41.8050213Z * [new tag] cslpull77 -> cslpull77 2025-12-04T09:33:41.8051349Z * [new tag] cslpull78 -> cslpull78 2025-12-04T09:33:41.8052478Z * [new tag] cslpull79 -> cslpull79 2025-12-04T09:33:41.8053745Z * [new tag] cslpull80 -> cslpull80 2025-12-04T09:33:41.8054774Z * [new tag] cslpull81 -> cslpull81 2025-12-04T09:33:41.8055817Z * [new tag] cslpull82 -> cslpull82 2025-12-04T09:33:41.8056816Z * [new tag] cslpull83 -> cslpull83 2025-12-04T09:33:41.8057771Z * [new tag] cslpull84 -> cslpull84 2025-12-04T09:33:41.8058623Z * [new tag] cslpull85 -> cslpull85 2025-12-04T09:33:41.8059847Z * [new tag] cslpull86 -> cslpull86 2025-12-04T09:33:41.8060841Z * [new tag] cslpull87 -> cslpull87 2025-12-04T09:33:41.8061871Z * [new tag] cslpull88 -> cslpull88 2025-12-04T09:33:41.8062724Z * [new tag] cslpull89 -> cslpull89 2025-12-04T09:33:41.8063528Z * [new tag] cslpull90 -> cslpull90 2025-12-04T09:33:41.8065059Z * [new tag] cslpull91 -> cslpull91 2025-12-04T09:33:41.8065924Z * [new tag] cslpull92 -> cslpull92 2025-12-04T09:33:41.8067107Z * [new tag] flight_5 -> flight_5 2025-12-04T09:33:41.8068314Z * [new tag] flight_5.1 -> flight_5.1 2025-12-04T09:33:41.8069382Z * [new tag] flight_5.2 -> flight_5.2 2025-12-04T09:33:41.8070429Z * [new tag] flight_5.3 -> flight_5.3 2025-12-04T09:33:41.8071468Z * [new tag] forpull1 -> forpull1 2025-12-04T09:33:41.8072699Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-12-04T09:33:41.8073764Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-12-04T09:33:41.8074626Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-12-04T09:33:41.8075815Z * [new tag] nightly-binary -> nightly-binary 2025-12-04T09:33:41.8077069Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-12-04T09:33:41.8078227Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-12-04T09:33:41.8079558Z * [new tag] trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 -> trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 2025-12-04T09:33:41.8080455Z * [new tag] trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e -> trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e 2025-12-04T09:33:41.8081982Z * [new tag] trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 -> trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 2025-12-04T09:33:41.8083263Z * [new tag] trunk/07dcc0b83db3211653a38565a24e15acdba75654 -> trunk/07dcc0b83db3211653a38565a24e15acdba75654 2025-12-04T09:33:41.8084205Z * [new tag] trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb -> trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb 2025-12-04T09:33:41.8085206Z * [new tag] trunk/088048f2fea28ff7d450f65c72419ca45780d30b -> trunk/088048f2fea28ff7d450f65c72419ca45780d30b 2025-12-04T09:33:41.8086251Z * [new tag] trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 -> trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 2025-12-04T09:33:41.8087835Z * [new tag] trunk/0b80a4c62b94402844bf221791c096b0035c6d75 -> trunk/0b80a4c62b94402844bf221791c096b0035c6d75 2025-12-04T09:33:41.8089078Z * [new tag] trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 -> trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 2025-12-04T09:33:41.8090132Z * [new tag] trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 -> trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 2025-12-04T09:33:41.8091113Z * [new tag] trunk/135f3753c418a6879b1954904184937b67e61688 -> trunk/135f3753c418a6879b1954904184937b67e61688 2025-12-04T09:33:41.8092150Z * [new tag] trunk/15da21026cb13cd20257dc9e96830db108743c10 -> trunk/15da21026cb13cd20257dc9e96830db108743c10 2025-12-04T09:33:41.8093197Z * [new tag] trunk/166efdad2ac827f30fb02504c6017520257f88ec -> trunk/166efdad2ac827f30fb02504c6017520257f88ec 2025-12-04T09:33:41.8094180Z * [new tag] trunk/174272c15fae553d8488140af931f7d8050a313f -> trunk/174272c15fae553d8488140af931f7d8050a313f 2025-12-04T09:33:41.8095574Z * [new tag] trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 -> trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 2025-12-04T09:33:41.8096491Z * [new tag] trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 -> trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 2025-12-04T09:33:41.8097523Z * [new tag] trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 -> trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 2025-12-04T09:33:41.8098540Z * [new tag] trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 -> trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 2025-12-04T09:33:41.8099542Z * [new tag] trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e -> trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e 2025-12-04T09:33:41.8100644Z * [new tag] trunk/1c87554d74140eaee964ca8b1832cede67f5f520 -> trunk/1c87554d74140eaee964ca8b1832cede67f5f520 2025-12-04T09:33:41.8101786Z * [new tag] trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 -> trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 2025-12-04T09:33:41.8102921Z * [new tag] trunk/1cee47d6ce0a02227185b566593f002dd639ca0c -> trunk/1cee47d6ce0a02227185b566593f002dd639ca0c 2025-12-04T09:33:41.8103757Z * [new tag] trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d -> trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d 2025-12-04T09:33:41.8104825Z * [new tag] trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 -> trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 2025-12-04T09:33:41.8105910Z * [new tag] trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de -> trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de 2025-12-04T09:33:41.8106948Z * [new tag] trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 -> trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 2025-12-04T09:33:41.8107962Z * [new tag] trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 -> trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 2025-12-04T09:33:41.8108982Z * [new tag] trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f -> trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f 2025-12-04T09:33:41.8110365Z * [new tag] trunk/285779b1621cf9f073a062b0889a642d200308d9 -> trunk/285779b1621cf9f073a062b0889a642d200308d9 2025-12-04T09:33:41.8111129Z * [new tag] trunk/2887faaec6295d081580d09fce161201826c6d87 -> trunk/2887faaec6295d081580d09fce161201826c6d87 2025-12-04T09:33:41.8114057Z * [new tag] trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc -> trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc 2025-12-04T09:33:41.8114497Z * [new tag] trunk/29856679769b3dede478767e2fe6cfb51197cb25 -> trunk/29856679769b3dede478767e2fe6cfb51197cb25 2025-12-04T09:33:41.8114947Z * [new tag] trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 -> trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 2025-12-04T09:33:41.8115764Z * [new tag] trunk/2ac3ef882afb23136adc188975f0a8802fc68adf -> trunk/2ac3ef882afb23136adc188975f0a8802fc68adf 2025-12-04T09:33:41.8116318Z * [new tag] trunk/2bec68e73b64715354af076ad309335f943e36cd -> trunk/2bec68e73b64715354af076ad309335f943e36cd 2025-12-04T09:33:41.8117359Z * [new tag] trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 -> trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 2025-12-04T09:33:41.8118468Z * [new tag] trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 -> trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 2025-12-04T09:33:41.8119568Z * [new tag] trunk/2df6058f116a65722a0e03073402feb242572d35 -> trunk/2df6058f116a65722a0e03073402feb242572d35 2025-12-04T09:33:41.8120649Z * [new tag] trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec -> trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec 2025-12-04T09:33:41.8121743Z * [new tag] trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 -> trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 2025-12-04T09:33:41.8122741Z * [new tag] trunk/305168768a95d69c444df5cd334bb774edfe06f1 -> trunk/305168768a95d69c444df5cd334bb774edfe06f1 2025-12-04T09:33:41.8123753Z * [new tag] trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 -> trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 2025-12-04T09:33:41.8124777Z * [new tag] trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 -> trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 2025-12-04T09:33:41.8125842Z * [new tag] trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 -> trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 2025-12-04T09:33:41.8126878Z * [new tag] trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf -> trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf 2025-12-04T09:33:41.8127869Z * [new tag] trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee -> trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee 2025-12-04T09:33:41.8128952Z * [new tag] trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 -> trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 2025-12-04T09:33:41.8129876Z * [new tag] trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 -> trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 2025-12-04T09:33:41.8130922Z * [new tag] trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae -> trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae 2025-12-04T09:33:41.8131954Z * [new tag] trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f -> trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f 2025-12-04T09:33:41.8132924Z * [new tag] trunk/42e9005cda22da3f1c559c3649218cebd671027c -> trunk/42e9005cda22da3f1c559c3649218cebd671027c 2025-12-04T09:33:41.8134187Z * [new tag] trunk/43b94713bbf340d3c124fde02d0f73add4021247 -> trunk/43b94713bbf340d3c124fde02d0f73add4021247 2025-12-04T09:33:41.8135068Z * [new tag] trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c -> trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c 2025-12-04T09:33:41.8136166Z * [new tag] trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a -> trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a 2025-12-04T09:33:41.8137014Z * [new tag] trunk/45d310ad84854dff730c0b12e577d7998d978686 -> trunk/45d310ad84854dff730c0b12e577d7998d978686 2025-12-04T09:33:41.8138474Z * [new tag] trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 -> trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 2025-12-04T09:33:41.8139225Z * [new tag] trunk/481e5ab336275bd3acd5fa8a611b05b4469012af -> trunk/481e5ab336275bd3acd5fa8a611b05b4469012af 2025-12-04T09:33:41.8140318Z * [new tag] trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 -> trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 2025-12-04T09:33:41.8141237Z * [new tag] trunk/49a04d26088acc17d948ddd66920f3e16371e873 -> trunk/49a04d26088acc17d948ddd66920f3e16371e873 2025-12-04T09:33:41.8142288Z * [new tag] trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 -> trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 2025-12-04T09:33:41.8143167Z * [new tag] trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f -> trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f 2025-12-04T09:33:41.8144461Z * [new tag] trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa -> trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa 2025-12-04T09:33:41.8145470Z * [new tag] trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c -> trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c 2025-12-04T09:33:41.8147102Z * [new tag] trunk/4fefb8e7e942386ffac764a41b232241f82bea3a -> trunk/4fefb8e7e942386ffac764a41b232241f82bea3a 2025-12-04T09:33:41.8148073Z * [new tag] trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d -> trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d 2025-12-04T09:33:41.8149098Z * [new tag] trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 -> trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 2025-12-04T09:33:41.8150341Z * [new tag] trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 -> trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 2025-12-04T09:33:41.8151366Z * [new tag] trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a -> trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a 2025-12-04T09:33:41.8152448Z * [new tag] trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 -> trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 2025-12-04T09:33:41.8153469Z * [new tag] trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 -> trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 2025-12-04T09:33:41.8154745Z * [new tag] trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 -> trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 2025-12-04T09:33:41.8156160Z * [new tag] trunk/5634469fda9e5d98869c82c7d03bb08914245f96 -> trunk/5634469fda9e5d98869c82c7d03bb08914245f96 2025-12-04T09:33:41.8156965Z * [new tag] trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc -> trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc 2025-12-04T09:33:41.8158072Z * [new tag] trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 -> trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 2025-12-04T09:33:41.8159078Z * [new tag] trunk/597930f6b568852356ca9795dac76f9e4653adbd -> trunk/597930f6b568852356ca9795dac76f9e4653adbd 2025-12-04T09:33:41.8159980Z * [new tag] trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 -> trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 2025-12-04T09:33:41.8161316Z * [new tag] trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 -> trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 2025-12-04T09:33:41.8162250Z * [new tag] trunk/5a607febc04c3a2b5824c75f3f60307867439a2c -> trunk/5a607febc04c3a2b5824c75f3f60307867439a2c 2025-12-04T09:33:41.8163325Z * [new tag] trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b -> trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b 2025-12-04T09:33:41.8164198Z * [new tag] trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c -> trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c 2025-12-04T09:33:41.8165583Z * [new tag] trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 -> trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 2025-12-04T09:33:41.8166588Z * [new tag] trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 -> trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 2025-12-04T09:33:41.8167741Z * [new tag] trunk/61be54a31dc09b59d99b62176fb935aee0b924ef -> trunk/61be54a31dc09b59d99b62176fb935aee0b924ef 2025-12-04T09:33:41.8168777Z * [new tag] trunk/62d3ccd71484ed6a760d909b41487101bbc65719 -> trunk/62d3ccd71484ed6a760d909b41487101bbc65719 2025-12-04T09:33:41.8169816Z * [new tag] trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b -> trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b 2025-12-04T09:33:41.8170831Z * [new tag] trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a -> trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a 2025-12-04T09:33:41.8171931Z * [new tag] trunk/66004b993744b4106bf8afaba71f3c228a804206 -> trunk/66004b993744b4106bf8afaba71f3c228a804206 2025-12-04T09:33:41.8173033Z * [new tag] trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 -> trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 2025-12-04T09:33:41.8174048Z * [new tag] trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 -> trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 2025-12-04T09:33:41.8175177Z * [new tag] trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d -> trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d 2025-12-04T09:33:41.8176140Z * [new tag] trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b -> trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b 2025-12-04T09:33:41.8177161Z * [new tag] trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 -> trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 2025-12-04T09:33:41.8178154Z * [new tag] trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 -> trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 2025-12-04T09:33:41.8179271Z * [new tag] trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec -> trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec 2025-12-04T09:33:41.8180253Z * [new tag] trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 -> trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 2025-12-04T09:33:41.8181382Z * [new tag] trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d -> trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d 2025-12-04T09:33:41.8182403Z * [new tag] trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a -> trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a 2025-12-04T09:33:41.8183483Z * [new tag] trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e -> trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e 2025-12-04T09:33:41.8184674Z * [new tag] trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 -> trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 2025-12-04T09:33:41.8185661Z * [new tag] trunk/70d797a5fc109b20a517646fcaa819477cd0d485 -> trunk/70d797a5fc109b20a517646fcaa819477cd0d485 2025-12-04T09:33:41.8186727Z * [new tag] trunk/7348cb355ff0a6f79cd4871215aea72185748734 -> trunk/7348cb355ff0a6f79cd4871215aea72185748734 2025-12-04T09:33:41.8187749Z * [new tag] trunk/74fe26a1ebe32931783569f2e762e3c2c974901f -> trunk/74fe26a1ebe32931783569f2e762e3c2c974901f 2025-12-04T09:33:41.8188860Z * [new tag] trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 -> trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 2025-12-04T09:33:41.8189685Z * [new tag] trunk/7716da9fb23f27a65b41f9f016a2afadf281c18f -> trunk/7716da9fb23f27a65b41f9f016a2afadf281c18f 2025-12-04T09:33:41.8190758Z * [new tag] trunk/7741edd4ed665f3988052e260863efb508d61a03 -> trunk/7741edd4ed665f3988052e260863efb508d61a03 2025-12-04T09:33:41.8191841Z * [new tag] trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 -> trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 2025-12-04T09:33:41.8192950Z * [new tag] trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 -> trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 2025-12-04T09:33:41.8193793Z * [new tag] trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 -> trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 2025-12-04T09:33:41.8194832Z * [new tag] trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca -> trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca 2025-12-04T09:33:41.8195944Z * [new tag] trunk/7b7af390ea8541c611d1ce2018a6934188fc197b -> trunk/7b7af390ea8541c611d1ce2018a6934188fc197b 2025-12-04T09:33:41.8197175Z * [new tag] trunk/7ba4680f3755a560af81aa0f688791e367aa3609 -> trunk/7ba4680f3755a560af81aa0f688791e367aa3609 2025-12-04T09:33:41.8198252Z * [new tag] trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b -> trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b 2025-12-04T09:33:41.8199113Z * [new tag] trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 2025-12-04T09:33:41.8200063Z * [new tag] trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 -> trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 2025-12-04T09:33:41.8206853Z * [new tag] trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed -> trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed 2025-12-04T09:33:41.8207615Z * [new tag] trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 -> trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 2025-12-04T09:33:41.8208093Z * [new tag] trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e -> trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e 2025-12-04T09:33:41.8208551Z * [new tag] trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead -> trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead 2025-12-04T09:33:41.8209006Z * [new tag] trunk/81af382128efa094d8702e18f2c133760904c718 -> trunk/81af382128efa094d8702e18f2c133760904c718 2025-12-04T09:33:41.8209459Z * [new tag] trunk/84149583d483e9c973c9a0feda70e4f3964947b0 -> trunk/84149583d483e9c973c9a0feda70e4f3964947b0 2025-12-04T09:33:41.8209899Z * [new tag] trunk/85a315917efe82c24306be805c584ec044951c75 -> trunk/85a315917efe82c24306be805c584ec044951c75 2025-12-04T09:33:41.8210357Z * [new tag] trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece -> trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece 2025-12-04T09:33:41.8210809Z * [new tag] trunk/892640e25aeefa8007c5af837214b4502b6b62a6 -> trunk/892640e25aeefa8007c5af837214b4502b6b62a6 2025-12-04T09:33:41.8211331Z * [new tag] trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 -> trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 2025-12-04T09:33:41.8212385Z * [new tag] trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c -> trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c 2025-12-04T09:33:41.8213488Z * [new tag] trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 -> trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 2025-12-04T09:33:41.8214562Z * [new tag] trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 -> trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 2025-12-04T09:33:41.8215644Z * [new tag] trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca -> trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca 2025-12-04T09:33:41.8216735Z * [new tag] trunk/90b27e7e8352cde97d32ddad24740ef819633f38 -> trunk/90b27e7e8352cde97d32ddad24740ef819633f38 2025-12-04T09:33:41.8217594Z * [new tag] trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 -> trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 2025-12-04T09:33:41.8218624Z * [new tag] trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c -> trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c 2025-12-04T09:33:41.8219722Z * [new tag] trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 -> trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 2025-12-04T09:33:41.8220795Z * [new tag] trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 -> trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 2025-12-04T09:33:41.8221858Z * [new tag] trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa -> trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa 2025-12-04T09:33:41.8222947Z * [new tag] trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d -> trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d 2025-12-04T09:33:41.8224591Z * [new tag] trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 -> trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 2025-12-04T09:33:41.8225526Z * [new tag] trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 -> trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 2025-12-04T09:33:41.8226590Z * [new tag] trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d -> trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d 2025-12-04T09:33:41.8227618Z * [new tag] trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a -> trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a 2025-12-04T09:33:41.8228697Z * [new tag] trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 -> trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 2025-12-04T09:33:41.8229968Z * [new tag] trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 -> trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 2025-12-04T09:33:41.8230916Z * [new tag] trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa -> trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa 2025-12-04T09:33:41.8232213Z * [new tag] trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d -> trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d 2025-12-04T09:33:41.8233119Z * [new tag] trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c -> trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c 2025-12-04T09:33:41.8234205Z * [new tag] trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 -> trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 2025-12-04T09:33:41.8235306Z * [new tag] trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c -> trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c 2025-12-04T09:33:41.8236282Z * [new tag] trunk/a7dc6dab9ad911259d4801c502907e531594db45 -> trunk/a7dc6dab9ad911259d4801c502907e531594db45 2025-12-04T09:33:41.8237410Z * [new tag] trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 -> trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 2025-12-04T09:33:41.8238495Z * [new tag] trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e -> trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e 2025-12-04T09:33:41.8239595Z * [new tag] trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e -> trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e 2025-12-04T09:33:41.8240533Z * [new tag] trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e -> trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e 2025-12-04T09:33:41.8241430Z * [new tag] trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 -> trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 2025-12-04T09:33:41.8242565Z * [new tag] trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 -> trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 2025-12-04T09:33:41.8243659Z * [new tag] trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 -> trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 2025-12-04T09:33:41.8244723Z * [new tag] trunk/b39813b4a04931682b0491adba2138d01d716d99 -> trunk/b39813b4a04931682b0491adba2138d01d716d99 2025-12-04T09:33:41.8245818Z * [new tag] trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 -> trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 2025-12-04T09:33:41.8246879Z * [new tag] trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 -> trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 2025-12-04T09:33:41.8247993Z * [new tag] trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a -> trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a 2025-12-04T09:33:41.8249208Z * [new tag] trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 -> trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 2025-12-04T09:33:41.8250226Z * [new tag] trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 -> trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 2025-12-04T09:33:41.8251264Z * [new tag] trunk/b7d60685f8cbc939b68a20871e90db67e729329b -> trunk/b7d60685f8cbc939b68a20871e90db67e729329b 2025-12-04T09:33:41.8252369Z * [new tag] trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e -> trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e 2025-12-04T09:33:41.8253692Z * [new tag] trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf -> trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf 2025-12-04T09:33:41.8254567Z * [new tag] trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 -> trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 2025-12-04T09:33:41.8255873Z * [new tag] trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f -> trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f 2025-12-04T09:33:41.8256906Z * [new tag] trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f -> trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f 2025-12-04T09:33:41.8257966Z * [new tag] trunk/bb3034198b459401fabeab254e1b99f0115046e2 -> trunk/bb3034198b459401fabeab254e1b99f0115046e2 2025-12-04T09:33:41.8259012Z * [new tag] trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 -> trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 2025-12-04T09:33:41.8260356Z * [new tag] trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 -> trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 2025-12-04T09:33:41.8261306Z * [new tag] trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 -> trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 2025-12-04T09:33:41.8262402Z * [new tag] trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 -> trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 2025-12-04T09:33:41.8263853Z * [new tag] trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 -> trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 2025-12-04T09:33:41.8264865Z * [new tag] trunk/c0660bcee27e7d7731634e274576a7081882bede -> trunk/c0660bcee27e7d7731634e274576a7081882bede 2025-12-04T09:33:41.8266007Z * [new tag] trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac -> trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac 2025-12-04T09:33:41.8267072Z * [new tag] trunk/c55b1e8f61d041ee436d697449eb028931d574fb -> trunk/c55b1e8f61d041ee436d697449eb028931d574fb 2025-12-04T09:33:41.8268045Z * [new tag] trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 -> trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 2025-12-04T09:33:41.8269416Z * [new tag] trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 -> trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 2025-12-04T09:33:41.8270551Z * [new tag] trunk/cc0853af42122f8185321f542616f4474e717f09 -> trunk/cc0853af42122f8185321f542616f4474e717f09 2025-12-04T09:33:41.8271503Z * [new tag] trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 -> trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 2025-12-04T09:33:41.8272613Z * [new tag] trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a -> trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a 2025-12-04T09:33:41.8273686Z * [new tag] trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace -> trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace 2025-12-04T09:33:41.8274666Z * [new tag] trunk/d16447dacaf2420ea175f0c275c75da951f57d39 -> trunk/d16447dacaf2420ea175f0c275c75da951f57d39 2025-12-04T09:33:41.8275831Z * [new tag] trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 -> trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 2025-12-04T09:33:41.8276953Z * [new tag] trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 -> trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 2025-12-04T09:33:41.8278231Z * [new tag] trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf -> trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf 2025-12-04T09:33:41.8279210Z * [new tag] trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 -> trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 2025-12-04T09:33:41.8280186Z * [new tag] trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d -> trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d 2025-12-04T09:33:41.8281251Z * [new tag] trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 -> trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 2025-12-04T09:33:41.8282338Z * [new tag] trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 -> trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 2025-12-04T09:33:41.8283379Z * [new tag] trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e -> trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e 2025-12-04T09:33:41.8284469Z * [new tag] trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a -> trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a 2025-12-04T09:33:41.8285543Z * [new tag] trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b -> trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b 2025-12-04T09:33:41.8286609Z * [new tag] trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec -> trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec 2025-12-04T09:33:41.8288019Z * [new tag] trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf -> trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf 2025-12-04T09:33:41.8288959Z * [new tag] trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd -> trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd 2025-12-04T09:33:41.8289949Z * [new tag] trunk/dd18a75336a4fbd7497955cc5665904724fce889 -> trunk/dd18a75336a4fbd7497955cc5665904724fce889 2025-12-04T09:33:41.8291063Z * [new tag] trunk/ded9bcd61a059bf723e6e84689552962b480ea77 -> trunk/ded9bcd61a059bf723e6e84689552962b480ea77 2025-12-04T09:33:41.8292670Z * [new tag] trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c -> trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c 2025-12-04T09:33:41.8293718Z * [new tag] trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b -> trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b 2025-12-04T09:33:41.8295207Z * [new tag] trunk/e3f24fd73ad74c6e7176687986436956c7c18235 -> trunk/e3f24fd73ad74c6e7176687986436956c7c18235 2025-12-04T09:33:41.8296189Z * [new tag] trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e -> trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e 2025-12-04T09:33:41.8297488Z * [new tag] trunk/ea7035f462a0d2830865ee86c832bd101e1427fc -> trunk/ea7035f462a0d2830865ee86c832bd101e1427fc 2025-12-04T09:33:41.8298477Z * [new tag] trunk/eabb7ad2128580ef674446027b95bcf4e21e8df3 -> trunk/eabb7ad2128580ef674446027b95bcf4e21e8df3 2025-12-04T09:33:41.8299578Z * [new tag] trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf -> trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf 2025-12-04T09:33:41.8300798Z * [new tag] trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e -> trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e 2025-12-04T09:33:41.8302000Z * [new tag] trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e -> trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e 2025-12-04T09:33:41.8303677Z * [new tag] trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 -> trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 2025-12-04T09:33:41.8304634Z * [new tag] trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 -> trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 2025-12-04T09:33:41.8305733Z * [new tag] trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 -> trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 2025-12-04T09:33:41.8306771Z * [new tag] trunk/f1076f5510920044912247b1abb8760cb820f598 -> trunk/f1076f5510920044912247b1abb8760cb820f598 2025-12-04T09:33:41.8307826Z * [new tag] trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 -> trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 2025-12-04T09:33:41.8308865Z * [new tag] trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 -> trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 2025-12-04T09:33:41.8309960Z * [new tag] trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 -> trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 2025-12-04T09:33:41.8310919Z * [new tag] trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 -> trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 2025-12-04T09:33:41.8311997Z * [new tag] trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 -> trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 2025-12-04T09:33:41.8313063Z * [new tag] trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 -> trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 2025-12-04T09:33:41.8314007Z * [new tag] trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 -> trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 2025-12-04T09:33:41.8315157Z * [new tag] trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b -> trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b 2025-12-04T09:33:41.8316330Z * [new tag] trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 -> trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 2025-12-04T09:33:41.8318066Z * [new tag] trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 -> trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 2025-12-04T09:33:41.8319051Z * [new tag] trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 -> trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 2025-12-04T09:33:41.8320310Z * [new tag] trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 -> trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:33:41.8320938Z * [new tag] v0.1.1 -> v0.1.1 2025-12-04T09:33:41.8322041Z * [new tag] v0.1.10 -> v0.1.10 2025-12-04T09:33:41.8322884Z * [new tag] v0.1.11 -> v0.1.11 2025-12-04T09:33:41.8324014Z * [new tag] v0.1.12 -> v0.1.12 2025-12-04T09:33:41.8325074Z * [new tag] v0.1.2 -> v0.1.2 2025-12-04T09:33:41.8325889Z * [new tag] v0.1.3 -> v0.1.3 2025-12-04T09:33:41.8327014Z * [new tag] v0.1.4 -> v0.1.4 2025-12-04T09:33:41.8327967Z * [new tag] v0.1.5 -> v0.1.5 2025-12-04T09:33:41.8328948Z * [new tag] v0.1.6 -> v0.1.6 2025-12-04T09:33:41.8329782Z * [new tag] v0.1.7 -> v0.1.7 2025-12-04T09:33:41.8330841Z * [new tag] v0.1.8 -> v0.1.8 2025-12-04T09:33:41.8331780Z * [new tag] v0.1.9 -> v0.1.9 2025-12-04T09:33:41.8332835Z * [new tag] v0.2.0 -> v0.2.0 2025-12-04T09:33:41.8333716Z * [new tag] v0.3.0 -> v0.3.0 2025-12-04T09:33:41.8334968Z * [new tag] v0.3.1 -> v0.3.1 2025-12-04T09:33:41.8335798Z * [new tag] v0.4.0 -> v0.4.0 2025-12-04T09:33:41.8336898Z * [new tag] v0.4.1 -> v0.4.1 2025-12-04T09:33:41.8337858Z * [new tag] v1.0.0 -> v1.0.0 2025-12-04T09:33:41.8338814Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-12-04T09:33:41.8339829Z * [new tag] v1.0.1 -> v1.0.1 2025-12-04T09:33:41.8340848Z * [new tag] v1.0rc0 -> v1.0rc0 2025-12-04T09:33:41.8341608Z * [new tag] v1.0rc1 -> v1.0rc1 2025-12-04T09:33:41.8342605Z * [new tag] v1.1.0 -> v1.1.0 2025-12-04T09:33:41.8343669Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-12-04T09:33:41.8344886Z * [new tag] v1.10.0 -> v1.10.0 2025-12-04T09:33:41.8345984Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-12-04T09:33:41.8347142Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-12-04T09:33:41.8347862Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-12-04T09:33:41.8348992Z * [new tag] v1.10.1 -> v1.10.1 2025-12-04T09:33:41.8349748Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-12-04T09:33:41.8350549Z * [new tag] v1.10.2 -> v1.10.2 2025-12-04T09:33:41.8351347Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-12-04T09:33:41.8352486Z * [new tag] v1.11.0 -> v1.11.0 2025-12-04T09:33:41.8353542Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-12-04T09:33:41.8354692Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-12-04T09:33:41.8355800Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-12-04T09:33:41.8357051Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-12-04T09:33:41.8358130Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-12-04T09:33:41.8358817Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-12-04T09:33:41.8360199Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-12-04T09:33:41.8361338Z * [new tag] v1.12.0 -> v1.12.0 2025-12-04T09:33:41.8362175Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-12-04T09:33:41.8363282Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-12-04T09:33:41.8364417Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-12-04T09:33:41.8365503Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-12-04T09:33:41.8366496Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-12-04T09:33:41.8367755Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-12-04T09:33:41.8368457Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-12-04T09:33:41.8369260Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-12-04T09:33:41.8370063Z * [new tag] v1.12.1 -> v1.12.1 2025-12-04T09:33:41.8371300Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-12-04T09:33:41.8372383Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-12-04T09:33:41.8373461Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-12-04T09:33:41.8374517Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-12-04T09:33:41.8375214Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-12-04T09:33:41.8376408Z * [new tag] v1.13.0 -> v1.13.0 2025-12-04T09:33:41.8377437Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-12-04T09:33:41.8378426Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-12-04T09:33:41.8379406Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-12-04T09:33:41.8380612Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-12-04T09:33:41.8381316Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-12-04T09:33:41.8382177Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-12-04T09:33:41.8383434Z * [new tag] v1.13.1 -> v1.13.1 2025-12-04T09:33:41.8384080Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-12-04T09:33:41.8385114Z * [new tag] v1.2.0 -> v1.2.0 2025-12-04T09:33:41.8386180Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-12-04T09:33:41.8387169Z * [new tag] v1.3.0 -> v1.3.0 2025-12-04T09:33:41.8388203Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-12-04T09:33:41.8389220Z * [new tag] v1.3.1 -> v1.3.1 2025-12-04T09:33:41.8390126Z * [new tag] v1.4.0 -> v1.4.0 2025-12-04T09:33:41.8391142Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-12-04T09:33:41.8391877Z * [new tag] v1.4.1 -> v1.4.1 2025-12-04T09:33:41.8393044Z * [new tag] v1.5.0 -> v1.5.0 2025-12-04T09:33:41.8394132Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-12-04T09:33:41.8395240Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-12-04T09:33:41.8396498Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-12-04T09:33:41.8397460Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-12-04T09:33:41.8398167Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-12-04T09:33:41.8399322Z * [new tag] v1.5.1 -> v1.5.1 2025-12-04T09:33:41.8400102Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-12-04T09:33:41.8404394Z * [new tag] v1.6.0 -> v1.6.0 2025-12-04T09:33:41.8405607Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-12-04T09:33:41.8406851Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-12-04T09:33:41.8407789Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-12-04T09:33:41.8408814Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-12-04T09:33:41.8409894Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-12-04T09:33:41.8410922Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-12-04T09:33:41.8411643Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-12-04T09:33:41.8412854Z * [new tag] v1.7.0 -> v1.7.0 2025-12-04T09:33:41.8413952Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-12-04T09:33:41.8415077Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-12-04T09:33:41.8416095Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-12-04T09:33:41.8416826Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-12-04T09:33:41.8417964Z * [new tag] v1.7.1 -> v1.7.1 2025-12-04T09:33:41.8419126Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-12-04T09:33:41.8420177Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-12-04T09:33:41.8420930Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-12-04T09:33:41.8422067Z * [new tag] v1.8.0 -> v1.8.0 2025-12-04T09:33:41.8422759Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-12-04T09:33:41.8423890Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-12-04T09:33:41.8425060Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-12-04T09:33:41.8426049Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-12-04T09:33:41.8426836Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-12-04T09:33:41.8428140Z * [new tag] v1.8.1 -> v1.8.1 2025-12-04T09:33:41.8429222Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-12-04T09:33:41.8429924Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-12-04T09:33:41.8430705Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-12-04T09:33:41.8432416Z * [new tag] v1.8.2 -> v1.8.2 2025-12-04T09:33:41.8433110Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-12-04T09:33:41.8434301Z * [new tag] v1.9.0 -> v1.9.0 2025-12-04T09:33:41.8435305Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-12-04T09:33:41.8436577Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-12-04T09:33:41.8437639Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-12-04T09:33:41.8438361Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-12-04T09:33:41.8439495Z * [new tag] v1.9.1 -> v1.9.1 2025-12-04T09:33:41.8440780Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-12-04T09:33:41.8441498Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-12-04T09:33:41.8442687Z * [new tag] v2.0.0 -> v2.0.0 2025-12-04T09:33:41.8443701Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-12-04T09:33:41.8444775Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-12-04T09:33:41.8445829Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-12-04T09:33:41.8446855Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-12-04T09:33:41.8447867Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-12-04T09:33:41.8448735Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-12-04T09:33:41.8449857Z * [new tag] v2.0.1 -> v2.0.1 2025-12-04T09:33:41.8450953Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-12-04T09:33:41.8451669Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-12-04T09:33:41.8452763Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-12-04T09:33:41.8453478Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-12-04T09:33:41.8455215Z * [new tag] v2.1.0 -> v2.1.0 2025-12-04T09:33:41.8456215Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-12-04T09:33:41.8457318Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-12-04T09:33:41.8458555Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-12-04T09:33:41.8459671Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-12-04T09:33:41.8460705Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-12-04T09:33:41.8461500Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-12-04T09:33:41.8462760Z * [new tag] v2.1.1 -> v2.1.1 2025-12-04T09:33:41.8463940Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-12-04T09:33:41.8464969Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-12-04T09:33:41.8466131Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-12-04T09:33:41.8467245Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-12-04T09:33:41.8468257Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-12-04T09:33:41.8468981Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-12-04T09:33:41.8470029Z * [new tag] v2.1.2 -> v2.1.2 2025-12-04T09:33:41.8471123Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-12-04T09:33:41.8472246Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-12-04T09:33:41.8472949Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-12-04T09:33:41.8474117Z * [new tag] v2.2.0 -> v2.2.0 2025-12-04T09:33:41.8475176Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-12-04T09:33:41.8476289Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-12-04T09:33:41.8477322Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-12-04T09:33:41.8478330Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-12-04T09:33:41.8479347Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-12-04T09:33:41.8480394Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-12-04T09:33:41.8481068Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-12-04T09:33:41.8482020Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-12-04T09:33:41.8483130Z * [new tag] v2.2.1 -> v2.2.1 2025-12-04T09:33:41.8484254Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-12-04T09:33:41.8484970Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-12-04T09:33:41.8485764Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-12-04T09:33:41.8486957Z * [new tag] v2.2.2 -> v2.2.2 2025-12-04T09:33:41.8488243Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-12-04T09:33:41.8488934Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-12-04T09:33:41.8489750Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-12-04T09:33:41.8491178Z * [new tag] v2.3.0 -> v2.3.0 2025-12-04T09:33:41.8492134Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-12-04T09:33:41.8493288Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-12-04T09:33:41.8494872Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-12-04T09:33:41.8495609Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-12-04T09:33:41.8496849Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-12-04T09:33:41.8497927Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-12-04T09:33:41.8498983Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-12-04T09:33:41.8500112Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-12-04T09:33:41.8501082Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-12-04T09:33:41.8502221Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-12-04T09:33:41.8503253Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-12-04T09:33:41.8503962Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-12-04T09:33:41.8504788Z * [new tag] v2.3.1 -> v2.3.1 2025-12-04T09:33:41.8506040Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-12-04T09:33:41.8507067Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-12-04T09:33:41.8508188Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-12-04T09:33:41.8509386Z * [new tag] v2.4.0 -> v2.4.0 2025-12-04T09:33:41.8510236Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-12-04T09:33:41.8511381Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-12-04T09:33:41.8512454Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-12-04T09:33:41.8513522Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-12-04T09:33:41.8514641Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-12-04T09:33:41.8515723Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-12-04T09:33:41.8516936Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-12-04T09:33:41.8517997Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-12-04T09:33:41.8519099Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-12-04T09:33:41.8519803Z * [new tag] v2.4.1 -> v2.4.1 2025-12-04T09:33:41.8521079Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-12-04T09:33:41.8522165Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-12-04T09:33:41.8523234Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-12-04T09:33:41.8524343Z * [new tag] v2.5.0 -> v2.5.0 2025-12-04T09:33:41.8525469Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-12-04T09:33:41.8526244Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-12-04T09:33:41.8527362Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-12-04T09:33:41.8528430Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-12-04T09:33:41.8529476Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-12-04T09:33:41.8530545Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-12-04T09:33:41.8531712Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-12-04T09:33:41.8532737Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-12-04T09:33:41.8533859Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-12-04T09:33:41.8535006Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-12-04T09:33:41.8535633Z * [new tag] v2.5.1 -> v2.5.1 2025-12-04T09:33:41.8536464Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-12-04T09:33:41.8537394Z * [new tag] v2.6.0 -> v2.6.0 2025-12-04T09:33:41.8538518Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-12-04T09:33:41.8539603Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-12-04T09:33:41.8540708Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-12-04T09:33:41.8541716Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-12-04T09:33:41.8543162Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-12-04T09:33:41.8544230Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-12-04T09:33:41.8545367Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-12-04T09:33:41.8546780Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-12-04T09:33:41.8547854Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-12-04T09:33:41.8549150Z * [new tag] v2.7.0 -> v2.7.0 2025-12-04T09:33:41.8550109Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-12-04T09:33:41.8550980Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-12-04T09:33:41.8552369Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-12-04T09:33:41.8553487Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-12-04T09:33:41.8555041Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-12-04T09:33:41.8556177Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-12-04T09:33:41.8557285Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-12-04T09:33:41.8558404Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-12-04T09:33:41.8559502Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-12-04T09:33:41.8560838Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-12-04T09:33:41.8561597Z * [new tag] v2.7.1 -> v2.7.1 2025-12-04T09:33:41.8562899Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-12-04T09:33:41.8564534Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-12-04T09:33:41.8565824Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-12-04T09:33:41.8567126Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-12-04T09:33:41.8568175Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-12-04T09:33:41.8569079Z * [new tag] v2.8.0 -> v2.8.0 2025-12-04T09:33:41.8570329Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-12-04T09:33:41.8571306Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-12-04T09:33:41.8572462Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-12-04T09:33:41.8573767Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-12-04T09:33:41.8574789Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-12-04T09:33:41.8576054Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-12-04T09:33:41.8577099Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-12-04T09:33:41.8578204Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-12-04T09:33:41.8579415Z * [new tag] v2.9.0 -> v2.9.0 2025-12-04T09:33:41.8580471Z * [new tag] v2.9.0-rc1 -> v2.9.0-rc1 2025-12-04T09:33:41.8581704Z * [new tag] v2.9.0-rc10 -> v2.9.0-rc10 2025-12-04T09:33:41.8582739Z * [new tag] v2.9.0-rc11 -> v2.9.0-rc11 2025-12-04T09:33:41.8584189Z * [new tag] v2.9.0-rc2 -> v2.9.0-rc2 2025-12-04T09:33:41.8585261Z * [new tag] v2.9.0-rc3 -> v2.9.0-rc3 2025-12-04T09:33:41.8586354Z * [new tag] v2.9.0-rc4 -> v2.9.0-rc4 2025-12-04T09:33:41.8587471Z * [new tag] v2.9.0-rc5 -> v2.9.0-rc5 2025-12-04T09:33:41.8588924Z * [new tag] v2.9.0-rc6 -> v2.9.0-rc6 2025-12-04T09:33:41.8589971Z * [new tag] v2.9.0-rc7 -> v2.9.0-rc7 2025-12-04T09:33:41.8591381Z * [new tag] v2.9.0-rc8 -> v2.9.0-rc8 2025-12-04T09:33:41.8592094Z * [new tag] v2.9.0-rc9 -> v2.9.0-rc9 2025-12-04T09:33:41.8592954Z * [new tag] v2.9.1 -> v2.9.1 2025-12-04T09:33:41.8594216Z * [new tag] v2.9.1-rc1 -> v2.9.1-rc1 2025-12-04T09:33:41.8595287Z * [new tag] v2.9.1-rc2 -> v2.9.1-rc2 2025-12-04T09:33:41.8597172Z * [new tag] viable/strict/1759343184 -> viable/strict/1759343184 2025-12-04T09:33:41.8598153Z * [new tag] viable/strict/1759346540 -> viable/strict/1759346540 2025-12-04T09:33:41.8599207Z * [new tag] viable/strict/1759348181 -> viable/strict/1759348181 2025-12-04T09:33:41.8600335Z * [new tag] viable/strict/1759350324 -> viable/strict/1759350324 2025-12-04T09:33:41.8601404Z * [new tag] viable/strict/1759351793 -> viable/strict/1759351793 2025-12-04T09:33:41.8602371Z * [new tag] viable/strict/1759353844 -> viable/strict/1759353844 2025-12-04T09:33:41.8603392Z * [new tag] viable/strict/1759355374 -> viable/strict/1759355374 2025-12-04T09:33:41.8604351Z * [new tag] viable/strict/1759357472 -> viable/strict/1759357472 2025-12-04T09:33:41.8605337Z * [new tag] viable/strict/1759361002 -> viable/strict/1759361002 2025-12-04T09:33:41.8606777Z * [new tag] viable/strict/1759362585 -> viable/strict/1759362585 2025-12-04T09:33:41.8607917Z * [new tag] viable/strict/1759365359 -> viable/strict/1759365359 2025-12-04T09:33:41.8608966Z * [new tag] viable/strict/1759370089 -> viable/strict/1759370089 2025-12-04T09:33:41.8610031Z * [new tag] viable/strict/1759377554 -> viable/strict/1759377554 2025-12-04T09:33:41.8611097Z * [new tag] viable/strict/1759379133 -> viable/strict/1759379133 2025-12-04T09:33:41.8612118Z * [new tag] viable/strict/1759389871 -> viable/strict/1759389871 2025-12-04T09:33:41.8613216Z * [new tag] viable/strict/1759393562 -> viable/strict/1759393562 2025-12-04T09:33:41.8614281Z * [new tag] viable/strict/1759395076 -> viable/strict/1759395076 2025-12-04T09:33:41.8615364Z * [new tag] viable/strict/1759398579 -> viable/strict/1759398579 2025-12-04T09:33:41.8616441Z * [new tag] viable/strict/1759404142 -> viable/strict/1759404142 2025-12-04T09:33:41.8617424Z * [new tag] viable/strict/1759405773 -> viable/strict/1759405773 2025-12-04T09:33:41.8618491Z * [new tag] viable/strict/1759408041 -> viable/strict/1759408041 2025-12-04T09:33:41.8619543Z * [new tag] viable/strict/1759411593 -> viable/strict/1759411593 2025-12-04T09:33:41.8620560Z * [new tag] viable/strict/1759427395 -> viable/strict/1759427395 2025-12-04T09:33:41.8621555Z * [new tag] viable/strict/1759434582 -> viable/strict/1759434582 2025-12-04T09:33:41.8622583Z * [new tag] viable/strict/1759436720 -> viable/strict/1759436720 2025-12-04T09:33:41.8623788Z * [new tag] viable/strict/1759440219 -> viable/strict/1759440219 2025-12-04T09:33:41.8624765Z * [new tag] viable/strict/1759441948 -> viable/strict/1759441948 2025-12-04T09:33:41.8625757Z * [new tag] viable/strict/1759443860 -> viable/strict/1759443860 2025-12-04T09:33:41.8626772Z * [new tag] viable/strict/1759445377 -> viable/strict/1759445377 2025-12-04T09:33:41.8627923Z * [new tag] viable/strict/1759447415 -> viable/strict/1759447415 2025-12-04T09:33:41.8628983Z * [new tag] viable/strict/1759451750 -> viable/strict/1759451750 2025-12-04T09:33:41.8630177Z * [new tag] viable/strict/1759453910 -> viable/strict/1759453910 2025-12-04T09:33:41.8631258Z * [new tag] viable/strict/1759456483 -> viable/strict/1759456483 2025-12-04T09:33:41.8632349Z * [new tag] viable/strict/1759459279 -> viable/strict/1759459279 2025-12-04T09:33:41.8633400Z * [new tag] viable/strict/1759460742 -> viable/strict/1759460742 2025-12-04T09:33:41.8634418Z * [new tag] viable/strict/1759462025 -> viable/strict/1759462025 2025-12-04T09:33:41.8635553Z * [new tag] viable/strict/1759469086 -> viable/strict/1759469086 2025-12-04T09:33:41.8636738Z * [new tag] viable/strict/1759470581 -> viable/strict/1759470581 2025-12-04T09:33:41.8637759Z * [new tag] viable/strict/1759472786 -> viable/strict/1759472786 2025-12-04T09:33:41.8638758Z * [new tag] viable/strict/1759476294 -> viable/strict/1759476294 2025-12-04T09:33:41.8639795Z * [new tag] viable/strict/1759479963 -> viable/strict/1759479963 2025-12-04T09:33:41.8641369Z * [new tag] viable/strict/1759492177 -> viable/strict/1759492177 2025-12-04T09:33:41.8642342Z * [new tag] viable/strict/1759519278 -> viable/strict/1759519278 2025-12-04T09:33:41.8643347Z * [new tag] viable/strict/1759524580 -> viable/strict/1759524580 2025-12-04T09:33:41.8644345Z * [new tag] viable/strict/1759528193 -> viable/strict/1759528193 2025-12-04T09:33:41.8645746Z * [new tag] viable/strict/1759533797 -> viable/strict/1759533797 2025-12-04T09:33:41.8646706Z * [new tag] viable/strict/1759542780 -> viable/strict/1759542780 2025-12-04T09:33:41.8647750Z * [new tag] viable/strict/1759549779 -> viable/strict/1759549779 2025-12-04T09:33:41.8648829Z * [new tag] viable/strict/1759555455 -> viable/strict/1759555455 2025-12-04T09:33:41.8649910Z * [new tag] viable/strict/1759559176 -> viable/strict/1759559176 2025-12-04T09:33:41.8650953Z * [new tag] viable/strict/1759560629 -> viable/strict/1759560629 2025-12-04T09:33:41.8651951Z * [new tag] viable/strict/1759569848 -> viable/strict/1759569848 2025-12-04T09:33:41.8653345Z * [new tag] viable/strict/1759571382 -> viable/strict/1759571382 2025-12-04T09:33:41.8654305Z * [new tag] viable/strict/1759573474 -> viable/strict/1759573474 2025-12-04T09:33:41.8655299Z * [new tag] viable/strict/1759618187 -> viable/strict/1759618187 2025-12-04T09:33:41.8656358Z * [new tag] viable/strict/1759626742 -> viable/strict/1759626742 2025-12-04T09:33:41.8657432Z * [new tag] viable/strict/1759632427 -> viable/strict/1759632427 2025-12-04T09:33:41.8658540Z * [new tag] viable/strict/1759634971 -> viable/strict/1759634971 2025-12-04T09:33:41.8659600Z * [new tag] viable/strict/1759661382 -> viable/strict/1759661382 2025-12-04T09:33:41.8660696Z * [new tag] viable/strict/1759663294 -> viable/strict/1759663294 2025-12-04T09:33:41.8661584Z * [new tag] viable/strict/1759708178 -> viable/strict/1759708178 2025-12-04T09:33:41.8662827Z * [new tag] viable/strict/1759715695 -> viable/strict/1759715695 2025-12-04T09:33:41.8663669Z * [new tag] viable/strict/1759728293 -> viable/strict/1759728293 2025-12-04T09:33:41.8664832Z * [new tag] viable/strict/1759735513 -> viable/strict/1759735513 2025-12-04T09:33:41.8665902Z * [new tag] viable/strict/1759739177 -> viable/strict/1759739177 2025-12-04T09:33:41.8666970Z * [new tag] viable/strict/1759758635 -> viable/strict/1759758635 2025-12-04T09:33:41.8668024Z * [new tag] viable/strict/1759765784 -> viable/strict/1759765784 2025-12-04T09:33:41.8669081Z * [new tag] viable/strict/1759767948 -> viable/strict/1759767948 2025-12-04T09:33:41.8670166Z * [new tag] viable/strict/1759771461 -> viable/strict/1759771461 2025-12-04T09:33:41.8671076Z * [new tag] viable/strict/1759776706 -> viable/strict/1759776706 2025-12-04T09:33:41.8672119Z * [new tag] viable/strict/1759782317 -> viable/strict/1759782317 2025-12-04T09:33:41.8673236Z * [new tag] viable/strict/1759783777 -> viable/strict/1759783777 2025-12-04T09:33:41.8674368Z * [new tag] viable/strict/1759785815 -> viable/strict/1759785815 2025-12-04T09:33:41.8675440Z * [new tag] viable/strict/1759789459 -> viable/strict/1759789459 2025-12-04T09:33:41.8676618Z * [new tag] viable/strict/1759790974 -> viable/strict/1759790974 2025-12-04T09:33:41.8677479Z * [new tag] viable/strict/1759794583 -> viable/strict/1759794583 2025-12-04T09:33:41.8678535Z * [new tag] viable/strict/1759797408 -> viable/strict/1759797408 2025-12-04T09:33:41.8679629Z * [new tag] viable/strict/1759799518 -> viable/strict/1759799518 2025-12-04T09:33:41.8680635Z * [new tag] viable/strict/1759804909 -> viable/strict/1759804909 2025-12-04T09:33:41.8681682Z * [new tag] viable/strict/1759807643 -> viable/strict/1759807643 2025-12-04T09:33:41.8682751Z * [new tag] viable/strict/1759809089 -> viable/strict/1759809089 2025-12-04T09:33:41.8683787Z * [new tag] viable/strict/1759811145 -> viable/strict/1759811145 2025-12-04T09:33:41.8684813Z * [new tag] viable/strict/1759812581 -> viable/strict/1759812581 2025-12-04T09:33:41.8685885Z * [new tag] viable/strict/1759814683 -> viable/strict/1759814683 2025-12-04T09:33:41.8686934Z * [new tag] viable/strict/1759821889 -> viable/strict/1759821889 2025-12-04T09:33:41.8688042Z * [new tag] viable/strict/1759823376 -> viable/strict/1759823376 2025-12-04T09:33:41.8689047Z * [new tag] viable/strict/1759827107 -> viable/strict/1759827107 2025-12-04T09:33:41.8690061Z * [new tag] viable/strict/1759830577 -> viable/strict/1759830577 2025-12-04T09:33:41.8691250Z * [new tag] viable/strict/1759832720 -> viable/strict/1759832720 2025-12-04T09:33:41.8692246Z * [new tag] viable/strict/1759842063 -> viable/strict/1759842063 2025-12-04T09:33:41.8693241Z * [new tag] viable/strict/1759847121 -> viable/strict/1759847121 2025-12-04T09:33:41.8694742Z * [new tag] viable/strict/1759850721 -> viable/strict/1759850721 2025-12-04T09:33:41.8695669Z * [new tag] viable/strict/1759857870 -> viable/strict/1759857870 2025-12-04T09:33:41.8696759Z * [new tag] viable/strict/1759863143 -> viable/strict/1759863143 2025-12-04T09:33:41.8697770Z * [new tag] viable/strict/1759875874 -> viable/strict/1759875874 2025-12-04T09:33:41.8698726Z * [new tag] viable/strict/1759877385 -> viable/strict/1759877385 2025-12-04T09:33:41.8699836Z * [new tag] viable/strict/1759883801 -> viable/strict/1759883801 2025-12-04T09:33:41.8701210Z * [new tag] viable/strict/1759885922 -> viable/strict/1759885922 2025-12-04T09:33:41.8702129Z * [new tag] viable/strict/1759888488 -> viable/strict/1759888488 2025-12-04T09:33:41.8703134Z * [new tag] viable/strict/1759895471 -> viable/strict/1759895471 2025-12-04T09:33:41.8704168Z * [new tag] viable/strict/1759904803 -> viable/strict/1759904803 2025-12-04T09:33:41.8705554Z * [new tag] viable/strict/1759908300 -> viable/strict/1759908300 2025-12-04T09:33:41.8706618Z * [new tag] viable/strict/1759915520 -> viable/strict/1759915520 2025-12-04T09:33:41.8707695Z * [new tag] viable/strict/1759916978 -> viable/strict/1759916978 2025-12-04T09:33:41.8708603Z * [new tag] viable/strict/1759930024 -> viable/strict/1759930024 2025-12-04T09:33:41.8710226Z * [new tag] viable/strict/1759948122 -> viable/strict/1759948122 2025-12-04T09:33:41.8711249Z * [new tag] viable/strict/1759952983 -> viable/strict/1759952983 2025-12-04T09:33:41.8712346Z * [new tag] viable/strict/1759955121 -> viable/strict/1759955121 2025-12-04T09:33:41.8713408Z * [new tag] viable/strict/1759962298 -> viable/strict/1759962298 2025-12-04T09:33:41.8714497Z * [new tag] viable/strict/1759965837 -> viable/strict/1759965837 2025-12-04T09:33:41.8715683Z * [new tag] viable/strict/1759970213 -> viable/strict/1759970213 2025-12-04T09:33:41.8716817Z * [new tag] viable/strict/1759974894 -> viable/strict/1759974894 2025-12-04T09:33:41.8717876Z * [new tag] viable/strict/1759977763 -> viable/strict/1759977763 2025-12-04T09:33:41.8718938Z * [new tag] viable/strict/1759979241 -> viable/strict/1759979241 2025-12-04T09:33:41.8720059Z * [new tag] viable/strict/1759985417 -> viable/strict/1759985417 2025-12-04T09:33:41.8721115Z * [new tag] viable/strict/1759987490 -> viable/strict/1759987490 2025-12-04T09:33:41.8722163Z * [new tag] viable/strict/1759996180 -> viable/strict/1759996180 2025-12-04T09:33:41.8723171Z * [new tag] viable/strict/1760065682 -> viable/strict/1760065682 2025-12-04T09:33:41.8724249Z * [new tag] viable/strict/1760066894 -> viable/strict/1760066894 2025-12-04T09:33:41.8725362Z * [new tag] viable/strict/1760070345 -> viable/strict/1760070345 2025-12-04T09:33:41.8726537Z * [new tag] viable/strict/1760089782 -> viable/strict/1760089782 2025-12-04T09:33:41.8727551Z * [new tag] viable/strict/1760091921 -> viable/strict/1760091921 2025-12-04T09:33:41.8728593Z * [new tag] viable/strict/1760127924 -> viable/strict/1760127924 2025-12-04T09:33:41.8729631Z * [new tag] viable/strict/1760129489 -> viable/strict/1760129489 2025-12-04T09:33:41.8730791Z * [new tag] viable/strict/1760132980 -> viable/strict/1760132980 2025-12-04T09:33:41.8731905Z * [new tag] viable/strict/1760135060 -> viable/strict/1760135060 2025-12-04T09:33:41.8732953Z * [new tag] viable/strict/1760215782 -> viable/strict/1760215782 2025-12-04T09:33:41.8734166Z * [new tag] viable/strict/1760273849 -> viable/strict/1760273849 2025-12-04T09:33:41.8735254Z * [new tag] viable/strict/1760275517 -> viable/strict/1760275517 2025-12-04T09:33:41.8736272Z * [new tag] viable/strict/1760276979 -> viable/strict/1760276979 2025-12-04T09:33:41.8737366Z * [new tag] viable/strict/1760279007 -> viable/strict/1760279007 2025-12-04T09:33:41.8738254Z * [new tag] viable/strict/1760286328 -> viable/strict/1760286328 2025-12-04T09:33:41.8739134Z * [new tag] viable/strict/1760493304 -> viable/strict/1760493304 2025-12-04T09:33:41.8740239Z * [new tag] viable/strict/1760496298 -> viable/strict/1760496298 2025-12-04T09:33:41.8741224Z * [new tag] viable/strict/1760518396 -> viable/strict/1760518396 2025-12-04T09:33:41.8742259Z * [new tag] viable/strict/1760534864 -> viable/strict/1760534864 2025-12-04T09:33:41.8743310Z * [new tag] viable/strict/1760549062 -> viable/strict/1760549062 2025-12-04T09:33:41.8744502Z * [new tag] viable/strict/1760552799 -> viable/strict/1760552799 2025-12-04T09:33:41.8745606Z * [new tag] viable/strict/1760554355 -> viable/strict/1760554355 2025-12-04T09:33:41.8746665Z * [new tag] viable/strict/1760556275 -> viable/strict/1760556275 2025-12-04T09:33:41.8747746Z * [new tag] viable/strict/1760564979 -> viable/strict/1760564979 2025-12-04T09:33:41.8748879Z * [new tag] viable/strict/1760567049 -> viable/strict/1760567049 2025-12-04T09:33:41.8750493Z * [new tag] viable/strict/1760568585 -> viable/strict/1760568585 2025-12-04T09:33:41.8751431Z * [new tag] viable/strict/1760570630 -> viable/strict/1760570630 2025-12-04T09:33:41.8752458Z * [new tag] viable/strict/1760572180 -> viable/strict/1760572180 2025-12-04T09:33:41.8753559Z * [new tag] viable/strict/1760575094 -> viable/strict/1760575094 2025-12-04T09:33:41.8754726Z * [new tag] viable/strict/1760579709 -> viable/strict/1760579709 2025-12-04T09:33:41.8756544Z * [new tag] viable/strict/1760582614 -> viable/strict/1760582614 2025-12-04T09:33:41.8757549Z * [new tag] viable/strict/1760586815 -> viable/strict/1760586815 2025-12-04T09:33:41.8758523Z * [new tag] viable/strict/1760588829 -> viable/strict/1760588829 2025-12-04T09:33:41.8759587Z * [new tag] viable/strict/1760590200 -> viable/strict/1760590200 2025-12-04T09:33:41.8760678Z * [new tag] viable/strict/1760592311 -> viable/strict/1760592311 2025-12-04T09:33:41.8761702Z * [new tag] viable/strict/1760619733 -> viable/strict/1760619733 2025-12-04T09:33:41.8762599Z * [new tag] viable/strict/1760628335 -> viable/strict/1760628335 2025-12-04T09:33:41.8763626Z * [new tag] viable/strict/1760635490 -> viable/strict/1760635490 2025-12-04T09:33:41.8764696Z * [new tag] viable/strict/1760640743 -> viable/strict/1760640743 2025-12-04T09:33:41.8765730Z * [new tag] viable/strict/1760642528 -> viable/strict/1760642528 2025-12-04T09:33:41.8766784Z * [new tag] viable/strict/1760646330 -> viable/strict/1760646330 2025-12-04T09:33:41.8767788Z * [new tag] viable/strict/1760666101 -> viable/strict/1760666101 2025-12-04T09:33:41.8768974Z * [new tag] viable/strict/1760668990 -> viable/strict/1760668990 2025-12-04T09:33:41.8770013Z * [new tag] viable/strict/1760670600 -> viable/strict/1760670600 2025-12-04T09:33:41.8771062Z * [new tag] viable/strict/1760671704 -> viable/strict/1760671704 2025-12-04T09:33:41.8772119Z * [new tag] viable/strict/1760673121 -> viable/strict/1760673121 2025-12-04T09:33:41.8773150Z * [new tag] viable/strict/1760675352 -> viable/strict/1760675352 2025-12-04T09:33:41.8774251Z * [new tag] viable/strict/1760696731 -> viable/strict/1760696731 2025-12-04T09:33:41.8776947Z * [new tag] viable/strict/1760723515 -> viable/strict/1760723515 2025-12-04T09:33:41.8777903Z * [new tag] viable/strict/1760727234 -> viable/strict/1760727234 2025-12-04T09:33:41.8779021Z * [new tag] viable/strict/1760730578 -> viable/strict/1760730578 2025-12-04T09:33:41.8780075Z * [new tag] viable/strict/1760732726 -> viable/strict/1760732726 2025-12-04T09:33:41.8781708Z * [new tag] viable/strict/1760734180 -> viable/strict/1760734180 2025-12-04T09:33:41.8782674Z * [new tag] viable/strict/1760736251 -> viable/strict/1760736251 2025-12-04T09:33:41.8783805Z * [new tag] viable/strict/1760737772 -> viable/strict/1760737772 2025-12-04T09:33:41.8784866Z * [new tag] viable/strict/1760758005 -> viable/strict/1760758005 2025-12-04T09:33:41.8785886Z * [new tag] viable/strict/1760761532 -> viable/strict/1760761532 2025-12-04T09:33:41.8786987Z * [new tag] viable/strict/1760802581 -> viable/strict/1760802581 2025-12-04T09:33:41.8788106Z * [new tag] viable/strict/1760827772 -> viable/strict/1760827772 2025-12-04T09:33:41.8789078Z * [new tag] viable/strict/1760834524 -> viable/strict/1760834524 2025-12-04T09:33:41.8790173Z * [new tag] viable/strict/1760845009 -> viable/strict/1760845009 2025-12-04T09:33:41.8791219Z * [new tag] viable/strict/1760876836 -> viable/strict/1760876836 2025-12-04T09:33:41.8792274Z * [new tag] viable/strict/1760880329 -> viable/strict/1760880329 2025-12-04T09:33:41.8793281Z * [new tag] viable/strict/1760888987 -> viable/strict/1760888987 2025-12-04T09:33:41.8794338Z * [new tag] viable/strict/1760912664 -> viable/strict/1760912664 2025-12-04T09:33:41.8795388Z * [new tag] viable/strict/1760925321 -> viable/strict/1760925321 2025-12-04T09:33:41.8796631Z * [new tag] viable/strict/1760931488 -> viable/strict/1760931488 2025-12-04T09:33:41.8797686Z * [new tag] viable/strict/1760932693 -> viable/strict/1760932693 2025-12-04T09:33:41.8798771Z * [new tag] viable/strict/1761004184 -> viable/strict/1761004184 2025-12-04T09:33:41.8799826Z * [new tag] viable/strict/1761014748 -> viable/strict/1761014748 2025-12-04T09:33:41.8805076Z * [new tag] viable/strict/1761017491 -> viable/strict/1761017491 2025-12-04T09:33:41.8806200Z * [new tag] viable/strict/1761018806 -> viable/strict/1761018806 2025-12-04T09:33:41.8807419Z * [new tag] viable/strict/1761020754 -> viable/strict/1761020754 2025-12-04T09:33:41.8808476Z * [new tag] viable/strict/1761024303 -> viable/strict/1761024303 2025-12-04T09:33:41.8809630Z * [new tag] viable/strict/1761029582 -> viable/strict/1761029582 2025-12-04T09:33:41.8810676Z * [new tag] viable/strict/1761031535 -> viable/strict/1761031535 2025-12-04T09:33:41.8811720Z * [new tag] viable/strict/1761035196 -> viable/strict/1761035196 2025-12-04T09:33:41.8812937Z * [new tag] viable/strict/1761045825 -> viable/strict/1761045825 2025-12-04T09:33:41.8814089Z * [new tag] viable/strict/1761054796 -> viable/strict/1761054796 2025-12-04T09:33:41.8815143Z * [new tag] viable/strict/1761060314 -> viable/strict/1761060314 2025-12-04T09:33:41.8816218Z * [new tag] viable/strict/1761071198 -> viable/strict/1761071198 2025-12-04T09:33:41.8817332Z * [new tag] viable/strict/1761074628 -> viable/strict/1761074628 2025-12-04T09:33:41.8818418Z * [new tag] viable/strict/1761078351 -> viable/strict/1761078351 2025-12-04T09:33:41.8819467Z * [new tag] viable/strict/1761079822 -> viable/strict/1761079822 2025-12-04T09:33:41.8820492Z * [new tag] viable/strict/1761081873 -> viable/strict/1761081873 2025-12-04T09:33:41.8821611Z * [new tag] viable/strict/1761083392 -> viable/strict/1761083392 2025-12-04T09:33:41.8823146Z * [new tag] viable/strict/1761085465 -> viable/strict/1761085465 2025-12-04T09:33:41.8824213Z * [new tag] viable/strict/1761089099 -> viable/strict/1761089099 2025-12-04T09:33:41.8825399Z * [new tag] viable/strict/1761095535 -> viable/strict/1761095535 2025-12-04T09:33:41.8826324Z * [new tag] viable/strict/1761098119 -> viable/strict/1761098119 2025-12-04T09:33:41.8827980Z * [new tag] viable/strict/1761101330 -> viable/strict/1761101330 2025-12-04T09:33:41.8828963Z * [new tag] viable/strict/1761114425 -> viable/strict/1761114425 2025-12-04T09:33:41.8830046Z * [new tag] viable/strict/1761116036 -> viable/strict/1761116036 2025-12-04T09:33:41.8831098Z * [new tag] viable/strict/1761119379 -> viable/strict/1761119379 2025-12-04T09:33:41.8832165Z * [new tag] viable/strict/1761121601 -> viable/strict/1761121601 2025-12-04T09:33:41.8833192Z * [new tag] viable/strict/1761123234 -> viable/strict/1761123234 2025-12-04T09:33:41.8834186Z * [new tag] viable/strict/1761126621 -> viable/strict/1761126621 2025-12-04T09:33:41.8835217Z * [new tag] viable/strict/1761132259 -> viable/strict/1761132259 2025-12-04T09:33:41.8836487Z * [new tag] viable/strict/1761146746 -> viable/strict/1761146746 2025-12-04T09:33:41.8837542Z * [new tag] viable/strict/1761164752 -> viable/strict/1761164752 2025-12-04T09:33:41.8838572Z * [new tag] viable/strict/1761166198 -> viable/strict/1761166198 2025-12-04T09:33:41.8839643Z * [new tag] viable/strict/1761175424 -> viable/strict/1761175424 2025-12-04T09:33:41.8840719Z * [new tag] viable/strict/1761176983 -> viable/strict/1761176983 2025-12-04T09:33:41.8841936Z * [new tag] viable/strict/1761179891 -> viable/strict/1761179891 2025-12-04T09:33:41.8843025Z * [new tag] viable/strict/1761181930 -> viable/strict/1761181930 2025-12-04T09:33:41.8844082Z * [new tag] viable/strict/1761184516 -> viable/strict/1761184516 2025-12-04T09:33:41.8845318Z * [new tag] viable/strict/1761190179 -> viable/strict/1761190179 2025-12-04T09:33:41.8846392Z * [new tag] viable/strict/1761193558 -> viable/strict/1761193558 2025-12-04T09:33:41.8847424Z * [new tag] viable/strict/1761207990 -> viable/strict/1761207990 2025-12-04T09:33:41.8848511Z * [new tag] viable/strict/1761229539 -> viable/strict/1761229539 2025-12-04T09:33:41.8849957Z * [new tag] viable/strict/1761244031 -> viable/strict/1761244031 2025-12-04T09:33:41.8850911Z * [new tag] viable/strict/1761248986 -> viable/strict/1761248986 2025-12-04T09:33:41.8851945Z * [new tag] viable/strict/1761259791 -> viable/strict/1761259791 2025-12-04T09:33:41.8852970Z * [new tag] viable/strict/1761266139 -> viable/strict/1761266139 2025-12-04T09:33:41.8854093Z * [new tag] viable/strict/1761268316 -> viable/strict/1761268316 2025-12-04T09:33:41.8855184Z * [new tag] viable/strict/1761273805 -> viable/strict/1761273805 2025-12-04T09:33:41.8856740Z * [new tag] viable/strict/1761275261 -> viable/strict/1761275261 2025-12-04T09:33:41.8857779Z * [new tag] viable/strict/1761277913 -> viable/strict/1761277913 2025-12-04T09:33:41.8858887Z * [new tag] viable/strict/1761290701 -> viable/strict/1761290701 2025-12-04T09:33:41.8860030Z * [new tag] viable/strict/1761294396 -> viable/strict/1761294396 2025-12-04T09:33:41.8861071Z * [new tag] viable/strict/1761303047 -> viable/strict/1761303047 2025-12-04T09:33:41.8862126Z * [new tag] viable/strict/1761335388 -> viable/strict/1761335388 2025-12-04T09:33:41.8863185Z * [new tag] viable/strict/1761337551 -> viable/strict/1761337551 2025-12-04T09:33:41.8864328Z * [new tag] viable/strict/1761339007 -> viable/strict/1761339007 2025-12-04T09:33:41.8865432Z * [new tag] viable/strict/1761341050 -> viable/strict/1761341050 2025-12-04T09:33:41.8866553Z * [new tag] viable/strict/1761346188 -> viable/strict/1761346188 2025-12-04T09:33:41.8867713Z * [new tag] viable/strict/1761349792 -> viable/strict/1761349792 2025-12-04T09:33:41.8868805Z * [new tag] viable/strict/1761352620 -> viable/strict/1761352620 2025-12-04T09:33:41.8869881Z * [new tag] viable/strict/1761354730 -> viable/strict/1761354730 2025-12-04T09:33:41.8871030Z * [new tag] viable/strict/1761357298 -> viable/strict/1761357298 2025-12-04T09:33:41.8872063Z * [new tag] viable/strict/1761360201 -> viable/strict/1761360201 2025-12-04T09:33:41.8873125Z * [new tag] viable/strict/1761361753 -> viable/strict/1761361753 2025-12-04T09:33:41.8874191Z * [new tag] viable/strict/1761364351 -> viable/strict/1761364351 2025-12-04T09:33:41.8875264Z * [new tag] viable/strict/1761366338 -> viable/strict/1761366338 2025-12-04T09:33:41.8876716Z * [new tag] viable/strict/1761367802 -> viable/strict/1761367802 2025-12-04T09:33:41.8877685Z * [new tag] viable/strict/1761369889 -> viable/strict/1761369889 2025-12-04T09:33:41.8878791Z * [new tag] viable/strict/1761371385 -> viable/strict/1761371385 2025-12-04T09:33:41.8879936Z * [new tag] viable/strict/1761373581 -> viable/strict/1761373581 2025-12-04T09:33:41.8881183Z * [new tag] viable/strict/1761375054 -> viable/strict/1761375054 2025-12-04T09:33:41.8882333Z * [new tag] viable/strict/1761421785 -> viable/strict/1761421785 2025-12-04T09:33:41.8883495Z * [new tag] viable/strict/1761434614 -> viable/strict/1761434614 2025-12-04T09:33:41.8885038Z * [new tag] viable/strict/1761439254 -> viable/strict/1761439254 2025-12-04T09:33:41.8886032Z * [new tag] viable/strict/1761454187 -> viable/strict/1761454187 2025-12-04T09:33:41.8887180Z * [new tag] viable/strict/1761459991 -> viable/strict/1761459991 2025-12-04T09:33:41.8888450Z * [new tag] viable/strict/1761470668 -> viable/strict/1761470668 2025-12-04T09:33:41.8890062Z * [new tag] viable/strict/1761472188 -> viable/strict/1761472188 2025-12-04T09:33:41.8891073Z * [new tag] viable/strict/1761503178 -> viable/strict/1761503178 2025-12-04T09:33:41.8892151Z * [new tag] viable/strict/1761517492 -> viable/strict/1761517492 2025-12-04T09:33:41.8893234Z * [new tag] viable/strict/1761518981 -> viable/strict/1761518981 2025-12-04T09:33:41.8894425Z * [new tag] viable/strict/1761533609 -> viable/strict/1761533609 2025-12-04T09:33:41.8895336Z * [new tag] viable/strict/1761546438 -> viable/strict/1761546438 2025-12-04T09:33:41.8896536Z * [new tag] viable/strict/1761548133 -> viable/strict/1761548133 2025-12-04T09:33:41.8897973Z * [new tag] viable/strict/1761555186 -> viable/strict/1761555186 2025-12-04T09:33:41.8899090Z * [new tag] viable/strict/1761557178 -> viable/strict/1761557178 2025-12-04T09:33:41.8900299Z * [new tag] viable/strict/1761560772 -> viable/strict/1761560772 2025-12-04T09:33:41.8901495Z * [new tag] viable/strict/1761562266 -> viable/strict/1761562266 2025-12-04T09:33:41.8902645Z * [new tag] viable/strict/1761564260 -> viable/strict/1761564260 2025-12-04T09:33:41.8903754Z * [new tag] viable/strict/1761568072 -> viable/strict/1761568072 2025-12-04T09:33:41.8904778Z * [new tag] viable/strict/1761571683 -> viable/strict/1761571683 2025-12-04T09:33:41.8905795Z * [new tag] viable/strict/1761580199 -> viable/strict/1761580199 2025-12-04T09:33:41.8906780Z * [new tag] viable/strict/1761587383 -> viable/strict/1761587383 2025-12-04T09:33:41.8907921Z * [new tag] viable/strict/1761591165 -> viable/strict/1761591165 2025-12-04T09:33:41.8908971Z * [new tag] viable/strict/1761594575 -> viable/strict/1761594575 2025-12-04T09:33:41.8910033Z * [new tag] viable/strict/1761596710 -> viable/strict/1761596710 2025-12-04T09:33:41.8911118Z * [new tag] viable/strict/1761598189 -> viable/strict/1761598189 2025-12-04T09:33:41.8912204Z * [new tag] viable/strict/1761600254 -> viable/strict/1761600254 2025-12-04T09:33:41.8913274Z * [new tag] viable/strict/1761603879 -> viable/strict/1761603879 2025-12-04T09:33:41.8914354Z * [new tag] viable/strict/1761605429 -> viable/strict/1761605429 2025-12-04T09:33:41.8915536Z * [new tag] viable/strict/1761607468 -> viable/strict/1761607468 2025-12-04T09:33:41.8916761Z * [new tag] viable/strict/1761608983 -> viable/strict/1761608983 2025-12-04T09:33:41.8918007Z * [new tag] viable/strict/1761611846 -> viable/strict/1761611846 2025-12-04T09:33:41.8919125Z * [new tag] viable/strict/1761613922 -> viable/strict/1761613922 2025-12-04T09:33:41.8920022Z * [new tag] viable/strict/1761616504 -> viable/strict/1761616504 2025-12-04T09:33:41.8920933Z * [new tag] viable/strict/1761619599 -> viable/strict/1761619599 2025-12-04T09:33:41.8922015Z * [new tag] viable/strict/1761686693 -> viable/strict/1761686693 2025-12-04T09:33:41.8923081Z * [new tag] viable/strict/1761688179 -> viable/strict/1761688179 2025-12-04T09:33:41.8924183Z * [new tag] viable/strict/1761691973 -> viable/strict/1761691973 2025-12-04T09:33:41.8925400Z * [new tag] viable/strict/1761693884 -> viable/strict/1761693884 2025-12-04T09:33:41.8926507Z * [new tag] viable/strict/1761695389 -> viable/strict/1761695389 2025-12-04T09:33:41.8927599Z * [new tag] viable/strict/1761698408 -> viable/strict/1761698408 2025-12-04T09:33:41.8929233Z * [new tag] viable/strict/1761702931 -> viable/strict/1761702931 2025-12-04T09:33:41.8930248Z * [new tag] viable/strict/1761706307 -> viable/strict/1761706307 2025-12-04T09:33:41.8931348Z * [new tag] viable/strict/1761709065 -> viable/strict/1761709065 2025-12-04T09:33:41.8932529Z * [new tag] viable/strict/1761710285 -> viable/strict/1761710285 2025-12-04T09:33:41.8933650Z * [new tag] viable/strict/1761711983 -> viable/strict/1761711983 2025-12-04T09:33:41.8934789Z * [new tag] viable/strict/1761713514 -> viable/strict/1761713514 2025-12-04T09:33:41.8936020Z * [new tag] viable/strict/1761715523 -> viable/strict/1761715523 2025-12-04T09:33:41.8937152Z * [new tag] viable/strict/1761727973 -> viable/strict/1761727973 2025-12-04T09:33:41.8938325Z * [new tag] viable/strict/1761751558 -> viable/strict/1761751558 2025-12-04T09:33:41.8939408Z * [new tag] viable/strict/1761755187 -> viable/strict/1761755187 2025-12-04T09:33:41.8940581Z * [new tag] viable/strict/1761756826 -> viable/strict/1761756826 2025-12-04T09:33:41.8941758Z * [new tag] viable/strict/1761769551 -> viable/strict/1761769551 2025-12-04T09:33:41.8942999Z * [new tag] viable/strict/1761771032 -> viable/strict/1761771032 2025-12-04T09:33:41.8943951Z * [new tag] viable/strict/1761773101 -> viable/strict/1761773101 2025-12-04T09:33:41.8945099Z * [new tag] viable/strict/1761781792 -> viable/strict/1761781792 2025-12-04T09:33:41.8946311Z * [new tag] viable/strict/1761784788 -> viable/strict/1761784788 2025-12-04T09:33:41.8947368Z * [new tag] viable/strict/1761786740 -> viable/strict/1761786740 2025-12-04T09:33:41.8948463Z * [new tag] viable/strict/1761789332 -> viable/strict/1761789332 2025-12-04T09:33:41.8950190Z * [new tag] viable/strict/1761792569 -> viable/strict/1761792569 2025-12-04T09:33:41.8951200Z * [new tag] viable/strict/1761795289 -> viable/strict/1761795289 2025-12-04T09:33:41.8952318Z * [new tag] viable/strict/1761798345 -> viable/strict/1761798345 2025-12-04T09:33:41.8953402Z * [new tag] viable/strict/1761799827 -> viable/strict/1761799827 2025-12-04T09:33:41.8954659Z * [new tag] viable/strict/1761805604 -> viable/strict/1761805604 2025-12-04T09:33:41.8955844Z * [new tag] viable/strict/1761807202 -> viable/strict/1761807202 2025-12-04T09:33:41.8957036Z * [new tag] viable/strict/1761809094 -> viable/strict/1761809094 2025-12-04T09:33:41.8958139Z * [new tag] viable/strict/1761810576 -> viable/strict/1761810576 2025-12-04T09:33:41.8959251Z * [new tag] viable/strict/1761812771 -> viable/strict/1761812771 2025-12-04T09:33:41.8960367Z * [new tag] viable/strict/1761814363 -> viable/strict/1761814363 2025-12-04T09:33:41.8961479Z * [new tag] viable/strict/1761857410 -> viable/strict/1761857410 2025-12-04T09:33:41.8962591Z * [new tag] viable/strict/1761860985 -> viable/strict/1761860985 2025-12-04T09:33:41.8963695Z * [new tag] viable/strict/1761863094 -> viable/strict/1761863094 2025-12-04T09:33:41.8964830Z * [new tag] viable/strict/1761864590 -> viable/strict/1761864590 2025-12-04T09:33:41.8965944Z * [new tag] viable/strict/1761866675 -> viable/strict/1761866675 2025-12-04T09:33:41.8967348Z * [new tag] viable/strict/1761868178 -> viable/strict/1761868178 2025-12-04T09:33:41.8968413Z * [new tag] viable/strict/1761871111 -> viable/strict/1761871111 2025-12-04T09:33:41.8969581Z * [new tag] viable/strict/1761873126 -> viable/strict/1761873126 2025-12-04T09:33:41.8970693Z * [new tag] viable/strict/1761875714 -> viable/strict/1761875714 2025-12-04T09:33:41.8971853Z * [new tag] viable/strict/1761878924 -> viable/strict/1761878924 2025-12-04T09:33:41.8972976Z * [new tag] viable/strict/1761881727 -> viable/strict/1761881727 2025-12-04T09:33:41.8974104Z * [new tag] viable/strict/1761882959 -> viable/strict/1761882959 2025-12-04T09:33:41.8975192Z * [new tag] viable/strict/1761886268 -> viable/strict/1761886268 2025-12-04T09:33:41.8976300Z * [new tag] viable/strict/1761893641 -> viable/strict/1761893641 2025-12-04T09:33:41.8977478Z * [new tag] viable/strict/1761931517 -> viable/strict/1761931517 2025-12-04T09:33:41.8978592Z * [new tag] viable/strict/1761933080 -> viable/strict/1761933080 2025-12-04T09:33:41.8979680Z * [new tag] viable/strict/1761935217 -> viable/strict/1761935217 2025-12-04T09:33:41.8980921Z * [new tag] viable/strict/1761938533 -> viable/strict/1761938533 2025-12-04T09:33:41.8982063Z * [new tag] viable/strict/1761940184 -> viable/strict/1761940184 2025-12-04T09:33:41.8983263Z * [new tag] viable/strict/1761942338 -> viable/strict/1761942338 2025-12-04T09:33:41.8984355Z * [new tag] viable/strict/1761946100 -> viable/strict/1761946100 2025-12-04T09:33:41.8985459Z * [new tag] viable/strict/1761947374 -> viable/strict/1761947374 2025-12-04T09:33:41.8986576Z * [new tag] viable/strict/1761950978 -> viable/strict/1761950978 2025-12-04T09:33:41.8987751Z * [new tag] viable/strict/1761957727 -> viable/strict/1761957727 2025-12-04T09:33:41.8988762Z * [new tag] viable/strict/1761959532 -> viable/strict/1761959532 2025-12-04T09:33:41.8989882Z * [new tag] viable/strict/1761965366 -> viable/strict/1761965366 2025-12-04T09:33:41.8991393Z * [new tag] viable/strict/1761968066 -> viable/strict/1761968066 2025-12-04T09:33:41.8992415Z * [new tag] viable/strict/1761969322 -> viable/strict/1761969322 2025-12-04T09:33:41.8995090Z * [new tag] viable/strict/1761974723 -> viable/strict/1761974723 2025-12-04T09:33:41.8995732Z * [new tag] viable/strict/1761981837 -> viable/strict/1761981837 2025-12-04T09:33:41.8996766Z * [new tag] viable/strict/1761985546 -> viable/strict/1761985546 2025-12-04T09:33:41.8997353Z * [new tag] viable/strict/1761987030 -> viable/strict/1761987030 2025-12-04T09:33:41.8998403Z * [new tag] viable/strict/1762003554 -> viable/strict/1762003554 2025-12-04T09:33:41.8999469Z * [new tag] viable/strict/1762021560 -> viable/strict/1762021560 2025-12-04T09:33:41.9000713Z * [new tag] viable/strict/1762032190 -> viable/strict/1762032190 2025-12-04T09:33:41.9001878Z * [new tag] viable/strict/1762040981 -> viable/strict/1762040981 2025-12-04T09:33:41.9003550Z * [new tag] viable/strict/1762048525 -> viable/strict/1762048525 2025-12-04T09:33:41.9004599Z * [new tag] viable/strict/1762104223 -> viable/strict/1762104223 2025-12-04T09:33:41.9005752Z * [new tag] viable/strict/1762105778 -> viable/strict/1762105778 2025-12-04T09:33:41.9006862Z * [new tag] viable/strict/1762115109 -> viable/strict/1762115109 2025-12-04T09:33:41.9007973Z * [new tag] viable/strict/1762125840 -> viable/strict/1762125840 2025-12-04T09:33:41.9008905Z * [new tag] viable/strict/1762127377 -> viable/strict/1762127377 2025-12-04T09:33:41.9010539Z * [new tag] viable/strict/1762134925 -> viable/strict/1762134925 2025-12-04T09:33:41.9011477Z * [new tag] viable/strict/1762138338 -> viable/strict/1762138338 2025-12-04T09:33:41.9012630Z * [new tag] viable/strict/1762148993 -> viable/strict/1762148993 2025-12-04T09:33:41.9013756Z * [new tag] viable/strict/1762152871 -> viable/strict/1762152871 2025-12-04T09:33:41.9014885Z * [new tag] viable/strict/1762156183 -> viable/strict/1762156183 2025-12-04T09:33:41.9016018Z * [new tag] viable/strict/1762163457 -> viable/strict/1762163457 2025-12-04T09:33:41.9017111Z * [new tag] viable/strict/1762165569 -> viable/strict/1762165569 2025-12-04T09:33:41.9018195Z * [new tag] viable/strict/1762169035 -> viable/strict/1762169035 2025-12-04T09:33:41.9019301Z * [new tag] viable/strict/1762174936 -> viable/strict/1762174936 2025-12-04T09:33:41.9020426Z * [new tag] viable/strict/1762194412 -> viable/strict/1762194412 2025-12-04T09:33:41.9021557Z * [new tag] viable/strict/1762195876 -> viable/strict/1762195876 2025-12-04T09:33:41.9022649Z * [new tag] viable/strict/1762197788 -> viable/strict/1762197788 2025-12-04T09:33:41.9023804Z * [new tag] viable/strict/1762199389 -> viable/strict/1762199389 2025-12-04T09:33:41.9025255Z * [new tag] viable/strict/1762206585 -> viable/strict/1762206585 2025-12-04T09:33:41.9026401Z * [new tag] viable/strict/1762210184 -> viable/strict/1762210184 2025-12-04T09:33:41.9027343Z * [new tag] viable/strict/1762218736 -> viable/strict/1762218736 2025-12-04T09:33:41.9028573Z * [new tag] viable/strict/1762224529 -> viable/strict/1762224529 2025-12-04T09:33:41.9029851Z * [new tag] viable/strict/1762227253 -> viable/strict/1762227253 2025-12-04T09:33:41.9030766Z * [new tag] viable/strict/1762228515 -> viable/strict/1762228515 2025-12-04T09:33:41.9032009Z * [new tag] viable/strict/1762230349 -> viable/strict/1762230349 2025-12-04T09:33:41.9033113Z * [new tag] viable/strict/1762231859 -> viable/strict/1762231859 2025-12-04T09:33:41.9034242Z * [new tag] viable/strict/1762233925 -> viable/strict/1762233925 2025-12-04T09:33:41.9035784Z * [new tag] viable/strict/1762237630 -> viable/strict/1762237630 2025-12-04T09:33:41.9036745Z * [new tag] viable/strict/1762253522 -> viable/strict/1762253522 2025-12-04T09:33:41.9038116Z * [new tag] viable/strict/1762278588 -> viable/strict/1762278588 2025-12-04T09:33:41.9039133Z * [new tag] viable/strict/1762284203 -> viable/strict/1762284203 2025-12-04T09:33:41.9040303Z * [new tag] viable/strict/1762289446 -> viable/strict/1762289446 2025-12-04T09:33:41.9041412Z * [new tag] viable/strict/1762291515 -> viable/strict/1762291515 2025-12-04T09:33:41.9042550Z * [new tag] viable/strict/1762295100 -> viable/strict/1762295100 2025-12-04T09:33:41.9043525Z * [new tag] viable/strict/1762296590 -> viable/strict/1762296590 2025-12-04T09:33:41.9044492Z * [new tag] viable/strict/1762300179 -> viable/strict/1762300179 2025-12-04T09:33:41.9045462Z * [new tag] viable/strict/1762303207 -> viable/strict/1762303207 2025-12-04T09:33:41.9046568Z * [new tag] viable/strict/1762386584 -> viable/strict/1762386584 2025-12-04T09:33:41.9047724Z * [new tag] viable/strict/1762391537 -> viable/strict/1762391537 2025-12-04T09:33:41.9048692Z * [new tag] viable/strict/1762394119 -> viable/strict/1762394119 2025-12-04T09:33:41.9050300Z * [new tag] viable/strict/1762397437 -> viable/strict/1762397437 2025-12-04T09:33:41.9051324Z * [new tag] viable/strict/1762400256 -> viable/strict/1762400256 2025-12-04T09:33:41.9052434Z * [new tag] viable/strict/1762401469 -> viable/strict/1762401469 2025-12-04T09:33:41.9053672Z * [new tag] viable/strict/1762408195 -> viable/strict/1762408195 2025-12-04T09:33:41.9054830Z * [new tag] viable/strict/1762410411 -> viable/strict/1762410411 2025-12-04T09:33:41.9055948Z * [new tag] viable/strict/1762417613 -> viable/strict/1762417613 2025-12-04T09:33:41.9057045Z * [new tag] viable/strict/1762419198 -> viable/strict/1762419198 2025-12-04T09:33:41.9058185Z * [new tag] viable/strict/1762422656 -> viable/strict/1762422656 2025-12-04T09:33:41.9059874Z * [new tag] viable/strict/1762424746 -> viable/strict/1762424746 2025-12-04T09:33:41.9060980Z * [new tag] viable/strict/1762446386 -> viable/strict/1762446386 2025-12-04T09:33:41.9062097Z * [new tag] viable/strict/1762449912 -> viable/strict/1762449912 2025-12-04T09:33:41.9063207Z * [new tag] viable/strict/1762457031 -> viable/strict/1762457031 2025-12-04T09:33:41.9064380Z * [new tag] viable/strict/1762462441 -> viable/strict/1762462441 2025-12-04T09:33:41.9065755Z * [new tag] viable/strict/1762467909 -> viable/strict/1762467909 2025-12-04T09:33:41.9066852Z * [new tag] viable/strict/1762471493 -> viable/strict/1762471493 2025-12-04T09:33:41.9067987Z * [new tag] viable/strict/1762475990 -> viable/strict/1762475990 2025-12-04T09:33:41.9069201Z * [new tag] viable/strict/1762477933 -> viable/strict/1762477933 2025-12-04T09:33:41.9070380Z * [new tag] viable/strict/1762491053 -> viable/strict/1762491053 2025-12-04T09:33:41.9071582Z * [new tag] viable/strict/1762493118 -> viable/strict/1762493118 2025-12-04T09:33:41.9072604Z * [new tag] viable/strict/1762498442 -> viable/strict/1762498442 2025-12-04T09:33:41.9073710Z * [new tag] viable/strict/1762501778 -> viable/strict/1762501778 2025-12-04T09:33:41.9074883Z * [new tag] viable/strict/1762504001 -> viable/strict/1762504001 2025-12-04T09:33:41.9076381Z * [new tag] viable/strict/1762505583 -> viable/strict/1762505583 2025-12-04T09:33:41.9078058Z * [new tag] viable/strict/1762507523 -> viable/strict/1762507523 2025-12-04T09:33:41.9079176Z * [new tag] viable/strict/1762511140 -> viable/strict/1762511140 2025-12-04T09:33:41.9080561Z * [new tag] viable/strict/1762512632 -> viable/strict/1762512632 2025-12-04T09:33:41.9081671Z * [new tag] viable/strict/1762520467 -> viable/strict/1762520467 2025-12-04T09:33:41.9082804Z * [new tag] viable/strict/1762522016 -> viable/strict/1762522016 2025-12-04T09:33:41.9083880Z * [new tag] viable/strict/1762530591 -> viable/strict/1762530591 2025-12-04T09:33:41.9085028Z * [new tag] viable/strict/1762543405 -> viable/strict/1762543405 2025-12-04T09:33:41.9086042Z * [new tag] viable/strict/1762544998 -> viable/strict/1762544998 2025-12-04T09:33:41.9087142Z * [new tag] viable/strict/1762552182 -> viable/strict/1762552182 2025-12-04T09:33:41.9088258Z * [new tag] viable/strict/1762554297 -> viable/strict/1762554297 2025-12-04T09:33:41.9089253Z * [new tag] viable/strict/1762559381 -> viable/strict/1762559381 2025-12-04T09:33:41.9090405Z * [new tag] viable/strict/1762562222 -> viable/strict/1762562222 2025-12-04T09:33:41.9091518Z * [new tag] viable/strict/1762564319 -> viable/strict/1762564319 2025-12-04T09:33:41.9092477Z * [new tag] viable/strict/1762566904 -> viable/strict/1762566904 2025-12-04T09:33:41.9093615Z * [new tag] viable/strict/1762569781 -> viable/strict/1762569781 2025-12-04T09:33:41.9094733Z * [new tag] viable/strict/1762575940 -> viable/strict/1762575940 2025-12-04T09:33:41.9095958Z * [new tag] viable/strict/1762580974 -> viable/strict/1762580974 2025-12-04T09:33:41.9097118Z * [new tag] viable/strict/1762583185 -> viable/strict/1762583185 2025-12-04T09:33:41.9098225Z * [new tag] viable/strict/1762586647 -> viable/strict/1762586647 2025-12-04T09:33:41.9099354Z * [new tag] viable/strict/1762588183 -> viable/strict/1762588183 2025-12-04T09:33:41.9100571Z * [new tag] viable/strict/1762593886 -> viable/strict/1762593886 2025-12-04T09:33:41.9101949Z * [new tag] viable/strict/1762650743 -> viable/strict/1762650743 2025-12-04T09:33:41.9103157Z * [new tag] viable/strict/1762653328 -> viable/strict/1762653328 2025-12-04T09:33:41.9104269Z * [new tag] viable/strict/1762659342 -> viable/strict/1762659342 2025-12-04T09:33:41.9105399Z * [new tag] viable/strict/1762662360 -> viable/strict/1762662360 2025-12-04T09:33:41.9106496Z * [new tag] viable/strict/1762667377 -> viable/strict/1762667377 2025-12-04T09:33:41.9107724Z * [new tag] viable/strict/1762671090 -> viable/strict/1762671090 2025-12-04T09:33:41.9108831Z * [new tag] viable/strict/1762680284 -> viable/strict/1762680284 2025-12-04T09:33:41.9110016Z * [new tag] viable/strict/1762683900 -> viable/strict/1762683900 2025-12-04T09:33:41.9111152Z * [new tag] viable/strict/1762705541 -> viable/strict/1762705541 2025-12-04T09:33:41.9112269Z * [new tag] viable/strict/1762709004 -> viable/strict/1762709004 2025-12-04T09:33:41.9113541Z * [new tag] viable/strict/1762746004 -> viable/strict/1762746004 2025-12-04T09:33:41.9114675Z * [new tag] viable/strict/1762748799 -> viable/strict/1762748799 2025-12-04T09:33:41.9115863Z * [new tag] viable/strict/1762759504 -> viable/strict/1762759504 2025-12-04T09:33:41.9117199Z * [new tag] viable/strict/1762760973 -> viable/strict/1762760973 2025-12-04T09:33:41.9118333Z * [new tag] viable/strict/1762775374 -> viable/strict/1762775374 2025-12-04T09:33:41.9119435Z * [new tag] viable/strict/1762777661 -> viable/strict/1762777661 2025-12-04T09:33:41.9120549Z * [new tag] viable/strict/1762779774 -> viable/strict/1762779774 2025-12-04T09:33:41.9121889Z * [new tag] viable/strict/1762781259 -> viable/strict/1762781259 2025-12-04T09:33:41.9123096Z * [new tag] viable/strict/1762793628 -> viable/strict/1762793628 2025-12-04T09:33:41.9124322Z * [new tag] viable/strict/1762800711 -> viable/strict/1762800711 2025-12-04T09:33:41.9125448Z * [new tag] viable/strict/1762809894 -> viable/strict/1762809894 2025-12-04T09:33:41.9126590Z * [new tag] viable/strict/1762811384 -> viable/strict/1762811384 2025-12-04T09:33:41.9127782Z * [new tag] viable/strict/1762813841 -> viable/strict/1762813841 2025-12-04T09:33:41.9128941Z * [new tag] viable/strict/1762815047 -> viable/strict/1762815047 2025-12-04T09:33:41.9130272Z * [new tag] viable/strict/1762817094 -> viable/strict/1762817094 2025-12-04T09:33:41.9131405Z * [new tag] viable/strict/1762818582 -> viable/strict/1762818582 2025-12-04T09:33:41.9132551Z * [new tag] viable/strict/1762821623 -> viable/strict/1762821623 2025-12-04T09:33:41.9133429Z * [new tag] viable/strict/1762823531 -> viable/strict/1762823531 2025-12-04T09:33:41.9134777Z * [new tag] viable/strict/1762849583 -> viable/strict/1762849583 2025-12-04T09:33:41.9135902Z * [new tag] viable/strict/1762851200 -> viable/strict/1762851200 2025-12-04T09:33:41.9136993Z * [new tag] viable/strict/1762854603 -> viable/strict/1762854603 2025-12-04T09:33:41.9138170Z * [new tag] viable/strict/1762858276 -> viable/strict/1762858276 2025-12-04T09:33:41.9139355Z * [new tag] viable/strict/1762860891 -> viable/strict/1762860891 2025-12-04T09:33:41.9141302Z * [new tag] viable/strict/1762866174 -> viable/strict/1762866174 2025-12-04T09:33:41.9142382Z * [new tag] viable/strict/1762867653 -> viable/strict/1762867653 2025-12-04T09:33:41.9143522Z * [new tag] viable/strict/1762872669 -> viable/strict/1762872669 2025-12-04T09:33:41.9144402Z * [new tag] viable/strict/1762878380 -> viable/strict/1762878380 2025-12-04T09:33:41.9145655Z * [new tag] viable/strict/1762889003 -> viable/strict/1762889003 2025-12-04T09:33:41.9146805Z * [new tag] viable/strict/1762890589 -> viable/strict/1762890589 2025-12-04T09:33:41.9147929Z * [new tag] viable/strict/1762892743 -> viable/strict/1762892743 2025-12-04T09:33:41.9149130Z * [new tag] viable/strict/1762894271 -> viable/strict/1762894271 2025-12-04T09:33:41.9150131Z * [new tag] viable/strict/1762896287 -> viable/strict/1762896287 2025-12-04T09:33:41.9151237Z * [new tag] viable/strict/1762915871 -> viable/strict/1762915871 2025-12-04T09:33:41.9152892Z * [new tag] viable/strict/1762918569 -> viable/strict/1762918569 2025-12-04T09:33:41.9153869Z * [new tag] viable/strict/1762919776 -> viable/strict/1762919776 2025-12-04T09:33:41.9155071Z * [new tag] viable/strict/1762923072 -> viable/strict/1762923072 2025-12-04T09:33:41.9156361Z * [new tag] viable/strict/1762928826 -> viable/strict/1762928826 2025-12-04T09:33:41.9157616Z * [new tag] viable/strict/1762930451 -> viable/strict/1762930451 2025-12-04T09:33:41.9158732Z * [new tag] viable/strict/1762933780 -> viable/strict/1762933780 2025-12-04T09:33:41.9159924Z * [new tag] viable/strict/1762937638 -> viable/strict/1762937638 2025-12-04T09:33:41.9161283Z * [new tag] viable/strict/1762939545 -> viable/strict/1762939545 2025-12-04T09:33:41.9162427Z * [new tag] viable/strict/1762962692 -> viable/strict/1762962692 2025-12-04T09:33:41.9163560Z * [new tag] viable/strict/1762979143 -> viable/strict/1762979143 2025-12-04T09:33:41.9164682Z * [new tag] viable/strict/1762984188 -> viable/strict/1762984188 2025-12-04T09:33:41.9165668Z * [new tag] viable/strict/1762986306 -> viable/strict/1762986306 2025-12-04T09:33:41.9166845Z * [new tag] viable/strict/1762989903 -> viable/strict/1762989903 2025-12-04T09:33:41.9167968Z * [new tag] viable/strict/1762991377 -> viable/strict/1762991377 2025-12-04T09:33:41.9169110Z * [new tag] viable/strict/1762998921 -> viable/strict/1762998921 2025-12-04T09:33:41.9170356Z * [new tag] viable/strict/1763002287 -> viable/strict/1763002287 2025-12-04T09:33:41.9171841Z * [new tag] viable/strict/1763016840 -> viable/strict/1763016840 2025-12-04T09:33:41.9172987Z * [new tag] viable/strict/1763020180 -> viable/strict/1763020180 2025-12-04T09:33:41.9174280Z * [new tag] viable/strict/1763027421 -> viable/strict/1763027421 2025-12-04T09:33:41.9175391Z * [new tag] viable/strict/1763031120 -> viable/strict/1763031120 2025-12-04T09:33:41.9176567Z * [new tag] viable/strict/1763036861 -> viable/strict/1763036861 2025-12-04T09:33:41.9177763Z * [new tag] viable/strict/1763038993 -> viable/strict/1763038993 2025-12-04T09:33:41.9179089Z * [new tag] viable/strict/1763054703 -> viable/strict/1763054703 2025-12-04T09:33:41.9180082Z * [new tag] viable/strict/1763067061 -> viable/strict/1763067061 2025-12-04T09:33:41.9181197Z * [new tag] viable/strict/1763070847 -> viable/strict/1763070847 2025-12-04T09:33:41.9182350Z * [new tag] viable/strict/1763072706 -> viable/strict/1763072706 2025-12-04T09:33:41.9183596Z * [new tag] viable/strict/1763076302 -> viable/strict/1763076302 2025-12-04T09:33:41.9184759Z * [new tag] viable/strict/1763080816 -> viable/strict/1763080816 2025-12-04T09:33:41.9185881Z * [new tag] viable/strict/1763082732 -> viable/strict/1763082732 2025-12-04T09:33:41.9186991Z * [new tag] viable/strict/1763085329 -> viable/strict/1763085329 2025-12-04T09:33:41.9188135Z * [new tag] viable/strict/1763088623 -> viable/strict/1763088623 2025-12-04T09:33:41.9189381Z * [new tag] viable/strict/1763091402 -> viable/strict/1763091402 2025-12-04T09:33:41.9190608Z * [new tag] viable/strict/1763092602 -> viable/strict/1763092602 2025-12-04T09:33:41.9191793Z * [new tag] viable/strict/1763094355 -> viable/strict/1763094355 2025-12-04T09:33:41.9192930Z * [new tag] viable/strict/1763099390 -> viable/strict/1763099390 2025-12-04T09:33:41.9194079Z * [new tag] viable/strict/1763101608 -> viable/strict/1763101608 2025-12-04T09:33:41.9195231Z * [new tag] viable/strict/1763105102 -> viable/strict/1763105102 2025-12-04T09:33:41.9196649Z * [new tag] viable/strict/1763112347 -> viable/strict/1763112347 2025-12-04T09:33:41.9197778Z * [new tag] viable/strict/1763119471 -> viable/strict/1763119471 2025-12-04T09:33:41.9198874Z * [new tag] viable/strict/1763126835 -> viable/strict/1763126835 2025-12-04T09:33:41.9199698Z * [new tag] viable/strict/1763149779 -> viable/strict/1763149779 2025-12-04T09:33:41.9205160Z * [new tag] viable/strict/1763164178 -> viable/strict/1763164178 2025-12-04T09:33:41.9206484Z * [new tag] viable/strict/1763167104 -> viable/strict/1763167104 2025-12-04T09:33:41.9207622Z * [new tag] viable/strict/1763169132 -> viable/strict/1763169132 2025-12-04T09:33:41.9208829Z * [new tag] viable/strict/1763171708 -> viable/strict/1763171708 2025-12-04T09:33:41.9209973Z * [new tag] viable/strict/1763174759 -> viable/strict/1763174759 2025-12-04T09:33:41.9211185Z * [new tag] viable/strict/1763180744 -> viable/strict/1763180744 2025-12-04T09:33:41.9212322Z * [new tag] viable/strict/1763182227 -> viable/strict/1763182227 2025-12-04T09:33:41.9213435Z * [new tag] viable/strict/1763184309 -> viable/strict/1763184309 2025-12-04T09:33:41.9215274Z * [new tag] viable/strict/1763187991 -> viable/strict/1763187991 2025-12-04T09:33:41.9216437Z * [new tag] viable/strict/1763191445 -> viable/strict/1763191445 2025-12-04T09:33:41.9217721Z * [new tag] viable/strict/1763195152 -> viable/strict/1763195152 2025-12-04T09:33:41.9218594Z * [new tag] viable/strict/1763205769 -> viable/strict/1763205769 2025-12-04T09:33:41.9219926Z * [new tag] viable/strict/1763246990 -> viable/strict/1763246990 2025-12-04T09:33:41.9221231Z * [new tag] viable/strict/1763261578 -> viable/strict/1763261578 2025-12-04T09:33:41.9222288Z * [new tag] viable/strict/1763286573 -> viable/strict/1763286573 2025-12-04T09:33:41.9223279Z * [new tag] viable/strict/1763292167 -> viable/strict/1763292167 2025-12-04T09:33:41.9224485Z * [new tag] viable/strict/1763333386 -> viable/strict/1763333386 2025-12-04T09:33:41.9225585Z * [new tag] viable/strict/1763340082 -> viable/strict/1763340082 2025-12-04T09:33:41.9227556Z * [new tag] viable/strict/1763364324 -> viable/strict/1763364324 2025-12-04T09:33:41.9228705Z * [new tag] viable/strict/1763371569 -> viable/strict/1763371569 2025-12-04T09:33:41.9229869Z * [new tag] viable/strict/1763373067 -> viable/strict/1763373067 2025-12-04T09:33:41.9230957Z * [new tag] viable/strict/1763375157 -> viable/strict/1763375157 2025-12-04T09:33:41.9232114Z * [new tag] viable/strict/1763382462 -> viable/strict/1763382462 2025-12-04T09:33:41.9233813Z * [new tag] viable/strict/1763394661 -> viable/strict/1763394661 2025-12-04T09:33:41.9235217Z * [new tag] viable/strict/1763396797 -> viable/strict/1763396797 2025-12-04T09:33:41.9236521Z * [new tag] viable/strict/1763398542 -> viable/strict/1763398542 2025-12-04T09:33:41.9237685Z * [new tag] viable/strict/1763401807 -> viable/strict/1763401807 2025-12-04T09:33:41.9238699Z * [new tag] viable/strict/1763414698 -> viable/strict/1763414698 2025-12-04T09:33:41.9239876Z * [new tag] viable/strict/1763419807 -> viable/strict/1763419807 2025-12-04T09:33:41.9241023Z * [new tag] viable/strict/1763426369 -> viable/strict/1763426369 2025-12-04T09:33:41.9242177Z * [new tag] viable/strict/1763428331 -> viable/strict/1763428331 2025-12-04T09:33:41.9243362Z * [new tag] viable/strict/1763430922 -> viable/strict/1763430922 2025-12-04T09:33:41.9244397Z * [new tag] viable/strict/1763434184 -> viable/strict/1763434184 2025-12-04T09:33:41.9245466Z * [new tag] viable/strict/1763439973 -> viable/strict/1763439973 2025-12-04T09:33:41.9246799Z * [new tag] viable/strict/1763444995 -> viable/strict/1763444995 2025-12-04T09:33:41.9247826Z * [new tag] viable/strict/1763447206 -> viable/strict/1763447206 2025-12-04T09:33:41.9249045Z * [new tag] viable/strict/1763448826 -> viable/strict/1763448826 2025-12-04T09:33:41.9250177Z * [new tag] viable/strict/1763450717 -> viable/strict/1763450717 2025-12-04T09:33:41.9251352Z * [new tag] viable/strict/1763452183 -> viable/strict/1763452183 2025-12-04T09:33:41.9252578Z * [new tag] viable/strict/1763457945 -> viable/strict/1763457945 2025-12-04T09:33:41.9253699Z * [new tag] viable/strict/1763459439 -> viable/strict/1763459439 2025-12-04T09:33:41.9254689Z * [new tag] viable/strict/1763461556 -> viable/strict/1763461556 2025-12-04T09:33:41.9255842Z * [new tag] viable/strict/1763463103 -> viable/strict/1763463103 2025-12-04T09:33:41.9257018Z * [new tag] viable/strict/1763465100 -> viable/strict/1763465100 2025-12-04T09:33:41.9257911Z * [new tag] viable/strict/1763468866 -> viable/strict/1763468866 2025-12-04T09:33:41.9259108Z * [new tag] viable/strict/1763493823 -> viable/strict/1763493823 2025-12-04T09:33:41.9260033Z * [new tag] viable/strict/1763496249 -> viable/strict/1763496249 2025-12-04T09:33:41.9261264Z * [new tag] viable/strict/1763502620 -> viable/strict/1763502620 2025-12-04T09:33:41.9262568Z * [new tag] viable/strict/1763504715 -> viable/strict/1763504715 2025-12-04T09:33:41.9263714Z * [new tag] viable/strict/1763506208 -> viable/strict/1763506208 2025-12-04T09:33:41.9264860Z * [new tag] viable/strict/1763520590 -> viable/strict/1763520590 2025-12-04T09:33:41.9266045Z * [new tag] viable/strict/1763523357 -> viable/strict/1763523357 2025-12-04T09:33:41.9267236Z * [new tag] viable/strict/1763529922 -> viable/strict/1763529922 2025-12-04T09:33:41.9268522Z * [new tag] viable/strict/1763531408 -> viable/strict/1763531408 2025-12-04T09:33:41.9269649Z * [new tag] viable/strict/1763533622 -> viable/strict/1763533622 2025-12-04T09:33:41.9270812Z * [new tag] viable/strict/1763538576 -> viable/strict/1763538576 2025-12-04T09:33:41.9272055Z * [new tag] viable/strict/1763545823 -> viable/strict/1763545823 2025-12-04T09:33:41.9273077Z * [new tag] viable/strict/1763547951 -> viable/strict/1763547951 2025-12-04T09:33:41.9274325Z * [new tag] viable/strict/1763551477 -> viable/strict/1763551477 2025-12-04T09:33:41.9275458Z * [new tag] viable/strict/1763552982 -> viable/strict/1763552982 2025-12-04T09:33:41.9276786Z * [new tag] viable/strict/1763594698 -> viable/strict/1763594698 2025-12-04T09:33:41.9277931Z * [new tag] viable/strict/1763596178 -> viable/strict/1763596178 2025-12-04T09:33:41.9279099Z * [new tag] viable/strict/1763599155 -> viable/strict/1763599155 2025-12-04T09:33:41.9280205Z * [new tag] viable/strict/1763603717 -> viable/strict/1763603717 2025-12-04T09:33:41.9281371Z * [new tag] viable/strict/1763606923 -> viable/strict/1763606923 2025-12-04T09:33:41.9282552Z * [new tag] viable/strict/1763609715 -> viable/strict/1763609715 2025-12-04T09:33:41.9283655Z * [new tag] viable/strict/1763612757 -> viable/strict/1763612757 2025-12-04T09:33:41.9284798Z * [new tag] viable/strict/1763616325 -> viable/strict/1763616325 2025-12-04T09:33:41.9285949Z * [new tag] viable/strict/1763623509 -> viable/strict/1763623509 2025-12-04T09:33:41.9287286Z * [new tag] viable/strict/1763624984 -> viable/strict/1763624984 2025-12-04T09:33:41.9288484Z * [new tag] viable/strict/1763628796 -> viable/strict/1763628796 2025-12-04T09:33:41.9289545Z * [new tag] viable/strict/1763634343 -> viable/strict/1763634343 2025-12-04T09:33:41.9290617Z * [new tag] viable/strict/1763635867 -> viable/strict/1763635867 2025-12-04T09:33:41.9291911Z * [new tag] viable/strict/1763639382 -> viable/strict/1763639382 2025-12-04T09:33:41.9293078Z * [new tag] viable/strict/1763646626 -> viable/strict/1763646626 2025-12-04T09:33:41.9294345Z * [new tag] viable/strict/1763655997 -> viable/strict/1763655997 2025-12-04T09:33:41.9295512Z * [new tag] viable/strict/1763659444 -> viable/strict/1763659444 2025-12-04T09:33:41.9296752Z * [new tag] viable/strict/1763660992 -> viable/strict/1763660992 2025-12-04T09:33:41.9297834Z * [new tag] viable/strict/1763663201 -> viable/strict/1763663201 2025-12-04T09:33:41.9299032Z * [new tag] viable/strict/1763670362 -> viable/strict/1763670362 2025-12-04T09:33:41.9299887Z * [new tag] viable/strict/1763675378 -> viable/strict/1763675378 2025-12-04T09:33:41.9301298Z * [new tag] viable/strict/1763693343 -> viable/strict/1763693343 2025-12-04T09:33:41.9302390Z * [new tag] viable/strict/1763696088 -> viable/strict/1763696088 2025-12-04T09:33:41.9303759Z * [new tag] viable/strict/1763697343 -> viable/strict/1763697343 2025-12-04T09:33:41.9304900Z * [new tag] viable/strict/1763699165 -> viable/strict/1763699165 2025-12-04T09:33:41.9306046Z * [new tag] viable/strict/1763700660 -> viable/strict/1763700660 2025-12-04T09:33:41.9307147Z * [new tag] viable/strict/1763704209 -> viable/strict/1763704209 2025-12-04T09:33:41.9308767Z * [new tag] viable/strict/1763706411 -> viable/strict/1763706411 2025-12-04T09:33:41.9309885Z * [new tag] viable/strict/1763708082 -> viable/strict/1763708082 2025-12-04T09:33:41.9310909Z * [new tag] viable/strict/1763711381 -> viable/strict/1763711381 2025-12-04T09:33:41.9311938Z * [new tag] viable/strict/1763713593 -> viable/strict/1763713593 2025-12-04T09:33:41.9313084Z * [new tag] viable/strict/1763715201 -> viable/strict/1763715201 2025-12-04T09:33:41.9314177Z * [new tag] viable/strict/1763733017 -> viable/strict/1763733017 2025-12-04T09:33:41.9315358Z * [new tag] viable/strict/1763735108 -> viable/strict/1763735108 2025-12-04T09:33:41.9316566Z * [new tag] viable/strict/1763749579 -> viable/strict/1763749579 2025-12-04T09:33:41.9317734Z * [new tag] viable/strict/1763751113 -> viable/strict/1763751113 2025-12-04T09:33:41.9318879Z * [new tag] viable/strict/1763753035 -> viable/strict/1763753035 2025-12-04T09:33:41.9320108Z * [new tag] viable/strict/1763754578 -> viable/strict/1763754578 2025-12-04T09:33:41.9321242Z * [new tag] viable/strict/1763756748 -> viable/strict/1763756748 2025-12-04T09:33:41.9322327Z * [new tag] viable/strict/1763758205 -> viable/strict/1763758205 2025-12-04T09:33:41.9323217Z * [new tag] viable/strict/1763764050 -> viable/strict/1763764050 2025-12-04T09:33:41.9324416Z * [new tag] viable/strict/1763771887 -> viable/strict/1763771887 2025-12-04T09:33:41.9325780Z * [new tag] viable/strict/1763773920 -> viable/strict/1763773920 2025-12-04T09:33:41.9326869Z * [new tag] viable/strict/1763776501 -> viable/strict/1763776501 2025-12-04T09:33:41.9327992Z * [new tag] viable/strict/1763779437 -> viable/strict/1763779437 2025-12-04T09:33:41.9329426Z * [new tag] viable/strict/1763781038 -> viable/strict/1763781038 2025-12-04T09:33:41.9330604Z * [new tag] viable/strict/1763782245 -> viable/strict/1763782245 2025-12-04T09:33:41.9331611Z * [new tag] viable/strict/1763785568 -> viable/strict/1763785568 2025-12-04T09:33:41.9332779Z * [new tag] viable/strict/1763787006 -> viable/strict/1763787006 2025-12-04T09:33:41.9334115Z * [new tag] viable/strict/1763789103 -> viable/strict/1763789103 2025-12-04T09:33:41.9335268Z * [new tag] viable/strict/1763790578 -> viable/strict/1763790578 2025-12-04T09:33:41.9336367Z * [new tag] viable/strict/1763796275 -> viable/strict/1763796275 2025-12-04T09:33:41.9337799Z * [new tag] viable/strict/1763801465 -> viable/strict/1763801465 2025-12-04T09:33:41.9338888Z * [new tag] viable/strict/1763803522 -> viable/strict/1763803522 2025-12-04T09:33:41.9340013Z * [new tag] viable/strict/1763808581 -> viable/strict/1763808581 2025-12-04T09:33:41.9341101Z * [new tag] viable/strict/1763840977 -> viable/strict/1763840977 2025-12-04T09:33:41.9342217Z * [new tag] viable/strict/1763846659 -> viable/strict/1763846659 2025-12-04T09:33:41.9343333Z * [new tag] viable/strict/1763872065 -> viable/strict/1763872065 2025-12-04T09:33:41.9344599Z * [new tag] viable/strict/1763873648 -> viable/strict/1763873648 2025-12-04T09:33:41.9345736Z * [new tag] viable/strict/1763875506 -> viable/strict/1763875506 2025-12-04T09:33:41.9346596Z * [new tag] viable/strict/1763889904 -> viable/strict/1763889904 2025-12-04T09:33:41.9347826Z * [new tag] viable/strict/1763930999 -> viable/strict/1763930999 2025-12-04T09:33:41.9349018Z * [new tag] viable/strict/1763944964 -> viable/strict/1763944964 2025-12-04T09:33:41.9349816Z * [new tag] viable/strict/1763958474 -> viable/strict/1763958474 2025-12-04T09:33:41.9351035Z * [new tag] viable/strict/1763967263 -> viable/strict/1763967263 2025-12-04T09:33:41.9352206Z * [new tag] viable/strict/1763972803 -> viable/strict/1763972803 2025-12-04T09:33:41.9353329Z * [new tag] viable/strict/1763976376 -> viable/strict/1763976376 2025-12-04T09:33:41.9354430Z * [new tag] viable/strict/1763989404 -> viable/strict/1763989404 2025-12-04T09:33:41.9355519Z * [new tag] viable/strict/1763990887 -> viable/strict/1763990887 2025-12-04T09:33:41.9356749Z * [new tag] viable/strict/1764019919 -> viable/strict/1764019919 2025-12-04T09:33:41.9357986Z * [new tag] viable/strict/1764023134 -> viable/strict/1764023134 2025-12-04T09:33:41.9358832Z * [new tag] viable/strict/1764024593 -> viable/strict/1764024593 2025-12-04T09:33:41.9360053Z * [new tag] viable/strict/1764026706 -> viable/strict/1764026706 2025-12-04T09:33:41.9361480Z * [new tag] viable/strict/1764031139 -> viable/strict/1764031139 2025-12-04T09:33:41.9362629Z * [new tag] viable/strict/1764033131 -> viable/strict/1764033131 2025-12-04T09:33:41.9363498Z * [new tag] viable/strict/1764035725 -> viable/strict/1764035725 2025-12-04T09:33:41.9364541Z * [new tag] viable/strict/1764624265 -> viable/strict/1764624265 2025-12-04T09:33:41.9365538Z * [new tag] viable/strict/1764631514 -> viable/strict/1764631514 2025-12-04T09:33:41.9366389Z * [new tag] viable/strict/1764632987 -> viable/strict/1764632987 2025-12-04T09:33:41.9367410Z * [new tag] viable/strict/1764636063 -> viable/strict/1764636063 2025-12-04T09:33:41.9368289Z * [new tag] viable/strict/1764643975 -> viable/strict/1764643975 2025-12-04T09:33:41.9369407Z * [new tag] viable/strict/1764646859 -> viable/strict/1764646859 2025-12-04T09:33:41.9370327Z * [new tag] viable/strict/1764653120 -> viable/strict/1764653120 2025-12-04T09:33:41.9371218Z * [new tag] viable/strict/1764654632 -> viable/strict/1764654632 2025-12-04T09:33:41.9372256Z * [new tag] viable/strict/1764656821 -> viable/strict/1764656821 2025-12-04T09:33:41.9373108Z * [new tag] viable/strict/1764658557 -> viable/strict/1764658557 2025-12-04T09:33:41.9374139Z * [new tag] viable/strict/1764660333 -> viable/strict/1764660333 2025-12-04T09:33:41.9375012Z * [new tag] viable/strict/1764661812 -> viable/strict/1764661812 2025-12-04T09:33:41.9375990Z * [new tag] viable/strict/1764664023 -> viable/strict/1764664023 2025-12-04T09:33:41.9376842Z * [new tag] viable/strict/1764669150 -> viable/strict/1764669150 2025-12-04T09:33:41.9377905Z * [new tag] viable/strict/1764680709 -> viable/strict/1764680709 2025-12-04T09:33:41.9379261Z * [new tag] viable/strict/1764687619 -> viable/strict/1764687619 2025-12-04T09:33:41.9380128Z * [new tag] viable/strict/1764696355 -> viable/strict/1764696355 2025-12-04T09:33:41.9381160Z * [new tag] viable/strict/1764701767 -> viable/strict/1764701767 2025-12-04T09:33:41.9382034Z * [new tag] viable/strict/1764710768 -> viable/strict/1764710768 2025-12-04T09:33:41.9383038Z * [new tag] viable/strict/1764716202 -> viable/strict/1764716202 2025-12-04T09:33:41.9383889Z * [new tag] viable/strict/1764793566 -> viable/strict/1764793566 2025-12-04T09:33:41.9384944Z * [new tag] viable/strict/1764797093 -> viable/strict/1764797093 2025-12-04T09:33:41.9385783Z * [new tag] viable/strict/1764800729 -> viable/strict/1764800729 2025-12-04T09:33:41.9387093Z * [new tag] whc_flight_1 -> whc_flight_1 2025-12-04T09:33:41.9388315Z * [new tag] whc_flight_2 -> whc_flight_2 2025-12-04T09:33:41.9389679Z * [new tag] whc_flight_4 -> whc_flight_4 2025-12-04T09:33:42.0236872Z [command]/usr/bin/git rev-parse --verify --quiet ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32^{object} 2025-12-04T09:33:42.0264709Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:33:42.0277314Z ##[endgroup] 2025-12-04T09:33:42.0277719Z ##[group]Determining the checkout info 2025-12-04T09:33:42.0278023Z ##[endgroup] 2025-12-04T09:33:42.0278208Z [command]/usr/bin/git sparse-checkout disable 2025-12-04T09:33:42.0307700Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-12-04T09:33:42.0334108Z ##[group]Checking out the ref 2025-12-04T09:33:42.0337592Z [command]/usr/bin/git checkout --progress --force ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:33:43.0803881Z Updating files: 75% (15203/20121) 2025-12-04T09:33:43.0963238Z Updating files: 76% (15292/20121) 2025-12-04T09:33:43.1106457Z Updating files: 77% (15494/20121) 2025-12-04T09:33:43.1333919Z 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You can look around, make experimental 2025-12-04T09:33:43.5949420Z changes and commit them, and you can discard any commits you make in this 2025-12-04T09:33:43.5950064Z state without impacting any branches by switching back to a branch. 2025-12-04T09:33:43.5950455Z 2025-12-04T09:33:43.5950710Z If you want to create a new branch to retain commits you create, you may 2025-12-04T09:33:43.5951309Z do so (now or later) by using -c with the switch command. Example: 2025-12-04T09:33:43.5951646Z 2025-12-04T09:33:43.5951984Z git switch -c 2025-12-04T09:33:43.5952232Z 2025-12-04T09:33:43.5952359Z Or undo this operation with: 2025-12-04T09:33:43.5952567Z 2025-12-04T09:33:43.5952682Z git switch - 2025-12-04T09:33:43.5952833Z 2025-12-04T09:33:43.5953117Z Turn off this advice by setting config variable advice.detachedHead to false 2025-12-04T09:33:43.5953524Z 2025-12-04T09:33:43.5953838Z HEAD is now at ffd9b0fb435 Resolve collective autotuning test failure on arm (#168919) 2025-12-04T09:33:43.6039397Z ##[endgroup] 2025-12-04T09:33:43.6039885Z ##[group]Setting up auth for fetching submodules 2025-12-04T09:33:43.6046577Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-12-04T09:33:43.6102491Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-12-04T09:33:43.6131789Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-12-04T09:33:43.6159981Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-12-04T09:33:43.6184544Z ##[endgroup] 2025-12-04T09:33:43.6184987Z ##[group]Fetching submodules 2025-12-04T09:33:43.6188921Z [command]/usr/bin/git submodule sync --recursive 2025-12-04T09:33:43.6529735Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-12-04T09:33:43.6874867Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-12-04T09:33:43.6878295Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-12-04T09:33:43.6883068Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-12-04T09:33:43.6887870Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-12-04T09:33:43.6892990Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-12-04T09:33:43.6898749Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-12-04T09:33:43.6904183Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-12-04T09:33:43.6909911Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-12-04T09:33:43.6915955Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-12-04T09:33:43.6922610Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-12-04T09:33:43.6927253Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-12-04T09:33:43.6931182Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-12-04T09:33:43.6935902Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-12-04T09:33:43.6939919Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-12-04T09:33:43.6944100Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-12-04T09:33:43.6948573Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-12-04T09:33:43.6954613Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-12-04T09:33:43.6959315Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-12-04T09:33:43.6964159Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-12-04T09:33:43.6968723Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-12-04T09:33:43.6973718Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-12-04T09:33:43.6978586Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-12-04T09:33:43.6983725Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-12-04T09:33:43.6988901Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-12-04T09:33:43.6994227Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-12-04T09:33:43.6999729Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-12-04T09:33:43.7006145Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-12-04T09:33:43.7011635Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-12-04T09:33:43.7017604Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-12-04T09:33:43.7023186Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-12-04T09:33:43.7029126Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-12-04T09:33:43.7035125Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-12-04T09:33:43.7041648Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-12-04T09:33:43.7049677Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-12-04T09:33:43.7055672Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-12-04T09:33:43.7061996Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-12-04T09:33:43.7069217Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-12-04T09:33:43.7102578Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-12-04T09:33:43.9296440Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-12-04T09:33:43.9297369Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-12-04T09:33:43.9325183Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2025-12-04T09:33:47.7055632Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-12-04T09:33:47.7057723Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-12-04T09:33:47.7059703Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2025-12-04T09:33:47.7061605Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-12-04T09:33:47.7063564Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-12-04T09:33:47.7065559Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-12-04T09:33:47.7067426Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-12-04T09:33:47.7069616Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-12-04T09:33:47.7075672Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2025-12-04T09:33:47.7077457Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-12-04T09:33:47.7079314Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-12-04T09:33:47.7081049Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-12-04T09:33:47.7082960Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-12-04T09:33:47.7084745Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-12-04T09:33:47.7086598Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2025-12-04T09:33:47.7088444Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-12-04T09:33:47.7093677Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-12-04T09:33:47.7173649Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-12-04T09:33:47.9854759Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-12-04T09:33:48.0856546Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-12-04T09:33:51.7499042Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-12-04T09:33:51.7501302Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-12-04T09:33:51.7503382Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-12-04T09:33:51.7505368Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-12-04T09:33:51.7611978Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-12-04T09:33:51.7613640Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-12-04T09:33:51.7615229Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-12-04T09:33:51.8501025Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-12-04T09:34:08.1327429Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-12-04T09:34:08.1329569Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-12-04T09:34:08.2328591Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-12-04T09:34:13.5180301Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-12-04T09:34:13.5181259Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-12-04T09:34:13.5363979Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-12-04T09:34:13.5508019Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-12-04T09:34:13.5618477Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-12-04T09:34:13.5912259Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-12-04T09:34:13.6879032Z Submodule path 'third_party/NVTX': checked out '3ebbc93ded7285963bff932c678fa367eb393ba6' 2025-12-04T09:34:13.7521894Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-12-04T09:34:14.6027551Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-12-04T09:34:14.8211542Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-12-04T09:34:14.8234502Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T09:34:14.8264381Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-12-04T09:34:19.9948480Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-12-04T09:34:20.0226040Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-12-04T09:34:20.4336964Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-12-04T09:34:20.4922378Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-12-04T09:34:20.6043286Z Submodule path 'third_party/cpuinfo': checked out 'f858c30bcb16f8effd5ff46996f0514539e17abc' 2025-12-04T09:34:20.6602927Z Submodule path 'third_party/cudnn_frontend': checked out '0b1577c8c83401237d601d0d0db5210506705396' 2025-12-04T09:34:21.4089844Z Submodule path 'third_party/cutlass': checked out 'f88806b1e31dfa579842638740216dd41fc6c588' 2025-12-04T09:34:21.5885429Z Submodule path 'third_party/fbgemm': checked out 'c0b988d39a9e47c794d699f29930ed4d7c7e13a4' 2025-12-04T09:34:21.5910881Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-12-04T09:34:21.5913541Z Submodule 'external/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-12-04T09:34:21.5916490Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-12-04T09:34:21.5919688Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-12-04T09:34:21.5923001Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-12-04T09:34:21.5926485Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-12-04T09:34:21.5929806Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-12-04T09:34:21.5962308Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-12-04T09:34:22.9345116Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-12-04T09:34:22.9346470Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-12-04T09:34:22.9347509Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-12-04T09:34:23.0345344Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-12-04T09:34:26.7334741Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-12-04T09:34:26.8335868Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-12-04T09:34:29.9798157Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-12-04T09:34:30.3893111Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-12-04T09:34:30.5054154Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-12-04T09:34:31.2348082Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '98125ce499b0fdf7ffbe0e3052f5b8709f4840f8' 2025-12-04T09:34:31.2881351Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T09:34:31.3020546Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-12-04T09:34:31.4259072Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-12-04T09:34:31.5071516Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-12-04T09:34:31.5094195Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T09:34:31.5097045Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-12-04T09:34:31.5127549Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-12-04T09:34:36.3214928Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-12-04T09:34:36.6038144Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-12-04T09:34:37.2508934Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-12-04T09:34:37.4129720Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-12-04T09:34:37.4473791Z Submodule path 'third_party/fmt': checked out '407c905e45ad75fc29bf0f9bb7c5c2fd3475976f' 2025-12-04T09:34:37.4938529Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-12-04T09:34:37.5237358Z Submodule path 'third_party/gloo': checked out '54cbae0d3a67fa890b4c3d9ee162b7860315e341' 2025-12-04T09:34:37.5760472Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T09:34:37.5911454Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-12-04T09:34:37.5930480Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-12-04T09:34:37.5959058Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-12-04T09:34:54.0763106Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-12-04T09:34:54.0998657Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-12-04T09:34:54.1983945Z Submodule path 'third_party/kineto': checked out '31f85df8fbd89c188f14ef10f1ec65379786b943' 2025-12-04T09:34:54.2004582Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T09:34:54.2007322Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T09:34:54.2010497Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T09:34:54.2042471Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-12-04T09:34:55.2684889Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-12-04T09:34:55.8769577Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-12-04T09:34:55.9805851Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out 'd2ffe0a4e3acace628db49974246b66fc3e85fb1' 2025-12-04T09:34:55.9825391Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T09:34:55.9828441Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T09:34:55.9831572Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T09:34:55.9834863Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T09:34:55.9838466Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T09:34:55.9841902Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T09:34:55.9845551Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T09:34:55.9849536Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T09:34:55.9853594Z 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' 2025-12-04T09:34:55.9886939Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-12-04T09:34:58.0251296Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-12-04T09:34:58.0252756Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'... 2025-12-04T09:34:58.0254220Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-12-04T09:34:58.0256947Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-12-04T09:34:58.0258292Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-12-04T09:34:58.0259668Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-12-04T09:34:58.0261238Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-12-04T09:34:58.1252254Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-12-04T09:35:04.5958143Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-12-04T09:35:04.6170760Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-12-04T09:35:04.6592447Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-12-04T09:35:04.6753195Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-12-04T09:35:04.6771237Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 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(https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T09:35:09.5300393Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T09:35:09.5303457Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T09:35:09.5306728Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T09:35:09.5310175Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T09:35:09.5313559Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T09:35:09.5317133Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T09:35:09.5320480Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T09:35:09.5352397Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'... 2025-12-04T09:35:09.9775762Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'... 2025-12-04T09:35:09.9777930Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'... 2025-12-04T09:35:09.9780246Z Cloning into 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'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T09:35:26.7133024Z [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" 2025-12-04T09:35:26.7467076Z Entering 'android/libs/fbjni' 2025-12-04T09:35:26.7526243Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-12-04T09:35:26.7544408Z Entering 'third_party/FP16' 2025-12-04T09:35:26.7603061Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-12-04T09:35:26.7621790Z Entering 'third_party/FXdiv' 2025-12-04T09:35:26.7679057Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-12-04T09:35:26.7696533Z Entering 'third_party/NNPACK' 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2025-12-04T09:35:27.6784060Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T09:35:27.6831662Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T09:35:27.6877581Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T09:35:27.6926642Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T09:35:27.6973642Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T09:35:27.7024043Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T09:35:27.7071361Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T09:35:27.7117107Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T09:35:27.7161696Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:35:27.7211415Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:35:27.7262184Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T09:35:27.7315484Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T09:35:27.7364724Z Entering 'third_party/kleidiai' 2025-12-04T09:35:27.7416341Z Entering 'third_party/mimalloc' 2025-12-04T09:35:27.7464588Z Entering 'third_party/nlohmann' 2025-12-04T09:35:27.7514929Z Entering 'third_party/onnx' 2025-12-04T09:35:27.7584246Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T09:35:27.7634790Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T09:35:27.7685252Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T09:35:27.7731842Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T09:35:27.7779473Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T09:35:27.7825804Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T09:35:27.7872827Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T09:35:27.7919285Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T09:35:27.7965134Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T09:35:27.8010142Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:35:27.8060782Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:35:27.8110267Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T09:35:27.8180417Z Entering 'third_party/pocketfft' 2025-12-04T09:35:27.8229576Z Entering 'third_party/protobuf' 2025-12-04T09:35:27.8282334Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T09:35:27.8329613Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T09:35:27.8378594Z Entering 'third_party/psimd' 2025-12-04T09:35:27.8426346Z Entering 'third_party/pthreadpool' 2025-12-04T09:35:27.8473411Z Entering 'third_party/pybind11' 2025-12-04T09:35:27.8520794Z Entering 'third_party/python-peachpy' 2025-12-04T09:35:27.8569135Z Entering 'third_party/sleef' 2025-12-04T09:35:27.8618519Z Entering 'third_party/tensorpipe' 2025-12-04T09:35:27.8665724Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T09:35:27.8712328Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T09:35:27.8757910Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T09:35:27.8804483Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T09:35:27.8848850Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T09:35:27.8919860Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-12-04T09:35:27.9268300Z Entering 'android/libs/fbjni' 2025-12-04T09:35:27.9317250Z Entering 'third_party/FP16' 2025-12-04T09:35:27.9364417Z Entering 'third_party/FXdiv' 2025-12-04T09:35:27.9413397Z Entering 'third_party/NNPACK' 2025-12-04T09:35:27.9465965Z Entering 'third_party/NVTX' 2025-12-04T09:35:27.9514756Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T09:35:27.9563077Z Entering 'third_party/XNNPACK' 2025-12-04T09:35:27.9627325Z Entering 'third_party/aiter' 2025-12-04T09:35:27.9675630Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T09:35:27.9733088Z Entering 'third_party/benchmark' 2025-12-04T09:35:27.9780254Z Entering 'third_party/composable_kernel' 2025-12-04T09:35:27.9838279Z Entering 'third_party/cpp-httplib' 2025-12-04T09:35:27.9886291Z Entering 'third_party/cpuinfo' 2025-12-04T09:35:27.9935179Z Entering 'third_party/cudnn_frontend' 2025-12-04T09:35:27.9982919Z Entering 'third_party/cutlass' 2025-12-04T09:35:28.0040803Z Entering 'third_party/fbgemm' 2025-12-04T09:35:28.0090763Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T09:35:28.0136830Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T09:35:28.0192411Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T09:35:28.0238425Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T09:35:28.0293381Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T09:35:28.0339002Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T09:35:28.0384382Z Entering 'third_party/fbgemm/external/json' 2025-12-04T09:35:28.0433995Z Entering 'third_party/flash-attention' 2025-12-04T09:35:28.0481895Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T09:35:28.0537978Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T09:35:28.0594383Z Entering 'third_party/flatbuffers' 2025-12-04T09:35:28.0644898Z Entering 'third_party/fmt' 2025-12-04T09:35:28.0691964Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T09:35:28.0739193Z Entering 'third_party/gloo' 2025-12-04T09:35:28.0787567Z Entering 'third_party/googletest' 2025-12-04T09:35:28.0835877Z Entering 'third_party/ideep' 2025-12-04T09:35:28.0882281Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T09:35:28.0936002Z Entering 'third_party/ittapi' 2025-12-04T09:35:28.0983289Z Entering 'third_party/kineto' 2025-12-04T09:35:28.1033511Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T09:35:28.1080238Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T09:35:28.1128554Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T09:35:28.1175013Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T09:35:28.1221941Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T09:35:28.1269158Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T09:35:28.1318416Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T09:35:28.1365108Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T09:35:28.1413019Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T09:35:28.1460744Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T09:35:28.1507494Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T09:35:28.1554088Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:35:28.1603558Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:35:28.1654446Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T09:35:28.1701025Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T09:35:28.1749453Z Entering 'third_party/kleidiai' 2025-12-04T09:35:28.1801626Z Entering 'third_party/mimalloc' 2025-12-04T09:35:28.1849483Z Entering 'third_party/nlohmann' 2025-12-04T09:35:28.1898656Z Entering 'third_party/onnx' 2025-12-04T09:35:28.1965997Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T09:35:28.2016806Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T09:35:28.2067299Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T09:35:28.2113342Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T09:35:28.2159371Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T09:35:28.2204882Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T09:35:28.2251640Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T09:35:28.2297121Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T09:35:28.2342874Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T09:35:28.2388867Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:35:28.2436910Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:35:28.2486447Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T09:35:28.2555687Z Entering 'third_party/pocketfft' 2025-12-04T09:35:28.2605180Z Entering 'third_party/protobuf' 2025-12-04T09:35:28.2656267Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T09:35:28.2701447Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T09:35:28.2750967Z Entering 'third_party/psimd' 2025-12-04T09:35:28.2798868Z Entering 'third_party/pthreadpool' 2025-12-04T09:35:28.2847605Z Entering 'third_party/pybind11' 2025-12-04T09:35:28.2894897Z Entering 'third_party/python-peachpy' 2025-12-04T09:35:28.2943396Z Entering 'third_party/sleef' 2025-12-04T09:35:28.2991399Z Entering 'third_party/tensorpipe' 2025-12-04T09:35:28.3038032Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T09:35:28.3083614Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T09:35:28.3129355Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T09:35:28.3174827Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T09:35:28.3219232Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T09:35:28.3279582Z ##[endgroup] 2025-12-04T09:35:28.3318045Z [command]/usr/bin/git log -1 --format=%H 2025-12-04T09:35:28.3342971Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:35:28.3448840Z ##[group]Run cd "${GITHUB_WORKSPACE}" 2025-12-04T09:35:28.3449253Z cd "${GITHUB_WORKSPACE}" 2025-12-04T09:35:28.3449777Z # Clean stale submodule dirs 2025-12-04T09:35:28.3450150Z if [ -z "${NO_SUDO}" ]; then 2025-12-04T09:35:28.3450603Z  sudo git submodule foreach --recursive git clean -ffdx 2025-12-04T09:35:28.3451042Z else 2025-12-04T09:35:28.3451392Z  git submodule foreach --recursive git clean -ffdx 2025-12-04T09:35:28.3451831Z fi 2025-12-04T09:35:28.3459728Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:35:28.3460176Z env: 2025-12-04T09:35:28.3460421Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:35:28.3460713Z NO_SUDO: true 2025-12-04T09:35:28.3460965Z ##[endgroup] 2025-12-04T09:35:28.3838676Z Entering 'android/libs/fbjni' 2025-12-04T09:35:28.3876810Z Entering 'third_party/FP16' 2025-12-04T09:35:28.3912399Z Entering 'third_party/FXdiv' 2025-12-04T09:35:28.3948841Z Entering 'third_party/NNPACK' 2025-12-04T09:35:28.3988045Z Entering 'third_party/NVTX' 2025-12-04T09:35:28.4032269Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T09:35:28.4070846Z Entering 'third_party/XNNPACK' 2025-12-04T09:35:28.4230593Z Entering 'third_party/aiter' 2025-12-04T09:35:28.4280537Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T09:35:28.4405805Z Entering 'third_party/benchmark' 2025-12-04T09:35:28.4444084Z Entering 'third_party/composable_kernel' 2025-12-04T09:35:28.4577785Z Entering 'third_party/cpp-httplib' 2025-12-04T09:35:28.4618157Z Entering 'third_party/cpuinfo' 2025-12-04T09:35:28.4659533Z Entering 'third_party/cudnn_frontend' 2025-12-04T09:35:28.4699978Z Entering 'third_party/cutlass' 2025-12-04T09:35:28.4814817Z Entering 'third_party/fbgemm' 2025-12-04T09:35:28.4884111Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T09:35:28.4919958Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T09:35:28.5059747Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T09:35:28.5100393Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T09:35:28.5213299Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T09:35:28.5249781Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T09:35:28.5282204Z Entering 'third_party/fbgemm/external/json' 2025-12-04T09:35:28.5334449Z Entering 'third_party/flash-attention' 2025-12-04T09:35:28.5380324Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T09:35:28.5489235Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T09:35:28.5593050Z Entering 'third_party/flatbuffers' 2025-12-04T09:35:28.5672725Z Entering 'third_party/fmt' 2025-12-04T09:35:28.5709346Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T09:35:28.5747146Z Entering 'third_party/gloo' 2025-12-04T09:35:28.5786033Z Entering 'third_party/googletest' 2025-12-04T09:35:28.5826131Z Entering 'third_party/ideep' 2025-12-04T09:35:28.5859749Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T09:35:28.5955944Z Entering 'third_party/ittapi' 2025-12-04T09:35:28.5993273Z Entering 'third_party/kineto' 2025-12-04T09:35:28.6033053Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T09:35:28.6073752Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T09:35:28.6125780Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T09:35:28.6160749Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T09:35:28.6197284Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T09:35:28.6234584Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T09:35:28.6268757Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T09:35:28.6304655Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T09:35:28.6342957Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T09:35:28.6388474Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T09:35:28.6423404Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T09:35:28.6460797Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:35:28.6515260Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:35:28.6555975Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T09:35:28.6592378Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T09:35:28.6631375Z Entering 'third_party/kleidiai' 2025-12-04T09:35:28.6675101Z Entering 'third_party/mimalloc' 2025-12-04T09:35:28.6712150Z Entering 'third_party/nlohmann' 2025-12-04T09:35:28.6763129Z Entering 'third_party/onnx' 2025-12-04T09:35:28.7132313Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T09:35:28.7175650Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T09:35:28.7238727Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T09:35:28.7273833Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T09:35:28.7310852Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T09:35:28.7343317Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T09:35:28.7391332Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T09:35:28.7427073Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T09:35:28.7462942Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T09:35:28.7499031Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:35:28.7552502Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:35:28.7593021Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T09:35:28.7899851Z Entering 'third_party/pocketfft' 2025-12-04T09:35:28.7935483Z Entering 'third_party/protobuf' 2025-12-04T09:35:28.8047370Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T09:35:28.8081517Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T09:35:28.8123174Z Entering 'third_party/psimd' 2025-12-04T09:35:28.8158462Z Entering 'third_party/pthreadpool' 2025-12-04T09:35:28.8196208Z Entering 'third_party/pybind11' 2025-12-04T09:35:28.8237023Z Entering 'third_party/python-peachpy' 2025-12-04T09:35:28.8274104Z Entering 'third_party/sleef' 2025-12-04T09:35:28.8312642Z Entering 'third_party/tensorpipe' 2025-12-04T09:35:28.8351476Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T09:35:28.8392110Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T09:35:28.8425949Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T09:35:28.8465354Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T09:35:28.8500958Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T09:35:28.8676507Z Prepare all required actions 2025-12-04T09:35:28.8677126Z Getting action download info 2025-12-04T09:35:29.0263364Z ##[group]Run ./.github/actions/setup-linux 2025-12-04T09:35:29.0263738Z env: 2025-12-04T09:35:29.0263990Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:35:29.0264279Z ##[endgroup] 2025-12-04T09:35:29.0307692Z ##[group]Run set -euo pipefail 2025-12-04T09:35:29.0308117Z set -euo pipefail 2025-12-04T09:35:29.0308458Z function get_ec2_metadata() { 2025-12-04T09:35:29.0308898Z  # Pulled from instance metadata endpoint for EC2 2025-12-04T09:35:29.0309627Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-12-04T09:35:29.0310291Z  category=$1 2025-12-04T09:35:29.0310707Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-12-04T09:35:29.0311202Z  runner_name_str=i-0081c2223e23d2b92 2025-12-04T09:35:29.0311644Z  if [[ -f /.inarc ]]; then 2025-12-04T09:35:29.0312033Z  echo "ARC Runner, no info on ec2 metadata" 2025-12-04T09:35:29.0312484Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-12-04T09:35:29.0313032Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-12-04T09:35:29.0313531Z  else 2025-12-04T09:35:29.0314534Z  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}" 2025-12-04T09:35:29.0315721Z  fi 2025-12-04T09:35:29.0315964Z } 2025-12-04T09:35:29.0316265Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-12-04T09:35:29.0316753Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-12-04T09:35:29.0317313Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-12-04T09:35:29.0317799Z echo "system info $(uname -a)" 2025-12-04T09:35:29.0324642Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:35:29.0325087Z env: 2025-12-04T09:35:29.0325332Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:35:29.0325618Z ##[endgroup] 2025-12-04T09:35:29.0502949Z ami-id: ami-08982f1c5bf93d976 2025-12-04T09:35:29.0617571Z instance-id: i-0081c2223e23d2b92 2025-12-04T09:35:29.0729550Z instance-type: g4dn.4xlarge 2025-12-04T09:35:29.0742114Z system info Linux ip-10-0-10-129.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 2025-12-04T09:35:29.0764799Z ##[group]Run if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi 2025-12-04T09:35:29.0765373Z if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi 2025-12-04T09:35:29.0772736Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:35:29.0773181Z env: 2025-12-04T09:35:29.0773420Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:35:29.0773728Z ##[endgroup] 2025-12-04T09:35:30.4299414Z Thu Dec 4 09:35:30 2025 2025-12-04T09:35:30.4300708Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:35:30.4301355Z | NVIDIA-SMI 580.82.07 Driver Version: 580.82.07 CUDA Version: 13.0 | 2025-12-04T09:35:30.4301966Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:35:30.4302612Z | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-12-04T09:35:30.4303293Z | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | 2025-12-04T09:35:30.4303841Z | | | MIG M. | 2025-12-04T09:35:30.4304253Z |=========================================+========================+======================| 2025-12-04T09:35:30.4399524Z | 0 Tesla T4 Off | 00000000:00:1E.0 Off | 0 | 2025-12-04T09:35:30.4400505Z | N/A 34C P0 26W / 70W | 0MiB / 15360MiB | 9% Default | 2025-12-04T09:35:30.4401002Z | | | N/A | 2025-12-04T09:35:30.4401512Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:35:30.4401886Z 2025-12-04T09:35:30.4402106Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:35:30.4402654Z | Processes: | 2025-12-04T09:35:30.4403213Z | GPU GI CI PID Type Process name GPU Memory | 2025-12-04T09:35:30.4403725Z | ID ID Usage | 2025-12-04T09:35:30.4404165Z |=========================================================================================| 2025-12-04T09:35:30.4404705Z | No running processes found | 2025-12-04T09:35:30.4405305Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:35:30.8540635Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:35:30.8541770Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:35:30.8551118Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:35:30.8551564Z env: 2025-12-04T09:35:30.8551803Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:35:30.8552112Z ##[endgroup] 2025-12-04T09:35:30.8672855Z ##[group]Run if systemctl is-active --quiet docker; then 2025-12-04T09:35:30.8673385Z if systemctl is-active --quiet docker; then 2025-12-04T09:35:30.8673841Z  echo "Docker daemon is running..."; 2025-12-04T09:35:30.8674243Z else 2025-12-04T09:35:30.8674649Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-12-04T09:35:30.8675145Z fi 2025-12-04T09:35:30.8682000Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:35:30.8682448Z env: 2025-12-04T09:35:30.8682696Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:35:30.8682992Z ##[endgroup] 2025-12-04T09:35:30.8772890Z Docker daemon is running... 2025-12-04T09:35:30.8846316Z ##[group]Run nick-fields/retry@v3.0.0 2025-12-04T09:35:30.8846945Z with: 2025-12-04T09:35:30.8847356Z shell: bash 2025-12-04T09:35:30.8847805Z timeout_minutes: 5 2025-12-04T09:35:30.8848290Z max_attempts: 3 2025-12-04T09:35:30.8848761Z retry_wait_seconds: 30 2025-12-04T09:35:30.8853936Z command: AWS_ACCOUNT_ID=$(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 2025-12-04T09:35:30.8859249Z polling_interval_seconds: 1 2025-12-04T09:35:30.8859851Z warning_on_retry: true 2025-12-04T09:35:30.8860398Z continue_on_error: false 2025-12-04T09:35:30.8860917Z env: 2025-12-04T09:35:30.8861340Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:35:30.8861892Z AWS_RETRY_MODE: standard 2025-12-04T09:35:30.8862420Z AWS_MAX_ATTEMPTS: 5 2025-12-04T09:35:30.8862936Z AWS_DEFAULT_REGION: us-east-1 2025-12-04T09:35:30.8863475Z ##[endgroup] 2025-12-04T09:35:32.1629746Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T09:35:32.1630704Z Configure a credential helper to remove this warning. See 2025-12-04T09:35:32.1631388Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T09:35:32.1631846Z 2025-12-04T09:35:32.1631976Z Login Succeeded 2025-12-04T09:35:32.9779931Z Command completed after 1 attempt(s). 2025-12-04T09:35:32.9833866Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:35:32.9834510Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:35:32.9835057Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:35:32.9844701Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:35:32.9845156Z env: 2025-12-04T09:35:32.9845414Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:35:32.9845703Z ##[endgroup] 2025-12-04T09:35:32.9931645Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T09:35:32.9932313Z # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T09:35:32.9932845Z # shellcheck disable=SC2046 2025-12-04T09:35:32.9933227Z docker stop $(docker ps -q) || true 2025-12-04T09:35:32.9933638Z # Prune all of the docker images 2025-12-04T09:35:32.9934020Z docker system prune -af 2025-12-04T09:35:32.9940647Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:35:32.9941092Z env: 2025-12-04T09:35:32.9941359Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:35:32.9941651Z ##[endgroup] 2025-12-04T09:35:33.0218511Z "docker stop" requires at least 1 argument. 2025-12-04T09:35:33.0218979Z See 'docker stop --help'. 2025-12-04T09:35:33.0219196Z 2025-12-04T09:35:33.0219386Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-12-04T09:35:33.0219704Z 2025-12-04T09:35:33.0219847Z Stop one or more running containers 2025-12-04T09:35:33.0429728Z Total reclaimed space: 0B 2025-12-04T09:35:33.0637804Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-12-04T09:35:33.0638361Z with: 2025-12-04T09:35:33.0639305Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:35:33.0640365Z use-custom-docker-registry: true 2025-12-04T09:35:33.0640728Z docker-build-dir: .ci/docker 2025-12-04T09:35:33.0641070Z docker-build-script: ./build.sh 2025-12-04T09:35:33.0641562Z working-directory: . 2025-12-04T09:35:33.0641970Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:35:33.0642438Z force-push: false 2025-12-04T09:35:33.0642684Z env: 2025-12-04T09:35:33.0642928Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:35:33.0643226Z ##[endgroup] 2025-12-04T09:35:33.0664449Z ##[group]Run set -ex 2025-12-04T09:35:33.0665071Z set -ex 2025-12-04T09:35:33.0665336Z  2025-12-04T09:35:33.0665849Z # If the docker build directory or the build script doesn't exist, the action will 2025-12-04T09:35:33.0666639Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-12-04T09:35:33.0667312Z # job could then download the pre-built image as usual 2025-12-04T09:35:33.0668126Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-12-04T09:35:33.0668872Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-12-04T09:35:33.0669264Z else 2025-12-04T09:35:33.0669570Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-12-04T09:35:33.0670093Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:35:33.0670558Z  2025-12-04T09:35:33.0671204Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-12-04T09:35:33.0671960Z  exit 0 2025-12-04T09:35:33.0672203Z fi 2025-12-04T09:35:33.0672439Z  2025-12-04T09:35:33.0672829Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-12-04T09:35:33.0673535Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-12-04T09:35:33.0674149Z  # use it as it is, but first let's extract the tag 2025-12-04T09:35:33.0674711Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-12-04T09:35:33.0675311Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:35:33.0675959Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:35:33.0676437Z else 2025-12-04T09:35:33.0676739Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-12-04T09:35:33.0677188Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-12-04T09:35:33.0677641Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-12-04T09:35:33.0678040Z  fi 2025-12-04T09:35:33.0678571Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-12-04T09:35:33.0679281Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:35:33.0680034Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:35:33.0680863Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:35:33.0681367Z fi 2025-12-04T09:35:33.0688163Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:35:33.0688607Z env: 2025-12-04T09:35:33.0688856Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:35:33.0689155Z REPO_NAME: pytorch 2025-12-04T09:35:33.0690257Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:35:33.0691312Z DOCKER_BUILD_DIR: .ci/docker 2025-12-04T09:35:33.0691650Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-12-04T09:35:33.0692080Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:35:33.0692557Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-12-04T09:35:33.0692912Z CUSTOM_TAG_PREFIX: 2025-12-04T09:35:33.0693181Z ##[endgroup] 2025-12-04T09:35:33.0721209Z + [[ -d .ci/docker ]] 2025-12-04T09:35:33.0721528Z + [[ -f .ci/docker/./build.sh ]] 2025-12-04T09:35:33.0722023Z + [[ true == \t\r\u\e ]] 2025-12-04T09:35:33.0722323Z + echo skip=false 2025-12-04T09:35:33.0723592Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a == *\3\0\8\5\3\5\3\8\5\1\1\4\.\d\k\r\.\e\c\r\.\u\s\-\e\a\s\t\-\1\.\a\m\a\z\o\n\a\w\s\.\c\o\m\/\p\y\t\o\r\c\h* ]] 2025-12-04T09:35:33.0729212Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:35:33.0730197Z ++ awk -F '[:,]' '{print $2}' 2025-12-04T09:35:33.0753635Z + DOCKER_TAG=pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:35:33.0754738Z + echo docker-tag=pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:35:33.0756330Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:35:33.0781799Z ##[group]Run set +e 2025-12-04T09:35:33.0782150Z set +e 2025-12-04T09:35:33.0782401Z set -x 2025-12-04T09:35:33.0782657Z  2025-12-04T09:35:33.0782903Z login() { 2025-12-04T09:35:33.0783445Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-12-04T09:35:33.0784056Z } 2025-12-04T09:35:33.0784304Z  2025-12-04T09:35:33.0784531Z retry () { 2025-12-04T09:35:33.0784841Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-12-04T09:35:33.0785204Z } 2025-12-04T09:35:33.0785424Z  2025-12-04T09:35:33.0785685Z retry login "${DOCKER_REGISTRY}" 2025-12-04T09:35:33.0786033Z  2025-12-04T09:35:33.0786281Z START_TIME=$(date +%s) 2025-12-04T09:35:33.0786605Z # Wait up to 120 minutes 2025-12-04T09:35:33.0787025Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-12-04T09:35:33.0787614Z  # Check if image already exists, if it does then skip building it 2025-12-04T09:35:33.0788180Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-12-04T09:35:33.0788605Z  exit 0 2025-12-04T09:35:33.0788870Z  fi 2025-12-04T09:35:33.0789101Z  2025-12-04T09:35:33.0789546Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-12-04T09:35:33.0790334Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-12-04T09:35:33.0791119Z  # latter, it will wait for the Docker images to become available before continuing 2025-12-04T09:35:33.0791714Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-12-04T09:35:33.0792181Z  # It's a Docker build job, let's build the image 2025-12-04T09:35:33.0792582Z  break 2025-12-04T09:35:33.0792852Z  else 2025-12-04T09:35:33.0793229Z  # It's a regular build job, wait for the image to become available 2025-12-04T09:35:33.0793709Z  sleep 300 2025-12-04T09:35:33.0793991Z  fi 2025-12-04T09:35:33.0794222Z done 2025-12-04T09:35:33.0794462Z  2025-12-04T09:35:33.0794868Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-12-04T09:35:33.0795810Z # be empty. The default action would be to continue rebuild the image 2025-12-04T09:35:33.0796432Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-12-04T09:35:33.0796967Z  # if we're on the base branch then use the parent commit 2025-12-04T09:35:33.0797437Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-12-04T09:35:33.0797794Z else 2025-12-04T09:35:33.0798172Z  # otherwise we're on a PR, so use the most recent base commit 2025-12-04T09:35:33.0798729Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-12-04T09:35:33.0799217Z fi 2025-12-04T09:35:33.0799458Z  2025-12-04T09:35:33.0799724Z if [[ -z "${MERGE_BASE}" ]]; then 2025-12-04T09:35:33.0800141Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-12-04T09:35:33.0800795Z  2025-12-04T09:35:33.0801343Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-12-04T09:35:33.0802001Z  exit 0 2025-12-04T09:35:33.0802249Z fi 2025-12-04T09:35:33.0802492Z  2025-12-04T09:35:33.0802848Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-12-04T09:35:33.0803657Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-12-04T09:35:33.0804338Z  exit 1 2025-12-04T09:35:33.0804593Z fi 2025-12-04T09:35:33.0804829Z  2025-12-04T09:35:33.0805235Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-12-04T09:35:33.0806007Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-12-04T09:35:33.0806699Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-12-04T09:35:33.0807497Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-12-04T09:35:33.0808391Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-12-04T09:35:33.0808923Z fi 2025-12-04T09:35:33.0809158Z  2025-12-04T09:35:33.0809440Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-12-04T09:35:33.0815947Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:35:33.0816386Z env: 2025-12-04T09:35:33.0816631Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:35:33.0816936Z DOCKER_BUILD_DIR: .ci/docker 2025-12-04T09:35:33.0817336Z BASE_REVISION: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:35:33.0818440Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:35:33.0819769Z DOCKER_TAG: pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:35:33.0820567Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:35:33.0821028Z DOCKER_PUSH: 2025-12-04T09:35:33.0821289Z ##[endgroup] 2025-12-04T09:35:33.0847929Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:35:33.0848450Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:35:33.0851006Z + aws ecr get-login-password --region us-east-1 2025-12-04T09:35:33.0852467Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:35:33.6623011Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T09:35:33.6623783Z Configure a credential helper to remove this warning. See 2025-12-04T09:35:33.6624507Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T09:35:33.6625101Z 2025-12-04T09:35:33.6625228Z Login Succeeded 2025-12-04T09:35:33.6640071Z ++ date +%s 2025-12-04T09:35:33.6650869Z + START_TIME=1764840933 2025-12-04T09:35:33.6654387Z ++ date +%s 2025-12-04T09:35:33.6664998Z + [[ 1764833733 -lt 1764840933 ]] 2025-12-04T09:35:33.6666062Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:35:33.8878623Z { 2025-12-04T09:35:33.8879168Z "schemaVersion": 2, 2025-12-04T09:35:33.8879883Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-12-04T09:35:33.8880400Z "config": { 2025-12-04T09:35:33.8880794Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-12-04T09:35:33.8881513Z "size": 34787, 2025-12-04T09:35:33.8881994Z "digest": "sha256:5465aa79632b68f6240c23f0d0b021df4d0fd595333b61a40d36a0cf73656024" 2025-12-04T09:35:33.8882601Z }, 2025-12-04T09:35:33.8882937Z "layers": [ 2025-12-04T09:35:33.8883296Z { 2025-12-04T09:35:33.8883854Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:35:33.8884554Z "size": 30447951, 2025-12-04T09:35:33.8885480Z "digest": "sha256:63e5bc7682b85ae57a1221210f64d62e7a90b0a30f19af4ca734b8242ae49d63" 2025-12-04T09:35:33.8886050Z }, 2025-12-04T09:35:33.8886253Z { 2025-12-04T09:35:33.8886628Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:35:33.8887107Z "size": 1554, 2025-12-04T09:35:33.8887581Z "digest": "sha256:835841cca3b7e1464290cdb78e48773e03583413fbed852c3cc5165a392ea44d" 2025-12-04T09:35:33.8888116Z }, 2025-12-04T09:35:33.8888329Z { 2025-12-04T09:35:33.8888701Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:35:33.8889176Z "size": 313276213, 2025-12-04T09:35:33.8889677Z "digest": 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"sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T09:35:33.9073708Z } 2025-12-04T09:35:33.9073921Z ] 2025-12-04T09:35:33.9074136Z } 2025-12-04T09:35:33.9104439Z ##[group]Run set -eux 2025-12-04T09:35:33.9104759Z set -eux 2025-12-04T09:35:33.9105233Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-12-04T09:35:33.9106730Z 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 2025-12-04T09:35:33.9115101Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:35:33.9115536Z env: 2025-12-04T09:35:33.9115859Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:35:33.9116165Z ##[endgroup] 2025-12-04T09:35:33.9147025Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-12-04T09:35:33.9148056Z + jq --raw-output .SecretString 2025-12-04T09:35:33.9148766Z + jq -r .docker_hub_readonly_token 2025-12-04T09:35:33.9149962Z + docker login --username pytorchbot --password-stdin 2025-12-04T09:35:34.5593141Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T09:35:34.5593875Z Configure a credential helper to remove this warning. See 2025-12-04T09:35:34.5594543Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T09:35:34.5595015Z 2025-12-04T09:35:34.5607603Z Login Succeeded 2025-12-04T09:35:34.5696342Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-12-04T09:35:34.5696776Z tag=${ECR_DOCKER_IMAGE##*:} 2025-12-04T09:35:34.5697248Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-12-04T09:35:34.5704346Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:35:34.5704793Z env: 2025-12-04T09:35:34.5705041Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:35:34.5706033Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:35:34.5707070Z ##[endgroup] 2025-12-04T09:35:34.5736654Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:35:34.5786399Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-12-04T09:35:34.5786890Z with: 2025-12-04T09:35:34.5787808Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:35:34.5788939Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:35:34.5789391Z env: 2025-12-04T09:35:34.5789621Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:35:34.5789918Z ##[endgroup] 2025-12-04T09:35:34.5806268Z ##[group]Run set -x 2025-12-04T09:35:34.5806579Z set -x 2025-12-04T09:35:34.5806826Z set +e 2025-12-04T09:35:34.5807080Z  2025-12-04T09:35:34.5807344Z login() { 2025-12-04T09:35:34.5807881Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-12-04T09:35:34.5808492Z } 2025-12-04T09:35:34.5808725Z  2025-12-04T09:35:34.5808998Z retry () { 2025-12-04T09:35:34.5809297Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-12-04T09:35:34.5809660Z } 2025-12-04T09:35:34.5809897Z  2025-12-04T09:35:34.5810164Z retry login "${DOCKER_REGISTRY}" 2025-12-04T09:35:34.5810506Z  2025-12-04T09:35:34.5811078Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-12-04T09:35:34.5811860Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-12-04T09:35:34.5812279Z  2025-12-04T09:35:34.5812519Z set -e 2025-12-04T09:35:34.5812908Z # ignore output since only exit code is used for conditional 2025-12-04T09:35:34.5813482Z # only pull docker image if it's not available locally 2025-12-04T09:35:34.5814104Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-12-04T09:35:34.5814690Z  retry docker pull "${DOCKER_IMAGE}" 2025-12-04T09:35:34.5815058Z fi 2025-12-04T09:35:34.5821002Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:35:34.5821442Z env: 2025-12-04T09:35:34.5821689Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:35:34.5822647Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:35:34.5823764Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:35:34.5824213Z ##[endgroup] 2025-12-04T09:35:34.5849150Z + set +e 2025-12-04T09:35:34.5849822Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:35:34.5850387Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:35:34.5853184Z + aws ecr get-login-password --region us-east-1 2025-12-04T09:35:34.5854225Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:35:35.1470202Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T09:35:35.1470926Z Configure a credential helper to remove this warning. See 2025-12-04T09:35:35.1471601Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T09:35:35.1472057Z 2025-12-04T09:35:35.1477213Z Login Succeeded 2025-12-04T09:35:35.1495997Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:35:35.1497150Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-12-04T09:35:35.3995074Z + IMAGE_SIZE=13438.219573020935 2025-12-04T09:35:35.3995659Z + echo 'Compressed size of image in MB: 13438.219573020935' 2025-12-04T09:35:35.3996124Z + set -e 2025-12-04T09:35:35.3997116Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:35:35.3998590Z Compressed size of image in MB: 13438.219573020935 2025-12-04T09:35:35.4128124Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:35:35.4129850Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:35:35.6393617Z pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a: Pulling from pytorch/ci-image 2025-12-04T09:35:35.6395173Z 63e5bc7682b8: Pulling fs layer 2025-12-04T09:35:35.6395847Z 835841cca3b7: Pulling fs layer 2025-12-04T09:35:35.6396443Z 1bf1bb125dea: Pulling fs layer 2025-12-04T09:35:35.6397005Z b21856d1bf42: Pulling fs layer 2025-12-04T09:35:35.6397557Z 848ba2c095e2: Pulling fs layer 2025-12-04T09:35:35.6398114Z 029495b23122: Pulling fs layer 2025-12-04T09:35:35.6398658Z 073bb82063cf: Pulling fs layer 2025-12-04T09:35:35.6399259Z 59b639308833: Pulling fs layer 2025-12-04T09:35:35.6399826Z 1c6177b2970d: Pulling fs layer 2025-12-04T09:35:35.6400704Z fabe466dd5f3: Pulling fs layer 2025-12-04T09:35:35.6401228Z 2b5a11b41761: Pulling fs layer 2025-12-04T09:35:35.6401813Z 9681563a88ff: Pulling fs layer 2025-12-04T09:35:35.6402386Z dc0780902fca: Pulling fs layer 2025-12-04T09:35:35.6402905Z b21856d1bf42: Waiting 2025-12-04T09:35:35.6403391Z 848ba2c095e2: Waiting 2025-12-04T09:35:35.6403871Z 5b09a2b135c8: Pulling fs layer 2025-12-04T09:35:35.6404441Z 4f4fb700ef54: Pulling fs layer 2025-12-04T09:35:35.6404962Z 073bb82063cf: Waiting 2025-12-04T09:35:35.6405427Z 59b639308833: Waiting 2025-12-04T09:35:35.6405897Z 5bfdaeb5578d: Pulling fs layer 2025-12-04T09:35:35.6406462Z 029495b23122: Waiting 2025-12-04T09:35:35.6406955Z 0ef42867f370: Pulling fs layer 2025-12-04T09:35:35.6407469Z fabe466dd5f3: Waiting 2025-12-04T09:35:35.6407944Z 5b09a2b135c8: Waiting 2025-12-04T09:35:35.6408362Z 5bfdaeb5578d: Waiting 2025-12-04T09:35:35.6408659Z dc0780902fca: Waiting 2025-12-04T09:35:35.6409020Z 9681563a88ff: Waiting 2025-12-04T09:35:35.6409370Z 0ef42867f370: Waiting 2025-12-04T09:35:35.6409754Z 446083e497f3: Pulling fs layer 2025-12-04T09:35:35.6410177Z d8a170bef0f4: Pulling fs layer 2025-12-04T09:35:35.6410635Z 2b5a11b41761: Waiting 2025-12-04T09:35:35.6411024Z 446083e497f3: Waiting 2025-12-04T09:35:35.6411429Z 4f4fb700ef54: Waiting 2025-12-04T09:35:35.6411888Z e2b6cd6a5bd0: Pulling fs layer 2025-12-04T09:35:35.6412412Z 93efc0181a22: Pulling fs layer 2025-12-04T09:35:35.6412948Z 1c6177b2970d: Waiting 2025-12-04T09:35:35.6413400Z 7454c938f174: Pulling fs layer 2025-12-04T09:35:35.6413851Z 93efc0181a22: Waiting 2025-12-04T09:35:35.6414295Z 4d57ff55f6d4: Pulling fs layer 2025-12-04T09:35:35.6415101Z b0301534b4a5: Pulling fs layer 2025-12-04T09:35:35.6415568Z 7454c938f174: Waiting 2025-12-04T09:35:35.6415966Z e2b6cd6a5bd0: Waiting 2025-12-04T09:35:35.6416386Z d8a170bef0f4: Waiting 2025-12-04T09:35:35.6417074Z 1969e15d0c13: Pulling fs layer 2025-12-04T09:35:35.6429114Z 4d57ff55f6d4: Waiting 2025-12-04T09:35:35.6429641Z 73180a0f2d5a: Pulling fs layer 2025-12-04T09:35:35.6430118Z b0301534b4a5: Waiting 2025-12-04T09:35:35.6430584Z ad81b25cb69f: Pulling fs layer 2025-12-04T09:35:35.6431074Z 8165374f8dcc: Pulling fs layer 2025-12-04T09:35:35.6431596Z 1969e15d0c13: Waiting 2025-12-04T09:35:35.6432055Z 7779c0bb9be2: Pulling fs layer 2025-12-04T09:35:35.6432558Z ad81b25cb69f: Waiting 2025-12-04T09:35:35.6433005Z 73180a0f2d5a: Waiting 2025-12-04T09:35:35.6433470Z 4d0a1c027262: Pulling fs layer 2025-12-04T09:35:35.6433967Z 7779c0bb9be2: Waiting 2025-12-04T09:35:35.6434403Z a51e0dab2d59: Pulling fs layer 2025-12-04T09:35:35.6434855Z 4d0a1c027262: Waiting 2025-12-04T09:35:35.6435275Z a51e0dab2d59: Waiting 2025-12-04T09:35:35.6435842Z 3eb6d4ff040b: Pulling fs layer 2025-12-04T09:35:35.6436364Z 3eb6d4ff040b: Waiting 2025-12-04T09:35:35.6436820Z b168858b8537: Pulling fs layer 2025-12-04T09:35:35.6437321Z d77a39278026: Pulling fs layer 2025-12-04T09:35:35.6438151Z 36fbd357280b: Pulling fs layer 2025-12-04T09:35:35.6438698Z 4e3b10a5dd6a: Pulling fs layer 2025-12-04T09:35:35.6439242Z b168858b8537: Waiting 2025-12-04T09:35:35.6439674Z 36fbd357280b: Waiting 2025-12-04T09:35:35.6440148Z 3092fab73b59: Pulling fs layer 2025-12-04T09:35:35.6440677Z 4e3b10a5dd6a: Waiting 2025-12-04T09:35:35.6441168Z 20020dd28a15: Pulling fs layer 2025-12-04T09:35:35.6441702Z ae5280ce969d: Pulling fs layer 2025-12-04T09:35:35.6442233Z 3092fab73b59: Waiting 2025-12-04T09:35:35.6442691Z 20020dd28a15: Waiting 2025-12-04T09:35:35.6443119Z d77a39278026: Waiting 2025-12-04T09:35:35.6443545Z ae5280ce969d: Waiting 2025-12-04T09:35:35.6443977Z 026e4484b749: Pulling fs layer 2025-12-04T09:35:35.6444475Z 1be9da2ce53d: Pulling fs layer 2025-12-04T09:35:35.6445000Z 6481b7a1d9fb: Pulling fs layer 2025-12-04T09:35:35.6445526Z fa519d18c39d: Pulling fs layer 2025-12-04T09:35:35.6446037Z 026e4484b749: Waiting 2025-12-04T09:35:35.6446489Z d172f25b97f7: Pulling fs layer 2025-12-04T09:35:35.6447041Z 1be9da2ce53d: Waiting 2025-12-04T09:35:35.6447535Z fd60ab6b1c2c: Pulling fs layer 2025-12-04T09:35:35.6448069Z 6481b7a1d9fb: Waiting 2025-12-04T09:35:35.6448523Z fa519d18c39d: Waiting 2025-12-04T09:35:35.6448965Z d172f25b97f7: Waiting 2025-12-04T09:35:35.6449426Z 0afe45579c2c: Pulling fs layer 2025-12-04T09:35:35.6449984Z 5884ffd6720b: Pulling fs layer 2025-12-04T09:35:35.6450506Z 0afe45579c2c: Waiting 2025-12-04T09:35:35.6450930Z fd60ab6b1c2c: Waiting 2025-12-04T09:35:35.6451341Z 5884ffd6720b: Waiting 2025-12-04T09:35:35.6451809Z ab7a7c316fa7: Pulling fs layer 2025-12-04T09:35:35.6452331Z c7775ce5574b: Pulling fs layer 2025-12-04T09:35:35.6452870Z 81945c4fb228: Pulling fs layer 2025-12-04T09:35:35.6453382Z 81945c4fb228: Waiting 2025-12-04T09:35:35.6453823Z c7775ce5574b: Waiting 2025-12-04T09:35:35.6454251Z 663cbe24d60b: Pulling fs layer 2025-12-04T09:35:35.6454783Z 43f216b02786: Pulling fs layer 2025-12-04T09:35:35.6455280Z 663cbe24d60b: Waiting 2025-12-04T09:35:35.6455720Z c47c3cfeb687: Pulling fs layer 2025-12-04T09:35:35.6456276Z ab7a7c316fa7: Waiting 2025-12-04T09:35:35.6456775Z 7d326b9e2673: Pulling fs layer 2025-12-04T09:35:35.6457295Z c47c3cfeb687: Waiting 2025-12-04T09:35:35.6457760Z 43f216b02786: Waiting 2025-12-04T09:35:35.6458234Z 7ec8f17141c8: Pulling fs layer 2025-12-04T09:35:35.6458763Z 7d326b9e2673: Waiting 2025-12-04T09:35:35.6459250Z 26249ea175bf: Pulling fs layer 2025-12-04T09:35:35.6459779Z 7ec8f17141c8: Waiting 2025-12-04T09:35:35.6460256Z 5e8e9ccb36f3: Pulling fs layer 2025-12-04T09:35:35.6460785Z 26249ea175bf: Waiting 2025-12-04T09:35:35.6461273Z 5bc72d4e1de8: Pulling fs layer 2025-12-04T09:35:35.6461789Z 5e8e9ccb36f3: Waiting 2025-12-04T09:35:35.6462252Z 83cddbd49779: Pulling fs layer 2025-12-04T09:35:35.6462770Z 5bc72d4e1de8: Waiting 2025-12-04T09:35:35.6463410Z 60c25d8c3dd2: Pulling fs layer 2025-12-04T09:35:35.6463889Z 60c25d8c3dd2: Waiting 2025-12-04T09:35:35.6464357Z a534dcf4b9a9: Pulling fs layer 2025-12-04T09:35:35.6464887Z 10138310c65c: Pulling fs layer 2025-12-04T09:35:35.6465401Z 83cddbd49779: Waiting 2025-12-04T09:35:35.6465874Z a534dcf4b9a9: Waiting 2025-12-04T09:35:35.6466368Z 8487679f252b: Pulling fs layer 2025-12-04T09:35:35.6466922Z 52580ee2caa9: Pulling fs layer 2025-12-04T09:35:35.6467463Z 10138310c65c: Waiting 2025-12-04T09:35:35.6467961Z 741c215cb2ff: Pulling fs layer 2025-12-04T09:35:35.6468525Z d17f5aba17a6: Pulling fs layer 2025-12-04T09:35:35.6469057Z 8487679f252b: Waiting 2025-12-04T09:35:35.6469523Z 741c215cb2ff: Waiting 2025-12-04T09:35:35.6470007Z bc08246bb4ba: Pulling fs layer 2025-12-04T09:35:35.6470554Z 52580ee2caa9: Waiting 2025-12-04T09:35:35.6471027Z d17f5aba17a6: Waiting 2025-12-04T09:35:35.6471479Z bc08246bb4ba: Waiting 2025-12-04T09:35:35.6471980Z 7323bf084bf9: Pulling fs layer 2025-12-04T09:35:35.6472572Z d344ecc97fd7: Pulling fs layer 2025-12-04T09:35:35.6473107Z fb60b2d2147f: Pulling fs layer 2025-12-04T09:35:35.6473651Z 7323bf084bf9: Waiting 2025-12-04T09:35:35.6474109Z fb60b2d2147f: Waiting 2025-12-04T09:35:35.6474580Z d344ecc97fd7: Waiting 2025-12-04T09:35:35.7273233Z 835841cca3b7: Verifying Checksum 2025-12-04T09:35:35.7273642Z 835841cca3b7: Download complete 2025-12-04T09:35:35.8082176Z b21856d1bf42: Verifying Checksum 2025-12-04T09:35:35.8082580Z b21856d1bf42: Download complete 2025-12-04T09:35:35.8772242Z 848ba2c095e2: Verifying Checksum 2025-12-04T09:35:35.8772904Z 848ba2c095e2: Download complete 2025-12-04T09:35:35.9754442Z 029495b23122: Verifying Checksum 2025-12-04T09:35:35.9754835Z 029495b23122: Download complete 2025-12-04T09:35:36.0004387Z 63e5bc7682b8: Verifying Checksum 2025-12-04T09:35:36.0004796Z 63e5bc7682b8: Download complete 2025-12-04T09:35:36.0735348Z 59b639308833: Download complete 2025-12-04T09:35:36.0841105Z 073bb82063cf: Download complete 2025-12-04T09:35:36.1604278Z fabe466dd5f3: Verifying Checksum 2025-12-04T09:35:36.1604749Z fabe466dd5f3: Download complete 2025-12-04T09:35:36.2329316Z 2b5a11b41761: Download complete 2025-12-04T09:35:36.3182083Z 9681563a88ff: Verifying Checksum 2025-12-04T09:35:36.3182793Z 9681563a88ff: Download complete 2025-12-04T09:35:36.4119561Z dc0780902fca: Download complete 2025-12-04T09:35:36.9523317Z 63e5bc7682b8: Pull complete 2025-12-04T09:35:36.9735551Z 835841cca3b7: Pull complete 2025-12-04T09:35:37.7901283Z 1c6177b2970d: Verifying Checksum 2025-12-04T09:35:37.7901897Z 1c6177b2970d: Download complete 2025-12-04T09:35:37.8006623Z 4f4fb700ef54: Download complete 2025-12-04T09:35:37.8923144Z 5bfdaeb5578d: Verifying Checksum 2025-12-04T09:35:37.8923537Z 5bfdaeb5578d: Download complete 2025-12-04T09:35:37.9951733Z 0ef42867f370: Download complete 2025-12-04T09:35:38.0988385Z 446083e497f3: Verifying Checksum 2025-12-04T09:35:38.0989048Z 446083e497f3: Download complete 2025-12-04T09:35:38.3152986Z d8a170bef0f4: Verifying Checksum 2025-12-04T09:35:38.3153479Z d8a170bef0f4: Download complete 2025-12-04T09:35:38.4451175Z e2b6cd6a5bd0: Download complete 2025-12-04T09:35:38.5435978Z 93efc0181a22: Verifying Checksum 2025-12-04T09:35:38.5436373Z 93efc0181a22: Download complete 2025-12-04T09:35:38.6783691Z 7454c938f174: Download complete 2025-12-04T09:35:38.7705594Z 4d57ff55f6d4: Verifying Checksum 2025-12-04T09:35:38.7705996Z 4d57ff55f6d4: Download complete 2025-12-04T09:35:40.9328998Z 1bf1bb125dea: Verifying Checksum 2025-12-04T09:35:40.9329412Z 1bf1bb125dea: Download complete 2025-12-04T09:35:41.0090611Z 1969e15d0c13: Download complete 2025-12-04T09:35:41.4233907Z 73180a0f2d5a: Verifying Checksum 2025-12-04T09:35:41.4234372Z 73180a0f2d5a: Download complete 2025-12-04T09:35:41.5258254Z ad81b25cb69f: Verifying Checksum 2025-12-04T09:35:41.5258689Z ad81b25cb69f: Download complete 2025-12-04T09:35:41.6010382Z 8165374f8dcc: Download complete 2025-12-04T09:35:49.3077767Z 7779c0bb9be2: Verifying Checksum 2025-12-04T09:35:49.3078423Z 7779c0bb9be2: Download complete 2025-12-04T09:35:49.4236772Z 4d0a1c027262: Verifying Checksum 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308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:40:07.4473367Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:40:07.4530762Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:40:07.4531910Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:40:07.4540708Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:40:07.4541146Z env: 2025-12-04T09:40:07.4541380Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:40:07.4541680Z ##[endgroup] 2025-12-04T09:40:07.4743541Z ##[group]Run pytorch/test-infra/.github/actions/setup-nvidia@main 2025-12-04T09:40:07.4744022Z with: 2025-12-04T09:40:07.4744281Z driver-version: 525.105.17 2025-12-04T09:40:07.4744585Z env: 2025-12-04T09:40:07.4744818Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:40:07.4745118Z ##[endgroup] 2025-12-04T09:40:07.4798376Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:40:07.4799480Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:40:07.4806714Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:40:07.4807153Z env: 2025-12-04T09:40:07.4807400Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:40:07.4807689Z ##[endgroup] 2025-12-04T09:40:07.4863628Z ##[group]Run set -euo pipefail 2025-12-04T09:40:07.4864010Z set -euo pipefail 2025-12-04T09:40:07.4864361Z  2025-12-04T09:40:07.4864599Z has_gpu=false 2025-12-04T09:40:07.4864894Z devices="" 2025-12-04T09:40:07.4865168Z  2025-12-04T09:40:07.4865480Z if command -v nvidia-smi >/dev/null 2>&1; then 2025-12-04T09:40:07.4866016Z  if nvidia-smi -L >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T09:40:07.4866471Z  has_gpu=true 2025-12-04T09:40:07.4866819Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T09:40:07.4867190Z  fi 2025-12-04T09:40:07.4867441Z fi 2025-12-04T09:40:07.4867681Z  2025-12-04T09:40:07.4867927Z if [ "$has_gpu" = false ]; then 2025-12-04T09:40:07.4868384Z  if ls /dev/nvidia* >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T09:40:07.4868835Z  has_gpu=true 2025-12-04T09:40:07.4869172Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T09:40:07.4869527Z  fi 2025-12-04T09:40:07.4869769Z fi 2025-12-04T09:40:07.4870011Z  2025-12-04T09:40:07.4870362Z if [ "$has_gpu" = false ] && command -v lspci >/dev/null 2>&1; then 2025-12-04T09:40:07.4870957Z  if lspci | grep -i 'nvidia' >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T09:40:07.4871444Z  has_gpu=true 2025-12-04T09:40:07.4871772Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T09:40:07.4872139Z  fi 2025-12-04T09:40:07.4872576Z fi 2025-12-04T09:40:07.4872801Z  2025-12-04T09:40:07.4873158Z printf 'HAS_NVIDIA=%s\n' "$has_gpu" >> "$GITHUB_OUTPUT" 2025-12-04T09:40:07.4873795Z printf 'DETECTED_DEVICES<> "$GITHUB_OUTPUT" 2025-12-04T09:40:07.4880521Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:40:07.4880944Z env: 2025-12-04T09:40:07.4881192Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:40:07.4881490Z ##[endgroup] 2025-12-04T09:40:09.0161082Z ##[group]Run if [ "${HAS_NVIDIA}" = "true" ]; then 2025-12-04T09:40:09.0161551Z if [ "${HAS_NVIDIA}" = "true" ]; then 2025-12-04T09:40:09.0161999Z  echo "HAS_NVIDIA_GPU=true" >> "${GITHUB_ENV}" 2025-12-04T09:40:09.0162617Z  echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-12-04T09:40:09.0163165Z else 2025-12-04T09:40:09.0163479Z  echo "HAS_NVIDIA_GPU=false" >> "${GITHUB_ENV}" 2025-12-04T09:40:09.0163921Z fi 2025-12-04T09:40:09.0170987Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:40:09.0171422Z env: 2025-12-04T09:40:09.0171679Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:40:09.0171990Z HAS_NVIDIA: true 2025-12-04T09:40:09.0172248Z ##[endgroup] 2025-12-04T09:40:09.0269342Z ##[group]Run nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482 2025-12-04T09:40:09.0269824Z with: 2025-12-04T09:40:09.0270069Z timeout_minutes: 10 2025-12-04T09:40:09.0270354Z max_attempts: 3 2025-12-04T09:40:09.0303365Z 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 2025-12-04T09:40:09.0336279Z retry_wait_seconds: 10 2025-12-04T09:40:09.0336597Z polling_interval_seconds: 1 2025-12-04T09:40:09.0336912Z warning_on_retry: true 2025-12-04T09:40:09.0337221Z continue_on_error: false 2025-12-04T09:40:09.0337514Z env: 2025-12-04T09:40:09.0337743Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:40:09.0338046Z HAS_NVIDIA_GPU: true 2025-12-04T09:40:09.0338410Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:40:09.0338828Z DRIVER_VERSION: 525.105.17 2025-12-04T09:40:09.0339131Z ##[endgroup] 2025-12-04T09:40:09.1614730Z == Installing nvidia driver NVIDIA-Linux-x86_64-525.105.17.run == 2025-12-04T09:40:09.1615669Z + pre_install_nvidia_driver_amzn2 2025-12-04T09:40:09.1616606Z + sudo yum remove -y nvidia-driver-latest-dkms 2025-12-04T09:40:09.8995451Z No match for argument: nvidia-driver-latest-dkms 2025-12-04T09:40:09.8996422Z No packages marked for removal. 2025-12-04T09:40:09.9069232Z Dependencies resolved. 2025-12-04T09:40:09.9080356Z Nothing to do. 2025-12-04T09:40:09.9081113Z Complete! 2025-12-04T09:40:10.0115259Z + install_nvidia_driver_common 2025-12-04T09:40:10.0117238Z + echo 'Before installing NVIDIA driver' 2025-12-04T09:40:10.0118787Z + lspci 2025-12-04T09:40:10.0120617Z Before installing NVIDIA driver 2025-12-04T09:40:10.1044221Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma] 2025-12-04T09:40:10.1044897Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II] 2025-12-04T09:40:10.1045591Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08) 2025-12-04T09:40:10.1046263Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111 2025-12-04T09:40:10.1046902Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller 2025-12-04T09:40:10.1047583Z 00:05.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA) 2025-12-04T09:40:10.1048209Z 00:1e.0 3D controller: NVIDIA Corporation TU104GL [Tesla T4] (rev a1) 2025-12-04T09:40:10.1048843Z 00:1f.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller 2025-12-04T09:40:10.1049355Z + lsmod 2025-12-04T09:40:10.1089708Z Module Size Used by 2025-12-04T09:40:10.1090367Z nvidia_uvm 1925120 0 2025-12-04T09:40:10.1090727Z nvidia 14286848 1 nvidia_uvm 2025-12-04T09:40:10.1091091Z drm 602112 1 nvidia 2025-12-04T09:40:10.1091459Z drm_panel_orientation_quirks 32768 1 drm 2025-12-04T09:40:10.1091846Z backlight 24576 1 drm 2025-12-04T09:40:10.1092212Z i2c_core 110592 2 nvidia,drm 2025-12-04T09:40:10.1092560Z xt_conntrack 16384 1 2025-12-04T09:40:10.1092896Z nft_chain_nat 16384 3 2025-12-04T09:40:10.1093218Z xt_MASQUERADE 20480 1 2025-12-04T09:40:10.1093575Z nf_nat 57344 2 nft_chain_nat,xt_MASQUERADE 2025-12-04T09:40:10.1094022Z nf_conntrack_netlink 57344 0 2025-12-04T09:40:10.1094527Z nf_conntrack 184320 4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE 2025-12-04T09:40:10.1095086Z nf_defrag_ipv6 24576 1 nf_conntrack 2025-12-04T09:40:10.1095468Z nf_defrag_ipv4 16384 1 nf_conntrack 2025-12-04T09:40:10.1095844Z xfrm_user 57344 1 2025-12-04T09:40:10.1096175Z xfrm_algo 16384 1 xfrm_user 2025-12-04T09:40:10.1096519Z xt_addrtype 16384 2 2025-12-04T09:40:10.1096842Z nft_compat 20480 4 2025-12-04T09:40:10.1097220Z nf_tables 311296 57 nft_compat,nft_chain_nat 2025-12-04T09:40:10.1097742Z nfnetlink 20480 4 nft_compat,nf_conntrack_netlink,nf_tables 2025-12-04T09:40:10.1098204Z br_netfilter 36864 0 2025-12-04T09:40:10.1098544Z bridge 323584 1 br_netfilter 2025-12-04T09:40:10.1098909Z stp 16384 1 bridge 2025-12-04T09:40:10.1099243Z llc 16384 2 bridge,stp 2025-12-04T09:40:10.1099590Z overlay 167936 0 2025-12-04T09:40:10.1099897Z tls 139264 0 2025-12-04T09:40:10.1100357Z nls_ascii 16384 1 2025-12-04T09:40:10.1100667Z nls_cp437 20480 1 2025-12-04T09:40:10.1100996Z vfat 24576 1 2025-12-04T09:40:10.1101293Z fat 86016 1 vfat 2025-12-04T09:40:10.1101623Z sunrpc 700416 1 2025-12-04T09:40:10.1101926Z i8042 45056 0 2025-12-04T09:40:10.1102211Z ena 184320 0 2025-12-04T09:40:10.1102524Z serio 28672 3 i8042 2025-12-04T09:40:10.1102864Z skx_edac_common 28672 0 2025-12-04T09:40:10.1103174Z button 24576 0 2025-12-04T09:40:10.1103636Z ghash_clmulni_intel 16384 0 2025-12-04T09:40:10.1103961Z sch_fq_codel 20480 17 2025-12-04T09:40:10.1104279Z fuse 184320 1 2025-12-04T09:40:10.1104568Z dm_mod 188416 0 2025-12-04T09:40:10.1104875Z configfs 57344 1 2025-12-04T09:40:10.1105185Z loop 36864 0 2025-12-04T09:40:10.1105475Z dmi_sysfs 20480 0 2025-12-04T09:40:10.1105787Z crc32_pclmul 16384 0 2025-12-04T09:40:10.1106098Z crc32c_intel 24576 0 2025-12-04T09:40:10.1106393Z efivarfs 24576 1 2025-12-04T09:40:10.1106704Z + modinfo nvidia 2025-12-04T09:40:10.1110197Z filename: /lib/modules/6.1.150-174.273.amzn2023.x86_64/kernel/drivers/video/nvidia.ko 2025-12-04T09:40:10.1110773Z import_ns: DMA_BUF 2025-12-04T09:40:10.1111065Z alias: char-major-195-* 2025-12-04T09:40:10.1111397Z version: 580.82.07 2025-12-04T09:40:10.1111699Z supported: external 2025-12-04T09:40:10.1111990Z license: Dual MIT/GPL 2025-12-04T09:40:10.1112358Z firmware: nvidia/580.82.07/gsp_tu10x.bin 2025-12-04T09:40:10.1112775Z firmware: nvidia/580.82.07/gsp_ga10x.bin 2025-12-04T09:40:10.1113162Z srcversion: BA7240A71DCF7DC6FE88C1D 2025-12-04T09:40:10.1113569Z alias: of:N*T*Cnvidia,tegra264-displayC* 2025-12-04T09:40:10.1114003Z alias: of:N*T*Cnvidia,tegra264-display 2025-12-04T09:40:10.1114461Z alias: of:N*T*Cnvidia,tegra234-displayC* 2025-12-04T09:40:10.1114876Z alias: of:N*T*Cnvidia,tegra234-display 2025-12-04T09:40:10.1115431Z alias: pci:v000010DEd*sv*sd*bc06sc80i00* 2025-12-04T09:40:10.1115925Z alias: pci:v000010DEd*sv*sd*bc03sc02i00* 2025-12-04T09:40:10.1116329Z alias: pci:v000010DEd*sv*sd*bc03sc00i00* 2025-12-04T09:40:10.1116719Z depends: i2c-core,drm 2025-12-04T09:40:10.1117042Z retpoline: Y 2025-12-04T09:40:10.1117294Z name: nvidia 2025-12-04T09:40:10.1117743Z vermagic: 6.1.150-174.273.amzn2023.x86_64 SMP preempt mod_unload modversions 2025-12-04T09:40:10.1118341Z parm: NvSwitchRegDwords:NvSwitch regkey (charp) 2025-12-04T09:40:10.1118897Z parm: NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp) 2025-12-04T09:40:10.1119405Z parm: NVreg_ResmanDebugLevel:int 2025-12-04T09:40:10.1119786Z parm: NVreg_RmLogonRC:int 2025-12-04T09:40:10.1120156Z parm: NVreg_ModifyDeviceFiles:int 2025-12-04T09:40:10.1120532Z parm: NVreg_DeviceFileUID:int 2025-12-04T09:40:10.1120905Z parm: NVreg_DeviceFileGID:int 2025-12-04T09:40:10.1121286Z parm: NVreg_DeviceFileMode:int 2025-12-04T09:40:10.1121718Z parm: NVreg_InitializeSystemMemoryAllocations:int 2025-12-04T09:40:10.1122192Z parm: NVreg_UsePageAttributeTable:int 2025-12-04T09:40:10.1122601Z parm: NVreg_EnablePCIeGen3:int 2025-12-04T09:40:10.1122972Z parm: NVreg_EnableMSI:int 2025-12-04T09:40:10.1123332Z parm: NVreg_EnableStreamMemOPs:int 2025-12-04T09:40:10.1123782Z parm: NVreg_RestrictProfilingToAdminUsers:int 2025-12-04T09:40:10.1124271Z parm: NVreg_PreserveVideoMemoryAllocations:int 2025-12-04T09:40:10.1124730Z parm: NVreg_EnableS0ixPowerManagement:int 2025-12-04T09:40:10.1125232Z parm: NVreg_S0ixPowerManagementVideoMemoryThreshold:int 2025-12-04T09:40:10.1125735Z parm: NVreg_DynamicPowerManagement:int 2025-12-04T09:40:10.1126235Z parm: NVreg_DynamicPowerManagementVideoMemoryThreshold:int 2025-12-04T09:40:10.1126737Z parm: NVreg_EnableGpuFirmware:int 2025-12-04T09:40:10.1127154Z parm: NVreg_EnableGpuFirmwareLogs:int 2025-12-04T09:40:10.1127605Z parm: NVreg_OpenRmEnableUnsupportedGpus:int 2025-12-04T09:40:10.1128053Z parm: NVreg_EnableUserNUMAManagement:int 2025-12-04T09:40:10.1128472Z parm: NVreg_MemoryPoolSize:int 2025-12-04T09:40:10.1128864Z parm: NVreg_KMallocHeapMaxSize:int 2025-12-04T09:40:10.1129258Z parm: NVreg_VMallocHeapMaxSize:int 2025-12-04T09:40:10.1129756Z parm: NVreg_IgnoreMMIOCheck:int 2025-12-04T09:40:10.1130149Z parm: NVreg_NvLinkDisable:int 2025-12-04T09:40:10.1130567Z parm: NVreg_EnablePCIERelaxedOrderingMode:int 2025-12-04T09:40:10.1131016Z parm: NVreg_RegisterPCIDriver:int 2025-12-04T09:40:10.1131456Z parm: NVreg_RegisterPlatformDeviceDriver:int 2025-12-04T09:40:10.1131904Z parm: NVreg_EnableResizableBar:int 2025-12-04T09:40:10.1132305Z parm: NVreg_EnableDbgBreakpoint:int 2025-12-04T09:40:10.1132740Z parm: NVreg_EnableNonblockingOpen:int 2025-12-04T09:40:10.1133181Z parm: NVreg_CoherentGPUMemoryMode:charp 2025-12-04T09:40:10.1133596Z parm: NVreg_RegistryDwords:charp 2025-12-04T09:40:10.1134022Z parm: NVreg_RegistryDwordsPerDevice:charp 2025-12-04T09:40:10.1134433Z parm: NVreg_RmMsg:charp 2025-12-04T09:40:10.1134782Z parm: NVreg_GpuBlacklist:charp 2025-12-04T09:40:10.1135186Z parm: NVreg_TemporaryFilePath:charp 2025-12-04T09:40:10.1135593Z parm: NVreg_ExcludedGpus:charp 2025-12-04T09:40:10.1135972Z parm: NVreg_DmaRemapPeerMmio:int 2025-12-04T09:40:10.1136381Z parm: NVreg_RmNvlinkBandwidth:charp 2025-12-04T09:40:10.1136819Z parm: NVreg_RmNvlinkBandwidthLinkCount:int 2025-12-04T09:40:10.1137254Z parm: NVreg_ImexChannelCount:int 2025-12-04T09:40:10.1137637Z parm: NVreg_CreateImexChannel0:int 2025-12-04T09:40:10.1138065Z parm: NVreg_GrdmaPciTopoCheckOverride:int 2025-12-04T09:40:10.1138560Z parm: rm_firmware_active:charp 2025-12-04T09:40:10.1138905Z + HAS_NVIDIA_DRIVER=0 2025-12-04T09:40:10.1139218Z ++ command -v nvidia-smi 2025-12-04T09:40:10.1139528Z + '[' -x /usr/bin/nvidia-smi ']' 2025-12-04T09:40:10.1139829Z + set +e 2025-12-04T09:40:10.1140207Z ++ nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0 2025-12-04T09:40:11.6664310Z + INSTALLED_DRIVER_VERSION=580.82.07 2025-12-04T09:40:11.6664777Z + NVIDIA_SMI_STATUS=0 2025-12-04T09:40:11.6665476Z + '[' 0 -ne 0 ']' 2025-12-04T09:40:11.6665793Z + '[' 580.82.07 '!=' 525.105.17 ']' 2025-12-04T09:40:11.6666419Z + echo 'NVIDIA driver (580.82.07) has been installed, but we expect to have 525.105.17 instead. Continuing' 2025-12-04T09:40:11.6667060Z + sudo killall nvidia-persistenced 2025-12-04T09:40:11.6667653Z NVIDIA driver (580.82.07) has been installed, but we expect to have 525.105.17 instead. Continuing 2025-12-04T09:40:11.8107744Z nvidia-persistenced: no process found 2025-12-04T09:40:11.8126296Z + true 2025-12-04T09:40:11.8126594Z + set -e 2025-12-04T09:40:11.8126838Z + '[' 0 -eq 0 ']' 2025-12-04T09:40:11.8127124Z + '[' amzn2023 '!=' ubuntu20.04 ']' 2025-12-04T09:40:11.8127516Z + sudo yum groupinstall -y 'Development Tools' 2025-12-04T09:40:12.4025908Z Last metadata expiration check: 0:23:03 ago on Thu Dec 4 09:17:09 2025. 2025-12-04T09:40:12.4474898Z No match for group package "system-rpm-config" 2025-12-04T09:40:12.4496475Z No match for group package "rcs" 2025-12-04T09:40:12.4524528Z No match for group package "pkgconfig" 2025-12-04T09:40:12.5112162Z Dependencies resolved. 2025-12-04T09:40:12.5445404Z ================================================================================ 2025-12-04T09:40:12.5445994Z Package Architecture Version Repository Size 2025-12-04T09:40:12.5446526Z ================================================================================ 2025-12-04T09:40:12.5446903Z Installing Groups: 2025-12-04T09:40:12.5447337Z Development Tools 2025-12-04T09:40:12.5447701Z 2025-12-04T09:40:12.5447809Z Transaction Summary 2025-12-04T09:40:12.5448109Z ================================================================================ 2025-12-04T09:40:12.5448381Z 2025-12-04T09:40:13.4729770Z ================================================================================ 2025-12-04T09:40:13.4730274Z WARNING: 2025-12-04T09:40:13.4730580Z A newer release of "Amazon Linux" is available. 2025-12-04T09:40:13.4731174Z 2025-12-04T09:40:13.4731298Z Available Versions: 2025-12-04T09:40:13.4731482Z 2025-12-04T09:40:13.4731588Z Version 2023.9.20250929: 2025-12-04T09:40:13.4731980Z Run the following command to upgrade to 2023.9.20250929: 2025-12-04T09:40:13.4732313Z 2025-12-04T09:40:13.4732461Z dnf upgrade --releasever=2023.9.20250929 2025-12-04T09:40:13.4732725Z 2025-12-04T09:40:13.4732844Z Release notes: 2025-12-04T09:40:13.4733361Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20250929.html 2025-12-04T09:40:13.4733848Z 2025-12-04T09:40:13.4733953Z Version 2023.9.20251014: 2025-12-04T09:40:13.4734333Z Run the following command to upgrade to 2023.9.20251014: 2025-12-04T09:40:13.4734647Z 2025-12-04T09:40:13.4734795Z dnf upgrade --releasever=2023.9.20251014 2025-12-04T09:40:13.4735053Z 2025-12-04T09:40:13.4735153Z Release notes: 2025-12-04T09:40:13.4735646Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251014.html 2025-12-04T09:40:13.4736121Z 2025-12-04T09:40:13.4736236Z Version 2023.9.20251020: 2025-12-04T09:40:13.4736601Z Run the following command to upgrade to 2023.9.20251020: 2025-12-04T09:40:13.4736929Z 2025-12-04T09:40:13.4737061Z dnf upgrade --releasever=2023.9.20251020 2025-12-04T09:40:13.4737332Z 2025-12-04T09:40:13.4737434Z Release notes: 2025-12-04T09:40:13.4737925Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251020.html 2025-12-04T09:40:13.4738393Z 2025-12-04T09:40:13.4738624Z Version 2023.9.20251027: 2025-12-04T09:40:13.4739011Z Run the following command to upgrade to 2023.9.20251027: 2025-12-04T09:40:13.4739323Z 2025-12-04T09:40:13.4739473Z dnf upgrade --releasever=2023.9.20251027 2025-12-04T09:40:13.4739732Z 2025-12-04T09:40:13.4739831Z Release notes: 2025-12-04T09:40:13.4740324Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251027.html 2025-12-04T09:40:13.4740812Z 2025-12-04T09:40:13.4740916Z Version 2023.9.20251105: 2025-12-04T09:40:13.4741292Z Run the following command to upgrade to 2023.9.20251105: 2025-12-04T09:40:13.4741603Z 2025-12-04T09:40:13.4741734Z dnf upgrade --releasever=2023.9.20251105 2025-12-04T09:40:13.4742003Z 2025-12-04T09:40:13.4742101Z Release notes: 2025-12-04T09:40:13.4742588Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251105.html 2025-12-04T09:40:13.4743051Z 2025-12-04T09:40:13.4743165Z Version 2023.9.20251110: 2025-12-04T09:40:13.4743534Z Run the following command to upgrade to 2023.9.20251110: 2025-12-04T09:40:13.4743857Z 2025-12-04T09:40:13.4743992Z dnf upgrade --releasever=2023.9.20251110 2025-12-04T09:40:13.4744248Z 2025-12-04T09:40:13.4744359Z Release notes: 2025-12-04T09:40:13.4744833Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251110.html 2025-12-04T09:40:13.4745307Z 2025-12-04T09:40:13.4745411Z Version 2023.9.20251117: 2025-12-04T09:40:13.4745795Z Run the following command to upgrade to 2023.9.20251117: 2025-12-04T09:40:13.4746107Z 2025-12-04T09:40:13.4746256Z dnf upgrade --releasever=2023.9.20251117 2025-12-04T09:40:13.4746531Z 2025-12-04T09:40:13.4746631Z Release notes: 2025-12-04T09:40:13.4747132Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251117.html 2025-12-04T09:40:13.4747597Z 2025-12-04T09:40:13.4747744Z ================================================================================ 2025-12-04T09:40:13.4748129Z Complete! 2025-12-04T09:40:13.5630479Z ++ uname -r 2025-12-04T09:40:13.5642433Z + sudo yum install -y 'kernel-devel-uname-r == 6.1.150-174.273.amzn2023.x86_64' 2025-12-04T09:40:14.1000685Z Last metadata expiration check: 0:23:05 ago on Thu Dec 4 09:17:09 2025. 2025-12-04T09:40:14.1309311Z Using '==' operator in reldeps can result in an undefined behavior. It is deprecated and the support will be dropped in future versions. Use '=' operator instead. 2025-12-04T09:40:14.1434764Z Package kernel-devel-1:6.1.150-174.273.amzn2023.x86_64 is already installed. 2025-12-04T09:40:14.2058787Z Dependencies resolved. 2025-12-04T09:40:14.2396532Z Nothing to do. 2025-12-04T09:40:14.2397043Z Complete! 2025-12-04T09:40:14.3361207Z + sudo modprobe backlight 2025-12-04T09:40:14.4892656Z + sudo curl -fsL -o /tmp/nvidia_driver https://s3.amazonaws.com/ossci-linux/nvidia_driver/NVIDIA-Linux-x86_64-525.105.17.run 2025-12-04T09:40:18.8955764Z + set +e 2025-12-04T09:40:18.8956149Z + sudo /bin/bash /tmp/nvidia_driver -s --no-drm 2025-12-04T09:40:20.3688040Z Verifying archive integrity... OK 2025-12-04T09:40:47.7952789Z Uncompressing NVIDIA Accelerated Graphics Driver for Linux-x86_64 525.105.17................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................... 2025-12-04T09:40:48.3561854Z 2025-12-04T09:40:48.3562761Z WARNING: The nvidia-drm module will not be installed. As a result, DRM-KMS will not function with this installation of the NVIDIA driver. 2025-12-04T09:40:48.3563474Z 2025-12-04T09:41:13.8965591Z 2025-12-04T09:41:13.8967484Z WARNING: nvidia-installer was forced to guess the X library path '/usr/lib64' and X module path '/usr/lib64/xorg/modules'; these paths were not queryable from the system. If X fails to find the NVIDIA X driver module, please install the `pkg-config` utility and the X.Org SDK/development package for your distribution and reinstall the driver. 2025-12-04T09:41:13.8969160Z 2025-12-04T09:41:13.8985268Z 2025-12-04T09:41:13.8986634Z WARNING: This NVIDIA driver package includes Vulkan components, but no Vulkan ICD loader was detected on this system. The NVIDIA Vulkan ICD will not function without the loader. Most distributions package the Vulkan loader; try installing the "vulkan-loader", "vulkan-icd-loader", or "libvulkan1" package. 2025-12-04T09:41:13.8988116Z 2025-12-04T09:41:25.3302825Z + NVIDIA_INSTALLATION_STATUS=0 2025-12-04T09:41:25.3303422Z + RESET_GPU=0 2025-12-04T09:41:25.3303764Z + '[' 0 -ne 0 ']' 2025-12-04T09:41:25.3305474Z ++ command -v nvidia-smi 2025-12-04T09:41:25.3308773Z + '[' -x /usr/bin/nvidia-smi ']' 2025-12-04T09:41:25.3311955Z ++ nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0 2025-12-04T09:41:27.9031027Z + INSTALLED_DRIVER_VERSION=525.105.17 2025-12-04T09:41:27.9031725Z + NVIDIA_SMI_STATUS=0 2025-12-04T09:41:27.9032010Z + '[' 0 -ne 0 ']' 2025-12-04T09:41:27.9032280Z + '[' 0 -eq 1 ']' 2025-12-04T09:41:27.9032566Z + sudo rm -fv /tmp/nvidia_driver 2025-12-04T09:41:28.0909650Z removed '/tmp/nvidia_driver' 2025-12-04T09:41:28.0929067Z + set -e 2025-12-04T09:41:28.0932316Z + post_install_nvidia_driver_common 2025-12-04T09:41:28.0935790Z + sudo modprobe nvidia 2025-12-04T09:41:28.2485344Z + echo 'After installing NVIDIA driver' 2025-12-04T09:41:28.2485760Z + lspci 2025-12-04T09:41:28.2486020Z After installing NVIDIA driver 2025-12-04T09:41:28.2621246Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma] 2025-12-04T09:41:28.2621885Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II] 2025-12-04T09:41:28.2622625Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08) 2025-12-04T09:41:28.2623616Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111 2025-12-04T09:41:28.2624236Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller 2025-12-04T09:41:28.2624897Z 00:05.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA) 2025-12-04T09:41:28.2625529Z 00:1e.0 3D controller: NVIDIA Corporation TU104GL [Tesla T4] (rev a1) 2025-12-04T09:41:28.2626154Z 00:1f.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller 2025-12-04T09:41:28.2626688Z + lsmod 2025-12-04T09:41:28.2652360Z Module Size Used by 2025-12-04T09:41:28.2653024Z nvidia 56537088 0 2025-12-04T09:41:28.2653455Z drm 602112 1 nvidia 2025-12-04T09:41:28.2653894Z drm_panel_orientation_quirks 32768 1 drm 2025-12-04T09:41:28.2654634Z backlight 24576 1 drm 2025-12-04T09:41:28.2655017Z i2c_core 110592 2 nvidia,drm 2025-12-04T09:41:28.2655376Z xt_conntrack 16384 1 2025-12-04T09:41:28.2655700Z nft_chain_nat 16384 3 2025-12-04T09:41:28.2656029Z xt_MASQUERADE 20480 1 2025-12-04T09:41:28.2656403Z nf_nat 57344 2 nft_chain_nat,xt_MASQUERADE 2025-12-04T09:41:28.2656804Z nf_conntrack_netlink 57344 0 2025-12-04T09:41:28.2657307Z nf_conntrack 184320 4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE 2025-12-04T09:41:28.2657856Z nf_defrag_ipv6 24576 1 nf_conntrack 2025-12-04T09:41:28.2658421Z nf_defrag_ipv4 16384 1 nf_conntrack 2025-12-04T09:41:28.2658789Z xfrm_user 57344 1 2025-12-04T09:41:28.2659119Z xfrm_algo 16384 1 xfrm_user 2025-12-04T09:41:28.2659464Z xt_addrtype 16384 2 2025-12-04T09:41:28.2659781Z nft_compat 20480 4 2025-12-04T09:41:28.2660179Z nf_tables 311296 57 nft_compat,nft_chain_nat 2025-12-04T09:41:28.2660701Z nfnetlink 20480 4 nft_compat,nf_conntrack_netlink,nf_tables 2025-12-04T09:41:28.2661166Z br_netfilter 36864 0 2025-12-04T09:41:28.2661507Z bridge 323584 1 br_netfilter 2025-12-04T09:41:28.2661875Z stp 16384 1 bridge 2025-12-04T09:41:28.2662210Z llc 16384 2 bridge,stp 2025-12-04T09:41:28.2662565Z overlay 167936 0 2025-12-04T09:41:28.2662872Z tls 139264 0 2025-12-04T09:41:28.2663167Z nls_ascii 16384 1 2025-12-04T09:41:28.2663478Z nls_cp437 20480 1 2025-12-04T09:41:28.2663786Z vfat 24576 1 2025-12-04T09:41:28.2664093Z fat 86016 1 vfat 2025-12-04T09:41:28.2664408Z sunrpc 700416 1 2025-12-04T09:41:28.2664711Z i8042 45056 0 2025-12-04T09:41:28.2665010Z ena 184320 0 2025-12-04T09:41:28.2665304Z serio 28672 3 i8042 2025-12-04T09:41:28.2665642Z skx_edac_common 28672 0 2025-12-04T09:41:28.2665951Z button 24576 0 2025-12-04T09:41:28.2666256Z ghash_clmulni_intel 16384 0 2025-12-04T09:41:28.2666582Z sch_fq_codel 20480 17 2025-12-04T09:41:28.2666895Z fuse 184320 1 2025-12-04T09:41:28.2667183Z dm_mod 188416 0 2025-12-04T09:41:28.2667485Z configfs 57344 1 2025-12-04T09:41:28.2667786Z loop 36864 0 2025-12-04T09:41:28.2668075Z dmi_sysfs 20480 0 2025-12-04T09:41:28.2668387Z crc32_pclmul 16384 0 2025-12-04T09:41:28.2668694Z crc32c_intel 24576 0 2025-12-04T09:41:28.2668995Z efivarfs 24576 1 2025-12-04T09:41:28.2669303Z + modinfo nvidia 2025-12-04T09:41:28.2670963Z filename: /lib/modules/6.1.150-174.273.amzn2023.x86_64/kernel/drivers/video/nvidia.ko 2025-12-04T09:41:28.2671893Z firmware: nvidia/525.105.17/gsp_tu10x.bin 2025-12-04T09:41:28.2672306Z firmware: nvidia/525.105.17/gsp_ad10x.bin 2025-12-04T09:41:28.2672707Z alias: char-major-195-* 2025-12-04T09:41:28.2673171Z version: 525.105.17 2025-12-04T09:41:28.2673479Z supported: external 2025-12-04T09:41:28.2673762Z license: NVIDIA 2025-12-04T09:41:28.2674067Z srcversion: 98F82D76E0EF3952EEE57A7 2025-12-04T09:41:28.2674464Z alias: pci:v000010DEd*sv*sd*bc06sc80i00* 2025-12-04T09:41:28.2674877Z alias: pci:v000010DEd*sv*sd*bc03sc02i00* 2025-12-04T09:41:28.2675454Z alias: pci:v000010DEd*sv*sd*bc03sc00i00* 2025-12-04T09:41:28.2676265Z depends: i2c-core,drm 2025-12-04T09:41:28.2676614Z retpoline: Y 2025-12-04T09:41:28.2676884Z name: nvidia 2025-12-04T09:41:28.2677331Z vermagic: 6.1.150-174.273.amzn2023.x86_64 SMP preempt mod_unload modversions 2025-12-04T09:41:28.2677908Z parm: NvSwitchRegDwords:NvSwitch regkey (charp) 2025-12-04T09:41:28.2678466Z parm: NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp) 2025-12-04T09:41:28.2678987Z parm: NVreg_ResmanDebugLevel:int 2025-12-04T09:41:28.2679367Z parm: NVreg_RmLogonRC:int 2025-12-04T09:41:28.2679729Z parm: NVreg_ModifyDeviceFiles:int 2025-12-04T09:41:28.2680119Z parm: NVreg_DeviceFileUID:int 2025-12-04T09:41:28.2680494Z parm: NVreg_DeviceFileGID:int 2025-12-04T09:41:28.2680858Z parm: NVreg_DeviceFileMode:int 2025-12-04T09:41:28.2681302Z parm: NVreg_InitializeSystemMemoryAllocations:int 2025-12-04T09:41:28.2681780Z parm: NVreg_UsePageAttributeTable:int 2025-12-04T09:41:28.2682179Z parm: NVreg_EnablePCIeGen3:int 2025-12-04T09:41:28.2682659Z parm: NVreg_EnableMSI:int 2025-12-04T09:41:28.2683026Z parm: NVreg_TCEBypassMode:int 2025-12-04T09:41:28.2683424Z parm: NVreg_EnableStreamMemOPs:int 2025-12-04T09:41:28.2683857Z parm: NVreg_RestrictProfilingToAdminUsers:int 2025-12-04T09:41:28.2684347Z parm: NVreg_PreserveVideoMemoryAllocations:int 2025-12-04T09:41:28.2684822Z parm: NVreg_EnableS0ixPowerManagement:int 2025-12-04T09:41:28.2685323Z parm: NVreg_S0ixPowerManagementVideoMemoryThreshold:int 2025-12-04T09:41:28.2685828Z parm: NVreg_DynamicPowerManagement:int 2025-12-04T09:41:28.2686340Z parm: NVreg_DynamicPowerManagementVideoMemoryThreshold:int 2025-12-04T09:41:28.2686829Z parm: NVreg_EnableGpuFirmware:int 2025-12-04T09:41:28.2687243Z parm: NVreg_EnableGpuFirmwareLogs:int 2025-12-04T09:41:28.2687695Z parm: NVreg_OpenRmEnableUnsupportedGpus:int 2025-12-04T09:41:28.2688153Z parm: NVreg_EnableUserNUMAManagement:int 2025-12-04T09:41:28.2688563Z parm: NVreg_MemoryPoolSize:int 2025-12-04T09:41:28.2688958Z parm: NVreg_KMallocHeapMaxSize:int 2025-12-04T09:41:28.2689373Z parm: NVreg_VMallocHeapMaxSize:int 2025-12-04T09:41:28.2689759Z parm: NVreg_IgnoreMMIOCheck:int 2025-12-04T09:41:28.2690139Z parm: NVreg_NvLinkDisable:int 2025-12-04T09:41:28.2690570Z parm: NVreg_EnablePCIERelaxedOrderingMode:int 2025-12-04T09:41:28.2691011Z parm: NVreg_RegisterPCIDriver:int 2025-12-04T09:41:28.2691420Z parm: NVreg_EnableDbgBreakpoint:int 2025-12-04T09:41:28.2691825Z parm: NVreg_RegistryDwords:charp 2025-12-04T09:41:28.2692232Z parm: NVreg_RegistryDwordsPerDevice:charp 2025-12-04T09:41:28.2692646Z parm: NVreg_RmMsg:charp 2025-12-04T09:41:28.2693006Z parm: NVreg_GpuBlacklist:charp 2025-12-04T09:41:28.2693411Z parm: NVreg_TemporaryFilePath:charp 2025-12-04T09:41:28.2693802Z parm: NVreg_ExcludedGpus:charp 2025-12-04T09:41:28.2694199Z parm: NVreg_DmaRemapPeerMmio:int 2025-12-04T09:41:28.2694587Z parm: rm_firmware_active:charp 2025-12-04T09:41:28.2694932Z + set +e 2025-12-04T09:41:28.2695169Z + nvidia-smi 2025-12-04T09:41:30.2357369Z Thu Dec 4 09:41:30 2025 2025-12-04T09:41:30.2357855Z +-----------------------------------------------------------------------------+ 2025-12-04T09:41:30.2358463Z | NVIDIA-SMI 525.105.17 Driver Version: 525.105.17 CUDA Version: 12.0 | 2025-12-04T09:41:30.2359358Z |-------------------------------+----------------------+----------------------+ 2025-12-04T09:41:30.2359952Z | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-12-04T09:41:30.2360601Z | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | 2025-12-04T09:41:30.2361110Z | | | MIG M. | 2025-12-04T09:41:30.2361517Z |===============================+======================+======================| 2025-12-04T09:41:30.2436175Z | 0 Tesla T4 Off | 00000000:00:1E.0 Off | 0 | 2025-12-04T09:41:30.2436707Z | N/A 28C P0 26W / 70W | 2MiB / 15360MiB | 4% Default | 2025-12-04T09:41:30.2437166Z | | | N/A | 2025-12-04T09:41:30.2437634Z +-------------------------------+----------------------+----------------------+ 2025-12-04T09:41:30.2438122Z 2025-12-04T09:41:30.2438582Z +-----------------------------------------------------------------------------+ 2025-12-04T09:41:30.2439078Z | Processes: | 2025-12-04T09:41:30.2439602Z | GPU GI CI PID Type Process name GPU Memory | 2025-12-04T09:41:30.2440091Z | ID ID Usage | 2025-12-04T09:41:30.2440702Z |=============================================================================| 2025-12-04T09:41:30.2441225Z | No running processes found | 2025-12-04T09:41:30.2441788Z +-----------------------------------------------------------------------------+ 2025-12-04T09:41:30.6939729Z + nvidia-smi --query-gpu=gpu_name --format=csv,noheader --id=0 2025-12-04T09:41:32.6651641Z Tesla T4 2025-12-04T09:41:33.0918555Z + NVIDIA_SMI_STATUS=0 2025-12-04T09:41:33.0918960Z + '[' 0 -eq 0 ']' 2025-12-04T09:41:33.0919266Z + echo 'INFO: Ignoring allowed status 0' 2025-12-04T09:41:33.0919633Z + set -e 2025-12-04T09:41:33.0919874Z INFO: Ignoring allowed status 0 2025-12-04T09:41:33.0925508Z == Installing nvidia container toolkit for amzn2023 == 2025-12-04T09:41:33.0929822Z + sudo yum install -y yum-utils 2025-12-04T09:41:33.5806434Z Last metadata expiration check: 0:24:24 ago on Thu Dec 4 09:17:09 2025. 2025-12-04T09:41:33.6137386Z Package dnf-utils-4.3.0-13.amzn2023.0.5.noarch is already installed. 2025-12-04T09:41:33.6755968Z Dependencies resolved. 2025-12-04T09:41:33.7100325Z Nothing to do. 2025-12-04T09:41:33.7100938Z Complete! 2025-12-04T09:41:33.8206619Z + [[ amzn2023 == \a\m\z\n\2\0\2\3 ]] 2025-12-04T09:41:33.8207625Z + YUM_REPO_URL=https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo 2025-12-04T09:41:33.8208746Z + sudo yum-config-manager --add-repo https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo 2025-12-04T09:41:34.1829448Z Adding repo from: https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo 2025-12-04T09:41:34.2400880Z + 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 2025-12-04T09:41:34.8262920Z nvidia-container-toolkit 20 kB/s | 833 B 00:00 2025-12-04T09:41:34.9277986Z Dependencies resolved. 2025-12-04T09:41:34.9600485Z ================================================================================ 2025-12-04T09:41:34.9601337Z Package Arch Version Repository Size 2025-12-04T09:41:34.9601823Z ================================================================================ 2025-12-04T09:41:34.9602195Z Downgrading: 2025-12-04T09:41:34.9602651Z libnvidia-container-tools x86_64 1.17.8-1 nvidia-container-toolkit 40 k 2025-12-04T09:41:34.9603373Z libnvidia-container1 x86_64 1.17.8-1 nvidia-container-toolkit 1.0 M 2025-12-04T09:41:34.9604328Z nvidia-container-toolkit x86_64 1.17.8-1 nvidia-container-toolkit 1.2 M 2025-12-04T09:41:34.9605181Z nvidia-container-toolkit-base x86_64 1.17.8-1 nvidia-container-toolkit 5.8 M 2025-12-04T09:41:34.9606026Z 2025-12-04T09:41:34.9606135Z Transaction Summary 2025-12-04T09:41:34.9606439Z ================================================================================ 2025-12-04T09:41:34.9606980Z Downgrade 4 Packages 2025-12-04T09:41:34.9607334Z 2025-12-04T09:41:34.9607576Z Total download size: 8.0 M 2025-12-04T09:41:34.9607908Z Downloading Packages: 2025-12-04T09:41:34.9957207Z (1/4): libnvidia-container-tools-1.17.8-1.x86_6 1.2 MB/s | 40 kB 00:00 2025-12-04T09:41:35.0308469Z (2/4): libnvidia-container1-1.17.8-1.x86_64.rpm 14 MB/s | 1.0 MB 00:00 2025-12-04T09:41:35.0694567Z (3/4): nvidia-container-toolkit-1.17.8-1.x86_64 12 MB/s | 1.2 MB 00:00 2025-12-04T09:41:35.2091048Z (4/4): nvidia-container-toolkit-base-1.17.8-1.x 27 MB/s | 5.8 MB 00:00 2025-12-04T09:41:35.2102691Z -------------------------------------------------------------------------------- 2025-12-04T09:41:35.2107451Z Total 32 MB/s | 8.0 MB 00:00 2025-12-04T09:41:35.2110564Z Running transaction check 2025-12-04T09:41:35.2270252Z Transaction check succeeded. 2025-12-04T09:41:35.2270914Z Running transaction test 2025-12-04T09:41:35.2831290Z Transaction test succeeded. 2025-12-04T09:41:35.2837801Z Running transaction 2025-12-04T09:41:36.3747220Z Preparing : 1/1 2025-12-04T09:41:36.5280561Z Downgrading : nvidia-container-toolkit-base-1.17.8-1.x86_64 1/8 2025-12-04T09:41:36.5600886Z Downgrading : libnvidia-container1-1.17.8-1.x86_64 2/8 2025-12-04T09:41:36.6308889Z Running scriptlet: libnvidia-container1-1.17.8-1.x86_64 2/8 2025-12-04T09:41:36.7881102Z Downgrading : libnvidia-container-tools-1.17.8-1.x86_64 3/8 2025-12-04T09:41:36.8230007Z Downgrading : nvidia-container-toolkit-1.17.8-1.x86_64 4/8 2025-12-04T09:41:36.9076656Z Running scriptlet: nvidia-container-toolkit-1.17.8-1.x86_64 4/8 2025-12-04T09:41:36.9142119Z Running scriptlet: nvidia-container-toolkit-1.18.1-1.x86_64 5/8 2025-12-04T09:41:36.9143395Z Cleanup : nvidia-container-toolkit-1.18.1-1.x86_64 5/8 2025-12-04T09:41:36.9467378Z Running scriptlet: nvidia-container-toolkit-1.18.1-1.x86_64 5/8 2025-12-04T09:41:36.9522951Z Running scriptlet: libnvidia-container-tools-1.18.1-1.x86_64 6/8 2025-12-04T09:41:36.9524042Z Cleanup : libnvidia-container-tools-1.18.1-1.x86_64 6/8 2025-12-04T09:41:36.9861510Z Running scriptlet: libnvidia-container-tools-1.18.1-1.x86_64 6/8 2025-12-04T09:41:36.9922113Z Running scriptlet: libnvidia-container1-1.18.1-1.x86_64 7/8 2025-12-04T09:41:36.9923212Z Cleanup : libnvidia-container1-1.18.1-1.x86_64 7/8 2025-12-04T09:41:37.0254850Z Running scriptlet: libnvidia-container1-1.18.1-1.x86_64 7/8 2025-12-04T09:41:37.0317761Z Running scriptlet: nvidia-container-toolkit-base-1.18.1-1.x86_64 8/8 2025-12-04T09:41:37.0319197Z Cleanup : nvidia-container-toolkit-base-1.18.1-1.x86_64 8/8 2025-12-04T09:41:37.0726500Z Running scriptlet: nvidia-container-toolkit-base-1.18.1-1.x86_64 8/8 2025-12-04T09:41:37.1296318Z Running scriptlet: nvidia-container-toolkit-1.17.8-1.x86_64 8/8 2025-12-04T09:41:38.7378564Z Running scriptlet: nvidia-container-toolkit-base-1.18.1-1.x86_64 8/8 2025-12-04T09:41:38.7379360Z Verifying : libnvidia-container-tools-1.17.8-1.x86_64 1/8 2025-12-04T09:41:38.7380031Z Verifying : libnvidia-container-tools-1.18.1-1.x86_64 2/8 2025-12-04T09:41:38.7381047Z Verifying : libnvidia-container1-1.17.8-1.x86_64 3/8 2025-12-04T09:41:38.7381702Z Verifying : libnvidia-container1-1.18.1-1.x86_64 4/8 2025-12-04T09:41:38.7382359Z Verifying : nvidia-container-toolkit-1.17.8-1.x86_64 5/8 2025-12-04T09:41:38.7383006Z Verifying : nvidia-container-toolkit-1.18.1-1.x86_64 6/8 2025-12-04T09:41:38.7383674Z Verifying : nvidia-container-toolkit-base-1.17.8-1.x86_64 7/8 2025-12-04T09:41:38.9065612Z Verifying : nvidia-container-toolkit-base-1.18.1-1.x86_64 8/8================================================================================ 2025-12-04T09:41:38.9066330Z WARNING: 2025-12-04T09:41:38.9066634Z A newer release of "Amazon Linux" is available. 2025-12-04T09:41:38.9066923Z 2025-12-04T09:41:38.9067045Z Available Versions: 2025-12-04T09:41:38.9067224Z 2025-12-04T09:41:38.9067342Z Version 2023.9.20250929: 2025-12-04T09:41:38.9067725Z Run the following command to upgrade to 2023.9.20250929: 2025-12-04T09:41:38.9068047Z 2025-12-04T09:41:38.9068207Z dnf upgrade --releasever=2023.9.20250929 2025-12-04T09:41:38.9068469Z 2025-12-04T09:41:38.9068584Z Release notes: 2025-12-04T09:41:38.9069089Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20250929.html 2025-12-04T09:41:38.9069578Z 2025-12-04T09:41:38.9069684Z Version 2023.9.20251014: 2025-12-04T09:41:38.9070275Z Run the following command to upgrade to 2023.9.20251014: 2025-12-04T09:41:38.9070595Z 2025-12-04T09:41:38.9070732Z dnf upgrade --releasever=2023.9.20251014 2025-12-04T09:41:38.9071010Z 2025-12-04T09:41:38.9071112Z Release notes: 2025-12-04T09:41:38.9071616Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251014.html 2025-12-04T09:41:38.9072087Z 2025-12-04T09:41:38.9072206Z Version 2023.9.20251020: 2025-12-04T09:41:38.9072574Z Run the following command to upgrade to 2023.9.20251020: 2025-12-04T09:41:38.9072909Z 2025-12-04T09:41:38.9073044Z dnf upgrade --releasever=2023.9.20251020 2025-12-04T09:41:38.9073308Z 2025-12-04T09:41:38.9073420Z Release notes: 2025-12-04T09:41:38.9073900Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251020.html 2025-12-04T09:41:38.9074379Z 2025-12-04T09:41:38.9074482Z Version 2023.9.20251027: 2025-12-04T09:41:38.9074862Z Run the following command to upgrade to 2023.9.20251027: 2025-12-04T09:41:38.9075174Z 2025-12-04T09:41:38.9075325Z dnf upgrade --releasever=2023.9.20251027 2025-12-04T09:41:38.9075647Z 2025-12-04T09:41:38.9075747Z Release notes: 2025-12-04T09:41:38.9076243Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251027.html 2025-12-04T09:41:38.9076723Z 2025-12-04T09:41:38.9076827Z Version 2023.9.20251105: 2025-12-04T09:41:38.9077206Z Run the following command to upgrade to 2023.9.20251105: 2025-12-04T09:41:38.9077531Z 2025-12-04T09:41:38.9077666Z dnf upgrade --releasever=2023.9.20251105 2025-12-04T09:41:38.9077939Z 2025-12-04T09:41:38.9078039Z Release notes: 2025-12-04T09:41:38.9078528Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251105.html 2025-12-04T09:41:38.9078992Z 2025-12-04T09:41:38.9079095Z Version 2023.9.20251110: 2025-12-04T09:41:38.9079475Z Run the following command to upgrade to 2023.9.20251110: 2025-12-04T09:41:38.9079801Z 2025-12-04T09:41:38.9079933Z dnf upgrade --releasever=2023.9.20251110 2025-12-04T09:41:38.9080196Z 2025-12-04T09:41:38.9080308Z Release notes: 2025-12-04T09:41:38.9080781Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251110.html 2025-12-04T09:41:38.9081256Z 2025-12-04T09:41:38.9081357Z Version 2023.9.20251117: 2025-12-04T09:41:38.9081737Z Run the following command to upgrade to 2023.9.20251117: 2025-12-04T09:41:38.9082047Z 2025-12-04T09:41:38.9082194Z dnf upgrade --releasever=2023.9.20251117 2025-12-04T09:41:38.9082607Z 2025-12-04T09:41:38.9082710Z Release notes: 2025-12-04T09:41:38.9083204Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251117.html 2025-12-04T09:41:38.9083668Z 2025-12-04T09:41:38.9083820Z ================================================================================ 2025-12-04T09:41:38.9736577Z 2025-12-04T09:41:38.9736750Z 2025-12-04T09:41:38.9736848Z Downgraded: 2025-12-04T09:41:38.9737302Z libnvidia-container-tools-1.17.8-1.x86_64 2025-12-04T09:41:38.9738030Z libnvidia-container1-1.17.8-1.x86_64 2025-12-04T09:41:38.9738707Z nvidia-container-toolkit-1.17.8-1.x86_64 2025-12-04T09:41:38.9739431Z nvidia-container-toolkit-base-1.17.8-1.x86_64 2025-12-04T09:41:38.9739865Z 2025-12-04T09:41:38.9739976Z Complete! 2025-12-04T09:41:39.0292539Z + sudo systemctl restart docker 2025-12-04T09:41:45.5521824Z Thu Dec 4 09:41:45 2025 2025-12-04T09:41:45.5522308Z +-----------------------------------------------------------------------------+ 2025-12-04T09:41:45.5522903Z | NVIDIA-SMI 525.105.17 Driver Version: 525.105.17 CUDA Version: 12.0 | 2025-12-04T09:41:45.5523497Z |-------------------------------+----------------------+----------------------+ 2025-12-04T09:41:45.5524111Z | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-12-04T09:41:45.5525848Z | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | 2025-12-04T09:41:45.5526413Z | | | MIG M. | 2025-12-04T09:41:45.5526825Z |===============================+======================+======================| 2025-12-04T09:41:45.5623295Z | 0 Tesla T4 On | 00000000:00:1E.0 Off | 0 | 2025-12-04T09:41:45.5623812Z | N/A 28C P0 25W / 70W | 2MiB / 15360MiB | 8% Default | 2025-12-04T09:41:45.5624294Z | | | N/A | 2025-12-04T09:41:45.5624759Z +-------------------------------+----------------------+----------------------+ 2025-12-04T09:41:45.5625237Z 2025-12-04T09:41:45.5625679Z +-----------------------------------------------------------------------------+ 2025-12-04T09:41:45.5626189Z | Processes: | 2025-12-04T09:41:45.5626716Z | GPU GI CI PID Type Process name GPU Memory | 2025-12-04T09:41:45.5627190Z | ID ID Usage | 2025-12-04T09:41:45.5627605Z |=============================================================================| 2025-12-04T09:41:45.5628115Z | No running processes found | 2025-12-04T09:41:45.5628678Z +-----------------------------------------------------------------------------+ 2025-12-04T09:41:45.6355956Z Unable to find image 'public.ecr.aws/docker/library/python:3.13' locally 2025-12-04T09:41:45.8540638Z 3.13: Pulling from docker/library/python 2025-12-04T09:41:45.9289026Z 53c88f1dfeb7: Pulling fs layer 2025-12-04T09:41:45.9289455Z eae668646f44: Pulling fs layer 2025-12-04T09:41:45.9289780Z ff2e6e687b6c: Pulling fs layer 2025-12-04T09:41:45.9290111Z 7c40a3faff76: Pulling fs layer 2025-12-04T09:41:45.9290437Z 967a3b1c8fef: Pulling fs layer 2025-12-04T09:41:45.9290801Z a64e1a44f22a: Pulling fs layer 2025-12-04T09:41:45.9291130Z 52655f8a5bcc: Pulling fs layer 2025-12-04T09:41:45.9291432Z 7c40a3faff76: Waiting 2025-12-04T09:41:45.9291716Z 967a3b1c8fef: Waiting 2025-12-04T09:41:45.9291996Z a64e1a44f22a: Waiting 2025-12-04T09:41:45.9292255Z 52655f8a5bcc: Waiting 2025-12-04T09:41:46.0931761Z eae668646f44: Verifying Checksum 2025-12-04T09:41:46.0932197Z eae668646f44: Download complete 2025-12-04T09:41:46.2077964Z 53c88f1dfeb7: Verifying Checksum 2025-12-04T09:41:46.2078633Z 53c88f1dfeb7: Download complete 2025-12-04T09:41:46.2893251Z ff2e6e687b6c: Verifying Checksum 2025-12-04T09:41:46.2893799Z ff2e6e687b6c: Download complete 2025-12-04T09:41:46.3002269Z 967a3b1c8fef: Verifying Checksum 2025-12-04T09:41:46.3002842Z 967a3b1c8fef: Download complete 2025-12-04T09:41:46.3452637Z 52655f8a5bcc: Download complete 2025-12-04T09:41:46.4809059Z a64e1a44f22a: Verifying Checksum 2025-12-04T09:41:46.4809633Z a64e1a44f22a: Download complete 2025-12-04T09:41:47.2682351Z 7c40a3faff76: Verifying Checksum 2025-12-04T09:41:47.2683063Z 7c40a3faff76: Download complete 2025-12-04T09:41:47.6795830Z 53c88f1dfeb7: Pull complete 2025-12-04T09:41:48.2958002Z eae668646f44: Pull complete 2025-12-04T09:41:50.3015965Z ff2e6e687b6c: Pull complete 2025-12-04T09:41:56.1461561Z 7c40a3faff76: Pull complete 2025-12-04T09:41:56.3796901Z 967a3b1c8fef: Pull complete 2025-12-04T09:41:57.0334615Z a64e1a44f22a: Pull complete 2025-12-04T09:41:57.0552868Z 52655f8a5bcc: Pull complete 2025-12-04T09:41:57.0685707Z Digest: sha256:3f986299a7b8b44b0d8cf9bda2b22361ce5c3058ef5d7cb17fb7452506680ab0 2025-12-04T09:41:57.0725387Z Status: Downloaded newer image for public.ecr.aws/docker/library/python:3.13 2025-12-04T09:42:04.1979300Z Thu Dec 4 09:42:04 2025 2025-12-04T09:42:04.1979800Z +-----------------------------------------------------------------------------+ 2025-12-04T09:42:04.1981434Z | NVIDIA-SMI 525.105.17 Driver Version: 525.105.17 CUDA Version: 12.0 | 2025-12-04T09:42:04.1982710Z |-------------------------------+----------------------+----------------------+ 2025-12-04T09:42:04.1983615Z | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-12-04T09:42:04.1984603Z | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | 2025-12-04T09:42:04.1985410Z | | | MIG M. | 2025-12-04T09:42:04.1986022Z |===============================+======================+======================| 2025-12-04T09:42:04.2130059Z | 0 Tesla T4 On | 00000000:00:1E.0 Off | 0 | 2025-12-04T09:42:04.2130639Z | N/A 26C P8 10W / 70W | 2MiB / 15360MiB | 0% Default | 2025-12-04T09:42:04.2131118Z | | | N/A | 2025-12-04T09:42:04.2131581Z +-------------------------------+----------------------+----------------------+ 2025-12-04T09:42:04.2132088Z 2025-12-04T09:42:04.2132549Z +-----------------------------------------------------------------------------+ 2025-12-04T09:42:04.2133055Z | Processes: | 2025-12-04T09:42:04.2133562Z | GPU GI CI PID Type Process name GPU Memory | 2025-12-04T09:42:04.2134051Z | ID ID Usage | 2025-12-04T09:42:04.2134483Z |=============================================================================| 2025-12-04T09:42:04.2135001Z | No running processes found | 2025-12-04T09:42:04.2135546Z +-----------------------------------------------------------------------------+ 2025-12-04T09:42:05.1880086Z Command completed after 1 attempt(s). 2025-12-04T09:42:05.1995337Z Prepare all required actions 2025-12-04T09:42:05.2030230Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-12-04T09:42:05.2030625Z with: 2025-12-04T09:42:05.2031330Z github-token: *** 2025-12-04T09:42:05.2031596Z env: 2025-12-04T09:42:05.2031826Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:42:05.2032140Z HAS_NVIDIA_GPU: true 2025-12-04T09:42:05.2032506Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:42:05.2032926Z ##[endgroup] 2025-12-04T09:42:05.2048753Z ##[group]Run set -eux 2025-12-04T09:42:05.2049044Z set -eux 2025-12-04T09:42:05.2049756Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-12-04T09:42:05.2061141Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:42:05.2061577Z env: 2025-12-04T09:42:05.2061829Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:42:05.2062138Z HAS_NVIDIA_GPU: true 2025-12-04T09:42:05.2062554Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:42:05.2063179Z GITHUB_TOKEN: *** 2025-12-04T09:42:05.2063440Z ##[endgroup] 2025-12-04T09:42:05.2099657Z + python3 .github/scripts/get_workflow_job_id.py 19922826259 i-0081c2223e23d2b92 2025-12-04T09:42:07.4742699Z Setting output job-id=57119749258 2025-12-04T09:42:07.4743882Z Setting output job-name=linux-jammy-cuda12.4-py3.10-gcc11 / test (legacy_nvidia_driver, 1, 5, linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests, unstable) 2025-12-04T09:42:07.4874072Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-12-04T09:42:07.4874970Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-12-04T09:42:07.4876207Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-12-04T09:42:07.4877207Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:42:07.4885195Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:42:07.4885635Z env: 2025-12-04T09:42:07.4885885Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:42:07.4886186Z HAS_NVIDIA_GPU: true 2025-12-04T09:42:07.4886551Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:42:07.4886970Z JOB_ID: 57119749258 2025-12-04T09:42:07.4887765Z JOB_NAME: linux-jammy-cuda12.4-py3.10-gcc11 / test (legacy_nvidia_driver, 1, 5, linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests, unstable) 2025-12-04T09:42:07.4888592Z WORKFLOW_NAME: periodic 2025-12-04T09:42:07.4888891Z WORKFLOW_RUN_ID: 19922826259 2025-12-04T09:42:07.4889229Z MONITOR_LOG_INTERVAL: 5 2025-12-04T09:42:07.4889546Z MONITOR_DATA_COLLECT_INTERVAL: 1 2025-12-04T09:42:07.4889864Z ##[endgroup] 2025-12-04T09:42:07.8061621Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T09:42:08.2183331Z Collecting psutil==5.9.8 2025-12-04T09:42:08.2368331Z 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) 2025-12-04T09:42:08.3178886Z Collecting dataclasses_json==0.6.7 2025-12-04T09:42:08.3221029Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-12-04T09:42:08.3519830Z Collecting nvidia-ml-py==11.525.84 2025-12-04T09:42:08.3558155Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-12-04T09:42:08.4905202Z Collecting marshmallow<4.0.0,>=3.18.0 2025-12-04T09:42:08.4945803Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-12-04T09:42:08.5187386Z Collecting typing-inspect<1,>=0.4.0 2025-12-04T09:42:08.5224344Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-12-04T09:42:08.5829440Z Collecting packaging>=17.0 2025-12-04T09:42:08.5867452Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-12-04T09:42:08.6114520Z Collecting mypy-extensions>=0.3.0 2025-12-04T09:42:08.6151093Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-12-04T09:42:08.6678803Z Collecting typing-extensions>=3.7.4 2025-12-04T09:42:08.6716198Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-12-04T09:42:08.7723271Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json 2025-12-04T09:42:09.0815649Z 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 2025-12-04T09:42:09.2934475Z Prepare all required actions 2025-12-04T09:42:09.2934920Z Getting action download info 2025-12-04T09:42:09.5011922Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-12-04T09:42:09.7972401Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-12-04T09:42:10.1584835Z ##[group]Run ./.github/actions/download-build-artifacts 2025-12-04T09:42:10.1585267Z with: 2025-12-04T09:42:10.1585553Z name: linux-jammy-cuda12.4-py3.10-gcc11 2025-12-04T09:42:10.1585928Z s3-bucket: gha-artifacts 2025-12-04T09:42:10.1586227Z env: 2025-12-04T09:42:10.1586471Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:42:10.1586768Z HAS_NVIDIA_GPU: true 2025-12-04T09:42:10.1587142Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:42:10.1587564Z ##[endgroup] 2025-12-04T09:42:10.1621393Z ##[group]Run seemethere/download-artifact-s3@v4 2025-12-04T09:42:10.1621786Z with: 2025-12-04T09:42:10.1622132Z name: linux-jammy-cuda12.4-py3.10-gcc11 2025-12-04T09:42:10.1622606Z s3-bucket: gha-artifacts 2025-12-04T09:42:10.1622932Z region: us-east-1 2025-12-04T09:42:10.1623195Z env: 2025-12-04T09:42:10.1623436Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:42:10.1623755Z HAS_NVIDIA_GPU: true 2025-12-04T09:42:10.1624114Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:42:10.1624538Z ##[endgroup] 2025-12-04T09:42:10.6958644Z (node:68814) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-12-04T09:42:10.6959664Z 2025-12-04T09:42:10.6960027Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-12-04T09:42:10.6961112Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-12-04T09:42:10.6962279Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-12-04T09:42:10.9475218Z Found 1 objects with prefix pytorch/pytorch/19922826259/linux-jammy-cuda12.4-py3.10-gcc11/ 2025-12-04T09:42:10.9476155Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-12-04T09:42:17.6866466Z Finished download (1/1): 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2025-12-04T09:42:29.1005887Z HAS_NVIDIA_GPU: true 2025-12-04T09:42:29.1006416Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:42:29.1006827Z ##[endgroup] 2025-12-04T09:42:29.2816233Z ##[group]Run df -H 2025-12-04T09:42:29.2816516Z df -H 2025-12-04T09:42:29.2823222Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:42:29.2823668Z env: 2025-12-04T09:42:29.2823910Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:42:29.2824214Z HAS_NVIDIA_GPU: true 2025-12-04T09:42:29.2824575Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:42:29.2824978Z ##[endgroup] 2025-12-04T09:42:29.2871812Z Filesystem Size Used Avail Use% Mounted on 2025-12-04T09:42:29.2872257Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-12-04T09:42:29.2872653Z tmpfs 34G 0 34G 0% /dev/shm 2025-12-04T09:42:29.2873047Z tmpfs 14G 562k 14G 1% /run 2025-12-04T09:42:29.2873409Z /dev/nvme0n1p1 161G 51G 111G 32% / 2025-12-04T09:42:29.2873786Z tmpfs 34G 17k 34G 1% /tmp 2025-12-04T09:42:29.2874210Z /dev/nvme0n1p128 11M 1.4M 9.2M 13% /boot/efi 2025-12-04T09:42:29.2874783Z tmpfs 6.7G 0 6.7G 0% /run/user/0 2025-12-04T09:42:29.2913246Z Prepare all required actions 2025-12-04T09:42:29.2914134Z Getting action download info 2025-12-04T09:42:29.4513626Z ##[group]Run ./.github/actions/download-td-artifacts 2025-12-04T09:42:29.4514040Z with: 2025-12-04T09:42:29.4514273Z env: 2025-12-04T09:42:29.4514500Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:42:29.4514808Z HAS_NVIDIA_GPU: true 2025-12-04T09:42:29.4515181Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:42:29.4515655Z ##[endgroup] 2025-12-04T09:42:29.4547041Z ##[group]Run seemethere/download-artifact-s3@v4 2025-12-04T09:42:29.4547444Z with: 2025-12-04T09:42:29.4547698Z name: td_results 2025-12-04T09:42:29.4547969Z s3-bucket: gha-artifacts 2025-12-04T09:42:29.4548283Z region: us-east-1 2025-12-04T09:42:29.4548550Z env: 2025-12-04T09:42:29.4548781Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:42:29.4549093Z HAS_NVIDIA_GPU: true 2025-12-04T09:42:29.4549462Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:42:29.4549962Z ##[endgroup] 2025-12-04T09:42:30.0046172Z (node:68837) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-12-04T09:42:30.0046772Z 2025-12-04T09:42:30.0047008Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-12-04T09:42:30.0047632Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-12-04T09:42:30.0048283Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-12-04T09:42:30.1152850Z Found 1 objects with prefix pytorch/pytorch/19922826259/td_results/ 2025-12-04T09:42:30.1153596Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json 2025-12-04T09:42:30.1660062Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json 2025-12-04T09:42:30.1666224Z Artifact download has finished successfully 2025-12-04T09:42:30.1847179Z ##[group]Run mkdir -p .additional_ci_files 2025-12-04T09:42:30.1847627Z mkdir -p .additional_ci_files 2025-12-04T09:42:30.1848150Z mv td_results.json .additional_ci_files/td_results.json || true 2025-12-04T09:42:30.1855895Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:42:30.1856324Z env: 2025-12-04T09:42:30.1856576Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:42:30.1856884Z HAS_NVIDIA_GPU: true 2025-12-04T09:42:30.1857234Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:42:30.1857647Z ##[endgroup] 2025-12-04T09:42:30.1999112Z ##[group]Run .github/scripts/parse_ref.py 2025-12-04T09:42:30.1999548Z .github/scripts/parse_ref.py 2025-12-04T09:42:30.2006218Z shell: /usr/bin/bash -e {0} 2025-12-04T09:42:30.2006518Z env: 2025-12-04T09:42:30.2006764Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:42:30.2007072Z HAS_NVIDIA_GPU: true 2025-12-04T09:42:30.2007425Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:42:30.2007844Z ##[endgroup] 2025-12-04T09:42:30.2243640Z Setting output branch=main 2025-12-04T09:42:30.2391622Z Prepare all required actions 2025-12-04T09:42:30.2392076Z Getting action download info 2025-12-04T09:42:30.3768576Z ##[group]Run ./.github/actions/filter-test-configs 2025-12-04T09:42:30.3768985Z with: 2025-12-04T09:42:30.3769432Z github-token: *** 2025-12-04T09:42:30.3776465Z test-matrix: {"include": [{"config": "legacy_nvidia_driver", "shard": 1, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 1, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 2, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 2, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 3, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 3, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 4, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 4, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 5, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 5, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}]} 2025-12-04T09:42:30.3784220Z job-name: linux-jammy-cuda12.4-py3.10-gcc11 / test (legacy_nvidia_driver, 1, 5, linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests, unstable) 2025-12-04T09:42:30.3785032Z env: 2025-12-04T09:42:30.3785280Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:42:30.3785580Z HAS_NVIDIA_GPU: true 2025-12-04T09:42:30.3785947Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:42:30.3786365Z ##[endgroup] 2025-12-04T09:42:30.3826888Z ##[group]Run nick-fields/retry@v3.0.0 2025-12-04T09:42:30.3827225Z with: 2025-12-04T09:42:30.3827459Z shell: bash 2025-12-04T09:42:30.3827713Z timeout_minutes: 10 2025-12-04T09:42:30.3827995Z max_attempts: 5 2025-12-04T09:42:30.3828250Z retry_wait_seconds: 30 2025-12-04T09:42:30.3829190Z 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 2025-12-04T09:42:30.3830211Z polling_interval_seconds: 1 2025-12-04T09:42:30.3830537Z warning_on_retry: true 2025-12-04T09:42:30.3830842Z continue_on_error: false 2025-12-04T09:42:30.3831139Z env: 2025-12-04T09:42:30.3831369Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:42:30.3831677Z HAS_NVIDIA_GPU: true 2025-12-04T09:42:30.3832040Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:42:30.3832645Z GITHUB_TOKEN: *** 2025-12-04T09:42:30.3832900Z ##[endgroup] 2025-12-04T09:42:30.4939014Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-12-04T09:42:30.7640923Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T09:42:30.8905117Z Collecting requests==2.27.1 2025-12-04T09:42:30.9084824Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-12-04T09:42:31.1115610Z Collecting pyyaml==6.0.2 2025-12-04T09:42:31.1159269Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB) 2025-12-04T09:42:31.1446251Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-12-04T09:42:31.5881205Z Collecting charset-normalizer~=2.0.0 2025-12-04T09:42:31.5925196Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-12-04T09:42:31.5980020Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-12-04T09:42:31.6522275Z Collecting certifi>=2017.4.17 2025-12-04T09:42:31.6566498Z Downloading certifi-2025.11.12-py3-none-any.whl (159 kB) 2025-12-04T09:42:31.7587037Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-12-04T09:42:31.8911817Z Successfully installed certifi-2025.11.12 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-12-04T09:42:32.4745634Z Command completed after 1 attempt(s). 2025-12-04T09:42:32.4796351Z ##[group]Run set -x 2025-12-04T09:42:32.4796639Z set -x 2025-12-04T09:42:32.4796895Z  2025-12-04T09:42:32.4797369Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-12-04T09:42:32.4797937Z # in runner workspace 2025-12-04T09:42:32.4798384Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-12-04T09:42:32.4806243Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:42:32.4806684Z env: 2025-12-04T09:42:32.4806924Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:42:32.4807230Z HAS_NVIDIA_GPU: true 2025-12-04T09:42:32.4807593Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:42:32.4807996Z ##[endgroup] 2025-12-04T09:42:32.4836197Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-12-04T09:42:32.5049587Z Setting output branch=main 2025-12-04T09:42:32.5107167Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-12-04T09:42:32.5107656Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-12-04T09:42:32.5108075Z echo "Job name: ${JOB_NAME}" 2025-12-04T09:42:32.5108434Z  2025-12-04T09:42:32.5108872Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-12-04T09:42:32.5109441Z # in runner workspace 2025-12-04T09:42:32.5109930Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-12-04T09:42:32.5110503Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-12-04T09:42:32.5110899Z  --job-name "${JOB_NAME}" \ 2025-12-04T09:42:32.5118452Z  --test-matrix "{"include": [{"config": "legacy_nvidia_driver", "shard": 1, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 1, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 2, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 2, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 3, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 3, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 4, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 4, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 5, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 5, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}]}" \ 2025-12-04T09:42:32.5125975Z  --selected-test-configs "" \ 2025-12-04T09:42:32.5126363Z  --pr-number "${PR_NUMBER}" \ 2025-12-04T09:42:32.5126736Z  --tag "${TAG}" \ 2025-12-04T09:42:32.5127080Z  --event-name "${EVENT_NAME}" \ 2025-12-04T09:42:32.5127461Z  --schedule "${SCHEDULE}" \ 2025-12-04T09:42:32.5127833Z  --branch "${HEAD_BRANCH}" 2025-12-04T09:42:32.5134545Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:42:32.5134989Z env: 2025-12-04T09:42:32.5135228Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:42:32.5135540Z HAS_NVIDIA_GPU: true 2025-12-04T09:42:32.5135904Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:42:32.5136571Z GITHUB_TOKEN: *** 2025-12-04T09:42:32.5137312Z JOB_NAME: linux-jammy-cuda12.4-py3.10-gcc11 / test (legacy_nvidia_driver, 1, 5, linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests, unstable) 2025-12-04T09:42:32.5138121Z PR_NUMBER: 2025-12-04T09:42:32.5138365Z TAG: 2025-12-04T09:42:32.5138588Z EVENT_NAME: schedule 2025-12-04T09:42:32.5138872Z SCHEDULE: 29 8 * * * 2025-12-04T09:42:32.5139150Z HEAD_BRANCH: main 2025-12-04T09:42:32.5139401Z ##[endgroup] 2025-12-04T09:42:32.5165937Z Workflow: periodic 2025-12-04T09:42:32.5166692Z Job name: linux-jammy-cuda12.4-py3.10-gcc11 / test (legacy_nvidia_driver, 1, 5, linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests, unstable) 2025-12-04T09:42:32.7246147Z Setting output keep-going=True 2025-12-04T09:42:32.7246592Z Setting output ci-verbose-test-logs=False 2025-12-04T09:42:32.7246992Z Setting output ci-test-showlocals=False 2025-12-04T09:42:32.7247391Z Setting output ci-no-test-timeout=False 2025-12-04T09:42:32.7247769Z Setting output ci-no-td=False 2025-12-04T09:42:32.7248178Z Setting output ci-td-distributed=False 2025-12-04T09:42:32.7248541Z Setting output is-unstable=True 2025-12-04T09:42:32.7248887Z Setting output reenabled-issues= 2025-12-04T09:42:32.7264682Z Setting output test-matrix={"include": [{"config": "legacy_nvidia_driver", "shard": 1, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 1, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "legacy_nvidia_driver", "shard": 1, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable", "mem_leak_check": "mem_leak_check"}, {"config": "legacy_nvidia_driver", "shard": 1, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 2, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 2, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "legacy_nvidia_driver", "shard": 2, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable", "mem_leak_check": "mem_leak_check"}, {"config": "legacy_nvidia_driver", "shard": 2, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 3, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 3, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "legacy_nvidia_driver", "shard": 3, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable", "mem_leak_check": "mem_leak_check"}, {"config": "legacy_nvidia_driver", "shard": 3, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 4, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 4, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "legacy_nvidia_driver", "shard": 4, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable", "mem_leak_check": "mem_leak_check"}, {"config": "legacy_nvidia_driver", "shard": 4, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 5, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 5, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "legacy_nvidia_driver", "shard": 5, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable", "mem_leak_check": "mem_leak_check"}, {"config": "legacy_nvidia_driver", "shard": 5, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}]} 2025-12-04T09:42:32.7280661Z Setting output is-test-matrix-empty=False 2025-12-04T09:42:32.7397735Z ##[group]Run echo "Filtered matrix:" 2025-12-04T09:42:32.7398186Z echo "Filtered matrix:" 2025-12-04T09:42:32.7414015Z echo "{"include": [{"config": "legacy_nvidia_driver", "shard": 1, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 1, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "legacy_nvidia_driver", "shard": 1, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable", "mem_leak_check": "mem_leak_check"}, {"config": "legacy_nvidia_driver", "shard": 1, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 2, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 2, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "legacy_nvidia_driver", "shard": 2, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable", "mem_leak_check": "mem_leak_check"}, {"config": "legacy_nvidia_driver", "shard": 2, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 3, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 3, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "legacy_nvidia_driver", "shard": 3, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable", "mem_leak_check": "mem_leak_check"}, {"config": "legacy_nvidia_driver", "shard": 3, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 4, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 4, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "legacy_nvidia_driver", "shard": 4, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable", "mem_leak_check": "mem_leak_check"}, {"config": "legacy_nvidia_driver", "shard": 4, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 5, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 5, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "legacy_nvidia_driver", "shard": 5, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable", "mem_leak_check": "mem_leak_check"}, {"config": "legacy_nvidia_driver", "shard": 5, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}]}" 2025-12-04T09:42:32.7429822Z  2025-12-04T09:42:32.7430063Z echo 2025-12-04T09:42:32.7430379Z echo "Is the current job unstable? True" 2025-12-04T09:42:32.7430755Z  2025-12-04T09:42:32.7430987Z echo 2025-12-04T09:42:32.7431279Z echo "Is keep-going label set? True" 2025-12-04T09:42:32.7431636Z  2025-12-04T09:42:32.7431866Z echo 2025-12-04T09:42:32.7432135Z echo "Reenabled issues? " 2025-12-04T09:42:32.7439144Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:42:32.7439594Z env: 2025-12-04T09:42:32.7439847Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:42:32.7440141Z HAS_NVIDIA_GPU: true 2025-12-04T09:42:32.7440505Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:42:32.7440923Z ##[endgroup] 2025-12-04T09:42:32.7467911Z Filtered matrix: 2025-12-04T09:42:32.7486798Z {include: [{config: legacy_nvidia_driver, shard: 1, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, mem_leak_check: mem_leak_check, unstable: unstable}, {config: legacy_nvidia_driver, shard: 1, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, mem_leak_check: mem_leak_check, unstable: unstable, rerun_disabled_tests: rerun_disabled_tests}, {config: legacy_nvidia_driver, shard: 1, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests, unstable: unstable, mem_leak_check: mem_leak_check}, {config: legacy_nvidia_driver, shard: 1, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests, unstable: unstable}, {config: legacy_nvidia_driver, shard: 2, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, mem_leak_check: mem_leak_check, unstable: unstable}, {config: legacy_nvidia_driver, shard: 2, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, mem_leak_check: mem_leak_check, unstable: unstable, rerun_disabled_tests: rerun_disabled_tests}, {config: legacy_nvidia_driver, shard: 2, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests, unstable: unstable, mem_leak_check: mem_leak_check}, {config: legacy_nvidia_driver, shard: 2, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests, unstable: unstable}, {config: legacy_nvidia_driver, shard: 3, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, mem_leak_check: mem_leak_check, unstable: unstable}, {config: legacy_nvidia_driver, shard: 3, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, mem_leak_check: mem_leak_check, unstable: unstable, rerun_disabled_tests: rerun_disabled_tests}, {config: legacy_nvidia_driver, shard: 3, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests, unstable: unstable, mem_leak_check: mem_leak_check}, {config: legacy_nvidia_driver, shard: 3, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests, unstable: unstable}, {config: legacy_nvidia_driver, shard: 4, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, mem_leak_check: mem_leak_check, unstable: unstable}, {config: legacy_nvidia_driver, shard: 4, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, mem_leak_check: mem_leak_check, unstable: unstable, rerun_disabled_tests: rerun_disabled_tests}, {config: legacy_nvidia_driver, shard: 4, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests, unstable: unstable, mem_leak_check: mem_leak_check}, {config: legacy_nvidia_driver, shard: 4, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests, unstable: unstable}, {config: legacy_nvidia_driver, shard: 5, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, mem_leak_check: mem_leak_check, unstable: unstable}, {config: legacy_nvidia_driver, shard: 5, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, mem_leak_check: mem_leak_check, unstable: unstable, rerun_disabled_tests: rerun_disabled_tests}, {config: legacy_nvidia_driver, shard: 5, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests, unstable: unstable, mem_leak_check: mem_leak_check}, {config: legacy_nvidia_driver, shard: 5, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests, unstable: unstable}]} 2025-12-04T09:42:32.7502363Z 2025-12-04T09:42:32.7502489Z Is the current job unstable? True 2025-12-04T09:42:32.7502738Z 2025-12-04T09:42:32.7502864Z Is keep-going label set? True 2025-12-04T09:42:32.7503078Z 2025-12-04T09:42:32.7503195Z Reenabled issues? 2025-12-04T09:42:32.7538976Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-12-04T09:42:32.7539592Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-12-04T09:42:32.7545966Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:42:32.7546391Z env: 2025-12-04T09:42:32.7546641Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:42:32.7546965Z HAS_NVIDIA_GPU: true 2025-12-04T09:42:32.7547316Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:42:32.7547738Z JOB_TIMEOUT: 240 2025-12-04T09:42:32.7548004Z ##[endgroup] 2025-12-04T09:42:32.7600423Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:42:32.7601101Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:42:32.7601646Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:42:32.7607740Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:42:32.7608174Z env: 2025-12-04T09:42:32.7608419Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:42:32.7608727Z HAS_NVIDIA_GPU: true 2025-12-04T09:42:32.7609074Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:42:32.7609496Z ##[endgroup] 2025-12-04T09:42:32.7714525Z ##[group]Run set -x 2025-12-04T09:42:32.7714904Z set -x 2025-12-04T09:42:32.7715161Z  2025-12-04T09:42:32.7715692Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-12-04T09:42:32.7716147Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-12-04T09:42:32.7716616Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-12-04T09:42:32.7717041Z  TEST_COMMAND=.ci/onnx/test.sh 2025-12-04T09:42:32.7717389Z else 2025-12-04T09:42:32.7717665Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-12-04T09:42:32.7718023Z fi 2025-12-04T09:42:32.7718260Z  2025-12-04T09:42:32.7718549Z # Leaving 1GB for the runner and other things 2025-12-04T09:42:32.7719232Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-12-04T09:42:32.7720274Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-12-04T09:42:32.7721095Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-12-04T09:42:32.7721726Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-12-04T09:42:32.7722212Z  2025-12-04T09:42:32.7722518Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-12-04T09:42:32.7722916Z  SHM_OPTS= 2025-12-04T09:42:32.7723207Z  JENKINS_USER= 2025-12-04T09:42:32.7723615Z  # ensure that docker container cleanly exits in 12 hours 2025-12-04T09:42:32.7724163Z  # if for some reason cleanup action doesn't stop container 2025-12-04T09:42:32.7724712Z  # when job is cancelled 2025-12-04T09:42:32.7725113Z  DOCKER_SHELL_CMD="sleep 12h" 2025-12-04T09:42:32.7725490Z  USED_IMAGE="${DOCKER_IMAGE_S390X}" 2025-12-04T09:42:32.7725854Z else 2025-12-04T09:42:32.7726139Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-12-04T09:42:32.7726538Z  JENKINS_USER="--user jenkins" 2025-12-04T09:42:32.7726888Z  DOCKER_SHELL_CMD= 2025-12-04T09:42:32.7727221Z  USED_IMAGE="${DOCKER_IMAGE}" 2025-12-04T09:42:32.7727576Z fi 2025-12-04T09:42:32.7727801Z  2025-12-04T09:42:32.7728193Z # detached container should get cleaned up by teardown_ec2_linux 2025-12-04T09:42:32.7728826Z # TODO: Stop building test binaries as part of the build phase 2025-12-04T09:42:32.7729548Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-12-04T09:42:32.7730171Z # shellcheck disable=SC2086,SC2090 2025-12-04T09:42:32.7730564Z container_name=$(docker run \ 2025-12-04T09:42:32.7730924Z  ${GPU_FLAG:-} \ 2025-12-04T09:42:32.7731264Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-12-04T09:42:32.7731669Z  -e BUILD_ENVIRONMENT \ 2025-12-04T09:42:32.7732010Z  -e PR_NUMBER \ 2025-12-04T09:42:32.7732317Z  -e GITHUB_ACTIONS \ 2025-12-04T09:42:32.7732650Z  -e GITHUB_REPOSITORY \ 2025-12-04T09:42:32.7733005Z  -e GITHUB_WORKFLOW \ 2025-12-04T09:42:32.7733333Z  -e GITHUB_JOB \ 2025-12-04T09:42:32.7733634Z  -e GITHUB_RUN_ID \ 2025-12-04T09:42:32.7733963Z  -e GITHUB_RUN_NUMBER \ 2025-12-04T09:42:32.7734310Z  -e GITHUB_RUN_ATTEMPT \ 2025-12-04T09:42:32.7734637Z  -e JOB_ID \ 2025-12-04T09:42:32.7734933Z  -e JOB_NAME \ 2025-12-04T09:42:32.7735258Z  -e BASE_SHA \ 2025-12-04T09:42:32.7735634Z  -e BRANCH \ 2025-12-04T09:42:32.7735927Z  -e SHA1 \ 2025-12-04T09:42:32.7736216Z  -e AWS_DEFAULT_REGION \ 2025-12-04T09:42:32.7736544Z  -e IN_WHEEL_TEST \ 2025-12-04T09:42:32.7736865Z  -e SHARD_NUMBER \ 2025-12-04T09:42:32.7737180Z  -e TEST_CONFIG \ 2025-12-04T09:42:32.7737501Z  -e NUM_TEST_SHARDS \ 2025-12-04T09:42:32.7737973Z  -e REENABLED_ISSUES \ 2025-12-04T09:42:32.7738335Z  -e CONTINUE_THROUGH_ERROR \ 2025-12-04T09:42:32.7738781Z  -e VERBOSE_TEST_LOGS \ 2025-12-04T09:42:32.7739113Z  -e TEST_SHOWLOCALS \ 2025-12-04T09:42:32.7739451Z  -e NO_TEST_TIMEOUT \ 2025-12-04T09:42:32.7739780Z  -e NO_TD \ 2025-12-04T09:42:32.7740062Z  -e TD_DISTRIBUTED \ 2025-12-04T09:42:32.7740394Z  -e PR_LABELS \ 2025-12-04T09:42:32.7740735Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-12-04T09:42:32.7741109Z  -e SCCACHE_BUCKET \ 2025-12-04T09:42:32.7741437Z  -e SCCACHE_REGION \ 2025-12-04T09:42:32.7741757Z  -e XLA_CUDA \ 2025-12-04T09:42:32.7742090Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-12-04T09:42:32.7742499Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-12-04T09:42:32.7742932Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-12-04T09:42:32.7743368Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-12-04T09:42:32.7743754Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-12-04T09:42:32.7744138Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-12-04T09:42:32.7744541Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-12-04T09:42:32.7744916Z  -e DASHBOARD_TAG \ 2025-12-04T09:42:32.7745238Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-12-04T09:42:32.7745659Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-12-04T09:42:32.7746147Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-12-04T09:42:32.7746620Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-12-04T09:42:32.7747082Z  --security-opt seccomp=unconfined \ 2025-12-04T09:42:32.7747479Z  --cap-add=SYS_PTRACE \ 2025-12-04T09:42:32.7747805Z  --ipc=host \ 2025-12-04T09:42:32.7748102Z  ${SHM_OPTS} \ 2025-12-04T09:42:32.7748389Z  --tty \ 2025-12-04T09:42:32.7748657Z  --detach \ 2025-12-04T09:42:32.7748952Z  --name="${container_name}" \ 2025-12-04T09:42:32.7749319Z  ${JENKINS_USER} \ 2025-12-04T09:42:32.7749730Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-12-04T09:42:32.7750185Z  -w /var/lib/jenkins/workspace \ 2025-12-04T09:42:32.7750551Z  "${USED_IMAGE}" \ 2025-12-04T09:42:32.7750870Z  ${DOCKER_SHELL_CMD} 2025-12-04T09:42:32.7751164Z ) 2025-12-04T09:42:32.7751548Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-12-04T09:42:32.7752027Z  2025-12-04T09:42:32.7752337Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-12-04T09:42:32.7753010Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-12-04T09:42:32.7753621Z fi 2025-12-04T09:42:32.7753856Z  2025-12-04T09:42:32.7754422Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-12-04T09:42:32.7761006Z shell: /usr/bin/bash -e {0} 2025-12-04T09:42:32.7761316Z env: 2025-12-04T09:42:32.7761556Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:42:32.7761868Z HAS_NVIDIA_GPU: true 2025-12-04T09:42:32.7762234Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:42:32.7762741Z BUILD_ENVIRONMENT: linux-jammy-cuda12.4-py3.10-gcc11 2025-12-04T09:42:32.7763143Z PR_NUMBER: 2025-12-04T09:42:32.7763424Z GITHUB_REPOSITORY: pytorch/pytorch 2025-12-04T09:42:32.7763783Z GITHUB_WORKFLOW: periodic 2025-12-04T09:42:32.7764075Z GITHUB_JOB: test 2025-12-04T09:42:32.7764348Z GITHUB_RUN_ID: 19922826259 2025-12-04T09:42:32.7764661Z GITHUB_RUN_NUMBER: 19107 2025-12-04T09:42:32.7764948Z GITHUB_RUN_ATTEMPT: 1 2025-12-04T09:42:32.7765230Z JOB_ID: 57119749258 2025-12-04T09:42:32.7765975Z JOB_NAME: linux-jammy-cuda12.4-py3.10-gcc11 / test (legacy_nvidia_driver, 1, 5, linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests, unstable) 2025-12-04T09:42:32.7766892Z BRANCH: main 2025-12-04T09:42:32.7767189Z SHA1: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:42:32.7767722Z BASE_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:42:32.7768141Z TEST_CONFIG: legacy_nvidia_driver 2025-12-04T09:42:32.7768488Z SHARD_NUMBER: 1 2025-12-04T09:42:32.7768738Z NUM_TEST_SHARDS: 5 2025-12-04T09:42:32.7769007Z EXTRA_FLAGS: 2025-12-04T09:42:32.7769265Z OP_BENCHMARK_TESTS: 2025-12-04T09:42:32.7769534Z REENABLED_ISSUES: 2025-12-04T09:42:32.7769822Z CONTINUE_THROUGH_ERROR: True 2025-12-04T09:42:32.7770144Z VERBOSE_TEST_LOGS: False 2025-12-04T09:42:32.7770436Z TEST_SHOWLOCALS: False 2025-12-04T09:42:32.7770730Z NO_TEST_TIMEOUT: False 2025-12-04T09:42:32.7771014Z NO_TD: False 2025-12-04T09:42:32.7771257Z TD_DISTRIBUTED: False 2025-12-04T09:42:32.7771616Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-12-04T09:42:32.7772034Z SCCACHE_REGION: us-east-1 2025-12-04T09:42:32.7772318Z SHM_SIZE: 2g 2025-12-04T09:42:32.7773241Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:42:32.7774936Z DOCKER_IMAGE_S390X: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:42:32.7775957Z XLA_CUDA: 2025-12-04T09:42:32.7776358Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-12-04T09:42:32.7776871Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-12-04T09:42:32.7777234Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 1 2025-12-04T09:42:32.7777573Z DASHBOARD_TAG: 2025-12-04T09:42:32.7778065Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-12-04T09:42:32.7778536Z HUGGING_FACE_HUB_TOKEN: *** 2025-12-04T09:42:32.7779007Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-12-04T09:42:32.7779618Z ARTIFACTS_FILE_SUFFIX: test-legacy_nvidia_driver-1-5-linux.g4dn.4xlarge.nvidia.gpu_57119749258 2025-12-04T09:42:32.7780245Z ##[endgroup] 2025-12-04T09:42:32.7806205Z + [[ legacy_nvidia_driver == \m\u\l\t\i\g\p\u ]] 2025-12-04T09:42:32.7806699Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *onnx* ]] 2025-12-04T09:42:32.7807118Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-12-04T09:42:32.7809883Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-12-04T09:42:32.7831763Z + TOTAL_AVAILABLE_MEMORY_IN_GB='61.094 ' 2025-12-04T09:42:32.7832170Z + TOTAL_MEMORY_WITH_SWAP=64 2025-12-04T09:42:32.7832562Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *\s\3\9\0\x* ]] 2025-12-04T09:42:32.7832972Z + SHM_OPTS=--shm-size=2g 2025-12-04T09:42:32.7833277Z + JENKINS_USER='--user jenkins' 2025-12-04T09:42:32.7833592Z + DOCKER_SHELL_CMD= 2025-12-04T09:42:32.7834500Z + USED_IMAGE=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:42:32.7841477Z +++ nproc --ignore=2 2025-12-04T09:42:32.7868948Z ++ docker run --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all -e BUILD_ENVIRONMENT -e PR_NUMBER -e GITHUB_ACTIONS -e GITHUB_REPOSITORY -e GITHUB_WORKFLOW -e GITHUB_JOB -e GITHUB_RUN_ID -e GITHUB_RUN_NUMBER -e GITHUB_RUN_ATTEMPT -e JOB_ID -e JOB_NAME -e BASE_SHA -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e TEST_CONFIG -e NUM_TEST_SHARDS -e REENABLED_ISSUES -e CONTINUE_THROUGH_ERROR -e VERBOSE_TEST_LOGS -e TEST_SHOWLOCALS -e NO_TEST_TIMEOUT -e NO_TD -e TD_DISTRIBUTED -e PR_LABELS -e MAX_JOBS=14 -e SCCACHE_BUCKET -e SCCACHE_REGION -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS -e SKIP_SCCACHE_INITIALIZATION=1 -e HUGGING_FACE_HUB_TOKEN -e VLLM_TEST_HUGGING_FACE_TOKEN -e SCRIBE_GRAPHQL_ACCESS_TOKEN -e DASHBOARD_TAG -e ARTIFACTS_FILE_SUFFIX --memory=61g --memory-swap=64g --env-file=/tmp/github_env_19922826259 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=2g --tty --detach --name= --user jenkins -v /home/ec2-user/actions-runner/_work/pytorch/pytorch:/var/lib/jenkins/workspace -w /var/lib/jenkins/workspace 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:42:41.1359337Z + container_name=1552b778ab47e45fc6b314dd7b21f15baa4dd289a9054e2e7f831fe869e92691 2025-12-04T09:42:41.1360226Z + echo DOCKER_CONTAINER_ID=1552b778ab47e45fc6b314dd7b21f15baa4dd289a9054e2e7f831fe869e92691 2025-12-04T09:42:41.1360934Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *\s\3\9\0\x* ]] 2025-12-04T09:42:41.1367620Z ++ echo dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl 2025-12-04T09:42:41.1370234Z + docker exec -t 1552b778ab47e45fc6b314dd7b21f15baa4dd289a9054e2e7f831fe869e92691 sh -c 'python3 -m pip install dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-12-04T09:42:41.6910745Z Processing ./dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl (from torch==2.10.0a0+gitffd9b0f) 2025-12-04T09:42:42.5696332Z 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) 2025-12-04T09:42:42.5702914Z 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) 2025-12-04T09:42:42.5710151Z 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) 2025-12-04T09:42:42.5717230Z 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) 2025-12-04T09:42:42.5723129Z 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) 2025-12-04T09:42:42.5730443Z 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) 2025-12-04T09:42:42.5747448Z 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) 2025-12-04T09:42:42.6179996Z 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) 2025-12-04T09:42:42.6205144Z 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) 2025-12-04T09:42:42.6273382Z 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) 2025-12-04T09:42:43.0546066Z Installing collected packages: torch 2025-12-04T09:42:55.4548677Z Successfully installed torch-2.10.0a0+gitffd9b0f 2025-12-04T09:42:55.5284742Z + export TERM=vt100 2025-12-04T09:42:55.5285199Z + TERM=vt100 2025-12-04T09:42:55.5288770Z ++ dirname .ci/pytorch/test.sh 2025-12-04T09:42:55.5297481Z + source .ci/pytorch/common.sh 2025-12-04T09:42:55.5301637Z +++ dirname .ci/pytorch/common.sh 2025-12-04T09:42:55.5308620Z ++ source .ci/pytorch/common_utils.sh 2025-12-04T09:42:55.5310095Z +++ declare -f -t trap_add 2025-12-04T09:42:55.5317275Z ++ set -ex -o pipefail 2025-12-04T09:42:55.5317709Z ++ [[ linux-jammy-cuda12.4-py3.10-gcc11 == *rocm* ]] 2025-12-04T09:42:55.5318131Z ++ BUILD_TEST_LIBTORCH=0 2025-12-04T09:42:55.5328188Z ++ dirname .ci/pytorch/test.sh 2025-12-04T09:42:55.5335666Z + source .ci/pytorch/common-build.sh 2025-12-04T09:42:55.5337514Z ++ [[ linux-jammy-cuda12.4-py3.10-gcc11 != *win-* ]] 2025-12-04T09:42:55.5344365Z ++++ dirname .ci/pytorch/common-build.sh 2025-12-04T09:42:55.5352311Z +++ cd .ci/pytorch 2025-12-04T09:42:55.5352596Z +++ pwd -P 2025-12-04T09:42:55.5360400Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-12-04T09:42:55.5361080Z ++ [[ linux-jammy-cuda12.4-py3.10-gcc11 == *-pch* ]] 2025-12-04T09:42:55.5361479Z ++ which sccache 2025-12-04T09:42:55.5381011Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-12-04T09:42:55.5381445Z ++ sccache --stop-server 2025-12-04T09:42:55.5408909Z ++ true 2025-12-04T09:42:55.5409247Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-12-04T09:42:55.5418044Z ++ trap_add sccache_epilogue EXIT 2025-12-04T09:42:55.5418464Z ++ trap_add_cmd=sccache_epilogue 2025-12-04T09:42:55.5418778Z ++ shift 2025-12-04T09:42:55.5419039Z ++ for trap_add_name in "$@" 2025-12-04T09:42:55.5425002Z ++++ trap -p EXIT 2025-12-04T09:42:55.5427603Z +++ eval 'extract_trap_cmd ' 2025-12-04T09:42:55.5428056Z ++++ extract_trap_cmd 2025-12-04T09:42:55.5428481Z ++++ printf '%s\n' '' 2025-12-04T09:42:55.5428826Z +++ printf '%s\n' sccache_epilogue 2025-12-04T09:42:55.5430490Z ++ trap -- ' 2025-12-04T09:42:55.5430867Z sccache_epilogue' EXIT 2025-12-04T09:42:55.5431261Z ++ [[ -n 1 ]] 2025-12-04T09:42:55.5431824Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-12-04T09:42:55.5432542Z Skipping sccache server initialization, setting environment variables 2025-12-04T09:42:55.5433078Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:42:55.5433409Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:42:55.5433819Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:42:55.5434340Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:42:55.5442310Z ++ export RUST_LOG=sccache::server=error 2025-12-04T09:42:55.5442754Z ++ RUST_LOG=sccache::server=error 2025-12-04T09:42:55.5443127Z ++ sccache --zero-stats 2025-12-04T09:42:55.6648490Z Statistics zeroed. 2025-12-04T09:42:55.6652752Z ++ which ccache 2025-12-04T09:42:55.6671745Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 != *rocm* ]] 2025-12-04T09:42:55.6672283Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 != *s390x* ]] 2025-12-04T09:42:55.6672717Z + [[ -d /var/lib/jenkins/workspace ]] 2025-12-04T09:42:55.6675707Z ++ stat -c %u /var/lib/jenkins/workspace 2025-12-04T09:42:55.6690047Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-12-04T09:42:55.6690706Z + trap_add cleanup_workspace EXIT 2025-12-04T09:42:55.6691298Z + trap_add_cmd=cleanup_workspace 2025-12-04T09:42:55.6693218Z + shift 2025-12-04T09:42:55.6693476Z + for trap_add_name in "$@" 2025-12-04T09:42:55.6698779Z +++ trap -p EXIT 2025-12-04T09:42:55.6701720Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-12-04T09:42:55.6702177Z sccache_epilogue'\'' EXIT' 2025-12-04T09:42:55.6702558Z +++ extract_trap_cmd trap -- ' 2025-12-04T09:42:55.6702874Z sccache_epilogue' EXIT 2025-12-04T09:42:55.6703163Z +++ printf '%s\n' ' 2025-12-04T09:42:55.6703436Z sccache_epilogue' 2025-12-04T09:42:55.6703717Z ++ printf '%s\n' cleanup_workspace 2025-12-04T09:42:55.6704756Z + trap -- ' 2025-12-04T09:42:55.6705007Z sccache_epilogue 2025-12-04T09:42:55.6705293Z cleanup_workspace' EXIT 2025-12-04T09:42:55.6705659Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-12-04T09:42:56.3982389Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-12-04T09:42:56.4005195Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *cuda* ]] 2025-12-04T09:42:56.4009114Z ++ python -c 'import os;import numba.cuda; print(os.path.dirname(numba.cuda.__file__))' 2025-12-04T09:42:56.8813696Z + NUMBA_CUDA_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda 2025-12-04T09:42:56.8814454Z + '[' -n /opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda ']' 2025-12-04T09:42:56.8820539Z +++ realpath .ci/pytorch/test.sh 2025-12-04T09:42:56.8830718Z ++ dirname /var/lib/jenkins/workspace/.ci/pytorch/test.sh 2025-12-04T09:42:56.8851330Z + NUMBA_PATCH=/var/lib/jenkins/workspace/.ci/pytorch/numba-cuda-13.patch 2025-12-04T09:42:56.8852023Z + pushd /opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda 2025-12-04T09:42:56.8852995Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda ~/workspace 2025-12-04T09:42:56.8853543Z + patch -p4 2025-12-04T09:42:56.8866470Z patching file cudadrv/driver.py 2025-12-04T09:42:56.8866849Z Hunk #1 succeeded at 357 (offset -8 lines). 2025-12-04T09:42:56.8878481Z + popd 2025-12-04T09:42:56.8878726Z ~/workspace 2025-12-04T09:42:56.8878976Z + echo 'Environment variables:' 2025-12-04T09:42:56.8879311Z Environment variables: 2025-12-04T09:42:56.8879582Z + env 2025-12-04T09:42:56.8889105Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T09:42:56.8889828Z CONTINUE_THROUGH_ERROR=True 2025-12-04T09:42:56.8890302Z BUILD_ENVIRONMENT=linux-jammy-cuda12.4-py3.10-gcc11 2025-12-04T09:42:56.8891052Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-12-04T09:42:56.8891432Z HOSTNAME=1552b778ab47 2025-12-04T09:42:56.8892094Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_c6023487-8f6e-4184-abb2-44e4ba906afc 2025-12-04T09:42:56.8892844Z GITHUB_ACTION=__run_3 2025-12-04T09:42:56.8893166Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-12-04T09:42:56.8893514Z GITHUB_RUN_NUMBER=19107 2025-12-04T09:42:56.8893815Z TEST_CONFIG=legacy_nvidia_driver 2025-12-04T09:42:56.8894163Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-12-04T09:42:56.8894541Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-12-04T09:42:56.8894927Z SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:42:56.8895494Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-12-04T09:42:56.8895844Z GITHUB_TRIGGERING_ACTOR=huydhn 2025-12-04T09:42:56.8896158Z GITHUB_REF_TYPE=branch 2025-12-04T09:42:56.8896499Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:42:56.8896894Z XLA_CUDA= 2025-12-04T09:42:56.8897144Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-12-04T09:42:56.8897612Z HUGGING_FACE_HUB_TOKEN=*** 2025-12-04T09:42:56.8898128Z *** 2025-12-04T09:42:56.8898381Z GITHUB_REPOSITORY_ID=65600975 2025-12-04T09:42:56.8898690Z GITHUB_ACTIONS=true 2025-12-04T09:42:56.8898977Z NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:42:56.8899378Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:42:56.8899826Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:42:56.8900481Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:42:56.8901109Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/periodic.yml@refs/heads/main 2025-12-04T09:42:56.8901682Z UCC_HOME=/usr 2025-12-04T09:42:56.8901931Z VERBOSE_TEST_LOGS=False 2025-12-04T09:42:56.8902235Z GITHUB_REF=refs/heads/main 2025-12-04T09:42:56.8902537Z SHARD_NUMBER=1 2025-12-04T09:42:56.8902791Z GITHUB_REF_PROTECTED=true 2025-12-04T09:42:56.8903092Z HOME=/var/lib/jenkins 2025-12-04T09:42:56.8903414Z GITHUB_API_URL=https://api.github.com 2025-12-04T09:42:56.8903783Z PYTORCH_TEST_RERUN_DISABLED_TESTS=1 2025-12-04T09:42:56.8904185Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-12-04T09:42:56.8904577Z USE_SYSTEM_NCCL=1 2025-12-04T09:42:56.8904824Z NUM_TEST_SHARDS=5 2025-12-04T09:42:56.8905084Z UCX_HOME=/usr 2025-12-04T09:42:56.8905757Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_c6023487-8f6e-4184-abb2-44e4ba906afc 2025-12-04T09:42:56.8906973Z JOB_NAME=linux-jammy-cuda12.4-py3.10-gcc11 / test (legacy_nvidia_driver, 1, 5, linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests, unstable) 2025-12-04T09:42:56.8908148Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_c6023487-8f6e-4184-abb2-44e4ba906afc 2025-12-04T09:42:56.8909100Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-12-04T09:42:56.8909692Z GITHUB_EVENT_NAME=schedule 2025-12-04T09:42:56.8910010Z DASHBOARD_TAG= 2025-12-04T09:42:56.8910277Z GITHUB_RUN_ID=19922826259 2025-12-04T09:42:56.8910572Z INSTALLED_OPENBLAS= 2025-12-04T09:42:56.8911289Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_c6023487-8f6e-4184-abb2-44e4ba906afc 2025-12-04T09:42:56.8912067Z GITHUB_ACTOR=huydhn 2025-12-04T09:42:56.8912327Z PR_NUMBER= 2025-12-04T09:42:56.8912567Z DESIRED_CUDA=12.4 2025-12-04T09:42:56.8913038Z GITHUB_RUN_ATTEMPT=1 2025-12-04T09:42:56.8913335Z ANACONDA_PYTHON_VERSION=3.10 2025-12-04T09:42:56.8913832Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-12-04T09:42:56.8914222Z TERM=vt100 2025-12-04T09:42:56.8914467Z INSTALLED_VISION=yes 2025-12-04T09:42:56.8914737Z BRANCH=main 2025-12-04T09:42:56.8914975Z SCCACHE_REGION=us-east-1 2025-12-04T09:42:56.8915286Z OPENSSL_ROOT_DIR=/opt/openssl 2025-12-04T09:42:56.8915697Z BUILD_AOT_INDUCTOR_TEST= 2025-12-04T09:42:56.8915987Z CUDA_PATH=/usr/local/cuda 2025-12-04T09:42:56.8916604Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-12-04T09:42:56.8917291Z GITHUB_SERVER_URL=https://github.com 2025-12-04T09:42:56.8917703Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-12-04T09:42:56.8918087Z REENABLED_ISSUES= 2025-12-04T09:42:56.8918343Z DOCS= 2025-12-04T09:42:56.8918565Z SHLVL=1 2025-12-04T09:42:56.8918781Z MAX_JOBS=14 2025-12-04T09:42:56.8919033Z GITHUB_ACTOR_ID=475357 2025-12-04T09:42:56.8919427Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:42:56.8919866Z GITHUB_REF_NAME=main 2025-12-04T09:42:56.8920312Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-12-04T09:42:56.8920813Z GITHUB_JOB=test 2025-12-04T09:42:56.8921063Z NO_TEST_TIMEOUT=False 2025-12-04T09:42:56.8921347Z TD_DISTRIBUTED=False 2025-12-04T09:42:56.8921650Z GITHUB_REPOSITORY=pytorch/pytorch 2025-12-04T09:42:56.8921983Z GITHUB_RETENTION_DAYS=90 2025-12-04T09:42:56.8922283Z OPENSSL_DIR=/opt/openssl 2025-12-04T09:42:56.8922591Z GITHUB_ACTION_REPOSITORY= 2025-12-04T09:42:56.8923593Z 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 2025-12-04T09:42:56.8924552Z GITHUB_BASE_REF= 2025-12-04T09:42:56.8924813Z INSTALLED_ACL= 2025-12-04T09:42:56.8925351Z ARTIFACTS_FILE_SUFFIX=test-legacy_nvidia_driver-1-5-linux.g4dn.4xlarge.nvidia.gpu_57119749258 2025-12-04T09:42:56.8925962Z CI=true 2025-12-04T09:42:56.8926217Z GITHUB_REPOSITORY_OWNER=pytorch 2025-12-04T09:42:56.8926584Z RUST_LOG=sccache::server=error 2025-12-04T09:42:56.8926891Z JOB_ID=57119749258 2025-12-04T09:42:56.8927151Z GITHUB_HEAD_REF= 2025-12-04T09:42:56.8927410Z GITHUB_ACTION_REF= 2025-12-04T09:42:56.8927729Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-12-04T09:42:56.8928138Z TEST_SHOWLOCALS=False 2025-12-04T09:42:56.8928428Z GITHUB_WORKFLOW=periodic 2025-12-04T09:42:56.8928728Z DEBIAN_FRONTEND=noninteractive 2025-12-04T09:42:56.8929461Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_c6023487-8f6e-4184-abb2-44e4ba906afc 2025-12-04T09:42:56.8930211Z NO_TD=False 2025-12-04T09:42:56.8930473Z SKIP_SCCACHE_INITIALIZATION=1 2025-12-04T09:42:56.8930811Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-12-04T09:42:56.8931169Z _=/usr/bin/env 2025-12-04T09:42:56.8931580Z OLDPWD=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda 2025-12-04T09:42:56.8932200Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-12-04T09:42:56.9036468Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch 2025-12-04T09:42:56.9037366Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-12-04T09:42:56.9038128Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib 2025-12-04T09:42:56.9038819Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test 2025-12-04T09:42:56.9039345Z + BUILD_DIR=build 2025-12-04T09:42:56.9039690Z + BUILD_RENAMED_DIR=build_renamed 2025-12-04T09:42:56.9040022Z + BUILD_BIN_DIR=build/bin 2025-12-04T09:42:56.9040313Z + SHARD_NUMBER=1 2025-12-04T09:42:56.9040571Z + NUM_TEST_SHARDS=5 2025-12-04T09:42:56.9040851Z + export TORCH_SERIALIZATION_DEBUG=1 2025-12-04T09:42:56.9041217Z + TORCH_SERIALIZATION_DEBUG=1 2025-12-04T09:42:56.9041538Z + export VALGRIND=ON 2025-12-04T09:42:56.9041799Z + VALGRIND=ON 2025-12-04T09:42:56.9042325Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *clang9* ]] 2025-12-04T09:42:56.9042796Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *xpu* ]] 2025-12-04T09:42:56.9043295Z + detect_cuda_arch 2025-12-04T09:42:56.9043606Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *cuda* ]] 2025-12-04T09:42:56.9044013Z + command -v nvidia-smi 2025-12-04T09:42:56.9044302Z /usr/bin/nvidia-smi 2025-12-04T09:42:56.9047155Z ++ nvidia-smi --query-gpu=compute_cap --format=csv 2025-12-04T09:42:56.9048200Z ++ tail -n 1 2025-12-04T09:42:56.9271278Z + TORCH_CUDA_ARCH_LIST=7.5 2025-12-04T09:42:56.9271677Z + export TORCH_CUDA_ARCH_LIST 2025-12-04T09:42:56.9272068Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *s390x* ]] 2025-12-04T09:42:56.9272462Z + [[ 1 == \1 ]] 2025-12-04T09:42:56.9272720Z + ulimit -c 0 2025-12-04T09:42:56.9273036Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 != *bazel* ]] 2025-12-04T09:42:56.9276575Z ++ realpath build/custom_test_artifacts 2025-12-04T09:42:56.9296162Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-12-04T09:42:56.9296745Z + [[ -n '' ]] 2025-12-04T09:42:56.9297014Z + echo 'Environment variables' 2025-12-04T09:42:56.9297340Z Environment variables 2025-12-04T09:42:56.9297614Z + env 2025-12-04T09:42:56.9317180Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T09:42:56.9318019Z CONTINUE_THROUGH_ERROR=True 2025-12-04T09:42:56.9318396Z BUILD_ENVIRONMENT=linux-jammy-cuda12.4-py3.10-gcc11 2025-12-04T09:42:56.9319056Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-12-04T09:42:56.9319438Z HOSTNAME=1552b778ab47 2025-12-04T09:42:56.9320246Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_c6023487-8f6e-4184-abb2-44e4ba906afc 2025-12-04T09:42:56.9320972Z GITHUB_ACTION=__run_3 2025-12-04T09:42:56.9321271Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-12-04T09:42:56.9321614Z GITHUB_RUN_NUMBER=19107 2025-12-04T09:42:56.9321905Z TEST_CONFIG=legacy_nvidia_driver 2025-12-04T09:42:56.9322256Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-12-04T09:42:56.9322643Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-12-04T09:42:56.9323012Z SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:42:56.9323478Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-12-04T09:42:56.9323846Z GITHUB_TRIGGERING_ACTOR=huydhn 2025-12-04T09:42:56.9324209Z GITHUB_REF_TYPE=branch 2025-12-04T09:42:56.9324533Z TORCH_CUDA_ARCH_LIST=7.5 2025-12-04T09:42:56.9324908Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:42:56.9325399Z XLA_CUDA= 2025-12-04T09:42:56.9325787Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-12-04T09:42:56.9326875Z HUGGING_FACE_HUB_TOKEN=*** 2025-12-04T09:42:56.9327326Z *** 2025-12-04T09:42:56.9327562Z GITHUB_REPOSITORY_ID=65600975 2025-12-04T09:42:56.9327886Z GITHUB_ACTIONS=true 2025-12-04T09:42:56.9328175Z NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:42:56.9328558Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:42:56.9329026Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:42:56.9329477Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:42:56.9330102Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/periodic.yml@refs/heads/main 2025-12-04T09:42:56.9330668Z UCC_HOME=/usr 2025-12-04T09:42:56.9330948Z TORCH_SERIALIZATION_DEBUG=1 2025-12-04T09:42:56.9331253Z VERBOSE_TEST_LOGS=False 2025-12-04T09:42:56.9331556Z GITHUB_REF=refs/heads/main 2025-12-04T09:42:56.9331852Z SHARD_NUMBER=1 2025-12-04T09:42:56.9332120Z GITHUB_REF_PROTECTED=true 2025-12-04T09:42:56.9332406Z HOME=/var/lib/jenkins 2025-12-04T09:42:56.9332721Z GITHUB_API_URL=https://api.github.com 2025-12-04T09:42:56.9333107Z PYTORCH_TEST_RERUN_DISABLED_TESTS=1 2025-12-04T09:42:56.9333488Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-12-04T09:42:56.9333879Z USE_SYSTEM_NCCL=1 2025-12-04T09:42:56.9334140Z NUM_TEST_SHARDS=5 2025-12-04T09:42:56.9334380Z UCX_HOME=/usr 2025-12-04T09:42:56.9335036Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_c6023487-8f6e-4184-abb2-44e4ba906afc 2025-12-04T09:42:56.9336460Z JOB_NAME=linux-jammy-cuda12.4-py3.10-gcc11 / test (legacy_nvidia_driver, 1, 5, linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests, unstable) 2025-12-04T09:42:56.9337646Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_c6023487-8f6e-4184-abb2-44e4ba906afc 2025-12-04T09:42:56.9338701Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-12-04T09:42:56.9339296Z GITHUB_EVENT_NAME=schedule 2025-12-04T09:42:56.9339598Z DASHBOARD_TAG= 2025-12-04T09:42:56.9339847Z GITHUB_RUN_ID=19922826259 2025-12-04T09:42:56.9340148Z INSTALLED_OPENBLAS= 2025-12-04T09:42:56.9340868Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_c6023487-8f6e-4184-abb2-44e4ba906afc 2025-12-04T09:42:56.9341652Z GITHUB_ACTOR=huydhn 2025-12-04T09:42:56.9341913Z PR_NUMBER= 2025-12-04T09:42:56.9342155Z DESIRED_CUDA=12.4 2025-12-04T09:42:56.9342410Z GITHUB_RUN_ATTEMPT=1 2025-12-04T09:42:56.9342684Z VALGRIND=ON 2025-12-04T09:42:56.9342946Z ANACONDA_PYTHON_VERSION=3.10 2025-12-04T09:42:56.9343337Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-12-04T09:42:56.9343726Z TERM=vt100 2025-12-04T09:42:56.9343973Z INSTALLED_VISION=yes 2025-12-04T09:42:56.9344247Z BRANCH=main 2025-12-04T09:42:56.9344485Z SCCACHE_REGION=us-east-1 2025-12-04T09:42:56.9344796Z OPENSSL_ROOT_DIR=/opt/openssl 2025-12-04T09:42:56.9345121Z BUILD_AOT_INDUCTOR_TEST= 2025-12-04T09:42:56.9345406Z CUDA_PATH=/usr/local/cuda 2025-12-04T09:42:56.9346015Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-12-04T09:42:56.9346698Z GITHUB_SERVER_URL=https://github.com 2025-12-04T09:42:56.9347095Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-12-04T09:42:56.9347496Z REENABLED_ISSUES= 2025-12-04T09:42:56.9347747Z DOCS= 2025-12-04T09:42:56.9347957Z SHLVL=1 2025-12-04T09:42:56.9348182Z MAX_JOBS=14 2025-12-04T09:42:56.9348428Z GITHUB_ACTOR_ID=475357 2025-12-04T09:42:56.9348807Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:42:56.9349268Z GITHUB_REF_NAME=main 2025-12-04T09:42:56.9349703Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-12-04T09:42:56.9350206Z GITHUB_JOB=test 2025-12-04T09:42:56.9350456Z NO_TEST_TIMEOUT=False 2025-12-04T09:42:56.9350737Z TD_DISTRIBUTED=False 2025-12-04T09:42:56.9351041Z GITHUB_REPOSITORY=pytorch/pytorch 2025-12-04T09:42:56.9351376Z GITHUB_RETENTION_DAYS=90 2025-12-04T09:42:56.9351674Z OPENSSL_DIR=/opt/openssl 2025-12-04T09:42:56.9351979Z GITHUB_ACTION_REPOSITORY= 2025-12-04T09:42:56.9352885Z 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 2025-12-04T09:42:56.9353843Z GITHUB_BASE_REF= 2025-12-04T09:42:56.9354104Z INSTALLED_ACL= 2025-12-04T09:42:56.9354631Z ARTIFACTS_FILE_SUFFIX=test-legacy_nvidia_driver-1-5-linux.g4dn.4xlarge.nvidia.gpu_57119749258 2025-12-04T09:42:56.9355245Z CI=true 2025-12-04T09:42:56.9355587Z GITHUB_REPOSITORY_OWNER=pytorch 2025-12-04T09:42:56.9355971Z RUST_LOG=sccache::server=error 2025-12-04T09:42:56.9356271Z JOB_ID=57119749258 2025-12-04T09:42:56.9356530Z GITHUB_HEAD_REF= 2025-12-04T09:42:56.9356795Z GITHUB_ACTION_REF= 2025-12-04T09:42:56.9357113Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-12-04T09:42:56.9357521Z TEST_SHOWLOCALS=False 2025-12-04T09:42:56.9357811Z GITHUB_WORKFLOW=periodic 2025-12-04T09:42:56.9358114Z DEBIAN_FRONTEND=noninteractive 2025-12-04T09:42:56.9358842Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_c6023487-8f6e-4184-abb2-44e4ba906afc 2025-12-04T09:42:56.9359596Z NO_TD=False 2025-12-04T09:42:56.9359849Z SKIP_SCCACHE_INITIALIZATION=1 2025-12-04T09:42:56.9360202Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-12-04T09:42:56.9360734Z OLDPWD=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda 2025-12-04T09:42:56.9361217Z _=/usr/bin/env 2025-12-04T09:42:56.9361498Z + echo 'Testing pytorch' 2025-12-04T09:42:56.9361792Z Testing pytorch 2025-12-04T09:42:56.9362190Z + export LANG=C.UTF-8 2025-12-04T09:42:56.9362456Z + LANG=C.UTF-8 2025-12-04T09:42:56.9362703Z + PR_NUMBER= 2025-12-04T09:42:56.9363069Z + [[ legacy_nvidia_driver == \d\e\f\a\u\l\t ]] 2025-12-04T09:42:56.9363483Z + [[ legacy_nvidia_driver == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-12-04T09:42:56.9363898Z + [[ legacy_nvidia_driver == \s\l\o\w ]] 2025-12-04T09:42:56.9364353Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *slow-gradcheck* ]] 2025-12-04T09:42:56.9364853Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *cuda* ]] 2025-12-04T09:42:56.9365298Z + export PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-12-04T09:42:56.9365702Z + PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-12-04T09:42:56.9366082Z + [[ legacy_nvidia_driver == *crossref* ]] 2025-12-04T09:42:56.9366487Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *rocm* ]] 2025-12-04T09:42:56.9366939Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *xpu* ]] 2025-12-04T09:42:56.9367401Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 != *-bazel-* ]] 2025-12-04T09:42:56.9367806Z + pip_install ninja==1.10.2 2025-12-04T09:42:56.9368241Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-12-04T09:42:56.9368789Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-12-04T09:42:57.3723432Z Collecting ninja==1.10.2 2025-12-04T09:42:57.4006384Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-12-04T09:42:57.4128747Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-12-04T09:42:57.8388062Z Installing collected packages: ninja 2025-12-04T09:42:57.8388515Z Attempting uninstall: ninja 2025-12-04T09:42:57.8396890Z Found existing installation: ninja 1.11.1.4 2025-12-04T09:42:57.8420657Z Uninstalling ninja-1.11.1.4: 2025-12-04T09:42:57.8487924Z Successfully uninstalled ninja-1.11.1.4 2025-12-04T09:42:57.8868243Z Successfully installed ninja-1.10.2 2025-12-04T09:42:57.9529660Z + 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 2025-12-04T09:42:57.9531595Z + 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 2025-12-04T09:42:57.9532796Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *aarch64* ]] 2025-12-04T09:42:57.9533341Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *asan* ]] 2025-12-04T09:42:57.9533958Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *-debug* ]] 2025-12-04T09:42:57.9534423Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 != *-bazel-* ]] 2025-12-04T09:42:57.9535090Z + echo 'We are not in debug mode: linux-jammy-cuda12.4-py3.10-gcc11. Expect the assertion to pass' 2025-12-04T09:42:57.9535916Z We are not in debug mode: linux-jammy-cuda12.4-py3.10-gcc11. Expect the assertion to pass 2025-12-04T09:42:57.9536478Z + cd test 2025-12-04T09:42:57.9536889Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-12-04T09:42:59.6871224Z + [[ legacy_nvidia_driver == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-12-04T09:42:59.6871760Z + [[ legacy_nvidia_driver == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-12-04T09:42:59.6872301Z + [[ legacy_nvidia_driver == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-12-04T09:42:59.6873744Z + cd test 2025-12-04T09:42:59.6874828Z + python -c 'import torch; torch.rand(2, 2, device='\''cuda'\'')' 2025-12-04T09:43:04.5504938Z + export USE_LEGACY_DRIVER=1 2025-12-04T09:43:04.5505333Z + USE_LEGACY_DRIVER=1 2025-12-04T09:43:04.5511587Z + DYNAMO_BENCHMARK_FLAGS=() 2025-12-04T09:43:04.5513045Z + [[ legacy_nvidia_driver == *pr_time_benchmarks* ]] 2025-12-04T09:43:04.5513516Z + [[ legacy_nvidia_driver == *dynamo_eager* ]] 2025-12-04T09:43:04.5513903Z + [[ legacy_nvidia_driver == *aot_eager* ]] 2025-12-04T09:43:04.5514306Z + [[ legacy_nvidia_driver == *aot_inductor* ]] 2025-12-04T09:43:04.5514742Z + [[ legacy_nvidia_driver == *max_autotune_inductor* ]] 2025-12-04T09:43:04.5515598Z + [[ legacy_nvidia_driver == *inductor* ]] 2025-12-04T09:43:04.5515980Z + [[ legacy_nvidia_driver == *dynamic* ]] 2025-12-04T09:43:04.5516357Z + [[ legacy_nvidia_driver == *cpu* ]] 2025-12-04T09:43:04.5516857Z + [[ legacy_nvidia_driver == *xpu* ]] 2025-12-04T09:43:04.5517232Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda) 2025-12-04T09:43:04.5553967Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *libtorch* ]] 2025-12-04T09:43:04.5554454Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *-bazel-* ]] 2025-12-04T09:43:04.5557709Z + cd test 2025-12-04T09:43:04.5558688Z + python -c 'import torch; print(torch.__config__.show())' 2025-12-04T09:43:07.2417418Z PyTorch built with: 2025-12-04T09:43:07.2417772Z - GCC 11.4 2025-12-04T09:43:07.2418037Z - C++ Version: 201703 2025-12-04T09:43:07.2418691Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-12-04T09:43:07.2419568Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-12-04T09:43:07.2420118Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-12-04T09:43:07.2420502Z - LAPACK is enabled (usually provided by MKL) 2025-12-04T09:43:07.2420907Z - NNPACK is enabled 2025-12-04T09:43:07.2421210Z - CPU capability usage: AVX512 2025-12-04T09:43:07.2421544Z - CUDA Runtime 12.4 2025-12-04T09:43:07.2421931Z - NVCC architecture flags: -gencode;arch=compute_75,code=sm_75 2025-12-04T09:43:07.2422384Z - CuDNN 90.1 2025-12-04T09:43:07.2428089Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32, CUDA_VERSION=12.4, CUDNN_VERSION=9.1.0, CXX_COMPILER=/opt/cache/bin/c++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -DC10_NODEPRECATED -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=old-style-cast -faligned-new -Werror -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, FORCE_FALLBACK_CUDA_MPI=1, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.10.0, USE_CUDA=ON, USE_CUDNN=ON, USE_CUSPARSELT=ON, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=ON, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, 2025-12-04T09:43:07.2433980Z 2025-12-04T09:43:07.6299304Z + cd test 2025-12-04T09:43:07.6299766Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-12-04T09:43:09.0759485Z ATen/Parallel: 2025-12-04T09:43:09.0759849Z at::get_num_threads() : 8 2025-12-04T09:43:09.0760203Z at::get_num_interop_threads() : 8 2025-12-04T09:43:09.0760587Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-12-04T09:43:09.0760938Z omp_get_max_threads() : 8 2025-12-04T09:43:09.0761602Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-12-04T09:43:09.0762320Z mkl_get_max_threads() : 8 2025-12-04T09:43:09.0762752Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-12-04T09:43:09.0763280Z std::thread::hardware_concurrency() : 16 2025-12-04T09:43:09.0763652Z Environment variables: 2025-12-04T09:43:09.0763952Z OMP_NUM_THREADS : [not set] 2025-12-04T09:43:09.0764257Z MKL_NUM_THREADS : [not set] 2025-12-04T09:43:09.0764583Z ATen parallel backend: OpenMP 2025-12-04T09:43:09.0764796Z 2025-12-04T09:43:09.3814725Z + [[ legacy_nvidia_driver == *numpy_2* ]] 2025-12-04T09:43:09.3815353Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *aarch64* ]] 2025-12-04T09:43:09.3815912Z + [[ legacy_nvidia_driver == *backward* ]] 2025-12-04T09:43:09.3816366Z + [[ legacy_nvidia_driver == *libtorch_agnostic_targetting* ]] 2025-12-04T09:43:09.3817143Z + [[ legacy_nvidia_driver == *xla* ]] 2025-12-04T09:43:09.3817516Z + [[ legacy_nvidia_driver == *vllm* ]] 2025-12-04T09:43:09.3818026Z + [[ legacy_nvidia_driver == *executorch* ]] 2025-12-04T09:43:09.3818455Z + [[ legacy_nvidia_driver == \j\i\t\_\l\e\g\a\c\y ]] 2025-12-04T09:43:09.3818909Z + [[ legacy_nvidia_driver == \q\u\a\n\t\i\z\a\t\i\o\n ]] 2025-12-04T09:43:09.3819387Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *libtorch* ]] 2025-12-04T09:43:09.3819821Z + [[ legacy_nvidia_driver == distributed ]] 2025-12-04T09:43:09.3820250Z + [[ legacy_nvidia_driver == *operator_benchmark* ]] 2025-12-04T09:43:09.3820730Z + [[ legacy_nvidia_driver == *operator_microbenchmark* ]] 2025-12-04T09:43:09.3821220Z + [[ legacy_nvidia_driver == *attention_microbenchmark* ]] 2025-12-04T09:43:09.3821729Z + [[ legacy_nvidia_driver == *inductor_distributed* ]] 2025-12-04T09:43:09.3822179Z + [[ legacy_nvidia_driver == *inductor-halide* ]] 2025-12-04T09:43:09.3822617Z + [[ legacy_nvidia_driver == *inductor-pallas* ]] 2025-12-04T09:43:09.3823064Z + [[ legacy_nvidia_driver == *inductor-triton-cpu* ]] 2025-12-04T09:43:09.3823555Z + [[ legacy_nvidia_driver == *inductor-micro-benchmark* ]] 2025-12-04T09:43:09.3824093Z + [[ legacy_nvidia_driver == *aoti_cross_compile_for_windows* ]] 2025-12-04T09:43:09.3824562Z + [[ legacy_nvidia_driver == *huggingface* ]] 2025-12-04T09:43:09.3824948Z + [[ legacy_nvidia_driver == *timm* ]] 2025-12-04T09:43:09.3825314Z + [[ legacy_nvidia_driver == cachebench ]] 2025-12-04T09:43:09.3825705Z + [[ legacy_nvidia_driver == verify_cachebench ]] 2025-12-04T09:43:09.3826118Z + [[ legacy_nvidia_driver == *torchbench* ]] 2025-12-04T09:43:09.3826548Z + [[ legacy_nvidia_driver == *inductor_cpp_wrapper* ]] 2025-12-04T09:43:09.3826984Z + [[ legacy_nvidia_driver == *inductor_core* ]] 2025-12-04T09:43:09.3827369Z + [[ legacy_nvidia_driver == *inductor* ]] 2025-12-04T09:43:09.3827745Z + [[ legacy_nvidia_driver == *einops* ]] 2025-12-04T09:43:09.3828128Z + [[ legacy_nvidia_driver == *dynamo_core* ]] 2025-12-04T09:43:09.3828525Z + [[ legacy_nvidia_driver == *dynamo_wrapped* ]] 2025-12-04T09:43:09.3828963Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *rocm* ]] 2025-12-04T09:43:09.3829360Z + [[ 1 == 1 ]] 2025-12-04T09:43:09.3829602Z + [[ 5 -gt 1 ]] 2025-12-04T09:43:09.3829896Z + test_lazy_tensor_meta_reference_disabled 2025-12-04T09:43:09.3830355Z + export TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE=1 2025-12-04T09:43:09.3830839Z + TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE=1 2025-12-04T09:43:09.3831351Z + echo 'Testing lazy tensor operations without meta reference' 2025-12-04T09:43:09.3831877Z Testing lazy tensor operations without meta reference 2025-12-04T09:43:09.3832437Z + python test/run_test.py --include lazy/test_ts_opinfo.py --verbose 2025-12-04T09:43:16.4727833Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T09:43:16.5231508Z Ignoring disabled issues: [''] 2025-12-04T09:43:16.5345108Z Found test times from artifacts 2025-12-04T09:43:16.5784786Z Found test times from artifacts 2025-12-04T09:43:16.5799390Z Running all tests 2025-12-04T09:43:16.5803560Z Running parallel tests on 2 processes 2025-12-04T09:43:16.5804020Z Name: tests to run (est. time: 0.01min) 2025-12-04T09:43:16.5804380Z Serial tests (0): 2025-12-04T09:43:16.5804661Z Parallel tests (1): 2025-12-04T09:43:16.5804949Z lazy/test_ts_opinfo 1/1 2025-12-04T09:43:16.5805275Z Name: excluded (est. time: 0.0min) 2025-12-04T09:43:16.5805613Z Serial tests (0): 2025-12-04T09:43:16.5805940Z Parallel tests (0): 2025-12-04T09:43:16.5806387Z Running lazy/test_ts_opinfo 1/1 ... [2025-12-04 09:43:16.580455][1797.13043292] 2025-12-04T09:43:16.5806921Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:43:16.5811329Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_ts_opinfo.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:43:16.580864] 2025-12-04T09:43:22.7819049Z 2025-12-04T09:43:22.7820352Z lazy/test_ts_opinfo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_ts_opinfo_1.1_c56e22760de30837_.log 2025-12-04T09:43:22.7821250Z Running 0 items in this shard: 2025-12-04T09:43:22.7821469Z 2025-12-04T09:43:22.7821780Z Finished lazy/test_ts_opinfo 1/1 ... [2025-12-04 09:43:22.781836][1803.331811404], took 0.10min 2025-12-04T09:43:22.7827251Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-a7dd9172c7df1158.xml 2025-12-04T09:43:23.2545618Z Uploading artifacts took 0.12 seconds 2025-12-04T09:43:29.5401427Z Running lazy/test_ts_opinfo 1/1 ... [2025-12-04 09:43:29.539764][1810.089738569] 2025-12-04T09:43:29.5402001Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:43:29.5405547Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_ts_opinfo.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:43:29.540238] 2025-12-04T09:43:37.5419750Z 2025-12-04T09:43:37.5420997Z lazy/test_ts_opinfo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_ts_opinfo_1.1_25820e42999f013b_.log 2025-12-04T09:43:37.5421898Z Running 0 items in this shard: 2025-12-04T09:43:37.5422117Z 2025-12-04T09:43:37.5422444Z Finished lazy/test_ts_opinfo 1/1 ... [2025-12-04 09:43:37.541954][1818.091929457], took 0.13min 2025-12-04T09:43:37.5432720Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-15e889666351d6a3.xml 2025-12-04T09:43:45.5158384Z Running test batch 'tests to run' cost 28.94 seconds 2025-12-04T09:43:46.2673416Z 2025-12-04T09:43:46.2673862Z real 0m36.886s 2025-12-04T09:43:46.2674192Z user 0m40.407s 2025-12-04T09:43:46.2684723Z sys 0m14.592s 2025-12-04T09:43:46.2685260Z + export -n TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE 2025-12-04T09:43:46.2685725Z + test_without_numpy 2025-12-04T09:43:46.2686047Z ++ dirname .ci/pytorch/test.sh 2025-12-04T09:43:46.2692107Z + pushd .ci/pytorch 2025-12-04T09:43:46.2692463Z ~/workspace/.ci/pytorch ~/workspace 2025-12-04T09:43:46.2693441Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');from unittest import TestCase;import torch;x=torch.randn(3,3);TestCase().assertRaises(RuntimeError, lambda: x.numpy())' 2025-12-04T09:43:47.0914987Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/functional_tensor.py:283: UserWarning: Failed to initialize NumPy: Sorry PyTorch, but our NumPy is in the other folder (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:84.) 2025-12-04T09:43:47.0916884Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-12-04T09:43:47.8724421Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');import torch;print(torch.tensor([torch.tensor(0.), torch.tensor(1.)]))' 2025-12-04T09:43:48.6997635Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/functional_tensor.py:283: UserWarning: Failed to initialize NumPy: Sorry PyTorch, but our NumPy is in the other folder (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:84.) 2025-12-04T09:43:49.2130277Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-12-04T09:43:49.2130847Z tensor([0., 1.]) 2025-12-04T09:43:49.4890491Z + [[ legacy_nvidia_driver == *dynamo_wrapped* ]] 2025-12-04T09:43:49.4891228Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');import torch; import torch.onnx' 2025-12-04T09:43:50.3120795Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/functional_tensor.py:283: UserWarning: Failed to initialize NumPy: Sorry PyTorch, but our NumPy is in the other folder (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:84.) 2025-12-04T09:43:50.3122693Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-12-04T09:43:51.1104982Z + popd 2025-12-04T09:43:51.1105274Z ~/workspace 2025-12-04T09:43:51.1105519Z + install_torchvision 2025-12-04T09:43:51.1105876Z + local orig_preload 2025-12-04T09:43:51.1106152Z + local commit 2025-12-04T09:43:51.1109141Z ++ get_pinned_commit vision 2025-12-04T09:43:51.1109512Z ++ cat .github/ci_commit_pins/vision.txt 2025-12-04T09:43:51.1124894Z + commit=617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:43:51.1125541Z + orig_preload= 2025-12-04T09:43:51.1125809Z + '[' -n '' ']' 2025-12-04T09:43:51.1126250Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *cuda* ]] 2025-12-04T09:43:51.1126736Z + export FORCE_CUDA=1 2025-12-04T09:43:51.1127008Z + FORCE_CUDA=1 2025-12-04T09:43:51.1127271Z + export WITH_CUDA=1 2025-12-04T09:43:51.1127549Z + WITH_CUDA=1 2025-12-04T09:43:51.1128232Z + pip_build_and_install git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e dist/vision 2025-12-04T09:43:51.1129294Z + local build_target=git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:43:51.1129964Z + local wheel_dir=dist/vision 2025-12-04T09:43:51.1130291Z + local found_whl=0 2025-12-04T09:43:51.1130562Z + for file in "${wheel_dir}"/*.whl 2025-12-04T09:43:51.1130908Z + [[ -f dist/vision/*.whl ]] 2025-12-04T09:43:51.1131214Z + '[' 0 == 0 ']' 2025-12-04T09:43:51.1131998Z + python3 -m pip wheel --no-build-isolation --no-deps -w dist/vision git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:43:51.4749556Z Collecting git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:43:51.4754785Z Cloning https://github.com/pytorch/vision.git (to revision 617079d944b0e72632311c30ae2bbdf1168b901e) to /tmp/pip-req-build-gco661vd 2025-12-04T09:43:51.4941306Z Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-gco661vd 2025-12-04T09:43:53.1725659Z Running command git rev-parse -q --verify 'sha^617079d944b0e72632311c30ae2bbdf1168b901e' 2025-12-04T09:43:53.1749240Z Running command git fetch -q https://github.com/pytorch/vision.git 617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:43:53.2849663Z Resolved https://github.com/pytorch/vision.git to commit 617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:43:56.7398408Z Preparing metadata (pyproject.toml) ... [?25l- \ | done 2025-12-04T09:43:56.7437090Z [?25hBuilding wheels for collected packages: torchvision 2025-12-04T09:45:24.6017876Z Building wheel for torchvision (pyproject.toml) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - done 2025-12-04T09:45:24.6082484Z [?25h Created wheel for torchvision: filename=torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl size=1821332 sha256=b2adc38a33a2cfa7b44344c2f4a6686460ee34dadf14e69b64a82d05c13f1c30 2025-12-04T09:45:24.6084083Z Stored in directory: /var/lib/jenkins/.cache/pip/wheels/12/b2/29/1f82685c5b5173629e1f36a9b93989ce92ce563e5fb91d27ac 2025-12-04T09:45:24.6126010Z Successfully built torchvision 2025-12-04T09:45:24.7015235Z + for file in "${wheel_dir}"/*.whl 2025-12-04T09:45:24.7016259Z + pip_install_whl dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T09:45:24.7017265Z + args=('dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl') 2025-12-04T09:45:24.7017811Z + local args 2025-12-04T09:45:24.7018299Z + [[ dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-12-04T09:45:24.7018873Z + for path in "${args[@]}" 2025-12-04T09:45:24.7019413Z + echo 'Installing dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl' 2025-12-04T09:45:24.7020603Z Installing dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T09:45:24.7021541Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T09:45:25.0675122Z Processing ./dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T09:45:25.0815214Z Installing collected packages: torchvision 2025-12-04T09:45:25.6028962Z Successfully installed torchvision-0.25.0a0+617079d 2025-12-04T09:45:25.6429409Z + '[' -n '' ']' 2025-12-04T09:45:25.6429952Z + test_python_shard 1 2025-12-04T09:45:25.6430264Z + [[ -z 5 ]] 2025-12-04T09:45:25.6431158Z + python test/run_test.py --exclude-jit-executor --exclude-distributed-tests --exclude-quantization-tests --shard 1 5 --verbose --upload-artifacts-while-running 2025-12-04T09:45:32.6872649Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T09:45:32.6986454Z Found test times from artifacts 2025-12-04T09:45:32.7430905Z Found test times from artifacts 2025-12-04T09:45:32.7445673Z Running all tests 2025-12-04T09:45:32.8178553Z Running parallel tests on 2 processes 2025-12-04T09:45:32.8190778Z Name: tests to run (est. time: 150.74min) 2025-12-04T09:45:32.8191161Z Serial tests (47): 2025-12-04T09:45:32.8191463Z inductor/test_flex_attention 1/1 2025-12-04T09:45:32.8191838Z test_privateuseone_python_backend 1/1 2025-12-04T09:45:32.8192215Z test_ci_sanity_check_fail 1/1 2025-12-04T09:45:32.8192534Z test_overrides 1/1 2025-12-04T09:45:32.8192832Z inductor/test_max_autotune 1/1 2025-12-04T09:45:32.8193162Z doctests 1/1 2025-12-04T09:45:32.8193441Z inductor/test_cutlass_backend 1/1 2025-12-04T09:45:32.8193819Z inductor/test_benchmark_fusion 1/1 2025-12-04T09:45:32.8194200Z inductor/test_distributed_patterns 1/1 2025-12-04T09:45:32.8194574Z dynamo/test_fake_distributed 1/1 2025-12-04T09:45:32.8194945Z test_sort_and_select 1/1 2025-12-04T09:45:32.8195327Z test_cpp_api_parity 1/1 2025-12-04T09:45:32.8195638Z test_extension_utils 1/1 2025-12-04T09:45:32.8195969Z test_show_pickle 1/1 2025-12-04T09:45:32.8196263Z test_torch 1/1 2025-12-04T09:45:32.8196527Z test_tensorexpr 1/1 2025-12-04T09:45:32.8196813Z test_utils 1/1 2025-12-04T09:45:32.8197098Z test_namedtuple_return_api 1/1 2025-12-04T09:45:32.8197439Z test_fake_tensor 1/1 2025-12-04T09:45:32.8197798Z test_multiprocessing 1/1 2025-12-04T09:45:32.8198098Z test_fx 1/1 2025-12-04T09:45:32.8198372Z test_autograd_fallback 1/1 2025-12-04T09:45:32.8198691Z test_autocast 1/1 2025-12-04T09:45:32.8198969Z test_python_dispatch 1/1 2025-12-04T09:45:32.8199290Z test_jit_disabled 1/1 2025-12-04T09:45:32.8199613Z test_cpp_extensions_mtia_backend 1/1 2025-12-04T09:45:32.8200016Z functorch/test_memory_efficient_fusion 1/1 2025-12-04T09:45:32.8200717Z test_tensor_creation_ops 1/1 2025-12-04T09:45:32.8201097Z test_cpp_extensions_stream_and_event 1/1 2025-12-04T09:45:32.8201473Z test_dispatch 1/1 2025-12-04T09:45:32.8201753Z nn/test_convolution 1/1 2025-12-04T09:45:32.8202080Z test_cpp_extensions_jit 1/1 2025-12-04T09:45:32.8202393Z test_nn 1/1 2025-12-04T09:45:32.8202662Z test_multiprocessing_spawn 1/1 2025-12-04T09:45:32.8203002Z nn/test_pooling 1/1 2025-12-04T09:45:32.8203287Z test_cuda_trace 1/1 2025-12-04T09:45:32.8203560Z test_native_mha 1/1 2025-12-04T09:45:32.8203856Z test_cuda_nvml_based_avail 1/1 2025-12-04T09:45:32.8204201Z test_mobile_optimizer 1/1 2025-12-04T09:45:32.8204516Z test_cuda_primary_ctx 1/1 2025-12-04T09:45:32.8204833Z test_reductions 1/1 2025-12-04T09:45:32.8205130Z test_spectral_ops 1/1 2025-12-04T09:45:32.8205447Z distributions/test_distributions 1/1 2025-12-04T09:45:32.8205823Z test_autoload_disable 1/1 2025-12-04T09:45:32.8206148Z test_autoload_enable 1/1 2025-12-04T09:45:32.8206481Z test_cpp_extensions_aot_ninja 1/1 2025-12-04T09:45:32.8207092Z test_cpp_extensions_aot_no_ninja 1/1 2025-12-04T09:45:32.8207466Z Parallel tests (106): 2025-12-04T09:45:32.8207924Z inductor/test_torchinductor_opinfo 11/17 2025-12-04T09:45:32.8208319Z dynamo/test_activation_checkpointing 1/1 2025-12-04T09:45:32.8208700Z dynamo/test_logging 1/1 2025-12-04T09:45:32.8209016Z dynamo/test_repros 1/1 2025-12-04T09:45:32.8209337Z inductor/test_cuda_select_algorithm 1/5 2025-12-04T09:45:32.8209734Z inductor/test_cuda_select_algorithm 5/5 2025-12-04T09:45:32.8210115Z inductor/test_flex_decoding 1/1 2025-12-04T09:45:32.8210465Z inductor/test_deterministic 3/8 2025-12-04T09:45:32.8210825Z inductor/test_deterministic 7/8 2025-12-04T09:45:32.8211200Z inductor/test_decompose_mem_bound_mm 1/1 2025-12-04T09:45:32.8211591Z inductor/test_op_dtype_prop 1/2 2025-12-04T09:45:32.8211929Z inductor/test_padding 1/1 2025-12-04T09:45:32.8212259Z dynamo/test_aot_compile 1/1 2025-12-04T09:45:32.8212578Z dynamo/test_sets 1/1 2025-12-04T09:45:32.8212918Z dynamo/test_wrap_inductor_compiled_regions 1/1 2025-12-04T09:45:32.8213326Z dynamo/test_callback 1/1 2025-12-04T09:45:32.8213665Z dynamo/test_compiler_bisector 1/1 2025-12-04T09:45:32.8214021Z inductor/test_custom_op_autotune 1/1 2025-12-04T09:45:32.8214465Z inductor/test_cudagraph_trees_expandable_segments 1/1 2025-12-04T09:45:32.8214897Z test_decomp 1/17 2025-12-04T09:45:32.8215161Z test_decomp 6/17 2025-12-04T09:45:32.8215436Z test_decomp 11/17 2025-12-04T09:45:32.8215715Z test_decomp 16/17 2025-12-04T09:45:32.8215976Z test_meta 3/5 2025-12-04T09:45:32.8216235Z test_ops_jit 2/2 2025-12-04T09:45:32.8216513Z test_nestedtensor 2/4 2025-12-04T09:45:32.8216794Z test_ops 4/11 2025-12-04T09:45:32.8217051Z test_ops 7/11 2025-12-04T09:45:32.8217320Z functorch/test_ops 1/7 2025-12-04T09:45:32.8217616Z functorch/test_ops 4/7 2025-12-04T09:45:32.8217929Z inductor/test_cpu_repro 2/3 2025-12-04T09:45:32.8218260Z dynamo/test_after_aot 1/1 2025-12-04T09:45:32.8218591Z inductor/test_snode_runtime 1/1 2025-12-04T09:45:32.8218925Z inductor/test_minifier 1/1 2025-12-04T09:45:32.8219270Z inductor/test_compiled_autograd 1/1 2025-12-04T09:45:32.8219654Z inductor/test_cpu_select_algorithm 1/1 2025-12-04T09:45:32.8220013Z inductor/test_b2b_gemm 1/1 2025-12-04T09:45:32.8220338Z dynamo/test_einops 1/1 2025-12-04T09:45:32.8220664Z inductor/test_external_callables 1/1 2025-12-04T09:45:32.8221012Z test_testing 1/1 2025-12-04T09:45:32.8221307Z dynamo/test_fx_passes_pre_grad 1/1 2025-12-04T09:45:32.8221680Z export/test_strict_export_v2 1/1 2025-12-04T09:45:32.8222022Z inductor/test_flex_flash 1/1 2025-12-04T09:45:32.8222361Z inductor/test_segmented_tree 1/1 2025-12-04T09:45:32.8222732Z inductor/test_kernel_optimization 1/1 2025-12-04T09:45:32.8223092Z inductor/test_metrics 1/1 2025-12-04T09:45:32.8223437Z export/test_unflatten_training_ir 1/1 2025-12-04T09:45:32.8223809Z inductor/test_fx_fusion 1/1 2025-12-04T09:45:32.8224144Z dynamo/test_inline_and_install 1/1 2025-12-04T09:45:32.8224526Z export/test_functionalized_assertions 1/1 2025-12-04T09:45:32.8224936Z inductor/test_selective_lowering 1/1 2025-12-04T09:45:32.8225306Z dynamo/test_base_output 1/1 2025-12-04T09:45:32.8225651Z inductor/test_cooperative_reductions 1/1 2025-12-04T09:45:32.8226031Z export/test_serialize 1/1 2025-12-04T09:45:32.8226372Z inductor/test_cutedsl_template 1/1 2025-12-04T09:45:32.8226729Z inductor/test_inductor_scheduler 1/1 2025-12-04T09:45:32.8227127Z inductor/test_move_constructors_to_gpu 1/1 2025-12-04T09:45:32.8227528Z export/test_export_strict 1/1 2025-12-04T09:45:32.8227855Z dynamo/test_modules 1/1 2025-12-04T09:45:32.8228178Z inductor/test_remote_cache 1/1 2025-12-04T09:45:32.8228557Z inductor/test_coordinate_descent_tuner 1/1 2025-12-04T09:45:32.8228957Z inductor/test_inplace_padding 1/1 2025-12-04T09:45:32.8229420Z inductor/test_cudacodecache 1/1 2025-12-04T09:45:32.8229788Z inductor/test_minifier_utils 1/1 2025-12-04T09:45:32.8230144Z inductor/test_debug_trace 1/1 2025-12-04T09:45:32.8230560Z dynamo/test_recompiles 1/1 2025-12-04T09:45:32.8230892Z inductor/test_foreach 1/1 2025-12-04T09:45:32.8231229Z inductor/test_control_flow 4/4 2025-12-04T09:45:32.8231577Z dynamo/test_graph_region_tracker 1/1 2025-12-04T09:45:32.8231952Z dynamo/test_unittest 1/1 2025-12-04T09:45:32.8232279Z inductor/test_compile 1/1 2025-12-04T09:45:32.8232594Z dynamo/test_functions 1/1 2025-12-04T09:45:32.8232918Z dynamo/test_package 1/1 2025-12-04T09:45:32.8233258Z inductor/test_efficient_conv_bn_eval 1/1 2025-12-04T09:45:32.8233767Z inductor/test_torchbind 1/1 2025-12-04T09:45:32.8234139Z dynamo/test_flat_apply 1/1 2025-12-04T09:45:32.8234479Z dynamo/test_input_attr_tracking 1/1 2025-12-04T09:45:32.8234857Z dynamo/test_graph_deduplication 1/1 2025-12-04T09:45:32.8235218Z dynamo/test_structured_trace 1/1 2025-12-04T09:45:32.8235666Z dynamo/test_error_messages 1/1 2025-12-04T09:45:32.8236024Z dynamo/test_bytecode_utils 1/1 2025-12-04T09:45:32.8236359Z export/test_nativert 1/1 2025-12-04T09:45:32.8236681Z export/test_hop 1/1 2025-12-04T09:45:32.8236975Z dynamo/test_tree_map 1/1 2025-12-04T09:45:32.8237280Z dynamo/test_minifier 1/1 2025-12-04T09:45:32.8237604Z dynamo/test_guard_manager 1/1 2025-12-04T09:45:32.8237940Z export/test_schema 1/1 2025-12-04T09:45:32.8238314Z export/test_pass_infra 1/1 2025-12-04T09:45:32.8238729Z dynamo/test_recompile_ux 1/1 2025-12-04T09:45:32.8239073Z export/test_experimental 1/1 2025-12-04T09:45:32.8239410Z export/test_converter 1/1 2025-12-04T09:45:32.8239719Z export/test_export 1/1 2025-12-04T09:45:32.8240020Z xpu/test_fusion 1/1 2025-12-04T09:45:32.8240336Z higher_order_ops/test_with_effects 1/1 2025-12-04T09:45:32.8240679Z test_weak 1/1 2025-12-04T09:45:32.8240943Z test_complex 1/1 2025-12-04T09:45:32.8241223Z test_optim 1/1 2025-12-04T09:45:32.8241487Z nn/test_packed_sequence 1/1 2025-12-04T09:45:32.8241809Z test_numa_binding 1/1 2025-12-04T09:45:32.8242111Z test_pruning_op 1/1 2025-12-04T09:45:32.8242389Z test_jit_fuser_te 1/1 2025-12-04T09:45:32.8242692Z optim/test_swa_utils 1/1 2025-12-04T09:45:32.8243178Z cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 2025-12-04T09:45:32.8243733Z torch_np/numpy_tests/lib/test_histograms 1/1 2025-12-04T09:45:32.8244136Z torch_np/test_indexing 1/1 2025-12-04T09:45:32.8244457Z test_schema_check 1/1 2025-12-04T09:45:32.8244775Z Name: excluded (est. time: 0.0min) 2025-12-04T09:45:32.8245095Z Serial tests (0): 2025-12-04T09:45:32.8245364Z Parallel tests (0): 2025-12-04T09:45:32.8245876Z Running inductor/test_flex_attention 1/1 ... [2025-12-04 09:45:32.823296][1933.373272825] 2025-12-04T09:45:32.8246438Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:45:32.8247916Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.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 09:45:32.823775] 2025-12-04T09:45:45.9914969Z 2025-12-04T09:45:45.9915966Z PRINTING LOG FILE of inductor/test_flex_attention 1/1 (test/test-reports/inductor.test_flex_attention_1.1_ea69d08ff75d9984_.log) 2025-12-04T09:45:45.9916780Z Traceback (most recent call last): 2025-12-04T09:45:45.9917431Z File "/var/lib/jenkins/workspace/test/inductor/test_flex_attention.py", line 447, in 2025-12-04T09:45:45.9918161Z @large_tensor_test_class("2GB", device=test_device[0]) 2025-12-04T09:45:45.9918627Z NameError: name 'test_device' is not defined 2025-12-04T09:45:45.9918909Z 2025-12-04T09:45:45.9919484Z FINISHED PRINTING LOG FILE of inductor/test_flex_attention 1/1 (test/test-reports/inductor.test_flex_attention_1.1_ea69d08ff75d9984_.log) 2025-12-04T09:45:45.9921274Z 2025-12-04T09:45:45.9921666Z Finished inductor/test_flex_attention 1/1 ... [2025-12-04 09:45:45.991261][1946.541234562], took 0.22min 2025-12-04T09:45:46.2524101Z Uploading logs for 57119749258 to S3 2025-12-04T09:45:46.2836722Z Uploading artifacts took 0.29 seconds 2025-12-04T09:45:46.2837130Z inductor/test_flex_attention 1/1 failed! 2025-12-04T09:45:46.2842327Z Running test_privateuseone_python_backend 1/1 ... [2025-12-04 09:45:46.284023][1946.833996967] 2025-12-04T09:45:46.2843139Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:45:46.2847930Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_privateuseone_python_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 09:45:46.284486] 2025-12-04T09:45:50.9297560Z 2025-12-04T09:45:50.9299407Z test_privateuseone_python_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_privateuseone_python_backend_1.1_d03822dc113f9796_.log 2025-12-04T09:45:50.9300709Z Running 0 items in this shard: 2025-12-04T09:45:50.9300929Z 2025-12-04T09:45:50.9301332Z Finished test_privateuseone_python_backend 1/1 ... [2025-12-04 09:45:50.929774][1951.479745876], took 0.08min 2025-12-04T09:45:50.9310394Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_privateuseone_python_backend/test_privateuseone_python_backend-298cd44e67ae5a99.xml 2025-12-04T09:45:50.9591798Z Running test_ci_sanity_check_fail 1/1 ... [2025-12-04 09:45:50.958970][1951.508946717] 2025-12-04T09:45:50.9592483Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:45:50.9596193Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ci_sanity_check_fail.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 09:45:50.959334] 2025-12-04T09:45:55.7178728Z Finished test_ci_sanity_check_fail 1/1 ... [2025-12-04 09:45:55.717461][1956.267429265], took 0.08min 2025-12-04T09:45:55.7188556Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ci_sanity_check_fail/test_ci_sanity_check_fail-40b90ce152223d7f.xml 2025-12-04T09:45:55.8849728Z Uploading logs for 57119749258 to S3 2025-12-04T09:45:55.9132594Z Uploading artifacts took 0.17 seconds 2025-12-04T09:45:55.9133311Z test_ci_sanity_check_fail 1/1 failed! 2025-12-04T09:45:55.9137803Z Running test_overrides 1/1 ... [2025-12-04 09:45:55.913610][1956.463585007] 2025-12-04T09:45:55.9138594Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:45:55.9142516Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_overrides.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 09:45:55.913955] 2025-12-04T09:46:06.4416298Z 2025-12-04T09:46:06.4417404Z test_overrides 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_overrides_1.1_d2102f15958c2cba_.log 2025-12-04T09:46:06.4507340Z Running 250 items in this shard: test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_getitem_call, test/test_overrides.py::TestTorchFunctionMode::test_modes_handle_first, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, 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test/test_overrides.py::TestTorchFunctionMode::test_modes_handle_first, test/test_overrides.py::TestTorchFunctionMode::test_modes_handle_first, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api 2025-12-04T09:46:06.4596081Z 2025-12-04T09:46:06.4596382Z Finished test_overrides 1/1 ... [2025-12-04 09:46:06.441854][1966.991827233], took 0.18min 2025-12-04T09:46:06.4597500Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_overrides/test_overrides-f807be14cd2a8e0d.xml 2025-12-04T09:46:06.5345352Z Running inductor/test_max_autotune 1/1 ... [2025-12-04 09:46:06.534208][1967.084181229] 2025-12-04T09:46:06.5345932Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:46:06.5349075Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_max_autotune.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 09:46:06.534638] 2025-12-04T09:46:16.1962086Z 2025-12-04T09:46:16.1963133Z inductor/test_max_autotune 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_max_autotune_1.1_2908d7ce63b8a760_.log 2025-12-04T09:46:16.1963984Z 2025-12-04T09:46:16.1964354Z Finished inductor/test_max_autotune 1/1 ... [2025-12-04 09:46:16.195999][1976.745972484], took 0.16min 2025-12-04T09:46:16.1980663Z Running doctests 1/1 ... [2025-12-04 09:46:16.197903][1976.747879563] 2025-12-04T09:46:16.7810638Z msg = Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=368. 2025-12-04T09:46:16.7811653Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:46:16.7812349Z Registers the function implementation as the fallback for the given key. 2025-12-04T09:46:16.7812757Z 2025-12-04T09:46:16.7813020Z This function only works for a library with global namespace ("_"). 2025-12-04T09:46:16.7813405Z 2025-12-04T09:46:16.7813524Z Args: 2025-12-04T09:46:16.7813994Z fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel` 2025-12-04T09:46:16.7814595Z to register a fallthrough. 2025-12-04T09:46:16.7815205Z dispatch_key: dispatch key that the input function should be registered for. By default, it uses 2025-12-04T09:46:16.7815904Z the dispatch key that the library was created with. 2025-12-04T09:46:16.7816658Z with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument 2025-12-04T09:46:16.7817606Z to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls. 2025-12-04T09:46:16.7818113Z 2025-12-04T09:46:16.7818253Z Example:: 2025-12-04T09:46:16.7818422Z 2025-12-04T09:46:16.7818546Z >>> my_lib = Library("_", "IMPL") 2025-12-04T09:46:16.7819229Z >>> def fallback_kernel(op, *args, **kwargs): 2025-12-04T09:46:16.7819669Z >>> # Handle all autocast ops generically 2025-12-04T09:46:16.7820159Z >>> # ... 2025-12-04T09:46:16.7820510Z >>> my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T09:46:16.7820900Z 2025-12-04T09:46:16.7821748Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7)) 2025-12-04T09:46:16.7822614Z 2025-12-04T09:46:16.7822759Z my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T09:46:16.7968963Z ^ 2025-12-04T09:46:16.7969660Z msg = Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=958. 2025-12-04T09:46:16.7970613Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:46:16.7971294Z Register a FakeTensor implementation ("fake impl") for this operator. 2025-12-04T09:46:16.7971718Z 2025-12-04T09:46:16.7971920Z Also sometimes known as a "meta kernel", "abstract impl". 2025-12-04T09:46:16.7972256Z 2025-12-04T09:46:16.7972547Z An "FakeTensor implementation" specifies the behavior of this operator on 2025-12-04T09:46:16.7973205Z Tensors that carry no data ("FakeTensor"). Given some input Tensors with 2025-12-04T09:46:16.7973874Z certain properties (sizes/strides/storage_offset/device), it specifies 2025-12-04T09:46:16.7974444Z what the properties of the output Tensors are. 2025-12-04T09:46:16.7974733Z 2025-12-04T09:46:16.7975010Z The FakeTensor implementation has the same signature as the operator. 2025-12-04T09:46:16.7975637Z It is run for both FakeTensors and meta tensors. To write a FakeTensor 2025-12-04T09:46:16.7976266Z implementation, assume that all Tensor inputs to the operator are 2025-12-04T09:46:16.7976886Z regular CPU/CUDA/Meta tensors, but they do not have storage, and 2025-12-04T09:46:16.7977482Z you are trying to return regular CPU/CUDA/Meta tensor(s) as output. 2025-12-04T09:46:16.7978120Z The FakeTensor implementation must consist of only PyTorch operations 2025-12-04T09:46:16.7978744Z (and may not directly access the storage or data of any input or 2025-12-04T09:46:16.7979215Z intermediate Tensors). 2025-12-04T09:46:16.7979413Z 2025-12-04T09:46:16.7979584Z This API may be used as a decorator (see examples). 2025-12-04T09:46:16.7979900Z 2025-12-04T09:46:16.7980056Z For a detailed guide on custom ops, please see 2025-12-04T09:46:16.7980625Z https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html 2025-12-04T09:46:16.7981017Z 2025-12-04T09:46:16.7981110Z Args: 2025-12-04T09:46:16.7981506Z op_name: Operator name (along with the overload) or OpOverload object. 2025-12-04T09:46:16.7982028Z func: Fake tensor implementation. 2025-12-04T09:46:16.7982509Z lib (Optional[Library]): Library to register the fake tensor to. 2025-12-04T09:46:16.7983070Z allow_override: Flag controlling if we want to override an 2025-12-04T09:46:16.7983614Z existing registered fake impl. This is by default off, 2025-12-04T09:46:16.7984154Z and will error you're trying to register a fake impl to 2025-12-04T09:46:16.7984674Z an operator that already has a fake impl. This also only 2025-12-04T09:46:16.7985192Z applies if the custom operator was not created via 2025-12-04T09:46:16.7985724Z torch.library.custom_op, as overriding and existing fake 2025-12-04T09:46:16.7986203Z impl is already allowed. 2025-12-04T09:46:16.7986456Z 2025-12-04T09:46:16.7986549Z Examples: 2025-12-04T09:46:16.7986802Z >>> import torch 2025-12-04T09:46:16.7987104Z >>> import numpy as np 2025-12-04T09:46:16.7987462Z >>> from torch import Tensor 2025-12-04T09:46:16.7987774Z >>> 2025-12-04T09:46:16.7988279Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T09:46:16.7988890Z >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=()) 2025-12-04T09:46:16.7989627Z >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T09:46:16.7990224Z >>> raise NotImplementedError("Implementation goes here") 2025-12-04T09:46:16.7990658Z >>> 2025-12-04T09:46:16.7990975Z >>> @torch.library.register_fake("mylib::custom_linear") 2025-12-04T09:46:16.7991412Z >>> def _(x, weight, bias): 2025-12-04T09:46:16.7991754Z >>> assert x.dim() == 2 2025-12-04T09:46:16.7992098Z >>> assert weight.dim() == 2 2025-12-04T09:46:16.7992446Z >>> assert bias.dim() == 1 2025-12-04T09:46:16.7992822Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T09:46:16.7993239Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T09:46:16.7993637Z >>> assert x.device == weight.device 2025-12-04T09:46:16.7993996Z >>> 2025-12-04T09:46:16.7994258Z >>> return (x @ weight.t()) + bias 2025-12-04T09:46:16.7994591Z >>> 2025-12-04T09:46:16.7994933Z >>> with torch._subclasses.fake_tensor.FakeTensorMode(): 2025-12-04T09:46:16.7995459Z >>> x = torch.randn(2, 3) 2025-12-04T09:46:16.7995803Z >>> w = torch.randn(3, 3) 2025-12-04T09:46:16.7996152Z >>> b = torch.randn(3) 2025-12-04T09:46:16.7996530Z >>> y = torch.ops.mylib.custom_linear(x, w, b) 2025-12-04T09:46:16.7996914Z >>> 2025-12-04T09:46:16.7997153Z >>> assert y.shape == (2, 3) 2025-12-04T09:46:16.7997475Z >>> 2025-12-04T09:46:16.7997808Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T09:46:16.7998375Z >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=()) 2025-12-04T09:46:16.7998907Z >>> def custom_nonzero(x: Tensor) -> Tensor: 2025-12-04T09:46:16.7999310Z >>> x_np = x.numpy(force=True) 2025-12-04T09:46:16.7999693Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T09:46:16.8000125Z >>> return torch.tensor(res, device=x.device) 2025-12-04T09:46:16.8000705Z >>> 2025-12-04T09:46:16.8001041Z >>> @torch.library.register_fake("mylib::custom_nonzero") 2025-12-04T09:46:16.8001455Z >>> def _(x): 2025-12-04T09:46:16.8001800Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T09:46:16.8002279Z >>> # Since we cannot peek at the data in an fake impl, 2025-12-04T09:46:16.8002752Z >>> # we use the ctx object to construct a new symint that 2025-12-04T09:46:16.8003210Z >>> # represents the data-dependent size. 2025-12-04T09:46:16.8003613Z >>> ctx = torch.library.get_ctx() 2025-12-04T09:46:16.8003985Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T09:46:16.8004353Z >>> shape = [nnz, x.dim()] 2025-12-04T09:46:16.8004761Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T09:46:16.8005170Z >>> return result 2025-12-04T09:46:16.8005455Z >>> 2025-12-04T09:46:16.8005798Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2025-12-04T09:46:16.8006229Z >>> 2025-12-04T09:46:16.8006479Z >>> x = torch.tensor([0, 1, 2, 3, 4, 0]) 2025-12-04T09:46:16.8007008Z >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x) 2025-12-04T09:46:16.8007549Z >>> trace.print_readable() 2025-12-04T09:46:16.8007860Z >>> 2025-12-04T09:46:16.8008250Z >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x)) 2025-12-04T09:46:16.8008642Z 2025-12-04T09:46:16.8008745Z 2025-12-04T09:46:16.8009482Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('', 38, 1, '_._ = None\n', 38, 2)) 2025-12-04T09:46:16.8010217Z 2025-12-04T09:46:16.8010309Z _._ = None 2025-12-04T09:46:16.8010537Z ^ 2025-12-04T09:46:16.8133243Z msg = Cannot scrape callname=get_kernel in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=1530. 2025-12-04T09:46:16.8134310Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:46:16.8134956Z Returns the computed kernel for a given operator and dispatch key. 2025-12-04T09:46:16.8135338Z 2025-12-04T09:46:16.8135591Z This function retrieves the kernel that would be executed for a given 2025-12-04T09:46:16.8136246Z operator and dispatch key combination. The returned SafeKernelFunction 2025-12-04T09:46:16.8136854Z can be used to call the kernel in a boxed fashion. The intended use 2025-12-04T09:46:16.8137451Z case for this function is to retrieve the original kernel for a given 2025-12-04T09:46:16.8138078Z dispatch key and then register another kernel to the same dispatch key 2025-12-04T09:46:16.8138653Z that calls into the original kernel for certain cases. 2025-12-04T09:46:16.8138963Z 2025-12-04T09:46:16.8139062Z Args: 2025-12-04T09:46:16.8139430Z op: Operator name (along with the overload) or OpOverload object 2025-12-04T09:46:16.8140071Z Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef. 2025-12-04T09:46:16.8140751Z dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for. 2025-12-04T09:46:16.8141410Z Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value. 2025-12-04T09:46:16.8141775Z 2025-12-04T09:46:16.8141871Z Returns: 2025-12-04T09:46:16.8142293Z torch._C._SafeKernelFunction: A safe kernel function that can be used to 2025-12-04T09:46:16.8142804Z call the kernel. 2025-12-04T09:46:16.8143035Z 2025-12-04T09:46:16.8143129Z Raises: 2025-12-04T09:46:16.8143434Z RuntimeError: If the operator does not exist. 2025-12-04T09:46:16.8143725Z 2025-12-04T09:46:16.8143834Z Example: 2025-12-04T09:46:16.8144102Z >>> # Get the CPU kernel for torch.add 2025-12-04T09:46:16.8144596Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU") 2025-12-04T09:46:16.8145050Z >>> 2025-12-04T09:46:16.8145316Z >>> # You can also use DispatchKey enum 2025-12-04T09:46:16.8145880Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU) 2025-12-04T09:46:16.8146417Z >>> 2025-12-04T09:46:16.8146681Z >>> # Or use an OpOverload directly 2025-12-04T09:46:16.8147176Z >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU") 2025-12-04T09:46:16.8147663Z >>> 2025-12-04T09:46:16.8148043Z >>> # Example: Using get_kernel in a custom op with conditional dispatch 2025-12-04T09:46:16.8148545Z >>> # Get the original kernel for torch.sin 2025-12-04T09:46:16.8149063Z >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU") 2025-12-04T09:46:16.8149533Z >>> 2025-12-04T09:46:16.8149919Z >>> # If input has negative values, use original sin, otherwise return zeros 2025-12-04T09:46:16.8150474Z >>> def conditional_sin_impl(dispatch_keys, x): 2025-12-04T09:46:16.8150869Z >>> if (x < 0).any(): 2025-12-04T09:46:16.8151298Z >>> return original_sin_kernel.call_boxed(dispatch_keys, x) 2025-12-04T09:46:16.8151726Z >>> else: 2025-12-04T09:46:16.8152025Z >>> return torch.zeros_like(x) 2025-12-04T09:46:16.8152377Z >>> 2025-12-04T09:46:16.8152655Z >>> lib = torch.library.Library("aten", "IMPL") 2025-12-04T09:46:16.8153238Z >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet 2025-12-04T09:46:16.8153886Z >>> which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T09:46:16.8154442Z >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True) 2025-12-04T09:46:16.8154892Z >>> 2025-12-04T09:46:16.8155157Z >>> # Test the conditional behavior 2025-12-04T09:46:16.8155737Z >>> x_positive = torch.tensor([1.0, 2.0]) 2025-12-04T09:46:16.8156123Z >>> x_mixed = torch.tensor([-1.0, 2.0]) 2025-12-04T09:46:16.8156498Z >>> torch.sin(x_positive) 2025-12-04T09:46:16.8156922Z tensor([0., 0.]) 2025-12-04T09:46:16.8157206Z >>> torch.sin(x_mixed) 2025-12-04T09:46:16.8157521Z tensor([-0.8415, 0.9093]) 2025-12-04T09:46:16.8157827Z 2025-12-04T09:46:16.8158495Z Original Error: SyntaxError('invalid syntax', ('', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12)) 2025-12-04T09:46:16.8159192Z 2025-12-04T09:46:16.8159399Z which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T09:46:16.8159836Z ^ 2025-12-04T09:46:17.2921227Z msg = Cannot scrape callname=is_available in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py line=70. 2025-12-04T09:46:17.2922284Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:46:17.2923047Z Check if the current accelerator is available at runtime: it was build, all the 2025-12-04T09:46:17.2923729Z required drivers are available and at least one device is visible. 2025-12-04T09:46:17.2924292Z See :ref:`accelerator` for details. 2025-12-04T09:46:17.2924586Z 2025-12-04T09:46:17.2924682Z Returns: 2025-12-04T09:46:17.2925144Z bool: A boolean indicating if there is an available :ref:`accelerator`. 2025-12-04T09:46:17.2925612Z 2025-12-04T09:46:17.2925934Z .. note:: This API delegates to the device-specific version of `is_available`. 2025-12-04T09:46:17.2926644Z On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set, 2025-12-04T09:46:17.2927354Z this function will NOT poison fork. Otherwise, it will. For more details, see 2025-12-04T09:46:17.2927941Z :ref:`multiprocessing-poison-fork-note`. 2025-12-04T09:46:17.2928227Z 2025-12-04T09:46:17.2928343Z Example:: 2025-12-04T09:46:17.2928485Z 2025-12-04T09:46:17.2928810Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:46:17.2929331Z 2025-12-04T09:46:17.2930106Z Original Error: SyntaxError('invalid syntax', ('', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78)) 2025-12-04T09:46:17.2930878Z 2025-12-04T09:46:17.2931185Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:46:17.2931714Z ^ 2025-12-04T09:46:17.2958445Z msg = Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py line=239. 2025-12-04T09:46:17.2959493Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:46:17.2960149Z Wait for all kernels in all streams on the given device to complete. 2025-12-04T09:46:17.2960512Z 2025-12-04T09:46:17.2960606Z Args: 2025-12-04T09:46:17.2961113Z device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match 2025-12-04T09:46:17.2961879Z the current :ref:`accelerator` device type. If not given, 2025-12-04T09:46:17.2962514Z use :func:`torch.accelerator.current_device_index` by default. 2025-12-04T09:46:17.2962868Z 2025-12-04T09:46:17.2963229Z .. note:: This function is a no-op if the current :ref:`accelerator` is not initialized. 2025-12-04T09:46:17.2963733Z 2025-12-04T09:46:17.2963830Z Example:: 2025-12-04T09:46:17.2963989Z 2025-12-04T09:46:17.2964143Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-12-04T09:46:17.2964732Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:46:17.2965327Z >>> start_event = torch.Event(enable_timing=True) 2025-12-04T09:46:17.2965770Z >>> end_event = torch.Event(enable_timing=True) 2025-12-04T09:46:17.2966172Z >>> start_event.record() 2025-12-04T09:46:17.2966937Z >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator()) 2025-12-04T09:46:17.2967478Z >>> sum = torch.sum(tensor) 2025-12-04T09:46:17.2967952Z >>> end_event.record() 2025-12-04T09:46:17.2968301Z >>> torch.accelerator.synchronize() 2025-12-04T09:46:17.2968746Z >>> elapsed_time_ms = start_event.elapsed_time(end_event) 2025-12-04T09:46:17.2969163Z 2025-12-04T09:46:17.2969943Z Original Error: SyntaxError('invalid syntax', ('', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78)) 2025-12-04T09:46:17.2970712Z 2025-12-04T09:46:17.2971004Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:46:17.2971566Z ^ 2025-12-04T09:46:17.3296807Z msg = Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py line=448. 2025-12-04T09:46:17.3297816Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:46:17.3298374Z Retrieves the CUDA runtime API module. 2025-12-04T09:46:17.3298635Z 2025-12-04T09:46:17.3298640Z 2025-12-04T09:46:17.3298927Z This function initializes the CUDA runtime environment if it is not already 2025-12-04T09:46:17.3299619Z initialized and returns the CUDA runtime API module (_cudart). The CUDA 2025-12-04T09:46:17.3300543Z runtime API module provides access to various CUDA runtime functions. 2025-12-04T09:46:17.3300932Z 2025-12-04T09:46:17.3301040Z Args: 2025-12-04T09:46:17.3301263Z ``None`` 2025-12-04T09:46:17.3301429Z 2025-12-04T09:46:17.3301523Z Returns: 2025-12-04T09:46:17.3301835Z module: The CUDA runtime API module (_cudart). 2025-12-04T09:46:17.3302123Z 2025-12-04T09:46:17.3302214Z Raises: 2025-12-04T09:46:17.3302622Z RuntimeError: If CUDA cannot be re-initialized in a forked subprocess. 2025-12-04T09:46:17.3303446Z AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable. 2025-12-04T09:46:17.3303992Z 2025-12-04T09:46:17.3304158Z Example of CUDA operations with profiling: 2025-12-04T09:46:17.3304533Z >>> import torch 2025-12-04T09:46:17.3304873Z >>> from torch.cuda import cudart, check_error 2025-12-04T09:46:17.3305254Z >>> import os 2025-12-04T09:46:17.3305506Z >>> 2025-12-04T09:46:17.3305773Z >>> os.environ["CUDA_PROFILE"] = "1" 2025-12-04T09:46:17.3306123Z >>> 2025-12-04T09:46:17.3306397Z >>> def perform_cuda_operations_with_streams(): 2025-12-04T09:46:17.3306813Z >>> stream = torch.cuda.Stream() 2025-12-04T09:46:17.3307201Z >>> with torch.cuda.stream(stream): 2025-12-04T09:46:17.3307600Z >>> x = torch.randn(100, 100, device='cuda') 2025-12-04T09:46:17.3308018Z >>> y = torch.randn(100, 100, device='cuda') 2025-12-04T09:46:17.3308406Z >>> z = torch.mul(x, y) 2025-12-04T09:46:17.3308751Z >>> return z 2025-12-04T09:46:17.3309010Z >>> 2025-12-04T09:46:17.3309268Z >>> torch.cuda.synchronize() 2025-12-04T09:46:17.3309664Z >>> print("====== Start nsys profiling ======") 2025-12-04T09:46:17.3310088Z >>> check_error(cudart().cudaProfilerStart()) 2025-12-04T09:46:17.3310532Z >>> with torch.autograd.profiler.emit_nvtx(): 2025-12-04T09:46:17.3310995Z >>> result = perform_cuda_operations_with_streams() 2025-12-04T09:46:17.3311430Z >>> print("CUDA operations completed.") 2025-12-04T09:46:17.3311890Z >>> check_error(torch.cuda.cudart().cudaProfilerStop()) 2025-12-04T09:46:17.3312352Z >>> print("====== End nsys profiling ======") 2025-12-04T09:46:17.3312621Z 2025-12-04T09:46:17.3312857Z To run this example and save the profiling information, execute: 2025-12-04T09:46:17.3313878Z >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T09:46:17.3314440Z 2025-12-04T09:46:17.3314718Z This command profiles the CUDA operations in the provided script and saves 2025-12-04T09:46:17.3315559Z the profiling information to a file named `trace_name.prof`. 2025-12-04T09:46:17.3316195Z The `--profile-from-start off` option ensures that profiling starts only 2025-12-04T09:46:17.3316752Z after the `cudaProfilerStart` call in the script. 2025-12-04T09:46:17.3317300Z The `--csv` and `--print-summary` options format the profiling output as a 2025-12-04T09:46:17.3317842Z CSV file and print a summary, respectively. 2025-12-04T09:46:17.3318388Z The `-o` option specifies the output file name, and the `-f` option forces the 2025-12-04T09:46:17.3318981Z overwrite of the output file if it already exists. 2025-12-04T09:46:17.3319374Z 2025-12-04T09:46:17.3320240Z Original Error: SyntaxError('invalid syntax', ('', 1, 1, '$ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py\n', 1, 2)) 2025-12-04T09:46:17.3321130Z 2025-12-04T09:46:17.3321527Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T09:46:17.3322167Z ^ 2025-12-04T09:46:18.9227220Z msg = Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=39. 2025-12-04T09:46:18.9228212Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:46:18.9228645Z 2025-12-04T09:46:18.9228892Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that 2025-12-04T09:46:18.9229502Z maps ``func`` over some dimension of the inputs. Semantically, vmap 2025-12-04T09:46:18.9230095Z pushes the map into PyTorch operations called by ``func``, effectively 2025-12-04T09:46:18.9230604Z vectorizing those operations. 2025-12-04T09:46:18.9230831Z 2025-12-04T09:46:18.9231070Z vmap is useful for handling batch dimensions: one can write a function 2025-12-04T09:46:18.9231708Z ``func`` that runs on examples and then lift it to a function that can 2025-12-04T09:46:18.9232301Z take batches of examples with ``vmap(func)``. vmap can also be used to 2025-12-04T09:46:18.9232933Z compute batched gradients when composed with autograd. 2025-12-04T09:46:18.9233247Z 2025-12-04T09:46:18.9233378Z .. note:: 2025-12-04T09:46:18.9233726Z :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for 2025-12-04T09:46:18.9234210Z convenience. Use whichever one you'd like. 2025-12-04T09:46:18.9234478Z 2025-12-04T09:46:18.9234566Z Args: 2025-12-04T09:46:18.9234936Z func (function): A Python function that takes one or more arguments. 2025-12-04T09:46:18.9235493Z Must return one or more Tensors. 2025-12-04T09:46:18.9235970Z in_dims (int or nested structure): Specifies which dimension of the 2025-12-04T09:46:18.9236516Z inputs should be mapped over. ``in_dims`` should have a 2025-12-04T09:46:18.9237070Z structure like the inputs. If the ``in_dim`` for a particular 2025-12-04T09:46:18.9237631Z input is None, then that indicates there is no map dimension. 2025-12-04T09:46:18.9238074Z Default: 0. 2025-12-04T09:46:18.9238459Z out_dims (int or Tuple[int]): Specifies where the mapped dimension 2025-12-04T09:46:18.9239171Z should appear in the outputs. If ``out_dims`` is a Tuple, then 2025-12-04T09:46:18.9239849Z it should have one element per output. Default: 0. 2025-12-04T09:46:18.9240355Z randomness (str): Specifies whether the randomness in this 2025-12-04T09:46:18.9240941Z vmap should be the same or different across batches. If 'different', 2025-12-04T09:46:18.9241587Z the randomness for each batch will be different. If 'same', the 2025-12-04T09:46:18.9242253Z randomness will be the same across batches. If 'error', any calls to 2025-12-04T09:46:18.9242874Z random functions will error. Default: 'error'. WARNING: this flag 2025-12-04T09:46:18.9243743Z only applies to random PyTorch operations and does not apply to 2025-12-04T09:46:18.9244262Z Python's random module or numpy randomness. 2025-12-04T09:46:18.9244929Z chunk_size (None or int): If None (default), apply a single vmap over inputs. 2025-12-04T09:46:18.9245577Z If not None, then compute the vmap :attr:`chunk_size` samples at a time. 2025-12-04T09:46:18.9246256Z Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop. 2025-12-04T09:46:18.9246985Z If you run into memory issues computing the vmap, please try a non-None chunk_size. 2025-12-04T09:46:18.9247437Z 2025-12-04T09:46:18.9247534Z Returns: 2025-12-04T09:46:18.9247884Z Returns a new "batched" function. It takes the same inputs as 2025-12-04T09:46:18.9248437Z ``func``, except each input has an extra dimension at the index 2025-12-04T09:46:18.9248987Z specified by ``in_dims``. It takes returns the same outputs as 2025-12-04T09:46:18.9249549Z ``func``, except each output has an extra dimension at the index 2025-12-04T09:46:18.9250015Z specified by ``out_dims``. 2025-12-04T09:46:18.9250226Z 2025-12-04T09:46:18.9250319Z .. warning: 2025-12-04T09:46:18.9250696Z :func:`vmap` works best with functional-style code. Please do not 2025-12-04T09:46:18.9251275Z perform any side-effects in ``func``, with the exception of 2025-12-04T09:46:18.9251893Z in-place PyTorch operations. Examples of side-effects include mutating 2025-12-04T09:46:18.9252546Z Python data structures and assigning values to variables not captured 2025-12-04T09:46:18.9253044Z in ``func``. 2025-12-04T09:46:18.9253201Z 2025-12-04T09:46:18.9253482Z One example of using :func:`vmap` is to compute batched dot products. PyTorch 2025-12-04T09:46:18.9254125Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully 2025-12-04T09:46:18.9254760Z rummaging through docs, use :func:`vmap` to construct a new function. 2025-12-04T09:46:18.9255150Z 2025-12-04T09:46:18.9255294Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:46:18.9255754Z >>> batched_dot = torch.func.vmap(torch.dot) # [N, D], [N, D] -> [N] 2025-12-04T09:46:18.9256251Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T09:46:18.9256637Z >>> batched_dot(x, y) 2025-12-04T09:46:18.9256822Z 2025-12-04T09:46:18.9257088Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler 2025-12-04T09:46:18.9257588Z model authoring experience. 2025-12-04T09:46:18.9257800Z 2025-12-04T09:46:18.9257920Z >>> batch_size, feature_size = 3, 5 2025-12-04T09:46:18.9258359Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T09:46:18.9258779Z >>> 2025-12-04T09:46:18.9259006Z >>> def model(feature_vec): 2025-12-04T09:46:18.9259357Z >>> # Very simple linear model with activation 2025-12-04T09:46:18.9259770Z >>> return feature_vec.dot(weights).relu() 2025-12-04T09:46:18.9260117Z >>> 2025-12-04T09:46:18.9260414Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T09:46:18.9260855Z >>> result = torch.vmap(model)(examples) 2025-12-04T09:46:18.9261110Z 2025-12-04T09:46:18.9261394Z :func:`vmap` can also help vectorize computations that were previously difficult 2025-12-04T09:46:18.9262081Z or impossible to batch. One example is higher-order gradient computation. 2025-12-04T09:46:18.9262746Z The PyTorch autograd engine computes vjps (vector-Jacobian products). 2025-12-04T09:46:18.9263401Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually 2025-12-04T09:46:18.9264065Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`, 2025-12-04T09:46:18.9264753Z we can vectorize the whole computation, computing the Jacobian in a single 2025-12-04T09:46:18.9265277Z call to ``autograd.grad``. 2025-12-04T09:46:18.9265472Z 2025-12-04T09:46:18.9265565Z >>> # Setup 2025-12-04T09:46:18.9265813Z >>> N = 5 2025-12-04T09:46:18.9266064Z >>> f = lambda x: x**2 2025-12-04T09:46:18.9266379Z >>> x = torch.randn(N, requires_grad=True) 2025-12-04T09:46:18.9266831Z >>> y = f(x) 2025-12-04T09:46:18.9267098Z >>> I_N = torch.eye(N) 2025-12-04T09:46:18.9267370Z >>> 2025-12-04T09:46:18.9267741Z >>> # Sequential approach 2025-12-04T09:46:18.9268199Z >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0] 2025-12-04T09:46:18.9268710Z >>> for v in I_N.unbind()] 2025-12-04T09:46:18.9269094Z >>> jacobian = torch.stack(jacobian_rows) 2025-12-04T09:46:18.9269452Z >>> 2025-12-04T09:46:18.9269711Z >>> # vectorized gradient computation 2025-12-04T09:46:18.9270061Z >>> def get_vjp(v): 2025-12-04T09:46:18.9270378Z >>> return torch.autograd.grad(y, x, v) 2025-12-04T09:46:18.9270776Z >>> jacobian = torch.vmap(get_vjp)(I_N) 2025-12-04T09:46:18.9271025Z 2025-12-04T09:46:18.9271321Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions 2025-12-04T09:46:18.9271771Z 2025-12-04T09:46:18.9271882Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:46:18.9272230Z >>> batched_dot = torch.vmap( 2025-12-04T09:46:18.9272574Z ... torch.vmap(torch.dot) 2025-12-04T09:46:18.9272909Z ... ) # [N1, N0, D], [N1, N0, D] -> [N1, N0] 2025-12-04T09:46:18.9273325Z >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5) 2025-12-04T09:46:18.9273750Z >>> batched_dot(x, y) # tensor of size [2, 3] 2025-12-04T09:46:18.9274015Z 2025-12-04T09:46:18.9274285Z If the inputs are not batched along the first dimension, ``in_dims`` specifies 2025-12-04T09:46:18.9274866Z the dimension that each inputs are batched along as 2025-12-04T09:46:18.9275173Z 2025-12-04T09:46:18.9275375Z >>> torch.dot # [N], [N] -> [] 2025-12-04T09:46:18.9275865Z >>> batched_dot = torch.vmap(torch.dot, in_dims=1) # [N, D], [N, D] -> [D] 2025-12-04T09:46:18.9276381Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T09:46:18.9276752Z >>> batched_dot( 2025-12-04T09:46:18.9277024Z ... x, y 2025-12-04T09:46:18.9277386Z ... ) # output is [5] instead of [2] if batched along the 0th dimension 2025-12-04T09:46:18.9277749Z 2025-12-04T09:46:18.9278041Z If there are multiple inputs each of which is batched along different dimensions, 2025-12-04T09:46:18.9278703Z ``in_dims`` must be a tuple with the batch dimension for each input as 2025-12-04T09:46:18.9279059Z 2025-12-04T09:46:18.9279183Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:46:18.9279664Z >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None)) # [N, D], [D] -> [N] 2025-12-04T09:46:18.9280203Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T09:46:18.9280566Z >>> batched_dot( 2025-12-04T09:46:18.9280815Z ... x, y 2025-12-04T09:46:18.9281182Z ... ) # second arg doesn't have a batch dim because in_dim[1] was None 2025-12-04T09:46:18.9281530Z 2025-12-04T09:46:18.9281806Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct 2025-12-04T09:46:18.9282336Z matching the shape of the input: 2025-12-04T09:46:18.9282561Z 2025-12-04T09:46:18.9282721Z >>> f = lambda dict: torch.dot(dict["x"], dict["y"]) 2025-12-04T09:46:18.9283144Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T09:46:18.9283523Z >>> input = {"x": x, "y": y} 2025-12-04T09:46:18.9283923Z >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},)) 2025-12-04T09:46:18.9284367Z >>> batched_dot(input) 2025-12-04T09:46:18.9284556Z 2025-12-04T09:46:18.9284875Z By default, the output is batched along the first dimension. However, it can be batched 2025-12-04T09:46:18.9285460Z along any dimension by using ``out_dims`` 2025-12-04T09:46:18.9285715Z 2025-12-04T09:46:18.9285818Z >>> f = lambda x: x**2 2025-12-04T09:46:18.9286124Z >>> x = torch.randn(2, 5) 2025-12-04T09:46:18.9286472Z >>> batched_pow = torch.vmap(f, out_dims=1) 2025-12-04T09:46:18.9286839Z >>> batched_pow(x) # [5, 2] 2025-12-04T09:46:18.9287058Z 2025-12-04T09:46:18.9287384Z For any function that uses kwargs, the returned function will not batch the kwargs but will 2025-12-04T09:46:18.9288051Z accept kwargs 2025-12-04T09:46:18.9288204Z 2025-12-04T09:46:18.9288316Z >>> x = torch.randn([2, 5]) 2025-12-04T09:46:18.9288637Z >>> def fn(x, scale=4.): 2025-12-04T09:46:18.9289033Z >>> return x * scale 2025-12-04T09:46:18.9289323Z >>> 2025-12-04T09:46:18.9289575Z >>> batched_pow = torch.vmap(fn) 2025-12-04T09:46:18.9289960Z >>> assert torch.allclose(batched_pow(x), x * 4) 2025-12-04T09:46:18.9290506Z >>> batched_pow(x, scale=x) # scale is not batched, output has shape [2, 2, 5] 2025-12-04T09:46:18.9290912Z 2025-12-04T09:46:18.9291022Z .. note:: 2025-12-04T09:46:18.9291411Z vmap does not provide general autobatching or handle variable-length 2025-12-04T09:46:18.9291902Z sequences out of the box. 2025-12-04T09:46:18.9292127Z 2025-12-04T09:46:18.9292723Z Original Error: IndentationError('expected an indented block after function definition on line 4', ('', 5, 1, '_._ = None\n', 5, 2)) 2025-12-04T09:46:18.9293447Z 2025-12-04T09:46:18.9293555Z _._ = None 2025-12-04T09:46:18.9293780Z ^ 2025-12-04T09:46:18.9294490Z msg = Cannot scrape callname=grad in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=306. 2025-12-04T09:46:18.9295460Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:46:18.9296149Z ``grad`` operator helps computing gradients of ``func`` with respect to the 2025-12-04T09:46:18.9296781Z input(s) specified by ``argnums``. This operator can be nested to 2025-12-04T09:46:18.9297251Z compute higher-order gradients. 2025-12-04T09:46:18.9297501Z 2025-12-04T09:46:18.9297593Z Args: 2025-12-04T09:46:18.9297972Z func (Callable): A Python function that takes one or more arguments. 2025-12-04T09:46:18.9298637Z Must return a single-element Tensor. If specified ``has_aux`` equals ``True``, 2025-12-04T09:46:18.9299381Z function can return a tuple of single-element Tensor and other auxiliary objects: 2025-12-04T09:46:18.9299944Z ``(output, aux)``. 2025-12-04T09:46:18.9300681Z argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to. 2025-12-04T09:46:18.9301360Z ``argnums`` can be single integer or tuple of integers. Default: 0. 2025-12-04T09:46:18.9301975Z has_aux (bool): Flag indicating that ``func`` returns a tensor and other 2025-12-04T09:46:18.9302541Z auxiliary objects: ``(output, aux)``. Default: False. 2025-12-04T09:46:18.9302855Z 2025-12-04T09:46:18.9302964Z Returns: 2025-12-04T09:46:18.9303415Z Function to compute gradients with respect to its inputs. By default, the output of 2025-12-04T09:46:18.9304141Z the function is the gradient tensor(s) with respect to the first argument. 2025-12-04T09:46:18.9304854Z If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects 2025-12-04T09:46:18.9305576Z is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with 2025-12-04T09:46:18.9306169Z respect to each ``argnums`` value is returned. 2025-12-04T09:46:18.9306469Z 2025-12-04T09:46:18.9306581Z Example of using ``grad``: 2025-12-04T09:46:18.9306793Z 2025-12-04T09:46:18.9306911Z >>> # xdoctest: +SKIP 2025-12-04T09:46:18.9307228Z >>> from torch.func import grad 2025-12-04T09:46:18.9307584Z >>> x = torch.randn([]) 2025-12-04T09:46:18.9307931Z >>> cos_x = grad(lambda x: torch.sin(x))(x) 2025-12-04T09:46:18.9308325Z >>> assert torch.allclose(cos_x, x.cos()) 2025-12-04T09:46:18.9308693Z >>> 2025-12-04T09:46:18.9308948Z >>> # Second-order gradients 2025-12-04T09:46:18.9309333Z >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x) 2025-12-04T09:46:18.9309796Z >>> assert torch.allclose(neg_sin_x, -x.sin()) 2025-12-04T09:46:18.9310085Z 2025-12-04T09:46:18.9310365Z When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients: 2025-12-04T09:46:18.9310784Z 2025-12-04T09:46:18.9311041Z >>> # xdoctest: +SKIP 2025-12-04T09:46:18.9311372Z >>> from torch.func import grad, vmap 2025-12-04T09:46:18.9311762Z >>> batch_size, feature_size = 3, 5 2025-12-04T09:46:18.9312197Z >>> 2025-12-04T09:46:18.9312451Z >>> def model(weights, feature_vec): 2025-12-04T09:46:18.9312861Z >>> # Very simple linear model with activation 2025-12-04T09:46:18.9313273Z >>> assert feature_vec.dim() == 1 2025-12-04T09:46:18.9313661Z >>> return feature_vec.dot(weights).relu() 2025-12-04T09:46:18.9314032Z >>> 2025-12-04T09:46:18.9314322Z >>> def compute_loss(weights, example, target): 2025-12-04T09:46:18.9314729Z >>> y = model(weights, example) 2025-12-04T09:46:18.9315123Z >>> return ((y - target) ** 2).mean() # MSELoss 2025-12-04T09:46:18.9315578Z >>> 2025-12-04T09:46:18.9315919Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T09:46:18.9316418Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T09:46:18.9316854Z >>> targets = torch.randn(batch_size) 2025-12-04T09:46:18.9317249Z >>> inputs = (weights, examples, targets) 2025-12-04T09:46:18.9317772Z >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))( 2025-12-04T09:46:18.9318276Z ... *inputs 2025-12-04T09:46:18.9318540Z ... ) 2025-12-04T09:46:18.9318677Z 2025-12-04T09:46:18.9318884Z Example of using ``grad`` with ``has_aux`` and ``argnums``: 2025-12-04T09:46:18.9319209Z 2025-12-04T09:46:18.9319316Z >>> # xdoctest: +SKIP 2025-12-04T09:46:18.9319643Z >>> from torch.func import grad 2025-12-04T09:46:18.9320006Z >>> def my_loss_func(y, y_pred): 2025-12-04T09:46:18.9320384Z >>> loss_per_sample = (0.5 * y_pred - y) ** 2 2025-12-04T09:46:18.9320790Z >>> loss = loss_per_sample.mean() 2025-12-04T09:46:18.9321183Z >>> return loss, (y_pred, loss_per_sample) 2025-12-04T09:46:18.9321535Z >>> 2025-12-04T09:46:18.9321841Z >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True) 2025-12-04T09:46:18.9322254Z >>> y_true = torch.rand(4) 2025-12-04T09:46:18.9322745Z >>> y_preds = torch.rand(4, requires_grad=True) 2025-12-04T09:46:18.9323135Z >>> out = fn(y_true, y_preds) 2025-12-04T09:46:18.9323645Z >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample)) 2025-12-04T09:46:18.9324054Z 2025-12-04T09:46:18.9324170Z .. note:: 2025-12-04T09:46:18.9324495Z Using PyTorch ``torch.no_grad`` together with ``grad``. 2025-12-04T09:46:18.9324827Z 2025-12-04T09:46:18.9324989Z Case 1: Using ``torch.no_grad`` inside a function: 2025-12-04T09:46:18.9325293Z 2025-12-04T09:46:18.9325402Z >>> # xdoctest: +SKIP 2025-12-04T09:46:18.9325726Z >>> def f(x): 2025-12-04T09:46:18.9326017Z >>> with torch.no_grad(): 2025-12-04T09:46:18.9326369Z >>> c = x ** 2 2025-12-04T09:46:18.9326700Z >>> return x - c 2025-12-04T09:46:18.9326905Z 2025-12-04T09:46:18.9327123Z In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``. 2025-12-04T09:46:18.9327498Z 2025-12-04T09:46:18.9327703Z Case 2: Using ``grad`` inside ``torch.no_grad`` context manager: 2025-12-04T09:46:18.9328054Z 2025-12-04T09:46:18.9328161Z >>> # xdoctest: +SKIP 2025-12-04T09:46:18.9328498Z >>> with torch.no_grad(): 2025-12-04T09:46:18.9328821Z >>> grad(f)(x) 2025-12-04T09:46:18.9329026Z 2025-12-04T09:46:18.9329271Z In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the 2025-12-04T09:46:18.9339670Z outer one. This is because ``grad`` is a "function transform": its result 2025-12-04T09:46:18.9340338Z should not depend on the result of a context manager outside of ``f``. 2025-12-04T09:46:18.9340729Z 2025-12-04T09:46:18.9340840Z 2025-12-04T09:46:18.9341750Z Original Error: IndentationError('expected an indented block after function definition on line 5', ('', 6, 1, '_._ = None\n', 6, 2)) 2025-12-04T09:46:18.9342588Z 2025-12-04T09:46:18.9342684Z _._ = None 2025-12-04T09:46:18.9342921Z ^ 2025-12-04T09:46:22.1272659Z msg = Cannot scrape callname=CustomOpDef.register_fake in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py line=402. 2025-12-04T09:46:22.1273797Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:46:22.1274413Z Register a FakeTensor implementation for this custom op. 2025-12-04T09:46:22.1274762Z 2025-12-04T09:46:22.1275045Z This is necessary to get the operator to work efficiently with torch.compile. 2025-12-04T09:46:22.1275539Z 2025-12-04T09:46:22.1275793Z The Fake impl (sometimes also known as a meta kernel or abstract impl) 2025-12-04T09:46:22.1276441Z specifies the behavior of this operator on Tensors that carry no data. 2025-12-04T09:46:22.1277028Z Given some input Tensors with certain properties 2025-12-04T09:46:22.1277627Z (sizes/strides/storage_offset/device), it specifies what the properties of 2025-12-04T09:46:22.1278191Z the output Tensors are. 2025-12-04T09:46:22.1278404Z 2025-12-04T09:46:22.1278648Z Please see :func:`torch.library.register_fake` for more details. 2025-12-04T09:46:22.1279011Z 2025-12-04T09:46:22.1279103Z Args: 2025-12-04T09:46:22.1279449Z fn (Callable): The function to register as the FakeTensor 2025-12-04T09:46:22.1279896Z implementation. 2025-12-04T09:46:22.1280105Z 2025-12-04T09:46:22.1280202Z Examples: 2025-12-04T09:46:22.1280471Z >>> import torch 2025-12-04T09:46:22.1280785Z >>> import numpy as np 2025-12-04T09:46:22.1281140Z >>> from torch import Tensor 2025-12-04T09:46:22.1281470Z >>> 2025-12-04T09:46:22.1281841Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T09:46:22.1282452Z >>> @torch.library.custom_op("mylib::linear", mutates_args=()) 2025-12-04T09:46:22.1283014Z >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T09:46:22.1283509Z >>> return (x @ weight.t()) + bias 2025-12-04T09:46:22.1283872Z >>> 2025-12-04T09:46:22.1284132Z >>> @linear.register_fake 2025-12-04T09:46:22.1284487Z >>> def _(x, weight, bias): 2025-12-04T09:46:22.1284841Z >>> assert x.dim() == 2 2025-12-04T09:46:22.1285192Z >>> assert weight.dim() == 2 2025-12-04T09:46:22.1285574Z >>> assert bias.dim() == 1 2025-12-04T09:46:22.1285966Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T09:46:22.1286390Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T09:46:22.1286802Z >>> assert x.device == weight.device 2025-12-04T09:46:22.1287243Z >>> return x.new_empty(x.size(0), weight.size(0)) 2025-12-04T09:46:22.1287641Z >>> 2025-12-04T09:46:22.1287909Z >>> x = torch.randn(2, 2) 2025-12-04T09:46:22.1288262Z >>> weight = torch.randn(2, 2) 2025-12-04T09:46:22.1288623Z >>> bias = torch.randn(2) 2025-12-04T09:46:22.1289010Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:46:22.1289504Z >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias) 2025-12-04T09:46:22.1290041Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:46:22.1290610Z >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias)) 2025-12-04T09:46:22.1291122Z >>> 2025-12-04T09:46:22.1291463Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T09:46:22.1292034Z >>> @torch.library.custom_op("mylib::nonzero", mutates_args=()) 2025-12-04T09:46:22.1292524Z >>> def nonzero(x: Tensor) -> Tensor: 2025-12-04T09:46:22.1293175Z >>> x_np = x.cpu().numpy() 2025-12-04T09:46:22.1293567Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T09:46:22.1294135Z >>> return torch.tensor(res, device=x.device) 2025-12-04T09:46:22.1294517Z >>> 2025-12-04T09:46:22.1294775Z >>> @nonzero.register_fake 2025-12-04T09:46:22.1295116Z >>> def _(x): 2025-12-04T09:46:22.1295477Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T09:46:22.1295962Z >>> # Since we cannot peek at the data in an abstract impl, 2025-12-04T09:46:22.1296470Z >>> # we use the ctx object to construct a new symint that 2025-12-04T09:46:22.1296933Z >>> # represents the data-dependent size. 2025-12-04T09:46:22.1297353Z >>> ctx = torch.library.get_ctx() 2025-12-04T09:46:22.1297733Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T09:46:22.1298111Z >>> shape = [nnz, x.dim()] 2025-12-04T09:46:22.1298529Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T09:46:22.1298932Z >>> return result 2025-12-04T09:46:22.1299248Z >>> 2025-12-04T09:46:22.1299530Z >>> x = torch.tensor([0, 1, 2, 0, 0, 1]) 2025-12-04T09:46:22.1299934Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:46:22.1300606Z >>> out = torch.compile(nonzero, fullgraph=True)(x) 2025-12-04T09:46:22.1301062Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:46:22.1301481Z >>> assert torch.allclose(out, x.nonzero()) 2025-12-04T09:46:22.1301770Z 2025-12-04T09:46:22.1301861Z 2025-12-04T09:46:22.1302611Z Original Error: IndentationError('expected an indented block after function definition on line 36', ('', 37, 1, '_._ = None\n', 37, 2)) 2025-12-04T09:46:22.1303345Z 2025-12-04T09:46:22.1303451Z _._ = None 2025-12-04T09:46:22.1303667Z ^ 2025-12-04T09:46:22.1501807Z msg = Cannot scrape callname=unsafe_generate_fake_kernels in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_profile.py line=94. 2025-12-04T09:46:22.1502942Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-12-04T09:46:22.1503376Z 2025-12-04T09:46:22.1503644Z Registers a fake kernel based on the given operator profiles. This fake 2025-12-04T09:46:22.1504308Z kernel registration will override any existing fake kernel registrations. 2025-12-04T09:46:22.1504735Z 2025-12-04T09:46:22.1504976Z The input is a dictionary mapping operator names to a set of operator 2025-12-04T09:46:22.1505615Z profiles, which we will use to generate fake kernels. The operator profiles 2025-12-04T09:46:22.1506264Z are a record of the input and output tensor metadata. Based on this 2025-12-04T09:46:22.1506885Z information we will match a given input to the recorded profile, and return 2025-12-04T09:46:22.1507550Z an output with the same metadata as in the recorded profile. If a profile 2025-12-04T09:46:22.1508103Z doesn't exist then an exception will be thrown. 2025-12-04T09:46:22.1508383Z 2025-12-04T09:46:22.1508655Z The fake kernel generation is considered unsafe because it relies on the 2025-12-04T09:46:22.1509300Z rigid, pre-defined operator profiles that do not account for potential 2025-12-04T09:46:22.1509975Z variations in output behavior. Specifically, the generated kernels assume a 2025-12-04T09:46:22.1510682Z fixed relationship between input and output ranks. However, in reality, it's 2025-12-04T09:46:22.1511366Z possible that data-dependent operations may produce outputs of different 2025-12-04T09:46:22.1512026Z ranks even when given inputs of the same rank. The generated fake kernels 2025-12-04T09:46:22.1512657Z are inflexible and unable to accommodate these nuances, making them 2025-12-04T09:46:22.1513141Z potentially unsafe. 2025-12-04T09:46:22.1513306Z 2025-12-04T09:46:22.1513394Z Args: 2025-12-04T09:46:22.1513770Z op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator 2025-12-04T09:46:22.1514607Z name to a set of operator profiles from which we will generate fake 2025-12-04T09:46:22.1515060Z kernels. 2025-12-04T09:46:22.1515408Z 2025-12-04T09:46:22.1515503Z Examples: 2025-12-04T09:46:22.1515649Z 2025-12-04T09:46:22.1515841Z >>> # Example: Registering an op-profile from draft-export 2025-12-04T09:46:22.1516269Z >>> import torch 2025-12-04T09:46:22.1516610Z >>> from torch.export._draft_export import draft_export 2025-12-04T09:46:22.1517019Z >>> 2025-12-04T09:46:22.1517381Z >>> @torch.library.custom_op("mylib::foo", mutates_args=()) 2025-12-04T09:46:22.1517846Z >>> def foo(x: Tensor, y: Tensor) -> Tensor: 2025-12-04T09:46:22.1518222Z >>> return x + y 2025-12-04T09:46:22.1518498Z >>> 2025-12-04T09:46:22.1518739Z >>> class M(torch.nn.Module): 2025-12-04T09:46:22.1519084Z >>> def forward(self, a, b): 2025-12-04T09:46:22.1519483Z >>> res = torch.ops.mylib.foo(a, b) # no fake impl 2025-12-04T09:46:22.1519879Z >>> return res 2025-12-04T09:46:22.1520164Z >>> 2025-12-04T09:46:22.1520485Z >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4)) 2025-12-04T09:46:22.1520911Z >>> 2025-12-04T09:46:22.1521365Z >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles): 2025-12-04T09:46:22.1521980Z >>> decomp = ep.run_decompositions() 2025-12-04T09:46:22.1522234Z 2025-12-04T09:46:22.1522239Z 2025-12-04T09:46:22.1522796Z Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced') 2025-12-04T09:46:22.1523475Z 2025-12-04T09:46:22.8738626Z msg = Cannot scrape callname=ActivationSparsifier in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py line=16. 2025-12-04T09:46:22.8740062Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:46:22.8740481Z 2025-12-04T09:46:22.8740820Z The Activation sparsifier class aims to sparsify/prune activations in a neural 2025-12-04T09:46:22.8741517Z network. The idea is to attach the sparsifier to a layer (or layers) and it 2025-12-04T09:46:22.8742199Z zeroes out the activations based on the mask_fn (or sparsification function) 2025-12-04T09:46:22.8742723Z input by the user. 2025-12-04T09:46:22.8743144Z The mask_fn is applied once all the inputs are aggregated and reduced i.e. 2025-12-04T09:46:22.8743693Z mask = mask_fn(reduce_fn(aggregate_fn(activations))) 2025-12-04T09:46:22.8744010Z 2025-12-04T09:46:22.8744137Z Note:: 2025-12-04T09:46:22.8744632Z The sparsification mask is computed on the input **before it goes through the attached layer**. 2025-12-04T09:46:22.8745133Z 2025-12-04T09:46:22.8745235Z Args: 2025-12-04T09:46:22.8745460Z model (nn.Module): 2025-12-04T09:46:22.8745899Z The model whose layers will be sparsified. The layers that needs to be 2025-12-04T09:46:22.8746577Z sparsified should be added separately using the register_layer() function 2025-12-04T09:46:22.8747106Z aggregate_fn (Optional, Callable): 2025-12-04T09:46:22.8747657Z default aggregate_fn that is used if not specified while registering the layer. 2025-12-04T09:46:22.8748278Z specifies how inputs should be aggregated over time. 2025-12-04T09:46:22.8748908Z The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor. 2025-12-04T09:46:22.8749471Z Example 2025-12-04T09:46:22.8749825Z def add_agg_fn(tensor1, tensor2): return tensor1 + tensor2 2025-12-04T09:46:22.8750291Z reduce_fn (Optional, Callable): 2025-12-04T09:46:22.8750812Z default reduce_fn that is used if not specified while registering the layer. 2025-12-04T09:46:22.8751514Z reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after 2025-12-04T09:46:22.8752069Z calling agg_fn() on all inputs. 2025-12-04T09:46:22.8752675Z Example 2025-12-04T09:46:22.8753081Z def mean_reduce_fn(agg_tensor): return agg_tensor.mean(dim=0) 2025-12-04T09:46:22.8753728Z mask_fn (Optional, Callable): 2025-12-04T09:46:22.8754339Z default mask_fn that is used to create the sparsification mask using the tensor obtained after 2025-12-04T09:46:22.8755109Z calling the reduce_fn(). This is used by default if a custom one is passed in the 2025-12-04T09:46:22.8755725Z register_layer(). 2025-12-04T09:46:22.8756343Z Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config 2025-12-04T09:46:22.8756975Z arguments. 2025-12-04T09:46:22.8757290Z features (Optional, list): 2025-12-04T09:46:22.8757677Z default selected features to sparsify. 2025-12-04T09:46:22.8758256Z If this is non-empty, then the mask_fn will be applied for each feature of the input. 2025-12-04T09:46:22.8758801Z For example, 2025-12-04T09:46:22.8759289Z mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features] 2025-12-04T09:46:22.8759849Z feature_dim (Optional, int): 2025-12-04T09:46:22.8760403Z default dimension of input features. Again, features along this dim will be chosen 2025-12-04T09:46:22.8760975Z for sparsification. 2025-12-04T09:46:22.8761325Z sparse_config (Dict): 2025-12-04T09:46:22.8761783Z Default configuration for the mask_fn. This config will be passed 2025-12-04T09:46:22.8762289Z with the mask_fn() 2025-12-04T09:46:22.8762520Z 2025-12-04T09:46:22.8762613Z Example: 2025-12-04T09:46:22.8762857Z >>> # xdoctest: +SKIP 2025-12-04T09:46:22.8763144Z >>> model = SomeModel() 2025-12-04T09:46:22.8763622Z >>> act_sparsifier = ActivationSparsifier(...) # init activation sparsifier 2025-12-04T09:46:22.8764153Z >>> # Initialize aggregate_fn 2025-12-04T09:46:22.8764477Z >>> def agg_fn(x, y): 2025-12-04T09:46:22.8764771Z >>> return x + y 2025-12-04T09:46:22.8765044Z >>> 2025-12-04T09:46:22.8765283Z >>> # Initialize reduce_fn 2025-12-04T09:46:22.8765599Z >>> def reduce_fn(x): 2025-12-04T09:46:22.8765905Z >>> return torch.mean(x, dim=0) 2025-12-04T09:46:22.8766229Z >>> 2025-12-04T09:46:22.8766466Z >>> # Initialize mask_fn 2025-12-04T09:46:22.8766777Z >>> def mask_fn(data): 2025-12-04T09:46:22.8767117Z >>> return torch.eye(data.shape).to(data.device) 2025-12-04T09:46:22.8767503Z >>> 2025-12-04T09:46:22.8767724Z >>> 2025-12-04T09:46:22.8767982Z >>> act_sparsifier.register_layer( 2025-12-04T09:46:22.8768329Z ... model.some_layer, 2025-12-04T09:46:22.8768648Z ... aggregate_fn=agg_fn, 2025-12-04T09:46:22.8768973Z ... reduce_fn=reduce_fn, 2025-12-04T09:46:22.8769282Z ... mask_fn=mask_fn, 2025-12-04T09:46:22.8769573Z ... ) 2025-12-04T09:46:22.8769796Z >>> 2025-12-04T09:46:22.8770031Z >>> # start training process 2025-12-04T09:46:22.8770349Z >>> for _ in [...]: 2025-12-04T09:46:22.8770633Z >>> # epoch starts 2025-12-04T09:46:22.8770988Z >>> # model.forward(), compute_loss() and model.backwards() 2025-12-04T09:46:22.8771412Z >>> # epoch ends 2025-12-04T09:46:22.8771697Z >>> act_sparsifier.step() 2025-12-04T09:46:22.8772020Z >>> # end training process 2025-12-04T09:46:22.8772348Z >>> sparsifier.squash_mask() 2025-12-04T09:46:22.8772564Z 2025-12-04T09:46:22.8773153Z Original Error: IndentationError("expected an indented block after 'for' statement on line 25", ('', 26, 1, '_._ = None\n', 26, 2)) 2025-12-04T09:46:22.8773857Z 2025-12-04T09:46:22.8773960Z _._ = None 2025-12-04T09:46:22.8774171Z ^ 2025-12-04T09:46:23.6042779Z msg = Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py line=547. 2025-12-04T09:46:23.6044214Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:46:23.6044640Z 2025-12-04T09:46:23.6044961Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh. 2025-12-04T09:46:23.6045833Z The submesh created consists of the dimensions and the communicators indicated by 2025-12-04T09:46:23.6046374Z ``mesh_dim_names`` 2025-12-04T09:46:23.6046532Z 2025-12-04T09:46:23.6046636Z Args: 2025-12-04T09:46:23.6047022Z mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the 2025-12-04T09:46:23.6047643Z mesh dimension of the DeviceMesh to create the submesh for. 2025-12-04T09:46:23.6048079Z Returns: 2025-12-04T09:46:23.6048331Z A :class:`DeviceMesh` object 2025-12-04T09:46:23.6048548Z 2025-12-04T09:46:23.6048866Z The following program runs on each process/rank in an SPMD manner in a world size of 8. 2025-12-04T09:46:23.6049438Z In the first example: 2025-12-04T09:46:23.6049912Z Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]). 2025-12-04T09:46:23.6050608Z Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of DeviceMesh:([4, 5, 6, 7]). 2025-12-04T09:46:23.6051292Z Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of DeviceMesh:([0, 4]). 2025-12-04T09:46:23.6051939Z Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of DeviceMesh:([1, 5]). 2025-12-04T09:46:23.6052583Z Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of DeviceMesh:([2, 6]). 2025-12-04T09:46:23.6053208Z Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of DeviceMesh:([3, 7]). 2025-12-04T09:46:23.6053608Z 2025-12-04T09:46:23.6053714Z In the second example: 2025-12-04T09:46:23.6054208Z Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]). 2025-12-04T09:46:23.6054949Z Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]). 2025-12-04T09:46:23.6055687Z Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]). 2025-12-04T09:46:23.6056419Z Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]). 2025-12-04T09:46:23.6056854Z 2025-12-04T09:46:23.6056983Z Example:: 2025-12-04T09:46:23.6057127Z 2025-12-04T09:46:23.6057243Z >>> # xdoctest: +SKIP("no rank") 2025-12-04T09:46:23.6057673Z >>> from torch.distributed.device_mesh import DeviceMesh 2025-12-04T09:46:23.6058080Z >>> 2025-12-04T09:46:23.6058442Z >>> # Initialize a 2D device mesh as (2, 4) to represent the topology 2025-12-04T09:46:23.6058974Z >>> # of cross-host(dim 0), and within-host (dim 1). 2025-12-04T09:46:23.6059556Z >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T09:46:23.6060090Z >>> tp_mesh = mesh_2d["tp"] 2025-12-04T09:46:23.6060413Z >>> dp_mesh = mesh_2d["dp"] 2025-12-04T09:46:23.6060713Z >>> 2025-12-04T09:46:23.6060943Z >>> # Initialize a 3D mesh. 2025-12-04T09:46:23.6061464Z >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp")) 2025-12-04T09:46:23.6062267Z >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh. 2025-12-04T09:46:23.6062874Z >>> dp_cp_mesh = mesh_3d["dp", "cp"] 2025-12-04T09:46:23.6063230Z >>> cp_dp_mesh = mesh_3d["cp", "dp"] 2025-12-04T09:46:23.6063480Z 2025-12-04T09:46:23.6064254Z Original Error: SyntaxError('positional argument follows keyword argument', ('', 6, 82, 'mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))\n', 6, 83)) 2025-12-04T09:46:23.6065159Z 2025-12-04T09:46:23.6065464Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T09:46:23.6066019Z ^ 2025-12-04T09:46:24.1171172Z msg = Cannot scrape callname=SavePlanner in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/planner.py line=122. 2025-12-04T09:46:24.1172338Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:46:24.1172934Z 2025-12-04T09:46:24.1173280Z Abstract class defining the protocol used by save_state_dict to plan the save process. 2025-12-04T09:46:24.1173744Z 2025-12-04T09:46:24.1174096Z SavePlanners are stateful objects that can be used to customize the whole save process. 2025-12-04T09:46:24.1174571Z 2025-12-04T09:46:24.1174886Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T09:46:24.1175472Z will be visible to the whole process. 2025-12-04T09:46:24.1175718Z 2025-12-04T09:46:24.1176041Z A planner subclass can expect the following sequence of calls during save_state_dict: 2025-12-04T09:46:24.1176494Z 2025-12-04T09:46:24.1176627Z 1) set_up_planner - called on all ranks. 2025-12-04T09:46:24.1177022Z Signals the start of a checkpoint save. 2025-12-04T09:46:24.1177297Z 2025-12-04T09:46:24.1177431Z 2) create_local_plan - called on all ranks. 2025-12-04T09:46:24.1178197Z Process the state_dict and produces a `SavePlan` that will be sent for global planning. 2025-12-04T09:46:24.1178711Z 2025-12-04T09:46:24.1178917Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T09:46:24.1179477Z Takes the SavePlan from all ranks and make any global decision. 2025-12-04T09:46:24.1179830Z 2025-12-04T09:46:24.1179967Z 4) finish_plan - called on all ranks. 2025-12-04T09:46:24.1180454Z This gives each rank a chance to adjust to global planning decisions. 2025-12-04T09:46:24.1180832Z 2025-12-04T09:46:24.1181001Z 5) resolve_data - called multiple times on each rank 2025-12-04T09:46:24.1181532Z Lookups a value on the `state_dict` for the storage layer to write. 2025-12-04T09:46:24.1181891Z 2025-12-04T09:46:24.1182247Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as 2025-12-04T09:46:24.1182929Z most changes can be expressed by changes in a single method. 2025-12-04T09:46:24.1183274Z 2025-12-04T09:46:24.1183408Z There are 3 usual patterns of extension: 2025-12-04T09:46:24.1183676Z 2025-12-04T09:46:24.1183957Z Rewriting state_dict. This is the simplest way to extend the save process as it 2025-12-04T09:46:24.1184644Z doesn't requite understanding the intrincacies of how SavePlan works: 2025-12-04T09:46:24.1185030Z 2025-12-04T09:46:24.1185154Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:46:24.1185550Z >>> class RenamePlanner(DefaultSavePlanner): 2025-12-04T09:46:24.1185936Z >>> def set_up_planner( 2025-12-04T09:46:24.1186236Z >>> self, 2025-12-04T09:46:24.1186502Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T09:46:24.1186887Z >>> storage_meta: Optional[StorageMeta], 2025-12-04T09:46:24.1187273Z >>> is_coordinator: bool, 2025-12-04T09:46:24.1187581Z >>> ) -> None: 2025-12-04T09:46:24.1187861Z >>> # prefix all keys with `foo_`` 2025-12-04T09:46:24.1188430Z >>> super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator) 2025-12-04T09:46:24.1188897Z 2025-12-04T09:46:24.1189276Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted 2025-12-04T09:46:24.1189803Z 2025-12-04T09:46:24.1189927Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:46:24.1190319Z >>> class FP16Planner(DefaultSavePlanner): 2025-12-04T09:46:24.1190701Z >>> def create_local_plan(self): 2025-12-04T09:46:24.1191056Z >>> plan = super().create_local_plan() 2025-12-04T09:46:24.1191426Z >>> for p in plan: 2025-12-04T09:46:24.1191757Z >>> if p.tensor_data is not None: 2025-12-04T09:46:24.1192182Z >>> p.tensor_data.properties.dtype = torch.float16 2025-12-04T09:46:24.1192601Z >>> return plan 2025-12-04T09:46:24.1192872Z >>> 2025-12-04T09:46:24.1193114Z >>> def resolve_data(self, write_item): 2025-12-04T09:46:24.1193628Z >>> item = super().resolve_data(write_item) 2025-12-04T09:46:24.1194224Z >>> return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16) 2025-12-04T09:46:24.1194845Z 2025-12-04T09:46:24.1195268Z Using the global planning step to make central decisions that can't be made individually by each rank 2025-12-04T09:46:24.1195883Z 2025-12-04T09:46:24.1196009Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:46:24.1196395Z >>> from itertools import zip_longest 2025-12-04T09:46:24.1196768Z >>> from dataclasses import replace 2025-12-04T09:46:24.1197183Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner): 2025-12-04T09:46:24.1197815Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0 2025-12-04T09:46:24.1198407Z >>> # This sample doesn't handle ShardedTensors 2025-12-04T09:46:24.1198824Z >>> def create_global_plan(self, all_plans): 2025-12-04T09:46:24.1199247Z >>> iters = [iter(all_plans[0].items)] * len(all_plans) 2025-12-04T09:46:24.1199667Z >>> items_per_rank = [ 2025-12-04T09:46:24.1200025Z >>> [item for item in items if item is not None] 2025-12-04T09:46:24.1201077Z >>> for items in zip(*zip_longest(*iters), strict=True) 2025-12-04T09:46:24.1201492Z >>> ] 2025-12-04T09:46:24.1201750Z >>> all_plans = [ 2025-12-04T09:46:24.1202053Z >>> replace(plan, items=items) 2025-12-04T09:46:24.1202517Z >>> for plan, items in zip(all_plans, items_per_rank, strict=True) 2025-12-04T09:46:24.1202962Z >>> ] 2025-12-04T09:46:24.1203266Z >>> return super().create_global_plan(all_plans) 2025-12-04T09:46:24.1203550Z 2025-12-04T09:46:24.1203846Z Finally, some planners need to save additional metadata in the checkpoint, this is 2025-12-04T09:46:24.1204597Z accomplished by having each rank contribute their data items in the local plan and 2025-12-04T09:46:24.1205166Z the global planner aggregate them: 2025-12-04T09:46:24.1205397Z 2025-12-04T09:46:24.1205530Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:46:24.1205953Z >>> class SaveExtraDataPlanner(DefaultSavePlanner): 2025-12-04T09:46:24.1206402Z >>> def create_local_plan(self) -> SavePlan: 2025-12-04T09:46:24.1206809Z >>> plan = super().create_local_plan() 2025-12-04T09:46:24.1207240Z >>> return replace(plan, planner_data="per-rank-data") 2025-12-04T09:46:24.1207647Z >>> 2025-12-04T09:46:24.1208114Z >>> def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]: 2025-12-04T09:46:24.1208808Z >>> global_plan, metadata = super().create_global_plan(all_plans) 2025-12-04T09:46:24.1209347Z >>> merged_data = [p.planner_data for p in global_plan] 2025-12-04T09:46:24.1209849Z >>> metadata = replace(metadata, planner_data=merged_data) 2025-12-04T09:46:24.1210288Z >>> return global_plan, metadata 2025-12-04T09:46:24.1210544Z 2025-12-04T09:46:24.1211152Z Original Error: IndentationError('expected an indented block after function definition on line 3', ('', 9, 0, '_._ = None\n', 9, -1)) 2025-12-04T09:46:24.1211899Z 2025-12-04T09:46:24.1211992Z _._ = None 2025-12-04T09:46:24.1212227Z ^ 2025-12-04T09:46:24.1213078Z msg = Cannot scrape callname=LoadPlanner in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/planner.py line=305. 2025-12-04T09:46:24.1214161Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:46:24.1214586Z 2025-12-04T09:46:24.1214909Z Abstract class defining the protocol used by load_state_dict to plan the load process. 2025-12-04T09:46:24.1215381Z 2025-12-04T09:46:24.1215708Z LoadPlanner are stateful objects that can be used to customize the whole load process. 2025-12-04T09:46:24.1216170Z 2025-12-04T09:46:24.1216499Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T09:46:24.1217071Z will be visible to the whole process. 2025-12-04T09:46:24.1217324Z 2025-12-04T09:46:24.1217950Z A planner subclass can expect the following sequence of calls during load_state_dict: 2025-12-04T09:46:24.1218423Z 2025-12-04T09:46:24.1218556Z 1) set_up_planner - called on all ranks. 2025-12-04T09:46:24.1219071Z Signals the start of loading a checkpoint. 2025-12-04T09:46:24.1219343Z 2025-12-04T09:46:24.1219479Z 2) create_local_plan - called on all ranks. 2025-12-04T09:46:24.1220073Z Process the state_dict and produces a `LoadPlan` that will be sent for global planning. 2025-12-04T09:46:24.1220536Z 2025-12-04T09:46:24.1220759Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T09:46:24.1221323Z Takes the LoadPlan from all ranks and make any global decision. 2025-12-04T09:46:24.1221675Z 2025-12-04T09:46:24.1221831Z 4) load_bytes - called multiple times on each rank 2025-12-04T09:46:24.1222313Z This is called once per non-tensor value in state_dict. 2025-12-04T09:46:24.1222628Z 2025-12-04T09:46:24.1222887Z 5) resolve_tensor and commit_tensor - called multiple times on each rank 2025-12-04T09:46:24.1223471Z They are called in pair for each Tensor value in state_dict. 2025-12-04T09:46:24.1223815Z 2025-12-04T09:46:24.1224157Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as 2025-12-04T09:46:24.1224851Z most changes can be expressed by changes in a single method. 2025-12-04T09:46:24.1225181Z 2025-12-04T09:46:24.1225334Z There are two usual patterns of extension: 2025-12-04T09:46:24.1225592Z 2025-12-04T09:46:24.1225877Z Rewriting state_dict. This is the simplest way to extend the load process as it 2025-12-04T09:46:24.1226592Z doesn't requite understanding the intrincacies of how LoadPlan works. We need 2025-12-04T09:46:24.1227276Z to keep a reference to the original state_dict as load happens in place so 2025-12-04T09:46:24.1227809Z we need to be able to perform it in place 2025-12-04T09:46:24.1228065Z 2025-12-04T09:46:24.1228189Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:46:24.1228585Z >>> class RenamePlanner(DefaultLoadPlanner): 2025-12-04T09:46:24.1228975Z >>> def set_up_planner( 2025-12-04T09:46:24.1229255Z >>> self, 2025-12-04T09:46:24.1229531Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T09:46:24.1229894Z >>> metadata: Metadata, 2025-12-04T09:46:24.1230205Z >>> is_coordinator: bool, 2025-12-04T09:46:24.1230525Z >>> ) -> None: 2025-12-04T09:46:24.1230818Z >>> self.original_state_dict = state_dict 2025-12-04T09:46:24.1231280Z >>> state_dict = {"foo_" + k: v for k, v in state_dict.items()} 2025-12-04T09:46:24.1231691Z >>> 2025-12-04T09:46:24.1231950Z >>> if self.flatten_sharded_tensors: 2025-12-04T09:46:24.1232377Z >>> state_dict = _flatten_sharded_tensors(state_dict) 2025-12-04T09:46:24.1232759Z >>> 2025-12-04T09:46:24.1233005Z >>> if self.flatten_state_dict: 2025-12-04T09:46:24.1233457Z >>> state_dict, self.mappings = flatten_state_dict(state_dict) 2025-12-04T09:46:24.1233883Z >>> 2025-12-04T09:46:24.1234134Z >>> self.state_dict = state_dict 2025-12-04T09:46:24.1234500Z >>> self.metadata = metadata 2025-12-04T09:46:24.1234874Z >>> self.is_coordinator = is_coordinator 2025-12-04T09:46:24.1235240Z >>> 2025-12-04T09:46:24.1235600Z >>> def load_bytes(self, read_item, value): 2025-12-04T09:46:24.1235972Z >>> # Remove the "foo_" prefix 2025-12-04T09:46:24.1236556Z >>> self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False) 2025-12-04T09:46:24.1237056Z 2025-12-04T09:46:24.1237075Z 2025-12-04T09:46:24.1237368Z Modifying resolve_tensor and commit_tensor to handle load time transformation. 2025-12-04T09:46:24.1237799Z 2025-12-04T09:46:24.1237939Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:46:24.1238350Z >>> class MetaModelMaterialize(DefaultSavePlanner): 2025-12-04T09:46:24.1238798Z >>> def resolve_tensor(self, read_item): 2025-12-04T09:46:24.1239210Z >>> tensor = super().resolve_tensor(read_item) 2025-12-04T09:46:24.1239741Z >>> return torch.empty_like(tensor, device="cpu") 2025-12-04T09:46:24.1240133Z >>> 2025-12-04T09:46:24.1240410Z >>> def commit_tensor(self, read_item, tensor): 2025-12-04T09:46:24.1240926Z >>> self.state_dict[read_item.dest_index.fqn] = tensor 2025-12-04T09:46:24.1241249Z 2025-12-04T09:46:24.1241864Z Original Error: IndentationError('expected an indented block after function definition on line 22', ('', 23, 0, '_._ = None\n', 23, -1)) 2025-12-04T09:46:24.1242620Z 2025-12-04T09:46:24.1242711Z _._ = None 2025-12-04T09:46:24.1242946Z ^ 2025-12-04T09:46:24.5326979Z msg = Cannot scrape callname=FullStateDictConfig in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/api.py line=295. 2025-12-04T09:46:24.5328097Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:46:24.5328514Z 2025-12-04T09:46:24.5328750Z ``FullStateDictConfig`` is a config class meant to be used with 2025-12-04T09:46:24.5329371Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both 2025-12-04T09:46:24.5329959Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state 2025-12-04T09:46:24.5330598Z dicts to save GPU memory and CPU memory, respectively. This config class 2025-12-04T09:46:24.5331195Z is meant to be used via the :func:`state_dict_type` context manager as 2025-12-04T09:46:24.5331654Z follows: 2025-12-04T09:46:24.5331783Z 2025-12-04T09:46:24.5331938Z >>> # xdoctest: +SKIP("undefined variables") 2025-12-04T09:46:24.5332471Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-12-04T09:46:24.5333023Z >>> fsdp = FSDP(model, auto_wrap_policy=...) 2025-12-04T09:46:24.5333527Z >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True) 2025-12-04T09:46:24.5334144Z >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg): 2025-12-04T09:46:24.5334642Z >>> state = fsdp.state_dict() 2025-12-04T09:46:24.5335126Z >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0. 2025-12-04T09:46:24.5335772Z >>> # To reload checkpoint for inference, finetuning, transfer learning, etc: 2025-12-04T09:46:24.5336438Z >>> model = model_fn() # Initialize model in preparation for wrapping with FSDP 2025-12-04T09:46:24.5336959Z >>> if dist.get_rank() == 0: 2025-12-04T09:46:24.5337384Z >>> # Load checkpoint only on rank 0 to avoid memory redundancy 2025-12-04T09:46:24.5337879Z >>> state_dict = torch.load("my_checkpoint.pt") 2025-12-04T09:46:24.5338289Z >>> model.load_state_dict(state_dict) 2025-12-04T09:46:24.5338815Z >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument 2025-12-04T09:46:24.5339494Z >>> # communicates loaded checkpoint states from rank 0 to rest of the world. 2025-12-04T09:46:24.5339996Z >>> fsdp = FSDP( 2025-12-04T09:46:24.5340265Z ... model, 2025-12-04T09:46:24.5340568Z ... device_id=torch.cuda.current_device(), 2025-12-04T09:46:24.5340948Z ... auto_wrap_policy=..., 2025-12-04T09:46:24.5341293Z ... sync_module_states=True, 2025-12-04T09:46:24.5341618Z ... ) 2025-12-04T09:46:24.5341980Z >>> # After this point, all ranks have FSDP model with loaded checkpoint. 2025-12-04T09:46:24.5342375Z 2025-12-04T09:46:24.5342471Z Attributes: 2025-12-04T09:46:24.5342840Z rank0_only (bool): If ``True``, then only rank 0 saves the full state 2025-12-04T09:46:24.5343428Z dict, and nonzero ranks save an empty dict. If ``False``, then all 2025-12-04T09:46:24.5343954Z ranks save the full state dict. (Default: ``False``) 2025-12-04T09:46:24.5344269Z 2025-12-04T09:46:24.5344836Z Original Error: IndentationError("expected an indented block after 'if' statement on line 10", ('', 11, 1, '_._ = None\n', 11, 2)) 2025-12-04T09:46:24.5345540Z 2025-12-04T09:46:24.5345629Z _._ = None 2025-12-04T09:46:24.5345858Z ^ 2025-12-04T09:46:26.7895878Z msg = Cannot scrape callname=register_parametrization in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrize.py line=437. 2025-12-04T09:46:26.7897031Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:46:26.7897778Z Register a parametrization to a tensor in a module. 2025-12-04T09:46:26.7898098Z 2025-12-04T09:46:26.7898413Z Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``, 2025-12-04T09:46:26.7899194Z the module will return the parametrized version ``parametrization(module.weight)``. 2025-12-04T09:46:26.7899946Z If the original tensor requires a gradient, the backward pass will differentiate 2025-12-04T09:46:26.7901026Z through :attr:`parametrization`, and the optimizer will update the tensor accordingly. 2025-12-04T09:46:26.7901509Z 2025-12-04T09:46:26.7901864Z The first time that a module registers a parametrization, this function will add an attribute 2025-12-04T09:46:26.7902640Z ``parametrizations`` to the module of type :class:`~ParametrizationList`. 2025-12-04T09:46:26.7903058Z 2025-12-04T09:46:26.7903348Z The list of parametrizations on the tensor ``weight`` will be accessible under 2025-12-04T09:46:26.7903924Z ``module.parametrizations.weight``. 2025-12-04T09:46:26.7904184Z 2025-12-04T09:46:26.7904348Z The original tensor will be accessible under 2025-12-04T09:46:26.7904795Z ``module.parametrizations.weight.original``. 2025-12-04T09:46:26.7905085Z 2025-12-04T09:46:26.7905381Z Parametrizations may be concatenated by registering several parametrizations 2025-12-04T09:46:26.7905930Z on the same attribute. 2025-12-04T09:46:26.7906124Z 2025-12-04T09:46:26.7906408Z The training mode of a registered parametrization is updated on registration 2025-12-04T09:46:26.7906958Z to match the training mode of the host module 2025-12-04T09:46:26.7907243Z 2025-12-04T09:46:26.7907588Z Parametrized parameters and buffers have an inbuilt caching system that can be activated 2025-12-04T09:46:26.7908212Z using the context manager :func:`cached`. 2025-12-04T09:46:26.7908476Z 2025-12-04T09:46:26.7908761Z A :attr:`parametrization` may optionally implement a method with signature 2025-12-04T09:46:26.7909174Z 2025-12-04T09:46:26.7909324Z .. code-block:: python 2025-12-04T09:46:26.7909528Z 2025-12-04T09:46:26.7909772Z def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]] 2025-12-04T09:46:26.7910161Z 2025-12-04T09:46:26.7910455Z This method is called on the unparametrized tensor when the first parametrization 2025-12-04T09:46:26.7911131Z is registered to compute the initial value of the original tensor. 2025-12-04T09:46:26.7911836Z If this method is not implemented, the original tensor will be just the unparametrized tensor. 2025-12-04T09:46:26.7912332Z 2025-12-04T09:46:26.7912684Z If all the parametrizations registered on a tensor implement `right_inverse` it is possible 2025-12-04T09:46:26.7913510Z to initialize a parametrized tensor by assigning to it, as shown in the example below. 2025-12-04T09:46:26.7913977Z 2025-12-04T09:46:26.7914246Z It is possible for the first parametrization to depend on several inputs. 2025-12-04T09:46:26.7914913Z This may be implemented returning a tuple of tensors from ``right_inverse`` 2025-12-04T09:46:26.7915656Z (see the example implementation of a ``RankOne`` parametrization below). 2025-12-04T09:46:26.7916055Z 2025-12-04T09:46:26.7916450Z In this case, the unconstrained tensors are also located under ``module.parametrizations.weight`` 2025-12-04T09:46:26.7917121Z with names ``original0``, ``original1``,... 2025-12-04T09:46:26.7917388Z 2025-12-04T09:46:26.7917486Z .. note:: 2025-12-04T09:46:26.7917640Z 2025-12-04T09:46:26.7917942Z If unsafe=False (default) both the forward and right_inverse methods will be called 2025-12-04T09:46:26.7918556Z once to perform a number of consistency checks. 2025-12-04T09:46:26.7919143Z If unsafe=True, then right_inverse will be called if the tensor is not parametrized, 2025-12-04T09:46:26.7919868Z and nothing will be called otherwise. 2025-12-04T09:46:26.7920139Z 2025-12-04T09:46:26.7920341Z .. note:: 2025-12-04T09:46:26.7920621Z 2025-12-04T09:46:26.7920864Z In most situations, ``right_inverse`` will be a function such that 2025-12-04T09:46:26.7921354Z ``forward(right_inverse(X)) == X`` (see 2025-12-04T09:46:26.7921955Z `right inverse `_). 2025-12-04T09:46:26.7922701Z Sometimes, when the parametrization is not surjective, it may be reasonable 2025-12-04T09:46:26.7923231Z to relax this. 2025-12-04T09:46:26.7923406Z 2025-12-04T09:46:26.7923505Z .. warning:: 2025-12-04T09:46:26.7923674Z 2025-12-04T09:46:26.7924021Z If a parametrization depends on several inputs, :func:`~register_parametrization` 2025-12-04T09:46:26.7924771Z will register a number of new parameters. If such parametrization is registered 2025-12-04T09:46:26.7925519Z after the optimizer is created, these new parameters will need to be added manually 2025-12-04T09:46:26.7926211Z to the optimizer. See :meth:`torch.Optimizer.add_param_group`. 2025-12-04T09:46:26.7926581Z 2025-12-04T09:46:26.7926673Z Args: 2025-12-04T09:46:26.7927052Z module (nn.Module): module on which to register the parametrization 2025-12-04T09:46:26.7927680Z tensor_name (str): name of the parameter or buffer on which to register 2025-12-04T09:46:26.7928168Z the parametrization 2025-12-04T09:46:26.7928619Z parametrization (nn.Module): the parametrization to register 2025-12-04T09:46:26.7929086Z Keyword args: 2025-12-04T09:46:26.7929479Z unsafe (bool): a boolean flag that denotes whether the parametrization 2025-12-04T09:46:26.7930083Z may change the dtype and shape of the tensor. Default: `False` 2025-12-04T09:46:26.7930747Z Warning: the parametrization is not checked for consistency upon registration. 2025-12-04T09:46:26.7931330Z Enable this flag at your own risk. 2025-12-04T09:46:26.7931589Z 2025-12-04T09:46:26.7931681Z Raises: 2025-12-04T09:46:26.7932145Z ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name` 2025-12-04T09:46:26.7932612Z 2025-12-04T09:46:26.7932718Z Examples: 2025-12-04T09:46:26.7933017Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK) 2025-12-04T09:46:26.7933420Z >>> import torch 2025-12-04T09:46:26.7933720Z >>> import torch.nn as nn 2025-12-04T09:46:26.7934078Z >>> import torch.nn.utils.parametrize as P 2025-12-04T09:46:26.7934453Z >>> 2025-12-04T09:46:26.7934709Z >>> class Symmetric(nn.Module): 2025-12-04T09:46:26.7935069Z >>> def forward(self, X): 2025-12-04T09:46:26.7935489Z >>> return X.triu() + X.triu(1).T # Return a symmetric matrix 2025-12-04T09:46:26.7935922Z >>> 2025-12-04T09:46:26.7936182Z >>> def right_inverse(self, A): 2025-12-04T09:46:26.7936532Z >>> return A.triu() 2025-12-04T09:46:26.7936844Z >>> 2025-12-04T09:46:26.7937083Z >>> m = nn.Linear(5, 5) 2025-12-04T09:46:26.7937472Z >>> P.register_parametrization(m, "weight", Symmetric()) 2025-12-04T09:46:26.7938068Z >>> print(torch.allclose(m.weight, m.weight.T)) # m.weight is now symmetric 2025-12-04T09:46:26.7938572Z True 2025-12-04T09:46:26.7938814Z >>> A = torch.rand(5, 5) 2025-12-04T09:46:26.7939152Z >>> A = A + A.T # A is now symmetric 2025-12-04T09:46:26.7939625Z >>> m.weight = A # Initialize the weight to be the symmetric matrix A 2025-12-04T09:46:26.7940122Z >>> print(torch.allclose(m.weight, A)) 2025-12-04T09:46:26.7940467Z True 2025-12-04T09:46:26.7940617Z 2025-12-04T09:46:26.7940735Z >>> class RankOne(nn.Module): 2025-12-04T09:46:26.7941090Z >>> def forward(self, x, y): 2025-12-04T09:46:26.7941484Z >>> # Form a rank 1 matrix multiplying two vectors 2025-12-04T09:46:26.7942021Z >>> return x.unsqueeze(-1) @ y.unsqueeze(-2) 2025-12-04T09:46:26.7942404Z >>> 2025-12-04T09:46:26.7942658Z >>> def right_inverse(self, Z): 2025-12-04T09:46:26.7943118Z >>> # Project Z onto the rank 1 matrices 2025-12-04T09:46:26.7943553Z >>> U, S, Vh = torch.linalg.svd(Z, full_matrices=False) 2025-12-04T09:46:26.7943993Z >>> # Return rescaled singular vectors 2025-12-04T09:46:26.7944376Z >>> s0_sqrt = S[0].sqrt().unsqueeze(-1) 2025-12-04T09:46:26.7944812Z >>> return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt 2025-12-04T09:46:26.7945206Z >>> 2025-12-04T09:46:26.7945497Z >>> linear_rank_one = P.register_parametrization( 2025-12-04T09:46:26.7945930Z ... nn.Linear(4, 4), "weight", RankOne() 2025-12-04T09:46:26.7946290Z ... ) 2025-12-04T09:46:26.7946649Z >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item()) 2025-12-04T09:46:26.7947114Z 1 2025-12-04T09:46:26.7947256Z 2025-12-04T09:46:26.7947345Z 2025-12-04T09:46:26.7948082Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 3, 0, '_._ = None\n', 3, -1)) 2025-12-04T09:46:26.7948820Z 2025-12-04T09:46:26.7948911Z _._ = None 2025-12-04T09:46:26.7949137Z ^ 2025-12-04T09:46:26.9127083Z msg = Cannot scrape callname=ReduceLROnPlateau in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py line=1586. 2025-12-04T09:46:26.9128167Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:46:26.9128781Z Reduce learning rate when a metric has stopped improving. 2025-12-04T09:46:26.9129121Z 2025-12-04T09:46:26.9129372Z Models often benefit from reducing the learning rate by a factor 2025-12-04T09:46:26.9129946Z of 2-10 once learning stagnates. This scheduler reads a metrics 2025-12-04T09:46:26.9130511Z quantity and if no improvement is seen for a 'patience' number 2025-12-04T09:46:26.9131003Z of epochs, the learning rate is reduced. 2025-12-04T09:46:26.9131272Z 2025-12-04T09:46:26.9131362Z Args: 2025-12-04T09:46:26.9131660Z optimizer (Optimizer): Wrapped optimizer. 2025-12-04T09:46:26.9132100Z mode (str): One of `min`, `max`. In `min` mode, lr will 2025-12-04T09:46:26.9132586Z be reduced when the quantity monitored has stopped 2025-12-04T09:46:26.9133081Z decreasing; in `max` mode it will be reduced when the 2025-12-04T09:46:26.9133620Z quantity monitored has stopped increasing. Default: 'min'. 2025-12-04T09:46:26.9134158Z factor (float): Factor by which the learning rate will be 2025-12-04T09:46:26.9134642Z reduced. new_lr = lr * factor. Default: 0.1. 2025-12-04T09:46:26.9135175Z patience (int): The number of allowed epochs with no improvement after 2025-12-04T09:46:26.9135693Z which the learning rate will be reduced. 2025-12-04T09:46:26.9136236Z For example, consider the case of having no patience (`patience = 0`). 2025-12-04T09:46:26.9137049Z In the first epoch, a baseline is established and is always considered good as there's no previous baseline. 2025-12-04T09:46:26.9137838Z In the second epoch, if the performance is worse than the baseline, 2025-12-04T09:46:26.9138373Z we have what is considered an intolerable epoch. 2025-12-04T09:46:26.9138976Z Since the count of intolerable epochs (1) is greater than the patience level (0), 2025-12-04T09:46:26.9139597Z the learning rate is reduced at the end of this epoch. 2025-12-04T09:46:26.9140307Z From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch 2025-12-04T09:46:26.9141179Z if the performance is worse than the baseline. If the performance improves or remains the same, 2025-12-04T09:46:26.9141817Z the learning rate is not adjusted. 2025-12-04T09:46:26.9142427Z Default: 10. 2025-12-04T09:46:26.9142839Z threshold (float): Threshold for measuring the new optimum, 2025-12-04T09:46:26.9144056Z to only focus on significant changes. Default: 1e-4. 2025-12-04T09:46:26.9144561Z threshold_mode (str): One of `rel`, `abs`. In `rel` mode, 2025-12-04T09:46:26.9145084Z dynamic_threshold = best * ( 1 + threshold ) in 'max' 2025-12-04T09:46:26.9145574Z mode or best * ( 1 - threshold ) in `min` mode. 2025-12-04T09:46:26.9146050Z In `abs` mode, dynamic_threshold = best + threshold in 2025-12-04T09:46:26.9146554Z `max` mode or best - threshold in `min` mode. Default: 'rel'. 2025-12-04T09:46:26.9147098Z cooldown (int): Number of epochs to wait before resuming 2025-12-04T09:46:26.9147632Z normal operation after lr has been reduced. Default: 0. 2025-12-04T09:46:26.9148136Z min_lr (float or list): A scalar or a list of scalars. A 2025-12-04T09:46:26.9148649Z lower bound on the learning rate of all param groups 2025-12-04T09:46:26.9149113Z or each group respectively. Default: 0. 2025-12-04T09:46:26.9149602Z eps (float): Minimal decay applied to lr. If the difference 2025-12-04T09:46:26.9150131Z between new and old lr is smaller than eps, the update is 2025-12-04T09:46:26.9150588Z ignored. Default: 1e-8. 2025-12-04T09:46:26.9150814Z 2025-12-04T09:46:26.9150919Z Example: 2025-12-04T09:46:26.9151161Z >>> # xdoctest: +SKIP 2025-12-04T09:46:26.9151626Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9) 2025-12-04T09:46:26.9152205Z >>> scheduler = ReduceLROnPlateau(optimizer, "min") 2025-12-04T09:46:26.9152626Z >>> for epoch in range(10): 2025-12-04T09:46:26.9152943Z >>> train(...) 2025-12-04T09:46:26.9153248Z >>> val_loss = validate(...) 2025-12-04T09:46:26.9153657Z >>> # Note that step should be called after validate() 2025-12-04T09:46:26.9154072Z >>> scheduler.step(val_loss) 2025-12-04T09:46:26.9154326Z 2025-12-04T09:46:26.9154646Z .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png 2025-12-04T09:46:26.9155098Z 2025-12-04T09:46:26.9155775Z Original Error: IndentationError('unexpected indent', ('', 8, 4, ' scheduler.step(val_loss)\n', 8, -1)) 2025-12-04T09:46:26.9156395Z 2025-12-04T09:46:26.9156513Z scheduler.step(val_loss) 2025-12-04T09:46:26.9156819Z ^ 2025-12-04T09:46:30.8510115Z running 894 test(s) 2025-12-04T09:46:30.8516225Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::typename:0, line 1111 <- wrt source file 2025-12-04T09:46:30.8525902Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::typename:0 2025-12-04T09:46:30.8527218Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_tensor:0, line 1142 <- wrt source file 2025-12-04T09:46:30.8530990Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_tensor:0 2025-12-04T09:46:30.8532286Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_storage:0, line 1157 <- wrt source file 2025-12-04T09:46:30.8540630Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_storage:0 2025-12-04T09:46:30.8541956Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_device:0, line 1247 <- wrt source file 2025-12-04T09:46:30.8543947Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_device:0 2025-12-04T09:46:30.8545410Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_tensor_type:0, line 1296 <- wrt source file 2025-12-04T09:46:30.8547620Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_tensor_type:0 2025-12-04T09:46:30.8549110Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_dtype:0, line 1333 <- wrt source file 2025-12-04T09:46:30.8550706Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_dtype:0 2025-12-04T09:46:30.8552568Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::use_deterministic_algorithms:0, line 1497 <- wrt source file 2025-12-04T09:46:30.8554263Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::use_deterministic_algorithms:0 2025-12-04T09:46:30.8555953Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::compile:0, line 2655 <- wrt source file 2025-12-04T09:46:30.8557258Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::compile:0 2025-12-04T09:46:30.8558818Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0, line 2963 <- wrt source file 2025-12-04T09:46:30.8560793Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0 2025-12-04T09:46:30.8562345Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::Generator:0, line 15 <- wrt source file 2025-12-04T09:46:30.8563914Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::Generator:0 2025-12-04T09:46:30.8565453Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::_LinAlgError:0, line 5 <- wrt source file 2025-12-04T09:46:30.8567038Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::_LinAlgError:0 2025-12-04T09:46:30.8568446Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::custom_op:0, line 55 <- wrt source file 2025-12-04T09:46:30.8569774Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::custom_op:0 2025-12-04T09:46:30.8571043Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl:0, line 138 <- wrt source file 2025-12-04T09:46:30.8572308Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl:0 2025-12-04T09:46:30.8573585Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl_abstract:0, line 208 <- wrt source file 2025-12-04T09:46:30.9160193Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl_abstract:0 2025-12-04T09:46:30.9163672Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_namedtensor_internals.py::update_names:0, line 118 <- wrt source file 2025-12-04T09:46:30.9165246Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_namedtensor_internals.py::update_names:0 2025-12-04T09:46:30.9166660Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_hook:0, line 681 <- wrt source file 2025-12-04T09:46:30.9177345Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_hook:0 2025-12-04T09:46:30.9178855Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0, line 738 <- wrt source file 2025-12-04T09:46:30.9203279Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0 2025-12-04T09:46:30.9204797Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.refine_names:0, line 1374 <- wrt source file 2025-12-04T09:46:30.9322915Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.refine_names:0 2025-12-04T09:46:30.9326309Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.align_to:0, line 1419 <- wrt source file 2025-12-04T09:46:30.9333007Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.align_to:0 2025-12-04T09:46:30.9334341Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.rename:0, line 1492 <- wrt source file 2025-12-04T09:46:30.9343002Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.rename:0 2025-12-04T09:46:30.9344343Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0, line 1522 <- wrt source file 2025-12-04T09:46:30.9354927Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0 2025-12-04T09:46:30.9356788Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.dim_order:0, line 1554 <- wrt source file 2025-12-04T09:46:30.9379527Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.dim_order:0 2025-12-04T09:46:30.9381370Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor_str.py::set_printoptions:0, line 53 <- wrt source file 2025-12-04T09:46:30.9401582Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor_str.py::set_printoptions:0 2025-12-04T09:46:30.9402997Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_tensors:0, line 64 <- wrt source file 2025-12-04T09:46:30.9411205Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_tensors:0 2025-12-04T09:46:30.9412587Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_shapes:0, line 92 <- wrt source file 2025-12-04T09:46:30.9416454Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_shapes:0 2025-12-04T09:46:30.9417781Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::split:0, line 144 <- wrt source file 2025-12-04T09:46:30.9433688Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::split:0 2025-12-04T09:46:30.9434968Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::einsum:0, line 258 <- wrt source file 2025-12-04T09:46:30.9457471Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::einsum:0 2025-12-04T09:46:30.9458761Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::meshgrid:0, line 450 <- wrt source file 2025-12-04T09:46:30.9503978Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::meshgrid:0 2025-12-04T09:46:30.9505294Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_impl:0, line 835 <- wrt source file 2025-12-04T09:46:30.9561498Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_impl:0 2025-12-04T09:46:30.9562893Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_consecutive_impl:0, line 992 <- wrt source file 2025-12-04T09:46:30.9578041Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_consecutive_impl:0 2025-12-04T09:46:30.9579557Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::tensordot:0, line 1267 <- wrt source file 2025-12-04T09:46:30.9593825Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::tensordot:0 2025-12-04T09:46:30.9595200Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cartesian_prod:0, line 1351 <- wrt source file 2025-12-04T09:46:30.9603982Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cartesian_prod:0 2025-12-04T09:46:30.9605329Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::block_diag:0, line 1385 <- wrt source file 2025-12-04T09:46:30.9617781Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::block_diag:0 2025-12-04T09:46:30.9619083Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cdist:0, line 1441 <- wrt source file 2025-12-04T09:46:30.9637209Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cdist:0 2025-12-04T09:46:30.9638522Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_1d:0, line 1482 <- wrt source file 2025-12-04T09:46:30.9660246Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_1d:0 2025-12-04T09:46:30.9661572Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_2d:0, line 1520 <- wrt source file 2025-12-04T09:46:30.9684968Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_2d:0 2025-12-04T09:46:30.9686290Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_3d:0, line 1560 <- wrt source file 2025-12-04T09:46:30.9715528Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_3d:0 2025-12-04T09:46:30.9716822Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::norm:0, line 1735 <- wrt source file 2025-12-04T09:46:30.9761278Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::norm:0 2025-12-04T09:46:30.9762590Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::unravel_index:0, line 1905 <- wrt source file 2025-12-04T09:46:30.9802580Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::unravel_index:0 2025-12-04T09:46:30.9804082Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::chain_matmul:0, line 2005 <- wrt source file 2025-12-04T09:46:30.9805503Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::chain_matmul:0 2025-12-04T09:46:30.9806986Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_lu_impl:0, line 2106 <- wrt source file 2025-12-04T09:46:30.9808480Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_lu_impl:0 2025-12-04T09:46:30.9809777Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::list:0, line 477 <- wrt source file 2025-12-04T09:46:30.9811021Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::list:0 2025-12-04T09:46:30.9812254Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::help:0, line 537 <- wrt source file 2025-12-04T09:46:30.9813738Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::help:0 2025-12-04T09:46:30.9814903Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load:0, line 628 <- wrt source file 2025-12-04T09:46:30.9816202Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load:0 2025-12-04T09:46:30.9817388Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::_load_local:0, line 676 <- wrt source file 2025-12-04T09:46:30.9818812Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::_load_local:0 2025-12-04T09:46:30.9820090Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::download_url_to_file:0, line 711 <- wrt source file 2025-12-04T09:46:30.9821418Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::download_url_to_file:0 2025-12-04T09:46:30.9822757Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load_state_dict_from_url:0, line 852 <- wrt source file 2025-12-04T09:46:30.9824122Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load_state_dict_from_url:0 2025-12-04T09:46:30.9825466Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.define:0, line 145 <- wrt source file 2025-12-04T09:46:30.9826808Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.define:0 2025-12-04T09:46:30.9828208Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library._impl_with_aoti_compile:0, line 239 <- wrt source file 2025-12-04T09:46:30.9831086Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library._impl_with_aoti_compile:0 2025-12-04T09:46:30.9832488Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.impl:0, line 300 <- wrt source file 2025-12-04T09:46:30.9837603Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.impl:0 2025-12-04T09:46:30.9838876Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::define:0, line 521 <- wrt source file 2025-12-04T09:46:30.9852018Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::define:0 2025-12-04T09:46:30.9853227Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::impl:0, line 627 <- wrt source file 2025-12-04T09:46:30.9873609Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::impl:0 2025-12-04T09:46:30.9875095Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_kernel:0, line 809 <- wrt source file 2025-12-04T09:46:30.9876517Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_kernel:0 2025-12-04T09:46:30.9877861Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autocast:0, line 877 <- wrt source file 2025-12-04T09:46:30.9879221Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autocast:0 2025-12-04T09:46:30.9880575Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autograd:0, line 1164 <- wrt source file 2025-12-04T09:46:31.0127452Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autograd:0 2025-12-04T09:46:31.0128864Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_torch_dispatch:0, line 1280 <- wrt source file 2025-12-04T09:46:31.0240290Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_torch_dispatch:0 2025-12-04T09:46:31.0241806Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_vmap:0, line 1369 <- wrt source file 2025-12-04T09:46:31.0469373Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_vmap:0 2025-12-04T09:46:31.0470824Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::opcheck:0, line 1694 <- wrt source file 2025-12-04T09:46:31.0472104Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::opcheck:0 2025-12-04T09:46:31.0473430Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_ignored_functions:0, line 117 <- wrt source file 2025-12-04T09:46:31.0480066Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_ignored_functions:0 2025-12-04T09:46:31.0481512Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_testing_overrides:0, line 435 <- wrt source file 2025-12-04T09:46:31.0526269Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_testing_overrides:0 2025-12-04T09:46:31.0527675Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::wrap_torch_function:0, line 1589 <- wrt source file 2025-12-04T09:46:31.0531495Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::wrap_torch_function:0 2025-12-04T09:46:31.0532915Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::handle_torch_function:0, line 1725 <- wrt source file 2025-12-04T09:46:31.0536356Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::handle_torch_function:0 2025-12-04T09:46:31.0537830Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_method_or_property:0, line 1974 <- wrt source file 2025-12-04T09:46:31.0577400Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_method_or_property:0 2025-12-04T09:46:31.0578833Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_like:0, line 1993 <- wrt source file 2025-12-04T09:46:31.0589010Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_like:0 2025-12-04T09:46:31.0590508Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/quasirandom.py::SobolEngine:0, line 39 <- wrt source file 2025-12-04T09:46:31.0591958Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/quasirandom.py::SobolEngine:0 2025-12-04T09:46:31.0593401Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::add_safe_globals:0, line 300 <- wrt source file 2025-12-04T09:46:31.0595006Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::add_safe_globals:0 2025-12-04T09:46:31.0596475Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::safe_globals:0, line 325 <- wrt source file 2025-12-04T09:46:31.0598039Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::safe_globals:0 2025-12-04T09:46:31.0599377Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::skip_data:0, line 401 <- wrt source file 2025-12-04T09:46:31.0600920Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::skip_data:0 2025-12-04T09:46:31.0602588Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::register_package:0, line 473 <- wrt source file 2025-12-04T09:46:31.0604484Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::register_package:0 2025-12-04T09:46:31.0605960Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::save:0, line 960 <- wrt source file 2025-12-04T09:46:31.0607310Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::save:0 2025-12-04T09:46:31.0608599Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::load:0, line 1379 <- wrt source file 2025-12-04T09:46:31.0611484Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::load:0 2025-12-04T09:46:31.0612941Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/torch_version.py::TorchVersion:0, line 19 <- wrt source file 2025-12-04T09:46:31.0614365Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/torch_version.py::TorchVersion:0 2025-12-04T09:46:31.0615773Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_mode_options:0, line 349 <- wrt source file 2025-12-04T09:46:31.0618628Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_mode_options:0 2025-12-04T09:46:31.0621333Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_options:0, line 388 <- wrt source file 2025-12-04T09:46:31.0639947Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_options:0 2025-12-04T09:46:31.0642717Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0, line 1911 <- wrt source file 2025-12-04T09:46:31.0649756Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0 2025-12-04T09:46:31.0652734Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::current_accelerator:0, line 117 <- wrt source file 2025-12-04T09:46:32.6993700Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::current_accelerator:0 2025-12-04T09:46:32.6996480Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::get_device_capability:0, line 171 <- wrt source file 2025-12-04T09:46:32.6999115Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::get_device_capability:0 2025-12-04T09:46:32.7001974Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::device_index:0, line 276 <- wrt source file 2025-12-04T09:46:32.7004813Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::device_index:0 2025-12-04T09:46:32.7007154Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::allow_in_graph:0, line 130 <- wrt source file 2025-12-04T09:46:32.7009611Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::allow_in_graph:0 2025-12-04T09:46:32.7011845Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::substitute_in_graph:0, line 186 <- wrt source file 2025-12-04T09:46:33.0073451Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::substitute_in_graph:0 2025-12-04T09:46:33.0076452Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::wrap_numpy:0, line 416 <- wrt source file 2025-12-04T09:46:33.0079239Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::wrap_numpy:0 2025-12-04T09:46:33.0081787Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_compiling:0, line 448 <- wrt source file 2025-12-04T09:46:33.0084432Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_compiling:0 2025-12-04T09:46:33.0087082Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0, line 469 <- wrt source file 2025-12-04T09:46:33.0089928Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0 2025-12-04T09:46:33.0092534Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_exporting:0, line 487 <- wrt source file 2025-12-04T09:46:33.0095215Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_exporting:0 2025-12-04T09:46:33.0097938Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0, line 502 <- wrt source file 2025-12-04T09:46:33.0101135Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0 2025-12-04T09:46:33.0103894Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0, line 522 <- wrt source file 2025-12-04T09:46:33.0106786Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0 2025-12-04T09:46:33.0109510Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py::_compile_kernel:0, line 1788 <- wrt source file 2025-12-04T09:46:33.0112145Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py::_compile_kernel:0 2025-12-04T09:46:33.0114621Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::save:0, line 349 <- wrt source file 2025-12-04T09:46:33.0117042Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::save:0 2025-12-04T09:46:33.0119283Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::load:0, line 422 <- wrt source file 2025-12-04T09:46:33.0121763Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::load:0 2025-12-04T09:46:33.0124370Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::register_dataclass:0, line 581 <- wrt source file 2025-12-04T09:46:33.0127009Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::register_dataclass:0 2025-12-04T09:46:33.0129666Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.then:0, line 152 <- wrt source file 2025-12-04T09:46:33.0132181Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.then:0 2025-12-04T09:46:33.0134928Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.add_done_callback:0, line 201 <- wrt source file 2025-12-04T09:46:33.0137914Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.add_done_callback:0 2025-12-04T09:46:33.0140998Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_result:0, line 235 <- wrt source file 2025-12-04T09:46:33.0143832Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_result:0 2025-12-04T09:46:33.0146623Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_exception:0, line 265 <- wrt source file 2025-12-04T09:46:33.0149393Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_exception:0 2025-12-04T09:46:33.0152136Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::collect_all:0, line 299 <- wrt source file 2025-12-04T09:46:33.0154699Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::collect_all:0 2025-12-04T09:46:33.0156883Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/__init__.py::annotate:0, line 147 <- wrt source file 2025-12-04T09:46:33.0158918Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/__init__.py::annotate:0 2025-12-04T09:46:33.0161591Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0, line 22 <- wrt source file 2025-12-04T09:46:33.0164118Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0 2025-12-04T09:46:33.0166344Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/mps/__init__.py::compile_shader:0, line 148 <- wrt source file 2025-12-04T09:46:33.0168633Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/mps/__init__.py::compile_shader:0 2025-12-04T09:46:33.0170656Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::as_nested_tensor:0, line 61 <- wrt source file 2025-12-04T09:46:33.0183972Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::as_nested_tensor:0 2025-12-04T09:46:33.0186596Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor:0, line 240 <- wrt source file 2025-12-04T09:46:33.0192697Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor:0 2025-12-04T09:46:33.0195218Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::narrow:0, line 315 <- wrt source file 2025-12-04T09:46:33.0252995Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::narrow:0 2025-12-04T09:46:33.0255660Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0, line 405 <- wrt source file 2025-12-04T09:46:33.0265288Z W1204 09:46:33.025000 1864 site-packages/torch/fx/_symbolic_trace.py:53] is_fx_tracing will return true for both fx.symbolic_trace and torch.export. Please use is_fx_tracing_symbolic_tracing() for specifically fx.symbolic_trace or torch.compiler.is_compiling() for specifically torch.export/compile. 2025-12-04T09:46:33.0288965Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0 2025-12-04T09:46:33.0291707Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::masked_select:0, line 481 <- wrt source file 2025-12-04T09:46:33.0315499Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::masked_select:0 2025-12-04T09:46:33.0318105Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::sum:0, line 223 <- wrt source file 2025-12-04T09:46:33.0331789Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::sum:0 2025-12-04T09:46:33.0334681Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0, line 475 <- wrt source file 2025-12-04T09:46:33.0344978Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0 2025-12-04T09:46:33.0347768Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0, line 561 <- wrt source file 2025-12-04T09:46:33.0404097Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0 2025-12-04T09:46:33.0407020Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0, line 361 <- wrt source file 2025-12-04T09:46:33.0411412Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0 2025-12-04T09:46:33.0413550Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0, line 328 <- wrt source file 2025-12-04T09:46:33.0424309Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0 2025-12-04T09:46:33.0426866Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/higher_order_ops.py::speculate_subgraph_with_auto_output_flattening:0, line 1316 <- wrt source file 2025-12-04T09:46:33.0429557Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/higher_order_ops.py::speculate_subgraph_with_auto_output_flattening:0 2025-12-04T09:46:33.0431899Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0, line 1441 <- wrt source file 2025-12-04T09:46:33.0434052Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0 2025-12-04T09:46:33.0436405Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0, line 194 <- wrt source file 2025-12-04T09:46:33.0438824Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0 2025-12-04T09:46:33.0440997Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/wrappers.py::allow_in_pre_dispatch_graph:0, line 262 <- wrt source file 2025-12-04T09:46:33.0443058Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/wrappers.py::allow_in_pre_dispatch_graph:0 2025-12-04T09:46:33.0445011Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py::aot_function:0, line 771 <- wrt source file 2025-12-04T09:46:33.0808320Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py::aot_function:0 2025-12-04T09:46:33.0811532Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0, line 184 <- wrt source file 2025-12-04T09:46:33.0814436Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0 2025-12-04T09:46:33.0816912Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::vjp:0, line 234 <- wrt source file 2025-12-04T09:46:33.0871448Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::vjp:0 2025-12-04T09:46:33.0874081Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacrev:0, line 476 <- wrt source file 2025-12-04T09:46:33.0960689Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacrev:0 2025-12-04T09:46:33.0963454Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jvp:0, line 1024 <- wrt source file 2025-12-04T09:46:33.3662894Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jvp:0 2025-12-04T09:46:33.3665504Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0, line 1182 <- wrt source file 2025-12-04T09:46:33.3753017Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0 2025-12-04T09:46:33.3754547Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::hessian:0, line 1342 <- wrt source file 2025-12-04T09:46:33.3779047Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::hessian:0 2025-12-04T09:46:33.3780555Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::functionalize:0, line 1506 <- wrt source file 2025-12-04T09:46:33.3785389Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::functionalize:0 2025-12-04T09:46:33.3786916Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::linearize:0, line 1705 <- wrt source file 2025-12-04T09:46:33.4005912Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::linearize:0 2025-12-04T09:46:33.4007448Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/functional_call.py::functional_call:0, line 36 <- wrt source file 2025-12-04T09:46:33.4011997Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/functional_call.py::functional_call:0 2025-12-04T09:46:33.4013699Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/fx_minifier.py::minifier:0, line 194 <- wrt source file 2025-12-04T09:46:33.4015302Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/fx_minifier.py::minifier:0 2025-12-04T09:46:33.4017069Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0, line 1111 <- wrt source file 2025-12-04T09:46:33.4019104Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0 2025-12-04T09:46:33.4020869Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::InductorWrapper.post_compile:0, line 1166 <- wrt source file 2025-12-04T09:46:33.4022674Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::InductorWrapper.post_compile:0 2025-12-04T09:46:33.4024519Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0, line 183 <- wrt source file 2025-12-04T09:46:33.4026420Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0 2025-12-04T09:46:33.4028591Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0, line 319 <- wrt source file 2025-12-04T09:46:33.4030689Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0 2025-12-04T09:46:33.4032463Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/cond.py::cond:0, line 139 <- wrt source file 2025-12-04T09:46:33.4033989Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/cond.py::cond:0 2025-12-04T09:46:33.4035744Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0, line 80 <- wrt source file 2025-12-04T09:46:33.4037557Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0 2025-12-04T09:46:33.4039265Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/map.py::map:0, line 80 <- wrt source file 2025-12-04T09:46:33.4040725Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/map.py::map:0 2025-12-04T09:46:33.4042352Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/partitioner.py::HopPartitionedGraph._reorder_fw_output:0, line 133 <- wrt source file 2025-12-04T09:46:33.4044233Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/partitioner.py::HopPartitionedGraph._reorder_fw_output:0 2025-12-04T09:46:33.4045795Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/scan.py::scan:0, line 130 <- wrt source file 2025-12-04T09:46:33.4047182Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/scan.py::scan:0 2025-12-04T09:46:33.4048613Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py::WritableTempFile:0, line 385 <- wrt source file 2025-12-04T09:46:33.4050139Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py::WritableTempFile:0 2025-12-04T09:46:33.4051728Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0, line 1845 <- wrt source file 2025-12-04T09:46:33.4053463Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0 2025-12-04T09:46:33.4055131Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0, line 4328 <- wrt source file 2025-12-04T09:46:33.4056767Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0 2025-12-04T09:46:33.4058360Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/fx_passes/graph_view.py::_clean_stack_name:0, line 100 <- wrt source file 2025-12-04T09:46:33.4059953Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/fx_passes/graph_view.py::_clean_stack_name:0 2025-12-04T09:46:33.4061509Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/kernel/custom_op.py::CustomOpConfig:0, line 56 <- wrt source file 2025-12-04T09:46:33.4063064Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/kernel/custom_op.py::CustomOpConfig:0 2025-12-04T09:46:33.4064781Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/kernel/custom_op.py::register_custom_op_autotuning:0, line 423 <- wrt source file 2025-12-04T09:46:33.4066505Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/kernel/custom_op.py::register_custom_op_autotuning:0 2025-12-04T09:46:33.4068289Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_lock_with_timeout:0, line 69 <- wrt source file 2025-12-04T09:46:33.4070034Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_lock_with_timeout:0 2025-12-04T09:46:33.4071801Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_lock_with_timeout:0, line 105 <- wrt source file 2025-12-04T09:46:33.4073634Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_lock_with_timeout:0 2025-12-04T09:46:33.4075475Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_flock_with_timeout:0, line 142 <- wrt source file 2025-12-04T09:46:33.4077256Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_flock_with_timeout:0 2025-12-04T09:46:33.4079023Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_flock_with_timeout:0, line 179 <- wrt source file 2025-12-04T09:46:33.4080867Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_flock_with_timeout:0 2025-12-04T09:46:33.4082688Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/template_heuristics/registry.py::register_template_heuristic:0, line 54 <- wrt source file 2025-12-04T09:46:33.4084538Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/template_heuristics/registry.py::register_template_heuristic:0 2025-12-04T09:46:33.4086131Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::custom_op:0, line 101 <- wrt source file 2025-12-04T09:46:33.4537171Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::custom_op:0 2025-12-04T09:46:33.4538728Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0, line 241 <- wrt source file 2025-12-04T09:46:33.4664091Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0 2025-12-04T09:46:33.4665825Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0, line 310 <- wrt source file 2025-12-04T09:46:33.4667458Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0 2025-12-04T09:46:33.4669077Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0, line 549 <- wrt source file 2025-12-04T09:46:33.4912180Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0 2025-12-04T09:46:33.4913793Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0, line 724 <- wrt source file 2025-12-04T09:46:33.5157730Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0 2025-12-04T09:46:33.5159839Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0, line 810 <- wrt source file 2025-12-04T09:46:33.5161697Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0 2025-12-04T09:46:33.5163299Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0, line 273 <- wrt source file 2025-12-04T09:46:33.5164920Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0 2025-12-04T09:46:33.5166488Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0, line 175 <- wrt source file 2025-12-04T09:46:33.5271794Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0 2025-12-04T09:46:33.5273313Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/infer_schema.py::infer_schema:0, line 53 <- wrt source file 2025-12-04T09:46:33.5283020Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/infer_schema.py::infer_schema:0 2025-12-04T09:46:33.5284690Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::triton_op:0, line 136 <- wrt source file 2025-12-04T09:46:33.5286189Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::triton_op:0 2025-12-04T09:46:33.5287620Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::wrap_triton:0, line 307 <- wrt source file 2025-12-04T09:46:33.5289105Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::wrap_triton:0 2025-12-04T09:46:33.5290462Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_logging/_internal.py::set_logs:0, line 460 <- wrt source file 2025-12-04T09:46:33.5291917Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_logging/_internal.py::set_logs:0 2025-12-04T09:46:33.5293317Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_equal:0, line 171 <- wrt source file 2025-12-04T09:46:33.5332111Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_equal:0 2025-12-04T09:46:33.5333734Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::print_assert_equal:0, line 302 <- wrt source file 2025-12-04T09:46:33.5335272Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::print_assert_equal:0 2025-12-04T09:46:33.5336774Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_almost_equal:0, line 375 <- wrt source file 2025-12-04T09:46:33.5389942Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_almost_equal:0 2025-12-04T09:46:33.5391463Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_approx_equal:0, line 496 <- wrt source file 2025-12-04T09:46:33.5394514Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_approx_equal:0 2025-12-04T09:46:33.5396063Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_equal:0, line 793 <- wrt source file 2025-12-04T09:46:33.5468097Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_equal:0 2025-12-04T09:46:33.5469661Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal:0, line 899 <- wrt source file 2025-12-04T09:46:33.5539913Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal:0 2025-12-04T09:46:33.5541452Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0, line 1008 <- wrt source file 2025-12-04T09:46:33.5603559Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0 2025-12-04T09:46:33.5605148Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0, line 1073 <- wrt source file 2025-12-04T09:46:33.5606703Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0 2025-12-04T09:46:33.5608197Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0, line 1294 <- wrt source file 2025-12-04T09:46:33.5627413Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0 2025-12-04T09:46:33.5628972Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0, line 1360 <- wrt source file 2025-12-04T09:46:33.5632924Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0 2025-12-04T09:46:33.5634507Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0, line 1423 <- wrt source file 2025-12-04T09:46:33.5638779Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0 2025-12-04T09:46:33.5640410Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0, line 1468 <- wrt source file 2025-12-04T09:46:33.5641832Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0 2025-12-04T09:46:33.5643254Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_warns:0, line 1578 <- wrt source file 2025-12-04T09:46:33.5647013Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_warns:0 2025-12-04T09:46:33.5648523Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::clear_and_catch_warnings:0, line 1881 <- wrt source file 2025-12-04T09:46:33.5650622Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::clear_and_catch_warnings:0 2025-12-04T09:46:33.5652298Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims/context.py::TorchRefsMode:0, line 95 <- wrt source file 2025-12-04T09:46:33.5653939Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims/context.py::TorchRefsMode:0 2025-12-04T09:46:33.5655652Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/complex_tensor/_ops/common.py::is_complex_tensor:0, line 47 <- wrt source file 2025-12-04T09:46:33.5657596Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/complex_tensor/_ops/common.py::is_complex_tensor:0 2025-12-04T09:46:33.5659316Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/amp/grad_scaler.py::GradScaler:0, line 64 <- wrt source file 2025-12-04T09:46:33.5660969Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/amp/grad_scaler.py::GradScaler:0 2025-12-04T09:46:33.5662631Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0, line 34 <- wrt source file 2025-12-04T09:46:33.5664363Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0 2025-12-04T09:46:33.5666178Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0, line 24 <- wrt source file 2025-12-04T09:46:33.5668103Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0 2025-12-04T09:46:33.5669942Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0, line 25 <- wrt source file 2025-12-04T09:46:33.5671766Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0 2025-12-04T09:46:33.5673590Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0, line 67 <- wrt source file 2025-12-04T09:46:33.5675533Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0 2025-12-04T09:46:33.5677367Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0, line 142 <- wrt source file 2025-12-04T09:46:33.5679199Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0 2025-12-04T09:46:33.5680853Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0, line 29 <- wrt source file 2025-12-04T09:46:33.5687415Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0 2025-12-04T09:46:33.5689085Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0, line 413 <- wrt source file 2025-12-04T09:46:33.5729041Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0 2025-12-04T09:46:33.5732236Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0, line 210 <- wrt source file 2025-12-04T09:46:33.5734061Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0 2025-12-04T09:46:33.5735567Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0, line 282 <- wrt source file 2025-12-04T09:46:33.5737065Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0 2025-12-04T09:46:33.5738528Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0, line 358 <- wrt source file 2025-12-04T09:46:33.5740032Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0 2025-12-04T09:46:33.5741743Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0, line 95 <- wrt source file 2025-12-04T09:46:33.5743470Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0 2025-12-04T09:46:33.5745050Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0, line 145 <- wrt source file 2025-12-04T09:46:33.5748485Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0 2025-12-04T09:46:33.5750368Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0, line 43 <- wrt source file 2025-12-04T09:46:33.5752187Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0 2025-12-04T09:46:33.5753950Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0, line 126 <- wrt source file 2025-12-04T09:46:33.5755820Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0 2025-12-04T09:46:33.5757662Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0, line 212 <- wrt source file 2025-12-04T09:46:33.5759461Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0 2025-12-04T09:46:33.5761268Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0, line 300 <- wrt source file 2025-12-04T09:46:33.5763043Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0 2025-12-04T09:46:33.5764853Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0, line 383 <- wrt source file 2025-12-04T09:46:33.5766966Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0 2025-12-04T09:46:33.5768892Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0, line 466 <- wrt source file 2025-12-04T09:46:33.5770848Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0 2025-12-04T09:46:33.5772753Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0, line 30 <- wrt source file 2025-12-04T09:46:33.5774431Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0 2025-12-04T09:46:33.5776035Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0, line 516 <- wrt source file 2025-12-04T09:46:33.5777637Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0 2025-12-04T09:46:33.5779299Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0, line 803 <- wrt source file 2025-12-04T09:46:33.5781394Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0 2025-12-04T09:46:33.5783467Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0, line 1209 <- wrt source file 2025-12-04T09:46:33.5785626Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0 2025-12-04T09:46:33.5787877Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0, line 1276 <- wrt source file 2025-12-04T09:46:33.5790124Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0 2025-12-04T09:46:33.5792237Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0, line 1329 <- wrt source file 2025-12-04T09:46:33.5794380Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0 2025-12-04T09:46:33.5796498Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0, line 36 <- wrt source file 2025-12-04T09:46:33.5798594Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0 2025-12-04T09:46:33.5800767Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv1d:0, line 376 <- wrt source file 2025-12-04T09:46:33.5802776Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv1d:0 2025-12-04T09:46:33.5804711Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0, line 506 <- wrt source file 2025-12-04T09:46:33.5806678Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0 2025-12-04T09:46:33.5808601Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0, line 636 <- wrt source file 2025-12-04T09:46:33.5810578Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0 2025-12-04T09:46:33.5812601Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0, line 893 <- wrt source file 2025-12-04T09:46:33.5814751Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0 2025-12-04T09:46:33.5816856Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0, line 1015 <- wrt source file 2025-12-04T09:46:33.5819002Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0 2025-12-04T09:46:33.5821112Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0, line 1141 <- wrt source file 2025-12-04T09:46:33.5823271Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0 2025-12-04T09:46:33.5825387Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0, line 111 <- wrt source file 2025-12-04T09:46:33.5827598Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0 2025-12-04T09:46:33.5829782Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0, line 275 <- wrt source file 2025-12-04T09:46:33.5832058Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0 2025-12-04T09:46:33.5834475Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0, line 23 <- wrt source file 2025-12-04T09:46:33.5836940Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0 2025-12-04T09:46:33.5839377Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0, line 176 <- wrt source file 2025-12-04T09:46:33.5841709Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0 2025-12-04T09:46:33.5843837Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0, line 135 <- wrt source file 2025-12-04T09:46:33.5845842Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0 2025-12-04T09:46:33.5847769Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/rnn.py::LSTM:0, line 24 <- wrt source file 2025-12-04T09:46:33.5849685Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/rnn.py::LSTM:0 2025-12-04T09:46:33.5852089Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py::BaseDataScheduler.get_schedule_param:0, line 98 <- wrt source file 2025-12-04T09:46:33.5859458Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py::BaseDataScheduler.get_schedule_param:0 2025-12-04T09:46:33.5861568Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0, line 55 <- wrt source file 2025-12-04T09:46:33.5863617Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0 2025-12-04T09:46:33.5865437Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0, line 24 <- wrt source file 2025-12-04T09:46:33.5867111Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0 2025-12-04T09:46:33.5868793Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0, line 47 <- wrt source file 2025-12-04T09:46:33.5870532Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0 2025-12-04T09:46:33.5872609Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier.squash_mask:0, line 251 <- wrt source file 2025-12-04T09:46:33.5874778Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier.squash_mask:0 2025-12-04T09:46:33.5876557Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0, line 175 <- wrt source file 2025-12-04T09:46:33.5878146Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0 2025-12-04T09:46:33.5879742Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0, line 32 <- wrt source file 2025-12-04T09:46:33.5884503Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0 2025-12-04T09:46:33.5886314Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0, line 83 <- wrt source file 2025-12-04T09:46:33.5892685Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0 2025-12-04T09:46:33.5894407Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0, line 143 <- wrt source file 2025-12-04T09:46:33.5899513Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0 2025-12-04T09:46:33.5901414Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0, line 182 <- wrt source file 2025-12-04T09:46:33.5907330Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0 2025-12-04T09:46:33.5910120Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_args:0, line 110 <- wrt source file 2025-12-04T09:46:33.5912047Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_args:0 2025-12-04T09:46:33.5914033Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0, line 132 <- wrt source file 2025-12-04T09:46:33.5916009Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0 2025-12-04T09:46:33.5918928Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0, line 218 <- wrt source file 2025-12-04T09:46:33.5921553Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0 2025-12-04T09:46:33.5923783Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0, line 288 <- wrt source file 2025-12-04T09:46:33.5926646Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0 2025-12-04T09:46:33.5928192Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0, line 427 <- wrt source file 2025-12-04T09:46:33.5929789Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0 2025-12-04T09:46:33.5931932Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0, line 608 <- wrt source file 2025-12-04T09:46:33.5934868Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0 2025-12-04T09:46:33.5937564Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0, line 668 <- wrt source file 2025-12-04T09:46:33.5939282Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0 2025-12-04T09:46:33.5941904Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0, line 720 <- wrt source file 2025-12-04T09:46:33.5943758Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0 2025-12-04T09:46:33.5945641Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0, line 51 <- wrt source file 2025-12-04T09:46:33.5948780Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0 2025-12-04T09:46:33.5951549Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0, line 130 <- wrt source file 2025-12-04T09:46:33.5954461Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0 2025-12-04T09:46:33.5956794Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0, line 228 <- wrt source file 2025-12-04T09:46:33.5958590Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0 2025-12-04T09:46:33.5961159Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0, line 171 <- wrt source file 2025-12-04T09:46:33.5963788Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0 2025-12-04T09:46:33.5966035Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0, line 553 <- wrt source file 2025-12-04T09:46:33.5967607Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0 2025-12-04T09:46:33.5969178Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0, line 575 <- wrt source file 2025-12-04T09:46:33.5970778Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0 2025-12-04T09:46:33.5972724Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0, line 589 <- wrt source file 2025-12-04T09:46:33.5975396Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0 2025-12-04T09:46:33.5976932Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0, line 611 <- wrt source file 2025-12-04T09:46:33.5978843Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0 2025-12-04T09:46:33.5980500Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0, line 738 <- wrt source file 2025-12-04T09:46:33.5982043Z * SKIPPED: 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85 <- wrt source file 2025-12-04T09:46:33.5994265Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report.py::ModelReport:0 2025-12-04T09:46:33.5996450Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_filtered_tables:0, line 341 <- wrt source file 2025-12-04T09:46:33.5999327Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_filtered_tables:0 2025-12-04T09:46:33.6001956Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_table_visualization:0, line 429 <- wrt source file 2025-12-04T09:46:33.6004705Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_table_visualization:0 2025-12-04T09:46:33.6007543Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_plot_visualization:0, line 591 <- wrt source file 2025-12-04T09:46:33.6010419Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_plot_visualization:0 2025-12-04T09:46:33.6013290Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_histogram_visualization:0, line 664 <- wrt source file 2025-12-04T09:46:33.6016243Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_histogram_visualization:0 2025-12-04T09:46:33.6018352Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0, line 104 <- wrt source file 2025-12-04T09:46:33.6020204Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0 2025-12-04T09:46:33.6022441Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0, line 155 <- wrt source file 2025-12-04T09:46:33.6024336Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0 2025-12-04T09:46:33.6026104Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0, line 189 <- wrt source file 2025-12-04T09:46:33.6027888Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0 2025-12-04T09:46:33.6029696Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0, line 442 <- wrt source file 2025-12-04T09:46:33.6031563Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0 2025-12-04T09:46:33.6033219Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0, line 28 <- wrt source file 2025-12-04T09:46:33.6034722Z * SKIPPED: 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/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::dual_level:0 2025-12-04T09:46:33.6045526Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0, line 72 <- wrt source file 2025-12-04T09:46:33.6047183Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0 2025-12-04T09:46:33.6048807Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0, line 116 <- wrt source file 2025-12-04T09:46:33.6050444Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0 2025-12-04T09:46:33.6052008Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0, line 169 <- wrt source file 2025-12-04T09:46:33.6053581Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0 2025-12-04T09:46:33.6055206Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0, line 216 <- wrt source file 2025-12-04T09:46:33.6056950Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0 2025-12-04T09:46:33.6058618Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0, line 245 <- wrt source file 2025-12-04T09:46:33.6060323Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0 2025-12-04T09:46:33.6061846Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::Function:0, line 487 <- wrt source file 2025-12-04T09:46:33.6063760Z * SKIPPED: 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DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hessian:0, line 907 <- wrt source file 2025-12-04T09:46:33.6076338Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hessian:0 2025-12-04T09:46:33.6077711Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vhp:0, line 1026 <- wrt source file 2025-12-04T09:46:33.6079072Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vhp:0 2025-12-04T09:46:33.6080421Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hvp:0, line 1125 <- wrt source file 2025-12-04T09:46:33.6081899Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hvp:0 2025-12-04T09:46:33.6083638Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::no_grad:0, line 50 <- wrt source file 2025-12-04T09:46:33.6084999Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::no_grad:0 2025-12-04T09:46:33.6086377Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::enable_grad:0, line 108 <- wrt source file 2025-12-04T09:46:33.6087795Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::enable_grad:0 2025-12-04T09:46:33.6089218Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0, line 166 <- wrt source file 2025-12-04T09:46:33.6090683Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0 2025-12-04T09:46:33.6092136Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::inference_mode:0, line 252 <- wrt source file 2025-12-04T09:46:33.6093602Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::inference_mode:0 2025-12-04T09:46:33.6094981Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.name:0, line 60 <- wrt source file 2025-12-04T09:46:33.6096362Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.name:0 2025-12-04T09:46:33.6097737Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.register_hook:0, line 117 <- wrt source file 2025-12-04T09:46:33.6099203Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.register_hook:0 2025-12-04T09:46:33.6100793Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.register_prehook:0, line 154 <- wrt source file 2025-12-04T09:46:33.6102311Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.register_prehook:0 2025-12-04T09:46:33.6103760Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0, line 292 <- wrt source file 2025-12-04T09:46:33.6105773Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0 2025-12-04T09:46:33.6107678Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::save_on_cpu:0, line 362 <- wrt source file 2025-12-04T09:46:33.6109916Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::save_on_cpu:0 2025-12-04T09:46:33.6112595Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0, line 419 <- wrt source file 2025-12-04T09:46:33.6115101Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0 2025-12-04T09:46:33.6118243Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0, line 503 <- wrt source file 2025-12-04T09:46:33.6121083Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0 2025-12-04T09:46:33.6124077Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0, line 777 <- wrt source file 2025-12-04T09:46:33.6127218Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0 2025-12-04T09:46:33.6129522Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::profile:0, line 182 <- wrt source file 2025-12-04T09:46:33.6131423Z * SKIPPED: 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2025-12-04T09:46:33.6144892Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler_util.py::EventList:0, line 60 <- wrt source file 2025-12-04T09:46:33.6146456Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler_util.py::EventList:0 2025-12-04T09:46:33.6148848Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_register_buffer:0, line 43 <- wrt source file 2025-12-04T09:46:33.6150228Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_register_buffer:0 2025-12-04T09:46:33.6151591Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0, line 59 <- wrt source file 2025-12-04T09:46:33.6153006Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0 2025-12-04T09:46:33.6154318Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::GdsFile:0, line 86 <- wrt source file 2025-12-04T09:46:33.6155641Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::GdsFile:0 2025-12-04T09:46:33.6156954Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0, line 114 <- wrt source file 2025-12-04T09:46:33.6158397Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0 2025-12-04T09:46:33.6159856Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1, line 125 <- wrt source file 2025-12-04T09:46:33.6161268Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1 2025-12-04T09:46:33.6163018Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2, line 140 <- wrt source file 2025-12-04T09:46:33.6165130Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2 2025-12-04T09:46:33.6166847Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0, line 173 <- wrt source file 2025-12-04T09:46:33.6168650Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0 2025-12-04T09:46:33.6170072Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/profiler.py::profile:0, line 75 <- wrt source file 2025-12-04T09:46:33.6171411Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/profiler.py::profile:0 2025-12-04T09:46:33.6172940Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.composition:0, line 125 <- wrt source file 2025-12-04T09:46:33.6175055Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.composition:0 2025-12-04T09:46:33.6176690Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.complement:0, line 142 <- wrt source file 2025-12-04T09:46:33.6178347Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.complement:0 2025-12-04T09:46:33.6180194Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.remap_to_tensor:0, line 281 <- wrt source file 2025-12-04T09:46:33.6182736Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.remap_to_tensor:0 2025-12-04T09:46:33.6185058Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0, line 167 <- wrt source file 2025-12-04T09:46:33.6186698Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0 2025-12-04T09:46:33.6189713Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0, line 1027 <- wrt source file 2025-12-04T09:46:33.6191703Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0 2025-12-04T09:46:33.6193286Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::init_device_mesh:0, line 1317 <- wrt source file 2025-12-04T09:46:33.6194883Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::init_device_mesh:0 2025-12-04T09:46:33.6196546Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::_coalescing_manager:0, line 2652 <- wrt source file 2025-12-04T09:46:33.6198231Z * SKIPPED: 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* SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::scatter_object_list:0 2025-12-04T09:46:33.6235401Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather:0, line 3947 <- wrt source file 2025-12-04T09:46:33.6238376Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather:0 2025-12-04T09:46:33.6241481Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather_into_tensor:0, line 4054 <- wrt source file 2025-12-04T09:46:33.6244754Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather_into_tensor:0 2025-12-04T09:46:33.6247933Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather_coalesced:0, line 4192 <- wrt source file 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DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/format_utils.py::DynamicMetaLoadPlanner:0, line 173 <- wrt source file 2025-12-04T09:46:33.6498393Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/format_utils.py::DynamicMetaLoadPlanner:0 2025-12-04T09:46:33.6500381Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/optimizer.py::load_sharded_optimizer_state_dict:0, line 228 <- wrt source file 2025-12-04T09:46:33.6502306Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/optimizer.py::load_sharded_optimizer_state_dict:0 2025-12-04T09:46:33.6504068Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict.py::get_state_dict:0, line 1276 <- wrt source file 2025-12-04T09:46:33.6506284Z * SKIPPED: 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2025-12-04T09:46:33.6779834Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::RowwiseParallel:0, line 198 <- wrt source file 2025-12-04T09:46:33.6781569Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::RowwiseParallel:0 2025-12-04T09:46:33.6783271Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::SequenceParallel:0, line 350 <- wrt source file 2025-12-04T09:46:33.6784998Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::SequenceParallel:0 2025-12-04T09:46:33.6786724Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInput:0, line 452 <- wrt source file 2025-12-04T09:46:33.6788499Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInput:0 2025-12-04T09:46:33.6790255Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleOutput:0, line 614 <- wrt source file 2025-12-04T09:46:33.6792043Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleOutput:0 2025-12-04T09:46:33.6793824Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInputOutput:0, line 740 <- wrt source file 2025-12-04T09:46:33.6795737Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInputOutput:0 2025-12-04T09:46:33.6797388Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/bernoulli.py::Bernoulli:0, line 30 <- wrt source file 2025-12-04T09:46:33.6798887Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/bernoulli.py::Bernoulli:0 2025-12-04T09:46:33.6800416Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/beta.py::Beta:0, line 21 <- wrt source file 2025-12-04T09:46:33.6801789Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/beta.py::Beta:0 2025-12-04T09:46:33.6803183Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/binomial.py::Binomial:0, line 31 <- wrt source file 2025-12-04T09:46:33.6804647Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/binomial.py::Binomial:0 2025-12-04T09:46:33.6806225Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/categorical.py::Categorical:0, line 42 <- wrt source file 2025-12-04T09:46:33.6807791Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/categorical.py::Categorical:0 2025-12-04T09:46:33.6809313Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/cauchy.py::Cauchy:0, line 23 <- wrt source file 2025-12-04T09:46:33.6810721Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/cauchy.py::Cauchy:0 2025-12-04T09:46:33.6812073Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/chi2.py::Chi2:0, line 18 <- wrt source file 2025-12-04T09:46:33.6813410Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/chi2.py::Chi2:0 2025-12-04T09:46:33.6814848Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::is_dependent:0, line 167 <- wrt source file 2025-12-04T09:46:33.6816406Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::is_dependent:0 2025-12-04T09:46:33.6817988Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::_DependentProperty:0, line 188 <- wrt source file 2025-12-04T09:46:33.6819630Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::_DependentProperty:0 2025-12-04T09:46:33.6821323Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0, line 35 <- wrt source file 2025-12-04T09:46:33.6823109Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0 2025-12-04T09:46:33.6824708Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/dirichlet.py::Dirichlet:0, line 44 <- wrt source file 2025-12-04T09:46:33.6826192Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/dirichlet.py::Dirichlet:0 2025-12-04T09:46:33.6827686Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/exponential.py::Exponential:0, line 20 <- wrt source file 2025-12-04T09:46:33.6829232Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/exponential.py::Exponential:0 2025-12-04T09:46:33.6830799Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0, line 21 <- wrt source file 2025-12-04T09:46:33.6832433Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0 2025-12-04T09:46:33.6833891Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gamma.py::Gamma:0, line 24 <- wrt source file 2025-12-04T09:46:33.6835271Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gamma.py::Gamma:0 2025-12-04T09:46:33.6836866Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0, line 26 <- wrt source file 2025-12-04T09:46:33.6838589Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0 2025-12-04T09:46:33.6840146Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/geometric.py::Geometric:0, line 36 <- wrt source file 2025-12-04T09:46:33.6841639Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/geometric.py::Geometric:0 2025-12-04T09:46:33.6843164Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gumbel.py::Gumbel:0, line 23 <- wrt source file 2025-12-04T09:46:33.6844634Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gumbel.py::Gumbel:0 2025-12-04T09:46:33.6846059Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0, line 24 <- wrt source file 2025-12-04T09:46:33.6847581Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0 2025-12-04T09:46:33.6849072Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_normal.py::HalfNormal:0, line 24 <- wrt source file 2025-12-04T09:46:33.6850593Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_normal.py::HalfNormal:0 2025-12-04T09:46:33.6852110Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/independent.py::Independent:0, line 27 <- wrt source file 2025-12-04T09:46:33.6853652Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/independent.py::Independent:0 2025-12-04T09:46:33.6855180Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0, line 24 <- wrt source file 2025-12-04T09:46:33.6856760Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0 2025-12-04T09:46:33.6858301Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0, line 30 <- wrt source file 2025-12-04T09:46:33.6859905Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0 2025-12-04T09:46:33.6861358Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/laplace.py::Laplace:0, line 20 <- wrt source file 2025-12-04T09:46:33.6862802Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/laplace.py::Laplace:0 2025-12-04T09:46:33.6864266Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0, line 43 <- wrt source file 2025-12-04T09:46:33.6865834Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0 2025-12-04T09:46:33.6867310Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/log_normal.py::LogNormal:0, line 23 <- wrt source file 2025-12-04T09:46:33.6868805Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/log_normal.py::LogNormal:0 2025-12-04T09:46:33.6870349Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0, line 28 <- wrt source file 2025-12-04T09:46:33.6871995Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0 2025-12-04T09:46:33.6873760Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lowrank_multivariate_normal.py::LowRankMultivariateNormal:0, line 63 <- wrt source file 2025-12-04T09:46:33.6875757Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lowrank_multivariate_normal.py::LowRankMultivariateNormal:0 2025-12-04T09:46:33.6877563Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/mixture_same_family.py::MixtureSameFamily:0, line 24 <- wrt source file 2025-12-04T09:46:33.6879365Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/mixture_same_family.py::MixtureSameFamily:0 2025-12-04T09:46:33.6880986Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multinomial.py::Multinomial:0, line 38 <- wrt source file 2025-12-04T09:46:33.6882592Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multinomial.py::Multinomial:0 2025-12-04T09:46:33.6884230Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0, line 103 <- wrt source file 2025-12-04T09:46:33.6885992Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0 2025-12-04T09:46:33.6887537Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/normal.py::Normal:0, line 22 <- wrt source file 2025-12-04T09:46:33.6888952Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/normal.py::Normal:0 2025-12-04T09:46:33.6890481Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0, line 34 <- wrt source file 2025-12-04T09:46:33.6892322Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0 2025-12-04T09:46:33.6893861Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/pareto.py::Pareto:0, line 20 <- wrt source file 2025-12-04T09:46:33.6895273Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/pareto.py::Pareto:0 2025-12-04T09:46:33.6896658Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/poisson.py::Poisson:0, line 25 <- wrt source file 2025-12-04T09:46:33.6898101Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/poisson.py::Poisson:0 2025-12-04T09:46:33.6899651Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0, line 130 <- wrt source file 2025-12-04T09:46:33.6901459Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0 2025-12-04T09:46:33.6903182Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0, line 117 <- wrt source file 2025-12-04T09:46:33.6905008Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0 2025-12-04T09:46:33.6906613Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/studentT.py::StudentT:0, line 22 <- wrt source file 2025-12-04T09:46:33.6908074Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/studentT.py::StudentT:0 2025-12-04T09:46:33.6909572Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CatTransform:0, line 1076 <- wrt source file 2025-12-04T09:46:33.6911126Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CatTransform:0 2025-12-04T09:46:33.6912676Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::StackTransform:0, line 1190 <- wrt source file 2025-12-04T09:46:33.6914271Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::StackTransform:0 2025-12-04T09:46:33.6916149Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0, line 1268 <- wrt source file 2025-12-04T09:46:33.6917993Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0 2025-12-04T09:46:33.6919660Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/uniform.py::Uniform:0, line 21 <- wrt source file 2025-12-04T09:46:33.6921089Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/uniform.py::Uniform:0 2025-12-04T09:46:33.6922500Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/utils.py::clamp_probs:0, line 114 <- wrt source file 2025-12-04T09:46:33.6923956Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/utils.py::clamp_probs:0 2025-12-04T09:46:33.6925379Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/von_mises.py::VonMises:0, line 119 <- wrt source file 2025-12-04T09:46:33.6926850Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/von_mises.py::VonMises:0 2025-12-04T09:46:33.6928276Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/weibull.py::Weibull:0, line 22 <- wrt source file 2025-12-04T09:46:33.6929701Z * SUCCESS: 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/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/graph_drawer.py::FxGraphDrawer.get_dot_graph:0, line 129 <- wrt source file 2025-12-04T09:46:33.7150545Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/graph_drawer.py::FxGraphDrawer.get_dot_graph:0 2025-12-04T09:46:33.7152059Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/shape_prop.py::ShapeProp:0, line 99 <- wrt source file 2025-12-04T09:46:33.7153500Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/shape_prop.py::ShapeProp:0 2025-12-04T09:46:33.7154922Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/split_module.py::split_module:0, line 94 <- wrt source file 2025-12-04T09:46:33.7156489Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/split_module.py::split_module:0 2025-12-04T09:46:33.7158253Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/utils/matcher_with_name_node_map_utils.py::SubgraphMatcherWithNameNodeMap:0, line 51 <- wrt source file 2025-12-04T09:46:33.7160321Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/utils/matcher_with_name_node_map_utils.py::SubgraphMatcherWithNameNodeMap:0 2025-12-04T09:46:33.7162111Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0, line 37 <- wrt source file 2025-12-04T09:46:33.7163707Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0 2025-12-04T09:46:33.7165272Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_load_for_lite_interpreter:0, line 22 <- wrt source file 2025-12-04T09:46:33.7166854Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_load_for_lite_interpreter:0 2025-12-04T09:46:33.7168533Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0, line 125 <- wrt source file 2025-12-04T09:46:33.7170210Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0 2025-12-04T09:46:33.7171849Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0, line 225 <- wrt source file 2025-12-04T09:46:33.7173388Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0 2025-12-04T09:46:33.7174806Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/_ops.py::logaddexp:0, line 1538 <- wrt source file 2025-12-04T09:46:33.7176135Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/_ops.py::logaddexp:0 2025-12-04T09:46:33.7177567Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0, line 25 <- wrt source file 2025-12-04T09:46:33.7179135Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0 2025-12-04T09:46:33.7180722Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0, line 470 <- wrt source file 2025-12-04T09:46:33.7182382Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0 2025-12-04T09:46:33.7183992Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0, line 589 <- wrt source file 2025-12-04T09:46:33.8000564Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0 2025-12-04T09:46:33.8016320Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::gumbel_softmax:0, line 2198 <- wrt source file 2025-12-04T09:46:33.8028297Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::gumbel_softmax:0 2025-12-04T09:46:33.8030108Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding:0, line 2503 <- wrt source file 2025-12-04T09:46:33.8042066Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding:0 2025-12-04T09:46:33.8044604Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding_bag:0, line 2645 <- wrt source file 2025-12-04T09:46:33.8058331Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding_bag:0 2025-12-04T09:46:33.8061032Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::ctc_loss:0, line 3087 <- wrt source file 2025-12-04T09:46:33.8079316Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::ctc_loss:0 2025-12-04T09:46:33.8081873Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::nll_loss:0, line 3157 <- wrt source file 2025-12-04T09:46:33.8090127Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::nll_loss:0 2025-12-04T09:46:33.8093197Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::cross_entropy:0, line 3476 <- wrt source file 2025-12-04T09:46:33.8105554Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::cross_entropy:0 2025-12-04T09:46:33.8109167Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy:0, line 3542 <- wrt source file 2025-12-04T09:46:33.8117557Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy:0 2025-12-04T09:46:33.8121188Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0, line 3613 <- wrt source file 2025-12-04T09:46:33.8129116Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0 2025-12-04T09:46:33.8132286Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::pad:0, line 5387 <- wrt source file 2025-12-04T09:46:33.8145366Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::pad:0 2025-12-04T09:46:33.8147834Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_input:0, line 32 <- wrt source file 2025-12-04T09:46:33.8159222Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_input:0 2025-12-04T09:46:33.8162045Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_weight:0, line 79 <- wrt source file 2025-12-04T09:46:33.8168915Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_weight:0 2025-12-04T09:46:33.8171817Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_input:0, line 130 <- wrt source file 2025-12-04T09:46:33.8182700Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_input:0 2025-12-04T09:46:33.8185525Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_weight:0, line 177 <- wrt source file 2025-12-04T09:46:33.8192507Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_weight:0 2025-12-04T09:46:33.8195512Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_input:0, line 228 <- wrt source file 2025-12-04T09:46:33.8235289Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_input:0 2025-12-04T09:46:33.8238551Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_weight:0, line 275 <- wrt source file 2025-12-04T09:46:33.8262190Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_weight:0 2025-12-04T09:46:33.8264575Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::calculate_gain:0, line 172 <- wrt source file 2025-12-04T09:46:33.8267618Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::calculate_gain:0 2025-12-04T09:46:33.8269984Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::uniform_:0, line 231 <- wrt source file 2025-12-04T09:46:33.8274185Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::uniform_:0 2025-12-04T09:46:33.8276568Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::normal_:0, line 258 <- wrt source file 2025-12-04T09:46:33.8280629Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::normal_:0 2025-12-04T09:46:33.8282978Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::trunc_normal_:0, line 293 <- wrt source file 2025-12-04T09:46:33.8288787Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::trunc_normal_:0 2025-12-04T09:46:33.8291931Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::constant_:0, line 307 <- wrt source file 2025-12-04T09:46:33.8294994Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::constant_:0 2025-12-04T09:46:33.8297544Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::ones_:0, line 324 <- wrt source file 2025-12-04T09:46:33.8301657Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::ones_:0 2025-12-04T09:46:33.8303939Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::zeros_:0, line 337 <- wrt source file 2025-12-04T09:46:33.8308065Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::zeros_:0 2025-12-04T09:46:33.8310306Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::eye_:0, line 353 <- wrt source file 2025-12-04T09:46:33.8314541Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::eye_:0 2025-12-04T09:46:33.8316924Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::dirac_:0, line 375 <- wrt source file 2025-12-04T09:46:33.8323339Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::dirac_:0 2025-12-04T09:46:33.8325684Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_uniform_:0, line 461 <- wrt source file 2025-12-04T09:46:33.8330474Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_uniform_:0 2025-12-04T09:46:33.8332908Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_normal_:0, line 493 <- wrt source file 2025-12-04T09:46:33.8336092Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_normal_:0 2025-12-04T09:46:33.8338571Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_uniform_:0, line 545 <- wrt source file 2025-12-04T09:46:33.8343376Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_uniform_:0 2025-12-04T09:46:33.8345858Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_normal_:0, line 610 <- wrt source file 2025-12-04T09:46:33.8349932Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_normal_:0 2025-12-04T09:46:33.8352412Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::orthogonal_:0, line 649 <- wrt source file 2025-12-04T09:46:33.8354781Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::orthogonal_:0 2025-12-04T09:46:33.8356948Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::sparse_:0, line 702 <- wrt source file 2025-12-04T09:46:33.8359881Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::sparse_:0 2025-12-04T09:46:33.8362377Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0, line 124 <- wrt source file 2025-12-04T09:46:33.8365137Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0 2025-12-04T09:46:33.8368029Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/_registry.py::register_flash_attention_impl:0, line 47 <- wrt source file 2025-12-04T09:46:33.8371191Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/_registry.py::register_flash_attention_impl:0 2025-12-04T09:46:33.8374322Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/_registry.py::activate_flash_attention_impl:0, line 78 <- wrt source file 2025-12-04T09:46:33.8377515Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/_registry.py::activate_flash_attention_impl:0 2025-12-04T09:46:33.8380401Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/bias.py::CausalBias:0, line 94 <- wrt source file 2025-12-04T09:46:33.8382792Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/bias.py::CausalBias:0 2025-12-04T09:46:33.8385500Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/varlen.py::varlen_attn:0, line 166 <- wrt source file 2025-12-04T09:46:33.8387982Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/varlen.py::varlen_attn:0 2025-12-04T09:46:33.8390704Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Threshold:0, line 72 <- wrt source file 2025-12-04T09:46:33.8393433Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Threshold:0 2025-12-04T09:46:33.8395825Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU:0, line 120 <- wrt source file 2025-12-04T09:46:33.8398504Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU:0 2025-12-04T09:46:33.8401286Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::RReLU:0, line 185 <- wrt source file 2025-12-04T09:46:33.8403713Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::RReLU:0 2025-12-04T09:46:33.8406375Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardtanh:0, line 247 <- wrt source file 2025-12-04T09:46:33.8409126Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardtanh:0 2025-12-04T09:46:33.8411512Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU6:0, line 318 <- wrt source file 2025-12-04T09:46:33.8414210Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU6:0 2025-12-04T09:46:33.8416787Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Sigmoid:0, line 349 <- wrt source file 2025-12-04T09:46:33.8420719Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Sigmoid:0 2025-12-04T09:46:33.8423868Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0, line 384 <- wrt source file 2025-12-04T09:46:33.8429349Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0 2025-12-04T09:46:33.8432015Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanh:0, line 420 <- wrt source file 2025-12-04T09:46:33.8436443Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanh:0 2025-12-04T09:46:33.8439398Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SiLU:0, line 456 <- wrt source file 2025-12-04T09:46:33.8445114Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SiLU:0 2025-12-04T09:46:33.8448354Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Mish:0, line 501 <- wrt source file 2025-12-04T09:46:33.8453049Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Mish:0 2025-12-04T09:46:33.8456351Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardswish:0, line 552 <- wrt source file 2025-12-04T09:46:33.8461756Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardswish:0 2025-12-04T09:46:33.8464774Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ELU:0, line 598 <- wrt source file 2025-12-04T09:46:33.8470259Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ELU:0 2025-12-04T09:46:33.8473218Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::CELU:0, line 646 <- wrt source file 2025-12-04T09:46:33.8478937Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::CELU:0 2025-12-04T09:46:33.8481905Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SELU:0, line 705 <- wrt source file 2025-12-04T09:46:33.8486833Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SELU:0 2025-12-04T09:46:33.8489796Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GLU:0, line 751 <- wrt source file 2025-12-04T09:46:33.8495593Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GLU:0 2025-12-04T09:46:33.8498554Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GELU:0, line 799 <- wrt source file 2025-12-04T09:46:33.8506920Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GELU:0 2025-12-04T09:46:33.8510099Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardshrink:0, line 848 <- wrt source file 2025-12-04T09:46:33.8514843Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardshrink:0 2025-12-04T09:46:33.8517621Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LeakyReLU:0, line 903 <- wrt source file 2025-12-04T09:46:33.8522295Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LeakyReLU:0 2025-12-04T09:46:33.8525013Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSigmoid:0, line 945 <- wrt source file 2025-12-04T09:46:33.8529874Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSigmoid:0 2025-12-04T09:46:33.8532992Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softplus:0, line 981 <- wrt source file 2025-12-04T09:46:33.8538498Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softplus:0 2025-12-04T09:46:33.8541621Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softshrink:0, line 1030 <- wrt source file 2025-12-04T09:46:33.8546409Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softshrink:0 2025-12-04T09:46:33.8549352Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0, line 1148 <- wrt source file 2025-12-04T09:46:33.8552382Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0 2025-12-04T09:46:33.8555037Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::PReLU:0, line 1613 <- wrt source file 2025-12-04T09:46:33.8558027Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::PReLU:0 2025-12-04T09:46:33.8560387Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softsign:0, line 1664 <- wrt source file 2025-12-04T09:46:33.8563172Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softsign:0 2025-12-04T09:46:33.8565867Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanhshrink:0, line 1690 <- wrt source file 2025-12-04T09:46:33.8571664Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanhshrink:0 2025-12-04T09:46:33.8574869Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmin:0, line 1728 <- wrt source file 2025-12-04T09:46:33.8580268Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmin:0 2025-12-04T09:46:33.8583335Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax:0, line 1792 <- wrt source file 2025-12-04T09:46:33.8588506Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax:0 2025-12-04T09:46:33.8591581Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax2d:0, line 1839 <- wrt source file 2025-12-04T09:46:33.8597480Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax2d:0 2025-12-04T09:46:33.8600952Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSoftmax:0, line 1878 <- wrt source file 2025-12-04T09:46:33.8606411Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSoftmax:0 2025-12-04T09:46:33.8609578Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0, line 341 <- wrt source file 2025-12-04T09:46:33.8619847Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0 2025-12-04T09:46:33.8622874Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0, line 453 <- wrt source file 2025-12-04T09:46:33.8853132Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0 2025-12-04T09:46:33.8855850Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0, line 565 <- wrt source file 2025-12-04T09:46:34.1335046Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0 2025-12-04T09:46:34.1437814Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0, line 690 <- wrt source file 2025-12-04T09:46:34.1440234Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0 2025-12-04T09:46:34.1441889Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm.convert_sync_batchnorm:0, line 857 <- wrt source file 2025-12-04T09:46:34.1444029Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm.convert_sync_batchnorm:0 2025-12-04T09:46:34.1445714Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0, line 21 <- wrt source file 2025-12-04T09:46:34.1469238Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0 2025-12-04T09:46:34.1471193Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential:0, line 81 <- wrt source file 2025-12-04T09:46:34.1473108Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential:0 2025-12-04T09:46:34.1475055Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.append:0, line 263 <- wrt source file 2025-12-04T09:46:34.1482716Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.append:0 2025-12-04T09:46:34.1484721Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.insert:0, line 286 <- wrt source file 2025-12-04T09:46:34.1493222Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.insert:0 2025-12-04T09:46:34.1495209Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.extend:0, line 317 <- wrt source file 2025-12-04T09:46:34.1505952Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.extend:0 2025-12-04T09:46:34.1507820Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleList:0, line 346 <- wrt source file 2025-12-04T09:46:34.1509290Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleList:0 2025-12-04T09:46:34.1510743Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleDict:0, line 529 <- wrt source file 2025-12-04T09:46:34.1512212Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleDict:0 2025-12-04T09:46:34.1513676Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterList:0, line 661 <- wrt source file 2025-12-04T09:46:34.1515186Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterList:0 2025-12-04T09:46:34.1516731Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterDict:0, line 819 <- wrt source file 2025-12-04T09:46:34.1518249Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterDict:0 2025-12-04T09:46:34.1519747Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0, line 38 <- wrt source file 2025-12-04T09:46:34.1521287Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0 2025-12-04T09:46:34.1522776Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0, line 81 <- wrt source file 2025-12-04T09:46:34.1530169Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0 2025-12-04T09:46:34.1531603Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout:0, line 60 <- wrt source file 2025-12-04T09:46:34.1537271Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout:0 2025-12-04T09:46:34.1538663Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout1d:0, line 108 <- wrt source file 2025-12-04T09:46:34.1544954Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout1d:0 2025-12-04T09:46:34.1546349Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout2d:0, line 163 <- wrt source file 2025-12-04T09:46:34.1570987Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout2d:0 2025-12-04T09:46:34.1572809Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout3d:0, line 211 <- wrt source file 2025-12-04T09:46:34.1648717Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout3d:0 2025-12-04T09:46:34.1650837Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0, line 257 <- wrt source file 2025-12-04T09:46:34.1654700Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0 2025-12-04T09:46:34.1656650Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0, line 309 <- wrt source file 2025-12-04T09:46:34.1732062Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0 2025-12-04T09:46:34.1734211Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Flatten:0, line 29 <- wrt source file 2025-12-04T09:46:34.1740708Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Flatten:0 2025-12-04T09:46:34.1742503Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Unflatten:0, line 86 <- wrt source file 2025-12-04T09:46:34.1762538Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Unflatten:0 2025-12-04T09:46:34.1764282Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Fold:0, line 224 <- wrt source file 2025-12-04T09:46:34.1770369Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Fold:0 2025-12-04T09:46:34.1772067Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Unfold:0, line 395 <- wrt source file 2025-12-04T09:46:34.1789478Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Unfold:0 2025-12-04T09:46:34.1791371Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0, line 188 <- wrt source file 2025-12-04T09:46:34.1805439Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0 2025-12-04T09:46:34.1807455Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0, line 304 <- wrt source file 2025-12-04T09:46:34.2004020Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0 2025-12-04T09:46:34.2006414Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0, line 420 <- wrt source file 2025-12-04T09:46:34.4474494Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0 2025-12-04T09:46:34.4598386Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0, line 77 <- wrt source file 2025-12-04T09:46:34.4605160Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0 2025-12-04T09:46:34.4606555Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Identity:0, line 34 <- wrt source file 2025-12-04T09:46:34.4615352Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Identity:0 2025-12-04T09:46:34.4616926Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Linear:0, line 83 <- wrt source file 2025-12-04T09:46:34.4626677Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Linear:0 2025-12-04T09:46:34.4628115Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Bilinear:0, line 191 <- wrt source file 2025-12-04T09:46:34.4650876Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Bilinear:0 2025-12-04T09:46:34.4652244Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::L1Loss:0, line 116 <- wrt source file 2025-12-04T09:46:34.4661078Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::L1Loss:0 2025-12-04T09:46:34.4662419Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::NLLLoss:0, line 213 <- wrt source file 2025-12-04T09:46:34.4696664Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::NLLLoss:0 2025-12-04T09:46:34.4698505Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0, line 327 <- wrt source file 2025-12-04T09:46:34.4707343Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0 2025-12-04T09:46:34.4710357Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0, line 416 <- wrt source file 2025-12-04T09:46:34.4729983Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0 2025-12-04T09:46:34.4732879Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::KLDivLoss:0, line 531 <- wrt source file 2025-12-04T09:46:34.4743922Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::KLDivLoss:0 2025-12-04T09:46:34.4746944Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MSELoss:0, line 613 <- wrt source file 2025-12-04T09:46:34.4755511Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MSELoss:0 2025-12-04T09:46:34.4758461Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCELoss:0, line 696 <- wrt source file 2025-12-04T09:46:34.4767062Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCELoss:0 2025-12-04T09:46:34.4768906Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0, line 762 <- wrt source file 2025-12-04T09:46:34.4782876Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0 2025-12-04T09:46:34.4784793Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1, line 810 <- wrt source file 2025-12-04T09:46:34.4791725Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1 2025-12-04T09:46:34.4794194Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0, line 958 <- wrt source file 2025-12-04T09:46:34.4803800Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0 2025-12-04T09:46:34.4805734Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0, line 1284 <- wrt source file 2025-12-04T09:46:34.4816377Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0 2025-12-04T09:46:34.4818561Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1, line 1311 <- wrt source file 2025-12-04T09:46:34.4820801Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1 2025-12-04T09:46:34.4822745Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0, line 1464 <- wrt source file 2025-12-04T09:46:34.4834069Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0 2025-12-04T09:46:34.4837012Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0, line 1531 <- wrt source file 2025-12-04T09:46:34.4847678Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0 2025-12-04T09:46:34.4850392Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0, line 1612 <- wrt source file 2025-12-04T09:46:34.4860308Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0 2025-12-04T09:46:34.4863136Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0, line 1714 <- wrt source file 2025-12-04T09:46:34.4878596Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0 2025-12-04T09:46:34.4882163Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0, line 1827 <- wrt source file 2025-12-04T09:46:34.4907346Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0 2025-12-04T09:46:34.4909576Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CTCLoss:0, line 1959 <- wrt source file 2025-12-04T09:46:34.4940358Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CTCLoss:0 2025-12-04T09:46:34.4942269Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.register_buffer:0, line 554 <- wrt source file 2025-12-04T09:46:34.4944332Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.register_buffer:0 2025-12-04T09:46:34.4946259Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.apply:0, line 1048 <- wrt source file 2025-12-04T09:46:34.4960729Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.apply:0 2025-12-04T09:46:34.4962643Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.to:0, line 1299 <- wrt source file 2025-12-04T09:46:34.4971217Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.to:0 2025-12-04T09:46:34.4973245Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.state_dict:0, line 2232 <- wrt source file 2025-12-04T09:46:34.4975198Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.state_dict:0 2025-12-04T09:46:34.4977130Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.parameters:0, line 2678 <- wrt source file 2025-12-04T09:46:34.4979119Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.parameters:0 2025-12-04T09:46:34.4981117Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_parameters:0, line 2706 <- wrt source file 2025-12-04T09:46:34.4983180Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_parameters:0 2025-12-04T09:46:34.4985141Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.buffers:0, line 2733 <- wrt source file 2025-12-04T09:46:34.4987068Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.buffers:0 2025-12-04T09:46:34.4988550Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_buffers:0, line 2760 <- wrt source file 2025-12-04T09:46:34.4990082Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_buffers:0 2025-12-04T09:46:34.4991616Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_children:0, line 2791 <- wrt source file 2025-12-04T09:46:34.4993167Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_children:0 2025-12-04T09:46:34.4994662Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.modules:0, line 2815 <- wrt source file 2025-12-04T09:46:34.4996207Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.modules:0 2025-12-04T09:46:34.4997679Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_modules:0, line 2853 <- wrt source file 2025-12-04T09:46:34.4999224Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_modules:0 2025-12-04T09:46:34.5001010Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0, line 38 <- wrt source file 2025-12-04T09:46:34.5029848Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0 2025-12-04T09:46:34.5032565Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LayerNorm:0, line 163 <- wrt source file 2025-12-04T09:46:34.5042810Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LayerNorm:0 2025-12-04T09:46:34.5045027Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::GroupNorm:0, line 274 <- wrt source file 2025-12-04T09:46:34.5053405Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::GroupNorm:0 2025-12-04T09:46:34.5061727Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::RMSNorm:0, line 369 <- wrt source file 2025-12-04T09:46:34.5063657Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::RMSNorm:0 2025-12-04T09:46:34.5065665Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad1d:0, line 70 <- wrt source file 2025-12-04T09:46:34.5070460Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad1d:0 2025-12-04T09:46:34.5072360Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad2d:0, line 123 <- wrt source file 2025-12-04T09:46:34.5099107Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad2d:0 2025-12-04T09:46:34.5100895Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad3d:0, line 189 <- wrt source file 2025-12-04T09:46:35.1117978Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad3d:0 2025-12-04T09:46:35.1345135Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0, line 244 <- wrt source file 2025-12-04T09:46:35.1358145Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0 2025-12-04T09:46:35.1359614Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0, line 298 <- wrt source file 2025-12-04T09:46:35.1366851Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0 2025-12-04T09:46:35.1368303Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0, line 355 <- wrt source file 2025-12-04T09:46:35.1392513Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0 2025-12-04T09:46:35.1394444Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0, line 401 <- wrt source file 2025-12-04T09:46:35.1402523Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0 2025-12-04T09:46:35.1404442Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0, line 446 <- wrt source file 2025-12-04T09:46:35.1411403Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0 2025-12-04T09:46:35.1413343Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0, line 505 <- wrt source file 2025-12-04T09:46:35.1417048Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0 2025-12-04T09:46:35.1418997Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0, line 565 <- wrt source file 2025-12-04T09:46:35.1425406Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0 2025-12-04T09:46:35.1427363Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0, line 610 <- wrt source file 2025-12-04T09:46:35.1433983Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0 2025-12-04T09:46:35.1436305Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0, line 669 <- wrt source file 2025-12-04T09:46:35.6409552Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0 2025-12-04T09:46:35.6633804Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0, line 704 <- wrt source file 2025-12-04T09:46:35.6646989Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0 2025-12-04T09:46:35.6648398Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0, line 762 <- wrt source file 2025-12-04T09:46:35.6655364Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0 2025-12-04T09:46:35.6656770Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0, line 824 <- wrt source file 2025-12-04T09:46:35.6681343Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0 2025-12-04T09:46:35.6683288Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0, line 40 <- wrt source file 2025-12-04T09:46:35.6689314Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0 2025-12-04T09:46:35.6691326Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0, line 99 <- wrt source file 2025-12-04T09:46:35.6697302Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0 2025-12-04T09:46:35.6699216Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0, line 129 <- wrt source file 2025-12-04T09:46:35.6705543Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0 2025-12-04T09:46:35.6707368Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0, line 207 <- wrt source file 2025-12-04T09:46:35.6751839Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0 2025-12-04T09:46:35.6753683Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0, line 291 <- wrt source file 2025-12-04T09:46:35.8718995Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0 2025-12-04T09:46:35.8753872Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0, line 366 <- wrt source file 2025-12-04T09:46:35.8769617Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0 2025-12-04T09:46:35.8771490Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0, line 452 <- wrt source file 2025-12-04T09:46:35.8795557Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0 2025-12-04T09:46:35.8797417Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0, line 550 <- wrt source file 2025-12-04T09:46:35.9498576Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0 2025-12-04T09:46:35.9500667Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0, line 642 <- wrt source file 2025-12-04T09:46:35.9511183Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0 2025-12-04T09:46:35.9513008Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0, line 738 <- wrt source file 2025-12-04T09:46:35.9550561Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0 2025-12-04T09:46:35.9552387Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0, line 855 <- wrt source file 2025-12-04T09:46:36.1262022Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0 2025-12-04T09:46:36.1297585Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0, line 946 <- wrt source file 2025-12-04T09:46:36.1345708Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0 2025-12-04T09:46:36.1347747Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0, line 1033 <- wrt source file 2025-12-04T09:46:36.1951082Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0 2025-12-04T09:46:36.1953041Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool1d:0, line 1156 <- wrt source file 2025-12-04T09:46:36.1961920Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool1d:0 2025-12-04T09:46:36.1963724Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool2d:0, line 1212 <- wrt source file 2025-12-04T09:46:36.2012090Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool2d:0 2025-12-04T09:46:36.2014438Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool3d:0, line 1276 <- wrt source file 2025-12-04T09:46:36.4032205Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool3d:0 2025-12-04T09:46:36.4067758Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0, line 1332 <- wrt source file 2025-12-04T09:46:36.4076641Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0 2025-12-04T09:46:36.4078625Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0, line 1367 <- wrt source file 2025-12-04T09:46:36.4090025Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0 2025-12-04T09:46:36.4092076Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0, line 1411 <- wrt source file 2025-12-04T09:46:36.4116705Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0 2025-12-04T09:46:36.4118698Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0, line 1459 <- wrt source file 2025-12-04T09:46:36.4123554Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0 2025-12-04T09:46:36.4125547Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0, line 1493 <- wrt source file 2025-12-04T09:46:36.4135534Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0 2025-12-04T09:46:36.4137537Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0, line 1533 <- wrt source file 2025-12-04T09:46:36.4158324Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0 2025-12-04T09:46:36.4160119Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNN:0, line 598 <- wrt source file 2025-12-04T09:46:36.4173065Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNN:0 2025-12-04T09:46:36.4174746Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTM:0, line 963 <- wrt source file 2025-12-04T09:46:36.4695814Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTM:0 2025-12-04T09:46:36.4697530Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRU:0, line 1305 <- wrt source file 2025-12-04T09:46:36.4719510Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRU:0 2025-12-04T09:46:36.4721212Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNNCell:0, line 1561 <- wrt source file 2025-12-04T09:46:36.4733989Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNNCell:0 2025-12-04T09:46:36.4735713Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTMCell:0, line 1683 <- wrt source file 2025-12-04T09:46:36.4748184Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTMCell:0 2025-12-04T09:46:36.4749532Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRUCell:0, line 1797 <- wrt source file 2025-12-04T09:46:36.4765610Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRUCell:0 2025-12-04T09:46:36.4766974Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding:0, line 71 <- wrt source file 2025-12-04T09:46:36.4784263Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding:0 2025-12-04T09:46:36.4785757Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0, line 243 <- wrt source file 2025-12-04T09:46:36.4791931Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0 2025-12-04T09:46:36.4793451Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0, line 324 <- wrt source file 2025-12-04T09:46:36.4812451Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0 2025-12-04T09:46:36.4814439Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0, line 523 <- wrt source file 2025-12-04T09:46:36.4821528Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0 2025-12-04T09:46:36.4823546Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer:0, line 91 <- wrt source file 2025-12-04T09:46:37.3496404Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer:0 2025-12-04T09:46:37.3581324Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0, line 267 <- wrt source file 2025-12-04T09:46:37.3583130Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0 2025-12-04T09:46:37.3584734Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0, line 345 <- wrt source file 2025-12-04T09:46:37.4764734Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0 2025-12-04T09:46:37.4769928Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0, line 578 <- wrt source file 2025-12-04T09:46:37.7247501Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0 2025-12-04T09:46:37.7255581Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0, line 702 <- wrt source file 2025-12-04T09:46:37.7587552Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0 2025-12-04T09:46:37.7589970Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0, line 1014 <- wrt source file 2025-12-04T09:46:37.8194629Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0 2025-12-04T09:46:37.8196971Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::Upsample:0, line 77 <- wrt source file 2025-12-04T09:46:37.8232372Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::Upsample:0 2025-12-04T09:46:37.8234387Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0, line 229 <- wrt source file 2025-12-04T09:46:37.8249909Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0 2025-12-04T09:46:37.8251523Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0, line 279 <- wrt source file 2025-12-04T09:46:37.8261276Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0 2025-12-04T09:46:37.8263070Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0, line 128 <- wrt source file 2025-12-04T09:46:37.8264814Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0 2025-12-04T09:46:37.8266658Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0, line 644 <- wrt source file 2025-12-04T09:46:37.8268465Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0 2025-12-04T09:46:37.8270198Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0, line 1451 <- wrt source file 2025-12-04T09:46:37.8272016Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0 2025-12-04T09:46:37.8274092Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.join:0, line 1838 <- wrt source file 2025-12-04T09:46:37.8275975Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.join:0 2025-12-04T09:46:37.8277955Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0, line 2004 <- wrt source file 2025-12-04T09:46:37.8279878Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0 2025-12-04T09:46:37.8281783Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1, line 2014 <- wrt source file 2025-12-04T09:46:37.8283725Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1 2025-12-04T09:46:37.8285918Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0, line 2049 <- wrt source file 2025-12-04T09:46:37.8288172Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0 2025-12-04T09:46:37.8290276Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_fused_optim:0, line 2107 <- wrt source file 2025-12-04T09:46:37.8292237Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_fused_optim:0 2025-12-04T09:46:37.8293992Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0, line 35 <- wrt source file 2025-12-04T09:46:37.8295643Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0 2025-12-04T09:46:37.8297127Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/init.py::skip_init:0, line 33 <- wrt source file 2025-12-04T09:46:37.8298460Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/init.py::skip_init:0 2025-12-04T09:46:37.8300066Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv2d_weight_memory_format:0, line 64 <- wrt source file 2025-12-04T09:46:37.8302121Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv2d_weight_memory_format:0 2025-12-04T09:46:37.8304079Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv3d_weight_memory_format:0, line 143 <- wrt source file 2025-12-04T09:46:37.8306020Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv3d_weight_memory_format:0 2025-12-04T09:46:37.8307885Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0, line 267 <- wrt source file 2025-12-04T09:46:37.8309448Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0 2025-12-04T09:46:37.8310964Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0, line 362 <- wrt source file 2025-12-04T09:46:37.8312527Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0 2025-12-04T09:46:37.8314217Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0, line 593 <- wrt source file 2025-12-04T09:46:37.8315994Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0 2025-12-04T09:46:37.8317431Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::identity:0, line 852 <- wrt source file 2025-12-04T09:46:37.8318788Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::identity:0 2025-12-04T09:46:37.8320177Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_unstructured:0, line 888 <- wrt source file 2025-12-04T09:46:37.8321669Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_unstructured:0 2025-12-04T09:46:37.8323268Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::l1_unstructured:0, line 931 <- wrt source file 2025-12-04T09:46:37.8324710Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::l1_unstructured:0 2025-12-04T09:46:37.8326133Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_structured:0, line 971 <- wrt source file 2025-12-04T09:46:37.8327571Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_structured:0 2025-12-04T09:46:37.8328980Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::ln_structured:0, line 1017 <- wrt source file 2025-12-04T09:46:37.8330391Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::ln_structured:0 2025-12-04T09:46:37.8331817Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::global_unstructured:0, line 1072 <- wrt source file 2025-12-04T09:46:37.8344599Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::global_unstructured:0 2025-12-04T09:46:37.8346059Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::custom_from_mask:0, line 1175 <- wrt source file 2025-12-04T09:46:37.8356796Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::custom_from_mask:0 2025-12-04T09:46:37.8358172Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::remove:0, line 1203 <- wrt source file 2025-12-04T09:46:37.8365140Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::remove:0 2025-12-04T09:46:37.8366465Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::is_pruned:0, line 1231 <- wrt source file 2025-12-04T09:46:37.8376232Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::is_pruned:0 2025-12-04T09:46:37.8377629Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0, line 359 <- wrt source file 2025-12-04T09:46:37.8396679Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0 2025-12-04T09:46:37.8398059Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_sequence:0, line 439 <- wrt source file 2025-12-04T09:46:37.8404482Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_sequence:0 2025-12-04T09:46:37.8405841Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0, line 500 <- wrt source file 2025-12-04T09:46:37.8422388Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0 2025-12-04T09:46:37.8432974Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pack_sequence:0, line 556 <- wrt source file 2025-12-04T09:46:37.8434754Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pack_sequence:0 2025-12-04T09:46:37.8436597Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0, line 584 <- wrt source file 2025-12-04T09:46:37.8456610Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0 2025-12-04T09:46:37.8458487Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0, line 314 <- wrt source file 2025-12-04T09:46:37.8466087Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0 2025-12-04T09:46:37.8467610Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0, line 347 <- wrt source file 2025-12-04T09:46:37.8475156Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0 2025-12-04T09:46:37.8476753Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/stateless.py::functional_call:0, line 193 <- wrt source file 2025-12-04T09:46:37.8481077Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/stateless.py::functional_call:0 2025-12-04T09:46:37.8482515Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0, line 134 <- wrt source file 2025-12-04T09:46:37.8490710Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0 2025-12-04T09:46:37.8492627Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0, line 156 <- wrt source file 2025-12-04T09:46:37.8497957Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0 2025-12-04T09:46:37.8499982Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0, line 315 <- wrt source file 2025-12-04T09:46:37.8502265Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0 2025-12-04T09:46:37.8504613Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py::sum_over_all_but_batch_and_last_n:0, line 178 <- wrt source file 2025-12-04T09:46:37.8507265Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py::sum_over_all_but_batch_and_last_n:0 2025-12-04T09:46:37.8509433Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0, line 357 <- wrt source file 2025-12-04T09:46:37.8511250Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0 2025-12-04T09:46:37.8513104Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0, line 483 <- wrt source file 2025-12-04T09:46:37.8515079Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0 2025-12-04T09:46:37.8517204Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::StepLR:0, line 608 <- wrt source file 2025-12-04T09:46:37.8518997Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::StepLR:0 2025-12-04T09:46:37.8520913Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0, line 695 <- wrt source file 2025-12-04T09:46:37.8522772Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0 2025-12-04T09:46:37.8524589Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0, line 791 <- wrt source file 2025-12-04T09:46:37.8526438Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0 2025-12-04T09:46:37.8528239Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LinearLR:0, line 898 <- wrt source file 2025-12-04T09:46:37.8530030Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LinearLR:0 2025-12-04T09:46:37.8531870Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0, line 1020 <- wrt source file 2025-12-04T09:46:37.8533782Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0 2025-12-04T09:46:37.8535653Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0, line 1097 <- wrt source file 2025-12-04T09:46:37.8537532Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0 2025-12-04T09:46:37.8539396Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0, line 1249 <- wrt source file 2025-12-04T09:46:37.8541287Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0 2025-12-04T09:46:37.8543206Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0, line 1378 <- wrt source file 2025-12-04T09:46:37.8545178Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0 2025-12-04T09:46:37.8547114Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0, line 1490 <- wrt source file 2025-12-04T09:46:37.8548726Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0 2025-12-04T09:46:37.8550157Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0, line 1863 <- wrt source file 2025-12-04T09:46:37.8551574Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0 2025-12-04T09:46:37.8553088Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0, line 2129 <- wrt source file 2025-12-04T09:46:37.8554754Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0 2025-12-04T09:46:37.8556499Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0, line 2211 <- wrt source file 2025-12-04T09:46:37.8558226Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0 2025-12-04T09:46:37.8560014Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1, line 2227 <- wrt source file 2025-12-04T09:46:37.8561797Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1 2025-12-04T09:46:37.8563345Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0, line 2367 <- wrt source file 2025-12-04T09:46:37.8564773Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0 2025-12-04T09:46:37.8566247Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/optimizer.py::Optimizer.load_state_dict:0, line 900 <- wrt source file 2025-12-04T09:46:37.8567820Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/optimizer.py::Optimizer.load_state_dict:0 2025-12-04T09:46:37.8569296Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:0, line 155 <- wrt source file 2025-12-04T09:46:37.8570721Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:0 2025-12-04T09:46:37.8572107Z * DOCTEST : 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SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0 2025-12-04T09:46:37.8592539Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_comparison.py::assert_close:0, line 1477 <- wrt source file 2025-12-04T09:46:37.8600094Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_comparison.py::assert_close:0 2025-12-04T09:46:37.8601795Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_creation.py::make_tensor:0, line 114 <- wrt source file 2025-12-04T09:46:37.8603306Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_creation.py::make_tensor:0 2025-12-04T09:46:37.8604793Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::parametrize:0, line 648 <- wrt source file 2025-12-04T09:46:37.8606364Z * SKIPPED: 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DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0, line 359 <- wrt source file 2025-12-04T09:46:37.8655348Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0 2025-12-04T09:46:37.8656743Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0, line 396 <- wrt source file 2025-12-04T09:46:37.8661049Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0 2025-12-04T09:46:37.8662426Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0, line 429 <- wrt source file 2025-12-04T09:46:37.8668883Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0 2025-12-04T09:46:37.8670248Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0, line 464 <- wrt source file 2025-12-04T09:46:37.8675022Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0 2025-12-04T09:46:37.8676476Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0, line 499 <- wrt source file 2025-12-04T09:46:37.8681518Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0 2025-12-04T09:46:37.8682878Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_map:0, line 536 <- wrt source file 2025-12-04T09:46:37.8689311Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_map:0 2025-12-04T09:46:37.8690707Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0, line 929 <- wrt source file 2025-12-04T09:46:37.8700765Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0 2025-12-04T09:46:37.8702203Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_dataclass:0, line 308 <- wrt source file 2025-12-04T09:46:37.8714695Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_dataclass:0 2025-12-04T09:46:37.8716175Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_constant:0, line 428 <- wrt source file 2025-12-04T09:46:37.8726736Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_constant:0 2025-12-04T09:46:37.8728107Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_is_leaf:0, line 1058 <- wrt source file 2025-12-04T09:46:37.8734536Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_is_leaf:0 2025-12-04T09:46:37.8736000Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_map:0, line 1497 <- wrt source file 2025-12-04T09:46:37.8742742Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_map:0 2025-12-04T09:46:37.8744260Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0, line 71 <- wrt source file 2025-12-04T09:46:37.8745981Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0 2025-12-04T09:46:37.8747743Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0, line 382 <- wrt source file 2025-12-04T09:46:37.8749628Z * SKIPPED: 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SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0 2025-12-04T09:46:37.8760917Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0, line 1257 <- wrt source file 2025-12-04T09:46:37.8762559Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0 2025-12-04T09:46:37.8764222Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::create_selective_checkpoint_contexts:0, line 1421 <- wrt source file 2025-12-04T09:46:37.8767448Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::create_selective_checkpoint_contexts:0 2025-12-04T09:46:37.8769254Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CppExtension:0, line 1247 <- wrt source file 2025-12-04T09:46:37.8770868Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CppExtension:0 2025-12-04T09:46:37.8772513Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0, line 1319 <- wrt source file 2025-12-04T09:46:37.8774093Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0 2025-12-04T09:46:37.8775556Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1, line 1397 <- wrt source file 2025-12-04T09:46:37.8777042Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1 2025-12-04T09:46:37.8778497Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::SyclExtension:0, line 1509 <- wrt source file 2025-12-04T09:46:37.8780078Z * SKIPPED: 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2025-12-04T09:46:37.8796699Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0, line 78 <- wrt source file 2025-12-04T09:46:37.8798380Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0 2025-12-04T09:46:37.8800041Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0, line 742 <- wrt source file 2025-12-04T09:46:37.9365451Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0 2025-12-04T09:46:37.9367079Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::IterableDataset:0, line 94 <- wrt source file 2025-12-04T09:46:37.9374158Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::IterableDataset:0 2025-12-04T09:46:37.9375798Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::StackDataset:0, line 218 <- wrt source file 2025-12-04T09:46:37.9377369Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::StackDataset:0 2025-12-04T09:46:37.9378800Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::random_split:0, line 438 <- wrt source file 2025-12-04T09:46:37.9380260Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::random_split:0 2025-12-04T09:46:37.9381781Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/distributed.py::DistributedSampler:0, line 55 <- wrt source file 2025-12-04T09:46:37.9383396Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/distributed.py::DistributedSampler:0 2025-12-04T09:46:37.9384852Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::Sampler:0, line 36 <- wrt source file 2025-12-04T09:46:37.9386393Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::Sampler:0 2025-12-04T09:46:37.9387873Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0, line 225 <- wrt source file 2025-12-04T09:46:37.9389475Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0 2025-12-04T09:46:37.9391134Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::BatchSampler:0, line 296 <- wrt source file 2025-12-04T09:46:37.9394222Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::BatchSampler:0 2025-12-04T09:46:37.9395900Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_convert:0, line 39 <- wrt source file 2025-12-04T09:46:37.9398619Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_convert:0 2025-12-04T09:46:37.9400113Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::collate:0, line 137 <- wrt source file 2025-12-04T09:46:37.9405254Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::collate:0 2025-12-04T09:46:37.9406758Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_collate:0, line 367 <- wrt source file 2025-12-04T09:46:37.9412242Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_collate:0 2025-12-04T09:46:37.9413833Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0, line 97 <- wrt source file 2025-12-04T09:46:37.9416209Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0 2025-12-04T09:46:37.9417853Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0, line 269 <- wrt source file 2025-12-04T09:46:37.9419567Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0 2025-12-04T09:46:37.9421339Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0, line 53 <- wrt source file 2025-12-04T09:46:37.9423139Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0 2025-12-04T09:46:37.9424906Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0, line 202 <- wrt source file 2025-12-04T09:46:37.9430932Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0 2025-12-04T09:46:37.9432934Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0, line 90 <- wrt source file 2025-12-04T09:46:37.9434854Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0 2025-12-04T09:46:37.9436778Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0, line 38 <- wrt source file 2025-12-04T09:46:37.9462064Z * SKIPPED: 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source file 2025-12-04T09:46:37.9474019Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::DemultiplexerIterDataPipe:0 2025-12-04T09:46:37.9476045Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0, line 615 <- wrt source file 2025-12-04T09:46:37.9477945Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0 2025-12-04T09:46:37.9479759Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0, line 685 <- wrt source file 2025-12-04T09:46:37.9481649Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0 2025-12-04T09:46:37.9483565Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0, line 29 <- wrt source file 2025-12-04T09:46:37.9485630Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0 2025-12-04T09:46:37.9487571Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0, line 33 <- wrt source file 2025-12-04T09:46:37.9489556Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0 2025-12-04T09:46:37.9491585Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0, line 41 <- wrt source file 2025-12-04T09:46:37.9493593Z * SKIPPED: 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source file 2025-12-04T09:46:37.9504719Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0 2025-12-04T09:46:37.9506561Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0, line 24 <- wrt source file 2025-12-04T09:46:37.9508483Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0 2025-12-04T09:46:37.9510483Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0, line 29 <- wrt source file 2025-12-04T09:46:37.9512453Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0 2025-12-04T09:46:37.9514233Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0, line 36 <- wrt source file 2025-12-04T09:46:37.9516064Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0 2025-12-04T09:46:37.9517855Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0, line 34 <- wrt source file 2025-12-04T09:46:37.9519739Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0 2025-12-04T09:46:37.9521538Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0, line 29 <- wrt source file 2025-12-04T09:46:37.9523353Z * SKIPPED: 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file 2025-12-04T09:46:37.9542368Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0 2025-12-04T09:46:37.9544130Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0, line 37 <- wrt source file 2025-12-04T09:46:37.9545870Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0 2025-12-04T09:46:37.9547584Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0, line 47 <- wrt source file 2025-12-04T09:46:37.9549301Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0 2025-12-04T09:46:37.9550935Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0, line 439 <- wrt source file 2025-12-04T09:46:38.6207230Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0 2025-12-04T09:46:38.6209152Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0, line 535 <- wrt source file 2025-12-04T09:46:38.6211139Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0 2025-12-04T09:46:38.6213246Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0, line 217 <- wrt source file 2025-12-04T09:46:38.6215337Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0 2025-12-04T09:46:38.6217171Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0, line 322 <- wrt source file 2025-12-04T09:46:38.6219123Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0 2025-12-04T09:46:38.6220933Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0, line 370 <- wrt source file 2025-12-04T09:46:38.6222836Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0 2025-12-04T09:46:38.6224755Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0, line 402 <- wrt source file 2025-12-04T09:46:38.6226702Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0 2025-12-04T09:46:38.6228469Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0, line 450 <- wrt source file 2025-12-04T09:46:38.6230259Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0 2025-12-04T09:46:38.6231949Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0, line 489 <- wrt source file 2025-12-04T09:46:38.6233828Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0 2025-12-04T09:46:38.6235729Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0, line 542 <- wrt source file 2025-12-04T09:46:38.6237887Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0 2025-12-04T09:46:38.6240390Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0, line 608 <- wrt source file 2025-12-04T09:46:38.6242565Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0 2025-12-04T09:46:38.6245435Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0, line 657 <- wrt source file 2025-12-04T09:46:38.6248403Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0 2025-12-04T09:46:38.6250760Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0, line 820 <- wrt source file 2025-12-04T09:46:38.6253064Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0 2025-12-04T09:46:38.6255687Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0, line 887 <- wrt source file 2025-12-04T09:46:38.6257457Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0 2025-12-04T09:46:38.6259501Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0, line 998 <- wrt source file 2025-12-04T09:46:38.6261423Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0 2025-12-04T09:46:38.6263451Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0, line 1072 <- wrt source file 2025-12-04T09:46:38.6265510Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0 2025-12-04T09:46:38.6267564Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0, line 1093 <- wrt source file 2025-12-04T09:46:38.6269513Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0 2025-12-04T09:46:38.6271360Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0, line 1118 <- wrt source file 2025-12-04T09:46:38.6273162Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0 2025-12-04T09:46:38.6274872Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0, line 1164 <- wrt source file 2025-12-04T09:46:38.6276641Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0 2025-12-04T09:46:38.6277515Z ============ 2025-12-04T09:46:38.6277829Z Finished doctests 2025-12-04T09:46:38.6278081Z 378 / 894 passed 2025-12-04T09:46:38.6278352Z  2025-12-04T09:46:38.6278690Z === Found 17 parse-time warnings === 2025-12-04T09:46:38.6279175Z --- Parse Warning: 1 / 17 --- 2025-12-04T09:46:38.6280428Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=368. 2025-12-04T09:46:38.6281835Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:46:38.6282537Z Registers the function implementation as the fallback for the given key. 2025-12-04T09:46:38.6283028Z 2025-12-04T09:46:38.6283408Z This function only works for a library with global namespace ("_"). 2025-12-04T09:46:38.6283890Z 2025-12-04T09:46:38.6284109Z Args: 2025-12-04T09:46:38.6284583Z fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel` 2025-12-04T09:46:38.6285177Z to register a fallthrough. 2025-12-04T09:46:38.6285814Z dispatch_key: dispatch key that the input function should be registered for. By default, it uses 2025-12-04T09:46:38.6286499Z the dispatch key that the library was created with. 2025-12-04T09:46:38.6287255Z with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument 2025-12-04T09:46:38.6288195Z to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls. 2025-12-04T09:46:38.6288796Z 2025-12-04T09:46:38.6289012Z Example:: 2025-12-04T09:46:38.6289276Z 2025-12-04T09:46:38.6289528Z >>> my_lib = Library("_", "IMPL") 2025-12-04T09:46:38.6289930Z >>> def fallback_kernel(op, *args, **kwargs): 2025-12-04T09:46:38.6290471Z >>> # Handle all autocast ops generically 2025-12-04T09:46:38.6290857Z >>> # ... 2025-12-04T09:46:38.6291209Z >>> my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T09:46:38.6291675Z 2025-12-04T09:46:38.6292555Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7)) 2025-12-04T09:46:38.6293498Z 2025-12-04T09:46:38.6293759Z my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T09:46:38.6294132Z ^ 2025-12-04T09:46:38.6294374Z warnings.warn(msg) 2025-12-04T09:46:38.6294638Z 2025-12-04T09:46:38.6294978Z --- Parse Warning: 2 / 17 --- 2025-12-04T09:46:38.6296219Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=958. 2025-12-04T09:46:38.6297611Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:46:38.6298282Z Register a FakeTensor implementation ("fake impl") for this operator. 2025-12-04T09:46:38.6298781Z 2025-12-04T09:46:38.6299109Z Also sometimes known as a "meta kernel", "abstract impl". 2025-12-04T09:46:38.6299522Z 2025-12-04T09:46:38.6299932Z An "FakeTensor implementation" specifies the behavior of this operator on 2025-12-04T09:46:38.6300801Z Tensors that carry no data ("FakeTensor"). Given some input Tensors with 2025-12-04T09:46:38.6301451Z certain properties (sizes/strides/storage_offset/device), it specifies 2025-12-04T09:46:38.6302026Z what the properties of the output Tensors are. 2025-12-04T09:46:38.6302412Z 2025-12-04T09:46:38.6302801Z The FakeTensor implementation has the same signature as the operator. 2025-12-04T09:46:38.6303432Z It is run for both FakeTensors and meta tensors. To write a FakeTensor 2025-12-04T09:46:38.6304064Z implementation, assume that all Tensor inputs to the operator are 2025-12-04T09:46:38.6304685Z regular CPU/CUDA/Meta tensors, but they do not have storage, and 2025-12-04T09:46:38.6305281Z you are trying to return regular CPU/CUDA/Meta tensor(s) as output. 2025-12-04T09:46:38.6305917Z The FakeTensor implementation must consist of only PyTorch operations 2025-12-04T09:46:38.6306539Z (and may not directly access the storage or data of any input or 2025-12-04T09:46:38.6307011Z intermediate Tensors). 2025-12-04T09:46:38.6307303Z 2025-12-04T09:46:38.6307607Z This API may be used as a decorator (see examples). 2025-12-04T09:46:38.6308008Z 2025-12-04T09:46:38.6308281Z For a detailed guide on custom ops, please see 2025-12-04T09:46:38.6308858Z https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html 2025-12-04T09:46:38.6309351Z 2025-12-04T09:46:38.6309554Z Args: 2025-12-04T09:46:38.6309960Z op_name: Operator name (along with the overload) or OpOverload object. 2025-12-04T09:46:38.6310492Z func: Fake tensor implementation. 2025-12-04T09:46:38.6310977Z lib (Optional[Library]): Library to register the fake tensor to. 2025-12-04T09:46:38.6311552Z allow_override: Flag controlling if we want to override an 2025-12-04T09:46:38.6312197Z existing registered fake impl. This is by default off, 2025-12-04T09:46:38.6312741Z and will error you're trying to register a fake impl to 2025-12-04T09:46:38.6313274Z an operator that already has a fake impl. This also only 2025-12-04T09:46:38.6313803Z applies if the custom operator was not created via 2025-12-04T09:46:38.6314345Z torch.library.custom_op, as overriding and existing fake 2025-12-04T09:46:38.6314825Z impl is already allowed. 2025-12-04T09:46:38.6315425Z 2025-12-04T09:46:38.6315661Z Examples: 2025-12-04T09:46:38.6315935Z >>> import torch 2025-12-04T09:46:38.6316336Z >>> import numpy as np 2025-12-04T09:46:38.6316683Z >>> from torch import Tensor 2025-12-04T09:46:38.6317026Z >>> 2025-12-04T09:46:38.6317382Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T09:46:38.6317990Z >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=()) 2025-12-04T09:46:38.6318625Z >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T09:46:38.6319208Z >>> raise NotImplementedError("Implementation goes here") 2025-12-04T09:46:38.6319643Z >>> 2025-12-04T09:46:38.6319988Z >>> @torch.library.register_fake("mylib::custom_linear") 2025-12-04T09:46:38.6320431Z >>> def _(x, weight, bias): 2025-12-04T09:46:38.6320771Z >>> assert x.dim() == 2 2025-12-04T09:46:38.6321139Z >>> assert weight.dim() == 2 2025-12-04T09:46:38.6321512Z >>> assert bias.dim() == 1 2025-12-04T09:46:38.6321893Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T09:46:38.6322316Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T09:46:38.6322738Z >>> assert x.device == weight.device 2025-12-04T09:46:38.6323086Z >>> 2025-12-04T09:46:38.6323368Z >>> return (x @ weight.t()) + bias 2025-12-04T09:46:38.6323719Z >>> 2025-12-04T09:46:38.6324065Z >>> with torch._subclasses.fake_tensor.FakeTensorMode(): 2025-12-04T09:46:38.6324503Z >>> x = torch.randn(2, 3) 2025-12-04T09:46:38.6324863Z >>> w = torch.randn(3, 3) 2025-12-04T09:46:38.6325219Z >>> b = torch.randn(3) 2025-12-04T09:46:38.6325596Z >>> y = torch.ops.mylib.custom_linear(x, w, b) 2025-12-04T09:46:38.6325978Z >>> 2025-12-04T09:46:38.6326251Z >>> assert y.shape == (2, 3) 2025-12-04T09:46:38.6326572Z >>> 2025-12-04T09:46:38.6326924Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T09:46:38.6327515Z >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=()) 2025-12-04T09:46:38.6328055Z >>> def custom_nonzero(x: Tensor) -> Tensor: 2025-12-04T09:46:38.6328448Z >>> x_np = x.numpy(force=True) 2025-12-04T09:46:38.6328862Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T09:46:38.6329301Z >>> return torch.tensor(res, device=x.device) 2025-12-04T09:46:38.6329666Z >>> 2025-12-04T09:46:38.6330067Z >>> @torch.library.register_fake("mylib::custom_nonzero") 2025-12-04T09:46:38.6330532Z >>> def _(x): 2025-12-04T09:46:38.6330878Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T09:46:38.6331361Z >>> # Since we cannot peek at the data in an fake impl, 2025-12-04T09:46:38.6331850Z >>> # we use the ctx object to construct a new symint that 2025-12-04T09:46:38.6332314Z >>> # represents the data-dependent size. 2025-12-04T09:46:38.6332710Z >>> ctx = torch.library.get_ctx() 2025-12-04T09:46:38.6333101Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T09:46:38.6333477Z >>> shape = [nnz, x.dim()] 2025-12-04T09:46:38.6333947Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T09:46:38.6334362Z >>> return result 2025-12-04T09:46:38.6334673Z >>> 2025-12-04T09:46:38.6335017Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2025-12-04T09:46:38.6335450Z >>> 2025-12-04T09:46:38.6335731Z >>> x = torch.tensor([0, 1, 2, 3, 4, 0]) 2025-12-04T09:46:38.6336275Z >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x) 2025-12-04T09:46:38.6336898Z >>> trace.print_readable() 2025-12-04T09:46:38.6337238Z >>> 2025-12-04T09:46:38.6337645Z >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x)) 2025-12-04T09:46:38.6338209Z 2025-12-04T09:46:38.6338430Z 2025-12-04T09:46:38.6339174Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('', 38, 1, '_._ = None\n', 38, 2)) 2025-12-04T09:46:38.6339993Z 2025-12-04T09:46:38.6340211Z _._ = None 2025-12-04T09:46:38.6340452Z ^ 2025-12-04T09:46:38.6340678Z warnings.warn(msg) 2025-12-04T09:46:38.6340963Z 2025-12-04T09:46:38.6341369Z --- Parse Warning: 3 / 17 --- 2025-12-04T09:46:38.6342617Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=get_kernel in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=1530. 2025-12-04T09:46:38.6343986Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:46:38.6344651Z Returns the computed kernel for a given operator and dispatch key. 2025-12-04T09:46:38.6345125Z 2025-12-04T09:46:38.6345495Z This function retrieves the kernel that would be executed for a given 2025-12-04T09:46:38.6346159Z operator and dispatch key combination. The returned SafeKernelFunction 2025-12-04T09:46:38.6346784Z can be used to call the kernel in a boxed fashion. The intended use 2025-12-04T09:46:38.6347378Z case for this function is to retrieve the original kernel for a given 2025-12-04T09:46:38.6347998Z dispatch key and then register another kernel to the same dispatch key 2025-12-04T09:46:38.6348575Z that calls into the original kernel for certain cases. 2025-12-04T09:46:38.6348983Z 2025-12-04T09:46:38.6349190Z Args: 2025-12-04T09:46:38.6349562Z op: Operator name (along with the overload) or OpOverload object 2025-12-04T09:46:38.6350194Z Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef. 2025-12-04T09:46:38.6350891Z dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for. 2025-12-04T09:46:38.6351539Z Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value. 2025-12-04T09:46:38.6351988Z 2025-12-04T09:46:38.6352213Z Returns: 2025-12-04T09:46:38.6352631Z torch._C._SafeKernelFunction: A safe kernel function that can be used to 2025-12-04T09:46:38.6353153Z call the kernel. 2025-12-04T09:46:38.6353460Z 2025-12-04T09:46:38.6353665Z Raises: 2025-12-04T09:46:38.6353983Z RuntimeError: If the operator does not exist. 2025-12-04T09:46:38.6354367Z 2025-12-04T09:46:38.6354587Z Example: 2025-12-04T09:46:38.6354868Z >>> # Get the CPU kernel for torch.add 2025-12-04T09:46:38.6355438Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU") 2025-12-04T09:46:38.6355902Z >>> 2025-12-04T09:46:38.6356181Z >>> # You can also use DispatchKey enum 2025-12-04T09:46:38.6356761Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU) 2025-12-04T09:46:38.6357295Z >>> 2025-12-04T09:46:38.6357566Z >>> # Or use an OpOverload directly 2025-12-04T09:46:38.6358087Z >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU") 2025-12-04T09:46:38.6358579Z >>> 2025-12-04T09:46:38.6358972Z >>> # Example: Using get_kernel in a custom op with conditional dispatch 2025-12-04T09:46:38.6359490Z >>> # Get the original kernel for torch.sin 2025-12-04T09:46:38.6360009Z >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU") 2025-12-04T09:46:38.6360485Z >>> 2025-12-04T09:46:38.6360879Z >>> # If input has negative values, use original sin, otherwise return zeros 2025-12-04T09:46:38.6361537Z >>> def conditional_sin_impl(dispatch_keys, x): 2025-12-04T09:46:38.6361948Z >>> if (x < 0).any(): 2025-12-04T09:46:38.6362441Z >>> return original_sin_kernel.call_boxed(dispatch_keys, x) 2025-12-04T09:46:38.6362892Z >>> else: 2025-12-04T09:46:38.6363211Z >>> return torch.zeros_like(x) 2025-12-04T09:46:38.6363567Z >>> 2025-12-04T09:46:38.6363865Z >>> lib = torch.library.Library("aten", "IMPL") 2025-12-04T09:46:38.6364457Z >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet 2025-12-04T09:46:38.6365107Z >>> which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T09:46:38.6365667Z >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True) 2025-12-04T09:46:38.6366114Z >>> 2025-12-04T09:46:38.6366394Z >>> # Test the conditional behavior 2025-12-04T09:46:38.6366800Z >>> x_positive = torch.tensor([1.0, 2.0]) 2025-12-04T09:46:38.6367190Z >>> x_mixed = torch.tensor([-1.0, 2.0]) 2025-12-04T09:46:38.6367576Z >>> torch.sin(x_positive) 2025-12-04T09:46:38.6367917Z tensor([0., 0.]) 2025-12-04T09:46:38.6368216Z >>> torch.sin(x_mixed) 2025-12-04T09:46:38.6368548Z tensor([-0.8415, 0.9093]) 2025-12-04T09:46:38.6368864Z 2025-12-04T09:46:38.6369539Z Original Error: SyntaxError('invalid syntax', ('', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12)) 2025-12-04T09:46:38.6370322Z 2025-12-04T09:46:38.6370658Z which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T09:46:38.6371083Z ^ 2025-12-04T09:46:38.6371334Z warnings.warn(msg) 2025-12-04T09:46:38.6371621Z 2025-12-04T09:46:38.6371989Z --- Parse Warning: 4 / 17 --- 2025-12-04T09:46:38.6373281Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=is_available in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py line=70. 2025-12-04T09:46:38.6374752Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:46:38.6375458Z Check if the current accelerator is available at runtime: it was build, all the 2025-12-04T09:46:38.6376129Z required drivers are available and at least one device is visible. 2025-12-04T09:46:38.6376667Z See :ref:`accelerator` for details. 2025-12-04T09:46:38.6377058Z 2025-12-04T09:46:38.6377280Z Returns: 2025-12-04T09:46:38.6377742Z bool: A boolean indicating if there is an available :ref:`accelerator`. 2025-12-04T09:46:38.6378298Z 2025-12-04T09:46:38.6378701Z .. note:: This API delegates to the device-specific version of `is_available`. 2025-12-04T09:46:38.6379425Z On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set, 2025-12-04T09:46:38.6380142Z this function will NOT poison fork. Otherwise, it will. For more details, see 2025-12-04T09:46:38.6380742Z :ref:`multiprocessing-poison-fork-note`. 2025-12-04T09:46:38.6381131Z 2025-12-04T09:46:38.6381345Z Example:: 2025-12-04T09:46:38.6381598Z 2025-12-04T09:46:38.6382031Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:46:38.6382560Z 2025-12-04T09:46:38.6383348Z Original Error: SyntaxError('invalid syntax', ('', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78)) 2025-12-04T09:46:38.6384217Z 2025-12-04T09:46:38.6384643Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:46:38.6385185Z ^ 2025-12-04T09:46:38.6385535Z warnings.warn(msg) 2025-12-04T09:46:38.6385820Z 2025-12-04T09:46:38.6386219Z --- Parse Warning: 5 / 17 --- 2025-12-04T09:46:38.6387537Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py line=239. 2025-12-04T09:46:38.6389070Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:46:38.6389726Z Wait for all kernels in all streams on the given device to complete. 2025-12-04T09:46:38.6390172Z 2025-12-04T09:46:38.6390395Z Args: 2025-12-04T09:46:38.6390910Z device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match 2025-12-04T09:46:38.6391664Z the current :ref:`accelerator` device type. If not given, 2025-12-04T09:46:38.6392295Z use :func:`torch.accelerator.current_device_index` by default. 2025-12-04T09:46:38.6392747Z 2025-12-04T09:46:38.6393233Z .. note:: This function is a no-op if the current :ref:`accelerator` is not initialized. 2025-12-04T09:46:38.6393808Z 2025-12-04T09:46:38.6394029Z Example:: 2025-12-04T09:46:38.6394279Z 2025-12-04T09:46:38.6394552Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-12-04T09:46:38.6395158Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:46:38.6395857Z >>> start_event = torch.Event(enable_timing=True) 2025-12-04T09:46:38.6396299Z >>> end_event = torch.Event(enable_timing=True) 2025-12-04T09:46:38.6396703Z >>> start_event.record() 2025-12-04T09:46:38.6397212Z >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator()) 2025-12-04T09:46:38.6397748Z >>> sum = torch.sum(tensor) 2025-12-04T09:46:38.6398088Z >>> end_event.record() 2025-12-04T09:46:38.6398455Z >>> torch.accelerator.synchronize() 2025-12-04T09:46:38.6398924Z >>> elapsed_time_ms = start_event.elapsed_time(end_event) 2025-12-04T09:46:38.6399333Z 2025-12-04T09:46:38.6400114Z Original Error: SyntaxError('invalid syntax', ('', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78)) 2025-12-04T09:46:38.6401146Z 2025-12-04T09:46:38.6401558Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:46:38.6402112Z ^ 2025-12-04T09:46:38.6402464Z warnings.warn(msg) 2025-12-04T09:46:38.6402750Z 2025-12-04T09:46:38.6403089Z --- Parse Warning: 6 / 17 --- 2025-12-04T09:46:38.6404344Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py line=448. 2025-12-04T09:46:38.6405746Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:46:38.6406293Z Retrieves the CUDA runtime API module. 2025-12-04T09:46:38.6406649Z 2025-12-04T09:46:38.6406862Z 2025-12-04T09:46:38.6407261Z This function initializes the CUDA runtime environment if it is not already 2025-12-04T09:46:38.6407952Z initialized and returns the CUDA runtime API module (_cudart). The CUDA 2025-12-04T09:46:38.6408606Z runtime API module provides access to various CUDA runtime functions. 2025-12-04T09:46:38.6409092Z 2025-12-04T09:46:38.6409295Z Args: 2025-12-04T09:46:38.6409537Z ``None`` 2025-12-04T09:46:38.6409792Z 2025-12-04T09:46:38.6409996Z Returns: 2025-12-04T09:46:38.6410313Z module: The CUDA runtime API module (_cudart). 2025-12-04T09:46:38.6410699Z 2025-12-04T09:46:38.6410902Z Raises: 2025-12-04T09:46:38.6411316Z RuntimeError: If CUDA cannot be re-initialized in a forked subprocess. 2025-12-04T09:46:38.6412326Z AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable. 2025-12-04T09:46:38.6413068Z 2025-12-04T09:46:38.6413350Z Example of CUDA operations with profiling: 2025-12-04T09:46:38.6414059Z >>> import torch 2025-12-04T09:46:38.6414577Z >>> from torch.cuda import cudart, check_error 2025-12-04T09:46:38.6414953Z >>> import os 2025-12-04T09:46:38.6415230Z >>> 2025-12-04T09:46:38.6415511Z >>> os.environ["CUDA_PROFILE"] = "1" 2025-12-04T09:46:38.6415854Z >>> 2025-12-04T09:46:38.6416159Z >>> def perform_cuda_operations_with_streams(): 2025-12-04T09:46:38.6416578Z >>> stream = torch.cuda.Stream() 2025-12-04T09:46:38.6416964Z >>> with torch.cuda.stream(stream): 2025-12-04T09:46:38.6417378Z >>> x = torch.randn(100, 100, device='cuda') 2025-12-04T09:46:38.6417805Z >>> y = torch.randn(100, 100, device='cuda') 2025-12-04T09:46:38.6418200Z >>> z = torch.mul(x, y) 2025-12-04T09:46:38.6418535Z >>> return z 2025-12-04T09:46:38.6418827Z >>> 2025-12-04T09:46:38.6419109Z >>> torch.cuda.synchronize() 2025-12-04T09:46:38.6419499Z >>> print("====== Start nsys profiling ======") 2025-12-04T09:46:38.6419942Z >>> check_error(cudart().cudaProfilerStart()) 2025-12-04T09:46:38.6420390Z >>> with torch.autograd.profiler.emit_nvtx(): 2025-12-04T09:46:38.6420843Z >>> result = perform_cuda_operations_with_streams() 2025-12-04T09:46:38.6421299Z >>> print("CUDA operations completed.") 2025-12-04T09:46:38.6421760Z >>> check_error(torch.cuda.cudart().cudaProfilerStop()) 2025-12-04T09:46:38.6422229Z >>> print("====== End nsys profiling ======") 2025-12-04T09:46:38.6422583Z 2025-12-04T09:46:38.6422943Z To run this example and save the profiling information, execute: 2025-12-04T09:46:38.6423729Z >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T09:46:38.6424356Z 2025-12-04T09:46:38.6424762Z This command profiles the CUDA operations in the provided script and saves 2025-12-04T09:46:38.6425412Z the profiling information to a file named `trace_name.prof`. 2025-12-04T09:46:38.6426040Z The `--profile-from-start off` option ensures that profiling starts only 2025-12-04T09:46:38.6426620Z after the `cudaProfilerStart` call in the script. 2025-12-04T09:46:38.6427169Z The `--csv` and `--print-summary` options format the profiling output as a 2025-12-04T09:46:38.6427723Z CSV file and print a summary, respectively. 2025-12-04T09:46:38.6428291Z The `-o` option specifies the output file name, and the `-f` option forces the 2025-12-04T09:46:38.6428890Z overwrite of the output file if it already exists. 2025-12-04T09:46:38.6429285Z 2025-12-04T09:46:38.6430182Z Original Error: SyntaxError('invalid syntax', ('', 1, 1, '$ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py\n', 1, 2)) 2025-12-04T09:46:38.6431160Z 2025-12-04T09:46:38.6431683Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T09:46:38.6432322Z ^ 2025-12-04T09:46:38.6432565Z warnings.warn(msg) 2025-12-04T09:46:38.6432834Z 2025-12-04T09:46:38.6433218Z --- Parse Warning: 7 / 17 --- 2025-12-04T09:46:38.6434461Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=39. 2025-12-04T09:46:38.6435917Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:46:38.6436421Z 2025-12-04T09:46:38.6436905Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that 2025-12-04T09:46:38.6437527Z maps ``func`` over some dimension of the inputs. Semantically, vmap 2025-12-04T09:46:38.6438210Z pushes the map into PyTorch operations called by ``func``, effectively 2025-12-04T09:46:38.6438720Z vectorizing those operations. 2025-12-04T09:46:38.6439042Z 2025-12-04T09:46:38.6439419Z vmap is useful for handling batch dimensions: one can write a function 2025-12-04T09:46:38.6440015Z ``func`` that runs on examples and then lift it to a function that can 2025-12-04T09:46:38.6440623Z take batches of examples with ``vmap(func)``. vmap can also be used to 2025-12-04T09:46:38.6441193Z compute batched gradients when composed with autograd. 2025-12-04T09:46:38.6441598Z 2025-12-04T09:46:38.6441824Z .. note:: 2025-12-04T09:46:38.6442184Z :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for 2025-12-04T09:46:38.6442663Z convenience. Use whichever one you'd like. 2025-12-04T09:46:38.6443044Z 2025-12-04T09:46:38.6443264Z Args: 2025-12-04T09:46:38.6443623Z func (function): A Python function that takes one or more arguments. 2025-12-04T09:46:38.6444131Z Must return one or more Tensors. 2025-12-04T09:46:38.6444615Z in_dims (int or nested structure): Specifies which dimension of the 2025-12-04T09:46:38.6445180Z inputs should be mapped over. ``in_dims`` should have a 2025-12-04T09:46:38.6445720Z structure like the inputs. If the ``in_dim`` for a particular 2025-12-04T09:46:38.6446290Z input is None, then that indicates there is no map dimension. 2025-12-04T09:46:38.6446741Z Default: 0. 2025-12-04T09:46:38.6447131Z out_dims (int or Tuple[int]): Specifies where the mapped dimension 2025-12-04T09:46:38.6447713Z should appear in the outputs. If ``out_dims`` is a Tuple, then 2025-12-04T09:46:38.6448244Z it should have one element per output. Default: 0. 2025-12-04T09:46:38.6448768Z randomness (str): Specifies whether the randomness in this 2025-12-04T09:46:38.6449337Z vmap should be the same or different across batches. If 'different', 2025-12-04T09:46:38.6450146Z the randomness for each batch will be different. If 'same', the 2025-12-04T09:46:38.6451036Z randomness will be the same across batches. If 'error', any calls to 2025-12-04T09:46:38.6452039Z random functions will error. Default: 'error'. WARNING: this flag 2025-12-04T09:46:38.6453048Z only applies to random PyTorch operations and does not apply to 2025-12-04T09:46:38.6453956Z Python's random module or numpy randomness. 2025-12-04T09:46:38.6454783Z chunk_size (None or int): If None (default), apply a single vmap over inputs. 2025-12-04T09:46:38.6455585Z If not None, then compute the vmap :attr:`chunk_size` samples at a time. 2025-12-04T09:46:38.6456303Z Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop. 2025-12-04T09:46:38.6457050Z If you run into memory issues computing the vmap, please try a non-None chunk_size. 2025-12-04T09:46:38.6457596Z 2025-12-04T09:46:38.6457805Z Returns: 2025-12-04T09:46:38.6458171Z Returns a new "batched" function. It takes the same inputs as 2025-12-04T09:46:38.6458732Z ``func``, except each input has an extra dimension at the index 2025-12-04T09:46:38.6459282Z specified by ``in_dims``. It takes returns the same outputs as 2025-12-04T09:46:38.6459839Z ``func``, except each output has an extra dimension at the index 2025-12-04T09:46:38.6460305Z specified by ``out_dims``. 2025-12-04T09:46:38.6460607Z 2025-12-04T09:46:38.6460827Z .. warning: 2025-12-04T09:46:38.6461211Z :func:`vmap` works best with functional-style code. Please do not 2025-12-04T09:46:38.6461779Z perform any side-effects in ``func``, with the exception of 2025-12-04T09:46:38.6462524Z in-place PyTorch operations. Examples of side-effects include mutating 2025-12-04T09:46:38.6463190Z Python data structures and assigning values to variables not captured 2025-12-04T09:46:38.6463756Z in ``func``. 2025-12-04T09:46:38.6464004Z 2025-12-04T09:46:38.6464408Z One example of using :func:`vmap` is to compute batched dot products. PyTorch 2025-12-04T09:46:38.6465068Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully 2025-12-04T09:46:38.6465694Z rummaging through docs, use :func:`vmap` to construct a new function. 2025-12-04T09:46:38.6466174Z 2025-12-04T09:46:38.6466417Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:46:38.6466880Z >>> batched_dot = torch.func.vmap(torch.dot) # [N, D], [N, D] -> [N] 2025-12-04T09:46:38.6467398Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T09:46:38.6467784Z >>> batched_dot(x, y) 2025-12-04T09:46:38.6468077Z 2025-12-04T09:46:38.6468455Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler 2025-12-04T09:46:38.6468976Z model authoring experience. 2025-12-04T09:46:38.6469292Z 2025-12-04T09:46:38.6469533Z >>> batch_size, feature_size = 3, 5 2025-12-04T09:46:38.6469987Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T09:46:38.6470412Z >>> 2025-12-04T09:46:38.6470655Z >>> def model(feature_vec): 2025-12-04T09:46:38.6471030Z >>> # Very simple linear model with activation 2025-12-04T09:46:38.6471453Z >>> return feature_vec.dot(weights).relu() 2025-12-04T09:46:38.6471809Z >>> 2025-12-04T09:46:38.6472115Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T09:46:38.6472552Z >>> result = torch.vmap(model)(examples) 2025-12-04T09:46:38.6472910Z 2025-12-04T09:46:38.6473309Z :func:`vmap` can also help vectorize computations that were previously difficult 2025-12-04T09:46:38.6474006Z or impossible to batch. One example is higher-order gradient computation. 2025-12-04T09:46:38.6474671Z The PyTorch autograd engine computes vjps (vector-Jacobian products). 2025-12-04T09:46:38.6475424Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually 2025-12-04T09:46:38.6476114Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`, 2025-12-04T09:46:38.6476814Z we can vectorize the whole computation, computing the Jacobian in a single 2025-12-04T09:46:38.6477348Z call to ``autograd.grad``. 2025-12-04T09:46:38.6477644Z 2025-12-04T09:46:38.6477872Z >>> # Setup 2025-12-04T09:46:38.6478131Z >>> N = 5 2025-12-04T09:46:38.6478387Z >>> f = lambda x: x**2 2025-12-04T09:46:38.6478741Z >>> x = torch.randn(N, requires_grad=True) 2025-12-04T09:46:38.6479113Z >>> y = f(x) 2025-12-04T09:46:38.6479379Z >>> I_N = torch.eye(N) 2025-12-04T09:46:38.6479685Z >>> 2025-12-04T09:46:38.6479944Z >>> # Sequential approach 2025-12-04T09:46:38.6480410Z >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0] 2025-12-04T09:46:38.6480925Z >>> for v in I_N.unbind()] 2025-12-04T09:46:38.6481335Z >>> jacobian = torch.stack(jacobian_rows) 2025-12-04T09:46:38.6481683Z >>> 2025-12-04T09:46:38.6481960Z >>> # vectorized gradient computation 2025-12-04T09:46:38.6482328Z >>> def get_vjp(v): 2025-12-04T09:46:38.6482669Z >>> return torch.autograd.grad(y, x, v) 2025-12-04T09:46:38.6483066Z >>> jacobian = torch.vmap(get_vjp)(I_N) 2025-12-04T09:46:38.6483430Z 2025-12-04T09:46:38.6483859Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions 2025-12-04T09:46:38.6484376Z 2025-12-04T09:46:38.6484617Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:46:38.6484974Z >>> batched_dot = torch.vmap( 2025-12-04T09:46:38.6485315Z ... torch.vmap(torch.dot) 2025-12-04T09:46:38.6485773Z ... ) # [N1, N0, D], [N1, N0, D] -> [N1, N0] 2025-12-04T09:46:38.6486198Z >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5) 2025-12-04T09:46:38.6486689Z >>> batched_dot(x, y) # tensor of size [2, 3] 2025-12-04T09:46:38.6487053Z 2025-12-04T09:46:38.6487457Z If the inputs are not batched along the first dimension, ``in_dims`` specifies 2025-12-04T09:46:38.6488049Z the dimension that each inputs are batched along as 2025-12-04T09:46:38.6488430Z 2025-12-04T09:46:38.6488676Z >>> torch.dot # [N], [N] -> [] 2025-12-04T09:46:38.6489166Z >>> batched_dot = torch.vmap(torch.dot, in_dims=1) # [N, D], [N, D] -> [D] 2025-12-04T09:46:38.6489693Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T09:46:38.6490076Z >>> batched_dot( 2025-12-04T09:46:38.6490357Z ... x, y 2025-12-04T09:46:38.6490730Z ... ) # output is [5] instead of [2] if batched along the 0th dimension 2025-12-04T09:46:38.6491173Z 2025-12-04T09:46:38.6491597Z If there are multiple inputs each of which is batched along different dimensions, 2025-12-04T09:46:38.6492265Z ``in_dims`` must be a tuple with the batch dimension for each input as 2025-12-04T09:46:38.6492715Z 2025-12-04T09:46:38.6492954Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:46:38.6493464Z >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None)) # [N, D], [D] -> [N] 2025-12-04T09:46:38.6494000Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T09:46:38.6494371Z >>> batched_dot( 2025-12-04T09:46:38.6494653Z ... x, y 2025-12-04T09:46:38.6495027Z ... ) # second arg doesn't have a batch dim because in_dim[1] was None 2025-12-04T09:46:38.6495479Z 2025-12-04T09:46:38.6495876Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct 2025-12-04T09:46:38.6496400Z matching the shape of the input: 2025-12-04T09:46:38.6496730Z 2025-12-04T09:46:38.6497015Z >>> f = lambda dict: torch.dot(dict["x"], dict["y"]) 2025-12-04T09:46:38.6497447Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T09:46:38.6497812Z >>> input = {"x": x, "y": y} 2025-12-04T09:46:38.6498249Z >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},)) 2025-12-04T09:46:38.6498704Z >>> batched_dot(input) 2025-12-04T09:46:38.6498991Z 2025-12-04T09:46:38.6499428Z By default, the output is batched along the first dimension. However, it can be batched 2025-12-04T09:46:38.6500024Z along any dimension by using ``out_dims`` 2025-12-04T09:46:38.6500631Z 2025-12-04T09:46:38.6500869Z >>> f = lambda x: x**2 2025-12-04T09:46:38.6501190Z >>> x = torch.randn(2, 5) 2025-12-04T09:46:38.6501542Z >>> batched_pow = torch.vmap(f, out_dims=1) 2025-12-04T09:46:38.6501932Z >>> batched_pow(x) # [5, 2] 2025-12-04T09:46:38.6502252Z 2025-12-04T09:46:38.6502713Z For any function that uses kwargs, the returned function will not batch the kwargs but will 2025-12-04T09:46:38.6503280Z accept kwargs 2025-12-04T09:46:38.6503533Z 2025-12-04T09:46:38.6503771Z >>> x = torch.randn([2, 5]) 2025-12-04T09:46:38.6504102Z >>> def fn(x, scale=4.): 2025-12-04T09:46:38.6504422Z >>> return x * scale 2025-12-04T09:46:38.6504717Z >>> 2025-12-04T09:46:38.6504965Z >>> batched_pow = torch.vmap(fn) 2025-12-04T09:46:38.6505376Z >>> assert torch.allclose(batched_pow(x), x * 4) 2025-12-04T09:46:38.6505920Z >>> batched_pow(x, scale=x) # scale is not batched, output has shape [2, 2, 5] 2025-12-04T09:46:38.6506398Z 2025-12-04T09:46:38.6506626Z .. note:: 2025-12-04T09:46:38.6507025Z vmap does not provide general autobatching or handle variable-length 2025-12-04T09:46:38.6507530Z sequences out of the box. 2025-12-04T09:46:38.6507837Z 2025-12-04T09:46:38.6508576Z Original Error: IndentationError('expected an indented block after function definition on line 4', ('', 5, 1, '_._ = None\n', 5, 2)) 2025-12-04T09:46:38.6509550Z 2025-12-04T09:46:38.6509761Z _._ = None 2025-12-04T09:46:38.6510004Z ^ 2025-12-04T09:46:38.6510336Z warnings.warn(msg) 2025-12-04T09:46:38.6510601Z 2025-12-04T09:46:38.6511005Z --- Parse Warning: 8 / 17 --- 2025-12-04T09:46:38.6512252Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=grad in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=306. 2025-12-04T09:46:38.6513634Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:46:38.6514312Z ``grad`` operator helps computing gradients of ``func`` with respect to the 2025-12-04T09:46:38.6514951Z input(s) specified by ``argnums``. This operator can be nested to 2025-12-04T09:46:38.6515515Z compute higher-order gradients. 2025-12-04T09:46:38.6515860Z 2025-12-04T09:46:38.6516083Z Args: 2025-12-04T09:46:38.6516488Z func (Callable): A Python function that takes one or more arguments. 2025-12-04T09:46:38.6517159Z Must return a single-element Tensor. If specified ``has_aux`` equals ``True``, 2025-12-04T09:46:38.6517913Z function can return a tuple of single-element Tensor and other auxiliary objects: 2025-12-04T09:46:38.6518477Z ``(output, aux)``. 2025-12-04T09:46:38.6519021Z argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to. 2025-12-04T09:46:38.6519702Z ``argnums`` can be single integer or tuple of integers. Default: 0. 2025-12-04T09:46:38.6520330Z has_aux (bool): Flag indicating that ``func`` returns a tensor and other 2025-12-04T09:46:38.6520912Z auxiliary objects: ``(output, aux)``. Default: False. 2025-12-04T09:46:38.6521317Z 2025-12-04T09:46:38.6521544Z Returns: 2025-12-04T09:46:38.6522034Z Function to compute gradients with respect to its inputs. By default, the output of 2025-12-04T09:46:38.6522766Z the function is the gradient tensor(s) with respect to the first argument. 2025-12-04T09:46:38.6523484Z If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects 2025-12-04T09:46:38.6524221Z is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with 2025-12-04T09:46:38.6524815Z respect to each ``argnums`` value is returned. 2025-12-04T09:46:38.6525191Z 2025-12-04T09:46:38.6525434Z Example of using ``grad``: 2025-12-04T09:46:38.6525753Z 2025-12-04T09:46:38.6525972Z >>> # xdoctest: +SKIP 2025-12-04T09:46:38.6526317Z >>> from torch.func import grad 2025-12-04T09:46:38.6526680Z >>> x = torch.randn([]) 2025-12-04T09:46:38.6527049Z >>> cos_x = grad(lambda x: torch.sin(x))(x) 2025-12-04T09:46:38.6527455Z >>> assert torch.allclose(cos_x, x.cos()) 2025-12-04T09:46:38.6527821Z >>> 2025-12-04T09:46:38.6528093Z >>> # Second-order gradients 2025-12-04T09:46:38.6528492Z >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x) 2025-12-04T09:46:38.6528953Z >>> assert torch.allclose(neg_sin_x, -x.sin()) 2025-12-04T09:46:38.6529329Z 2025-12-04T09:46:38.6529725Z When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients: 2025-12-04T09:46:38.6530241Z 2025-12-04T09:46:38.6530476Z >>> # xdoctest: +SKIP 2025-12-04T09:46:38.6530819Z >>> from torch.func import grad, vmap 2025-12-04T09:46:38.6531221Z >>> batch_size, feature_size = 3, 5 2025-12-04T09:46:38.6531574Z >>> 2025-12-04T09:46:38.6531856Z >>> def model(weights, feature_vec): 2025-12-04T09:46:38.6532255Z >>> # Very simple linear model with activation 2025-12-04T09:46:38.6532667Z >>> assert feature_vec.dim() == 1 2025-12-04T09:46:38.6533183Z >>> return feature_vec.dot(weights).relu() 2025-12-04T09:46:38.6533545Z >>> 2025-12-04T09:46:38.6533851Z >>> def compute_loss(weights, example, target): 2025-12-04T09:46:38.6534336Z >>> y = model(weights, example) 2025-12-04T09:46:38.6534737Z >>> return ((y - target) ** 2).mean() # MSELoss 2025-12-04T09:46:38.6535117Z >>> 2025-12-04T09:46:38.6535464Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T09:46:38.6535982Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T09:46:38.6536411Z >>> targets = torch.randn(batch_size) 2025-12-04T09:46:38.6536818Z >>> inputs = (weights, examples, targets) 2025-12-04T09:46:38.6537361Z >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))( 2025-12-04T09:46:38.6537858Z ... *inputs 2025-12-04T09:46:38.6538145Z ... ) 2025-12-04T09:46:38.6538387Z 2025-12-04T09:46:38.6538703Z Example of using ``grad`` with ``has_aux`` and ``argnums``: 2025-12-04T09:46:38.6539125Z 2025-12-04T09:46:38.6539360Z >>> # xdoctest: +SKIP 2025-12-04T09:46:38.6539698Z >>> from torch.func import grad 2025-12-04T09:46:38.6540076Z >>> def my_loss_func(y, y_pred): 2025-12-04T09:46:38.6540477Z >>> loss_per_sample = (0.5 * y_pred - y) ** 2 2025-12-04T09:46:38.6540893Z >>> loss = loss_per_sample.mean() 2025-12-04T09:46:38.6541290Z >>> return loss, (y_pred, loss_per_sample) 2025-12-04T09:46:38.6541661Z >>> 2025-12-04T09:46:38.6541985Z >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True) 2025-12-04T09:46:38.6542397Z >>> y_true = torch.rand(4) 2025-12-04T09:46:38.6542787Z >>> y_preds = torch.rand(4, requires_grad=True) 2025-12-04T09:46:38.6543193Z >>> out = fn(y_true, y_preds) 2025-12-04T09:46:38.6543712Z >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample)) 2025-12-04T09:46:38.6544222Z 2025-12-04T09:46:38.6544449Z .. note:: 2025-12-04T09:46:38.6544804Z Using PyTorch ``torch.no_grad`` together with ``grad``. 2025-12-04T09:46:38.6545210Z 2025-12-04T09:46:38.6545504Z Case 1: Using ``torch.no_grad`` inside a function: 2025-12-04T09:46:38.6545893Z 2025-12-04T09:46:38.6546118Z >>> # xdoctest: +SKIP 2025-12-04T09:46:38.6546451Z >>> def f(x): 2025-12-04T09:46:38.6546772Z >>> with torch.no_grad(): 2025-12-04T09:46:38.6547118Z >>> c = x ** 2 2025-12-04T09:46:38.6547456Z >>> return x - c 2025-12-04T09:46:38.6547769Z 2025-12-04T09:46:38.6548111Z In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``. 2025-12-04T09:46:38.6548573Z 2025-12-04T09:46:38.6548908Z Case 2: Using ``grad`` inside ``torch.no_grad`` context manager: 2025-12-04T09:46:38.6549356Z 2025-12-04T09:46:38.6549582Z >>> # xdoctest: +SKIP 2025-12-04T09:46:38.6549931Z >>> with torch.no_grad(): 2025-12-04T09:46:38.6550283Z >>> grad(f)(x) 2025-12-04T09:46:38.6550576Z 2025-12-04T09:46:38.6550948Z In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the 2025-12-04T09:46:38.6551594Z outer one. This is because ``grad`` is a "function transform": its result 2025-12-04T09:46:38.6552226Z should not depend on the result of a context manager outside of ``f``. 2025-12-04T09:46:38.6552705Z 2025-12-04T09:46:38.6552920Z 2025-12-04T09:46:38.6553644Z Original Error: IndentationError('expected an indented block after function definition on line 5', ('', 6, 1, '_._ = None\n', 6, 2)) 2025-12-04T09:46:38.6554473Z 2025-12-04T09:46:38.6554690Z _._ = None 2025-12-04T09:46:38.6554930Z ^ 2025-12-04T09:46:38.6555158Z warnings.warn(msg) 2025-12-04T09:46:38.6555618Z 2025-12-04T09:46:38.6555998Z --- Parse Warning: 9 / 17 --- 2025-12-04T09:46:38.6557380Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=CustomOpDef.register_fake in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py line=402. 2025-12-04T09:46:38.6559002Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:46:38.6559635Z Register a FakeTensor implementation for this custom op. 2025-12-04T09:46:38.6560069Z 2025-12-04T09:46:38.6560471Z This is necessary to get the operator to work efficiently with torch.compile. 2025-12-04T09:46:38.6560992Z 2025-12-04T09:46:38.6561370Z The Fake impl (sometimes also known as a meta kernel or abstract impl) 2025-12-04T09:46:38.6562015Z specifies the behavior of this operator on Tensors that carry no data. 2025-12-04T09:46:38.6562600Z Given some input Tensors with certain properties 2025-12-04T09:46:38.6563204Z (sizes/strides/storage_offset/device), it specifies what the properties of 2025-12-04T09:46:38.6563751Z the output Tensors are. 2025-12-04T09:46:38.6564075Z 2025-12-04T09:46:38.6564436Z Please see :func:`torch.library.register_fake` for more details. 2025-12-04T09:46:38.6564901Z 2025-12-04T09:46:38.6565107Z Args: 2025-12-04T09:46:38.6565464Z fn (Callable): The function to register as the FakeTensor 2025-12-04T09:46:38.6565916Z implementation. 2025-12-04T09:46:38.6566221Z 2025-12-04T09:46:38.6566444Z Examples: 2025-12-04T09:46:38.6566726Z >>> import torch 2025-12-04T09:46:38.6567041Z >>> import numpy as np 2025-12-04T09:46:38.6567401Z >>> from torch import Tensor 2025-12-04T09:46:38.6567741Z >>> 2025-12-04T09:46:38.6568103Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T09:46:38.6568676Z >>> @torch.library.custom_op("mylib::linear", mutates_args=()) 2025-12-04T09:46:38.6569252Z >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T09:46:38.6569755Z >>> return (x @ weight.t()) + bias 2025-12-04T09:46:38.6570102Z >>> 2025-12-04T09:46:38.6570381Z >>> @linear.register_fake 2025-12-04T09:46:38.6570755Z >>> def _(x, weight, bias): 2025-12-04T09:46:38.6571104Z >>> assert x.dim() == 2 2025-12-04T09:46:38.6571480Z >>> assert weight.dim() == 2 2025-12-04T09:46:38.6571862Z >>> assert bias.dim() == 1 2025-12-04T09:46:38.6572248Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T09:46:38.6572680Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T09:46:38.6573112Z >>> assert x.device == weight.device 2025-12-04T09:46:38.6573552Z >>> return x.new_empty(x.size(0), weight.size(0)) 2025-12-04T09:46:38.6573935Z >>> 2025-12-04T09:46:38.6574213Z >>> x = torch.randn(2, 2) 2025-12-04T09:46:38.6574590Z >>> weight = torch.randn(2, 2) 2025-12-04T09:46:38.6574949Z >>> bias = torch.randn(2) 2025-12-04T09:46:38.6575345Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:46:38.6575855Z >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias) 2025-12-04T09:46:38.6576355Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:46:38.6576932Z >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias)) 2025-12-04T09:46:38.6577451Z >>> 2025-12-04T09:46:38.6577813Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T09:46:38.6578442Z >>> @torch.library.custom_op("mylib::nonzero", mutates_args=()) 2025-12-04T09:46:38.6578951Z >>> def nonzero(x: Tensor) -> Tensor: 2025-12-04T09:46:38.6579410Z >>> x_np = x.cpu().numpy() 2025-12-04T09:46:38.6579802Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T09:46:38.6580245Z >>> return torch.tensor(res, device=x.device) 2025-12-04T09:46:38.6580630Z >>> 2025-12-04T09:46:38.6580915Z >>> @nonzero.register_fake 2025-12-04T09:46:38.6581258Z >>> def _(x): 2025-12-04T09:46:38.6581633Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T09:46:38.6582128Z >>> # Since we cannot peek at the data in an abstract impl, 2025-12-04T09:46:38.6582620Z >>> # we use the ctx object to construct a new symint that 2025-12-04T09:46:38.6583085Z >>> # represents the data-dependent size. 2025-12-04T09:46:38.6583508Z >>> ctx = torch.library.get_ctx() 2025-12-04T09:46:38.6583900Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T09:46:38.6584289Z >>> shape = [nnz, x.dim()] 2025-12-04T09:46:38.6584718Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T09:46:38.6585143Z >>> return result 2025-12-04T09:46:38.6585451Z >>> 2025-12-04T09:46:38.6585744Z >>> x = torch.tensor([0, 1, 2, 0, 0, 1]) 2025-12-04T09:46:38.6586163Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:46:38.6586609Z >>> out = torch.compile(nonzero, fullgraph=True)(x) 2025-12-04T09:46:38.6587069Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:46:38.6587504Z >>> assert torch.allclose(out, x.nonzero()) 2025-12-04T09:46:38.6587863Z 2025-12-04T09:46:38.6588083Z 2025-12-04T09:46:38.6588845Z Original Error: IndentationError('expected an indented block after function definition on line 36', ('', 37, 1, '_._ = None\n', 37, 2)) 2025-12-04T09:46:38.6589682Z 2025-12-04T09:46:38.6589891Z _._ = None 2025-12-04T09:46:38.6590129Z ^ 2025-12-04T09:46:38.6590369Z warnings.warn(msg) 2025-12-04T09:46:38.6590640Z 2025-12-04T09:46:38.6591007Z --- Parse Warning: 10 / 17 --- 2025-12-04T09:46:38.6592618Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=unsafe_generate_fake_kernels in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_profile.py line=94. 2025-12-04T09:46:38.6594165Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-12-04T09:46:38.6594683Z 2025-12-04T09:46:38.6595071Z Registers a fake kernel based on the given operator profiles. This fake 2025-12-04T09:46:38.6595828Z kernel registration will override any existing fake kernel registrations. 2025-12-04T09:46:38.6596330Z 2025-12-04T09:46:38.6596705Z The input is a dictionary mapping operator names to a set of operator 2025-12-04T09:46:38.6597355Z profiles, which we will use to generate fake kernels. The operator profiles 2025-12-04T09:46:38.6597985Z are a record of the input and output tensor metadata. Based on this 2025-12-04T09:46:38.6598631Z information we will match a given input to the recorded profile, and return 2025-12-04T09:46:38.6599311Z an output with the same metadata as in the recorded profile. If a profile 2025-12-04T09:46:38.6599866Z doesn't exist then an exception will be thrown. 2025-12-04T09:46:38.6600438Z 2025-12-04T09:46:38.6600953Z The fake kernel generation is considered unsafe because it relies on the 2025-12-04T09:46:38.6601622Z rigid, pre-defined operator profiles that do not account for potential 2025-12-04T09:46:38.6602299Z variations in output behavior. Specifically, the generated kernels assume a 2025-12-04T09:46:38.6603170Z fixed relationship between input and output ranks. However, in reality, it's 2025-12-04T09:46:38.6603882Z possible that data-dependent operations may produce outputs of different 2025-12-04T09:46:38.6604649Z ranks even when given inputs of the same rank. The generated fake kernels 2025-12-04T09:46:38.6605281Z are inflexible and unable to accommodate these nuances, making them 2025-12-04T09:46:38.6605778Z potentially unsafe. 2025-12-04T09:46:38.6606064Z 2025-12-04T09:46:38.6606272Z Args: 2025-12-04T09:46:38.6606662Z op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator 2025-12-04T09:46:38.6607285Z name to a set of operator profiles from which we will generate fake 2025-12-04T09:46:38.6607738Z kernels. 2025-12-04T09:46:38.6608000Z 2025-12-04T09:46:38.6608226Z Examples: 2025-12-04T09:46:38.6608450Z 2025-12-04T09:46:38.6608771Z >>> # Example: Registering an op-profile from draft-export 2025-12-04T09:46:38.6609200Z >>> import torch 2025-12-04T09:46:38.6609577Z >>> from torch.export._draft_export import draft_export 2025-12-04T09:46:38.6609976Z >>> 2025-12-04T09:46:38.6610327Z >>> @torch.library.custom_op("mylib::foo", mutates_args=()) 2025-12-04T09:46:38.6610803Z >>> def foo(x: Tensor, y: Tensor) -> Tensor: 2025-12-04T09:46:38.6611169Z >>> return x + y 2025-12-04T09:46:38.6611459Z >>> 2025-12-04T09:46:38.6611718Z >>> class M(torch.nn.Module): 2025-12-04T09:46:38.6612060Z >>> def forward(self, a, b): 2025-12-04T09:46:38.6612474Z >>> res = torch.ops.mylib.foo(a, b) # no fake impl 2025-12-04T09:46:38.6612883Z >>> return res 2025-12-04T09:46:38.6613165Z >>> 2025-12-04T09:46:38.6613500Z >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4)) 2025-12-04T09:46:38.6613922Z >>> 2025-12-04T09:46:38.6614399Z >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles): 2025-12-04T09:46:38.6615011Z >>> decomp = ep.run_decompositions() 2025-12-04T09:46:38.6615369Z 2025-12-04T09:46:38.6615584Z 2025-12-04T09:46:38.6616254Z Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced') 2025-12-04T09:46:38.6617030Z 2025-12-04T09:46:38.6617261Z warnings.warn(msg) 2025-12-04T09:46:38.6617530Z 2025-12-04T09:46:38.6617904Z --- Parse Warning: 11 / 17 --- 2025-12-04T09:46:38.6619556Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=ActivationSparsifier in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py line=16. 2025-12-04T09:46:38.6621344Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:46:38.6621841Z 2025-12-04T09:46:38.6622277Z The Activation sparsifier class aims to sparsify/prune activations in a neural 2025-12-04T09:46:38.6622978Z network. The idea is to attach the sparsifier to a layer (or layers) and it 2025-12-04T09:46:38.6623650Z zeroes out the activations based on the mask_fn (or sparsification function) 2025-12-04T09:46:38.6624176Z input by the user. 2025-12-04T09:46:38.6624618Z The mask_fn is applied once all the inputs are aggregated and reduced i.e. 2025-12-04T09:46:38.6625190Z mask = mask_fn(reduce_fn(aggregate_fn(activations))) 2025-12-04T09:46:38.6625574Z 2025-12-04T09:46:38.6625794Z Note:: 2025-12-04T09:46:38.6626298Z The sparsification mask is computed on the input **before it goes through the attached layer**. 2025-12-04T09:46:38.6626881Z 2025-12-04T09:46:38.6627097Z Args: 2025-12-04T09:46:38.6627341Z model (nn.Module): 2025-12-04T09:46:38.6627776Z The model whose layers will be sparsified. The layers that needs to be 2025-12-04T09:46:38.6628548Z sparsified should be added separately using the register_layer() function 2025-12-04T09:46:38.6629106Z aggregate_fn (Optional, Callable): 2025-12-04T09:46:38.6629722Z default aggregate_fn that is used if not specified while registering the layer. 2025-12-04T09:46:38.6630336Z specifies how inputs should be aggregated over time. 2025-12-04T09:46:38.6630985Z The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor. 2025-12-04T09:46:38.6631543Z Example 2025-12-04T09:46:38.6631890Z def add_agg_fn(tensor1, tensor2): return tensor1 + tensor2 2025-12-04T09:46:38.6632360Z reduce_fn (Optional, Callable): 2025-12-04T09:46:38.6632905Z default reduce_fn that is used if not specified while registering the layer. 2025-12-04T09:46:38.6633616Z reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after 2025-12-04T09:46:38.6634167Z calling agg_fn() on all inputs. 2025-12-04T09:46:38.6634534Z Example 2025-12-04T09:46:38.6634949Z def mean_reduce_fn(agg_tensor): return agg_tensor.mean(dim=0) 2025-12-04T09:46:38.6635510Z mask_fn (Optional, Callable): 2025-12-04T09:46:38.6636122Z default mask_fn that is used to create the sparsification mask using the tensor obtained after 2025-12-04T09:46:38.6636905Z calling the reduce_fn(). This is used by default if a custom one is passed in the 2025-12-04T09:46:38.6637451Z register_layer(). 2025-12-04T09:46:38.6638075Z Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config 2025-12-04T09:46:38.6638722Z arguments. 2025-12-04T09:46:38.6639050Z features (Optional, list): 2025-12-04T09:46:38.6639439Z default selected features to sparsify. 2025-12-04T09:46:38.6640032Z If this is non-empty, then the mask_fn will be applied for each feature of the input. 2025-12-04T09:46:38.6640591Z For example, 2025-12-04T09:46:38.6641098Z mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features] 2025-12-04T09:46:38.6641647Z feature_dim (Optional, int): 2025-12-04T09:46:38.6642228Z default dimension of input features. Again, features along this dim will be chosen 2025-12-04T09:46:38.6642804Z for sparsification. 2025-12-04T09:46:38.6643151Z sparse_config (Dict): 2025-12-04T09:46:38.6643633Z Default configuration for the mask_fn. This config will be passed 2025-12-04T09:46:38.6644139Z with the mask_fn() 2025-12-04T09:46:38.6644452Z 2025-12-04T09:46:38.6644676Z Example: 2025-12-04T09:46:38.6644929Z >>> # xdoctest: +SKIP 2025-12-04T09:46:38.6645248Z >>> model = SomeModel() 2025-12-04T09:46:38.6645731Z >>> act_sparsifier = ActivationSparsifier(...) # init activation sparsifier 2025-12-04T09:46:38.6658564Z >>> # Initialize aggregate_fn 2025-12-04T09:46:38.6658976Z >>> def agg_fn(x, y): 2025-12-04T09:46:38.6659298Z >>> return x + y 2025-12-04T09:46:38.6659580Z >>> 2025-12-04T09:46:38.6659837Z >>> # Initialize reduce_fn 2025-12-04T09:46:38.6660172Z >>> def reduce_fn(x): 2025-12-04T09:46:38.6660489Z >>> return torch.mean(x, dim=0) 2025-12-04T09:46:38.6660838Z >>> 2025-12-04T09:46:38.6661090Z >>> # Initialize mask_fn 2025-12-04T09:46:38.6661404Z >>> def mask_fn(data): 2025-12-04T09:46:38.6661777Z >>> return torch.eye(data.shape).to(data.device) 2025-12-04T09:46:38.6662167Z >>> 2025-12-04T09:46:38.6662381Z >>> 2025-12-04T09:46:38.6662650Z >>> act_sparsifier.register_layer( 2025-12-04T09:46:38.6663021Z ... model.some_layer, 2025-12-04T09:46:38.6663346Z ... aggregate_fn=agg_fn, 2025-12-04T09:46:38.6663788Z ... reduce_fn=reduce_fn, 2025-12-04T09:46:38.6664124Z ... mask_fn=mask_fn, 2025-12-04T09:46:38.6664494Z ... ) 2025-12-04T09:46:38.6664714Z >>> 2025-12-04T09:46:38.6664961Z >>> # start training process 2025-12-04T09:46:38.6665300Z >>> for _ in [...]: 2025-12-04T09:46:38.6665585Z >>> # epoch starts 2025-12-04T09:46:38.6665969Z >>> # model.forward(), compute_loss() and model.backwards() 2025-12-04T09:46:38.6666403Z >>> # epoch ends 2025-12-04T09:46:38.6666694Z >>> act_sparsifier.step() 2025-12-04T09:46:38.6667048Z >>> # end training process 2025-12-04T09:46:38.6667389Z >>> sparsifier.squash_mask() 2025-12-04T09:46:38.6667696Z 2025-12-04T09:46:38.6668400Z Original Error: IndentationError("expected an indented block after 'for' statement on line 25", ('', 26, 1, '_._ = None\n', 26, 2)) 2025-12-04T09:46:38.6669205Z 2025-12-04T09:46:38.6669428Z _._ = None 2025-12-04T09:46:38.6669651Z ^ 2025-12-04T09:46:38.6669881Z warnings.warn(msg) 2025-12-04T09:46:38.6670149Z 2025-12-04T09:46:38.6670532Z --- Parse Warning: 12 / 17 --- 2025-12-04T09:46:38.6671911Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py line=547. 2025-12-04T09:46:38.6673421Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:46:38.6673920Z 2025-12-04T09:46:38.6674331Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh. 2025-12-04T09:46:38.6675071Z The submesh created consists of the dimensions and the communicators indicated by 2025-12-04T09:46:38.6675694Z ``mesh_dim_names`` 2025-12-04T09:46:38.6675942Z 2025-12-04T09:46:38.6676144Z Args: 2025-12-04T09:46:38.6676549Z mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the 2025-12-04T09:46:38.6677153Z mesh dimension of the DeviceMesh to create the submesh for. 2025-12-04T09:46:38.6677578Z Returns: 2025-12-04T09:46:38.6677831Z A :class:`DeviceMesh` object 2025-12-04T09:46:38.6678138Z 2025-12-04T09:46:38.6678586Z The following program runs on each process/rank in an SPMD manner in a world size of 8. 2025-12-04T09:46:38.6679159Z In the first example: 2025-12-04T09:46:38.6679638Z Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]). 2025-12-04T09:46:38.6680333Z Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of DeviceMesh:([4, 5, 6, 7]). 2025-12-04T09:46:38.6681011Z Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of DeviceMesh:([0, 4]). 2025-12-04T09:46:38.6681658Z Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of DeviceMesh:([1, 5]). 2025-12-04T09:46:38.6682295Z Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of DeviceMesh:([2, 6]). 2025-12-04T09:46:38.6682939Z Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of DeviceMesh:([3, 7]). 2025-12-04T09:46:38.6683421Z 2025-12-04T09:46:38.6683651Z In the second example: 2025-12-04T09:46:38.6684139Z Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]). 2025-12-04T09:46:38.6684883Z Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]). 2025-12-04T09:46:38.6685619Z Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]). 2025-12-04T09:46:38.6686350Z Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]). 2025-12-04T09:46:38.6686862Z 2025-12-04T09:46:38.6687091Z Example:: 2025-12-04T09:46:38.6687328Z 2025-12-04T09:46:38.6687556Z >>> # xdoctest: +SKIP("no rank") 2025-12-04T09:46:38.6688092Z >>> from torch.distributed.device_mesh import DeviceMesh 2025-12-04T09:46:38.6688519Z >>> 2025-12-04T09:46:38.6688933Z >>> # Initialize a 2D device mesh as (2, 4) to represent the topology 2025-12-04T09:46:38.6689459Z >>> # of cross-host(dim 0), and within-host (dim 1). 2025-12-04T09:46:38.6690041Z >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T09:46:38.6690570Z >>> tp_mesh = mesh_2d["tp"] 2025-12-04T09:46:38.6690912Z >>> dp_mesh = mesh_2d["dp"] 2025-12-04T09:46:38.6691228Z >>> 2025-12-04T09:46:38.6691474Z >>> # Initialize a 3D mesh. 2025-12-04T09:46:38.6691999Z >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp")) 2025-12-04T09:46:38.6692802Z >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh. 2025-12-04T09:46:38.6693419Z >>> dp_cp_mesh = mesh_3d["dp", "cp"] 2025-12-04T09:46:38.6693784Z >>> cp_dp_mesh = mesh_3d["cp", "dp"] 2025-12-04T09:46:38.6694119Z 2025-12-04T09:46:38.6695033Z Original Error: SyntaxError('positional argument follows keyword argument', ('', 6, 82, 'mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))\n', 6, 83)) 2025-12-04T09:46:38.6696036Z 2025-12-04T09:46:38.6696424Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T09:46:38.6696983Z ^ 2025-12-04T09:46:38.6697373Z warnings.warn(msg) 2025-12-04T09:46:38.6697642Z 2025-12-04T09:46:38.6698003Z --- Parse Warning: 13 / 17 --- 2025-12-04T09:46:38.6699404Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=SavePlanner in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/planner.py line=122. 2025-12-04T09:46:38.6701275Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:46:38.6701784Z 2025-12-04T09:46:38.6702240Z Abstract class defining the protocol used by save_state_dict to plan the save process. 2025-12-04T09:46:38.6702800Z 2025-12-04T09:46:38.6703247Z SavePlanners are stateful objects that can be used to customize the whole save process. 2025-12-04T09:46:38.6703815Z 2025-12-04T09:46:38.6704256Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T09:46:38.6704830Z will be visible to the whole process. 2025-12-04T09:46:38.6705175Z 2025-12-04T09:46:38.6705612Z A planner subclass can expect the following sequence of calls during save_state_dict: 2025-12-04T09:46:38.6706158Z 2025-12-04T09:46:38.6706401Z 1) set_up_planner - called on all ranks. 2025-12-04T09:46:38.6706803Z Signals the start of a checkpoint save. 2025-12-04T09:46:38.6707165Z 2025-12-04T09:46:38.6707415Z 2) create_local_plan - called on all ranks. 2025-12-04T09:46:38.6708011Z Process the state_dict and produces a `SavePlan` that will be sent for global planning. 2025-12-04T09:46:38.6708566Z 2025-12-04T09:46:38.6708883Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T09:46:38.6709444Z Takes the SavePlan from all ranks and make any global decision. 2025-12-04T09:46:38.6709895Z 2025-12-04T09:46:38.6710128Z 4) finish_plan - called on all ranks. 2025-12-04T09:46:38.6710621Z This gives each rank a chance to adjust to global planning decisions. 2025-12-04T09:46:38.6711089Z 2025-12-04T09:46:38.6711384Z 5) resolve_data - called multiple times on each rank 2025-12-04T09:46:38.6711906Z Lookups a value on the `state_dict` for the storage layer to write. 2025-12-04T09:46:38.6712361Z 2025-12-04T09:46:38.6712979Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as 2025-12-04T09:46:38.6713664Z most changes can be expressed by changes in a single method. 2025-12-04T09:46:38.6714183Z 2025-12-04T09:46:38.6714447Z There are 3 usual patterns of extension: 2025-12-04T09:46:38.6714787Z 2025-12-04T09:46:38.6715201Z Rewriting state_dict. This is the simplest way to extend the save process as it 2025-12-04T09:46:38.6715957Z doesn't requite understanding the intrincacies of how SavePlan works: 2025-12-04T09:46:38.6716441Z 2025-12-04T09:46:38.6716681Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:46:38.6717086Z >>> class RenamePlanner(DefaultSavePlanner): 2025-12-04T09:46:38.6717477Z >>> def set_up_planner( 2025-12-04T09:46:38.6717767Z >>> self, 2025-12-04T09:46:38.6718061Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T09:46:38.6718450Z >>> storage_meta: Optional[StorageMeta], 2025-12-04T09:46:38.6718830Z >>> is_coordinator: bool, 2025-12-04T09:46:38.6719167Z >>> ) -> None: 2025-12-04T09:46:38.6719457Z >>> # prefix all keys with `foo_`` 2025-12-04T09:46:38.6720025Z >>> super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator) 2025-12-04T09:46:38.6720580Z 2025-12-04T09:46:38.6721083Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted 2025-12-04T09:46:38.6721688Z 2025-12-04T09:46:38.6721927Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:46:38.6722326Z >>> class FP16Planner(DefaultSavePlanner): 2025-12-04T09:46:38.6722714Z >>> def create_local_plan(self): 2025-12-04T09:46:38.6723086Z >>> plan = super().create_local_plan() 2025-12-04T09:46:38.6723457Z >>> for p in plan: 2025-12-04T09:46:38.6723790Z >>> if p.tensor_data is not None: 2025-12-04T09:46:38.6724220Z >>> p.tensor_data.properties.dtype = torch.float16 2025-12-04T09:46:38.6724641Z >>> return plan 2025-12-04T09:46:38.6724932Z >>> 2025-12-04T09:46:38.6725181Z >>> def resolve_data(self, write_item): 2025-12-04T09:46:38.6725588Z >>> item = super().resolve_data(write_item) 2025-12-04T09:46:38.6726172Z >>> return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16) 2025-12-04T09:46:38.6726716Z 2025-12-04T09:46:38.6727217Z Using the global planning step to make central decisions that can't be made individually by each rank 2025-12-04T09:46:38.6727830Z 2025-12-04T09:46:38.6728080Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:46:38.6728451Z >>> from itertools import zip_longest 2025-12-04T09:46:38.6728825Z >>> from dataclasses import replace 2025-12-04T09:46:38.6729262Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner): 2025-12-04T09:46:38.6729886Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0 2025-12-04T09:46:38.6730486Z >>> # This sample doesn't handle ShardedTensors 2025-12-04T09:46:38.6730909Z >>> def create_global_plan(self, all_plans): 2025-12-04T09:46:38.6731354Z >>> iters = [iter(all_plans[0].items)] * len(all_plans) 2025-12-04T09:46:38.6731759Z >>> items_per_rank = [ 2025-12-04T09:46:38.6732133Z >>> [item for item in items if item is not None] 2025-12-04T09:46:38.6732601Z >>> for items in zip(*zip_longest(*iters), strict=True) 2025-12-04T09:46:38.6732996Z >>> ] 2025-12-04T09:46:38.6733255Z >>> all_plans = [ 2025-12-04T09:46:38.6733589Z >>> replace(plan, items=items) 2025-12-04T09:46:38.6734050Z >>> for plan, items in zip(all_plans, items_per_rank, strict=True) 2025-12-04T09:46:38.6734498Z >>> ] 2025-12-04T09:46:38.6734811Z >>> return super().create_global_plan(all_plans) 2025-12-04T09:46:38.6735191Z 2025-12-04T09:46:38.6735694Z Finally, some planners need to save additional metadata in the checkpoint, this is 2025-12-04T09:46:38.6736449Z accomplished by having each rank contribute their data items in the local plan and 2025-12-04T09:46:38.6737112Z the global planner aggregate them: 2025-12-04T09:46:38.6737436Z 2025-12-04T09:46:38.6737685Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:46:38.6738118Z >>> class SaveExtraDataPlanner(DefaultSavePlanner): 2025-12-04T09:46:38.6738560Z >>> def create_local_plan(self) -> SavePlan: 2025-12-04T09:46:38.6738971Z >>> plan = super().create_local_plan() 2025-12-04T09:46:38.6739420Z >>> return replace(plan, planner_data="per-rank-data") 2025-12-04T09:46:38.6739831Z >>> 2025-12-04T09:46:38.6740286Z >>> def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]: 2025-12-04T09:46:38.6740989Z >>> global_plan, metadata = super().create_global_plan(all_plans) 2025-12-04T09:46:38.6741529Z >>> merged_data = [p.planner_data for p in global_plan] 2025-12-04T09:46:38.6742024Z >>> metadata = replace(metadata, planner_data=merged_data) 2025-12-04T09:46:38.6742475Z >>> return global_plan, metadata 2025-12-04T09:46:38.6742817Z 2025-12-04T09:46:38.6743549Z Original Error: IndentationError('expected an indented block after function definition on line 3', ('', 9, 0, '_._ = None\n', 9, -1)) 2025-12-04T09:46:38.6744362Z 2025-12-04T09:46:38.6744575Z _._ = None 2025-12-04T09:46:38.6744807Z ^ 2025-12-04T09:46:38.6745029Z warnings.warn(msg) 2025-12-04T09:46:38.6745305Z 2025-12-04T09:46:38.6745677Z --- Parse Warning: 14 / 17 --- 2025-12-04T09:46:38.6747058Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=LoadPlanner in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/planner.py line=305. 2025-12-04T09:46:38.6748587Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:46:38.6749097Z 2025-12-04T09:46:38.6749545Z Abstract class defining the protocol used by load_state_dict to plan the load process. 2025-12-04T09:46:38.6750094Z 2025-12-04T09:46:38.6750540Z LoadPlanner are stateful objects that can be used to customize the whole load process. 2025-12-04T09:46:38.6751103Z 2025-12-04T09:46:38.6751535Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T09:46:38.6752120Z will be visible to the whole process. 2025-12-04T09:46:38.6752461Z 2025-12-04T09:46:38.6752889Z A planner subclass can expect the following sequence of calls during load_state_dict: 2025-12-04T09:46:38.6753430Z 2025-12-04T09:46:38.6753687Z 1) set_up_planner - called on all ranks. 2025-12-04T09:46:38.6754081Z Signals the start of loading a checkpoint. 2025-12-04T09:46:38.6754446Z 2025-12-04T09:46:38.6754707Z 2) create_local_plan - called on all ranks. 2025-12-04T09:46:38.6755393Z Process the state_dict and produces a `LoadPlan` that will be sent for global planning. 2025-12-04T09:46:38.6755942Z 2025-12-04T09:46:38.6756276Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T09:46:38.6756838Z Takes the LoadPlan from all ranks and make any global decision. 2025-12-04T09:46:38.6757275Z 2025-12-04T09:46:38.6757559Z 4) load_bytes - called multiple times on each rank 2025-12-04T09:46:38.6758043Z This is called once per non-tensor value in state_dict. 2025-12-04T09:46:38.6758144Z 2025-12-04T09:46:38.6758393Z 5) resolve_tensor and commit_tensor - called multiple times on each rank 2025-12-04T09:46:38.6758606Z They are called in pair for each Tensor value in state_dict. 2025-12-04T09:46:38.6758691Z 2025-12-04T09:46:38.6759035Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as 2025-12-04T09:46:38.6759342Z most changes can be expressed by changes in a single method. 2025-12-04T09:46:38.6759430Z 2025-12-04T09:46:38.6759569Z There are two usual patterns of extension: 2025-12-04T09:46:38.6759729Z 2025-12-04T09:46:38.6760018Z Rewriting state_dict. This is the simplest way to extend the load process as it 2025-12-04T09:46:38.6760307Z doesn't requite understanding the intrincacies of how LoadPlan works. We need 2025-12-04T09:46:38.6760578Z to keep a reference to the original state_dict as load happens in place so 2025-12-04T09:46:38.6760717Z we need to be able to perform it in place 2025-12-04T09:46:38.6760809Z 2025-12-04T09:46:38.6760933Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:46:38.6761084Z >>> class RenamePlanner(DefaultLoadPlanner): 2025-12-04T09:46:38.6761204Z >>> def set_up_planner( 2025-12-04T09:46:38.6761298Z >>> self, 2025-12-04T09:46:38.6761424Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T09:46:38.6761547Z >>> metadata: Metadata, 2025-12-04T09:46:38.6761668Z >>> is_coordinator: bool, 2025-12-04T09:46:38.6761764Z >>> ) -> None: 2025-12-04T09:46:38.6761914Z >>> self.original_state_dict = state_dict 2025-12-04T09:46:38.6762114Z >>> state_dict = {"foo_" + k: v for k, v in state_dict.items()} 2025-12-04T09:46:38.6762211Z >>> 2025-12-04T09:46:38.6762340Z >>> if self.flatten_sharded_tensors: 2025-12-04T09:46:38.6762510Z >>> state_dict = _flatten_sharded_tensors(state_dict) 2025-12-04T09:46:38.6762607Z >>> 2025-12-04T09:46:38.6762727Z >>> if self.flatten_state_dict: 2025-12-04T09:46:38.6762932Z >>> state_dict, self.mappings = flatten_state_dict(state_dict) 2025-12-04T09:46:38.6763029Z >>> 2025-12-04T09:46:38.6763150Z >>> self.state_dict = state_dict 2025-12-04T09:46:38.6763266Z >>> self.metadata = metadata 2025-12-04T09:46:38.6763417Z >>> self.is_coordinator = is_coordinator 2025-12-04T09:46:38.6763505Z >>> 2025-12-04T09:46:38.6763651Z >>> def load_bytes(self, read_item, value): 2025-12-04T09:46:38.6763764Z >>> # Remove the "foo_" prefix 2025-12-04T09:46:38.6764130Z >>> self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False) 2025-12-04T09:46:38.6764228Z 2025-12-04T09:46:38.6764313Z 2025-12-04T09:46:38.6764608Z Modifying resolve_tensor and commit_tensor to handle load time transformation. 2025-12-04T09:46:38.6764702Z 2025-12-04T09:46:38.6764825Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:46:38.6765002Z >>> class MetaModelMaterialize(DefaultSavePlanner): 2025-12-04T09:46:38.6765139Z >>> def resolve_tensor(self, read_item): 2025-12-04T09:46:38.6765285Z >>> tensor = super().resolve_tensor(read_item) 2025-12-04T09:46:38.6765457Z >>> return torch.empty_like(tensor, device="cpu") 2025-12-04T09:46:38.6765545Z >>> 2025-12-04T09:46:38.6765689Z >>> def commit_tensor(self, read_item, tensor): 2025-12-04T09:46:38.6765878Z >>> self.state_dict[read_item.dest_index.fqn] = tensor 2025-12-04T09:46:38.6765965Z 2025-12-04T09:46:38.6766577Z Original Error: IndentationError('expected an indented block after function definition on line 22', ('', 23, 0, '_._ = None\n', 23, -1)) 2025-12-04T09:46:38.6766675Z 2025-12-04T09:46:38.6766764Z _._ = None 2025-12-04T09:46:38.6766850Z ^ 2025-12-04T09:46:38.6766965Z warnings.warn(msg) 2025-12-04T09:46:38.6767050Z 2025-12-04T09:46:38.6767281Z --- Parse Warning: 15 / 17 --- 2025-12-04T09:46:38.6768397Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=FullStateDictConfig in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/api.py line=295. 2025-12-04T09:46:38.6768675Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:46:38.6768773Z 2025-12-04T09:46:38.6769062Z ``FullStateDictConfig`` is a config class meant to be used with 2025-12-04T09:46:38.6769285Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both 2025-12-04T09:46:38.6769583Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state 2025-12-04T09:46:38.6769828Z dicts to save GPU memory and CPU memory, respectively. This config class 2025-12-04T09:46:38.6770061Z is meant to be used via the :func:`state_dict_type` context manager as 2025-12-04T09:46:38.6770152Z follows: 2025-12-04T09:46:38.6770237Z 2025-12-04T09:46:38.6770393Z >>> # xdoctest: +SKIP("undefined variables") 2025-12-04T09:46:38.6770656Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-12-04T09:46:38.6770800Z >>> fsdp = FSDP(model, auto_wrap_policy=...) 2025-12-04T09:46:38.6771043Z >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True) 2025-12-04T09:46:38.6771292Z >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg): 2025-12-04T09:46:38.6771410Z >>> state = fsdp.state_dict() 2025-12-04T09:46:38.6771659Z >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0. 2025-12-04T09:46:38.6771927Z >>> # To reload checkpoint for inference, finetuning, transfer learning, etc: 2025-12-04T09:46:38.6772201Z >>> model = model_fn() # Initialize model in preparation for wrapping with FSDP 2025-12-04T09:46:38.6772312Z >>> if dist.get_rank() == 0: 2025-12-04T09:46:38.6772514Z >>> # Load checkpoint only on rank 0 to avoid memory redundancy 2025-12-04T09:46:38.6772680Z >>> state_dict = torch.load("my_checkpoint.pt") 2025-12-04T09:46:38.6772811Z >>> model.load_state_dict(state_dict) 2025-12-04T09:46:38.6773070Z >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument 2025-12-04T09:46:38.6773353Z >>> # communicates loaded checkpoint states from rank 0 to rest of the world. 2025-12-04T09:46:38.6773456Z >>> fsdp = FSDP( 2025-12-04T09:46:38.6773559Z ... model, 2025-12-04T09:46:38.6773707Z ... device_id=torch.cuda.current_device(), 2025-12-04T09:46:38.6773824Z ... auto_wrap_policy=..., 2025-12-04T09:46:38.6773949Z ... sync_module_states=True, 2025-12-04T09:46:38.6774040Z ... ) 2025-12-04T09:46:38.6774276Z >>> # After this point, all ranks have FSDP model with loaded checkpoint. 2025-12-04T09:46:38.6774373Z 2025-12-04T09:46:38.6774468Z Attributes: 2025-12-04T09:46:38.6774689Z rank0_only (bool): If ``True``, then only rank 0 saves the full state 2025-12-04T09:46:38.6774925Z dict, and nonzero ranks save an empty dict. If ``False``, then all 2025-12-04T09:46:38.6775099Z ranks save the full state dict. (Default: ``False``) 2025-12-04T09:46:38.6775201Z 2025-12-04T09:46:38.6775778Z Original Error: IndentationError("expected an indented block after 'if' statement on line 10", ('', 11, 1, '_._ = None\n', 11, 2)) 2025-12-04T09:46:38.6775863Z 2025-12-04T09:46:38.6775961Z _._ = None 2025-12-04T09:46:38.6776052Z ^ 2025-12-04T09:46:38.6776155Z warnings.warn(msg) 2025-12-04T09:46:38.6776253Z 2025-12-04T09:46:38.6776460Z --- Parse Warning: 16 / 17 --- 2025-12-04T09:46:38.6777575Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=register_parametrization in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrize.py line=437. 2025-12-04T09:46:38.6777863Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:46:38.6778035Z Register a parametrization to a tensor in a module. 2025-12-04T09:46:38.6778132Z 2025-12-04T09:46:38.6778447Z Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``, 2025-12-04T09:46:38.6778826Z the module will return the parametrized version ``parametrization(module.weight)``. 2025-12-04T09:46:38.6779134Z If the original tensor requires a gradient, the backward pass will differentiate 2025-12-04T09:46:38.6779524Z through :attr:`parametrization`, and the optimizer will update the tensor accordingly. 2025-12-04T09:46:38.6779626Z 2025-12-04T09:46:38.6779981Z The first time that a module registers a parametrization, this function will add an attribute 2025-12-04T09:46:38.6780261Z ``parametrizations`` to the module of type :class:`~ParametrizationList`. 2025-12-04T09:46:38.6780359Z 2025-12-04T09:46:38.6780646Z The list of parametrizations on the tensor ``weight`` will be accessible under 2025-12-04T09:46:38.6780791Z ``module.parametrizations.weight``. 2025-12-04T09:46:38.6780890Z 2025-12-04T09:46:38.6781044Z The original tensor will be accessible under 2025-12-04T09:46:38.6781211Z ``module.parametrizations.weight.original``. 2025-12-04T09:46:38.6781307Z 2025-12-04T09:46:38.6781610Z Parametrizations may be concatenated by registering several parametrizations 2025-12-04T09:46:38.6781733Z on the same attribute. 2025-12-04T09:46:38.6781824Z 2025-12-04T09:46:38.6782097Z The training mode of a registered parametrization is updated on registration 2025-12-04T09:46:38.6782259Z to match the training mode of the host module 2025-12-04T09:46:38.6782349Z 2025-12-04T09:46:38.6782692Z Parametrized parameters and buffers have an inbuilt caching system that can be activated 2025-12-04T09:46:38.6782840Z using the context manager :func:`cached`. 2025-12-04T09:46:38.6782928Z 2025-12-04T09:46:38.6783199Z A :attr:`parametrization` may optionally implement a method with signature 2025-12-04T09:46:38.6783293Z 2025-12-04T09:46:38.6783414Z .. code-block:: python 2025-12-04T09:46:38.6783511Z 2025-12-04T09:46:38.6783751Z def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]] 2025-12-04T09:46:38.6783846Z 2025-12-04T09:46:38.6784152Z This method is called on the unparametrized tensor when the first parametrization 2025-12-04T09:46:38.6784390Z is registered to compute the initial value of the original tensor. 2025-12-04T09:46:38.6784740Z If this method is not implemented, the original tensor will be just the unparametrized tensor. 2025-12-04T09:46:38.6784837Z 2025-12-04T09:46:38.6785189Z If all the parametrizations registered on a tensor implement `right_inverse` it is possible 2025-12-04T09:46:38.6785531Z to initialize a parametrized tensor by assigning to it, as shown in the example below. 2025-12-04T09:46:38.6785617Z 2025-12-04T09:46:38.6785869Z It is possible for the first parametrization to depend on several inputs. 2025-12-04T09:46:38.6786149Z This may be implemented returning a tuple of tensors from ``right_inverse`` 2025-12-04T09:46:38.6786418Z (see the example implementation of a ``RankOne`` parametrization below). 2025-12-04T09:46:38.6786506Z 2025-12-04T09:46:38.6786893Z In this case, the unconstrained tensors are also located under ``module.parametrizations.weight`` 2025-12-04T09:46:38.6787036Z with names ``original0``, ``original1``,... 2025-12-04T09:46:38.6787121Z 2025-12-04T09:46:38.6787224Z .. note:: 2025-12-04T09:46:38.6787310Z 2025-12-04T09:46:38.6787619Z If unsafe=False (default) both the forward and right_inverse methods will be called 2025-12-04T09:46:38.6787783Z once to perform a number of consistency checks. 2025-12-04T09:46:38.6788087Z If unsafe=True, then right_inverse will be called if the tensor is not parametrized, 2025-12-04T09:46:38.6788229Z and nothing will be called otherwise. 2025-12-04T09:46:38.6788313Z 2025-12-04T09:46:38.6788409Z .. note:: 2025-12-04T09:46:38.6788505Z 2025-12-04T09:46:38.6788736Z In most situations, ``right_inverse`` will be a function such that 2025-12-04T09:46:38.6788946Z ``forward(right_inverse(X)) == X`` (see 2025-12-04T09:46:38.6789297Z `right inverse `_). 2025-12-04T09:46:38.6789649Z Sometimes, when the parametrization is not surjective, it may be reasonable 2025-12-04T09:46:38.6789763Z to relax this. 2025-12-04T09:46:38.6789846Z 2025-12-04T09:46:38.6789942Z .. warning:: 2025-12-04T09:46:38.6790042Z 2025-12-04T09:46:38.6790355Z If a parametrization depends on several inputs, :func:`~register_parametrization` 2025-12-04T09:46:38.6790648Z will register a number of new parameters. If such parametrization is registered 2025-12-04T09:46:38.6790966Z after the optimizer is created, these new parameters will need to be added manually 2025-12-04T09:46:38.6791184Z to the optimizer. See :meth:`torch.Optimizer.add_param_group`. 2025-12-04T09:46:38.6791281Z 2025-12-04T09:46:38.6791371Z Args: 2025-12-04T09:46:38.6791606Z module (nn.Module): module on which to register the parametrization 2025-12-04T09:46:38.6791862Z tensor_name (str): name of the parameter or buffer on which to register 2025-12-04T09:46:38.6791975Z the parametrization 2025-12-04T09:46:38.6792203Z parametrization (nn.Module): the parametrization to register 2025-12-04T09:46:38.6792314Z Keyword args: 2025-12-04T09:46:38.6792556Z unsafe (bool): a boolean flag that denotes whether the parametrization 2025-12-04T09:46:38.6792772Z may change the dtype and shape of the tensor. Default: `False` 2025-12-04T09:46:38.6793088Z Warning: the parametrization is not checked for consistency upon registration. 2025-12-04T09:46:38.6793216Z Enable this flag at your own risk. 2025-12-04T09:46:38.6793313Z 2025-12-04T09:46:38.6793403Z Raises: 2025-12-04T09:46:38.6793730Z ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name` 2025-12-04T09:46:38.6793830Z 2025-12-04T09:46:38.6793923Z Examples: 2025-12-04T09:46:38.6794090Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK) 2025-12-04T09:46:38.6794204Z >>> import torch 2025-12-04T09:46:38.6794318Z >>> import torch.nn as nn 2025-12-04T09:46:38.6794468Z >>> import torch.nn.utils.parametrize as P 2025-12-04T09:46:38.6794569Z >>> 2025-12-04T09:46:38.6794688Z >>> class Symmetric(nn.Module): 2025-12-04T09:46:38.6794811Z >>> def forward(self, X): 2025-12-04T09:46:38.6795011Z >>> return X.triu() + X.triu(1).T # Return a symmetric matrix 2025-12-04T09:46:38.6795098Z >>> 2025-12-04T09:46:38.6795232Z >>> def right_inverse(self, A): 2025-12-04T09:46:38.6795426Z >>> return A.triu() 2025-12-04T09:46:38.6795515Z >>> 2025-12-04T09:46:38.6795638Z >>> m = nn.Linear(5, 5) 2025-12-04T09:46:38.6795830Z >>> P.register_parametrization(m, "weight", Symmetric()) 2025-12-04T09:46:38.6796107Z >>> print(torch.allclose(m.weight, m.weight.T)) # m.weight is now symmetric 2025-12-04T09:46:38.6796212Z True 2025-12-04T09:46:38.6796322Z >>> A = torch.rand(5, 5) 2025-12-04T09:46:38.6796455Z >>> A = A + A.T # A is now symmetric 2025-12-04T09:46:38.6796678Z >>> m.weight = A # Initialize the weight to be the symmetric matrix A 2025-12-04T09:46:38.6796812Z >>> print(torch.allclose(m.weight, A)) 2025-12-04T09:46:38.6796914Z True 2025-12-04T09:46:38.6797001Z 2025-12-04T09:46:38.6797117Z >>> class RankOne(nn.Module): 2025-12-04T09:46:38.6797251Z >>> def forward(self, x, y): 2025-12-04T09:46:38.6797410Z >>> # Form a rank 1 matrix multiplying two vectors 2025-12-04T09:46:38.6797626Z >>> return x.unsqueeze(-1) @ y.unsqueeze(-2) 2025-12-04T09:46:38.6797726Z >>> 2025-12-04T09:46:38.6797852Z >>> def right_inverse(self, Z): 2025-12-04T09:46:38.6798051Z >>> # Project Z onto the rank 1 matrices 2025-12-04T09:46:38.6798223Z >>> U, S, Vh = torch.linalg.svd(Z, full_matrices=False) 2025-12-04T09:46:38.6798354Z >>> # Return rescaled singular vectors 2025-12-04T09:46:38.6798501Z >>> s0_sqrt = S[0].sqrt().unsqueeze(-1) 2025-12-04T09:46:38.6798666Z >>> return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt 2025-12-04T09:46:38.6798756Z >>> 2025-12-04T09:46:38.6798935Z >>> linear_rank_one = P.register_parametrization( 2025-12-04T09:46:38.6799072Z ... nn.Linear(4, 4), "weight", RankOne() 2025-12-04T09:46:38.6799161Z ... ) 2025-12-04T09:46:38.6799399Z >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item()) 2025-12-04T09:46:38.6799488Z 1 2025-12-04T09:46:38.6799593Z 2025-12-04T09:46:38.6799681Z 2025-12-04T09:46:38.6800486Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 3, 0, '_._ = None\n', 3, -1)) 2025-12-04T09:46:38.6800593Z 2025-12-04T09:46:38.6800683Z _._ = None 2025-12-04T09:46:38.6800772Z ^ 2025-12-04T09:46:38.6800892Z warnings.warn(msg) 2025-12-04T09:46:38.6800978Z 2025-12-04T09:46:38.6801215Z --- Parse Warning: 17 / 17 --- 2025-12-04T09:46:38.6802312Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=ReduceLROnPlateau in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py line=1586. 2025-12-04T09:46:38.6802588Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:46:38.6802800Z Reduce learning rate when a metric has stopped improving. 2025-12-04T09:46:38.6802885Z 2025-12-04T09:46:38.6803116Z Models often benefit from reducing the learning rate by a factor 2025-12-04T09:46:38.6803337Z of 2-10 once learning stagnates. This scheduler reads a metrics 2025-12-04T09:46:38.6803554Z quantity and if no improvement is seen for a 'patience' number 2025-12-04T09:46:38.6803690Z of epochs, the learning rate is reduced. 2025-12-04T09:46:38.6803791Z 2025-12-04T09:46:38.6803876Z Args: 2025-12-04T09:46:38.6804037Z optimizer (Optimizer): Wrapped optimizer. 2025-12-04T09:46:38.6804209Z mode (str): One of `min`, `max`. In `min` mode, lr will 2025-12-04T09:46:38.6804380Z be reduced when the quantity monitored has stopped 2025-12-04T09:46:38.6804577Z decreasing; in `max` mode it will be reduced when the 2025-12-04T09:46:38.6804793Z quantity monitored has stopped increasing. Default: 'min'. 2025-12-04T09:46:38.6804986Z factor (float): Factor by which the learning rate will be 2025-12-04T09:46:38.6805150Z reduced. new_lr = lr * factor. Default: 0.1. 2025-12-04T09:46:38.6805398Z patience (int): The number of allowed epochs with no improvement after 2025-12-04T09:46:38.6805559Z which the learning rate will be reduced. 2025-12-04T09:46:38.6805815Z For example, consider the case of having no patience (`patience = 0`). 2025-12-04T09:46:38.6806232Z In the first epoch, a baseline is established and is always considered good as there's no previous baseline. 2025-12-04T09:46:38.6806471Z In the second epoch, if the performance is worse than the baseline, 2025-12-04T09:46:38.6806640Z we have what is considered an intolerable epoch. 2025-12-04T09:46:38.6806940Z Since the count of intolerable epochs (1) is greater than the patience level (0), 2025-12-04T09:46:38.6807137Z the learning rate is reduced at the end of this epoch. 2025-12-04T09:46:38.6807615Z From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch 2025-12-04T09:46:38.6808069Z if the performance is worse than the baseline. If the performance improves or remains the same, 2025-12-04T09:46:38.6808202Z the learning rate is not adjusted. 2025-12-04T09:46:38.6808308Z Default: 10. 2025-12-04T09:46:38.6808533Z threshold (float): Threshold for measuring the new optimum, 2025-12-04T09:46:38.6808709Z to only focus on significant changes. Default: 1e-4. 2025-12-04T09:46:38.6808904Z threshold_mode (str): One of `rel`, `abs`. In `rel` mode, 2025-12-04T09:46:38.6809092Z dynamic_threshold = best * ( 1 + threshold ) in 'max' 2025-12-04T09:46:38.6809250Z mode or best * ( 1 - threshold ) in `min` mode. 2025-12-04T09:46:38.6809433Z In `abs` mode, dynamic_threshold = best + threshold in 2025-12-04T09:46:38.6809639Z `max` mode or best - threshold in `min` mode. Default: 'rel'. 2025-12-04T09:46:38.6809829Z cooldown (int): Number of epochs to wait before resuming 2025-12-04T09:46:38.6810039Z normal operation after lr has been reduced. Default: 0. 2025-12-04T09:46:38.6810223Z min_lr (float or list): A scalar or a list of scalars. A 2025-12-04T09:46:38.6810400Z lower bound on the learning rate of all param groups 2025-12-04T09:46:38.6810558Z or each group respectively. Default: 0. 2025-12-04T09:46:38.6810756Z eps (float): Minimal decay applied to lr. If the difference 2025-12-04T09:46:38.6810967Z between new and old lr is smaller than eps, the update is 2025-12-04T09:46:38.6811083Z ignored. Default: 1e-8. 2025-12-04T09:46:38.6811168Z 2025-12-04T09:46:38.6811269Z Example: 2025-12-04T09:46:38.6811375Z >>> # xdoctest: +SKIP 2025-12-04T09:46:38.6811638Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9) 2025-12-04T09:46:38.6811820Z >>> scheduler = ReduceLROnPlateau(optimizer, "min") 2025-12-04T09:46:38.6811934Z >>> for epoch in range(10): 2025-12-04T09:46:38.6812048Z >>> train(...) 2025-12-04T09:46:38.6812168Z >>> val_loss = validate(...) 2025-12-04T09:46:38.6812334Z >>> # Note that step should be called after validate() 2025-12-04T09:46:38.6812473Z >>> scheduler.step(val_loss) 2025-12-04T09:46:38.6812556Z 2025-12-04T09:46:38.6812773Z .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png 2025-12-04T09:46:38.6812874Z 2025-12-04T09:46:38.6813346Z Original Error: IndentationError('unexpected indent', ('', 8, 4, ' scheduler.step(val_loss)\n', 8, -1)) 2025-12-04T09:46:38.6813433Z 2025-12-04T09:46:38.6813560Z scheduler.step(val_loss) 2025-12-04T09:46:38.6813655Z ^ 2025-12-04T09:46:38.6813763Z warnings.warn(msg) 2025-12-04T09:46:38.6813848Z 2025-12-04T09:46:38.6813981Z  2025-12-04T09:46:38.6814181Z === Found 10 run-time warnings === 2025-12-04T09:46:38.6814381Z --- Runtime Warning: 1 / 10 --- 2025-12-04T09:46:38.6814609Z example = 2025-12-04T09:46:38.6816293Z :3: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage() 2025-12-04T09:46:38.6816387Z 2025-12-04T09:46:38.6816586Z --- Runtime Warning: 2 / 10 --- 2025-12-04T09:46:38.6816882Z example = 2025-12-04T09:46:38.6818502Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py:1392: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /var/lib/jenkins/workspace/c10/core/TensorImpl.h:1973.) 2025-12-04T09:46:38.6818688Z return super().refine_names(names) 2025-12-04T09:46:38.6818779Z 2025-12-04T09:46:38.6818980Z --- Runtime Warning: 3 / 10 --- 2025-12-04T09:46:38.6819327Z example = 2025-12-04T09:46:38.6820051Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py:275: UserWarning: Warning only once for all operators, other operators may also be overridden. 2025-12-04T09:46:38.6820406Z Overriding a previously registered kernel for the same operator and the same dispatch key 2025-12-04T09:46:38.6820645Z operator: aten::div.Tensor(Tensor self, Tensor other) -> Tensor 2025-12-04T09:46:38.6820983Z registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSchema.cpp:6 2025-12-04T09:46:38.6821089Z dispatch key: CPU 2025-12-04T09:46:38.6821593Z previous kernel: registered at /var/lib/jenkins/workspace/aten/src/ATen/LegacyBatchingRegistrations.cpp:1079 2025-12-04T09:46:38.6822739Z new kernel: registered at :1 (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/core/dispatch/OperatorEntry.cpp:208.) 2025-12-04T09:46:38.6822926Z impl_fn(self.ns, name.split("::")[-1], dispatch_key) 2025-12-04T09:46:38.6823009Z 2025-12-04T09:46:38.6823209Z --- Runtime Warning: 4 / 10 --- 2025-12-04T09:46:38.6823486Z example = 2025-12-04T09:46:38.6825616Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py:117: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. We recommend specifying layout=torch.jagged when constructing a nested tensor, as this layout receives active development, has better operator coverage, and works with torch.compile. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:178.) 2025-12-04T09:46:38.6825908Z return torch._nested_tensor_from_tensor_list(ts, dtype, None, device, None) 2025-12-04T09:46:38.6825992Z 2025-12-04T09:46:38.6826189Z --- Runtime Warning: 5 / 10 --- 2025-12-04T09:46:38.6826488Z example = 2025-12-04T09:46:38.6828356Z :1: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/SparseCsrTensorImpl.cpp:53.) 2025-12-04T09:46:38.6828457Z 2025-12-04T09:46:38.6828651Z --- Runtime Warning: 6 / 10 --- 2025-12-04T09:46:38.6829002Z example = 2025-12-04T09:46:38.6830738Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/const_fold.py:314: UserWarning: Attempted to insert a get_attr Node with no underlying reference in the owning GraphModule! Call GraphModule.add_submodule to add the necessary submodule, GraphModule.add_parameter to add the necessary Parameter, or nn.Module.register_buffer to add the necessary buffer 2025-12-04T09:46:38.6830921Z new_node = root_const_gm.graph.get_attr(in_node.target) 2025-12-04T09:46:38.6831010Z 2025-12-04T09:46:38.6831206Z --- Runtime Warning: 7 / 10 --- 2025-12-04T09:46:38.6831617Z example = 2025-12-04T09:46:38.6832877Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance) 2025-12-04T09:46:38.6833066Z self.encoder = TransformerEncoder( 2025-12-04T09:46:38.6833160Z 2025-12-04T09:46:38.6833356Z --- Runtime Warning: 8 / 10 --- 2025-12-04T09:46:38.6833737Z example = 2025-12-04T09:46:38.6835145Z :2: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance) 2025-12-04T09:46:38.6835231Z 2025-12-04T09:46:38.6835521Z --- Runtime Warning: 9 / 10 --- 2025-12-04T09:46:38.6835835Z example = 2025-12-04T09:46:38.6836783Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py:144: FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`. 2025-12-04T09:46:38.6836914Z WeightNorm.apply(module, name, dim) 2025-12-04T09:46:38.6836997Z 2025-12-04T09:46:38.6837203Z --- Runtime Warning: 10 / 10 --- 2025-12-04T09:46:38.6837548Z example = 2025-12-04T09:46:38.6838479Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py:144: FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`. 2025-12-04T09:46:38.6838625Z WeightNorm.apply(module, name, dim) 2025-12-04T09:46:38.6838710Z 2025-12-04T09:46:38.6839055Z === 378 passed, 516 skipped, 27 warnings in 22.38 seconds === 2025-12-04T09:46:38.6839318Z Finished doctests 1/1 ... [2025-12-04 09:46:38.631037][1999.181005054], took 0.37min 2025-12-04T09:46:38.6839623Z Running inductor/test_cutlass_backend 1/1 ... [2025-12-04 09:46:38.632877][1999.182854883] 2025-12-04T09:46:38.6839751Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:46:38.6840980Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cutlass_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 09:46:38.633257] 2025-12-04T09:46:48.2276379Z 2025-12-04T09:46:48.2277976Z inductor/test_cutlass_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cutlass_backend_1.1_e966301712f5c1ff_.log 2025-12-04T09:46:48.2279418Z 2025-12-04T09:46:48.2280054Z Finished inductor/test_cutlass_backend 1/1 ... [2025-12-04 09:46:48.227589][2008.777563484], took 0.16min 2025-12-04T09:46:48.2295872Z Running inductor/test_benchmark_fusion 1/1 ... [2025-12-04 09:46:48.229357][2008.77933427] 2025-12-04T09:46:48.2296631Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:46:48.2299906Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_benchmark_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 09:46:48.229743] 2025-12-04T09:47:00.6884300Z 2025-12-04T09:47:00.6885559Z inductor/test_benchmark_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_benchmark_fusion_1.1_6bc3196245c34044_.log 2025-12-04T09:47:00.6939045Z Running 100 items in this shard: test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkFusionGpuTest::test_tield_kernel_fusion_cuda, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code, test/inductor/test_benchmark_fusion.py::BenchmarkMultiTemplateFusionGpuTest::test_equivalent_template_code 2025-12-04T09:47:00.6991207Z 2025-12-04T09:47:00.6991592Z Finished inductor/test_benchmark_fusion 1/1 ... [2025-12-04 09:47:00.688424][2021.238396556], took 0.21min 2025-12-04T09:47:00.6992971Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_benchmark_fusion/inductor.test_benchmark_fusion-309f4bfaae8bff10.xml 2025-12-04T09:47:00.7682203Z Running inductor/test_distributed_patterns 1/1 ... [2025-12-04 09:47:00.767931][2021.317906158] 2025-12-04T09:47:00.7682818Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:47:00.7685948Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_distributed_patterns.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 09:47:00.768331] 2025-12-04T09:47:10.4074086Z 2025-12-04T09:47:10.4075373Z inductor/test_distributed_patterns 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_distributed_patterns_1.1_4024b9c628c7df1a_.log 2025-12-04T09:47:10.4076422Z Running 0 items in this shard: 2025-12-04T09:47:10.4076672Z 2025-12-04T09:47:10.4077078Z Finished inductor/test_distributed_patterns 1/1 ... [2025-12-04 09:47:10.407197][2030.957173159], took 0.16min 2025-12-04T09:47:10.4089465Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_distributed_patterns/inductor.test_distributed_patterns-7c41593eb96183cf.xml 2025-12-04T09:47:10.4857610Z Running dynamo/test_fake_distributed 1/1 ... [2025-12-04 09:47:10.485488][2031.035461799] 2025-12-04T09:47:10.4858222Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:47:10.4862118Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_fake_distributed.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 09:47:10.485905] 2025-12-04T09:47:15.4947272Z 2025-12-04T09:47:15.4948346Z dynamo/test_fake_distributed 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_fake_distributed_1.1_e75341774c7ec02e_.log 2025-12-04T09:47:15.4949604Z Running 0 items in this shard: 2025-12-04T09:47:15.4949839Z 2025-12-04T09:47:15.4950209Z Finished dynamo/test_fake_distributed 1/1 ... [2025-12-04 09:47:15.494539][2036.044513747], took 0.08min 2025-12-04T09:47:15.4964472Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_fake_distributed/dynamo.test_fake_distributed-68e44ac3b7bf5bcd.xml 2025-12-04T09:47:15.5215786Z Running test_sort_and_select 1/1 ... [2025-12-04 09:47:15.521354][2036.07132852] 2025-12-04T09:47:15.5216326Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:47:15.5220147Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_sort_and_select.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 09:47:15.521748] 2025-12-04T09:47:22.7241364Z 2025-12-04T09:47:22.7242380Z test_sort_and_select 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sort_and_select_1.1_e33e9553c01ac06d_.log 2025-12-04T09:47:22.7243277Z Running 0 items in this shard: 2025-12-04T09:47:22.7243506Z 2025-12-04T09:47:22.7243834Z Finished test_sort_and_select 1/1 ... [2025-12-04 09:47:22.723947][2043.273920107], took 0.12min 2025-12-04T09:47:22.7260772Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_sort_and_select/test_sort_and_select-61d9563780c78db4.xml 2025-12-04T09:47:22.7949560Z Running test_cpp_api_parity 1/1 ... [2025-12-04 09:47:22.794624][2043.344597637] 2025-12-04T09:47:22.7950122Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:47:22.7953042Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cpp_api_parity.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 09:47:22.795021] 2025-12-04T09:47:34.3508103Z 2025-12-04T09:47:34.3509072Z test_cpp_api_parity 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_api_parity_1.1_36883be26322b99b_.log 2025-12-04T09:47:34.3509933Z Running 0 items in this shard: 2025-12-04T09:47:34.3510148Z 2025-12-04T09:47:34.3510471Z Finished test_cpp_api_parity 1/1 ... [2025-12-04 09:47:34.350603][2054.900577218], took 0.19min 2025-12-04T09:47:34.3528548Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_api_parity/test_cpp_api_parity-1d5a67f6a3a44ffc.xml 2025-12-04T09:47:34.4307958Z Running test_extension_utils 1/1 ... [2025-12-04 09:47:34.430493][2054.98046675] 2025-12-04T09:47:34.4308497Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:47:34.4311471Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_extension_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 09:47:34.430895] 2025-12-04T09:47:38.9407244Z 2025-12-04T09:47:38.9408312Z test_extension_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_extension_utils_1.1_0ae770e0448d7696_.log 2025-12-04T09:47:38.9409184Z Running 0 items in this shard: 2025-12-04T09:47:38.9409395Z 2025-12-04T09:47:38.9409706Z Finished test_extension_utils 1/1 ... [2025-12-04 09:47:38.940563][2059.490538893], took 0.08min 2025-12-04T09:47:38.9429089Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_extension_utils/test_extension_utils-d9c6eb610decd04c.xml 2025-12-04T09:47:38.9744972Z Running test_show_pickle 1/1 ... [2025-12-04 09:47:38.974309][2059.524284752] 2025-12-04T09:47:38.9745676Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:47:38.9749105Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_show_pickle.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 09:47:38.974671] 2025-12-04T09:47:43.4675067Z 2025-12-04T09:47:43.4676219Z test_show_pickle 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_show_pickle_1.1_fd1e9aa39ebd4c64_.log 2025-12-04T09:47:43.4677073Z Running 0 items in this shard: 2025-12-04T09:47:43.4677293Z 2025-12-04T09:47:43.4677608Z Finished test_show_pickle 1/1 ... [2025-12-04 09:47:43.467345][2064.017320832], took 0.07min 2025-12-04T09:47:43.4698393Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_show_pickle/test_show_pickle-5697636195b6c742.xml 2025-12-04T09:47:43.4963956Z Running test_torch 1/1 ... [2025-12-04 09:47:43.496192][2064.046168068] 2025-12-04T09:47:43.4964473Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:47:43.4968295Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_torch.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 09:47:43.496571] 2025-12-04T09:48:12.1794363Z 2025-12-04T09:48:12.1795255Z PRINTING LOG FILE of test_torch 1/1 (test/test-reports/test_torch_1.1_dd679a45e552220d_.log) 2025-12-04T09:48:12.1796443Z Test results will be stored in test-reports/python-pytest/test_torch/test_torch-337c097c1aed7e00.xml 2025-12-04T09:48:12.1797197Z ============================= test session starts ============================== 2025-12-04T09:48:12.1797914Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T09:48:12.1798526Z cachedir: .pytest_cache 2025-12-04T09:48:12.1799250Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T09:48:12.1800021Z rootdir: /var/lib/jenkins/workspace 2025-12-04T09:48:12.1800543Z configfile: pytest.ini 2025-12-04T09:48:12.1801281Z 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 2025-12-04T09:48:12.1802067Z collecting ... collected 976 items 2025-12-04T09:48:12.1802492Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T09:48:12.1841518Z Running 150 items in this shard: test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup 2025-12-04T09:48:12.1880136Z 2025-12-04T09:48:12.1880432Z test_torch.py::TestTorch::test_index_add_correctness PASSED [0.6863s] [ 0%] 2025-12-04T09:48:12.1881541Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0009s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 1%] 2025-12-04T09:48:12.1883129Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0008s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.1884309Z test_torch.py::TestTorch::test_index_add_correctness FAILED [0.3319s] [ 2%] 2025-12-04T09:48:12.1885004Z test_torch.py::TestTorch::test_index_add_correctness PASSED [0.4353s] [ 2%] 2025-12-04T09:48:12.1885692Z test_torch.py::TestTorch::test_index_add_correctness PASSED [0.4150s] [ 2%] 2025-12-04T09:48:12.1886360Z test_torch.py::TestTorch::test_index_add_correctness FAILED [0.1788s] [ 2%] 2025-12-04T09:48:12.1887105Z test_torch.py::TestTorch::test_index_add_correctness FAILED [0.1553s] [ 2%] 2025-12-04T09:48:12.1887805Z test_torch.py::TestTorch::test_index_add_correctness FAILED [0.1563s] [ 2%] 2025-12-04T09:48:12.1888546Z test_torch.py::TestTorch::test_index_add_correctness FAILED [0.1641s] [ 2%] 2025-12-04T09:48:12.1889231Z test_torch.py::TestTorch::test_index_add_correctness PASSED [0.4266s] [ 2%] 2025-12-04T09:48:12.1889908Z test_torch.py::TestTorch::test_index_add_correctness PASSED [0.4233s] [ 2%] 2025-12-04T09:48:12.1890595Z test_torch.py::TestTorch::test_index_add_correctness PASSED [0.4170s] [ 2%] 2025-12-04T09:48:12.1891284Z test_torch.py::TestTorch::test_index_add_correctness PASSED [0.4027s] [ 2%] 2025-12-04T09:48:12.1891970Z test_torch.py::TestTorch::test_index_add_correctness PASSED [0.4035s] [ 2%] 2025-12-04T09:48:12.1892641Z test_torch.py::TestTorch::test_index_add_correctness PASSED [0.4306s] [ 2%] 2025-12-04T09:48:12.1893332Z test_torch.py::TestTorch::test_index_add_correctness PASSED [0.4237s] [ 2%] 2025-12-04T09:48:12.1894022Z test_torch.py::TestTorch::test_index_add_correctness PASSED [0.4282s] [ 2%] 2025-12-04T09:48:12.1894699Z test_torch.py::TestTorch::test_index_add_correctness FAILED [0.1682s] [ 2%] 2025-12-04T09:48:12.1895384Z test_torch.py::TestTorch::test_index_add_correctness PASSED [0.4400s] [ 2%] 2025-12-04T09:48:12.1896072Z test_torch.py::TestTorch::test_index_add_correctness PASSED [0.4466s] [ 2%] 2025-12-04T09:48:12.1896756Z test_torch.py::TestTorch::test_index_add_correctness PASSED [0.4512s] [ 2%] 2025-12-04T09:48:12.1897432Z test_torch.py::TestTorch::test_index_add_correctness FAILED [0.1829s] [ 2%] 2025-12-04T09:48:12.1898116Z test_torch.py::TestTorch::test_index_add_correctness PASSED [0.4495s] [ 2%] 2025-12-04T09:48:12.1898804Z test_torch.py::TestTorch::test_index_add_correctness PASSED [0.4335s] [ 2%] 2025-12-04T09:48:12.1899484Z test_torch.py::TestTorch::test_index_add_correctness PASSED [0.4356s] [ 2%] 2025-12-04T09:48:12.1900369Z test_torch.py::TestTorch::test_index_add_correctness PASSED [0.3901s] [ 2%] 2025-12-04T09:48:12.1901086Z test_torch.py::TestTorch::test_index_add_correctness FAILED [0.1588s] [ 2%] 2025-12-04T09:48:12.1901768Z test_torch.py::TestTorch::test_index_add_correctness PASSED [0.3967s] [ 2%] 2025-12-04T09:48:12.1902437Z test_torch.py::TestTorch::test_index_add_correctness FAILED [0.1544s] [ 2%] 2025-12-04T09:48:12.1903119Z test_torch.py::TestTorch::test_index_add_correctness PASSED [0.3980s] [ 2%] 2025-12-04T09:48:12.1903800Z test_torch.py::TestTorch::test_index_add_correctness PASSED [0.3996s] [ 2%] 2025-12-04T09:48:12.1904473Z test_torch.py::TestTorch::test_index_add_correctness PASSED [0.3994s] [ 2%] 2025-12-04T09:48:12.1905154Z test_torch.py::TestTorch::test_index_add_correctness FAILED [0.1553s] [ 2%] 2025-12-04T09:48:12.1905838Z test_torch.py::TestTorch::test_index_add_correctness PASSED [0.4124s] [ 2%] 2025-12-04T09:48:12.1906527Z test_torch.py::TestTorch::test_index_add_correctness PASSED [0.4421s] [ 2%] 2025-12-04T09:48:12.1907203Z test_torch.py::TestTorch::test_index_add_correctness FAILED [0.2988s] [ 2%] 2025-12-04T09:48:12.1907896Z test_torch.py::TestTorch::test_index_add_correctness PASSED [0.4642s] [ 2%] 2025-12-04T09:48:12.1908577Z test_torch.py::TestTorch::test_index_add_correctness PASSED [0.3935s] [ 2%] 2025-12-04T09:48:12.1909258Z test_torch.py::TestTorch::test_index_add_correctness PASSED [0.4374s] [ 2%] 2025-12-04T09:48:12.1909930Z test_torch.py::TestTorch::test_index_add_correctness PASSED [0.4250s] [ 2%] 2025-12-04T09:48:12.1910615Z test_torch.py::TestTorch::test_index_add_correctness FAILED [0.1717s] [ 2%] 2025-12-04T09:48:12.1911292Z test_torch.py::TestTorch::test_index_add_correctness PASSED [0.4350s] [ 2%] 2025-12-04T09:48:12.1911966Z test_torch.py::TestTorch::test_index_add_correctness PASSED [0.4162s] [ 2%] 2025-12-04T09:48:12.1912794Z test_torch.py::TestTorch::test_index_add_correctness PASSED [0.4228s] [ 2%] 2025-12-04T09:48:12.1913481Z test_torch.py::TestTorch::test_index_add_correctness PASSED [0.4213s] [ 2%] 2025-12-04T09:48:12.1914277Z test_torch.py::TestTorch::test_index_add_correctness PASSED [0.4237s] [ 2%] 2025-12-04T09:48:12.1914944Z test_torch.py::TestTorch::test_index_add_correctness PASSED [0.4249s] [ 2%] 2025-12-04T09:48:12.1915689Z test_torch.py::TestTorch::test_index_add_correctness FAILED [0.2841s] [ 2%] 2025-12-04T09:48:12.1916374Z test_torch.py::TestTorch::test_index_add_correctness PASSED [0.4301s] [ 2%] 2025-12-04T09:48:12.1917041Z test_torch.py::TestTorch::test_index_add_correctness FAILED [0.1649s] [ 2%] 2025-12-04T09:48:12.1917728Z test_torch.py::TestTorch::test_index_add_correctness PASSED [0.4352s] [ 2%] 2025-12-04T09:48:12.1918816Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0008s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.1920292Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.1921751Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.1923219Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.1924688Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.1926153Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.1927631Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.1929088Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.1930562Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.1932034Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.1933501Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.1934974Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.1936426Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.1937897Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.1939366Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.1940830Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.1942352Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.1943824Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.1945349Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0009s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.1946814Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.1948280Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.1949740Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.1951209Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.1952677Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.1954145Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.1955682Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.1957136Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 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test_torch.py::TestTorch::test_qengine SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.1967765Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.1969242Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.1970703Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0009s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.1972174Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.1973737Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.1975207Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.1976745Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.1978201Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.1979665Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.1981134Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.1982603Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0009s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.1984060Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.1985530Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.1986990Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.1988461Z 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2025-12-04T09:48:12.1996634Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.1998324Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.1999996Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.2002350Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.2004048Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.2005886Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.2007573Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.2009341Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0009s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.2011023Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.2012702Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.2014387Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.2016070Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.2017740Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.2019426Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.2021103Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.2022787Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0009s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.2024468Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.2026132Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.2027818Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.2029494Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.2031177Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.2032859Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.2034518Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 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--rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.2044794Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.2046486Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.2048170Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.2049860Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0009s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.2051526Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.2053205Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.2054892Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.2056565Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.2058249Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.2059918Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.2061599Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.2063280Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0009s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.2064964Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.2066648Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.2068315Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.2070004Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.2071742Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.2073482Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:48:12.2074386Z 2025-12-04T09:48:12.2074552Z =================================== FAILURES =================================== 2025-12-04T09:48:12.2075076Z _____________________ TestTorch.test_index_add_correctness _____________________ 2025-12-04T09:48:12.2075640Z Traceback (most recent call last): 2025-12-04T09:48:12.2076269Z File "/var/lib/jenkins/workspace/test/test_torch.py", line 6717, in test_index_add_correctness 2025-12-04T09:48:12.2076918Z helper(dim, dtype, device, size, size) 2025-12-04T09:48:12.2077472Z File "/var/lib/jenkins/workspace/test/test_torch.py", line 6708, in helper 2025-12-04T09:48:12.2078085Z self.assertEqual(out, ref_out, atol=1e-2, rtol=1e-2) 2025-12-04T09:48:12.2078949Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:48:12.2079832Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:48:12.2080321Z AssertionError: Tensor-likes are not close! 2025-12-04T09:48:12.2080590Z 2025-12-04T09:48:12.2080725Z Mismatched elements: 1 / 327680 (0.0%) 2025-12-04T09:48:12.2081247Z Greatest absolute difference: 0.03125 at index (2, 180, 195) (up to 0.01 allowed) 2025-12-04T09:48:12.2081997Z Greatest relative difference: 0.015380859375 at index (2, 180, 195) (up to 0.01 allowed) 2025-12-04T09:48:12.2082466Z 2025-12-04T09:48:12.2082680Z To execute this test, run the following from the base repo dir: 2025-12-04T09:48:12.2083261Z python test/test_torch.py TestTorch.test_index_add_correctness 2025-12-04T09:48:12.2083619Z 2025-12-04T09:48:12.2083889Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:48:12.2084538Z _____________________ TestTorch.test_index_add_correctness _____________________ 2025-12-04T09:48:12.2085046Z Traceback (most recent call last): 2025-12-04T09:48:12.2085651Z File "/var/lib/jenkins/workspace/test/test_torch.py", line 6717, in test_index_add_correctness 2025-12-04T09:48:12.2086302Z helper(dim, dtype, device, size, size) 2025-12-04T09:48:12.2086844Z File "/var/lib/jenkins/workspace/test/test_torch.py", line 6708, in helper 2025-12-04T09:48:12.2087444Z self.assertEqual(out, ref_out, atol=1e-2, rtol=1e-2) 2025-12-04T09:48:12.2088286Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:48:12.2089176Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:48:12.2089659Z AssertionError: Tensor-likes are not close! 2025-12-04T09:48:12.2089926Z 2025-12-04T09:48:12.2090071Z Mismatched elements: 1 / 262144 (0.0%) 2025-12-04T09:48:12.2090591Z Greatest absolute difference: 0.03125 at index (1, 144, 138) (up to 0.01 allowed) 2025-12-04T09:48:12.2091348Z Greatest relative difference: 0.0150146484375 at index (1, 144, 138) (up to 0.01 allowed) 2025-12-04T09:48:12.2091811Z 2025-12-04T09:48:12.2092039Z To execute this test, run the following from the base repo dir: 2025-12-04T09:48:12.2092609Z python test/test_torch.py TestTorch.test_index_add_correctness 2025-12-04T09:48:12.2092978Z 2025-12-04T09:48:12.2093241Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:48:12.2093895Z _____________________ TestTorch.test_index_add_correctness _____________________ 2025-12-04T09:48:12.2094396Z Traceback (most recent call last): 2025-12-04T09:48:12.2094999Z File "/var/lib/jenkins/workspace/test/test_torch.py", line 6717, in test_index_add_correctness 2025-12-04T09:48:12.2095654Z helper(dim, dtype, device, size, size) 2025-12-04T09:48:12.2096290Z File "/var/lib/jenkins/workspace/test/test_torch.py", line 6708, in helper 2025-12-04T09:48:12.2096885Z self.assertEqual(out, ref_out, atol=1e-2, rtol=1e-2) 2025-12-04T09:48:12.2097813Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:48:12.2098699Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:48:12.2099185Z AssertionError: Tensor-likes are not close! 2025-12-04T09:48:12.2099454Z 2025-12-04T09:48:12.2099575Z Mismatched elements: 1 / 262144 (0.0%) 2025-12-04T09:48:12.2100116Z Greatest absolute difference: 0.046875 at index (1, 351, 138) (up to 0.01 allowed) 2025-12-04T09:48:12.2101052Z Greatest relative difference: 0.01361083984375 at index (1, 351, 138) (up to 0.01 allowed) 2025-12-04T09:48:12.2101534Z 2025-12-04T09:48:12.2101764Z To execute this test, run the following from the base repo dir: 2025-12-04T09:48:12.2102340Z python test/test_torch.py TestTorch.test_index_add_correctness 2025-12-04T09:48:12.2102717Z 2025-12-04T09:48:12.2102983Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:48:12.2103639Z _____________________ TestTorch.test_index_add_correctness _____________________ 2025-12-04T09:48:12.2104132Z Traceback (most recent call last): 2025-12-04T09:48:12.2104751Z File "/var/lib/jenkins/workspace/test/test_torch.py", line 6717, in test_index_add_correctness 2025-12-04T09:48:12.2105404Z helper(dim, dtype, device, size, size) 2025-12-04T09:48:12.2105950Z File "/var/lib/jenkins/workspace/test/test_torch.py", line 6708, in helper 2025-12-04T09:48:12.2106544Z self.assertEqual(out, ref_out, atol=1e-2, rtol=1e-2) 2025-12-04T09:48:12.2107403Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:48:12.2108297Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:48:12.2108780Z AssertionError: Tensor-likes are not close! 2025-12-04T09:48:12.2109063Z 2025-12-04T09:48:12.2109186Z Mismatched elements: 1 / 262144 (0.0%) 2025-12-04T09:48:12.2109718Z Greatest absolute difference: 0.0625 at index (1, 47, 138) (up to 0.01 allowed) 2025-12-04T09:48:12.2110464Z Greatest relative difference: 0.01318359375 at index (1, 47, 138) (up to 0.01 allowed) 2025-12-04T09:48:12.2110911Z 2025-12-04T09:48:12.2111125Z To execute this test, run the following from the base repo dir: 2025-12-04T09:48:12.2111709Z python test/test_torch.py TestTorch.test_index_add_correctness 2025-12-04T09:48:12.2112068Z 2025-12-04T09:48:12.2112343Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:48:12.2112989Z _____________________ TestTorch.test_index_add_correctness _____________________ 2025-12-04T09:48:12.2113483Z Traceback (most recent call last): 2025-12-04T09:48:12.2114101Z File "/var/lib/jenkins/workspace/test/test_torch.py", line 6717, in test_index_add_correctness 2025-12-04T09:48:12.2114759Z helper(dim, dtype, device, size, size) 2025-12-04T09:48:12.2115286Z File "/var/lib/jenkins/workspace/test/test_torch.py", line 6708, in helper 2025-12-04T09:48:12.2115981Z self.assertEqual(out, ref_out, atol=1e-2, rtol=1e-2) 2025-12-04T09:48:12.2116834Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:48:12.2117718Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:48:12.2118191Z AssertionError: Tensor-likes are not close! 2025-12-04T09:48:12.2118469Z 2025-12-04T09:48:12.2118590Z Mismatched elements: 1 / 262144 (0.0%) 2025-12-04T09:48:12.2119121Z Greatest absolute difference: 0.03125 at index (0, 114, 138) (up to 0.01 allowed) 2025-12-04T09:48:12.2119863Z Greatest relative difference: 0.0155029296875 at index (0, 114, 138) (up to 0.01 allowed) 2025-12-04T09:48:12.2120336Z 2025-12-04T09:48:12.2120551Z To execute this test, run the following from the base repo dir: 2025-12-04T09:48:12.2121271Z python test/test_torch.py TestTorch.test_index_add_correctness 2025-12-04T09:48:12.2121631Z 2025-12-04T09:48:12.2121907Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:48:12.2122629Z _____________________ TestTorch.test_index_add_correctness _____________________ 2025-12-04T09:48:12.2123136Z Traceback (most recent call last): 2025-12-04T09:48:12.2123755Z File "/var/lib/jenkins/workspace/test/test_torch.py", line 6717, in test_index_add_correctness 2025-12-04T09:48:12.2124406Z helper(dim, dtype, device, size, size) 2025-12-04T09:48:12.2124932Z File "/var/lib/jenkins/workspace/test/test_torch.py", line 6708, in helper 2025-12-04T09:48:12.2125536Z self.assertEqual(out, ref_out, atol=1e-2, rtol=1e-2) 2025-12-04T09:48:12.2126390Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:48:12.2127262Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:48:12.2127755Z AssertionError: Tensor-likes are not close! 2025-12-04T09:48:12.2128021Z 2025-12-04T09:48:12.2128157Z Mismatched elements: 1 / 262144 (0.0%) 2025-12-04T09:48:12.2128686Z Greatest absolute difference: 0.0625 at index (1, 301, 138) (up to 0.01 allowed) 2025-12-04T09:48:12.2129422Z Greatest relative difference: 0.0123291015625 at index (1, 301, 138) (up to 0.01 allowed) 2025-12-04T09:48:12.2129893Z 2025-12-04T09:48:12.2130107Z To execute this test, run the following from the base repo dir: 2025-12-04T09:48:12.2130687Z python test/test_torch.py TestTorch.test_index_add_correctness 2025-12-04T09:48:12.2131043Z 2025-12-04T09:48:12.2131309Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:48:12.2131964Z _____________________ TestTorch.test_index_add_correctness _____________________ 2025-12-04T09:48:12.2132468Z Traceback (most recent call last): 2025-12-04T09:48:12.2133084Z File "/var/lib/jenkins/workspace/test/test_torch.py", line 6717, in test_index_add_correctness 2025-12-04T09:48:12.2133726Z helper(dim, dtype, device, size, size) 2025-12-04T09:48:12.2134265Z File "/var/lib/jenkins/workspace/test/test_torch.py", line 6708, in helper 2025-12-04T09:48:12.2134872Z self.assertEqual(out, ref_out, atol=1e-2, rtol=1e-2) 2025-12-04T09:48:12.2135708Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:48:12.2136593Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:48:12.2137079Z AssertionError: Tensor-likes are not close! 2025-12-04T09:48:12.2137344Z 2025-12-04T09:48:12.2137477Z Mismatched elements: 1 / 262144 (0.0%) 2025-12-04T09:48:12.2138000Z Greatest absolute difference: 0.03125 at index (1, 313, 138) (up to 0.01 allowed) 2025-12-04T09:48:12.2138759Z Greatest relative difference: 0.01495361328125 at index (1, 313, 138) (up to 0.01 allowed) 2025-12-04T09:48:12.2139222Z 2025-12-04T09:48:12.2139452Z To execute this test, run the following from the base repo dir: 2025-12-04T09:48:12.2140035Z python test/test_torch.py TestTorch.test_index_add_correctness 2025-12-04T09:48:12.2140398Z 2025-12-04T09:48:12.2140662Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:48:12.2141307Z _____________________ TestTorch.test_index_add_correctness _____________________ 2025-12-04T09:48:12.2141812Z Traceback (most recent call last): 2025-12-04T09:48:12.2142412Z File "/var/lib/jenkins/workspace/test/test_torch.py", line 6717, in test_index_add_correctness 2025-12-04T09:48:12.2143059Z helper(dim, dtype, device, size, size) 2025-12-04T09:48:12.2143600Z File "/var/lib/jenkins/workspace/test/test_torch.py", line 6708, in helper 2025-12-04T09:48:12.2144204Z self.assertEqual(out, ref_out, atol=1e-2, rtol=1e-2) 2025-12-04T09:48:12.2145043Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:48:12.2146013Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:48:12.2146506Z AssertionError: Tensor-likes are not close! 2025-12-04T09:48:12.2146836Z 2025-12-04T09:48:12.2146956Z Mismatched elements: 2 / 262144 (0.0%) 2025-12-04T09:48:12.2147489Z Greatest absolute difference: 0.03125 at index (0, 377, 138) (up to 0.01 allowed) 2025-12-04T09:48:12.2148234Z Greatest relative difference: 0.01513671875 at index (0, 377, 138) (up to 0.01 allowed) 2025-12-04T09:48:12.2148687Z 2025-12-04T09:48:12.2148910Z To execute this test, run the following from the base repo dir: 2025-12-04T09:48:12.2149474Z python test/test_torch.py TestTorch.test_index_add_correctness 2025-12-04T09:48:12.2149843Z 2025-12-04T09:48:12.2150107Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:48:12.2150757Z _____________________ TestTorch.test_index_add_correctness _____________________ 2025-12-04T09:48:12.2151264Z Traceback (most recent call last): 2025-12-04T09:48:12.2151879Z File "/var/lib/jenkins/workspace/test/test_torch.py", line 6717, in test_index_add_correctness 2025-12-04T09:48:12.2152530Z helper(dim, dtype, device, size, size) 2025-12-04T09:48:12.2153080Z File "/var/lib/jenkins/workspace/test/test_torch.py", line 6708, in helper 2025-12-04T09:48:12.2153677Z self.assertEqual(out, ref_out, atol=1e-2, rtol=1e-2) 2025-12-04T09:48:12.2154532Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:48:12.2155502Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:48:12.2155998Z AssertionError: Tensor-likes are not close! 2025-12-04T09:48:12.2156267Z 2025-12-04T09:48:12.2156387Z Mismatched elements: 1 / 262144 (0.0%) 2025-12-04T09:48:12.2156917Z Greatest absolute difference: 0.0625 at index (1, 242, 138) (up to 0.01 allowed) 2025-12-04T09:48:12.2157673Z Greatest relative difference: 0.01324462890625 at index (1, 242, 138) (up to 0.01 allowed) 2025-12-04T09:48:12.2158146Z 2025-12-04T09:48:12.2158376Z To execute this test, run the following from the base repo dir: 2025-12-04T09:48:12.2158943Z python test/test_torch.py TestTorch.test_index_add_correctness 2025-12-04T09:48:12.2159317Z 2025-12-04T09:48:12.2159580Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:48:12.2160228Z _____________________ TestTorch.test_index_add_correctness _____________________ 2025-12-04T09:48:12.2160723Z Traceback (most recent call last): 2025-12-04T09:48:12.2161340Z File "/var/lib/jenkins/workspace/test/test_torch.py", line 6717, in test_index_add_correctness 2025-12-04T09:48:12.2161992Z helper(dim, dtype, device, size, size) 2025-12-04T09:48:12.2162534Z File "/var/lib/jenkins/workspace/test/test_torch.py", line 6708, in helper 2025-12-04T09:48:12.2163130Z self.assertEqual(out, ref_out, atol=1e-2, rtol=1e-2) 2025-12-04T09:48:12.2163988Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:48:12.2164879Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:48:12.2165363Z AssertionError: Tensor-likes are not close! 2025-12-04T09:48:12.2175364Z 2025-12-04T09:48:12.2175598Z Mismatched elements: 1 / 262144 (0.0%) 2025-12-04T09:48:12.2176167Z Greatest absolute difference: 0.0625 at index (1, 301, 138) (up to 0.01 allowed) 2025-12-04T09:48:12.2176938Z Greatest relative difference: 0.0123291015625 at index (1, 301, 138) (up to 0.01 allowed) 2025-12-04T09:48:12.2177415Z 2025-12-04T09:48:12.2177636Z To execute this test, run the following from the base repo dir: 2025-12-04T09:48:12.2178229Z python test/test_torch.py TestTorch.test_index_add_correctness 2025-12-04T09:48:12.2178593Z 2025-12-04T09:48:12.2178858Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:48:12.2179514Z _____________________ TestTorch.test_index_add_correctness _____________________ 2025-12-04T09:48:12.2180166Z Traceback (most recent call last): 2025-12-04T09:48:12.2180798Z File "/var/lib/jenkins/workspace/test/test_torch.py", line 6717, in test_index_add_correctness 2025-12-04T09:48:12.2181531Z helper(dim, dtype, device, size, size) 2025-12-04T09:48:12.2182078Z File "/var/lib/jenkins/workspace/test/test_torch.py", line 6708, in helper 2025-12-04T09:48:12.2182688Z self.assertEqual(out, ref_out, atol=1e-2, rtol=1e-2) 2025-12-04T09:48:12.2183537Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:48:12.2184432Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:48:12.2184925Z AssertionError: Tensor-likes are not close! 2025-12-04T09:48:12.2185193Z 2025-12-04T09:48:12.2185330Z Mismatched elements: 1 / 327680 (0.0%) 2025-12-04T09:48:12.2185850Z Greatest absolute difference: 0.03125 at index (2, 180, 195) (up to 0.01 allowed) 2025-12-04T09:48:12.2186608Z Greatest relative difference: 0.015380859375 at index (2, 180, 195) (up to 0.01 allowed) 2025-12-04T09:48:12.2187068Z 2025-12-04T09:48:12.2187299Z To execute this test, run the following from the base repo dir: 2025-12-04T09:48:12.2187890Z python test/test_torch.py TestTorch.test_index_add_correctness 2025-12-04T09:48:12.2188248Z 2025-12-04T09:48:12.2188514Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:48:12.2189169Z _____________________ TestTorch.test_index_add_correctness _____________________ 2025-12-04T09:48:12.2189680Z Traceback (most recent call last): 2025-12-04T09:48:12.2190281Z File "/var/lib/jenkins/workspace/test/test_torch.py", line 6717, in test_index_add_correctness 2025-12-04T09:48:12.2190937Z helper(dim, dtype, device, size, size) 2025-12-04T09:48:12.2191479Z File "/var/lib/jenkins/workspace/test/test_torch.py", line 6708, in helper 2025-12-04T09:48:12.2192090Z self.assertEqual(out, ref_out, atol=1e-2, rtol=1e-2) 2025-12-04T09:48:12.2192935Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:48:12.2193821Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:48:12.2194313Z AssertionError: Tensor-likes are not close! 2025-12-04T09:48:12.2194583Z 2025-12-04T09:48:12.2194706Z Mismatched elements: 1 / 262144 (0.0%) 2025-12-04T09:48:12.2195240Z Greatest absolute difference: 0.0625 at index (1, 355, 138) (up to 0.01 allowed) 2025-12-04T09:48:12.2196088Z Greatest relative difference: 0.01458740234375 at index (1, 355, 138) (up to 0.01 allowed) 2025-12-04T09:48:12.2196557Z 2025-12-04T09:48:12.2196786Z To execute this test, run the following from the base repo dir: 2025-12-04T09:48:12.2197361Z python test/test_torch.py TestTorch.test_index_add_correctness 2025-12-04T09:48:12.2197736Z 2025-12-04T09:48:12.2198000Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:48:12.2198659Z _____________________ TestTorch.test_index_add_correctness _____________________ 2025-12-04T09:48:12.2199170Z Traceback (most recent call last): 2025-12-04T09:48:12.2199771Z File "/var/lib/jenkins/workspace/test/test_torch.py", line 6717, in test_index_add_correctness 2025-12-04T09:48:12.2200589Z helper(dim, dtype, device, size, size) 2025-12-04T09:48:12.2201136Z File "/var/lib/jenkins/workspace/test/test_torch.py", line 6708, in helper 2025-12-04T09:48:12.2201728Z self.assertEqual(out, ref_out, atol=1e-2, rtol=1e-2) 2025-12-04T09:48:12.2202589Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:48:12.2203477Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:48:12.2203964Z AssertionError: Tensor-likes are not close! 2025-12-04T09:48:12.2204230Z 2025-12-04T09:48:12.2204350Z Mismatched elements: 1 / 327680 (0.0%) 2025-12-04T09:48:12.2204883Z Greatest absolute difference: 0.03125 at index (2, 180, 195) (up to 0.01 allowed) 2025-12-04T09:48:12.2205770Z Greatest relative difference: 0.01513671875 at index (2, 180, 195) (up to 0.01 allowed) 2025-12-04T09:48:12.2206428Z 2025-12-04T09:48:12.2206640Z To execute this test, run the following from the base repo dir: 2025-12-04T09:48:12.2207220Z python test/test_torch.py TestTorch.test_index_add_correctness 2025-12-04T09:48:12.2207590Z 2025-12-04T09:48:12.2207854Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:48:12.2208500Z _____________________ TestTorch.test_index_add_correctness _____________________ 2025-12-04T09:48:12.2208992Z Traceback (most recent call last): 2025-12-04T09:48:12.2209603Z File "/var/lib/jenkins/workspace/test/test_torch.py", line 6717, in test_index_add_correctness 2025-12-04T09:48:12.2210255Z helper(dim, dtype, device, size, size) 2025-12-04T09:48:12.2210785Z File "/var/lib/jenkins/workspace/test/test_torch.py", line 6708, in helper 2025-12-04T09:48:12.2211396Z self.assertEqual(out, ref_out, atol=1e-2, rtol=1e-2) 2025-12-04T09:48:12.2212259Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:48:12.2213150Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:48:12.2213622Z AssertionError: Tensor-likes are not close! 2025-12-04T09:48:12.2213905Z 2025-12-04T09:48:12.2214026Z Mismatched elements: 1 / 262144 (0.0%) 2025-12-04T09:48:12.2214558Z Greatest absolute difference: 0.03125 at index (1, 103, 138) (up to 0.01 allowed) 2025-12-04T09:48:12.2215318Z Greatest relative difference: 0.01483154296875 at index (1, 103, 138) (up to 0.01 allowed) 2025-12-04T09:48:12.2215783Z 2025-12-04T09:48:12.2215996Z To execute this test, run the following from the base repo dir: 2025-12-04T09:48:12.2216573Z python test/test_torch.py TestTorch.test_index_add_correctness 2025-12-04T09:48:12.2216929Z 2025-12-04T09:48:12.2217202Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:48:12.2218165Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_torch/test_torch-337c097c1aed7e00.xml - 2025-12-04T09:48:12.2219054Z =========================== short test summary info ============================ 2025-12-04T09:48:12.2219824Z FAILED [0.3319s] test_torch.py::TestTorch::test_index_add_correctness - AssertionError: Tensor-likes are not close! 2025-12-04T09:48:12.2220404Z 2025-12-04T09:48:12.2220537Z Mismatched elements: 1 / 327680 (0.0%) 2025-12-04T09:48:12.2221055Z Greatest absolute difference: 0.03125 at index (2, 180, 195) (up to 0.01 allowed) 2025-12-04T09:48:12.2221804Z Greatest relative difference: 0.015380859375 at index (2, 180, 195) (up to 0.01 allowed) 2025-12-04T09:48:12.2222272Z 2025-12-04T09:48:12.2222487Z To execute this test, run the following from the base repo dir: 2025-12-04T09:48:12.2223068Z python test/test_torch.py TestTorch.test_index_add_correctness 2025-12-04T09:48:12.2223425Z 2025-12-04T09:48:12.2223692Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:48:12.2224537Z FAILED [0.1788s] test_torch.py::TestTorch::test_index_add_correctness - AssertionError: Tensor-likes are not close! 2025-12-04T09:48:12.2225131Z 2025-12-04T09:48:12.2225252Z Mismatched elements: 1 / 262144 (0.0%) 2025-12-04T09:48:12.2225784Z Greatest absolute difference: 0.03125 at index (1, 144, 138) (up to 0.01 allowed) 2025-12-04T09:48:12.2226524Z Greatest relative difference: 0.0150146484375 at index (1, 144, 138) (up to 0.01 allowed) 2025-12-04T09:48:12.2226998Z 2025-12-04T09:48:12.2227213Z To execute this test, run the following from the base repo dir: 2025-12-04T09:48:12.2227790Z python test/test_torch.py TestTorch.test_index_add_correctness 2025-12-04T09:48:12.2228145Z 2025-12-04T09:48:12.2228425Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:48:12.2229256Z FAILED [0.1553s] test_torch.py::TestTorch::test_index_add_correctness - AssertionError: Tensor-likes are not close! 2025-12-04T09:48:12.2229918Z 2025-12-04T09:48:12.2230042Z Mismatched elements: 1 / 262144 (0.0%) 2025-12-04T09:48:12.2230585Z Greatest absolute difference: 0.046875 at index (1, 351, 138) (up to 0.01 allowed) 2025-12-04T09:48:12.2231413Z Greatest relative difference: 0.01361083984375 at index (1, 351, 138) (up to 0.01 allowed) 2025-12-04T09:48:12.2231889Z 2025-12-04T09:48:12.2232102Z To execute this test, run the following from the base repo dir: 2025-12-04T09:48:12.2232682Z python test/test_torch.py TestTorch.test_index_add_correctness 2025-12-04T09:48:12.2233039Z 2025-12-04T09:48:12.2233316Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:48:12.2234146Z FAILED [0.1563s] test_torch.py::TestTorch::test_index_add_correctness - AssertionError: Tensor-likes are not close! 2025-12-04T09:48:12.2234736Z 2025-12-04T09:48:12.2234858Z Mismatched elements: 1 / 262144 (0.0%) 2025-12-04T09:48:12.2235453Z Greatest absolute difference: 0.0625 at index (1, 47, 138) (up to 0.01 allowed) 2025-12-04T09:48:12.2236198Z Greatest relative difference: 0.01318359375 at index (1, 47, 138) (up to 0.01 allowed) 2025-12-04T09:48:12.2236649Z 2025-12-04T09:48:12.2236862Z To execute this test, run the following from the base repo dir: 2025-12-04T09:48:12.2237442Z python test/test_torch.py TestTorch.test_index_add_correctness 2025-12-04T09:48:12.2237797Z 2025-12-04T09:48:12.2238072Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:48:12.2238915Z FAILED [0.1641s] test_torch.py::TestTorch::test_index_add_correctness - AssertionError: Tensor-likes are not close! 2025-12-04T09:48:12.2239488Z 2025-12-04T09:48:12.2239608Z Mismatched elements: 1 / 262144 (0.0%) 2025-12-04T09:48:12.2240141Z Greatest absolute difference: 0.03125 at index (0, 114, 138) (up to 0.01 allowed) 2025-12-04T09:48:12.2240890Z Greatest relative difference: 0.0155029296875 at index (0, 114, 138) (up to 0.01 allowed) 2025-12-04T09:48:12.2241347Z 2025-12-04T09:48:12.2241579Z To execute this test, run the following from the base repo dir: 2025-12-04T09:48:12.2242144Z python test/test_torch.py TestTorch.test_index_add_correctness 2025-12-04T09:48:12.2242516Z 2025-12-04T09:48:12.2242777Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:48:12.2243624Z FAILED [0.1682s] test_torch.py::TestTorch::test_index_add_correctness - AssertionError: Tensor-likes are not close! 2025-12-04T09:48:12.2244197Z 2025-12-04T09:48:12.2244316Z Mismatched elements: 1 / 262144 (0.0%) 2025-12-04T09:48:12.2244844Z Greatest absolute difference: 0.0625 at index (1, 301, 138) (up to 0.01 allowed) 2025-12-04T09:48:12.2245600Z Greatest relative difference: 0.0123291015625 at index (1, 301, 138) (up to 0.01 allowed) 2025-12-04T09:48:12.2246059Z 2025-12-04T09:48:12.2246285Z To execute this test, run the following from the base repo dir: 2025-12-04T09:48:12.2246854Z python test/test_torch.py TestTorch.test_index_add_correctness 2025-12-04T09:48:12.2247224Z 2025-12-04T09:48:12.2247491Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:48:12.2248333Z FAILED [0.1829s] test_torch.py::TestTorch::test_index_add_correctness - AssertionError: Tensor-likes are not close! 2025-12-04T09:48:12.2248914Z 2025-12-04T09:48:12.2249045Z Mismatched elements: 1 / 262144 (0.0%) 2025-12-04T09:48:12.2249564Z Greatest absolute difference: 0.03125 at index (1, 313, 138) (up to 0.01 allowed) 2025-12-04T09:48:12.2250321Z Greatest relative difference: 0.01495361328125 at index (1, 313, 138) (up to 0.01 allowed) 2025-12-04T09:48:12.2250784Z 2025-12-04T09:48:12.2251011Z To execute this test, run the following from the base repo dir: 2025-12-04T09:48:12.2251589Z python test/test_torch.py TestTorch.test_index_add_correctness 2025-12-04T09:48:12.2251947Z 2025-12-04T09:48:12.2252209Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:48:12.2253133Z FAILED [0.1588s] test_torch.py::TestTorch::test_index_add_correctness - AssertionError: Tensor-likes are not close! 2025-12-04T09:48:12.2253711Z 2025-12-04T09:48:12.2253850Z Mismatched elements: 2 / 262144 (0.0%) 2025-12-04T09:48:12.2254456Z Greatest absolute difference: 0.03125 at index (0, 377, 138) (up to 0.01 allowed) 2025-12-04T09:48:12.2255189Z Greatest relative difference: 0.01513671875 at index (0, 377, 138) (up to 0.01 allowed) 2025-12-04T09:48:12.2255652Z 2025-12-04T09:48:12.2255865Z To execute this test, run the following from the base repo dir: 2025-12-04T09:48:12.2256442Z python test/test_torch.py TestTorch.test_index_add_correctness 2025-12-04T09:48:12.2256801Z 2025-12-04T09:48:12.2257063Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:48:12.2257910Z FAILED [0.1544s] test_torch.py::TestTorch::test_index_add_correctness - AssertionError: Tensor-likes are not close! 2025-12-04T09:48:12.2258501Z 2025-12-04T09:48:12.2258622Z Mismatched elements: 1 / 262144 (0.0%) 2025-12-04T09:48:12.2259158Z Greatest absolute difference: 0.0625 at index (1, 242, 138) (up to 0.01 allowed) 2025-12-04T09:48:12.2259900Z Greatest relative difference: 0.01324462890625 at index (1, 242, 138) (up to 0.01 allowed) 2025-12-04T09:48:12.2260384Z 2025-12-04T09:48:12.2260597Z To execute this test, run the following from the base repo dir: 2025-12-04T09:48:12.2261181Z python test/test_torch.py TestTorch.test_index_add_correctness 2025-12-04T09:48:12.2261537Z 2025-12-04T09:48:12.2261814Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:48:12.2262643Z FAILED [0.1553s] test_torch.py::TestTorch::test_index_add_correctness - AssertionError: Tensor-likes are not close! 2025-12-04T09:48:12.2263233Z 2025-12-04T09:48:12.2263355Z Mismatched elements: 1 / 262144 (0.0%) 2025-12-04T09:48:12.2263888Z Greatest absolute difference: 0.0625 at index (1, 301, 138) (up to 0.01 allowed) 2025-12-04T09:48:12.2264637Z Greatest relative difference: 0.0123291015625 at index (1, 301, 138) (up to 0.01 allowed) 2025-12-04T09:48:12.2265096Z 2025-12-04T09:48:12.2265312Z To execute this test, run the following from the base repo dir: 2025-12-04T09:48:12.2265891Z python test/test_torch.py TestTorch.test_index_add_correctness 2025-12-04T09:48:12.2266255Z 2025-12-04T09:48:12.2266529Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:48:12.2267358Z FAILED [0.2988s] test_torch.py::TestTorch::test_index_add_correctness - AssertionError: Tensor-likes are not close! 2025-12-04T09:48:12.2267945Z 2025-12-04T09:48:12.2268064Z Mismatched elements: 1 / 327680 (0.0%) 2025-12-04T09:48:12.2268593Z Greatest absolute difference: 0.03125 at index (2, 180, 195) (up to 0.01 allowed) 2025-12-04T09:48:12.2269336Z Greatest relative difference: 0.015380859375 at index (2, 180, 195) (up to 0.01 allowed) 2025-12-04T09:48:12.2269786Z 2025-12-04T09:48:12.2269997Z To execute this test, run the following from the base repo dir: 2025-12-04T09:48:12.2270574Z python test/test_torch.py TestTorch.test_index_add_correctness 2025-12-04T09:48:12.2270948Z 2025-12-04T09:48:12.2271208Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:48:12.2272050Z FAILED [0.1717s] test_torch.py::TestTorch::test_index_add_correctness - AssertionError: Tensor-likes are not close! 2025-12-04T09:48:12.2272625Z 2025-12-04T09:48:12.2272743Z Mismatched elements: 1 / 262144 (0.0%) 2025-12-04T09:48:12.2273271Z Greatest absolute difference: 0.0625 at index (1, 355, 138) (up to 0.01 allowed) 2025-12-04T09:48:12.2274025Z Greatest relative difference: 0.01458740234375 at index (1, 355, 138) (up to 0.01 allowed) 2025-12-04T09:48:12.2274488Z 2025-12-04T09:48:12.2274717Z To execute this test, run the following from the base repo dir: 2025-12-04T09:48:12.2275284Z python test/test_torch.py TestTorch.test_index_add_correctness 2025-12-04T09:48:12.2275726Z 2025-12-04T09:48:12.2275990Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:48:12.2276911Z FAILED [0.2841s] test_torch.py::TestTorch::test_index_add_correctness - AssertionError: Tensor-likes are not close! 2025-12-04T09:48:12.2277487Z 2025-12-04T09:48:12.2277624Z Mismatched elements: 1 / 327680 (0.0%) 2025-12-04T09:48:12.2278212Z Greatest absolute difference: 0.03125 at index (2, 180, 195) (up to 0.01 allowed) 2025-12-04T09:48:12.2278957Z Greatest relative difference: 0.01513671875 at index (2, 180, 195) (up to 0.01 allowed) 2025-12-04T09:48:12.2279406Z 2025-12-04T09:48:12.2279632Z To execute this test, run the following from the base repo dir: 2025-12-04T09:48:12.2280197Z python test/test_torch.py TestTorch.test_index_add_correctness 2025-12-04T09:48:12.2280568Z 2025-12-04T09:48:12.2280831Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:48:12.2281671Z FAILED [0.1649s] test_torch.py::TestTorch::test_index_add_correctness - AssertionError: Tensor-likes are not close! 2025-12-04T09:48:12.2282243Z 2025-12-04T09:48:12.2282376Z Mismatched elements: 1 / 262144 (0.0%) 2025-12-04T09:48:12.2282901Z Greatest absolute difference: 0.03125 at index (1, 103, 138) (up to 0.01 allowed) 2025-12-04T09:48:12.2283662Z Greatest relative difference: 0.01483154296875 at index (1, 103, 138) (up to 0.01 allowed) 2025-12-04T09:48:12.2284144Z 2025-12-04T09:48:12.2284357Z To execute this test, run the following from the base repo dir: 2025-12-04T09:48:12.2284939Z python test/test_torch.py TestTorch.test_index_add_correctness 2025-12-04T09:48:12.2285295Z 2025-12-04T09:48:12.2285559Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:48:12.2286169Z ================= 14 failed, 36 passed, 100 skipped in 20.39s ================== 2025-12-04T09:48:12.2286524Z 2025-12-04T09:48:12.2286899Z FINISHED PRINTING LOG FILE of test_torch 1/1 (test/test-reports/test_torch_1.1_dd679a45e552220d_.log) 2025-12-04T09:48:12.2287409Z 2025-12-04T09:48:12.2287679Z Finished test_torch 1/1 ... [2025-12-04 09:48:12.179566][2092.729540818], took 0.48min 2025-12-04T09:48:12.2288722Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_torch/test_torch-337c097c1aed7e00.xml 2025-12-04T09:48:12.4943964Z Uploading logs for 57119749258 to S3 2025-12-04T09:48:12.5270490Z Uploading artifacts took 0.26 seconds 2025-12-04T09:48:12.5270866Z test_torch 1/1 failed! 2025-12-04T09:48:12.5275990Z Running test_tensorexpr 1/1 ... [2025-12-04 09:48:12.527436][2093.077410399] 2025-12-04T09:48:12.5276508Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:48:12.5280907Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_tensorexpr.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 09:48:12.527845] 2025-12-04T09:48:17.2289605Z 2025-12-04T09:48:17.2290573Z test_tensorexpr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorexpr_1.1_4da78cae156d4a82_.log 2025-12-04T09:48:17.2291502Z Running 0 items in this shard: 2025-12-04T09:48:17.2291716Z 2025-12-04T09:48:17.2292066Z Finished test_tensorexpr 1/1 ... [2025-12-04 09:48:17.228781][2097.778744238], took 0.08min 2025-12-04T09:48:17.2315551Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_tensorexpr/test_tensorexpr-491004287f7dbd5c.xml 2025-12-04T09:48:17.2646957Z Running test_utils 1/1 ... [2025-12-04 09:48:17.264461][2097.814435884] 2025-12-04T09:48:17.2647461Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:48:17.2651083Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_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 09:48:17.264864] 2025-12-04T09:48:37.1524611Z 2025-12-04T09:48:37.1525860Z test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_utils_1.1_7b814d8888cb92ba_.log 2025-12-04T09:48:37.1554469Z Running 100 items in this shard: test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed 2025-12-04T09:48:37.1582860Z 2025-12-04T09:48:37.1583124Z Finished test_utils 1/1 ... [2025-12-04 09:48:37.152346][2117.702320457], took 0.33min 2025-12-04T09:48:37.1584135Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_utils/test_utils-e61c8c8517caf583.xml 2025-12-04T09:48:37.2387413Z Running test_namedtuple_return_api 1/1 ... [2025-12-04 09:48:37.238470][2117.788444172] 2025-12-04T09:48:37.2387985Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:48:37.2391415Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_namedtuple_return_api.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 09:48:37.238871] 2025-12-04T09:48:41.8557661Z 2025-12-04T09:48:41.8558697Z test_namedtuple_return_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_namedtuple_return_api_1.1_9809f0261cf15afc_.log 2025-12-04T09:48:41.8559697Z Running 0 items in this shard: 2025-12-04T09:48:41.8559917Z 2025-12-04T09:48:41.8560298Z Finished test_namedtuple_return_api 1/1 ... [2025-12-04 09:48:41.855572][2122.405546851], took 0.08min 2025-12-04T09:48:41.8587252Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_namedtuple_return_api/test_namedtuple_return_api-0dc34df54fe930d2.xml 2025-12-04T09:48:41.8833263Z Running test_fake_tensor 1/1 ... [2025-12-04 09:48:41.883140][2122.43311673] 2025-12-04T09:48:41.8833891Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:48:41.8837536Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_fake_tensor.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 09:48:41.883499] 2025-12-04T09:48:55.2577939Z 2025-12-04T09:48:55.2579314Z PRINTING LOG FILE of test_fake_tensor 1/1 (test/test-reports/test_fake_tensor_1.1_44e831b8488822ab_.log) 2025-12-04T09:48:55.2580471Z Test results will be stored in test-reports/python-pytest/test_fake_tensor/test_fake_tensor-405c25ddbaabe4ec.xml 2025-12-04T09:48:55.2581404Z ============================= test session starts ============================== 2025-12-04T09:48:55.2582076Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T09:48:55.2582715Z cachedir: .pytest_cache 2025-12-04T09:48:55.2583619Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T09:48:55.2584486Z rootdir: /var/lib/jenkins/workspace 2025-12-04T09:48:55.2584896Z configfile: pytest.ini 2025-12-04T09:48:55.2585624Z 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 2025-12-04T09:48:55.2586422Z collecting ... collected 288 items 2025-12-04T09:48:55.2586828Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T09:48:55.2605273Z Running 50 items in this shard: test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to 2025-12-04T09:48:55.2623727Z 2025-12-04T09:48:55.2624092Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to FAILED [0.0404s] [ 2%] 2025-12-04T09:48:55.2624942Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to FAILED [0.0116s] [ 2%] 2025-12-04T09:48:55.2625785Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to PASSED [0.0115s] [ 2%] 2025-12-04T09:48:55.2626634Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to PASSED [0.0112s] [ 2%] 2025-12-04T09:48:55.2627478Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to PASSED [0.0112s] [ 2%] 2025-12-04T09:48:55.2628320Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to PASSED [0.0111s] [ 2%] 2025-12-04T09:48:55.2629157Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to PASSED [0.0111s] [ 2%] 2025-12-04T09:48:55.2629998Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to PASSED [0.0111s] [ 2%] 2025-12-04T09:48:55.2630836Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to PASSED [0.0111s] [ 2%] 2025-12-04T09:48:55.2631659Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to PASSED [0.0111s] [ 2%] 2025-12-04T09:48:55.2632496Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to PASSED [0.0110s] [ 2%] 2025-12-04T09:48:55.2633339Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to PASSED [0.0111s] [ 2%] 2025-12-04T09:48:55.2634178Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to PASSED [0.0110s] [ 2%] 2025-12-04T09:48:55.2635008Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to PASSED [0.0111s] [ 2%] 2025-12-04T09:48:55.2635913Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to PASSED [0.0111s] [ 2%] 2025-12-04T09:48:55.2636755Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to PASSED [0.0111s] [ 2%] 2025-12-04T09:48:55.2637598Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to PASSED [0.0111s] [ 2%] 2025-12-04T09:48:55.2638429Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to PASSED [0.0111s] [ 2%] 2025-12-04T09:48:55.2639271Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to PASSED [0.0111s] [ 2%] 2025-12-04T09:48:55.2640113Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to PASSED [0.0111s] [ 2%] 2025-12-04T09:48:55.2641080Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to PASSED [0.0111s] [ 2%] 2025-12-04T09:48:55.2641935Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to PASSED [0.0111s] [ 2%] 2025-12-04T09:48:55.2642779Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to PASSED [0.0110s] [ 2%] 2025-12-04T09:48:55.2643622Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to PASSED [0.0110s] [ 2%] 2025-12-04T09:48:55.2644454Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to PASSED [0.0110s] [ 2%] 2025-12-04T09:48:55.2645298Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to PASSED [0.0111s] [ 2%] 2025-12-04T09:48:55.2646136Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to PASSED [0.0111s] [ 2%] 2025-12-04T09:48:55.2646973Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to PASSED [0.0110s] [ 2%] 2025-12-04T09:48:55.2647908Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to PASSED [0.0111s] [ 2%] 2025-12-04T09:48:55.2648755Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to PASSED [0.0110s] [ 2%] 2025-12-04T09:48:55.2649665Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to PASSED [0.0111s] [ 2%] 2025-12-04T09:48:55.2650495Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to PASSED [0.0110s] [ 2%] 2025-12-04T09:48:55.2651334Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to PASSED [0.0111s] [ 2%] 2025-12-04T09:48:55.2652182Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to PASSED [0.0110s] [ 2%] 2025-12-04T09:48:55.2653020Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to PASSED [0.0111s] [ 2%] 2025-12-04T09:48:55.2653847Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to PASSED [0.0110s] [ 2%] 2025-12-04T09:48:55.2654689Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to PASSED [0.0111s] [ 2%] 2025-12-04T09:48:55.2655533Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to PASSED [0.0110s] [ 2%] 2025-12-04T09:48:55.2656374Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to PASSED [0.0111s] [ 2%] 2025-12-04T09:48:55.2657209Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to PASSED [0.0110s] [ 2%] 2025-12-04T09:48:55.2658048Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to PASSED [0.0110s] [ 2%] 2025-12-04T09:48:55.2658889Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to PASSED [0.0110s] [ 2%] 2025-12-04T09:48:55.2659735Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to PASSED [0.0111s] [ 2%] 2025-12-04T09:48:55.2660561Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to PASSED [0.0110s] [ 2%] 2025-12-04T09:48:55.2661401Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to PASSED [0.0110s] [ 2%] 2025-12-04T09:48:55.2662244Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to PASSED [0.0110s] [ 2%] 2025-12-04T09:48:55.2663070Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to PASSED [0.0111s] [ 2%] 2025-12-04T09:48:55.2663917Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to PASSED [0.0110s] [ 2%] 2025-12-04T09:48:55.2664758Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to PASSED [0.0111s] [ 2%] 2025-12-04T09:48:55.2665598Z test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to PASSED [0.0111s] [ 2%] 2025-12-04T09:48:55.2666083Z 2025-12-04T09:48:55.2666238Z =================================== FAILURES =================================== 2025-12-04T09:48:55.2666814Z _________________ FakeTensorOperatorInvariants.test_module_to __________________ 2025-12-04T09:48:55.2667353Z Traceback (most recent call last): 2025-12-04T09:48:55.2668044Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 986, in _apply 2025-12-04T09:48:55.2668789Z torch.utils.swap_tensors(param, param_applied) 2025-12-04T09:48:55.2669540Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/__init__.py", line 45, in swap_tensors 2025-12-04T09:48:55.2670428Z raise RuntimeError("Cannot swap t1 because it has weakref associated with it") 2025-12-04T09:48:55.2671108Z RuntimeError: Cannot swap t1 because it has weakref associated with it 2025-12-04T09:48:55.2671512Z 2025-12-04T09:48:55.2671758Z The above exception was the direct cause of the following exception: 2025-12-04T09:48:55.2672145Z 2025-12-04T09:48:55.2672268Z Traceback (most recent call last): 2025-12-04T09:48:55.2672857Z File "/var/lib/jenkins/workspace/test/test_fake_tensor.py", line 1665, in test_module_to 2025-12-04T09:48:55.2673438Z m.to("cuda") 2025-12-04T09:48:55.2674021Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1383, in to 2025-12-04T09:48:55.2674701Z return self._apply(convert) 2025-12-04T09:48:55.2675650Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 990, in _apply 2025-12-04T09:48:55.2676511Z raise RuntimeError( 2025-12-04T09:48:55.2676878Z RuntimeError: _apply(): Couldn't swap Linear.weight 2025-12-04T09:48:55.2677939Z 2025-12-04T09:48:55.2678174Z To execute this test, run the following from the base repo dir: 2025-12-04T09:48:55.2678818Z python test/test_fake_tensor.py FakeTensorOperatorInvariants.test_module_to 2025-12-04T09:48:55.2679265Z 2025-12-04T09:48:55.2679532Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:48:55.2680214Z _________________ FakeTensorOperatorInvariants.test_module_to __________________ 2025-12-04T09:48:55.2680760Z Traceback (most recent call last): 2025-12-04T09:48:55.2681428Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 986, in _apply 2025-12-04T09:48:55.2682174Z torch.utils.swap_tensors(param, param_applied) 2025-12-04T09:48:55.2682925Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/__init__.py", line 47, in swap_tensors 2025-12-04T09:48:55.2683795Z raise RuntimeError("Cannot swap t2 because it has weakref associated with it") 2025-12-04T09:48:55.2684492Z RuntimeError: Cannot swap t2 because it has weakref associated with it 2025-12-04T09:48:55.2684891Z 2025-12-04T09:48:55.2685134Z The above exception was the direct cause of the following exception: 2025-12-04T09:48:55.2685510Z 2025-12-04T09:48:55.2685642Z Traceback (most recent call last): 2025-12-04T09:48:55.2686222Z File "/var/lib/jenkins/workspace/test/test_fake_tensor.py", line 1665, in test_module_to 2025-12-04T09:48:55.2686812Z m.to("cuda") 2025-12-04T09:48:55.2687390Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1383, in to 2025-12-04T09:48:55.2688055Z return self._apply(convert) 2025-12-04T09:48:55.2688709Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 990, in _apply 2025-12-04T09:48:55.2689400Z raise RuntimeError( 2025-12-04T09:48:55.2689753Z RuntimeError: _apply(): Couldn't swap Linear.bias 2025-12-04T09:48:55.2690051Z 2025-12-04T09:48:55.2690268Z To execute this test, run the following from the base repo dir: 2025-12-04T09:48:55.2690917Z python test/test_fake_tensor.py FakeTensorOperatorInvariants.test_module_to 2025-12-04T09:48:55.2691347Z 2025-12-04T09:48:55.2691623Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:48:55.2692661Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fake_tensor/test_fake_tensor-405c25ddbaabe4ec.xml - 2025-12-04T09:48:55.2693599Z =========================== short test summary info ============================ 2025-12-04T09:48:55.2694494Z FAILED [0.0404s] test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to - RuntimeError: _apply(): Couldn't swap Linear.weight 2025-12-04T09:48:55.2695192Z 2025-12-04T09:48:55.2695424Z To execute this test, run the following from the base repo dir: 2025-12-04T09:48:55.2696070Z python test/test_fake_tensor.py FakeTensorOperatorInvariants.test_module_to 2025-12-04T09:48:55.2696505Z 2025-12-04T09:48:55.2696768Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:48:55.2697732Z FAILED [0.0116s] test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to - RuntimeError: _apply(): Couldn't swap Linear.bias 2025-12-04T09:48:55.2698423Z 2025-12-04T09:48:55.2698651Z To execute this test, run the following from the base repo dir: 2025-12-04T09:48:55.2699296Z python test/test_fake_tensor.py FakeTensorOperatorInvariants.test_module_to 2025-12-04T09:48:55.2699723Z 2025-12-04T09:48:55.2699987Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:48:55.2700799Z ========================= 2 failed, 48 passed in 1.25s ========================= 2025-12-04T09:48:55.2701113Z 2025-12-04T09:48:55.2701715Z FINISHED PRINTING LOG FILE of test_fake_tensor 1/1 (test/test-reports/test_fake_tensor_1.1_44e831b8488822ab_.log) 2025-12-04T09:48:55.2702283Z 2025-12-04T09:48:55.2702592Z Finished test_fake_tensor 1/1 ... [2025-12-04 09:48:55.257627][2135.807598294], took 0.22min 2025-12-04T09:48:55.2703815Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fake_tensor/test_fake_tensor-405c25ddbaabe4ec.xml 2025-12-04T09:48:55.5041351Z Uploading logs for 57119749258 to S3 2025-12-04T09:48:55.5334683Z Uploading artifacts took 0.19 seconds 2025-12-04T09:48:55.5335084Z test_fake_tensor 1/1 failed! 2025-12-04T09:48:55.5340161Z Running test_multiprocessing 1/1 ... [2025-12-04 09:48:55.533849][2136.083823814] 2025-12-04T09:48:55.5340725Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:48:55.5344854Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_multiprocessing.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 09:48:55.534249] 2025-12-04T09:57:04.2839798Z 2025-12-04T09:57:04.2842692Z test_multiprocessing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_1.1_36c890aa6daaea55_.log 2025-12-04T09:57:04.2880303Z Running 100 items in this shard: test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple 2025-12-04T09:57:04.2917147Z 2025-12-04T09:57:04.2917490Z Finished test_multiprocessing 1/1 ... [2025-12-04 09:57:04.283948][2624.833919748], took 8.15min 2025-12-04T09:57:04.2918737Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_multiprocessing/test_multiprocessing-29634a3bb6880ad2.xml 2025-12-04T09:57:04.3696632Z Running test_fx 1/1 ... [2025-12-04 09:57:04.369318][2624.919292235] 2025-12-04T09:57:04.3697117Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:57:04.3701260Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_fx.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 09:57:04.369777] 2025-12-04T10:00:48.2107895Z 2025-12-04T10:00:48.2108691Z test_fx 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_1.1_4056915ef231bffe_.log 2025-12-04T10:00:48.2138208Z Running 100 items in this shard: test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7 2025-12-04T10:00:48.2166911Z 2025-12-04T10:00:48.2167162Z Finished test_fx 1/1 ... [2025-12-04 10:00:48.210663][2848.760637389], took 3.73min 2025-12-04T10:00:48.2168319Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fx/test_fx-bd6625f47770ccc0.xml 2025-12-04T10:00:48.3119643Z Running test_autograd_fallback 1/1 ... [2025-12-04 10:00:48.311640][2848.86161331] 2025-12-04T10:00:48.3120202Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:00:48.3123275Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_autograd_fallback.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 10:00:48.312057] 2025-12-04T10:00:52.8719921Z 2025-12-04T10:00:52.8720924Z test_autograd_fallback 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autograd_fallback_1.1_ef6c3a952c7fa6bb_.log 2025-12-04T10:00:52.8721840Z Running 0 items in this shard: 2025-12-04T10:00:52.8722059Z 2025-12-04T10:00:52.8722430Z Finished test_autograd_fallback 1/1 ... [2025-12-04 10:00:52.871806][2853.421781488], took 0.08min 2025-12-04T10:00:52.8754446Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_autograd_fallback/test_autograd_fallback-9a17c57bd56277ee.xml 2025-12-04T10:00:52.9092202Z Running test_autocast 1/1 ... [2025-12-04 10:00:52.908964][2853.458938775] 2025-12-04T10:00:52.9092715Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:00:52.9096040Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_autocast.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 10:00:52.909356] 2025-12-04T10:00:57.9082310Z 2025-12-04T10:00:57.9083176Z test_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autocast_1.1_5c22a037c8f3d829_.log 2025-12-04T10:00:57.9084003Z Running 0 items in this shard: 2025-12-04T10:00:57.9084266Z 2025-12-04T10:00:57.9084552Z Finished test_autocast 1/1 ... [2025-12-04 10:00:57.908054][2858.458028845], took 0.08min 2025-12-04T10:00:57.9119478Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_autocast/test_autocast-ad24529cc011ce3a.xml 2025-12-04T10:00:57.9403086Z Running test_python_dispatch 1/1 ... [2025-12-04 10:00:57.940075][2858.490050867] 2025-12-04T10:00:57.9403639Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:00:57.9406905Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_python_dispatch.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 10:00:57.940449] 2025-12-04T10:01:06.2956529Z 2025-12-04T10:01:06.2957512Z test_python_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_python_dispatch_1.1_83cd0a169e65a01d_.log 2025-12-04T10:01:06.2958430Z Running 0 items in this shard: 2025-12-04T10:01:06.2958649Z 2025-12-04T10:01:06.2958988Z Finished test_python_dispatch 1/1 ... [2025-12-04 10:01:06.295433][2866.845407932], took 0.14min 2025-12-04T10:01:06.2997457Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_python_dispatch/test_python_dispatch-96d8e2ee4180b2a2.xml 2025-12-04T10:01:06.3738868Z Running test_jit_disabled 1/1 ... [2025-12-04 10:01:06.373597][2866.92357101] 2025-12-04T10:01:06.3739405Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:01:06.3742857Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_jit_disabled.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 10:01:06.374017] 2025-12-04T10:01:10.8872035Z 2025-12-04T10:01:10.8873287Z test_jit_disabled 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_disabled_1.1_e46c5ff3f404700d_.log 2025-12-04T10:01:10.8874270Z Running 0 items in this shard: 2025-12-04T10:01:10.8874481Z 2025-12-04T10:01:10.8874785Z Finished test_jit_disabled 1/1 ... [2025-12-04 10:01:10.887038][2871.437012134], took 0.08min 2025-12-04T10:01:10.8912817Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jit_disabled/test_jit_disabled-230a24b405ce869d.xml 2025-12-04T10:01:10.9238744Z Running test_cpp_extensions_mtia_backend 1/1 ... [2025-12-04 10:01:10.923668][2871.473644021] 2025-12-04T10:01:10.9239341Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:01:10.9243290Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cpp_extensions_mtia_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 10:01:10.924066] 2025-12-04T10:01:15.4974018Z 2025-12-04T10:01:15.4975172Z test_cpp_extensions_mtia_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_mtia_backend_1.1_0b41ffacdb4af3ca_.log 2025-12-04T10:01:15.4976197Z Running 0 items in this shard: 2025-12-04T10:01:15.4976409Z 2025-12-04T10:01:15.4976791Z Finished test_cpp_extensions_mtia_backend 1/1 ... [2025-12-04 10:01:15.497245][2876.047218729], took 0.08min 2025-12-04T10:01:15.5016081Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_mtia_backend/test_cpp_extensions_mtia_backend-f0eea712e794793a.xml 2025-12-04T10:01:15.5283838Z Running functorch/test_memory_efficient_fusion 1/1 ... [2025-12-04 10:01:15.528141][2876.078116392] 2025-12-04T10:01:15.5284488Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:01:15.5288190Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_memory_efficient_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 10:01:15.528552] 2025-12-04T10:01:20.5429015Z 2025-12-04T10:01:20.5430159Z functorch/test_memory_efficient_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_memory_efficient_fusion_1.1_7bcba368a7ae0f6a_.log 2025-12-04T10:01:20.5431222Z Running 0 items in this shard: 2025-12-04T10:01:20.5431434Z 2025-12-04T10:01:20.5431856Z Finished functorch/test_memory_efficient_fusion 1/1 ... [2025-12-04 10:01:20.542737][2881.092711551], took 0.08min 2025-12-04T10:01:20.5472329Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_memory_efficient_fusion/functorch.test_memory_efficient_fusion-5d93eccee332e884.xml 2025-12-04T10:01:20.5902522Z Running test_tensor_creation_ops 1/1 ... [2025-12-04 10:01:20.590054][2881.140030135] 2025-12-04T10:01:20.5903066Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:01:20.5906707Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_tensor_creation_ops.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 10:01:20.590418] 2025-12-04T10:01:28.3293990Z 2025-12-04T10:01:28.3295119Z test_tensor_creation_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensor_creation_ops_1.1_29e5e52887344120_.log 2025-12-04T10:01:28.3297054Z Running 0 items in this shard: 2025-12-04T10:01:28.3297335Z 2025-12-04T10:01:28.3297675Z Finished test_tensor_creation_ops 1/1 ... [2025-12-04 10:01:28.329195][2888.879169836], took 0.13min 2025-12-04T10:01:28.3339122Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_tensor_creation_ops/test_tensor_creation_ops-5a360d05a3918f6e.xml 2025-12-04T10:01:28.4050648Z Running test_cpp_extensions_stream_and_event 1/1 ... [2025-12-04 10:01:28.404706][2888.954679732] 2025-12-04T10:01:28.4051536Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:01:28.4054350Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cpp_extensions_stream_and_event.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 10:01:28.405149] 2025-12-04T10:01:33.0609864Z 2025-12-04T10:01:33.0610992Z test_cpp_extensions_stream_and_event 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_stream_and_event_1.1_9917218aa6b3bacd_.log 2025-12-04T10:01:33.0611991Z Running 0 items in this shard: 2025-12-04T10:01:33.0612213Z 2025-12-04T10:01:33.0612623Z Finished test_cpp_extensions_stream_and_event 1/1 ... [2025-12-04 10:01:33.060818][2893.610793614], took 0.08min 2025-12-04T10:01:33.0656362Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_stream_and_event/test_cpp_extensions_stream_and_event-c1e3345ceb5feba0.xml 2025-12-04T10:01:33.0931927Z Running test_dispatch 1/1 ... [2025-12-04 10:01:33.092950][2893.642924596] 2025-12-04T10:01:33.0932423Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:01:33.0935797Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_dispatch.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 10:01:33.093344] 2025-12-04T10:01:37.6680561Z 2025-12-04T10:01:37.6681406Z test_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dispatch_1.1_487eca02e90af696_.log 2025-12-04T10:01:37.6682271Z Running 0 items in this shard: 2025-12-04T10:01:37.6682501Z 2025-12-04T10:01:37.6682785Z Finished test_dispatch 1/1 ... [2025-12-04 10:01:37.667900][2898.217874266], took 0.08min 2025-12-04T10:01:37.6729691Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dispatch/test_dispatch-f83e9c9d458d3b17.xml 2025-12-04T10:01:37.7020400Z Running nn/test_convolution 1/1 ... [2025-12-04 10:01:37.701868][2898.251844415] 2025-12-04T10:01:37.7020922Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:01:37.7024651Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_convolution.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 10:01:37.702238] 2025-12-04T10:01:46.1328862Z 2025-12-04T10:01:46.1329844Z nn/test_convolution 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_convolution_1.1_24b4a8b02f49de57_.log 2025-12-04T10:01:46.1354126Z Running 50 items in this shard: test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCUDA::test_conv3d_64bit_indexing_cuda 2025-12-04T10:01:46.1378565Z 2025-12-04T10:01:46.1378875Z Finished nn/test_convolution 1/1 ... [2025-12-04 10:01:46.132730][2906.682701685], took 0.14min 2025-12-04T10:01:46.1380104Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_convolution/nn.test_convolution-2a46842ad0fed515.xml 2025-12-04T10:01:46.2051916Z Running test_cpp_extensions_jit 1/1 ... [2025-12-04 10:01:46.204886][2906.754860137] 2025-12-04T10:01:46.2052724Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:01:46.2055537Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cpp_extensions_jit.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 10:01:46.205299] 2025-12-04T10:01:53.0520137Z 2025-12-04T10:01:53.0521299Z test_cpp_extensions_jit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_jit_1.1_251e769b57d8032b_.log 2025-12-04T10:01:53.0522230Z Running 0 items in this shard: 2025-12-04T10:01:53.0522463Z 2025-12-04T10:01:53.0522834Z Finished test_cpp_extensions_jit 1/1 ... [2025-12-04 10:01:53.051829][2913.601802701], took 0.11min 2025-12-04T10:01:53.0571087Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_jit/test_cpp_extensions_jit-02f10691de0c4dc1.xml 2025-12-04T10:01:53.1548136Z Running test_nn 1/1 ... [2025-12-04 10:01:53.154512][2913.704486401] 2025-12-04T10:01:53.1548636Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:01:53.1551629Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_nn.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 10:01:53.154912] 2025-12-04T10:02:05.2059359Z 2025-12-04T10:02:05.2060164Z test_nn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_nn_1.1_f81aae1f3c757125_.log 2025-12-04T10:02:05.2060885Z Running 0 items in this shard: 2025-12-04T10:02:05.2061109Z 2025-12-04T10:02:05.2061381Z Finished test_nn 1/1 ... [2025-12-04 10:02:05.205740][2925.755714897], took 0.20min 2025-12-04T10:02:05.2112003Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_nn/test_nn-ce54e96fb8a528ac.xml 2025-12-04T10:02:05.2718331Z Running test_multiprocessing_spawn 1/1 ... [2025-12-04 10:02:05.271490][2925.821464247] 2025-12-04T10:02:05.2718899Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:05.2721888Z 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 10:02:05.271921] 2025-12-04T10:02:14.8431435Z 2025-12-04T10:02:14.8432469Z test_multiprocessing_spawn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_spawn_1.1_e9296df6d21e4763_.log 2025-12-04T10:02:14.8433453Z Running 0 items in this shard: 2025-12-04T10:02:14.8433666Z 2025-12-04T10:02:14.8434037Z Finished test_multiprocessing_spawn 1/1 ... [2025-12-04 10:02:14.842971][2935.392943425], took 0.16min 2025-12-04T10:02:14.8486234Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_multiprocessing_spawn/test_multiprocessing_spawn-270f19062628e6dc.xml 2025-12-04T10:02:14.9101385Z Running nn/test_pooling 1/1 ... [2025-12-04 10:02:14.909841][2935.459816521] 2025-12-04T10:02:14.9101922Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:14.9106262Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_pooling.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 10:02:14.910354] 2025-12-04T10:02:21.9770552Z 2025-12-04T10:02:21.9771802Z nn/test_pooling 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pooling_1.1_f6001827cf3f4e45_.log 2025-12-04T10:02:21.9772661Z Running 0 items in this shard: 2025-12-04T10:02:21.9773040Z 2025-12-04T10:02:21.9773342Z Finished nn/test_pooling 1/1 ... [2025-12-04 10:02:21.976810][2942.526784354], took 0.12min 2025-12-04T10:02:21.9825198Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_pooling/nn.test_pooling-9ef2b67a68fd5808.xml 2025-12-04T10:02:22.0693782Z Running test_cuda_trace 1/1 ... [2025-12-04 10:02:22.069134][2942.619110186] 2025-12-04T10:02:22.0694279Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:22.0697597Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_trace.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:02:22.069506] 2025-12-04T10:02:26.5980008Z 2025-12-04T10:02:26.5980946Z test_cuda_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_trace_1.1_ed962148c088bc4b_.log 2025-12-04T10:02:26.5981755Z Running 0 items in this shard: 2025-12-04T10:02:26.5981979Z 2025-12-04T10:02:26.5982260Z Finished test_cuda_trace 1/1 ... [2025-12-04 10:02:26.597811][2947.147786009], took 0.08min 2025-12-04T10:02:26.6039797Z Running test_native_mha 1/1 ... [2025-12-04 10:02:26.603802][2947.153778334] 2025-12-04T10:02:26.6040316Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:26.6044173Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_native_mha.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 10:02:26.604175] 2025-12-04T10:02:33.4273939Z 2025-12-04T10:02:33.4274826Z test_native_mha 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_mha_1.1_609605d94a12a531_.log 2025-12-04T10:02:33.4275893Z Running 0 items in this shard: 2025-12-04T10:02:33.4276129Z 2025-12-04T10:02:33.4276421Z Finished test_native_mha 1/1 ... [2025-12-04 10:02:33.427176][2953.977151032], took 0.11min 2025-12-04T10:02:33.4330927Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_native_mha/test_native_mha-9f07773b32007ee8.xml 2025-12-04T10:02:33.5129622Z Running test_cuda_nvml_based_avail 1/1 ... [2025-12-04 10:02:33.512676][2954.062648371] 2025-12-04T10:02:33.5130189Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:33.5133886Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_nvml_based_avail.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:02:33.513118] 2025-12-04T10:02:36.8999229Z 2025-12-04T10:02:36.9000390Z test_cuda_nvml_based_avail 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_nvml_based_avail_1.1_b79b45692837a846_.log 2025-12-04T10:02:36.9001355Z Running 0 items in this shard: 2025-12-04T10:02:36.9001570Z 2025-12-04T10:02:36.9001925Z Finished test_cuda_nvml_based_avail 1/1 ... [2025-12-04 10:02:36.899725][2957.449698909], took 0.06min 2025-12-04T10:02:36.9060435Z Running test_mobile_optimizer 1/1 ... [2025-12-04 10:02:36.905878][2957.455853977] 2025-12-04T10:02:36.9060967Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:36.9064818Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_mobile_optimizer.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 10:02:36.906252] 2025-12-04T10:02:42.1663101Z 2025-12-04T10:02:42.1664361Z test_mobile_optimizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mobile_optimizer_1.1_030acffbc2adef58_.log 2025-12-04T10:02:42.1702455Z Running 100 items in this shard: test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures 2025-12-04T10:02:42.1739864Z 2025-12-04T10:02:42.1740194Z Finished test_mobile_optimizer 1/1 ... [2025-12-04 10:02:42.166165][2962.716138779], took 0.09min 2025-12-04T10:02:42.1742247Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_mobile_optimizer/test_mobile_optimizer-4286da2c65d8b772.xml 2025-12-04T10:02:42.2518522Z Running test_cuda_primary_ctx 1/1 ... [2025-12-04 10:02:42.251549][2962.801522198] 2025-12-04T10:02:42.2519063Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:42.2522705Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_primary_ctx.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:02:42.252003] 2025-12-04T10:02:47.1529314Z 2025-12-04T10:02:47.1530324Z test_cuda_primary_ctx 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_primary_ctx_1.1_9ea2650ca3dcc569_.log 2025-12-04T10:02:47.1531196Z Running 0 items in this shard: 2025-12-04T10:02:47.1531418Z 2025-12-04T10:02:47.1531734Z Finished test_cuda_primary_ctx 1/1 ... [2025-12-04 10:02:47.152714][2967.70268912], took 0.08min 2025-12-04T10:02:47.1592026Z Running test_reductions 1/1 ... [2025-12-04 10:02:47.159037][2967.709014182] 2025-12-04T10:02:47.1592531Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:47.1596895Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_reductions.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 10:02:47.159431] 2025-12-04T10:03:04.4447852Z 2025-12-04T10:03:04.4448745Z test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_reductions_1.1_f67f039c3848f437_.log 2025-12-04T10:03:04.4507664Z Running 0 items in this shard: 2025-12-04T10:03:04.4507920Z 2025-12-04T10:03:04.4508262Z Finished test_reductions 1/1 ... [2025-12-04 10:03:04.444551][2984.994527128], took 0.29min 2025-12-04T10:03:04.4509355Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_reductions/test_reductions-5624729b6deb8fe8.xml 2025-12-04T10:03:04.5355630Z Running test_spectral_ops 1/1 ... [2025-12-04 10:03:04.535259][2985.08523262] 2025-12-04T10:03:04.5356343Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:04.5359914Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_spectral_ops.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 10:03:04.535730] 2025-12-04T10:03:13.1386637Z 2025-12-04T10:03:13.1387706Z test_spectral_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_spectral_ops_1.1_e42f2d30d7ba912c_.log 2025-12-04T10:03:13.1388659Z Running 0 items in this shard: 2025-12-04T10:03:13.1388886Z 2025-12-04T10:03:13.1389195Z Finished test_spectral_ops 1/1 ... [2025-12-04 10:03:13.138457][2993.688430838], took 0.14min 2025-12-04T10:03:13.1450516Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_spectral_ops/test_spectral_ops-ce06d5401d3f3560.xml 2025-12-04T10:03:13.2303545Z Running distributions/test_distributions 1/1 ... [2025-12-04 10:03:13.230088][2993.780062767] 2025-12-04T10:03:13.2304133Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:13.2307902Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'distributions/test_distributions.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 10:03:13.230496] 2025-12-04T10:03:19.2542628Z 2025-12-04T10:03:19.2543702Z distributions/test_distributions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_distributions_1.1_e13c430497034714_.log 2025-12-04T10:03:19.2566411Z Running 50 items in this shard: test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample 2025-12-04T10:03:19.2587537Z 2025-12-04T10:03:19.2587928Z Finished distributions/test_distributions 1/1 ... [2025-12-04 10:03:19.254151][2999.804122646], took 0.10min 2025-12-04T10:03:19.2606812Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/distributions.test_distributions/distributions.test_distributions-25bbf5ce53889584.xml 2025-12-04T10:03:19.3364929Z Running test_autoload_disable 1/1 ... [2025-12-04 10:03:19.336222][2999.886194776] 2025-12-04T10:03:19.6962418Z Processing /var/lib/jenkins/workspace/test/cpp_extensions 2025-12-04T10:03:24.4660347Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T10:03:24.4682446Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension 2025-12-04T10:04:54.6573239Z Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - done 2025-12-04T10:04:54.6940013Z [?25h Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp310-cp310-linux_x86_64.whl size=13197897 sha256=b6a5ccc0bd7297df99f10dd45c6ae420354aca47de488baca12e750f2cacd3b2 2025-12-04T10:04:54.6941566Z Stored in directory: /tmp/pip-ephem-wheel-cache-2kbp_dpn/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1 2025-12-04T10:04:54.6961888Z Successfully built torch_test_cpp_extension 2025-12-04T10:04:55.0958347Z Installing collected packages: torch_test_cpp_extension 2025-12-04T10:04:55.3327357Z Successfully installed torch_test_cpp_extension-0.0.0 2025-12-04T10:04:59.2739892Z 2025-12-04T10:04:59.2740348Z Running tests... 2025-12-04T10:04:59.2740762Z ---------------------------------------------------------------------- 2025-12-04T10:05:01.1041030Z . 2025-12-04T10:05:01.1041493Z ---------------------------------------------------------------------- 2025-12-04T10:05:01.1041955Z Ran 1 test in 1.830s 2025-12-04T10:05:01.1042131Z 2025-12-04T10:05:01.1042218Z OK 2025-12-04T10:05:01.1042353Z 2025-12-04T10:05:01.1042471Z Generating XML reports... 2025-12-04T10:05:01.9453840Z Finished test_autoload_disable 1/1 ... [2025-12-04 10:05:01.945008][3102.49497672], took 1.71min 2025-12-04T10:05:01.9519162Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204100459.xml 2025-12-04T10:05:02.2451263Z Running test_autoload_enable 1/1 ... [2025-12-04 10:05:02.244811][3102.794784443] 2025-12-04T10:05:02.6049272Z Processing /var/lib/jenkins/workspace/test/cpp_extensions 2025-12-04T10:05:07.2454362Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T10:05:07.2476548Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension 2025-12-04T10:06:36.9774966Z Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - done 2025-12-04T10:06:37.0143249Z [?25h Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp310-cp310-linux_x86_64.whl size=13197897 sha256=6647ab4bda51f7c5046845a8df968367b9903a27b959274c55f9592b5aa078a4 2025-12-04T10:06:37.0145456Z Stored in directory: /tmp/pip-ephem-wheel-cache-m3ezudbw/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1 2025-12-04T10:06:37.0165067Z Successfully built torch_test_cpp_extension 2025-12-04T10:06:37.4180477Z Installing collected packages: torch_test_cpp_extension 2025-12-04T10:06:37.6576431Z Successfully installed torch_test_cpp_extension-0.0.0 2025-12-04T10:06:41.6921342Z 2025-12-04T10:06:41.6921804Z Running tests... 2025-12-04T10:06:41.6924916Z ---------------------------------------------------------------------- 2025-12-04T10:06:43.5240415Z . 2025-12-04T10:06:43.5241242Z ---------------------------------------------------------------------- 2025-12-04T10:06:43.5241704Z Ran 1 test in 1.832s 2025-12-04T10:06:43.5241880Z 2025-12-04T10:06:43.5241969Z OK 2025-12-04T10:06:43.5242099Z 2025-12-04T10:06:43.5242214Z Generating XML reports... 2025-12-04T10:06:44.2842346Z Finished test_autoload_enable 1/1 ... [2025-12-04 10:06:44.283857][3204.833825259], took 1.70min 2025-12-04T10:06:44.2907629Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204100641.xml 2025-12-04T10:06:44.3934138Z Running test_cpp_extensions_aot_ninja 1/1 ... [2025-12-04 10:06:44.393072][3204.943045872] 2025-12-04T10:06:44.7902629Z Processing /var/lib/jenkins/workspace/test/cpp_extensions 2025-12-04T10:06:49.3927490Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T10:06:49.3949184Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension 2025-12-04T10:08:20.6581883Z Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ done 2025-12-04T10:08:20.7024191Z [?25h Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp310-cp310-linux_x86_64.whl size=16079182 sha256=a7a0977fab971328924b5b35aa21e47e87b770a8be57f03da26ba7c6bf302666 2025-12-04T10:08:20.7026994Z Stored in directory: /tmp/pip-ephem-wheel-cache-_23kchp3/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1 2025-12-04T10:08:20.7046162Z Successfully built torch_test_cpp_extension 2025-12-04T10:08:21.1038793Z Installing collected packages: torch_test_cpp_extension 2025-12-04T10:08:21.3907045Z Successfully installed torch_test_cpp_extension-0.0.0 2025-12-04T10:08:21.8104539Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test 2025-12-04T10:08:25.1105794Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T10:08:25.1129927Z [?25hBuilding wheels for collected packages: no_python_abi_suffix_test 2025-12-04T10:08:28.5117371Z Building wheel for no_python_abi_suffix_test (pyproject.toml) ... [?25l- \ | done 2025-12-04T10:08:28.5125153Z [?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=ae8ef05461f570f06353ff1a217119428636b5db8eed77466419995bc2c417f4 2025-12-04T10:08:28.5126828Z Stored in directory: /tmp/pip-ephem-wheel-cache-v9u9459_/wheels/8c/c7/11/bcf2bfbdebb3cf78b8211ac54acc945a8fdf1732548d147a80 2025-12-04T10:08:28.5147460Z Successfully built no_python_abi_suffix_test 2025-12-04T10:08:28.9162580Z Installing collected packages: no_python_abi_suffix_test 2025-12-04T10:08:28.9272031Z Successfully installed no_python_abi_suffix_test-0.0.0 2025-12-04T10:08:29.0454820Z * Getting build dependencies for wheel... 2025-12-04T10:08:31.7296193Z running egg_info 2025-12-04T10:08:31.7374021Z creating python_agnostic.egg-info 2025-12-04T10:08:31.7375368Z writing python_agnostic.egg-info/PKG-INFO 2025-12-04T10:08:31.7379480Z writing dependency_links to python_agnostic.egg-info/dependency_links.txt 2025-12-04T10:08:31.7382322Z writing top-level names to python_agnostic.egg-info/top_level.txt 2025-12-04T10:08:31.7383614Z writing manifest file 'python_agnostic.egg-info/SOURCES.txt' 2025-12-04T10:08:31.7861173Z reading manifest file 'python_agnostic.egg-info/SOURCES.txt' 2025-12-04T10:08:31.7869588Z writing manifest file 'python_agnostic.egg-info/SOURCES.txt' 2025-12-04T10:08:32.1482581Z * Building wheel... 2025-12-04T10:08:34.8052953Z running bdist_wheel 2025-12-04T10:08:34.8689179Z running build 2025-12-04T10:08:34.8689494Z running build_ext 2025-12-04T10:08:34.8723246Z building 'python_agnostic._C' extension 2025-12-04T10:08:34.8727205Z 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 2025-12-04T10:08:46.7804547Z [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_75,code=sm_75 -std=c++17 2025-12-04T10:08:46.7866722Z creating build/lib.linux-x86_64-cpython-310/python_agnostic 2025-12-04T10:08:46.7872383Z 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 2025-12-04T10:08:47.2428906Z installing to build/bdist.linux-x86_64/wheel 2025-12-04T10:08:47.2429321Z running install 2025-12-04T10:08:47.2483897Z running install_lib 2025-12-04T10:08:47.2555590Z creating build/bdist.linux-x86_64/wheel 2025-12-04T10:08:47.2558419Z creating build/bdist.linux-x86_64/wheel/python_agnostic 2025-12-04T10:08:47.2560120Z copying build/lib.linux-x86_64-cpython-310/python_agnostic/_C.so -> build/bdist.linux-x86_64/wheel/./python_agnostic 2025-12-04T10:08:47.2565918Z running install_egg_info 2025-12-04T10:08:47.2639910Z running egg_info 2025-12-04T10:08:47.2707740Z writing python_agnostic.egg-info/PKG-INFO 2025-12-04T10:08:47.2712051Z writing dependency_links to python_agnostic.egg-info/dependency_links.txt 2025-12-04T10:08:47.2724893Z writing top-level names to python_agnostic.egg-info/top_level.txt 2025-12-04T10:08:47.2805679Z reading manifest file 'python_agnostic.egg-info/SOURCES.txt' 2025-12-04T10:08:47.2816519Z writing manifest file 'python_agnostic.egg-info/SOURCES.txt' 2025-12-04T10:08:47.2828184Z Copying python_agnostic.egg-info to build/bdist.linux-x86_64/wheel/./python_agnostic-0.0-py3.10.egg-info 2025-12-04T10:08:47.2834276Z running install_scripts 2025-12-04T10:08:47.2958167Z creating build/bdist.linux-x86_64/wheel/python_agnostic-0.0.dist-info/WHEEL 2025-12-04T10:08:47.2963988Z creating '/var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/dist/.tmp-eu780vqa/python_agnostic-0.0-cp39-abi3-linux_x86_64.whl' and adding 'build/bdist.linux-x86_64/wheel' to it 2025-12-04T10:08:47.3163925Z adding 'python_agnostic/_C.so' 2025-12-04T10:08:47.3180340Z adding 'python_agnostic-0.0.dist-info/METADATA' 2025-12-04T10:08:47.3181595Z adding 'python_agnostic-0.0.dist-info/WHEEL' 2025-12-04T10:08:47.3183263Z adding 'python_agnostic-0.0.dist-info/top_level.txt' 2025-12-04T10:08:47.3184382Z adding 'python_agnostic-0.0.dist-info/RECORD' 2025-12-04T10:08:47.3185344Z removing build/bdist.linux-x86_64/wheel 2025-12-04T10:08:47.6492600Z Successfully built python_agnostic-0.0-cp39-abi3-linux_x86_64.whl 2025-12-04T10:08:48.0188649Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/libtorch_agnostic_2_9_extension 2025-12-04T10:08:51.4008009Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T10:08:51.4031105Z [?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) 2025-12-04T10:08:51.4060580Z 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) 2025-12-04T10:08:51.4066127Z 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) 2025-12-04T10:08:51.4071401Z 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) 2025-12-04T10:08:51.4077008Z 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) 2025-12-04T10:08:51.4081232Z 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) 2025-12-04T10:08:51.4086710Z 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) 2025-12-04T10:08:51.4511659Z 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) 2025-12-04T10:08:51.4573745Z 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) 2025-12-04T10:08:51.4584379Z Building wheels for collected packages: libtorch_agnostic_2_9 2025-12-04T10:08:58.1845223Z Building wheel for libtorch_agnostic_2_9 (pyproject.toml) ... [?25l- \ | / done 2025-12-04T10:08:58.1854314Z [?25h Created wheel for libtorch_agnostic_2_9: filename=libtorch_agnostic_2_9-0.0-cp39-abi3-linux_x86_64.whl size=54876 sha256=433cf5ea4b12d9197a88382451b05ad651759bdfb6b38782ec33eaee60bc12f6 2025-12-04T10:08:58.1855924Z Stored in directory: /tmp/pip-ephem-wheel-cache-iqe26ksk/wheels/e1/56/0d/91ac1e918c8015b48f6a77f66abeeb8427a8788f7d37715e0e 2025-12-04T10:08:58.1875933Z Successfully built libtorch_agnostic_2_9 2025-12-04T10:08:58.5389960Z Installing collected packages: libtorch_agnostic_2_9 2025-12-04T10:08:58.5501234Z Successfully installed libtorch_agnostic_2_9-0.0 2025-12-04T10:08:58.9654387Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/libtorch_agnostic_2_10_extension 2025-12-04T10:09:02.1532360Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T10:09:02.1555169Z [?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) 2025-12-04T10:09:02.1584683Z 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) 2025-12-04T10:09:02.1590666Z 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) 2025-12-04T10:09:02.1596322Z 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) 2025-12-04T10:09:02.1602411Z 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) 2025-12-04T10:09:02.1607041Z 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) 2025-12-04T10:09:02.1612583Z 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) 2025-12-04T10:09:02.2040622Z 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) 2025-12-04T10:09:02.2102827Z 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) 2025-12-04T10:09:02.2113635Z Building wheels for collected packages: libtorch_agnostic_2_10 2025-12-04T10:09:09.4154775Z Building wheel for libtorch_agnostic_2_10 (pyproject.toml) ... [?25l- \ | / - \ | done 2025-12-04T10:09:09.4165218Z [?25h Created wheel for libtorch_agnostic_2_10: filename=libtorch_agnostic_2_10-0.0-cp39-abi3-linux_x86_64.whl size=81593 sha256=cd358988c6df8e3676b370c538ce4973e5fc26e21ad88d2245f1cdca8018ebcb 2025-12-04T10:09:09.4166749Z Stored in directory: /tmp/pip-ephem-wheel-cache-xcsp88bh/wheels/03/17/c4/d9b9dbd12b271a9a317a75e944d0966701385d67eac86f2c1a 2025-12-04T10:09:09.4187129Z Successfully built libtorch_agnostic_2_10 2025-12-04T10:09:09.7712450Z Installing collected packages: libtorch_agnostic_2_10 2025-12-04T10:09:09.7824427Z Successfully installed libtorch_agnostic_2_10-0.0 2025-12-04T10:09:09.8439500Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:09.8444005Z 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 10:09:09.844129] 2025-12-04T10:09:14.9477568Z 2025-12-04T10:09:14.9478771Z 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_aed84ede78a5e3b5_.log 2025-12-04T10:09:14.9479736Z Running 0 items in this shard: 2025-12-04T10:09:14.9479979Z 2025-12-04T10:09:14.9480348Z Finished test_cpp_extensions_aot_ninja 1/1 ... [2025-12-04 10:09:14.947654][3355.497627181], took 2.51min 2025-12-04T10:09:14.9544409Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_aot_ninja/test_cpp_extensions_aot_ninja-7229fc97a8bc1862.xml 2025-12-04T10:09:15.3462328Z Uploading artifacts took 0.31 seconds 2025-12-04T10:09:15.3466727Z Running test_cpp_extensions_aot_no_ninja 1/1 ... [2025-12-04 10:09:15.346488][3355.896461436] 2025-12-04T10:09:15.7143547Z Processing /var/lib/jenkins/workspace/test/cpp_extensions 2025-12-04T10:09:20.3332359Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T10:09:20.3353911Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension 2025-12-04T10:10:49.8370924Z Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - done 2025-12-04T10:10:49.8738155Z [?25h Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp310-cp310-linux_x86_64.whl size=13197897 sha256=c657a19ffedd83daa8555fe9edfbbb90937616465c4164ac0c59e31ac35b38c8 2025-12-04T10:10:49.8739717Z Stored in directory: /tmp/pip-ephem-wheel-cache-2hep_a3q/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1 2025-12-04T10:10:49.8759602Z Successfully built torch_test_cpp_extension 2025-12-04T10:10:50.2747500Z Installing collected packages: torch_test_cpp_extension 2025-12-04T10:10:50.5179849Z Successfully installed torch_test_cpp_extension-0.0.0 2025-12-04T10:10:50.9297604Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test 2025-12-04T10:10:54.0044165Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T10:10:54.0066507Z [?25hBuilding wheels for collected packages: no_python_abi_suffix_test 2025-12-04T10:10:57.4765773Z Building wheel for no_python_abi_suffix_test (pyproject.toml) ... [?25l- \ | done 2025-12-04T10:10:57.4773518Z [?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=44b9ca6d87736c311f7f5c209769dd96d5cace98892e6efc34a13fdf981ef121 2025-12-04T10:10:57.4775085Z Stored in directory: /tmp/pip-ephem-wheel-cache-ecrgxtyz/wheels/8c/c7/11/bcf2bfbdebb3cf78b8211ac54acc945a8fdf1732548d147a80 2025-12-04T10:10:57.4794764Z Successfully built no_python_abi_suffix_test 2025-12-04T10:10:57.8780341Z Installing collected packages: no_python_abi_suffix_test 2025-12-04T10:10:57.8892713Z Successfully installed no_python_abi_suffix_test-0.0.0 2025-12-04T10:10:58.0068910Z * Getting build dependencies for wheel... 2025-12-04T10:11:00.7281544Z running egg_info 2025-12-04T10:11:00.7366630Z writing python_agnostic.egg-info/PKG-INFO 2025-12-04T10:11:00.7371081Z writing dependency_links to python_agnostic.egg-info/dependency_links.txt 2025-12-04T10:11:00.7374179Z writing top-level names to python_agnostic.egg-info/top_level.txt 2025-12-04T10:11:00.7848603Z reading manifest file 'python_agnostic.egg-info/SOURCES.txt' 2025-12-04T10:11:00.7858812Z writing manifest file 'python_agnostic.egg-info/SOURCES.txt' 2025-12-04T10:11:01.1510271Z * Building wheel... 2025-12-04T10:11:04.0787108Z running bdist_wheel 2025-12-04T10:11:04.1430893Z running build 2025-12-04T10:11:04.1431177Z running build_ext 2025-12-04T10:11:04.1468877Z building 'python_agnostic._C' extension 2025-12-04T10:11:04.2190078Z ninja: no work to do. 2025-12-04T10:11:04.2234698Z 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 2025-12-04T10:11:04.6882588Z installing to build/bdist.linux-x86_64/wheel 2025-12-04T10:11:04.6883036Z running install 2025-12-04T10:11:04.6937132Z running install_lib 2025-12-04T10:11:04.7011498Z creating build/bdist.linux-x86_64/wheel 2025-12-04T10:11:04.7013393Z creating build/bdist.linux-x86_64/wheel/python_agnostic 2025-12-04T10:11:04.7015125Z copying build/lib.linux-x86_64-cpython-310/python_agnostic/_C.so -> build/bdist.linux-x86_64/wheel/./python_agnostic 2025-12-04T10:11:04.7020540Z running install_egg_info 2025-12-04T10:11:04.7094067Z running egg_info 2025-12-04T10:11:04.7162415Z writing python_agnostic.egg-info/PKG-INFO 2025-12-04T10:11:04.7166571Z writing dependency_links to python_agnostic.egg-info/dependency_links.txt 2025-12-04T10:11:04.7169857Z writing top-level names to python_agnostic.egg-info/top_level.txt 2025-12-04T10:11:04.7242154Z reading manifest file 'python_agnostic.egg-info/SOURCES.txt' 2025-12-04T10:11:04.7252904Z writing manifest file 'python_agnostic.egg-info/SOURCES.txt' 2025-12-04T10:11:04.7254677Z Copying python_agnostic.egg-info to build/bdist.linux-x86_64/wheel/./python_agnostic-0.0-py3.10.egg-info 2025-12-04T10:11:04.7260656Z running install_scripts 2025-12-04T10:11:04.7384406Z creating build/bdist.linux-x86_64/wheel/python_agnostic-0.0.dist-info/WHEEL 2025-12-04T10:11:04.7389729Z creating '/var/lib/jenkins/workspace/test/cpp_extensions/python_agnostic_extension/dist/.tmp-rs3lwnsd/python_agnostic-0.0-cp39-abi3-linux_x86_64.whl' and adding 'build/bdist.linux-x86_64/wheel' to it 2025-12-04T10:11:04.7589852Z adding 'python_agnostic/_C.so' 2025-12-04T10:11:04.7607576Z adding 'python_agnostic-0.0.dist-info/METADATA' 2025-12-04T10:11:04.7608678Z adding 'python_agnostic-0.0.dist-info/WHEEL' 2025-12-04T10:11:04.7610004Z adding 'python_agnostic-0.0.dist-info/top_level.txt' 2025-12-04T10:11:04.7611423Z adding 'python_agnostic-0.0.dist-info/RECORD' 2025-12-04T10:11:04.7612535Z removing build/bdist.linux-x86_64/wheel 2025-12-04T10:11:05.0768677Z Successfully built python_agnostic-0.0-cp39-abi3-linux_x86_64.whl 2025-12-04T10:11:05.4481278Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/libtorch_agnostic_2_9_extension 2025-12-04T10:11:08.5376938Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T10:11:08.5400894Z [?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) 2025-12-04T10:11:08.5430360Z 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) 2025-12-04T10:11:08.5436210Z 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) 2025-12-04T10:11:08.5441837Z 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) 2025-12-04T10:11:08.5447515Z 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) 2025-12-04T10:11:08.5451741Z 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) 2025-12-04T10:11:08.5457236Z 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) 2025-12-04T10:11:08.5881335Z 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) 2025-12-04T10:11:08.5943692Z 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) 2025-12-04T10:11:08.5954548Z Building wheels for collected packages: libtorch_agnostic_2_9 2025-12-04T10:11:12.2314792Z Building wheel for libtorch_agnostic_2_9 (pyproject.toml) ... [?25l- \ | done 2025-12-04T10:11:12.2324187Z [?25h Created wheel for libtorch_agnostic_2_9: filename=libtorch_agnostic_2_9-0.0-cp39-abi3-linux_x86_64.whl size=54876 sha256=b6c06dfa8e0a9affcfc163163915f9b1d70d045ac76d5c885e6969f8a7155128 2025-12-04T10:11:12.2325723Z Stored in directory: /tmp/pip-ephem-wheel-cache-lbaqap0h/wheels/e1/56/0d/91ac1e918c8015b48f6a77f66abeeb8427a8788f7d37715e0e 2025-12-04T10:11:12.2345462Z Successfully built libtorch_agnostic_2_9 2025-12-04T10:11:12.5859184Z Installing collected packages: libtorch_agnostic_2_9 2025-12-04T10:11:12.5993246Z Successfully installed libtorch_agnostic_2_9-0.0 2025-12-04T10:11:13.0165338Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/libtorch_agnostic_2_10_extension 2025-12-04T10:11:16.1730103Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T10:11:16.1753507Z [?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) 2025-12-04T10:11:16.1783279Z 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) 2025-12-04T10:11:16.1789168Z 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) 2025-12-04T10:11:16.1794779Z 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) 2025-12-04T10:11:16.1801383Z 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) 2025-12-04T10:11:16.1805781Z 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) 2025-12-04T10:11:16.1811581Z 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) 2025-12-04T10:11:16.2233398Z 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) 2025-12-04T10:11:16.2295772Z 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) 2025-12-04T10:11:16.2307124Z Building wheels for collected packages: libtorch_agnostic_2_10 2025-12-04T10:11:20.0879691Z Building wheel for libtorch_agnostic_2_10 (pyproject.toml) ... [?25l- \ | done 2025-12-04T10:11:20.0890155Z [?25h Created wheel for libtorch_agnostic_2_10: filename=libtorch_agnostic_2_10-0.0-cp39-abi3-linux_x86_64.whl size=81593 sha256=80167f7a74de15efe70cab1fb4167e5492052f4362767e2379524906499f31e4 2025-12-04T10:11:20.0891654Z Stored in directory: /tmp/pip-ephem-wheel-cache-1k3d2opp/wheels/03/17/c4/d9b9dbd12b271a9a317a75e944d0966701385d67eac86f2c1a 2025-12-04T10:11:20.0911693Z Successfully built libtorch_agnostic_2_10 2025-12-04T10:11:20.4432836Z Installing collected packages: libtorch_agnostic_2_10 2025-12-04T10:11:20.4575642Z Successfully installed libtorch_agnostic_2_10-0.0 2025-12-04T10:11:20.5169915Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:11:20.5174786Z 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 10:11:20.517185] 2025-12-04T10:11:25.5932755Z 2025-12-04T10:11:25.5933808Z 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_d99bd0f258c1faf2_.log 2025-12-04T10:11:25.5934763Z Running 0 items in this shard: 2025-12-04T10:11:25.5934985Z 2025-12-04T10:11:25.5935350Z Finished test_cpp_extensions_aot_no_ninja 1/1 ... [2025-12-04 10:11:25.593204][3486.143176571], took 2.17min 2025-12-04T10:11:25.6001254Z 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-cc21c658feb68388.xml 2025-12-04T10:11:25.6750828Z Running inductor/test_torchinductor_opinfo 11/17 ... [2025-12-04 10:11:25.674807][3486.224782825] 2025-12-04T10:11:25.6751426Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:11:25.6754061Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'serial', '--shard-id=11', '--num-shards=17', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:11:25.675156] 2025-12-04T10:11:46.1235570Z 2025-12-04T10:11:46.1236937Z inductor/test_torchinductor_opinfo 11/17 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_11.17_81a2a43821f62d32_.log 2025-12-04T10:11:46.1238176Z Running 0 items in this shard: 2025-12-04T10:11:46.1238407Z 2025-12-04T10:11:46.1238895Z Finished inductor/test_torchinductor_opinfo 11/17 ... [2025-12-04 10:11:46.123335][3506.673310406], took 0.34min 2025-12-04T10:11:46.1303383Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-f182d0233258289f.xml 2025-12-04T10:11:46.2035568Z Running dynamo/test_activation_checkpointing 1/1 ... [2025-12-04 10:11:46.203219][3506.753193814] 2025-12-04T10:11:46.2036447Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:11:46.2039844Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_activation_checkpointing.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:11:46.203668] 2025-12-04T10:11:57.7662500Z 2025-12-04T10:11:57.7663609Z dynamo/test_activation_checkpointing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_activation_checkpointing_1.1_f1ac759e2baefd1b_.log 2025-12-04T10:11:57.7664661Z Running 0 items in this shard: 2025-12-04T10:11:57.7664871Z 2025-12-04T10:11:57.7665278Z Finished dynamo/test_activation_checkpointing 1/1 ... [2025-12-04 10:11:57.766053][3518.316028715], took 0.19min 2025-12-04T10:11:57.7732248Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_activation_checkpointing/dynamo.test_activation_checkpointing-eb41e5dce2af3d48.xml 2025-12-04T10:11:57.8481229Z Running dynamo/test_logging 1/1 ... [2025-12-04 10:11:57.847793][3518.39776612] 2025-12-04T10:11:57.8481807Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:11:57.8484572Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_logging.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:11:57.848171] 2025-12-04T10:12:07.3701235Z 2025-12-04T10:12:07.3702409Z dynamo/test_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_logging_1.1_d4d0cb1747ce033e_.log 2025-12-04T10:12:07.3703390Z Running 0 items in this shard: 2025-12-04T10:12:07.3703666Z 2025-12-04T10:12:07.3703983Z Finished dynamo/test_logging 1/1 ... [2025-12-04 10:12:07.369931][3527.919905099], took 0.16min 2025-12-04T10:12:07.3772908Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_logging/dynamo.test_logging-aa375dcde0e4fbc7.xml 2025-12-04T10:12:07.4520312Z Running dynamo/test_repros 1/1 ... [2025-12-04 10:12:07.451750][3528.001725786] 2025-12-04T10:12:07.4520887Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:12:07.4524333Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_repros.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:12:07.452153] 2025-12-04T10:12:22.3313598Z 2025-12-04T10:12:22.3314588Z dynamo/test_repros 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_repros_1.1_6baa2b9c82c41de8_.log 2025-12-04T10:12:22.3329563Z Running 50 items in this shard: test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand, test/dynamo/test_repros.py::ReproTests::test_dont_dce_rand 2025-12-04T10:12:22.3343229Z 2025-12-04T10:12:22.3343545Z Finished dynamo/test_repros 1/1 ... [2025-12-04 10:12:22.331195][3542.881169631], took 0.25min 2025-12-04T10:12:22.3385549Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_repros/dynamo.test_repros-1e050475089d5277.xml 2025-12-04T10:12:22.4246193Z Running inductor/test_cuda_select_algorithm 1/5 ... [2025-12-04 10:12:22.424306][3542.97428042] 2025-12-04T10:12:22.4246830Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:12:22.4250002Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cuda_select_algorithm.py', '-m', 'serial', '--shard-id=1', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:12:22.424705] 2025-12-04T10:12:34.1604268Z 2025-12-04T10:12:34.1605460Z inductor/test_cuda_select_algorithm 1/5 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cuda_select_algorithm_1.5_6e10f213b0af281a_.log 2025-12-04T10:12:34.1606548Z Running 0 items in this shard: 2025-12-04T10:12:34.1606763Z 2025-12-04T10:12:34.1607176Z Finished inductor/test_cuda_select_algorithm 1/5 ... [2025-12-04 10:12:34.160215][3554.710189953], took 0.20min 2025-12-04T10:12:34.1678263Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-938f5e4e2fef9a6d.xml 2025-12-04T10:12:34.2426768Z Running inductor/test_cuda_select_algorithm 5/5 ... [2025-12-04 10:12:34.242361][3554.792334707] 2025-12-04T10:12:34.2427386Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:12:34.2430918Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cuda_select_algorithm.py', '-m', 'serial', '--shard-id=5', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:12:34.242777] 2025-12-04T10:12:46.1359414Z 2025-12-04T10:12:46.1360568Z inductor/test_cuda_select_algorithm 5/5 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cuda_select_algorithm_5.5_4caaa1db117edea5_.log 2025-12-04T10:12:46.1361644Z Running 0 items in this shard: 2025-12-04T10:12:46.1361860Z 2025-12-04T10:12:46.1362264Z Finished inductor/test_cuda_select_algorithm 5/5 ... [2025-12-04 10:12:46.135714][3566.685688627], took 0.20min 2025-12-04T10:12:46.1434057Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-0153dae9750f47f8.xml 2025-12-04T10:12:46.2262565Z Running inductor/test_flex_decoding 1/1 ... [2025-12-04 10:12:46.225961][3566.775935068] 2025-12-04T10:12:46.2263161Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:12:46.2266403Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_decoding.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:12:46.226363] 2025-12-04T10:12:51.1121362Z 2025-12-04T10:12:51.1122420Z inductor/test_flex_decoding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_decoding_1.1_7d9669ee41784f46_.log 2025-12-04T10:12:51.1123406Z Running 0 items in this shard: 2025-12-04T10:12:51.1123623Z 2025-12-04T10:12:51.1123984Z Finished inductor/test_flex_decoding 1/1 ... [2025-12-04 10:12:51.111926][3571.661901482], took 0.08min 2025-12-04T10:12:51.1196617Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_decoding/inductor.test_flex_decoding-74ba30b3a3fb5860.xml 2025-12-04T10:12:51.1456462Z Running inductor/test_deterministic 3/8 ... [2025-12-04 10:12:51.145405][3571.695380879] 2025-12-04T10:12:51.1457054Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:12:51.1460523Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_deterministic.py', '-m', 'serial', '--shard-id=3', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:12:51.145772] 2025-12-04T10:13:00.6787947Z 2025-12-04T10:13:00.6788990Z inductor/test_deterministic 3/8 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_deterministic_3.8_1343e414c2cd5dbc_.log 2025-12-04T10:13:00.6789963Z Running 0 items in this shard: 2025-12-04T10:13:00.6790173Z 2025-12-04T10:13:00.6790534Z Finished inductor/test_deterministic 3/8 ... [2025-12-04 10:13:00.678607][3581.228581787], took 0.16min 2025-12-04T10:13:00.6864920Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_deterministic/inductor.test_deterministic-6dc4b04d14f1fbe9.xml 2025-12-04T10:13:00.7654764Z Running inductor/test_deterministic 7/8 ... [2025-12-04 10:13:00.765257][3581.315234047] 2025-12-04T10:13:00.7655352Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:13:00.7658940Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_deterministic.py', '-m', 'serial', '--shard-id=7', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:13:00.765627] 2025-12-04T10:13:10.2634103Z 2025-12-04T10:13:10.2635142Z inductor/test_deterministic 7/8 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_deterministic_7.8_3221589146a5e918_.log 2025-12-04T10:13:10.2636397Z Running 0 items in this shard: 2025-12-04T10:13:10.2636956Z 2025-12-04T10:13:10.2637343Z Finished inductor/test_deterministic 7/8 ... [2025-12-04 10:13:10.263207][3590.813181412], took 0.16min 2025-12-04T10:13:10.2712911Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_deterministic/inductor.test_deterministic-bbf370507655800e.xml 2025-12-04T10:13:10.3306759Z Running inductor/test_decompose_mem_bound_mm 1/1 ... [2025-12-04 10:13:10.330458][3590.880433347] 2025-12-04T10:13:10.3307366Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:13:10.3311052Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_decompose_mem_bound_mm.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:13:10.330845] 2025-12-04T10:13:19.8139025Z 2025-12-04T10:13:19.8140175Z 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_708e556ba322f4ce_.log 2025-12-04T10:13:19.8141219Z Running 0 items in this shard: 2025-12-04T10:13:19.8141425Z 2025-12-04T10:13:19.8141828Z Finished inductor/test_decompose_mem_bound_mm 1/1 ... [2025-12-04 10:13:19.813737][3600.363711415], took 0.16min 2025-12-04T10:13:19.8218897Z 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-ba66eb5a89305e80.xml 2025-12-04T10:13:19.9018297Z Running inductor/test_op_dtype_prop 1/2 ... [2025-12-04 10:13:19.901572][3600.451547902] 2025-12-04T10:13:19.9018891Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:13:19.9022175Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_op_dtype_prop.py', '-m', 'serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:13:19.901958] 2025-12-04T10:13:31.5862679Z 2025-12-04T10:13:31.5863812Z inductor/test_op_dtype_prop 1/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_op_dtype_prop_1.2_f056f5b19471fb08_.log 2025-12-04T10:13:31.5864822Z Running 0 items in this shard: 2025-12-04T10:13:31.5865049Z 2025-12-04T10:13:31.5865394Z Finished inductor/test_op_dtype_prop 1/2 ... [2025-12-04 10:13:31.586102][3612.13607459], took 0.19min 2025-12-04T10:13:31.5945586Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-40d6c699d630c4d5.xml 2025-12-04T10:13:31.6728161Z Running inductor/test_padding 1/1 ... [2025-12-04 10:13:31.672551][3612.222525144] 2025-12-04T10:13:31.6728709Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:13:31.6732254Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_padding.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:13:31.672953] 2025-12-04T10:13:41.1256660Z 2025-12-04T10:13:41.1257660Z inductor/test_padding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_padding_1.1_cc9764eeaad5f0dc_.log 2025-12-04T10:13:41.1258611Z Running 0 items in this shard: 2025-12-04T10:13:41.1258832Z 2025-12-04T10:13:41.1259168Z Finished inductor/test_padding 1/1 ... [2025-12-04 10:13:41.125486][3621.675459893], took 0.16min 2025-12-04T10:13:41.1340277Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_padding/inductor.test_padding-06b93d337355ecbc.xml 2025-12-04T10:13:41.2108395Z Running dynamo/test_aot_compile 1/1 ... [2025-12-04 10:13:41.210553][3621.760527595] 2025-12-04T10:13:41.2109270Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:13:41.2112565Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_aot_compile.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:13:41.210969] 2025-12-04T10:13:46.1196871Z 2025-12-04T10:13:46.1197844Z dynamo/test_aot_compile 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_aot_compile_1.1_5acabfd435876e8c_.log 2025-12-04T10:13:46.1198779Z Running 0 items in this shard: 2025-12-04T10:13:46.1198997Z 2025-12-04T10:13:46.1199334Z Finished dynamo/test_aot_compile 1/1 ... [2025-12-04 10:13:46.119453][3626.669426582], took 0.08min 2025-12-04T10:13:46.1280871Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_aot_compile/dynamo.test_aot_compile-41c35dd16568dbf3.xml 2025-12-04T10:13:46.1606895Z Running dynamo/test_sets 1/1 ... [2025-12-04 10:13:46.160390][3626.71036557] 2025-12-04T10:13:46.1607470Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:13:46.1610585Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_sets.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:13:46.160808] 2025-12-04T10:13:51.1920922Z 2025-12-04T10:13:51.1921901Z dynamo/test_sets 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_sets_1.1_6d3df1744d91e37c_.log 2025-12-04T10:13:51.1922771Z Running 0 items in this shard: 2025-12-04T10:13:51.1922990Z 2025-12-04T10:13:51.1923312Z Finished dynamo/test_sets 1/1 ... [2025-12-04 10:13:51.191910][3631.74188434], took 0.08min 2025-12-04T10:13:51.2007089Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_sets/dynamo.test_sets-3bf2113b9bc48168.xml 2025-12-04T10:13:51.2297498Z Running dynamo/test_wrap_inductor_compiled_regions 1/1 ... [2025-12-04 10:13:51.229480][3631.779456181] 2025-12-04T10:13:51.2298143Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:13:51.2301340Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_wrap_inductor_compiled_regions.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:13:51.229861] 2025-12-04T10:14:00.7543022Z 2025-12-04T10:14:00.7544287Z dynamo/test_wrap_inductor_compiled_regions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_wrap_inductor_compiled_regions_1.1_9d46e825ea3c337d_.log 2025-12-04T10:14:00.7545379Z Running 0 items in this shard: 2025-12-04T10:14:00.7545620Z 2025-12-04T10:14:00.7546041Z Finished dynamo/test_wrap_inductor_compiled_regions 1/1 ... [2025-12-04 10:14:00.754155][3641.304130129], took 0.16min 2025-12-04T10:14:00.7631334Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_wrap_inductor_compiled_regions/dynamo.test_wrap_inductor_compiled_regions-82ea3dae5e1b510f.xml 2025-12-04T10:14:00.8469888Z Running dynamo/test_callback 1/1 ... [2025-12-04 10:14:00.846704][3641.396678478] 2025-12-04T10:14:00.8470438Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:14:00.8473399Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_callback.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:14:00.847084] 2025-12-04T10:14:10.4006849Z 2025-12-04T10:14:10.4008280Z dynamo/test_callback 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_callback_1.1_7ce883e6389b9fca_.log 2025-12-04T10:14:10.4009324Z Running 0 items in this shard: 2025-12-04T10:14:10.4009546Z 2025-12-04T10:14:10.4009862Z Finished dynamo/test_callback 1/1 ... [2025-12-04 10:14:10.400492][3650.950466006], took 0.16min 2025-12-04T10:14:10.4096224Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_callback/dynamo.test_callback-e9854a2334f05ad4.xml 2025-12-04T10:14:10.5131787Z Running dynamo/test_compiler_bisector 1/1 ... [2025-12-04 10:14:10.512858][3651.062833543] 2025-12-04T10:14:10.5132378Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:14:10.5134947Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_compiler_bisector.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:14:10.513222] 2025-12-04T10:14:19.9685222Z 2025-12-04T10:14:19.9686427Z dynamo/test_compiler_bisector 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_compiler_bisector_1.1_6891cf058b64f39a_.log 2025-12-04T10:14:19.9687480Z Running 0 items in this shard: 2025-12-04T10:14:19.9687695Z 2025-12-04T10:14:19.9688083Z Finished dynamo/test_compiler_bisector 1/1 ... [2025-12-04 10:14:19.968310][3660.518284879], took 0.16min 2025-12-04T10:14:19.9776088Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_compiler_bisector/dynamo.test_compiler_bisector-f364329305d28238.xml 2025-12-04T10:14:20.0505791Z Running inductor/test_custom_op_autotune 1/1 ... [2025-12-04 10:14:20.050367][3660.600342615] 2025-12-04T10:14:20.0506395Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:14:20.0509776Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_custom_op_autotune.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:14:20.050718] 2025-12-04T10:14:29.5124542Z 2025-12-04T10:14:29.5125641Z inductor/test_custom_op_autotune 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_custom_op_autotune_1.1_06f172206f057357_.log 2025-12-04T10:14:29.5126662Z Running 0 items in this shard: 2025-12-04T10:14:29.5126887Z 2025-12-04T10:14:29.5127286Z Finished inductor/test_custom_op_autotune 1/1 ... [2025-12-04 10:14:29.512255][3670.062230383], took 0.16min 2025-12-04T10:14:29.5217803Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_custom_op_autotune/inductor.test_custom_op_autotune-9b670a414b79aa99.xml 2025-12-04T10:14:29.5925670Z Running inductor/test_cudagraph_trees_expandable_segments 1/1 ... [2025-12-04 10:14:29.592319][3670.142294911] 2025-12-04T10:14:29.5926360Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:14:29.5929634Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cudagraph_trees_expandable_segments.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:14:29.592681] 2025-12-04T10:14:39.2226932Z 2025-12-04T10:14:39.2228330Z inductor/test_cudagraph_trees_expandable_segments 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudagraph_trees_expandable_segments_1.1_290720aaf1553568_.log 2025-12-04T10:14:39.2229502Z Running 0 items in this shard: 2025-12-04T10:14:39.2229725Z 2025-12-04T10:14:39.2230188Z Finished inductor/test_cudagraph_trees_expandable_segments 1/1 ... [2025-12-04 10:14:39.222477][3679.772452281], took 0.16min 2025-12-04T10:14:39.2322519Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cudagraph_trees_expandable_segments/inductor.test_cudagraph_trees_expandable_segments-a41410902c212d19.xml 2025-12-04T10:14:39.3029871Z Running test_decomp 1/17 ... [2025-12-04 10:14:39.302732][3679.852705356] 2025-12-04T10:14:39.3030358Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:14:39.3033546Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'serial', '--shard-id=1', '--num-shards=17', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:14:39.303104] 2025-12-04T10:15:05.2085789Z 2025-12-04T10:15:05.2086849Z test_decomp 1/17 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_1.17_57dee69722f7360b_.log 2025-12-04T10:15:05.2087764Z Running 0 items in this shard: 2025-12-04T10:15:05.2088022Z 2025-12-04T10:15:05.2088291Z Finished test_decomp 1/17 ... [2025-12-04 10:15:05.208359][3705.758334229], took 0.43min 2025-12-04T10:15:05.2180585Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-4f6b62de5d0125fc.xml 2025-12-04T10:15:05.2818369Z Running test_decomp 6/17 ... [2025-12-04 10:15:05.281523][3705.831497945] 2025-12-04T10:15:05.2818870Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:15:05.2821821Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'serial', '--shard-id=6', '--num-shards=17', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:15:05.281902] 2025-12-04T10:15:31.4532664Z 2025-12-04T10:15:31.4533547Z test_decomp 6/17 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_6.17_6eaa119084d086ae_.log 2025-12-04T10:15:31.4534356Z Running 0 items in this shard: 2025-12-04T10:15:31.4534580Z 2025-12-04T10:15:31.4534856Z Finished test_decomp 6/17 ... [2025-12-04 10:15:31.452858][3732.002832579], took 0.44min 2025-12-04T10:15:31.4627626Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-482c5f1e4f3aa84b.xml 2025-12-04T10:15:31.5491966Z Running test_decomp 11/17 ... [2025-12-04 10:15:31.548917][3732.098891423] 2025-12-04T10:15:31.5492459Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:15:31.5495664Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'serial', '--shard-id=11', '--num-shards=17', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:15:31.549287] 2025-12-04T10:15:57.6492251Z 2025-12-04T10:15:57.6493585Z test_decomp 11/17 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_11.17_3ffbfd7bf52a49a9_.log 2025-12-04T10:15:57.6495050Z Running 0 items in this shard: 2025-12-04T10:15:57.6495460Z 2025-12-04T10:15:57.6495961Z Finished test_decomp 11/17 ... [2025-12-04 10:15:57.649029][3758.199002733], took 0.44min 2025-12-04T10:15:57.6593118Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-b36fbd01c87ad0d5.xml 2025-12-04T10:15:57.7441712Z Running test_decomp 16/17 ... [2025-12-04 10:15:57.743914][3758.293889829] 2025-12-04T10:15:57.7442576Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:15:57.7447713Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'serial', '--shard-id=16', '--num-shards=17', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:15:57.744381] 2025-12-04T10:16:23.7173161Z 2025-12-04T10:16:23.7175124Z test_decomp 16/17 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_16.17_faa9bc87bdf81c7c_.log 2025-12-04T10:16:23.7176809Z Running 0 items in this shard: 2025-12-04T10:16:23.7177208Z 2025-12-04T10:16:23.7177713Z Finished test_decomp 16/17 ... [2025-12-04 10:16:23.717078][3784.267052531], took 0.43min 2025-12-04T10:16:23.7275121Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-d69fe4fe3d70fd7c.xml 2025-12-04T10:16:23.7993673Z Running test_meta 3/5 ... [2025-12-04 10:16:23.799114][3784.349090492] 2025-12-04T10:16:23.7994184Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:16:23.7997866Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_meta.py', '-m', 'serial', '--shard-id=3', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:16:23.799487] 2025-12-04T10:17:52.7565417Z 2025-12-04T10:17:52.7566261Z test_meta 3/5 was successful, full logs can be found in artifacts with path test/test-reports/test_meta_3.5_323c58098281a39a_.log 2025-12-04T10:17:52.7567080Z Running 0 items in this shard: 2025-12-04T10:17:52.7567303Z 2025-12-04T10:17:52.7567695Z Finished test_meta 3/5 ... [2025-12-04 10:17:52.756314][3873.306287669], took 1.48min 2025-12-04T10:17:52.7666240Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_meta/test_meta-557024f97a13eb08.xml 2025-12-04T10:17:52.8450094Z Running test_ops_jit 2/2 ... [2025-12-04 10:17:52.844693][3873.394666027] 2025-12-04T10:17:52.8450608Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:17:52.8453707Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops_jit.py', '-m', 'serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:17:52.845096] 2025-12-04T10:18:02.9294686Z 2025-12-04T10:18:02.9296274Z test_ops_jit 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_jit_2.2_55dc9d2f6f8c73d9_.log 2025-12-04T10:18:02.9297752Z Running 0 items in this shard: 2025-12-04T10:18:02.9298151Z 2025-12-04T10:18:02.9298624Z Finished test_ops_jit 2/2 ... [2025-12-04 10:18:02.929225][3883.479201329], took 0.17min 2025-12-04T10:18:02.9399056Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_jit/test_ops_jit-709776681c798102.xml 2025-12-04T10:18:03.0188458Z Running test_nestedtensor 2/4 ... [2025-12-04 10:18:03.018527][3883.568502555] 2025-12-04T10:18:03.0189292Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:18:03.0193478Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_nestedtensor.py', '-m', 'serial', '--shard-id=2', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:18:03.018955] 2025-12-04T10:18:14.4879501Z 2025-12-04T10:18:14.4880587Z test_nestedtensor 2/4 was successful, full logs can be found in artifacts with path test/test-reports/test_nestedtensor_2.4_5aeb7bda954ef148_.log 2025-12-04T10:18:14.4881474Z Running 0 items in this shard: 2025-12-04T10:18:14.4881693Z 2025-12-04T10:18:14.4882019Z Finished test_nestedtensor 2/4 ... [2025-12-04 10:18:14.487730][3895.037703361], took 0.19min 2025-12-04T10:18:14.4983055Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_nestedtensor/test_nestedtensor-dcdf4311006d756a.xml 2025-12-04T10:18:14.5800374Z Running test_ops 4/11 ... [2025-12-04 10:18:14.579750][3895.12972488] 2025-12-04T10:18:14.5800861Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:18:14.5804753Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops.py', '-m', 'serial', '--shard-id=4', '--num-shards=11', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:18:14.580164] 2025-12-04T10:19:34.7724509Z 2025-12-04T10:19:34.7725380Z test_ops 4/11 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_4.11_847145e8199e22c9_.log 2025-12-04T10:19:34.7726140Z Running 0 items in this shard: 2025-12-04T10:19:34.7726374Z 2025-12-04T10:19:34.7726633Z Finished test_ops 4/11 ... [2025-12-04 10:19:34.772244][3975.322217832], took 1.34min 2025-12-04T10:19:34.7829908Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-e87ef5c210aaa635.xml 2025-12-04T10:19:34.8573957Z Running test_ops 7/11 ... [2025-12-04 10:19:34.857158][3975.407133368] 2025-12-04T10:19:34.8574419Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:19:34.8577777Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops.py', '-m', 'serial', '--shard-id=7', '--num-shards=11', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:19:34.857513] 2025-12-04T10:20:54.6960788Z 2025-12-04T10:20:54.6961630Z test_ops 7/11 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_7.11_6b56c258382c945e_.log 2025-12-04T10:20:54.6962405Z Running 0 items in this shard: 2025-12-04T10:20:54.6962621Z 2025-12-04T10:20:54.6962890Z Finished test_ops 7/11 ... [2025-12-04 10:20:54.695529][4055.245497627], took 1.33min 2025-12-04T10:20:54.7063642Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-7687063a4786424c.xml 2025-12-04T10:20:54.7792414Z Running functorch/test_ops 1/7 ... [2025-12-04 10:20:54.779020][4055.328996063] 2025-12-04T10:20:54.7792946Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:20:54.7796854Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=7', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:20:54.779384] 2025-12-04T10:21:23.1559756Z 2025-12-04T10:21:23.1562519Z functorch/test_ops 1/7 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_1.7_7bd68b639f88ff23_.log 2025-12-04T10:21:23.1563415Z Running 0 items in this shard: 2025-12-04T10:21:23.1563636Z 2025-12-04T10:21:23.1563948Z Finished functorch/test_ops 1/7 ... [2025-12-04 10:21:23.155727][4083.705701758], took 0.47min 2025-12-04T10:21:23.1667012Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_ops/functorch.test_ops-fb158d57260fead2.xml 2025-12-04T10:21:23.2440550Z Running functorch/test_ops 4/7 ... [2025-12-04 10:21:23.243754][4083.793727123] 2025-12-04T10:21:23.2441102Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:21:23.2444332Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'serial', '--shard-id=4', '--num-shards=7', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:21:23.244152] 2025-12-04T10:21:51.5033496Z 2025-12-04T10:21:51.5034416Z functorch/test_ops 4/7 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_4.7_3a7aa4c1edc08ff7_.log 2025-12-04T10:21:51.5035316Z Running 0 items in this shard: 2025-12-04T10:21:51.5035551Z 2025-12-04T10:21:51.5036059Z Finished functorch/test_ops 4/7 ... [2025-12-04 10:21:51.503139][4112.05311471], took 0.47min 2025-12-04T10:21:51.5150925Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_ops/functorch.test_ops-548f65359c787676.xml 2025-12-04T10:21:51.5924633Z Running inductor/test_cpu_repro 2/3 ... [2025-12-04 10:21:51.592207][4112.142181967] 2025-12-04T10:21:51.5925482Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:21:51.5928546Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cpu_repro.py', '-m', 'serial', '--shard-id=2', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:21:51.592571] 2025-12-04T10:22:04.7060708Z 2025-12-04T10:22:04.7061697Z inductor/test_cpu_repro 2/3 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_repro_2.3_a742d88497cee48e_.log 2025-12-04T10:22:04.7062615Z Running 0 items in this shard: 2025-12-04T10:22:04.7062830Z 2025-12-04T10:22:04.7063191Z Finished inductor/test_cpu_repro 2/3 ... [2025-12-04 10:22:04.705654][4125.255627717], took 0.22min 2025-12-04T10:22:04.7169211Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cpu_repro/inductor.test_cpu_repro-4d1415c8e7cbe4be.xml 2025-12-04T10:22:04.7943586Z Running dynamo/test_after_aot 1/1 ... [2025-12-04 10:22:04.794113][4125.344087758] 2025-12-04T10:22:04.7944123Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:22:04.7947624Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_after_aot.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:22:04.794481] 2025-12-04T10:22:09.7124437Z 2025-12-04T10:22:09.7125535Z dynamo/test_after_aot 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_after_aot_1.1_52e2ace373525254_.log 2025-12-04T10:22:09.7126428Z Running 0 items in this shard: 2025-12-04T10:22:09.7126695Z 2025-12-04T10:22:09.7127028Z Finished dynamo/test_after_aot 1/1 ... [2025-12-04 10:22:09.712245][4130.262220061], took 0.08min 2025-12-04T10:22:09.7235044Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_after_aot/dynamo.test_after_aot-15739729d0812474.xml 2025-12-04T10:22:09.7516194Z Running inductor/test_snode_runtime 1/1 ... [2025-12-04 10:22:09.751412][4130.301387663] 2025-12-04T10:22:09.7516774Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:22:09.7520442Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_snode_runtime.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:22:09.751778] 2025-12-04T10:22:19.1473307Z 2025-12-04T10:22:19.1474396Z inductor/test_snode_runtime 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_snode_runtime_1.1_3e1c3cb1f3f2ac50_.log 2025-12-04T10:22:19.1475388Z Running 0 items in this shard: 2025-12-04T10:22:19.1475820Z 2025-12-04T10:22:19.1476190Z Finished inductor/test_snode_runtime 1/1 ... [2025-12-04 10:22:19.147147][4139.697121978], took 0.16min 2025-12-04T10:22:19.1587100Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_snode_runtime/inductor.test_snode_runtime-4c334bfdb215caaa.xml 2025-12-04T10:22:19.2529447Z Running inductor/test_minifier 1/1 ... [2025-12-04 10:22:19.252672][4139.802646513] 2025-12-04T10:22:19.2529990Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:22:19.2533757Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_minifier.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:22:19.253059] 2025-12-04T10:22:28.9494035Z 2025-12-04T10:22:28.9494949Z inductor/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_minifier_1.1_acb948a3cc64fed5_.log 2025-12-04T10:22:28.9496171Z Running 0 items in this shard: 2025-12-04T10:22:28.9496380Z 2025-12-04T10:22:28.9496718Z Finished inductor/test_minifier 1/1 ... [2025-12-04 10:22:28.949218][4149.499192266], took 0.16min 2025-12-04T10:22:28.9608312Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_minifier/inductor.test_minifier-44f892f6042013ec.xml 2025-12-04T10:22:29.0393774Z Running inductor/test_compiled_autograd 1/1 ... [2025-12-04 10:22:29.039126][4149.589100091] 2025-12-04T10:22:29.0394376Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:22:29.0397817Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_compiled_autograd.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:22:29.039482] 2025-12-04T10:22:43.8421710Z 2025-12-04T10:22:43.8423297Z inductor/test_compiled_autograd 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compiled_autograd_1.1_343f81a742bc2774_.log 2025-12-04T10:22:43.8424895Z Running 0 items in this shard: 2025-12-04T10:22:43.8425258Z 2025-12-04T10:22:43.8425880Z Finished inductor/test_compiled_autograd 1/1 ... [2025-12-04 10:22:43.841971][4164.391945961], took 0.25min 2025-12-04T10:22:43.8539447Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compiled_autograd/inductor.test_compiled_autograd-4a740a733b4b5acd.xml 2025-12-04T10:22:43.9430611Z Running inductor/test_cpu_select_algorithm 1/1 ... [2025-12-04 10:22:43.942829][4164.492806046] 2025-12-04T10:22:43.9431252Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:22:43.9434294Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cpu_select_algorithm.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:22:43.943174] 2025-12-04T10:22:55.5037594Z 2025-12-04T10:22:55.5038724Z inductor/test_cpu_select_algorithm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_select_algorithm_1.1_af684ffd48fed9d4_.log 2025-12-04T10:22:55.5039767Z Running 0 items in this shard: 2025-12-04T10:22:55.5040001Z 2025-12-04T10:22:55.5040397Z Finished inductor/test_cpu_select_algorithm 1/1 ... [2025-12-04 10:22:55.503515][4176.05348985], took 0.19min 2025-12-04T10:22:55.5153279Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cpu_select_algorithm/inductor.test_cpu_select_algorithm-65763ffefbeb8f94.xml 2025-12-04T10:22:55.6045878Z Running inductor/test_b2b_gemm 1/1 ... [2025-12-04 10:22:55.604321][4176.154296011] 2025-12-04T10:22:55.6046491Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:22:55.6049826Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_b2b_gemm.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:22:55.604690] 2025-12-04T10:23:04.9952471Z 2025-12-04T10:23:04.9953457Z inductor/test_b2b_gemm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_b2b_gemm_1.1_28a6e6f30259bb8a_.log 2025-12-04T10:23:04.9954352Z Running 0 items in this shard: 2025-12-04T10:23:04.9954563Z 2025-12-04T10:23:04.9955180Z Finished inductor/test_b2b_gemm 1/1 ... [2025-12-04 10:23:04.995074][4185.54504928], took 0.16min 2025-12-04T10:23:05.0069912Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_b2b_gemm/inductor.test_b2b_gemm-810a9a93c440bcff.xml 2025-12-04T10:23:05.0805097Z Running dynamo/test_einops 1/1 ... [2025-12-04 10:23:05.080271][4185.630246693] 2025-12-04T10:23:05.0805646Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:23:05.0809079Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_einops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:23:05.080632] 2025-12-04T10:23:09.6734835Z 2025-12-04T10:23:09.6735787Z dynamo/test_einops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_einops_1.1_2fb24937ae654579_.log 2025-12-04T10:23:09.6736634Z Running 0 items in this shard: 2025-12-04T10:23:09.6736889Z 2025-12-04T10:23:09.6737206Z Finished dynamo/test_einops 1/1 ... [2025-12-04 10:23:09.673294][4190.223269791], took 0.08min 2025-12-04T10:23:09.6855766Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_einops/dynamo.test_einops-5b80177d11073e88.xml 2025-12-04T10:23:09.7175101Z Running inductor/test_external_callables 1/1 ... [2025-12-04 10:23:09.717324][4190.267299864] 2025-12-04T10:23:09.7175678Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:23:09.7179154Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_external_callables.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:23:09.717670] 2025-12-04T10:23:14.5342597Z 2025-12-04T10:23:14.5343878Z inductor/test_external_callables 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_external_callables_1.1_a540c85ceefb57c5_.log 2025-12-04T10:23:14.5344891Z Running 0 items in this shard: 2025-12-04T10:23:14.5345131Z 2025-12-04T10:23:14.5345519Z Finished inductor/test_external_callables 1/1 ... [2025-12-04 10:23:14.534058][4195.084032189], took 0.08min 2025-12-04T10:23:14.5465116Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_external_callables/inductor.test_external_callables-a98c9fececa479cd.xml 2025-12-04T10:23:14.5824201Z Running test_testing 1/1 ... [2025-12-04 10:23:14.582214][4195.13219056] 2025-12-04T10:23:14.5824702Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:23:14.5828022Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_testing.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:23:14.582561] 2025-12-04T10:23:27.0043175Z 2025-12-04T10:23:27.0044072Z test_testing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_testing_1.1_fc051d083aa44d59_.log 2025-12-04T10:23:27.0044924Z Running 0 items in this shard: 2025-12-04T10:23:27.0045139Z 2025-12-04T10:23:27.0045430Z Finished test_testing 1/1 ... [2025-12-04 10:23:27.004131][4207.554104818], took 0.21min 2025-12-04T10:23:27.0166772Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_testing/test_testing-f04f11bd29136f31.xml 2025-12-04T10:23:27.0973987Z Running dynamo/test_fx_passes_pre_grad 1/1 ... [2025-12-04 10:23:27.097110][4207.647083702] 2025-12-04T10:23:27.0974561Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:23:27.0978012Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_fx_passes_pre_grad.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:23:27.097489] 2025-12-04T10:23:31.6948938Z 2025-12-04T10:23:31.6949959Z dynamo/test_fx_passes_pre_grad 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_fx_passes_pre_grad_1.1_ca0c9a0267713972_.log 2025-12-04T10:23:31.6950920Z Running 0 items in this shard: 2025-12-04T10:23:31.6951132Z 2025-12-04T10:23:31.6951505Z Finished dynamo/test_fx_passes_pre_grad 1/1 ... [2025-12-04 10:23:31.694693][4212.244669232], took 0.08min 2025-12-04T10:23:31.7073951Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_fx_passes_pre_grad/dynamo.test_fx_passes_pre_grad-f4db260cf72f193f.xml 2025-12-04T10:23:31.7333955Z Running export/test_strict_export_v2 1/1 ... [2025-12-04 10:23:31.733207][4212.283183009] 2025-12-04T10:23:31.7334515Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:23:31.7338029Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_strict_export_v2.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:23:31.733554] 2025-12-04T10:23:42.4470143Z 2025-12-04T10:23:42.4471293Z export/test_strict_export_v2 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_strict_export_v2_1.1_8fd7ea02e8fedd5b_.log 2025-12-04T10:23:42.4472248Z Running 0 items in this shard: 2025-12-04T10:23:42.4472471Z 2025-12-04T10:23:42.4472820Z Finished export/test_strict_export_v2 1/1 ... [2025-12-04 10:23:42.446821][4222.996797094], took 0.18min 2025-12-04T10:23:42.4597001Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_strict_export_v2/export.test_strict_export_v2-cf4a503d3b829a8b.xml 2025-12-04T10:23:42.5311636Z Running inductor/test_flex_flash 1/1 ... [2025-12-04 10:23:42.530929][4223.080904822] 2025-12-04T10:23:42.5312182Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:23:42.5315364Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_flash.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:23:42.531284] 2025-12-04T10:23:50.4286465Z 2025-12-04T10:23:50.4287714Z inductor/test_flex_flash 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_flash_1.1_06552365721494a2_.log 2025-12-04T10:23:50.4288701Z Running 0 items in this shard: 2025-12-04T10:23:50.4288932Z 2025-12-04T10:23:50.4289343Z Finished inductor/test_flex_flash 1/1 ... [2025-12-04 10:23:50.428450][4230.97842635], took 0.13min 2025-12-04T10:23:50.4416843Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_flash/inductor.test_flex_flash-6d9a1f176a7f6b28.xml 2025-12-04T10:23:50.5259357Z Running inductor/test_segmented_tree 1/1 ... [2025-12-04 10:23:50.525669][4231.07564395] 2025-12-04T10:23:50.5259929Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:23:50.5263102Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_segmented_tree.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:23:50.526036] 2025-12-04T10:23:55.0511922Z 2025-12-04T10:23:55.0512936Z inductor/test_segmented_tree 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_segmented_tree_1.1_c2b077136891d461_.log 2025-12-04T10:23:55.0513903Z Running 0 items in this shard: 2025-12-04T10:23:55.0514112Z 2025-12-04T10:23:55.0514819Z Finished inductor/test_segmented_tree 1/1 ... [2025-12-04 10:23:55.051011][4235.600985989], took 0.08min 2025-12-04T10:23:55.0641874Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_segmented_tree/inductor.test_segmented_tree-d67b5934938b0c08.xml 2025-12-04T10:23:55.0911599Z Running inductor/test_kernel_optimization 1/1 ... [2025-12-04 10:23:55.090959][4235.640934078] 2025-12-04T10:23:55.0912221Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:23:55.0916025Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_kernel_optimization.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:23:55.091325] 2025-12-04T10:24:04.6217286Z 2025-12-04T10:24:04.6218430Z inductor/test_kernel_optimization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_kernel_optimization_1.1_926aa423f13c8a04_.log 2025-12-04T10:24:04.6219450Z Running 0 items in this shard: 2025-12-04T10:24:04.6219678Z 2025-12-04T10:24:04.6220080Z Finished inductor/test_kernel_optimization 1/1 ... [2025-12-04 10:24:04.621569][4245.171544462], took 0.16min 2025-12-04T10:24:04.6346569Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_kernel_optimization/inductor.test_kernel_optimization-dbdf453b6458e3af.xml 2025-12-04T10:24:04.7117002Z Running inductor/test_metrics 1/1 ... [2025-12-04 10:24:04.711435][4245.261411926] 2025-12-04T10:24:04.7117567Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:24:04.7121315Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_metrics.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:24:04.711811] 2025-12-04T10:24:14.1325067Z 2025-12-04T10:24:14.1326070Z inductor/test_metrics 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_metrics_1.1_6c5ce32d434cc5b4_.log 2025-12-04T10:24:14.1327046Z Running 0 items in this shard: 2025-12-04T10:24:14.1327262Z 2025-12-04T10:24:14.1327734Z Finished inductor/test_metrics 1/1 ... [2025-12-04 10:24:14.132325][4254.682297637], took 0.16min 2025-12-04T10:24:14.1456029Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_metrics/inductor.test_metrics-b790ed9657de62d9.xml 2025-12-04T10:24:14.2745342Z Running export/test_unflatten_training_ir 1/1 ... [2025-12-04 10:24:14.274211][4254.824184928] 2025-12-04T10:24:14.2745963Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:24:14.2748796Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_unflatten_training_ir.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:24:14.274588] 2025-12-04T10:24:18.8803300Z 2025-12-04T10:24:18.8804431Z export/test_unflatten_training_ir 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_unflatten_training_ir_1.1_f7d70b6e6cd60ff5_.log 2025-12-04T10:24:18.8805460Z Running 0 items in this shard: 2025-12-04T10:24:18.8805698Z 2025-12-04T10:24:18.8806096Z Finished export/test_unflatten_training_ir 1/1 ... [2025-12-04 10:24:18.880127][4259.430102894], took 0.08min 2025-12-04T10:24:18.8937413Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_unflatten_training_ir/export.test_unflatten_training_ir-666b30cc2a43d97b.xml 2025-12-04T10:24:18.9222012Z Running inductor/test_fx_fusion 1/1 ... [2025-12-04 10:24:18.922034][4259.472010921] 2025-12-04T10:24:18.9222872Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:24:18.9225995Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_fx_fusion.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:24:18.922368] 2025-12-04T10:24:24.5051021Z 2025-12-04T10:24:24.5052006Z 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_fc5e06692a509c08_.log 2025-12-04T10:24:24.5052927Z Running 0 items in this shard: 2025-12-04T10:24:24.5053136Z 2025-12-04T10:24:24.5053461Z Finished inductor/test_fx_fusion 1/1 ... [2025-12-04 10:24:24.504884][4265.054858917], took 0.09min 2025-12-04T10:24:24.5185988Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_fx_fusion/inductor.test_fx_fusion-570645f43ee1f4b6.xml 2025-12-04T10:24:24.5457001Z Running dynamo/test_inline_and_install 1/1 ... [2025-12-04 10:24:24.545516][4265.095492307] 2025-12-04T10:24:24.5457588Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:24:24.5460987Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_inline_and_install.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:24:24.545859] 2025-12-04T10:24:31.9442220Z 2025-12-04T10:24:31.9443271Z 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_62b3c25d7e9e5256_.log 2025-12-04T10:24:31.9444278Z Running 0 items in this shard: 2025-12-04T10:24:31.9444495Z 2025-12-04T10:24:31.9444877Z Finished dynamo/test_inline_and_install 1/1 ... [2025-12-04 10:24:31.944027][4272.49400274], took 0.12min 2025-12-04T10:24:31.9579835Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_inline_and_install/dynamo.test_inline_and_install-ea50d366e75eaf96.xml 2025-12-04T10:24:32.0304428Z Running export/test_functionalized_assertions 1/1 ... [2025-12-04 10:24:32.030229][4272.580204549] 2025-12-04T10:24:32.0305065Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:24:32.0308214Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_functionalized_assertions.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:24:32.030561] 2025-12-04T10:24:36.5503753Z 2025-12-04T10:24:36.5504870Z export/test_functionalized_assertions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_functionalized_assertions_1.1_a0e45555bd249c07_.log 2025-12-04T10:24:36.5505965Z Running 0 items in this shard: 2025-12-04T10:24:36.5506190Z 2025-12-04T10:24:36.5506597Z Finished export/test_functionalized_assertions 1/1 ... [2025-12-04 10:24:36.550159][4277.100133351], took 0.08min 2025-12-04T10:24:36.5642203Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_functionalized_assertions/export.test_functionalized_assertions-3fe4eeaaa4d1dbd0.xml 2025-12-04T10:24:36.5896793Z Running inductor/test_selective_lowering 1/1 ... [2025-12-04 10:24:36.589467][4277.139443552] 2025-12-04T10:24:36.5897386Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:24:36.5900714Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_selective_lowering.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:24:36.589801] 2025-12-04T10:24:46.0612552Z 2025-12-04T10:24:46.0614193Z inductor/test_selective_lowering 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_selective_lowering_1.1_6a53618e1dcbb309_.log 2025-12-04T10:24:46.0616018Z Running 0 items in this shard: 2025-12-04T10:24:46.0616360Z 2025-12-04T10:24:46.0616949Z Finished inductor/test_selective_lowering 1/1 ... [2025-12-04 10:24:46.060999][4286.610974596], took 0.16min 2025-12-04T10:24:46.0753595Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_selective_lowering/inductor.test_selective_lowering-7b4ead942d337632.xml 2025-12-04T10:24:46.1491538Z Running dynamo/test_base_output 1/1 ... [2025-12-04 10:24:46.148885][4286.698859239] 2025-12-04T10:24:46.1492083Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:24:46.1495070Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_base_output.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:24:46.149255] 2025-12-04T10:24:51.0537218Z 2025-12-04T10:24:51.0538205Z dynamo/test_base_output 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_base_output_1.1_9e8c28b7f1a1f6ca_.log 2025-12-04T10:24:51.0539117Z Running 0 items in this shard: 2025-12-04T10:24:51.0539328Z 2025-12-04T10:24:51.0539673Z Finished dynamo/test_base_output 1/1 ... [2025-12-04 10:24:51.053512][4291.603487253], took 0.08min 2025-12-04T10:24:51.0680087Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_base_output/dynamo.test_base_output-95454288f46e67ae.xml 2025-12-04T10:24:51.0960129Z Running inductor/test_cooperative_reductions 1/1 ... [2025-12-04 10:24:51.095775][4291.645750945] 2025-12-04T10:24:51.0960774Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:24:51.0964074Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cooperative_reductions.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:24:51.096120] 2025-12-04T10:25:01.0541558Z 2025-12-04T10:25:01.0542769Z inductor/test_cooperative_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cooperative_reductions_1.1_e928d30bf2afbb28_.log 2025-12-04T10:25:01.0543841Z Running 0 items in this shard: 2025-12-04T10:25:01.0544051Z 2025-12-04T10:25:01.0544464Z Finished inductor/test_cooperative_reductions 1/1 ... [2025-12-04 10:25:01.053978][4301.603952677], took 0.17min 2025-12-04T10:25:01.0685812Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cooperative_reductions/inductor.test_cooperative_reductions-d3ef3f6a426776d4.xml 2025-12-04T10:25:01.1452190Z Running export/test_serialize 1/1 ... [2025-12-04 10:25:01.144947][4301.694921902] 2025-12-04T10:25:01.1452773Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:25:01.1455553Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_serialize.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:25:01.145299] 2025-12-04T10:25:10.8654398Z 2025-12-04T10:25:10.8655420Z export/test_serialize 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_serialize_1.1_9f3e5b5452784595_.log 2025-12-04T10:25:10.8656300Z Running 0 items in this shard: 2025-12-04T10:25:10.8656525Z 2025-12-04T10:25:10.8656845Z Finished export/test_serialize 1/1 ... [2025-12-04 10:25:10.865263][4311.415238466], took 0.16min 2025-12-04T10:25:10.8800085Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_serialize/export.test_serialize-fb75571cd7ce6945.xml 2025-12-04T10:25:10.9522245Z Running inductor/test_cutedsl_template 1/1 ... [2025-12-04 10:25:10.951937][4311.501911416] 2025-12-04T10:25:10.9522862Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:25:10.9525887Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cutedsl_template.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:25:10.952308] 2025-12-04T10:25:20.3598185Z 2025-12-04T10:25:20.3599259Z inductor/test_cutedsl_template 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cutedsl_template_1.1_3f34c080857b79dd_.log 2025-12-04T10:25:20.3600465Z Running 0 items in this shard: 2025-12-04T10:25:20.3600719Z 2025-12-04T10:25:20.3601115Z Finished inductor/test_cutedsl_template 1/1 ... [2025-12-04 10:25:20.359638][4320.909612811], took 0.16min 2025-12-04T10:25:20.3744615Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cutedsl_template/inductor.test_cutedsl_template-809c5a5a2089a5c0.xml 2025-12-04T10:25:20.4498153Z Running inductor/test_inductor_scheduler 1/1 ... [2025-12-04 10:25:20.449551][4320.999526087] 2025-12-04T10:25:20.4498751Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:25:20.4501760Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_inductor_scheduler.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:25:20.449911] 2025-12-04T10:25:31.7590125Z 2025-12-04T10:25:31.7591247Z 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_d1e4bc3f264f0ee3_.log 2025-12-04T10:25:31.7592270Z Running 0 items in this shard: 2025-12-04T10:25:31.7592493Z 2025-12-04T10:25:31.7592876Z Finished inductor/test_inductor_scheduler 1/1 ... [2025-12-04 10:25:31.758798][4332.308773155], took 0.19min 2025-12-04T10:25:31.7737612Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_inductor_scheduler/inductor.test_inductor_scheduler-8fd851d91420b5cc.xml 2025-12-04T10:25:31.8669010Z Running inductor/test_move_constructors_to_gpu 1/1 ... [2025-12-04 10:25:31.866664][4332.416640033] 2025-12-04T10:25:31.8669646Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:25:31.8672673Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_move_constructors_to_gpu.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:25:31.867009] 2025-12-04T10:25:41.4582609Z 2025-12-04T10:25:41.4583749Z inductor/test_move_constructors_to_gpu 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_move_constructors_to_gpu_1.1_858008094e0276b3_.log 2025-12-04T10:25:41.4584792Z Running 0 items in this shard: 2025-12-04T10:25:41.4585001Z 2025-12-04T10:25:41.4585416Z Finished inductor/test_move_constructors_to_gpu 1/1 ... [2025-12-04 10:25:41.458077][4342.008051167], took 0.16min 2025-12-04T10:25:41.4737702Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_move_constructors_to_gpu/inductor.test_move_constructors_to_gpu-5b9f736d784e3bf6.xml 2025-12-04T10:25:41.5584046Z Running export/test_export_strict 1/1 ... [2025-12-04 10:25:41.558111][4342.108085169] 2025-12-04T10:25:41.5584620Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:25:41.5588493Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_export_strict.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:25:41.558535] 2025-12-04T10:25:51.9480766Z 2025-12-04T10:25:51.9481807Z export/test_export_strict 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_export_strict_1.1_5040895fd6e2c743_.log 2025-12-04T10:25:51.9482758Z Running 0 items in this shard: 2025-12-04T10:25:51.9482984Z 2025-12-04T10:25:51.9483331Z Finished export/test_export_strict 1/1 ... [2025-12-04 10:25:51.947896][4352.497869806], took 0.17min 2025-12-04T10:25:51.9634704Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_export_strict/export.test_export_strict-553ddbbf19eb0065.xml 2025-12-04T10:25:52.0490091Z Running dynamo/test_modules 1/1 ... [2025-12-04 10:25:52.048718][4352.598691658] 2025-12-04T10:25:52.0490654Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:25:52.0493466Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_modules.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:25:52.049094] 2025-12-04T10:26:03.6324369Z 2025-12-04T10:26:03.6325322Z dynamo/test_modules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_modules_1.1_9aa34077dbc90fef_.log 2025-12-04T10:26:03.6326216Z Running 0 items in this shard: 2025-12-04T10:26:03.6326433Z 2025-12-04T10:26:03.6326764Z Finished dynamo/test_modules 1/1 ... [2025-12-04 10:26:03.632252][4364.182227744], took 0.19min 2025-12-04T10:26:03.6477647Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_modules/dynamo.test_modules-7c68ea6f881916f3.xml 2025-12-04T10:26:03.7310794Z Running inductor/test_remote_cache 1/1 ... [2025-12-04 10:26:03.730753][4364.280725734] 2025-12-04T10:26:03.7311419Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:26:03.7314112Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_remote_cache.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:26:03.731125] 2025-12-04T10:26:08.4318703Z 2025-12-04T10:26:08.4319726Z inductor/test_remote_cache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_remote_cache_1.1_33d8e489cbae202b_.log 2025-12-04T10:26:08.4320684Z Running 0 items in this shard: 2025-12-04T10:26:08.4320914Z 2025-12-04T10:26:08.4321308Z Finished inductor/test_remote_cache 1/1 ... [2025-12-04 10:26:08.431662][4368.981637029], took 0.08min 2025-12-04T10:26:08.4475093Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_remote_cache/inductor.test_remote_cache-4c1c5eea8a393974.xml 2025-12-04T10:26:08.4758120Z Running inductor/test_coordinate_descent_tuner 1/1 ... [2025-12-04 10:26:08.475483][4369.025456749] 2025-12-04T10:26:08.4758762Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:26:08.4761915Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_coordinate_descent_tuner.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:26:08.475893] 2025-12-04T10:26:17.8351828Z 2025-12-04T10:26:17.8353169Z inductor/test_coordinate_descent_tuner 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_coordinate_descent_tuner_1.1_2d6506184d265533_.log 2025-12-04T10:26:17.8354241Z Running 0 items in this shard: 2025-12-04T10:26:17.8354451Z 2025-12-04T10:26:17.8354990Z Finished inductor/test_coordinate_descent_tuner 1/1 ... [2025-12-04 10:26:17.835000][4378.384974638], took 0.16min 2025-12-04T10:26:17.8511146Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_coordinate_descent_tuner/inductor.test_coordinate_descent_tuner-9be9e7bf2c8bbb85.xml 2025-12-04T10:26:17.9321970Z Running inductor/test_inplace_padding 1/1 ... [2025-12-04 10:26:17.931906][4378.48188047] 2025-12-04T10:26:17.9322585Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:26:17.9325685Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_inplace_padding.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:26:17.932297] 2025-12-04T10:26:29.5903900Z 2025-12-04T10:26:29.5905036Z inductor/test_inplace_padding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inplace_padding_1.1_4902a41c9d7bea02_.log 2025-12-04T10:26:29.5906030Z Running 0 items in this shard: 2025-12-04T10:26:29.5906257Z 2025-12-04T10:26:29.5906621Z Finished inductor/test_inplace_padding 1/1 ... [2025-12-04 10:26:29.590207][4390.140181476], took 0.19min 2025-12-04T10:26:29.6061555Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_inplace_padding/inductor.test_inplace_padding-43deedd794b6f250.xml 2025-12-04T10:26:29.6823304Z Running inductor/test_cudacodecache 1/1 ... [2025-12-04 10:26:29.682122][4390.232098512] 2025-12-04T10:26:29.6823875Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:26:29.6827133Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cudacodecache.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:26:29.682459] 2025-12-04T10:26:39.0078898Z 2025-12-04T10:26:39.0079996Z inductor/test_cudacodecache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudacodecache_1.1_bde74f982857b674_.log 2025-12-04T10:26:39.0080971Z Running 0 items in this shard: 2025-12-04T10:26:39.0081199Z 2025-12-04T10:26:39.0081568Z Finished inductor/test_cudacodecache 1/1 ... [2025-12-04 10:26:39.007684][4399.557657288], took 0.16min 2025-12-04T10:26:39.0239174Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cudacodecache/inductor.test_cudacodecache-7e88f7bcd7778e4d.xml 2025-12-04T10:26:39.1014895Z Running inductor/test_minifier_utils 1/1 ... [2025-12-04 10:26:39.101243][4399.651218599] 2025-12-04T10:26:39.1015500Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:26:39.1018653Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_minifier_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:26:39.101604] 2025-12-04T10:26:43.9802201Z 2025-12-04T10:26:43.9803268Z inductor/test_minifier_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_minifier_utils_1.1_ec1b8330e67829e6_.log 2025-12-04T10:26:43.9804261Z Running 0 items in this shard: 2025-12-04T10:26:43.9804479Z 2025-12-04T10:26:43.9804859Z Finished inductor/test_minifier_utils 1/1 ... [2025-12-04 10:26:43.980040][4404.529993509], took 0.08min 2025-12-04T10:26:43.9960153Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_minifier_utils/inductor.test_minifier_utils-f2382b2cbbae5497.xml 2025-12-04T10:26:44.0264965Z Running inductor/test_debug_trace 1/1 ... [2025-12-04 10:26:44.026331][4404.576307848] 2025-12-04T10:26:44.0265683Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:26:44.0269096Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_debug_trace.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:26:44.026665] 2025-12-04T10:26:55.6293293Z 2025-12-04T10:26:55.6294959Z inductor/test_debug_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_debug_trace_1.1_f9789905111bf5c7_.log 2025-12-04T10:26:55.6296436Z Running 0 items in this shard: 2025-12-04T10:26:55.6296783Z 2025-12-04T10:26:55.6297332Z Finished inductor/test_debug_trace 1/1 ... [2025-12-04 10:26:55.629132][4416.179107184], took 0.19min 2025-12-04T10:26:55.6456743Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_debug_trace/inductor.test_debug_trace-47de0446299845ed.xml 2025-12-04T10:26:55.7076607Z Running dynamo/test_recompiles 1/1 ... [2025-12-04 10:26:55.707360][4416.257334954] 2025-12-04T10:26:55.7077201Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:26:55.7080244Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_recompiles.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:26:55.707751] 2025-12-04T10:27:00.6424863Z 2025-12-04T10:27:00.6425975Z dynamo/test_recompiles 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_recompiles_1.1_ba68772dabccefd2_.log 2025-12-04T10:27:00.6426893Z Running 0 items in this shard: 2025-12-04T10:27:00.6427145Z 2025-12-04T10:27:00.6427494Z Finished dynamo/test_recompiles 1/1 ... [2025-12-04 10:27:00.642305][4421.192280624], took 0.08min 2025-12-04T10:27:00.6588997Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_recompiles/dynamo.test_recompiles-dc18d7abab7223b4.xml 2025-12-04T10:27:00.6873804Z Running inductor/test_foreach 1/1 ... [2025-12-04 10:27:00.687154][4421.23713017] 2025-12-04T10:27:00.6874364Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:27:00.6878034Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_foreach.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:27:00.687505] 2025-12-04T10:27:13.3283164Z 2025-12-04T10:27:13.3284195Z inductor/test_foreach 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_foreach_1.1_0e0bbcad6b792e41_.log 2025-12-04T10:27:13.3285105Z Running 0 items in this shard: 2025-12-04T10:27:13.3285346Z 2025-12-04T10:27:13.3285675Z Finished inductor/test_foreach 1/1 ... [2025-12-04 10:27:13.328138][4433.878113674], took 0.21min 2025-12-04T10:27:13.3452145Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_foreach/inductor.test_foreach-6343191b86ed9d08.xml 2025-12-04T10:27:13.4578462Z Running inductor/test_control_flow 4/4 ... [2025-12-04 10:27:13.457510][4434.007483403] 2025-12-04T10:27:13.4579036Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:27:13.4581765Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_control_flow.py', '-m', 'serial', '--shard-id=4', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:27:13.457893] 2025-12-04T10:27:24.4680636Z 2025-12-04T10:27:24.4681785Z inductor/test_control_flow 4/4 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_control_flow_4.4_001857902055cdb0_.log 2025-12-04T10:27:24.4682912Z Running 0 items in this shard: 2025-12-04T10:27:24.4683142Z 2025-12-04T10:27:24.4683504Z Finished inductor/test_control_flow 4/4 ... [2025-12-04 10:27:24.467812][4445.017786151], took 0.18min 2025-12-04T10:27:24.4848866Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_control_flow/inductor.test_control_flow-9027491158416eb2.xml 2025-12-04T10:27:24.5571885Z Running dynamo/test_graph_region_tracker 1/1 ... [2025-12-04 10:27:24.556892][4445.10686756] 2025-12-04T10:27:24.5572501Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:27:24.5575831Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_graph_region_tracker.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:27:24.557248] 2025-12-04T10:27:29.5546509Z 2025-12-04T10:27:29.5547900Z dynamo/test_graph_region_tracker 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_graph_region_tracker_1.1_94569fa7ae592283_.log 2025-12-04T10:27:29.5548894Z Running 0 items in this shard: 2025-12-04T10:27:29.5549104Z 2025-12-04T10:27:29.5549486Z Finished dynamo/test_graph_region_tracker 1/1 ... [2025-12-04 10:27:29.554457][4450.104432726], took 0.08min 2025-12-04T10:27:29.5707823Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_graph_region_tracker/dynamo.test_graph_region_tracker-fe4bb79bd846e406.xml 2025-12-04T10:27:29.5961700Z Running dynamo/test_unittest 1/1 ... [2025-12-04 10:27:29.595912][4450.145888175] 2025-12-04T10:27:29.5962382Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:27:29.5965448Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_unittest.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:27:29.596244] 2025-12-04T10:27:34.4094513Z 2025-12-04T10:27:34.4095811Z dynamo/test_unittest 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_unittest_1.1_608722bad6c6cb2a_.log 2025-12-04T10:27:34.4096671Z Running 0 items in this shard: 2025-12-04T10:27:34.4096897Z 2025-12-04T10:27:34.4097219Z Finished dynamo/test_unittest 1/1 ... [2025-12-04 10:27:34.409271][4454.95924663], took 0.08min 2025-12-04T10:27:34.4254499Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_unittest/dynamo.test_unittest-6a26639f1e6a3a1d.xml 2025-12-04T10:27:34.4519247Z Running inductor/test_compile 1/1 ... [2025-12-04 10:27:34.451624][4455.001599134] 2025-12-04T10:27:34.4519820Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:27:34.4523120Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_compile.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:27:34.452036] 2025-12-04T10:27:43.9537031Z 2025-12-04T10:27:43.9538021Z inductor/test_compile 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compile_1.1_2836ef43050f4478_.log 2025-12-04T10:27:43.9538905Z Running 0 items in this shard: 2025-12-04T10:27:43.9539133Z 2025-12-04T10:27:43.9539459Z Finished inductor/test_compile 1/1 ... [2025-12-04 10:27:43.953497][4464.503473122], took 0.16min 2025-12-04T10:27:43.9699268Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compile/inductor.test_compile-9a16e8a912bc8a6d.xml 2025-12-04T10:27:44.0412955Z Running dynamo/test_functions 1/1 ... [2025-12-04 10:27:44.041047][4464.591021377] 2025-12-04T10:27:44.0413760Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:27:44.0416758Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_functions.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:27:44.041408] 2025-12-04T10:27:54.4224367Z 2025-12-04T10:27:54.4225341Z dynamo/test_functions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_functions_1.1_543747908b37d994_.log 2025-12-04T10:27:54.4226235Z Running 0 items in this shard: 2025-12-04T10:27:54.4226445Z 2025-12-04T10:27:54.4226806Z Finished dynamo/test_functions 1/1 ... [2025-12-04 10:27:54.422251][4474.972226201], took 0.17min 2025-12-04T10:27:54.4388653Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_functions/dynamo.test_functions-b74cb6a25e176b15.xml 2025-12-04T10:27:54.5154249Z Running dynamo/test_package 1/1 ... [2025-12-04 10:27:54.515138][4475.065112268] 2025-12-04T10:27:54.5154786Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:27:54.5158048Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_package.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:27:54.515509] 2025-12-04T10:28:04.0517599Z 2025-12-04T10:28:04.0518667Z dynamo/test_package 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_package_1.1_bbcecb003358fde4_.log 2025-12-04T10:28:04.0519702Z Running 0 items in this shard: 2025-12-04T10:28:04.0519955Z 2025-12-04T10:28:04.0520277Z Finished dynamo/test_package 1/1 ... [2025-12-04 10:28:04.051529][4484.601497655], took 0.16min 2025-12-04T10:28:04.0682423Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_package/dynamo.test_package-7309959886e0730e.xml 2025-12-04T10:28:04.1372842Z Running inductor/test_efficient_conv_bn_eval 1/1 ... [2025-12-04 10:28:04.137044][4484.687019497] 2025-12-04T10:28:04.1373461Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:28:04.1376603Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_efficient_conv_bn_eval.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:28:04.137401] 2025-12-04T10:28:15.7038367Z 2025-12-04T10:28:15.7039753Z 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_10dd367999826401_.log 2025-12-04T10:28:15.7040990Z Running 0 items in this shard: 2025-12-04T10:28:15.7041207Z 2025-12-04T10:28:15.7041666Z Finished inductor/test_efficient_conv_bn_eval 1/1 ... [2025-12-04 10:28:15.703620][4496.253594416], took 0.19min 2025-12-04T10:28:15.7203307Z 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-6e53039a43dc6293.xml 2025-12-04T10:28:15.8105799Z Running inductor/test_torchbind 1/1 ... [2025-12-04 10:28:15.810391][4496.360366945] 2025-12-04T10:28:15.8106443Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:28:15.8110153Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchbind.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:28:15.810725] 2025-12-04T10:28:25.2313909Z 2025-12-04T10:28:25.2315352Z inductor/test_torchbind 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchbind_1.1_94e4a528bae843f4_.log 2025-12-04T10:28:25.2316576Z Running 0 items in this shard: 2025-12-04T10:28:25.2316807Z 2025-12-04T10:28:25.2317223Z Finished inductor/test_torchbind 1/1 ... [2025-12-04 10:28:25.231184][4505.781159292], took 0.16min 2025-12-04T10:28:25.2487821Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchbind/inductor.test_torchbind-15669d4317fd56b5.xml 2025-12-04T10:28:25.3246469Z Running dynamo/test_flat_apply 1/1 ... [2025-12-04 10:28:25.324340][4505.874314102] 2025-12-04T10:28:25.3247025Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:28:25.3249991Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_flat_apply.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:28:25.324715] 2025-12-04T10:28:30.3529981Z 2025-12-04T10:28:30.3530974Z dynamo/test_flat_apply 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_flat_apply_1.1_bad94bf0d772d06d_.log 2025-12-04T10:28:30.3531891Z Running 0 items in this shard: 2025-12-04T10:28:30.3532104Z 2025-12-04T10:28:30.3532426Z Finished dynamo/test_flat_apply 1/1 ... [2025-12-04 10:28:30.352811][4510.902786452], took 0.08min 2025-12-04T10:28:30.3709246Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_flat_apply/dynamo.test_flat_apply-03976210f45d9650.xml 2025-12-04T10:28:30.4106028Z Running dynamo/test_input_attr_tracking 1/1 ... [2025-12-04 10:28:30.410367][4510.960341107] 2025-12-04T10:28:30.4106646Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:28:30.4110022Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_input_attr_tracking.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:28:30.410742] 2025-12-04T10:28:35.2430375Z 2025-12-04T10:28:35.2431457Z dynamo/test_input_attr_tracking 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_input_attr_tracking_1.1_248473e4e30877d3_.log 2025-12-04T10:28:35.2432439Z Running 0 items in this shard: 2025-12-04T10:28:35.2432647Z 2025-12-04T10:28:35.2433016Z Finished dynamo/test_input_attr_tracking 1/1 ... [2025-12-04 10:28:35.242842][4515.792815996], took 0.08min 2025-12-04T10:28:35.2613201Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_input_attr_tracking/dynamo.test_input_attr_tracking-23cad4ad81c3c1f1.xml 2025-12-04T10:28:35.2929455Z Running dynamo/test_graph_deduplication 1/1 ... [2025-12-04 10:28:35.292670][4515.842645032] 2025-12-04T10:28:35.2930081Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:28:35.2933453Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_graph_deduplication.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:28:35.293065] 2025-12-04T10:28:40.1846844Z 2025-12-04T10:28:40.1847967Z dynamo/test_graph_deduplication 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_graph_deduplication_1.1_18105cf5588d352f_.log 2025-12-04T10:28:40.1849080Z Running 0 items in this shard: 2025-12-04T10:28:40.1849302Z 2025-12-04T10:28:40.1849971Z Finished dynamo/test_graph_deduplication 1/1 ... [2025-12-04 10:28:40.184489][4520.734462679], took 0.08min 2025-12-04T10:28:40.2028616Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_graph_deduplication/dynamo.test_graph_deduplication-882dd8ceb0dd01a3.xml 2025-12-04T10:28:40.2367804Z Running dynamo/test_structured_trace 1/1 ... [2025-12-04 10:28:40.236523][4520.786497833] 2025-12-04T10:28:40.2368368Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:28:40.2371723Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_structured_trace.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:28:40.236907] 2025-12-04T10:28:49.9041433Z 2025-12-04T10:28:49.9042559Z dynamo/test_structured_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_structured_trace_1.1_217e1ff6ddacaa29_.log 2025-12-04T10:28:49.9043561Z Running 0 items in this shard: 2025-12-04T10:28:49.9043794Z 2025-12-04T10:28:49.9044170Z Finished dynamo/test_structured_trace 1/1 ... [2025-12-04 10:28:49.903958][4530.453931984], took 0.16min 2025-12-04T10:28:49.9226335Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_structured_trace/dynamo.test_structured_trace-b461376ec48f9978.xml 2025-12-04T10:28:50.0019151Z Running dynamo/test_error_messages 1/1 ... [2025-12-04 10:28:50.001674][4530.551649791] 2025-12-04T10:28:50.0019708Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:28:50.0022994Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_error_messages.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:28:50.002041] 2025-12-04T10:28:55.0077170Z 2025-12-04T10:28:55.0078401Z dynamo/test_error_messages 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_error_messages_1.1_c364f719f04ee031_.log 2025-12-04T10:28:55.0079393Z Running 0 items in this shard: 2025-12-04T10:28:55.0079624Z 2025-12-04T10:28:55.0079991Z Finished dynamo/test_error_messages 1/1 ... [2025-12-04 10:28:55.007500][4535.557475766], took 0.08min 2025-12-04T10:28:55.0261649Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_error_messages/dynamo.test_error_messages-a4abe913d0daa99f.xml 2025-12-04T10:28:55.0557169Z Running dynamo/test_bytecode_utils 1/1 ... [2025-12-04 10:28:55.055489][4535.605465527] 2025-12-04T10:28:55.0557732Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:28:55.0561339Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_bytecode_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:28:55.055874] 2025-12-04T10:29:00.0220255Z 2025-12-04T10:29:00.0221306Z dynamo/test_bytecode_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_bytecode_utils_1.1_e03709f64195b26e_.log 2025-12-04T10:29:00.0222247Z Running 0 items in this shard: 2025-12-04T10:29:00.0222460Z 2025-12-04T10:29:00.0222821Z Finished dynamo/test_bytecode_utils 1/1 ... [2025-12-04 10:29:00.021834][4540.57180898], took 0.08min 2025-12-04T10:29:00.0407216Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_bytecode_utils/dynamo.test_bytecode_utils-5109cc1f9383bf39.xml 2025-12-04T10:29:00.0701804Z Running export/test_nativert 1/1 ... [2025-12-04 10:29:00.069948][4540.61992316] 2025-12-04T10:29:00.0702340Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:29:00.0706816Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_nativert.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:29:00.070378] 2025-12-04T10:29:11.3867588Z 2025-12-04T10:29:11.3868569Z export/test_nativert 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_nativert_1.1_0f187b37543f69c0_.log 2025-12-04T10:29:11.3869450Z Running 0 items in this shard: 2025-12-04T10:29:11.3869660Z 2025-12-04T10:29:11.3869973Z Finished export/test_nativert 1/1 ... [2025-12-04 10:29:11.386563][4551.936537709], took 0.19min 2025-12-04T10:29:11.4055921Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_nativert/export.test_nativert-f447dcad5fba1c9c.xml 2025-12-04T10:29:11.4773050Z Running export/test_hop 1/1 ... [2025-12-04 10:29:11.476973][4552.026946472] 2025-12-04T10:29:11.4773613Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:29:11.4776037Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_hop.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:29:11.477358] 2025-12-04T10:29:19.2959198Z 2025-12-04T10:29:19.2960133Z export/test_hop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_hop_1.1_a47cac02cc745107_.log 2025-12-04T10:29:19.2960984Z Running 0 items in this shard: 2025-12-04T10:29:19.2961203Z 2025-12-04T10:29:19.2961513Z Finished export/test_hop 1/1 ... [2025-12-04 10:29:19.295712][4559.845686887], took 0.13min 2025-12-04T10:29:19.3148496Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_hop/export.test_hop-47db53dc58ce5701.xml 2025-12-04T10:29:19.6807682Z Uploading artifacts took 0.29 seconds 2025-12-04T10:29:19.6812380Z Running dynamo/test_tree_map 1/1 ... [2025-12-04 10:29:19.681066][4560.231041432] 2025-12-04T10:29:19.6812921Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:29:19.6816957Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_tree_map.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:29:19.681453] 2025-12-04T10:29:24.2018580Z 2025-12-04T10:29:24.2019490Z dynamo/test_tree_map 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_tree_map_1.1_1bec6f1950a7d798_.log 2025-12-04T10:29:24.2020362Z Running 0 items in this shard: 2025-12-04T10:29:24.2020570Z 2025-12-04T10:29:24.2020875Z Finished dynamo/test_tree_map 1/1 ... [2025-12-04 10:29:24.201601][4564.751577173], took 0.08min 2025-12-04T10:29:24.2209289Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_tree_map/dynamo.test_tree_map-2a22c1ae7f8ffc41.xml 2025-12-04T10:29:24.2493629Z Running dynamo/test_minifier 1/1 ... [2025-12-04 10:29:24.249120][4564.799093681] 2025-12-04T10:29:24.2494167Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:29:24.2497539Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_minifier.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:29:24.249494] 2025-12-04T10:29:30.9920049Z 2025-12-04T10:29:30.9921193Z dynamo/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_minifier_1.1_0940fca232ec88ca_.log 2025-12-04T10:29:30.9922115Z Running 0 items in this shard: 2025-12-04T10:29:30.9922350Z 2025-12-04T10:29:30.9922965Z Finished dynamo/test_minifier 1/1 ... [2025-12-04 10:29:30.991816][4571.541791448], took 0.11min 2025-12-04T10:29:31.0109852Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_minifier/dynamo.test_minifier-a314cbf41d393bdf.xml 2025-12-04T10:29:31.0921271Z Running dynamo/test_guard_manager 1/1 ... [2025-12-04 10:29:31.091823][4571.641796806] 2025-12-04T10:29:31.0921857Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:29:31.0924961Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_guard_manager.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:29:31.092209] 2025-12-04T10:29:35.7903678Z 2025-12-04T10:29:35.7904681Z dynamo/test_guard_manager 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_guard_manager_1.1_2b1cd050be4ca5f4_.log 2025-12-04T10:29:35.7905609Z Running 0 items in this shard: 2025-12-04T10:29:35.7905823Z 2025-12-04T10:29:35.7906177Z Finished dynamo/test_guard_manager 1/1 ... [2025-12-04 10:29:35.790187][4576.340162548], took 0.08min 2025-12-04T10:29:35.8095617Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_guard_manager/dynamo.test_guard_manager-c7efb09cff8b72a9.xml 2025-12-04T10:29:35.8394152Z Running export/test_schema 1/1 ... [2025-12-04 10:29:35.839249][4576.389226295] 2025-12-04T10:29:35.8394684Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:29:35.8398733Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_schema.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:29:35.839625] 2025-12-04T10:29:40.5094465Z 2025-12-04T10:29:40.5097218Z export/test_schema 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_schema_1.1_aaa4b93a402b9953_.log 2025-12-04T10:29:40.5098095Z Running 0 items in this shard: 2025-12-04T10:29:40.5098322Z 2025-12-04T10:29:40.5098625Z Finished export/test_schema 1/1 ... [2025-12-04 10:29:40.509282][4581.059256816], took 0.08min 2025-12-04T10:29:40.5288175Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_schema/export.test_schema-b5d23d614d2f3548.xml 2025-12-04T10:29:40.5588389Z Running export/test_pass_infra 1/1 ... [2025-12-04 10:29:40.558661][4581.108637514] 2025-12-04T10:29:40.5588965Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:29:40.5592627Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_pass_infra.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:29:40.559025] 2025-12-04T10:29:45.0887630Z 2025-12-04T10:29:45.0888642Z export/test_pass_infra 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_pass_infra_1.1_f67db00c73a65111_.log 2025-12-04T10:29:45.0889539Z Running 0 items in this shard: 2025-12-04T10:29:45.0889750Z 2025-12-04T10:29:45.0890080Z Finished export/test_pass_infra 1/1 ... [2025-12-04 10:29:45.088560][4585.638534824], took 0.08min 2025-12-04T10:29:45.1083344Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_pass_infra/export.test_pass_infra-f9794871a16bb6d1.xml 2025-12-04T10:29:45.1342848Z Running dynamo/test_recompile_ux 1/1 ... [2025-12-04 10:29:45.134045][4585.684020434] 2025-12-04T10:29:45.1343448Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:29:45.1347221Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_recompile_ux.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:29:45.134437] 2025-12-04T10:29:49.9774029Z 2025-12-04T10:29:49.9774984Z dynamo/test_recompile_ux 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_recompile_ux_1.1_e8a06199e1d7ca7d_.log 2025-12-04T10:29:49.9775916Z Running 0 items in this shard: 2025-12-04T10:29:49.9970856Z 2025-12-04T10:29:49.9971425Z Finished dynamo/test_recompile_ux 1/1 ... [2025-12-04 10:29:49.977211][4590.527186457], took 0.08min 2025-12-04T10:29:49.9972682Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_recompile_ux/dynamo.test_recompile_ux-c550a8543e39fa1d.xml 2025-12-04T10:29:50.0238883Z Running export/test_experimental 1/1 ... [2025-12-04 10:29:50.023698][4590.573674277] 2025-12-04T10:29:50.0239570Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:29:50.0243083Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_experimental.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:29:50.024058] 2025-12-04T10:29:54.8821329Z 2025-12-04T10:29:54.8822372Z export/test_experimental 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_experimental_1.1_ecd1a184e993dd2e_.log 2025-12-04T10:29:54.8823309Z Running 0 items in this shard: 2025-12-04T10:29:54.8823521Z 2025-12-04T10:29:54.8823884Z Finished export/test_experimental 1/1 ... [2025-12-04 10:29:54.881935][4595.431911067], took 0.08min 2025-12-04T10:29:54.9021375Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_experimental/export.test_experimental-43add646f888a503.xml 2025-12-04T10:29:54.9334167Z Running export/test_converter 1/1 ... [2025-12-04 10:29:54.933171][4595.48314723] 2025-12-04T10:29:54.9334721Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:29:54.9337757Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_converter.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:29:54.933527] 2025-12-04T10:30:00.0471404Z 2025-12-04T10:30:00.0472374Z export/test_converter 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_converter_1.1_a04f407fe5387d6e_.log 2025-12-04T10:30:00.0473285Z Running 0 items in this shard: 2025-12-04T10:30:00.0473494Z 2025-12-04T10:30:00.0473816Z Finished export/test_converter 1/1 ... [2025-12-04 10:30:00.046950][4600.596921023], took 0.09min 2025-12-04T10:30:00.0672848Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_converter/export.test_converter-851b52b8520e3f6a.xml 2025-12-04T10:30:00.0952250Z Running export/test_export 1/1 ... [2025-12-04 10:30:00.094995][4600.64497055] 2025-12-04T10:30:00.0952778Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:30:00.0956511Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_export.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:30:00.095378] 2025-12-04T10:30:10.7491570Z 2025-12-04T10:30:10.7492643Z export/test_export 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_export_1.1_bc1f61a43663301a_.log 2025-12-04T10:30:10.7493515Z Running 0 items in this shard: 2025-12-04T10:30:10.7493727Z 2025-12-04T10:30:10.7494342Z Finished export/test_export 1/1 ... [2025-12-04 10:30:10.748985][4611.298959727], took 0.18min 2025-12-04T10:30:10.7692577Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_export/export.test_export-53e09d1f8ba6d815.xml 2025-12-04T10:30:10.8451962Z Running xpu/test_fusion 1/1 ... [2025-12-04 10:30:10.844933][4611.394907522] 2025-12-04T10:30:10.8452503Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:30:10.8455703Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'xpu/test_fusion.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:30:10.845324] 2025-12-04T10:30:15.8971497Z 2025-12-04T10:30:15.8972478Z xpu/test_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_fusion_1.1_1e2df20e722ae0c9_.log 2025-12-04T10:30:15.8973352Z Running 0 items in this shard: 2025-12-04T10:30:15.8973577Z 2025-12-04T10:30:15.8973864Z Finished xpu/test_fusion 1/1 ... [2025-12-04 10:30:15.896962][4616.446936307], took 0.08min 2025-12-04T10:30:15.9175006Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/xpu.test_fusion/xpu.test_fusion-841d8c0d9c5f8478.xml 2025-12-04T10:30:15.9478280Z Running higher_order_ops/test_with_effects 1/1 ... [2025-12-04 10:30:15.947621][4616.497597717] 2025-12-04T10:30:15.9478885Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:30:15.9482459Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'higher_order_ops/test_with_effects.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:30:15.947998] 2025-12-04T10:30:21.5950451Z 2025-12-04T10:30:21.5951550Z higher_order_ops/test_with_effects 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_with_effects_1.1_f70a9ee92187471a_.log 2025-12-04T10:30:21.5952590Z Running 0 items in this shard: 2025-12-04T10:30:21.5952813Z 2025-12-04T10:30:21.5953197Z Finished higher_order_ops/test_with_effects 1/1 ... [2025-12-04 10:30:21.594876][4622.144850968], took 0.09min 2025-12-04T10:30:21.6152949Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/higher_order_ops.test_with_effects/higher_order_ops.test_with_effects-9682c452049dd21d.xml 2025-12-04T10:30:21.6399866Z Running test_weak 1/1 ... [2025-12-04 10:30:21.639818][4622.189794307] 2025-12-04T10:30:21.6400619Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:30:21.6404330Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_weak.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:30:21.640192] 2025-12-04T10:30:26.3551894Z 2025-12-04T10:30:26.3552769Z test_weak 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_weak_1.1_64a8b685e464c7ce_.log 2025-12-04T10:30:26.3553558Z Running 0 items in this shard: 2025-12-04T10:30:26.3553769Z 2025-12-04T10:30:26.3554024Z Finished test_weak 1/1 ... [2025-12-04 10:30:26.355010][4626.904984884], took 0.08min 2025-12-04T10:30:26.3759299Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_weak/test_weak-1998c8bd3ec936e3.xml 2025-12-04T10:30:26.4018513Z Running test_complex 1/1 ... [2025-12-04 10:30:26.401624][4626.951600838] 2025-12-04T10:30:26.4019037Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:30:26.4022835Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_complex.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:30:26.401995] 2025-12-04T10:30:33.1710446Z 2025-12-04T10:30:33.1711488Z test_complex 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_complex_1.1_c12706b4bba948c9_.log 2025-12-04T10:30:33.1712271Z Running 0 items in this shard: 2025-12-04T10:30:33.1712497Z 2025-12-04T10:30:33.1712765Z Finished test_complex 1/1 ... [2025-12-04 10:30:33.170807][4633.720782737], took 0.11min 2025-12-04T10:30:33.1917361Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_complex/test_complex-07686bfd4a64e815.xml 2025-12-04T10:30:33.2655110Z Running test_optim 1/1 ... [2025-12-04 10:30:33.265217][4633.815190863] 2025-12-04T10:30:33.2655600Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:30:33.2658920Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_optim.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:30:33.265641] 2025-12-04T10:30:43.3604896Z 2025-12-04T10:30:43.3605780Z test_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_optim_1.1_dcb9b4b6442384f7_.log 2025-12-04T10:30:43.3608587Z Running 0 items in this shard: 2025-12-04T10:30:43.3608856Z 2025-12-04T10:30:43.3609144Z Finished test_optim 1/1 ... [2025-12-04 10:30:43.360273][4643.910246295], took 0.17min 2025-12-04T10:30:43.3815442Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_optim/test_optim-49ed9ddbac92c241.xml 2025-12-04T10:30:43.4514435Z Running nn/test_packed_sequence 1/1 ... [2025-12-04 10:30:43.451158][4644.001131202] 2025-12-04T10:30:43.4515017Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:30:43.4518365Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_packed_sequence.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:30:43.451559] 2025-12-04T10:30:48.2080107Z 2025-12-04T10:30:48.2081094Z nn/test_packed_sequence 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_packed_sequence_1.1_0468319fe7e59d52_.log 2025-12-04T10:30:48.2082006Z Running 0 items in this shard: 2025-12-04T10:30:48.2082237Z 2025-12-04T10:30:48.2082574Z Finished nn/test_packed_sequence 1/1 ... [2025-12-04 10:30:48.207786][4648.757761106], took 0.08min 2025-12-04T10:30:48.2291291Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_packed_sequence/nn.test_packed_sequence-2295c60b91112531.xml 2025-12-04T10:30:48.2611205Z Running test_numa_binding 1/1 ... [2025-12-04 10:30:48.260870][4648.810844481] 2025-12-04T10:30:48.2611743Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:30:48.2615109Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_numa_binding.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:30:48.261247] 2025-12-04T10:30:52.7993588Z 2025-12-04T10:30:52.7994489Z test_numa_binding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numa_binding_1.1_5e00a72804f114e3_.log 2025-12-04T10:30:52.7995363Z Running 0 items in this shard: 2025-12-04T10:30:52.7995595Z 2025-12-04T10:30:52.7996082Z Finished test_numa_binding 1/1 ... [2025-12-04 10:30:52.799154][4653.349129387], took 0.08min 2025-12-04T10:30:52.8204772Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_numa_binding/test_numa_binding-e153d66ee87024a2.xml 2025-12-04T10:30:52.8466578Z Running test_pruning_op 1/1 ... [2025-12-04 10:30:52.846383][4653.396357602] 2025-12-04T10:30:52.8467098Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:30:52.8470002Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_pruning_op.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:30:52.846757] 2025-12-04T10:30:57.3937008Z 2025-12-04T10:30:57.3937893Z test_pruning_op 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_pruning_op_1.1_8188c1900acbcfc4_.log 2025-12-04T10:30:57.3938698Z Running 0 items in this shard: 2025-12-04T10:30:57.3938926Z 2025-12-04T10:30:57.3939217Z Finished test_pruning_op 1/1 ... [2025-12-04 10:30:57.393525][4657.943500601], took 0.08min 2025-12-04T10:30:57.4147282Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_pruning_op/test_pruning_op-6513887b78ca7557.xml 2025-12-04T10:30:57.4416648Z Running test_jit_fuser_te 1/1 ... [2025-12-04 10:30:57.441463][4657.99143989] 2025-12-04T10:30:57.4417166Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:30:57.4420552Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_jit_fuser_te.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:30:57.441821] 2025-12-04T10:31:21.1356724Z 2025-12-04T10:31:21.1359625Z test_jit_fuser_te 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_fuser_te_1.1_2381686da7992bbe_.log 2025-12-04T10:31:21.1360576Z Running 0 items in this shard: 2025-12-04T10:31:21.1360844Z 2025-12-04T10:31:21.1361180Z Finished test_jit_fuser_te 1/1 ... [2025-12-04 10:31:21.135456][4681.685431048], took 0.39min 2025-12-04T10:31:21.1575699Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jit_fuser_te/test_jit_fuser_te-f280a3405b9435ec.xml 2025-12-04T10:31:21.2367945Z Running optim/test_swa_utils 1/1 ... [2025-12-04 10:31:21.236497][4681.786471065] 2025-12-04T10:31:21.2368477Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:31:21.2371622Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'optim/test_swa_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:31:21.236892] 2025-12-04T10:31:25.6941024Z 2025-12-04T10:31:25.6942056Z optim/test_swa_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_swa_utils_1.1_8816ca8e4c1b20df_.log 2025-12-04T10:31:25.6942825Z 2025-12-04T10:31:25.6943572Z Finished optim/test_swa_utils 1/1 ... [2025-12-04 10:31:25.693898][4686.243874193], took 0.07min 2025-12-04T10:31:25.7160764Z Running cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 ... [2025-12-04 10:31:25.715827][4686.265802481] 2025-12-04T10:31:25.7161596Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:31:25.7165168Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'cpp_extensions/python_agnostic_extension/test/test_python_agnostic.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:31:25.716231] 2025-12-04T10:31:39.4501569Z 2025-12-04T10:31:39.4503025Z cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp_extensions.python_agnostic_extension.test.test_python_agnostic_1.1_db6a3717697de0cf_.log 2025-12-04T10:31:39.4504769Z Running 0 items in this shard: 2025-12-04T10:31:39.4504988Z 2025-12-04T10:31:39.4505557Z Finished cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 ... [2025-12-04 10:31:39.449985][4699.99995886], took 0.23min 2025-12-04T10:31:39.4721287Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/cpp_extensions.python_agnostic_extension.test.test_python_agnostic/cpp_extensions.python_agnostic_extension.test.test_python_agnostic-12f9ebc3b1f23c26.xml 2025-12-04T10:31:39.5416553Z Running torch_np/numpy_tests/lib/test_histograms 1/1 ... [2025-12-04 10:31:39.541434][4700.091409951] 2025-12-04T10:31:39.5417177Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:31:39.5420730Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_histograms.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:31:39.541804] 2025-12-04T10:31:44.2036689Z 2025-12-04T10:31:44.2037879Z torch_np/numpy_tests/lib/test_histograms 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_histograms_1.1_aa4af3fae5b540e0_.log 2025-12-04T10:31:44.2039021Z Running 0 items in this shard: 2025-12-04T10:31:44.2039259Z 2025-12-04T10:31:44.2039701Z Finished torch_np/numpy_tests/lib/test_histograms 1/1 ... [2025-12-04 10:31:44.203448][4704.753423032], took 0.08min 2025-12-04T10:31:44.2255510Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_histograms/torch_np.numpy_tests.lib.test_histograms-b41f0e86d9737798.xml 2025-12-04T10:31:44.2527786Z Running torch_np/test_indexing 1/1 ... [2025-12-04 10:31:44.252556][4704.802532649] 2025-12-04T10:31:44.2528337Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:31:44.2532053Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_indexing.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:31:44.252951] 2025-12-04T10:31:48.9220570Z 2025-12-04T10:31:48.9221535Z torch_np/test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_indexing_1.1_a61504bb8a5a0fea_.log 2025-12-04T10:31:48.9222433Z Running 0 items in this shard: 2025-12-04T10:31:48.9222642Z 2025-12-04T10:31:48.9222988Z Finished torch_np/test_indexing 1/1 ... [2025-12-04 10:31:48.921850][4709.47182439], took 0.08min 2025-12-04T10:31:48.9437708Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_indexing/torch_np.test_indexing-3a2ccd8073566f0c.xml 2025-12-04T10:31:48.9720228Z Running test_schema_check 1/1 ... [2025-12-04 10:31:48.971829][4709.521804969] 2025-12-04T10:31:48.9720752Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:31:48.9724400Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_schema_check.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:31:48.972192] 2025-12-04T10:32:09.4683192Z 2025-12-04T10:32:09.4684121Z test_schema_check 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_schema_check_1.1_05d82a25b37d9b17_.log 2025-12-04T10:32:09.4684966Z Running 0 items in this shard: 2025-12-04T10:32:09.4685196Z 2025-12-04T10:32:09.4685499Z Finished test_schema_check 1/1 ... [2025-12-04 10:32:09.468115][4730.018090205], took 0.34min 2025-12-04T10:32:09.4905749Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_schema_check/test_schema_check-7a1c32d1b7d5e35f.xml 2025-12-04T10:32:15.7407835Z Running inductor/test_torchinductor_opinfo 11/17 ... [2025-12-04 10:32:15.740353][4736.290327985] 2025-12-04T10:32:15.7408995Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:32:15.7411127Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'not serial', '--shard-id=11', '--num-shards=17', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:32:15.740831] 2025-12-04T10:32:15.7794293Z Running dynamo/test_activation_checkpointing 1/1 ... [2025-12-04 10:32:15.779122][4736.329096199] 2025-12-04T10:32:15.7794946Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:32:15.7798924Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_activation_checkpointing.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:32:15.779600] 2025-12-04T10:32:27.7112964Z 2025-12-04T10:32:27.7113940Z dynamo/test_activation_checkpointing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_activation_checkpointing_1.1_fb2332b0156da775_.log 2025-12-04T10:32:27.7114994Z Running 0 items in this shard: 2025-12-04T10:32:27.7115204Z 2025-12-04T10:32:27.7115676Z Finished dynamo/test_activation_checkpointing 1/1 ... [2025-12-04 10:32:27.711367][4748.261337644], took 0.20min 2025-12-04T10:32:27.7227586Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_activation_checkpointing/dynamo.test_activation_checkpointing-d2638fdfc4313ab3.xml 2025-12-04T10:32:34.6985360Z Running dynamo/test_logging 1/1 ... [2025-12-04 10:32:34.696864][4755.246839049] 2025-12-04T10:32:34.6986070Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:32:34.6987592Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_logging.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:32:34.697319] 2025-12-04T10:32:37.5499023Z 2025-12-04T10:32:37.5500288Z inductor/test_torchinductor_opinfo 11/17 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_11.17_c1d1d95887f34630_.log 2025-12-04T10:32:37.5501357Z Running 0 items in this shard: 2025-12-04T10:32:37.5501573Z 2025-12-04T10:32:37.5501987Z Finished inductor/test_torchinductor_opinfo 11/17 ... [2025-12-04 10:32:37.549796][4758.099770934], took 0.36min 2025-12-04T10:32:37.5611097Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-3b0e04b56a02e142.xml 2025-12-04T10:32:44.7466811Z Running dynamo/test_repros 1/1 ... [2025-12-04 10:32:44.746287][4765.296262375] 2025-12-04T10:32:44.7467403Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:32:44.7470873Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_repros.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:32:44.746772] 2025-12-04T10:32:46.4074339Z 2025-12-04T10:32:46.4075434Z dynamo/test_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_logging_1.1_ffcd4a3876c6c4ad_.log 2025-12-04T10:32:46.4076531Z Running 0 items in this shard: 2025-12-04T10:32:46.4076764Z 2025-12-04T10:32:46.4077094Z Finished dynamo/test_logging 1/1 ... [2025-12-04 10:32:46.407349][4766.957324457], took 0.20min 2025-12-04T10:32:46.4191006Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_logging/dynamo.test_logging-3387714522bf134b.xml 2025-12-04T10:32:53.4176260Z Running inductor/test_cuda_select_algorithm 1/5 ... [2025-12-04 10:32:53.417138][4773.967112703] 2025-12-04T10:32:53.4176914Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:32:53.4179321Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cuda_select_algorithm.py', '-m', 'not serial', '--shard-id=1', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:32:53.417606] 2025-12-04T10:33:06.0675901Z 2025-12-04T10:33:06.0677208Z inductor/test_cuda_select_algorithm 1/5 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cuda_select_algorithm_1.5_7a10fe905318a496_.log 2025-12-04T10:33:06.0678651Z Running 0 items in this shard: 2025-12-04T10:33:06.0679010Z 2025-12-04T10:33:06.0679618Z Finished inductor/test_cuda_select_algorithm 1/5 ... [2025-12-04 10:33:06.067463][4786.617437606], took 0.21min 2025-12-04T10:33:06.0798794Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-d3b0972405fbd067.xml 2025-12-04T10:33:13.0157861Z Running inductor/test_cuda_select_algorithm 5/5 ... [2025-12-04 10:33:13.015362][4793.565336518] 2025-12-04T10:33:13.0158550Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:33:13.0161553Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cuda_select_algorithm.py', '-m', 'not serial', '--shard-id=5', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:33:13.015852] 2025-12-04T10:33:16.0810087Z 2025-12-04T10:33:16.0811429Z dynamo/test_repros 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_repros_1.1_16eeab6b1274db4f_.log 2025-12-04T10:33:16.0915055Z Running 300 items in this shard: test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_create_rand_mask_from_inputs, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_dont_aggressively_write_assert, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_get_parameter_dtype, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_graph_break_unsupported_fake, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename, test/dynamo/test_repros.py::ReproTests::test_relative_import_no_modulename 2025-12-04T10:33:16.1015945Z 2025-12-04T10:33:16.1016259Z Finished dynamo/test_repros 1/1 ... [2025-12-04 10:33:16.081409][4796.631382609], took 0.52min 2025-12-04T10:33:16.1017583Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_repros/dynamo.test_repros-e009f35344560125.xml 2025-12-04T10:33:23.1248638Z Running inductor/test_flex_decoding 1/1 ... [2025-12-04 10:33:23.124474][4803.674448502] 2025-12-04T10:33:23.1249232Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:33:23.1253559Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_decoding.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:33:23.124974] 2025-12-04T10:33:25.1727779Z 2025-12-04T10:33:25.1729217Z inductor/test_cuda_select_algorithm 5/5 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cuda_select_algorithm_5.5_9c096a3cd7898a50_.log 2025-12-04T10:33:25.1730259Z Running 0 items in this shard: 2025-12-04T10:33:25.1730469Z 2025-12-04T10:33:25.1730870Z Finished inductor/test_cuda_select_algorithm 5/5 ... [2025-12-04 10:33:25.172824][4805.722794967], took 0.20min 2025-12-04T10:33:25.1852621Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-a5bc560857431dad.xml 2025-12-04T10:33:30.3352537Z 2025-12-04T10:33:30.3353814Z inductor/test_flex_decoding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_decoding_1.1_f1a61e7f2538d1ba_.log 2025-12-04T10:33:30.3354810Z Running 0 items in this shard: 2025-12-04T10:33:30.3355034Z 2025-12-04T10:33:30.3355443Z Finished inductor/test_flex_decoding 1/1 ... [2025-12-04 10:33:30.335205][4810.88517971], took 0.12min 2025-12-04T10:33:30.3479356Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_decoding/inductor.test_flex_decoding-16bd0bab1576ccd2.xml 2025-12-04T10:33:32.2993011Z Running inductor/test_deterministic 3/8 ... [2025-12-04 10:33:32.298927][4812.848900727] 2025-12-04T10:33:32.2993628Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:33:32.2997879Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_deterministic.py', '-m', 'not serial', '--shard-id=3', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:33:32.299404] 2025-12-04T10:33:37.3152834Z Running inductor/test_deterministic 7/8 ... [2025-12-04 10:33:37.314906][4817.864879842] 2025-12-04T10:33:37.3153451Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:33:37.3157060Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_deterministic.py', '-m', 'not serial', '--shard-id=7', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:33:37.315392] 2025-12-04T10:33:43.8215062Z 2025-12-04T10:33:43.8216185Z inductor/test_deterministic 3/8 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_deterministic_3.8_2dd6d6bf89f0e1e4_.log 2025-12-04T10:33:43.8217160Z Running 0 items in this shard: 2025-12-04T10:33:43.8217389Z 2025-12-04T10:33:43.8217752Z Finished inductor/test_deterministic 3/8 ... [2025-12-04 10:33:43.821425][4824.371401165], took 0.19min 2025-12-04T10:33:43.8342531Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_deterministic/inductor.test_deterministic-6b2efe5d41118991.xml 2025-12-04T10:33:49.2318803Z 2025-12-04T10:33:49.2320212Z inductor/test_deterministic 7/8 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_deterministic_7.8_61f9240197fe6efb_.log 2025-12-04T10:33:49.2321218Z Running 0 items in this shard: 2025-12-04T10:33:49.2321441Z 2025-12-04T10:33:49.2321827Z Finished inductor/test_deterministic 7/8 ... [2025-12-04 10:33:49.231809][4829.781782955], took 0.20min 2025-12-04T10:33:49.2537021Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_deterministic/inductor.test_deterministic-5f2e218001ba0950.xml 2025-12-04T10:33:51.1107489Z Running inductor/test_decompose_mem_bound_mm 1/1 ... [2025-12-04 10:33:51.110383][4831.660357301] 2025-12-04T10:33:51.1108135Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:33:51.1112783Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_decompose_mem_bound_mm.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:33:51.110886] 2025-12-04T10:33:56.4859643Z Running inductor/test_op_dtype_prop 1/2 ... [2025-12-04 10:33:56.485585][4837.035559732] 2025-12-04T10:33:56.4860241Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:33:56.4863667Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_op_dtype_prop.py', '-m', 'not serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:33:56.486066] 2025-12-04T10:34:03.0225643Z 2025-12-04T10:34:03.0227993Z 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_813561df8cd23d5a_.log 2025-12-04T10:34:03.0400094Z 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 2025-12-04T10:34:03.0605770Z 2025-12-04T10:34:03.0606918Z Finished inductor/test_decompose_mem_bound_mm 1/1 ... [2025-12-04 10:34:03.055221][4843.605181681], took 0.20min 2025-12-04T10:34:03.0864633Z 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-07f84b10a42d6592.xml 2025-12-04T10:34:10.1913780Z Running inductor/test_padding 1/1 ... [2025-12-04 10:34:10.190983][4850.740957556] 2025-12-04T10:34:10.1914383Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:34:10.1918585Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_padding.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:34:10.191489] 2025-12-04T10:34:10.6797945Z 2025-12-04T10:34:10.6799070Z inductor/test_op_dtype_prop 1/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_op_dtype_prop_1.2_2e37b727725c10af_.log 2025-12-04T10:34:10.6800065Z Running 0 items in this shard: 2025-12-04T10:34:10.6800491Z 2025-12-04T10:34:10.6801139Z Finished inductor/test_op_dtype_prop 1/2 ... [2025-12-04 10:34:10.679759][4851.229734642], took 0.24min 2025-12-04T10:34:10.7027200Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-786c3a4151c0187c.xml 2025-12-04T10:34:17.7380988Z Running dynamo/test_aot_compile 1/1 ... [2025-12-04 10:34:17.737277][4858.287245865] 2025-12-04T10:34:17.7382303Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:34:17.7391270Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_aot_compile.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:34:17.738531] 2025-12-04T10:34:22.1172961Z 2025-12-04T10:34:22.1174013Z inductor/test_padding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_padding_1.1_5500ba45fe0502ae_.log 2025-12-04T10:34:22.1174963Z Running 0 items in this shard: 2025-12-04T10:34:22.1175182Z 2025-12-04T10:34:22.1175524Z Finished inductor/test_padding 1/1 ... [2025-12-04 10:34:22.117251][4862.667223809], took 0.20min 2025-12-04T10:34:22.1310359Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_padding/inductor.test_padding-f62e49b91f12cf35.xml 2025-12-04T10:34:24.9263650Z 2025-12-04T10:34:24.9264904Z dynamo/test_aot_compile 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_aot_compile_1.1_077d96c8ce86c234_.log 2025-12-04T10:34:24.9265951Z Running 0 items in this shard: 2025-12-04T10:34:24.9266164Z 2025-12-04T10:34:24.9266491Z Finished dynamo/test_aot_compile 1/1 ... [2025-12-04 10:34:24.926279][4865.476251393], took 0.12min 2025-12-04T10:34:24.9401183Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_aot_compile/dynamo.test_aot_compile-10cf2066dff650ea.xml 2025-12-04T10:34:29.1706827Z Running dynamo/test_sets 1/1 ... [2025-12-04 10:34:29.170281][4869.720255513] 2025-12-04T10:34:29.1707385Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:34:29.1710264Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_sets.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:34:29.170751] 2025-12-04T10:34:31.8561388Z Running dynamo/test_wrap_inductor_compiled_regions 1/1 ... [2025-12-04 10:34:31.855744][4872.405718545] 2025-12-04T10:34:31.8562090Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:34:31.8565075Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_wrap_inductor_compiled_regions.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:34:31.856218] 2025-12-04T10:34:36.4244043Z 2025-12-04T10:34:36.4245110Z dynamo/test_sets 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_sets_1.1_d0db61896ce91ad4_.log 2025-12-04T10:34:36.4246068Z Running 0 items in this shard: 2025-12-04T10:34:36.4246287Z 2025-12-04T10:34:36.4246688Z Finished dynamo/test_sets 1/1 ... [2025-12-04 10:34:36.424330][4876.974305268], took 0.12min 2025-12-04T10:34:36.4387207Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_sets/dynamo.test_sets-7297c70aedf0d7e5.xml 2025-12-04T10:34:43.3712562Z Running dynamo/test_callback 1/1 ... [2025-12-04 10:34:43.370879][4883.920853045] 2025-12-04T10:34:43.3713130Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:34:43.3717297Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_callback.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:34:43.371381] 2025-12-04T10:34:43.7778381Z 2025-12-04T10:34:43.7779793Z dynamo/test_wrap_inductor_compiled_regions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_wrap_inductor_compiled_regions_1.1_88035416b3ede2bf_.log 2025-12-04T10:34:43.7781055Z Running 0 items in this shard: 2025-12-04T10:34:43.7781295Z 2025-12-04T10:34:43.7781734Z Finished dynamo/test_wrap_inductor_compiled_regions 1/1 ... [2025-12-04 10:34:43.777786][4884.32776106], took 0.20min 2025-12-04T10:34:43.7922638Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_wrap_inductor_compiled_regions/dynamo.test_wrap_inductor_compiled_regions-2fbf0c7bb478412a.xml 2025-12-04T10:34:50.8123129Z Running dynamo/test_compiler_bisector 1/1 ... [2025-12-04 10:34:50.811900][4891.361874359] 2025-12-04T10:34:50.8123771Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:34:50.8126735Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_compiler_bisector.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:34:50.812380] 2025-12-04T10:34:55.1271752Z 2025-12-04T10:34:55.1272924Z dynamo/test_callback 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_callback_1.1_4e9f071af39fb69f_.log 2025-12-04T10:34:55.1273818Z Running 0 items in this shard: 2025-12-04T10:34:55.1274043Z 2025-12-04T10:34:55.1274359Z Finished dynamo/test_callback 1/1 ... [2025-12-04 10:34:55.127095][4895.677068308], took 0.20min 2025-12-04T10:34:55.1465873Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_callback/dynamo.test_callback-28212e1a5565045d.xml 2025-12-04T10:35:02.1041183Z Running inductor/test_custom_op_autotune 1/1 ... [2025-12-04 10:35:02.103715][4902.653689501] 2025-12-04T10:35:02.1041876Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:35:02.1045012Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_custom_op_autotune.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:35:02.104196] 2025-12-04T10:35:13.7061737Z 2025-12-04T10:35:13.7063039Z inductor/test_custom_op_autotune 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_custom_op_autotune_1.1_4c421e4dfaa6bdcd_.log 2025-12-04T10:35:13.7064053Z Running 0 items in this shard: 2025-12-04T10:35:13.7064266Z 2025-12-04T10:35:13.7064675Z Finished inductor/test_custom_op_autotune 1/1 ... [2025-12-04 10:35:13.706064][4914.256039076], took 0.19min 2025-12-04T10:35:13.7217498Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_custom_op_autotune/inductor.test_custom_op_autotune-8c479a5383db800d.xml 2025-12-04T10:35:20.6263229Z Running inductor/test_cudagraph_trees_expandable_segments 1/1 ... [2025-12-04 10:35:20.625900][4921.17587078] 2025-12-04T10:35:20.6263960Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:35:20.6266870Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cudagraph_trees_expandable_segments.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:35:20.626400] 2025-12-04T10:35:50.9934428Z 2025-12-04T10:35:50.9936340Z inductor/test_cudagraph_trees_expandable_segments 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudagraph_trees_expandable_segments_1.1_87ff439ce34a7dbb_.log 2025-12-04T10:35:50.9962018Z Running 50 items in this shard: test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees_expandable_segments.py::CudaGraphTreeTests::test_multinomial 2025-12-04T10:35:50.9986635Z 2025-12-04T10:35:50.9987106Z Finished inductor/test_cudagraph_trees_expandable_segments 1/1 ... [2025-12-04 10:35:50.993639][4951.54361052], took 0.51min 2025-12-04T10:35:51.0091106Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cudagraph_trees_expandable_segments/inductor.test_cudagraph_trees_expandable_segments-ee4b71d7603c8761.xml 2025-12-04T10:35:58.0459878Z Running test_decomp 1/17 ... [2025-12-04 10:35:58.045596][4958.595570257] 2025-12-04T10:35:58.0460409Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:35:58.0463461Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'not serial', '--shard-id=1', '--num-shards=17', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:35:58.046068] 2025-12-04T10:37:27.3911835Z 2025-12-04T10:37:27.3913169Z dynamo/test_compiler_bisector 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_compiler_bisector_1.1_ef0682a1e2ae3625_.log 2025-12-04T10:37:27.3951023Z Running 100 items in this shard: test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng 2025-12-04T10:37:27.3987175Z 2025-12-04T10:37:27.3987542Z Finished dynamo/test_compiler_bisector 1/1 ... [2025-12-04 10:37:27.390913][5047.940886841], took 2.61min 2025-12-04T10:37:27.4065516Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_compiler_bisector/dynamo.test_compiler_bisector-4765ce2a7d74b34a.xml 2025-12-04T10:37:34.3445156Z Running test_decomp 6/17 ... [2025-12-04 10:37:34.344112][5054.894085943] 2025-12-04T10:37:34.3445714Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:37:34.3449072Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'not serial', '--shard-id=6', '--num-shards=17', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:37:34.344617] 2025-12-04T10:38:00.6954973Z 2025-12-04T10:38:00.6956311Z test_decomp 6/17 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_6.17_3729975c445717e4_.log 2025-12-04T10:38:00.6957633Z Running 0 items in this shard: 2025-12-04T10:38:00.6957967Z 2025-12-04T10:38:00.6958417Z Finished test_decomp 6/17 ... [2025-12-04 10:38:00.695431][5081.245403826], took 0.44min 2025-12-04T10:38:00.7117921Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-420b39c572bf4258.xml 2025-12-04T10:38:07.6545315Z Running test_decomp 11/17 ... [2025-12-04 10:38:07.654142][5088.204116443] 2025-12-04T10:38:07.6546165Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:38:07.6551376Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'not serial', '--shard-id=11', '--num-shards=17', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:38:07.654708] 2025-12-04T10:38:33.8183430Z 2025-12-04T10:38:33.8184448Z test_decomp 11/17 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_11.17_e1e5758fc465ea71_.log 2025-12-04T10:38:33.8185260Z Running 0 items in this shard: 2025-12-04T10:38:33.8185470Z 2025-12-04T10:38:33.8185766Z Finished test_decomp 11/17 ... [2025-12-04 10:38:33.818306][5114.368281147], took 0.44min 2025-12-04T10:38:33.8349283Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-745e9a0e9245a11a.xml 2025-12-04T10:38:40.9004605Z Running test_decomp 16/17 ... [2025-12-04 10:38:40.899993][5121.449967907] 2025-12-04T10:38:40.9005133Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:38:40.9008620Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'not serial', '--shard-id=16', '--num-shards=17', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:38:40.900532] 2025-12-04T10:39:06.9613244Z 2025-12-04T10:39:06.9614248Z test_decomp 16/17 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_16.17_1bd54c9e6bde76f0_.log 2025-12-04T10:39:06.9615060Z Running 0 items in this shard: 2025-12-04T10:39:06.9615292Z 2025-12-04T10:39:06.9615567Z Finished test_decomp 16/17 ... [2025-12-04 10:39:06.961231][5147.511206438], took 0.43min 2025-12-04T10:39:06.9774967Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-f3aac0fa30b53ba2.xml 2025-12-04T10:39:14.0011766Z Running test_meta 3/5 ... [2025-12-04 10:39:14.000781][5154.550755883] 2025-12-04T10:39:14.0012314Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:39:14.0015396Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_meta.py', '-m', 'not serial', '--shard-id=3', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:39:14.001236] 2025-12-04T10:40:43.1268207Z 2025-12-04T10:40:43.1269084Z test_meta 3/5 was successful, full logs can be found in artifacts with path test/test-reports/test_meta_3.5_20f55d49bcee809e_.log 2025-12-04T10:40:43.1269914Z Running 0 items in this shard: 2025-12-04T10:40:43.1270127Z 2025-12-04T10:40:43.1270727Z Finished test_meta 3/5 ... [2025-12-04 10:40:43.126334][5243.67630817], took 1.49min 2025-12-04T10:40:43.1434772Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_meta/test_meta-42c4441d20219766.xml 2025-12-04T10:40:50.1093519Z Running test_ops_jit 2/2 ... [2025-12-04 10:40:50.108967][5250.658941817] 2025-12-04T10:40:50.1094051Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:40:50.1097312Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops_jit.py', '-m', 'not serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:40:50.109429] 2025-12-04T10:41:00.2962813Z 2025-12-04T10:41:00.2963899Z test_ops_jit 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_jit_2.2_76bff94c3935582a_.log 2025-12-04T10:41:00.2965018Z Running 0 items in this shard: 2025-12-04T10:41:00.2965336Z 2025-12-04T10:41:00.2965710Z Finished test_ops_jit 2/2 ... [2025-12-04 10:41:00.296203][5260.84617964], took 0.17min 2025-12-04T10:41:00.3132272Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_jit/test_ops_jit-4430e638ba53cd6d.xml 2025-12-04T10:41:07.5849051Z Running test_nestedtensor 2/4 ... [2025-12-04 10:41:07.584559][5268.13453286] 2025-12-04T10:41:07.5849582Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:41:07.5853179Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_nestedtensor.py', '-m', 'not serial', '--shard-id=2', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:41:07.585028] 2025-12-04T10:41:19.2649742Z 2025-12-04T10:41:19.2650832Z test_nestedtensor 2/4 was successful, full logs can be found in artifacts with path test/test-reports/test_nestedtensor_2.4_a5439dee1221bb7f_.log 2025-12-04T10:41:19.2651731Z Running 0 items in this shard: 2025-12-04T10:41:19.2651958Z 2025-12-04T10:41:19.2652260Z Finished test_nestedtensor 2/4 ... [2025-12-04 10:41:19.264887][5279.814861832], took 0.19min 2025-12-04T10:41:19.2826862Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_nestedtensor/test_nestedtensor-d412fabf4aaedde4.xml 2025-12-04T10:41:26.2606250Z Running test_ops 4/11 ... [2025-12-04 10:41:26.260233][5286.810205808] 2025-12-04T10:41:26.2606767Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:41:26.2610997Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops.py', '-m', 'not serial', '--shard-id=4', '--num-shards=11', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:41:26.260725] 2025-12-04T10:42:46.2174446Z 2025-12-04T10:42:46.2175381Z test_ops 4/11 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_4.11_7fc8e627c4c381f3_.log 2025-12-04T10:42:46.2176415Z Running 0 items in this shard: 2025-12-04T10:42:46.2176738Z 2025-12-04T10:42:46.2176994Z Finished test_ops 4/11 ... [2025-12-04 10:42:46.217377][5366.767349388], took 1.33min 2025-12-04T10:42:46.2349792Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-7a7e81b7b7c26cdd.xml 2025-12-04T10:42:53.1448285Z Running test_ops 7/11 ... [2025-12-04 10:42:53.144473][5373.694447794] 2025-12-04T10:42:53.1448800Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:42:53.1452111Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops.py', '-m', 'not serial', '--shard-id=7', '--num-shards=11', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:42:53.144952] 2025-12-04T10:44:02.0834972Z 2025-12-04T10:44:02.0836102Z PRINTING LOG FILE of test_decomp 1/17 (test/test-reports/test_decomp_1.17_50a59b44ece6c6dd_.log) 2025-12-04T10:44:02.0837546Z Test results will be stored in test-reports/python-pytest/test_decomp/test_decomp-6e0533488421248e.xml 2025-12-04T10:44:02.0838423Z ============================= test session starts ============================== 2025-12-04T10:44:02.0839392Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T10:44:02.0840301Z cachedir: .pytest_cache 2025-12-04T10:44:02.0841220Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T10:44:02.0842294Z rootdir: /var/lib/jenkins/workspace 2025-12-04T10:44:02.0842877Z configfile: pytest.ini 2025-12-04T10:44:02.0843613Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T10:44:02.0844415Z collecting ... collected 9008 items 2025-12-04T10:44:02.0844835Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T10:44:02.0866725Z Running 50 items in this shard: test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 2025-12-04T10:44:02.0889069Z 2025-12-04T10:44:02.0889505Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 PASSED [9.3497s] [ 2%] 2025-12-04T10:44:02.0890495Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 PASSED [9.2805s] [ 2%] 2025-12-04T10:44:02.0891470Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 PASSED [9.3846s] [ 2%] 2025-12-04T10:44:02.0892448Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 PASSED [9.3551s] [ 2%] 2025-12-04T10:44:02.0893488Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 PASSED [9.3683s] [ 2%] 2025-12-04T10:44:02.0894494Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 PASSED [9.3495s] [ 2%] 2025-12-04T10:44:02.0895463Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 PASSED [9.3755s] [ 2%] 2025-12-04T10:44:02.0896439Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 PASSED [9.5215s] [ 2%] 2025-12-04T10:44:02.0897420Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 PASSED [9.3870s] [ 2%] 2025-12-04T10:44:02.0898402Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 PASSED [9.2628s] [ 2%] 2025-12-04T10:44:02.0899368Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 PASSED [9.3341s] [ 2%] 2025-12-04T10:44:02.0900530Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 PASSED [9.4861s] [ 2%] 2025-12-04T10:44:02.0901517Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 PASSED [9.2901s] [ 2%] 2025-12-04T10:44:02.0902497Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 PASSED [9.2391s] [ 2%] 2025-12-04T10:44:02.0903484Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 PASSED [9.4118s] [ 2%] 2025-12-04T10:44:02.0904461Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 PASSED [9.2697s] [ 2%] 2025-12-04T10:44:02.0905446Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 PASSED [9.1522s] [ 2%] 2025-12-04T10:44:02.0906489Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 PASSED [9.3049s] [ 2%] 2025-12-04T10:44:02.0907470Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 PASSED [9.5151s] [ 2%] 2025-12-04T10:44:02.0908451Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 PASSED [9.2615s] [ 2%] 2025-12-04T10:44:02.0909440Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 PASSED [9.2403s] [ 2%] 2025-12-04T10:44:02.0910407Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 PASSED [9.2333s] [ 2%] 2025-12-04T10:44:02.0911385Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 PASSED [9.1753s] [ 2%] 2025-12-04T10:44:02.0912367Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 PASSED [9.1654s] [ 2%] 2025-12-04T10:44:02.0913352Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 PASSED [9.1798s] [ 2%] 2025-12-04T10:44:02.0914320Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 PASSED [9.1614s] [ 2%] 2025-12-04T10:44:02.0915363Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 PASSED [9.1867s] [ 2%] 2025-12-04T10:44:02.0916557Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 PASSED [9.1880s] [ 2%] 2025-12-04T10:44:02.0917568Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 PASSED [9.4950s] [ 2%] 2025-12-04T10:44:02.0918568Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 PASSED [9.4354s] [ 2%] 2025-12-04T10:44:02.0919586Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 PASSED [9.4081s] [ 2%] 2025-12-04T10:44:02.0920596Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 PASSED [9.3154s] [ 2%] 2025-12-04T10:44:02.0921611Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 PASSED [9.4622s] [ 2%] 2025-12-04T10:44:02.0922708Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 PASSED [9.5057s] [ 2%] 2025-12-04T10:44:02.0923724Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 PASSED [9.2639s] [ 2%] 2025-12-04T10:44:02.0924788Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 PASSED [9.2545s] [ 2%] 2025-12-04T10:44:02.0925798Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 PASSED [9.2172s] [ 2%] 2025-12-04T10:44:02.0926793Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 PASSED [9.2203s] [ 2%] 2025-12-04T10:44:02.0927916Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 PASSED [9.2019s] [ 2%] 2025-12-04T10:44:02.0928892Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 PASSED [9.2236s] [ 2%] 2025-12-04T10:44:02.0929872Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 PASSED [9.2387s] [ 2%] 2025-12-04T10:44:02.0930836Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 PASSED [9.3983s] [ 2%] 2025-12-04T10:44:02.0931817Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 PASSED [9.5152s] [ 2%] 2025-12-04T10:44:02.0932793Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 FAILED [1.9238s] [ 2%] 2025-12-04T10:44:02.0933771Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 PASSED [9.2173s] [ 2%] 2025-12-04T10:44:02.0934732Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 PASSED [9.2159s] [ 2%] 2025-12-04T10:44:02.0935748Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 PASSED [9.1859s] [ 2%] 2025-12-04T10:44:02.0936720Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 PASSED [9.1682s] [ 2%] 2025-12-04T10:44:02.0937699Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 PASSED [9.1714s] [ 2%] 2025-12-04T10:44:02.0938674Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 PASSED [9.1759s] [ 2%] 2025-12-04T10:44:02.0939240Z 2025-12-04T10:44:02.0939392Z =================================== FAILURES =================================== 2025-12-04T10:44:02.0939980Z ____ TestDecompCUDA.test_comprehensive_nn_functional_nll_loss_cuda_float64 _____ 2025-12-04T10:44:02.0940521Z Traceback (most recent call last): 2025-12-04T10:44:02.0941326Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1151, in test_wrapper 2025-12-04T10:44:02.0942134Z return test(*args, **kwargs) 2025-12-04T10:44:02.0942881Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1473, in only_fn 2025-12-04T10:44:02.0943652Z return fn(self, *args, **kwargs) 2025-12-04T10:44:02.0944384Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1647, in wrapper 2025-12-04T10:44:02.0945124Z fn(*args, **kwargs) 2025-12-04T10:44:02.0945798Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2464, in wrapper 2025-12-04T10:44:02.0946521Z fn(*args, **kwargs) 2025-12-04T10:44:02.0947036Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 602, in test_comprehensive 2025-12-04T10:44:02.0947672Z self.do_cross_ref(device, dtype, op, run_all=True) 2025-12-04T10:44:02.0948455Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper 2025-12-04T10:44:02.0949200Z fn(*args, **kwargs) 2025-12-04T10:44:02.0949682Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 989, in do_cross_ref 2025-12-04T10:44:02.0950400Z decomp_out, decomp_vjp_fn = ref_vjp_no_create(fn, *primals) 2025-12-04T10:44:02.0951051Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 147, in ref_vjp_no_create 2025-12-04T10:44:02.0951682Z result = f(*primals) 2025-12-04T10:44:02.0952155Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 332, in wrapped 2025-12-04T10:44:02.0952670Z result = f(*_args, **kwargs) 2025-12-04T10:44:02.0953298Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 3179, in nll_loss 2025-12-04T10:44:02.0953969Z return torch._C._nn.nll_loss_nd( 2025-12-04T10:44:02.0954523Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 904, in __torch_dispatch__ 2025-12-04T10:44:02.0955100Z op_assert_equal( 2025-12-04T10:44:02.0955847Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 301, in op_assert_equal 2025-12-04T10:44:02.0956436Z test_case.assertEqual( 2025-12-04T10:44:02.0957174Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T10:44:02.0958062Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T10:44:02.0958545Z AssertionError: Scalars are not close! 2025-12-04T10:44:02.0958795Z 2025-12-04T10:44:02.0958917Z Expected 0.0 but got 10.757649417900529. 2025-12-04T10:44:02.0959375Z Absolute difference: 10.757649417900529 (up to 1e-07 allowed) 2025-12-04T10:44:02.0959872Z Relative difference: inf (up to 1e-07 allowed) 2025-12-04T10:44:02.0960269Z nll_loss2d_forward.default 2025-12-04T10:44:02.0960571Z args = (tensor([[[[-4.4896, 3.0513], 2025-12-04T10:44:02.0960902Z [-5.4787, 1.1693]], 2025-12-04T10:44:02.0961095Z 2025-12-04T10:44:02.0961265Z [[-3.6457, -3.2967], 2025-12-04T10:44:02.0961554Z [-4.9368, 6.3443]], 2025-12-04T10:44:02.0961758Z 2025-12-04T10:44:02.0961856Z [[-2.4919, -0.1966], 2025-12-04T10:44:02.0962153Z [ 4.2073, 7.7745]]], 2025-12-04T10:44:02.0962345Z 2025-12-04T10:44:02.0962350Z 2025-12-04T10:44:02.0962464Z [[[ 2.5429, 6.0313], 2025-12-04T10:44:02.0962746Z [ 3.0112, 4.1608]], 2025-12-04T10:44:02.0962948Z 2025-12-04T10:44:02.0963052Z [[ 7.4791, -2.5155], 2025-12-04T10:44:02.0963350Z [-0.7277, 7.4173]], 2025-12-04T10:44:02.0963543Z 2025-12-04T10:44:02.0963638Z [[-7.6495, -8.6749], 2025-12-04T10:44:02.0964022Z [ 7.0393, -4.4170]]]], device='cuda:0', dtype=torch.float64, 2025-12-04T10:44:02.0964477Z requires_grad=True), tensor([[[1, 0], 2025-12-04T10:44:02.0964814Z [1, 0]], 2025-12-04T10:44:02.0964977Z 2025-12-04T10:44:02.0965067Z [[0, 1], 2025-12-04T10:44:02.0965566Z [0, 0]]], device='cuda:0'), tensor([-2.3961, -3.4373, -4.4814], device='cuda:0', dtype=torch.float64), 0, -100) 2025-12-04T10:44:02.0966143Z kwargs = {} 2025-12-04T10:44:02.0966281Z 2025-12-04T10:44:02.0966525Z The above exception was the direct cause of the following exception: 2025-12-04T10:44:02.0966918Z 2025-12-04T10:44:02.0967042Z Traceback (most recent call last): 2025-12-04T10:44:02.0967914Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:44:02.0968663Z method(*args, **kwargs) 2025-12-04T10:44:02.0969347Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:44:02.0970084Z method(*args, **kwargs) 2025-12-04T10:44:02.0970858Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 428, in instantiated_test 2025-12-04T10:44:02.0971687Z result = test(self, **param_kwargs) 2025-12-04T10:44:02.0972479Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper 2025-12-04T10:44:02.0973221Z fn(*args, **kwargs) 2025-12-04T10:44:02.0974038Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1163, in test_wrapper 2025-12-04T10:44:02.0974847Z raise e_tracked from e 2025-12-04T10:44:02.0975151Z Exception: Scalars are not close! 2025-12-04T10:44:02.0975422Z 2025-12-04T10:44:02.0975542Z Expected 0.0 but got 10.757649417900529. 2025-12-04T10:44:02.0975987Z Absolute difference: 10.757649417900529 (up to 1e-07 allowed) 2025-12-04T10:44:02.0976459Z Relative difference: inf (up to 1e-07 allowed) 2025-12-04T10:44:02.0976849Z nll_loss2d_forward.default 2025-12-04T10:44:02.0977161Z args = (tensor([[[[-4.4896, 3.0513], 2025-12-04T10:44:02.0977478Z [-5.4787, 1.1693]], 2025-12-04T10:44:02.0977680Z 2025-12-04T10:44:02.0977779Z [[-3.6457, -3.2967], 2025-12-04T10:44:02.0978080Z [-4.9368, 6.3443]], 2025-12-04T10:44:02.0978267Z 2025-12-04T10:44:02.0978378Z [[-2.4919, -0.1966], 2025-12-04T10:44:02.0978659Z [ 4.2073, 7.7745]]], 2025-12-04T10:44:02.0978863Z 2025-12-04T10:44:02.0978867Z 2025-12-04T10:44:02.0978965Z [[[ 2.5429, 6.0313], 2025-12-04T10:44:02.0979255Z [ 3.0112, 4.1608]], 2025-12-04T10:44:02.0979440Z 2025-12-04T10:44:02.0979536Z [[ 7.4791, -2.5155], 2025-12-04T10:44:02.0979831Z [-0.7277, 7.4173]], 2025-12-04T10:44:02.0980034Z 2025-12-04T10:44:02.0980130Z [[-7.6495, -8.6749], 2025-12-04T10:44:02.0980499Z [ 7.0393, -4.4170]]]], device='cuda:0', dtype=torch.float64, 2025-12-04T10:44:02.0980929Z requires_grad=True), tensor([[[1, 0], 2025-12-04T10:44:02.0981273Z [1, 0]], 2025-12-04T10:44:02.0981417Z 2025-12-04T10:44:02.0981518Z [[0, 1], 2025-12-04T10:44:02.0981983Z [0, 0]]], device='cuda:0'), tensor([-2.3961, -3.4373, -4.4814], device='cuda:0', dtype=torch.float64), 0, -100) 2025-12-04T10:44:02.0982583Z kwargs = {} 2025-12-04T10:44:02.0982725Z 2025-12-04T10:44:02.0983934Z Caused by sample input at index 15: SampleInput(input=Tensor[size=(2, 3, 2, 2), device="cuda:0", dtype=torch.float64], args=TensorList[Tensor[size=(2, 2, 2), device="cuda:0", dtype=torch.int64]], kwargs={'weight': 'Tensor[size=(3,), device="cuda:0", dtype=torch.float64]', 'reduction': "'none'"}, broadcasts_input=False, name='') 2025-12-04T10:44:02.0985277Z 2025-12-04T10:44:02.0985486Z To execute this test, run the following from the base repo dir: 2025-12-04T10:44:02.0986378Z PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=15 python test/test_decomp.py TestDecompCUDA.test_comprehensive_nn_functional_nll_loss_cuda_float64 2025-12-04T10:44:02.0987055Z 2025-12-04T10:44:02.0987314Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:44:02.0988266Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-6e0533488421248e.xml - 2025-12-04T10:44:02.0989137Z =========================== short test summary info ============================ 2025-12-04T10:44:02.0990008Z FAILED [1.9238s] test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64 - Exception: Scalars are not close! 2025-12-04T10:44:02.0990693Z 2025-12-04T10:44:02.0990810Z Expected 0.0 but got 10.757649417900529. 2025-12-04T10:44:02.0991257Z Absolute difference: 10.757649417900529 (up to 1e-07 allowed) 2025-12-04T10:44:02.0991742Z Relative difference: inf (up to 1e-07 allowed) 2025-12-04T10:44:02.0992129Z nll_loss2d_forward.default 2025-12-04T10:44:02.0992428Z args = (tensor([[[[-4.4896, 3.0513], 2025-12-04T10:44:02.0992752Z [-5.4787, 1.1693]], 2025-12-04T10:44:02.0992937Z 2025-12-04T10:44:02.0993044Z [[-3.6457, -3.2967], 2025-12-04T10:44:02.0993320Z [-4.9368, 6.3443]], 2025-12-04T10:44:02.0993517Z 2025-12-04T10:44:02.0993613Z [[-2.4919, -0.1966], 2025-12-04T10:44:02.0993901Z [ 4.2073, 7.7745]]], 2025-12-04T10:44:02.0994088Z 2025-12-04T10:44:02.0994093Z 2025-12-04T10:44:02.0994202Z [[[ 2.5429, 6.0313], 2025-12-04T10:44:02.0994477Z [ 3.0112, 4.1608]], 2025-12-04T10:44:02.0994670Z 2025-12-04T10:44:02.0994765Z [[ 7.4791, -2.5155], 2025-12-04T10:44:02.0995229Z [-0.7277, 7.4173]], 2025-12-04T10:44:02.0995427Z 2025-12-04T10:44:02.0995703Z [[-7.6495, -8.6749], 2025-12-04T10:44:02.0996134Z [ 7.0393, -4.4170]]]], device='cuda:0', dtype=torch.float64, 2025-12-04T10:44:02.0996591Z requires_grad=True), tensor([[[1, 0], 2025-12-04T10:44:02.0996930Z [1, 0]], 2025-12-04T10:44:02.0997091Z 2025-12-04T10:44:02.0997183Z [[0, 1], 2025-12-04T10:44:02.0997672Z [0, 0]]], device='cuda:0'), tensor([-2.3961, -3.4373, -4.4814], device='cuda:0', dtype=torch.float64), 0, -100) 2025-12-04T10:44:02.0998247Z kwargs = {} 2025-12-04T10:44:02.0998386Z 2025-12-04T10:44:02.0999626Z Caused by sample input at index 15: SampleInput(input=Tensor[size=(2, 3, 2, 2), device="cuda:0", dtype=torch.float64], args=TensorList[Tensor[size=(2, 2, 2), device="cuda:0", dtype=torch.int64]], kwargs={'weight': 'Tensor[size=(3,), device="cuda:0", dtype=torch.float64]', 'reduction': "'none'"}, broadcasts_input=False, name='') 2025-12-04T10:44:02.1001252Z 2025-12-04T10:44:02.1001474Z To execute this test, run the following from the base repo dir: 2025-12-04T10:44:02.1002400Z PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=15 python test/test_decomp.py TestDecompCUDA.test_comprehensive_nn_functional_nll_loss_cuda_float64 2025-12-04T10:44:02.1003097Z 2025-12-04T10:44:02.1003378Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:44:02.1003966Z =================== 1 failed, 49 passed in 473.88s (0:07:53) =================== 2025-12-04T10:44:02.1004311Z 2025-12-04T10:44:02.1004708Z FINISHED PRINTING LOG FILE of test_decomp 1/17 (test/test-reports/test_decomp_1.17_50a59b44ece6c6dd_.log) 2025-12-04T10:44:02.1005338Z 2025-12-04T10:44:02.1005610Z Finished test_decomp 1/17 ... [2025-12-04 10:44:02.083126][5442.633101873], took 8.07min 2025-12-04T10:44:02.1095461Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-6e0533488421248e.xml 2025-12-04T10:44:02.7108660Z Uploading logs for 57119749258 to S3 2025-12-04T10:44:02.7509151Z Uploading artifacts took 0.53 seconds 2025-12-04T10:44:02.7509614Z test_decomp 1/17 failed! 2025-12-04T10:44:09.0802388Z Running functorch/test_ops 1/7 ... [2025-12-04 10:44:09.079844][5449.629817936] 2025-12-04T10:44:09.0802951Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:44:09.0806589Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=7', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:44:09.080355] 2025-12-04T10:44:14.2691668Z 2025-12-04T10:44:14.2692758Z test_ops 7/11 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_7.11_2258bf0bc170b7d0_.log 2025-12-04T10:44:14.2730025Z Running 50 items in this shard: test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32 2025-12-04T10:44:14.2768345Z 2025-12-04T10:44:14.2768870Z Finished test_ops 7/11 ... [2025-12-04 10:44:14.269193][5454.819165827], took 1.35min 2025-12-04T10:44:14.2898516Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-0ab09c6966bd12bd.xml 2025-12-04T10:44:21.2834275Z Running functorch/test_ops 4/7 ... [2025-12-04 10:44:21.283039][5461.8330143] 2025-12-04T10:44:21.2834835Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:44:21.2838255Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'not serial', '--shard-id=4', '--num-shards=7', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:44:21.283503] 2025-12-04T10:44:37.8523913Z 2025-12-04T10:44:37.8526069Z functorch/test_ops 1/7 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_1.7_1be97c32e99b11ce_.log 2025-12-04T10:44:37.8527067Z Running 0 items in this shard: 2025-12-04T10:44:37.8527399Z 2025-12-04T10:44:37.8527716Z Finished functorch/test_ops 1/7 ... [2025-12-04 10:44:37.852354][5478.402326707], took 0.48min 2025-12-04T10:44:37.8702227Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_ops/functorch.test_ops-15da3f4369a631d8.xml 2025-12-04T10:44:44.7167615Z Running inductor/test_cpu_repro 2/3 ... [2025-12-04 10:44:44.716323][5485.266297094] 2025-12-04T10:44:44.7168207Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:44:44.7171210Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cpu_repro.py', '-m', 'not serial', '--shard-id=2', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:44:44.716815] 2025-12-04T10:44:50.0621339Z 2025-12-04T10:44:50.0622366Z functorch/test_ops 4/7 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_4.7_176cdaf886ba6125_.log 2025-12-04T10:44:50.0623274Z Running 0 items in this shard: 2025-12-04T10:44:50.0623500Z 2025-12-04T10:44:50.0623808Z Finished functorch/test_ops 4/7 ... [2025-12-04 10:44:50.062099][5490.612074154], took 0.48min 2025-12-04T10:44:50.0802330Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_ops/functorch.test_ops-cb3c1422103246b9.xml 2025-12-04T10:44:57.0927218Z Running dynamo/test_after_aot 1/1 ... [2025-12-04 10:44:57.092352][5497.642325593] 2025-12-04T10:44:57.0928202Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:44:57.0931644Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_after_aot.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:44:57.092837] 2025-12-04T10:44:58.6520392Z 2025-12-04T10:44:58.6521553Z inductor/test_cpu_repro 2/3 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_repro_2.3_8cf2d1821c5335fd_.log 2025-12-04T10:44:58.6522515Z Running 0 items in this shard: 2025-12-04T10:44:58.6522733Z 2025-12-04T10:44:58.6523082Z Finished inductor/test_cpu_repro 2/3 ... [2025-12-04 10:44:58.651959][5499.201933344], took 0.23min 2025-12-04T10:44:58.6701352Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cpu_repro/inductor.test_cpu_repro-9a64dbdb93e64271.xml 2025-12-04T10:45:04.3448606Z 2025-12-04T10:45:04.3449780Z dynamo/test_after_aot 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_after_aot_1.1_03e0bd563e948486_.log 2025-12-04T10:45:04.3450785Z Running 0 items in this shard: 2025-12-04T10:45:04.3450998Z 2025-12-04T10:45:04.3451328Z Finished dynamo/test_after_aot 1/1 ... [2025-12-04 10:45:04.344917][5504.894889747], took 0.12min 2025-12-04T10:45:04.3633637Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_after_aot/dynamo.test_after_aot-152694a39e0f99f7.xml 2025-12-04T10:45:05.6818450Z Running inductor/test_snode_runtime 1/1 ... [2025-12-04 10:45:05.681231][5506.231199861] 2025-12-04T10:45:05.6819785Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:45:05.6827239Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_snode_runtime.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:45:05.682178] 2025-12-04T10:45:11.2511998Z Running inductor/test_minifier 1/1 ... [2025-12-04 10:45:11.250772][5511.800746156] 2025-12-04T10:45:11.2512609Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:45:11.2516002Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_minifier.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:45:11.251272] 2025-12-04T10:45:17.3574542Z 2025-12-04T10:45:17.3575684Z inductor/test_snode_runtime 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_snode_runtime_1.1_5b36ec0ae80e61ee_.log 2025-12-04T10:45:17.3576792Z Running 0 items in this shard: 2025-12-04T10:45:17.3577039Z 2025-12-04T10:45:17.3577387Z Finished inductor/test_snode_runtime 1/1 ... [2025-12-04 10:45:17.357345][5517.907320653], took 0.19min 2025-12-04T10:45:17.3760207Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_snode_runtime/inductor.test_snode_runtime-fcb2f2a33179bb69.xml 2025-12-04T10:45:23.2038406Z 2025-12-04T10:45:23.2039543Z inductor/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_minifier_1.1_bacba4122c43afe9_.log 2025-12-04T10:45:23.2040619Z Running 0 items in this shard: 2025-12-04T10:45:23.2040836Z 2025-12-04T10:45:23.2041250Z Finished inductor/test_minifier 1/1 ... [2025-12-04 10:45:23.203737][5523.753712467], took 0.20min 2025-12-04T10:45:23.2229087Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_minifier/inductor.test_minifier-90171ef242c4a238.xml 2025-12-04T10:45:24.3857047Z Running inductor/test_compiled_autograd 1/1 ... [2025-12-04 10:45:24.385295][5524.935270554] 2025-12-04T10:45:24.3857711Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:45:24.3860621Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_compiled_autograd.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:45:24.385759] 2025-12-04T10:45:30.2513303Z Running inductor/test_cpu_select_algorithm 1/1 ... [2025-12-04 10:45:30.250940][5530.800913752] 2025-12-04T10:45:30.2513952Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:45:30.2517224Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cpu_select_algorithm.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:45:30.251409] 2025-12-04T10:45:42.2825146Z 2025-12-04T10:45:42.2826396Z inductor/test_cpu_select_algorithm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_select_algorithm_1.1_c2cd33b41693083a_.log 2025-12-04T10:45:42.2827434Z Running 0 items in this shard: 2025-12-04T10:45:42.2827652Z 2025-12-04T10:45:42.2828046Z Finished inductor/test_cpu_select_algorithm 1/1 ... [2025-12-04 10:45:42.282438][5542.832412536], took 0.20min 2025-12-04T10:45:42.3024195Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cpu_select_algorithm/inductor.test_cpu_select_algorithm-6008de762fd3ec4f.xml 2025-12-04T10:45:49.2240270Z Running inductor/test_b2b_gemm 1/1 ... [2025-12-04 10:45:49.223613][5549.773587205] 2025-12-04T10:45:49.2240881Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:45:49.2244529Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_b2b_gemm.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:45:49.224141] 2025-12-04T10:45:50.9092657Z 2025-12-04T10:45:50.9094030Z PRINTING LOG FILE of inductor/test_compiled_autograd 1/1 (test/test-reports/inductor.test_compiled_autograd_1.1_e0326bc3df23477c_.log) 2025-12-04T10:45:50.9109084Z Test results will be stored in test-reports/python-pytest/inductor.test_compiled_autograd/inductor.test_compiled_autograd-f2685cc3149cfc71.xml 2025-12-04T10:45:50.9110116Z ============================= test session starts ============================== 2025-12-04T10:45:50.9111003Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T10:45:50.9111700Z cachedir: .pytest_cache 2025-12-04T10:45:50.9112937Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T10:45:50.9114055Z rootdir: /var/lib/jenkins/workspace 2025-12-04T10:45:50.9114400Z configfile: pytest.ini 2025-12-04T10:45:50.9115441Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T10:45:50.9117012Z collecting ... collected 861 items 2025-12-04T10:45:50.9117674Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T10:45:50.9153416Z Running 50 items in this shard: test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel, test/inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:50.9186863Z 2025-12-04T10:45:50.9188075Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py W1204 10:45:42.087000 22480 site-packages/torch/_inductor/utils.py:1703] [!0/0/0] Not enough SMs to use max_autotune_gemm mode 2025-12-04T10:45:50.9189792Z W1204 10:45:42.094000 22480 site-packages/torch/_inductor/utils.py:2565] [!0/0/0] DeviceCopy in input program 2025-12-04T10:45:50.9190757Z W1204 10:45:44.262000 22480 site-packages/torch/_inductor/utils.py:2565] [!1/6/0] DeviceCopy in input program 2025-12-04T10:45:50.9191392Z PASSED [7.2990s] [ 2%] 2025-12-04T10:45:50.9192317Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py FAILED [0.0283s] [ 2%] 2025-12-04T10:45:50.9193986Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py FAILED [0.0012s] [ 2%] 2025-12-04T10:45:50.9195850Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py FAILED [0.0011s] [ 2%] 2025-12-04T10:45:50.9197540Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py FAILED [0.0013s] [ 2%] 2025-12-04T10:45:50.9199219Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py FAILED [0.0010s] [ 2%] 2025-12-04T10:45:50.9201090Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py FAILED [0.0010s] [ 2%] 2025-12-04T10:45:50.9202784Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py FAILED [0.0010s] [ 2%] 2025-12-04T10:45:50.9204455Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py FAILED [0.0009s] [ 2%] 2025-12-04T10:45:50.9206124Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py FAILED [0.0010s] [ 2%] 2025-12-04T10:45:50.9207990Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py FAILED [0.0010s] [ 2%] 2025-12-04T10:45:50.9209624Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py FAILED [0.0010s] [ 2%] 2025-12-04T10:45:50.9211258Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py FAILED [0.0009s] [ 2%] 2025-12-04T10:45:50.9212888Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py FAILED [0.0010s] [ 2%] 2025-12-04T10:45:50.9214512Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py FAILED [0.0009s] [ 2%] 2025-12-04T10:45:50.9216137Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py FAILED [0.0009s] [ 2%] 2025-12-04T10:45:50.9217774Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py FAILED [0.0012s] [ 2%] 2025-12-04T10:45:50.9219402Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py FAILED [0.0010s] [ 2%] 2025-12-04T10:45:50.9221032Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py FAILED [0.0010s] [ 2%] 2025-12-04T10:45:50.9222661Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py FAILED [0.0009s] [ 2%] 2025-12-04T10:45:50.9224280Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py FAILED [0.0009s] [ 2%] 2025-12-04T10:45:50.9225995Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py FAILED [0.0009s] [ 2%] 2025-12-04T10:45:50.9227662Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py FAILED [0.0019s] [ 2%] 2025-12-04T10:45:50.9229289Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py FAILED [0.0009s] [ 2%] 2025-12-04T10:45:50.9230902Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py FAILED [0.0009s] [ 2%] 2025-12-04T10:45:50.9232529Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py FAILED [0.0009s] [ 2%] 2025-12-04T10:45:50.9234158Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py FAILED [0.0010s] [ 2%] 2025-12-04T10:45:50.9236359Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py FAILED [0.0009s] [ 2%] 2025-12-04T10:45:50.9238041Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py FAILED [0.2559s] [ 2%] 2025-12-04T10:45:50.9239716Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py FAILED [0.0011s] [ 2%] 2025-12-04T10:45:50.9241440Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py FAILED [0.0010s] [ 2%] 2025-12-04T10:45:50.9243125Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py FAILED [0.0010s] [ 2%] 2025-12-04T10:45:50.9244811Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py FAILED [0.0010s] [ 2%] 2025-12-04T10:45:50.9246494Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py FAILED [0.0009s] [ 2%] 2025-12-04T10:45:50.9248272Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py FAILED [0.0009s] [ 2%] 2025-12-04T10:45:50.9249902Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py FAILED [0.0009s] [ 2%] 2025-12-04T10:45:50.9251538Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py FAILED [0.0009s] [ 2%] 2025-12-04T10:45:50.9253174Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py FAILED [0.0009s] [ 2%] 2025-12-04T10:45:50.9254809Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py FAILED [0.0012s] [ 2%] 2025-12-04T10:45:50.9256420Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py FAILED [0.0010s] [ 2%] 2025-12-04T10:45:50.9258050Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py FAILED [0.0009s] [ 2%] 2025-12-04T10:45:50.9259681Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py FAILED [0.0009s] [ 2%] 2025-12-04T10:45:50.9261388Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py FAILED [0.0009s] [ 2%] 2025-12-04T10:45:50.9263040Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py FAILED [0.0009s] [ 2%] 2025-12-04T10:45:50.9264672Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py FAILED [0.0012s] [ 2%] 2025-12-04T10:45:50.9266311Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py FAILED [0.0010s] [ 2%] 2025-12-04T10:45:50.9267950Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py FAILED [0.0009s] [ 2%] 2025-12-04T10:45:50.9269585Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py FAILED [0.0009s] [ 2%] 2025-12-04T10:45:50.9271208Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py FAILED [0.0009s] [ 2%] 2025-12-04T10:45:50.9272851Z inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel <- test/test_autograd.py FAILED [0.0009s] [ 2%] 2025-12-04T10:45:50.9273746Z 2025-12-04T10:45:50.9273896Z =================================== FAILURES =================================== 2025-12-04T10:45:50.9274587Z _ TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel _ 2025-12-04T10:45:50.9275274Z Traceback (most recent call last): 2025-12-04T10:45:50.9276231Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:45:50.9277003Z method(*args, **kwargs) 2025-12-04T10:45:50.9277629Z File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 5058, in wrapped 2025-12-04T10:45:50.9278291Z stack.enter_context(ctx) 2025-12-04T10:45:50.9278825Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 492, in enter_context 2025-12-04T10:45:50.9279408Z result = _cm_type.__enter__(cm) 2025-12-04T10:45:50.9279932Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 133, in __enter__ 2025-12-04T10:45:50.9280502Z del self.args, self.kwds, self.func 2025-12-04T10:45:50.9280855Z AttributeError: args 2025-12-04T10:45:50.9281032Z 2025-12-04T10:45:50.9281258Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:50.9282104Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:50.9282754Z 2025-12-04T10:45:50.9283026Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:50.9283663Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:45:50.9286639Z /var/lib/jenkins/workspace/test/test_autograd.py:7724: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9289534Z b_grad = a.grad 2025-12-04T10:45:50.9293225Z /var/lib/jenkins/workspace/test/test_autograd.py:7731: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9296009Z c_grad = a.grad 2025-12-04T10:45:50.9296523Z _ TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel _ 2025-12-04T10:45:50.9297150Z Traceback (most recent call last): 2025-12-04T10:45:50.9297897Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:45:50.9298638Z method(*args, **kwargs) 2025-12-04T10:45:50.9299239Z File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 5058, in wrapped 2025-12-04T10:45:50.9299894Z stack.enter_context(ctx) 2025-12-04T10:45:50.9300629Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 492, in enter_context 2025-12-04T10:45:50.9301183Z result = _cm_type.__enter__(cm) 2025-12-04T10:45:50.9301705Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 133, in __enter__ 2025-12-04T10:45:50.9302262Z del self.args, self.kwds, self.func 2025-12-04T10:45:50.9302599Z AttributeError: args 2025-12-04T10:45:50.9302782Z 2025-12-04T10:45:50.9302991Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:50.9303825Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:50.9304557Z 2025-12-04T10:45:50.9304832Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:50.9305439Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:45:50.9308333Z /var/lib/jenkins/workspace/test/test_autograd.py:7724: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9311052Z b_grad = a.grad 2025-12-04T10:45:50.9313715Z /var/lib/jenkins/workspace/test/test_autograd.py:7731: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9316710Z c_grad = a.grad 2025-12-04T10:45:50.9317250Z _ TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel _ 2025-12-04T10:45:50.9317883Z Traceback (most recent call last): 2025-12-04T10:45:50.9318652Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:45:50.9319425Z method(*args, **kwargs) 2025-12-04T10:45:50.9320028Z File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 5058, in wrapped 2025-12-04T10:45:50.9320697Z stack.enter_context(ctx) 2025-12-04T10:45:50.9321233Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 492, in enter_context 2025-12-04T10:45:50.9321815Z result = _cm_type.__enter__(cm) 2025-12-04T10:45:50.9322432Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 133, in __enter__ 2025-12-04T10:45:50.9323009Z del self.args, self.kwds, self.func 2025-12-04T10:45:50.9323420Z AttributeError: args 2025-12-04T10:45:50.9323596Z 2025-12-04T10:45:50.9323811Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:50.9324674Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:50.9325315Z 2025-12-04T10:45:50.9325594Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:50.9326229Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:45:50.9329266Z /var/lib/jenkins/workspace/test/test_autograd.py:7724: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9331978Z b_grad = a.grad 2025-12-04T10:45:50.9334639Z /var/lib/jenkins/workspace/test/test_autograd.py:7731: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9337393Z c_grad = a.grad 2025-12-04T10:45:50.9337918Z _ TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel _ 2025-12-04T10:45:50.9338537Z Traceback (most recent call last): 2025-12-04T10:45:50.9339264Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:45:50.9340010Z method(*args, **kwargs) 2025-12-04T10:45:50.9340602Z File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 5058, in wrapped 2025-12-04T10:45:50.9341230Z stack.enter_context(ctx) 2025-12-04T10:45:50.9341744Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 492, in enter_context 2025-12-04T10:45:50.9342305Z result = _cm_type.__enter__(cm) 2025-12-04T10:45:50.9342825Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 133, in __enter__ 2025-12-04T10:45:50.9343365Z del self.args, self.kwds, self.func 2025-12-04T10:45:50.9343712Z AttributeError: args 2025-12-04T10:45:50.9343880Z 2025-12-04T10:45:50.9344102Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:50.9344919Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:50.9345552Z 2025-12-04T10:45:50.9345809Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:50.9346417Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:45:50.9349344Z /var/lib/jenkins/workspace/test/test_autograd.py:7724: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9352061Z b_grad = a.grad 2025-12-04T10:45:50.9354706Z /var/lib/jenkins/workspace/test/test_autograd.py:7731: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9357763Z c_grad = a.grad 2025-12-04T10:45:50.9358303Z _ TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel _ 2025-12-04T10:45:50.9358947Z Traceback (most recent call last): 2025-12-04T10:45:50.9359715Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:45:50.9360477Z method(*args, **kwargs) 2025-12-04T10:45:50.9361091Z File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 5058, in wrapped 2025-12-04T10:45:50.9361757Z stack.enter_context(ctx) 2025-12-04T10:45:50.9362276Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 492, in enter_context 2025-12-04T10:45:50.9362858Z result = _cm_type.__enter__(cm) 2025-12-04T10:45:50.9363392Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 133, in __enter__ 2025-12-04T10:45:50.9363960Z del self.args, self.kwds, self.func 2025-12-04T10:45:50.9364304Z AttributeError: args 2025-12-04T10:45:50.9364531Z 2025-12-04T10:45:50.9364745Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:50.9365605Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:50.9366338Z 2025-12-04T10:45:50.9366692Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:50.9367333Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:45:50.9370369Z /var/lib/jenkins/workspace/test/test_autograd.py:7724: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9373124Z b_grad = a.grad 2025-12-04T10:45:50.9375780Z /var/lib/jenkins/workspace/test/test_autograd.py:7731: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9378499Z c_grad = a.grad 2025-12-04T10:45:50.9379004Z _ TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel _ 2025-12-04T10:45:50.9379623Z Traceback (most recent call last): 2025-12-04T10:45:50.9380383Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:45:50.9381203Z method(*args, **kwargs) 2025-12-04T10:45:50.9381784Z File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 5058, in wrapped 2025-12-04T10:45:50.9382547Z stack.enter_context(ctx) 2025-12-04T10:45:50.9383072Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 492, in enter_context 2025-12-04T10:45:50.9383661Z result = _cm_type.__enter__(cm) 2025-12-04T10:45:50.9384179Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 133, in __enter__ 2025-12-04T10:45:50.9384734Z del self.args, self.kwds, self.func 2025-12-04T10:45:50.9385111Z AttributeError: args 2025-12-04T10:45:50.9385353Z 2025-12-04T10:45:50.9385561Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:50.9386394Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:50.9387027Z 2025-12-04T10:45:50.9387297Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:50.9387895Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:45:50.9390763Z /var/lib/jenkins/workspace/test/test_autograd.py:7724: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9393492Z b_grad = a.grad 2025-12-04T10:45:50.9396433Z /var/lib/jenkins/workspace/test/test_autograd.py:7731: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9399295Z c_grad = a.grad 2025-12-04T10:45:50.9399836Z _ TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel _ 2025-12-04T10:45:50.9400672Z Traceback (most recent call last): 2025-12-04T10:45:50.9401442Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:45:50.9402221Z method(*args, **kwargs) 2025-12-04T10:45:50.9402833Z File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 5058, in wrapped 2025-12-04T10:45:50.9403490Z stack.enter_context(ctx) 2025-12-04T10:45:50.9404024Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 492, in enter_context 2025-12-04T10:45:50.9404609Z result = _cm_type.__enter__(cm) 2025-12-04T10:45:50.9405142Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 133, in __enter__ 2025-12-04T10:45:50.9405714Z del self.args, self.kwds, self.func 2025-12-04T10:45:50.9406073Z AttributeError: args 2025-12-04T10:45:50.9406250Z 2025-12-04T10:45:50.9406476Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:50.9407449Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:50.9408082Z 2025-12-04T10:45:50.9408339Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:50.9408951Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:45:50.9411949Z /var/lib/jenkins/workspace/test/test_autograd.py:7724: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9414722Z b_grad = a.grad 2025-12-04T10:45:50.9417360Z /var/lib/jenkins/workspace/test/test_autograd.py:7731: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9420078Z c_grad = a.grad 2025-12-04T10:45:50.9420606Z _ TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel _ 2025-12-04T10:45:50.9421229Z Traceback (most recent call last): 2025-12-04T10:45:50.9421959Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:45:50.9422706Z method(*args, **kwargs) 2025-12-04T10:45:50.9423302Z File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 5058, in wrapped 2025-12-04T10:45:50.9423945Z stack.enter_context(ctx) 2025-12-04T10:45:50.9424452Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 492, in enter_context 2025-12-04T10:45:50.9425066Z result = _cm_type.__enter__(cm) 2025-12-04T10:45:50.9425585Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 133, in __enter__ 2025-12-04T10:45:50.9426126Z del self.args, self.kwds, self.func 2025-12-04T10:45:50.9426472Z AttributeError: args 2025-12-04T10:45:50.9426657Z 2025-12-04T10:45:50.9426867Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:50.9427697Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:50.9428322Z 2025-12-04T10:45:50.9428579Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:50.9429188Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:45:50.9432057Z /var/lib/jenkins/workspace/test/test_autograd.py:7724: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9434773Z b_grad = a.grad 2025-12-04T10:45:50.9437759Z /var/lib/jenkins/workspace/test/test_autograd.py:7731: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9440565Z c_grad = a.grad 2025-12-04T10:45:50.9441092Z _ TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel _ 2025-12-04T10:45:50.9441730Z Traceback (most recent call last): 2025-12-04T10:45:50.9442564Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:45:50.9443321Z method(*args, **kwargs) 2025-12-04T10:45:50.9443965Z File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 5058, in wrapped 2025-12-04T10:45:50.9444642Z stack.enter_context(ctx) 2025-12-04T10:45:50.9445177Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 492, in enter_context 2025-12-04T10:45:50.9445747Z result = _cm_type.__enter__(cm) 2025-12-04T10:45:50.9446282Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 133, in __enter__ 2025-12-04T10:45:50.9446851Z del self.args, self.kwds, self.func 2025-12-04T10:45:50.9447198Z AttributeError: args 2025-12-04T10:45:50.9447383Z 2025-12-04T10:45:50.9447597Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:50.9448558Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:50.9449177Z 2025-12-04T10:45:50.9449451Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:50.9450049Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:45:50.9452917Z /var/lib/jenkins/workspace/test/test_autograd.py:7724: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9455673Z b_grad = a.grad 2025-12-04T10:45:50.9458335Z /var/lib/jenkins/workspace/test/test_autograd.py:7731: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9461056Z c_grad = a.grad 2025-12-04T10:45:50.9461577Z _ TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel _ 2025-12-04T10:45:50.9462185Z Traceback (most recent call last): 2025-12-04T10:45:50.9462936Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:45:50.9463688Z method(*args, **kwargs) 2025-12-04T10:45:50.9464269Z File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 5058, in wrapped 2025-12-04T10:45:50.9464920Z stack.enter_context(ctx) 2025-12-04T10:45:50.9465439Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 492, in enter_context 2025-12-04T10:45:50.9466003Z result = _cm_type.__enter__(cm) 2025-12-04T10:45:50.9466555Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 133, in __enter__ 2025-12-04T10:45:50.9467108Z del self.args, self.kwds, self.func 2025-12-04T10:45:50.9467454Z AttributeError: args 2025-12-04T10:45:50.9467622Z 2025-12-04T10:45:50.9467827Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:50.9468658Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:50.9469298Z 2025-12-04T10:45:50.9469562Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:50.9470167Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:45:50.9473135Z /var/lib/jenkins/workspace/test/test_autograd.py:7724: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9476210Z b_grad = a.grad 2025-12-04T10:45:50.9478955Z /var/lib/jenkins/workspace/test/test_autograd.py:7731: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9481942Z c_grad = a.grad 2025-12-04T10:45:50.9482484Z _ TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel _ 2025-12-04T10:45:50.9483127Z Traceback (most recent call last): 2025-12-04T10:45:50.9483879Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:45:50.9484687Z method(*args, **kwargs) 2025-12-04T10:45:50.9485327Z File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 5058, in wrapped 2025-12-04T10:45:50.9486047Z stack.enter_context(ctx) 2025-12-04T10:45:50.9486586Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 492, in enter_context 2025-12-04T10:45:50.9487174Z result = _cm_type.__enter__(cm) 2025-12-04T10:45:50.9487833Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 133, in __enter__ 2025-12-04T10:45:50.9488377Z del self.args, self.kwds, self.func 2025-12-04T10:45:50.9488732Z AttributeError: args 2025-12-04T10:45:50.9488903Z 2025-12-04T10:45:50.9489122Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:50.9489943Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:50.9490583Z 2025-12-04T10:45:50.9490839Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:50.9491453Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:45:50.9494331Z /var/lib/jenkins/workspace/test/test_autograd.py:7724: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9497059Z b_grad = a.grad 2025-12-04T10:45:50.9499713Z /var/lib/jenkins/workspace/test/test_autograd.py:7731: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9502627Z c_grad = a.grad 2025-12-04T10:45:50.9503250Z _ TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel _ 2025-12-04T10:45:50.9503874Z Traceback (most recent call last): 2025-12-04T10:45:50.9504660Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:45:50.9505394Z method(*args, **kwargs) 2025-12-04T10:45:50.9505991Z File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 5058, in wrapped 2025-12-04T10:45:50.9506640Z stack.enter_context(ctx) 2025-12-04T10:45:50.9507143Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 492, in enter_context 2025-12-04T10:45:50.9507719Z result = _cm_type.__enter__(cm) 2025-12-04T10:45:50.9508237Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 133, in __enter__ 2025-12-04T10:45:50.9508788Z del self.args, self.kwds, self.func 2025-12-04T10:45:50.9509120Z AttributeError: args 2025-12-04T10:45:50.9509301Z 2025-12-04T10:45:50.9509513Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:50.9510352Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:50.9510973Z 2025-12-04T10:45:50.9511242Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:50.9511842Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:45:50.9514707Z /var/lib/jenkins/workspace/test/test_autograd.py:7724: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9517793Z b_grad = a.grad 2025-12-04T10:45:50.9520524Z /var/lib/jenkins/workspace/test/test_autograd.py:7731: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9523331Z c_grad = a.grad 2025-12-04T10:45:50.9523853Z _ TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel _ 2025-12-04T10:45:50.9524497Z Traceback (most recent call last): 2025-12-04T10:45:50.9525269Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:45:50.9526041Z method(*args, **kwargs) 2025-12-04T10:45:50.9526643Z File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 5058, in wrapped 2025-12-04T10:45:50.9527439Z stack.enter_context(ctx) 2025-12-04T10:45:50.9527958Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 492, in enter_context 2025-12-04T10:45:50.9528512Z result = _cm_type.__enter__(cm) 2025-12-04T10:45:50.9529033Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 133, in __enter__ 2025-12-04T10:45:50.9529583Z del self.args, self.kwds, self.func 2025-12-04T10:45:50.9529940Z AttributeError: args 2025-12-04T10:45:50.9530110Z 2025-12-04T10:45:50.9530319Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:50.9531154Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:50.9531859Z 2025-12-04T10:45:50.9532130Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:50.9532773Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:45:50.9535632Z /var/lib/jenkins/workspace/test/test_autograd.py:7724: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9538357Z b_grad = a.grad 2025-12-04T10:45:50.9541029Z /var/lib/jenkins/workspace/test/test_autograd.py:7731: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9543738Z c_grad = a.grad 2025-12-04T10:45:50.9544257Z _ TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel _ 2025-12-04T10:45:50.9544873Z Traceback (most recent call last): 2025-12-04T10:45:50.9545645Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:45:50.9546385Z method(*args, **kwargs) 2025-12-04T10:45:50.9546981Z File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 5058, in wrapped 2025-12-04T10:45:50.9547618Z stack.enter_context(ctx) 2025-12-04T10:45:50.9548135Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 492, in enter_context 2025-12-04T10:45:50.9548698Z result = _cm_type.__enter__(cm) 2025-12-04T10:45:50.9549199Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 133, in __enter__ 2025-12-04T10:45:50.9549751Z del self.args, self.kwds, self.func 2025-12-04T10:45:50.9550096Z AttributeError: args 2025-12-04T10:45:50.9550266Z 2025-12-04T10:45:50.9550483Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:50.9551303Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:50.9551937Z 2025-12-04T10:45:50.9552194Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:50.9552800Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:45:50.9556013Z /var/lib/jenkins/workspace/test/test_autograd.py:7724: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9558890Z b_grad = a.grad 2025-12-04T10:45:50.9561705Z /var/lib/jenkins/workspace/test/test_autograd.py:7731: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9564548Z c_grad = a.grad 2025-12-04T10:45:50.9565085Z _ TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel _ 2025-12-04T10:45:50.9565730Z Traceback (most recent call last): 2025-12-04T10:45:50.9566485Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:45:50.9567255Z method(*args, **kwargs) 2025-12-04T10:45:50.9567991Z File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 5058, in wrapped 2025-12-04T10:45:50.9568638Z stack.enter_context(ctx) 2025-12-04T10:45:50.9569144Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 492, in enter_context 2025-12-04T10:45:50.9569705Z result = _cm_type.__enter__(cm) 2025-12-04T10:45:50.9570308Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 133, in __enter__ 2025-12-04T10:45:50.9570852Z del self.args, self.kwds, self.func 2025-12-04T10:45:50.9571204Z AttributeError: args 2025-12-04T10:45:50.9571388Z 2025-12-04T10:45:50.9571597Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:50.9572436Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:50.9573073Z 2025-12-04T10:45:50.9573335Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:50.9573950Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:45:50.9576843Z /var/lib/jenkins/workspace/test/test_autograd.py:7724: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9579566Z b_grad = a.grad 2025-12-04T10:45:50.9582217Z /var/lib/jenkins/workspace/test/test_autograd.py:7731: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9584925Z c_grad = a.grad 2025-12-04T10:45:50.9585450Z _ TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel _ 2025-12-04T10:45:50.9586080Z Traceback (most recent call last): 2025-12-04T10:45:50.9586811Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:45:50.9587565Z method(*args, **kwargs) 2025-12-04T10:45:50.9588168Z File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 5058, in wrapped 2025-12-04T10:45:50.9588806Z stack.enter_context(ctx) 2025-12-04T10:45:50.9589328Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 492, in enter_context 2025-12-04T10:45:50.9589902Z result = _cm_type.__enter__(cm) 2025-12-04T10:45:50.9590425Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 133, in __enter__ 2025-12-04T10:45:50.9590963Z del self.args, self.kwds, self.func 2025-12-04T10:45:50.9591321Z AttributeError: args 2025-12-04T10:45:50.9591557Z 2025-12-04T10:45:50.9591779Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:50.9592602Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:50.9593293Z 2025-12-04T10:45:50.9593554Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:50.9594168Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:45:50.9597337Z /var/lib/jenkins/workspace/test/test_autograd.py:7724: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9600309Z b_grad = a.grad 2025-12-04T10:45:50.9603089Z /var/lib/jenkins/workspace/test/test_autograd.py:7731: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9605949Z c_grad = a.grad 2025-12-04T10:45:50.9606484Z _ TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel _ 2025-12-04T10:45:50.9607120Z Traceback (most recent call last): 2025-12-04T10:45:50.9607997Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:45:50.9608731Z method(*args, **kwargs) 2025-12-04T10:45:50.9609328Z File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 5058, in wrapped 2025-12-04T10:45:50.9609970Z stack.enter_context(ctx) 2025-12-04T10:45:50.9610472Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 492, in enter_context 2025-12-04T10:45:50.9611031Z result = _cm_type.__enter__(cm) 2025-12-04T10:45:50.9611545Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 133, in __enter__ 2025-12-04T10:45:50.9612095Z del self.args, self.kwds, self.func 2025-12-04T10:45:50.9612433Z AttributeError: args 2025-12-04T10:45:50.9612615Z 2025-12-04T10:45:50.9612824Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:50.9613657Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:50.9614279Z 2025-12-04T10:45:50.9614538Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:50.9615150Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:45:50.9618005Z /var/lib/jenkins/workspace/test/test_autograd.py:7724: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9620721Z b_grad = a.grad 2025-12-04T10:45:50.9623449Z /var/lib/jenkins/workspace/test/test_autograd.py:7731: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9626210Z c_grad = a.grad 2025-12-04T10:45:50.9626721Z _ TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel _ 2025-12-04T10:45:50.9627348Z Traceback (most recent call last): 2025-12-04T10:45:50.9628099Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:45:50.9628852Z method(*args, **kwargs) 2025-12-04T10:45:50.9629438Z File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 5058, in wrapped 2025-12-04T10:45:50.9630084Z stack.enter_context(ctx) 2025-12-04T10:45:50.9630599Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 492, in enter_context 2025-12-04T10:45:50.9631152Z result = _cm_type.__enter__(cm) 2025-12-04T10:45:50.9631669Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 133, in __enter__ 2025-12-04T10:45:50.9632220Z del self.args, self.kwds, self.func 2025-12-04T10:45:50.9632565Z AttributeError: args 2025-12-04T10:45:50.9632731Z 2025-12-04T10:45:50.9632937Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:50.9633764Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:50.9634418Z 2025-12-04T10:45:50.9634688Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:50.9635353Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:45:50.9638487Z /var/lib/jenkins/workspace/test/test_autograd.py:7724: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9641286Z b_grad = a.grad 2025-12-04T10:45:50.9644029Z /var/lib/jenkins/workspace/test/test_autograd.py:7731: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9646822Z c_grad = a.grad 2025-12-04T10:45:50.9647356Z _ TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel _ 2025-12-04T10:45:50.9648108Z Traceback (most recent call last): 2025-12-04T10:45:50.9648847Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:45:50.9649591Z method(*args, **kwargs) 2025-12-04T10:45:50.9650191Z File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 5058, in wrapped 2025-12-04T10:45:50.9650821Z stack.enter_context(ctx) 2025-12-04T10:45:50.9651336Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 492, in enter_context 2025-12-04T10:45:50.9651973Z result = _cm_type.__enter__(cm) 2025-12-04T10:45:50.9652478Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 133, in __enter__ 2025-12-04T10:45:50.9653063Z del self.args, self.kwds, self.func 2025-12-04T10:45:50.9653410Z AttributeError: args 2025-12-04T10:45:50.9653580Z 2025-12-04T10:45:50.9653801Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:50.9654705Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:50.9655340Z 2025-12-04T10:45:50.9655597Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:50.9656210Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:45:50.9659078Z /var/lib/jenkins/workspace/test/test_autograd.py:7724: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9661809Z b_grad = a.grad 2025-12-04T10:45:50.9664446Z /var/lib/jenkins/workspace/test/test_autograd.py:7731: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9667199Z c_grad = a.grad 2025-12-04T10:45:50.9667719Z _ TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel _ 2025-12-04T10:45:50.9668339Z Traceback (most recent call last): 2025-12-04T10:45:50.9669065Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:45:50.9669811Z method(*args, **kwargs) 2025-12-04T10:45:50.9670403Z File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 5058, in wrapped 2025-12-04T10:45:50.9671139Z stack.enter_context(ctx) 2025-12-04T10:45:50.9671641Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 492, in enter_context 2025-12-04T10:45:50.9672204Z result = _cm_type.__enter__(cm) 2025-12-04T10:45:50.9672722Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 133, in __enter__ 2025-12-04T10:45:50.9673261Z del self.args, self.kwds, self.func 2025-12-04T10:45:50.9673612Z AttributeError: args 2025-12-04T10:45:50.9673785Z 2025-12-04T10:45:50.9674007Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:50.9674842Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:50.9675530Z 2025-12-04T10:45:50.9675970Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:50.9676605Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:45:50.9679629Z /var/lib/jenkins/workspace/test/test_autograd.py:7724: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9682448Z b_grad = a.grad 2025-12-04T10:45:50.9685219Z /var/lib/jenkins/workspace/test/test_autograd.py:7731: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9688145Z c_grad = a.grad 2025-12-04T10:45:50.9688660Z _ TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel _ 2025-12-04T10:45:50.9689286Z Traceback (most recent call last): 2025-12-04T10:45:50.9690031Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:45:50.9690772Z method(*args, **kwargs) 2025-12-04T10:45:50.9691372Z File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 5058, in wrapped 2025-12-04T10:45:50.9692022Z stack.enter_context(ctx) 2025-12-04T10:45:50.9692545Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 492, in enter_context 2025-12-04T10:45:50.9693103Z result = _cm_type.__enter__(cm) 2025-12-04T10:45:50.9693629Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 133, in __enter__ 2025-12-04T10:45:50.9694258Z del self.args, self.kwds, self.func 2025-12-04T10:45:50.9694632Z AttributeError: args 2025-12-04T10:45:50.9694818Z 2025-12-04T10:45:50.9695026Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:50.9695862Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:50.9696487Z 2025-12-04T10:45:50.9696756Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:50.9697357Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:45:50.9700406Z /var/lib/jenkins/workspace/test/test_autograd.py:7724: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9703136Z b_grad = a.grad 2025-12-04T10:45:50.9705789Z /var/lib/jenkins/workspace/test/test_autograd.py:7731: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9708494Z c_grad = a.grad 2025-12-04T10:45:50.9709013Z _ TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel _ 2025-12-04T10:45:50.9709622Z Traceback (most recent call last): 2025-12-04T10:45:50.9710363Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:45:50.9711112Z method(*args, **kwargs) 2025-12-04T10:45:50.9711823Z File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 5058, in wrapped 2025-12-04T10:45:50.9712472Z stack.enter_context(ctx) 2025-12-04T10:45:50.9712987Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 492, in enter_context 2025-12-04T10:45:50.9713610Z result = _cm_type.__enter__(cm) 2025-12-04T10:45:50.9714120Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 133, in __enter__ 2025-12-04T10:45:50.9714678Z del self.args, self.kwds, self.func 2025-12-04T10:45:50.9715032Z AttributeError: args 2025-12-04T10:45:50.9715261Z 2025-12-04T10:45:50.9715471Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:50.9716508Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:50.9717166Z 2025-12-04T10:45:50.9717428Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:50.9718058Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:45:50.9720999Z /var/lib/jenkins/workspace/test/test_autograd.py:7724: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9723805Z b_grad = a.grad 2025-12-04T10:45:50.9726594Z /var/lib/jenkins/workspace/test/test_autograd.py:7731: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9729453Z c_grad = a.grad 2025-12-04T10:45:50.9729972Z _ TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel _ 2025-12-04T10:45:50.9730595Z Traceback (most recent call last): 2025-12-04T10:45:50.9731324Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:45:50.9732069Z method(*args, **kwargs) 2025-12-04T10:45:50.9732662Z File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 5058, in wrapped 2025-12-04T10:45:50.9733294Z stack.enter_context(ctx) 2025-12-04T10:45:50.9733809Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 492, in enter_context 2025-12-04T10:45:50.9734375Z result = _cm_type.__enter__(cm) 2025-12-04T10:45:50.9734896Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 133, in __enter__ 2025-12-04T10:45:50.9735439Z del self.args, self.kwds, self.func 2025-12-04T10:45:50.9735785Z AttributeError: args 2025-12-04T10:45:50.9735953Z 2025-12-04T10:45:50.9736171Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:50.9736990Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:50.9737621Z 2025-12-04T10:45:50.9737876Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:50.9738488Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:45:50.9741406Z /var/lib/jenkins/workspace/test/test_autograd.py:7724: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9744157Z b_grad = a.grad 2025-12-04T10:45:50.9746803Z /var/lib/jenkins/workspace/test/test_autograd.py:7731: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9749498Z c_grad = a.grad 2025-12-04T10:45:50.9750022Z _ TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel _ 2025-12-04T10:45:50.9750646Z Traceback (most recent call last): 2025-12-04T10:45:50.9751382Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:45:50.9752116Z method(*args, **kwargs) 2025-12-04T10:45:50.9752708Z File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 5058, in wrapped 2025-12-04T10:45:50.9753349Z stack.enter_context(ctx) 2025-12-04T10:45:50.9753852Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 492, in enter_context 2025-12-04T10:45:50.9754452Z result = _cm_type.__enter__(cm) 2025-12-04T10:45:50.9754968Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 133, in __enter__ 2025-12-04T10:45:50.9755585Z del self.args, self.kwds, self.func 2025-12-04T10:45:50.9756114Z AttributeError: args 2025-12-04T10:45:50.9756301Z 2025-12-04T10:45:50.9756514Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:50.9757373Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:50.9758011Z 2025-12-04T10:45:50.9758276Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:50.9758904Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:45:50.9761860Z /var/lib/jenkins/workspace/test/test_autograd.py:7724: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9764662Z b_grad = a.grad 2025-12-04T10:45:50.9767515Z /var/lib/jenkins/workspace/test/test_autograd.py:7731: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9770225Z c_grad = a.grad 2025-12-04T10:45:50.9770731Z _ TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel _ 2025-12-04T10:45:50.9771350Z Traceback (most recent call last): 2025-12-04T10:45:50.9772149Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:45:50.9772924Z method(*args, **kwargs) 2025-12-04T10:45:50.9773504Z File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 5058, in wrapped 2025-12-04T10:45:50.9774150Z stack.enter_context(ctx) 2025-12-04T10:45:50.9774672Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 492, in enter_context 2025-12-04T10:45:50.9775226Z result = _cm_type.__enter__(cm) 2025-12-04T10:45:50.9775762Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 133, in __enter__ 2025-12-04T10:45:50.9776323Z del self.args, self.kwds, self.func 2025-12-04T10:45:50.9776673Z AttributeError: args 2025-12-04T10:45:50.9776844Z 2025-12-04T10:45:50.9777051Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:50.9777890Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:50.9778512Z 2025-12-04T10:45:50.9778784Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:50.9779386Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:45:50.9782252Z /var/lib/jenkins/workspace/test/test_autograd.py:7724: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9785032Z b_grad = a.grad 2025-12-04T10:45:50.9787686Z /var/lib/jenkins/workspace/test/test_autograd.py:7731: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9790398Z c_grad = a.grad 2025-12-04T10:45:50.9790922Z _ TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel _ 2025-12-04T10:45:50.9791536Z Traceback (most recent call last): 2025-12-04T10:45:50.9792281Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:45:50.9793037Z method(*args, **kwargs) 2025-12-04T10:45:50.9793637Z File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 5058, in wrapped 2025-12-04T10:45:50.9794271Z stack.enter_context(ctx) 2025-12-04T10:45:50.9794873Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 492, in enter_context 2025-12-04T10:45:50.9795506Z result = _cm_type.__enter__(cm) 2025-12-04T10:45:50.9796242Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 133, in __enter__ 2025-12-04T10:45:50.9796818Z del self.args, self.kwds, self.func 2025-12-04T10:45:50.9797181Z AttributeError: args 2025-12-04T10:45:50.9797356Z 2025-12-04T10:45:50.9797580Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:50.9798424Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:50.9799076Z 2025-12-04T10:45:50.9799339Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:50.9800039Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:45:50.9803187Z /var/lib/jenkins/workspace/test/test_autograd.py:7724: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9806068Z b_grad = a.grad 2025-12-04T10:45:50.9808899Z /var/lib/jenkins/workspace/test/test_autograd.py:7731: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9811608Z c_grad = a.grad 2025-12-04T10:45:50.9812125Z _ TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel _ 2025-12-04T10:45:50.9812747Z Traceback (most recent call last): 2025-12-04T10:45:50.9813469Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:45:50.9814214Z method(*args, **kwargs) 2025-12-04T10:45:50.9814856Z File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 5058, in wrapped 2025-12-04T10:45:50.9815501Z stack.enter_context(ctx) 2025-12-04T10:45:50.9816007Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 492, in enter_context 2025-12-04T10:45:50.9816574Z result = _cm_type.__enter__(cm) 2025-12-04T10:45:50.9817093Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 133, in __enter__ 2025-12-04T10:45:50.9817634Z del self.args, self.kwds, self.func 2025-12-04T10:45:50.9817980Z AttributeError: args 2025-12-04T10:45:50.9818150Z 2025-12-04T10:45:50.9818368Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:50.9819197Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:50.9819815Z 2025-12-04T10:45:50.9820071Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:50.9820682Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:45:50.9823546Z /var/lib/jenkins/workspace/test/test_autograd.py:7724: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9826255Z b_grad = a.grad 2025-12-04T10:45:50.9829002Z /var/lib/jenkins/workspace/test/test_autograd.py:7731: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9831718Z c_grad = a.grad 2025-12-04T10:45:50.9832227Z _ TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel _ 2025-12-04T10:45:50.9832889Z Traceback (most recent call last): 2025-12-04T10:45:50.9833631Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:45:50.9834368Z method(*args, **kwargs) 2025-12-04T10:45:50.9834966Z File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 5058, in wrapped 2025-12-04T10:45:50.9835865Z stack.enter_context(ctx) 2025-12-04T10:45:50.9836402Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 492, in enter_context 2025-12-04T10:45:50.9836976Z result = _cm_type.__enter__(cm) 2025-12-04T10:45:50.9837515Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 133, in __enter__ 2025-12-04T10:45:50.9838090Z del self.args, self.kwds, self.func 2025-12-04T10:45:50.9838441Z AttributeError: args 2025-12-04T10:45:50.9838629Z 2025-12-04T10:45:50.9838845Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:50.9839709Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:50.9840349Z 2025-12-04T10:45:50.9840626Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:50.9841238Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:45:50.9844188Z /var/lib/jenkins/workspace/test/test_autograd.py:7724: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9847019Z b_grad = a.grad 2025-12-04T10:45:50.9849810Z /var/lib/jenkins/workspace/test/test_autograd.py:7731: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9852511Z c_grad = a.grad 2025-12-04T10:45:50.9853030Z _ TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel _ 2025-12-04T10:45:50.9853637Z Traceback (most recent call last): 2025-12-04T10:45:50.9854378Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:45:50.9855124Z method(*args, **kwargs) 2025-12-04T10:45:50.9855705Z File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 5058, in wrapped 2025-12-04T10:45:50.9856346Z stack.enter_context(ctx) 2025-12-04T10:45:50.9856864Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 492, in enter_context 2025-12-04T10:45:50.9857428Z result = _cm_type.__enter__(cm) 2025-12-04T10:45:50.9857931Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 133, in __enter__ 2025-12-04T10:45:50.9858484Z del self.args, self.kwds, self.func 2025-12-04T10:45:50.9858834Z AttributeError: args 2025-12-04T10:45:50.9859003Z 2025-12-04T10:45:50.9859211Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:50.9860102Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:50.9860738Z 2025-12-04T10:45:50.9860998Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:50.9861641Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:45:50.9864482Z /var/lib/jenkins/workspace/test/test_autograd.py:7724: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9867197Z b_grad = a.grad 2025-12-04T10:45:50.9869845Z /var/lib/jenkins/workspace/test/test_autograd.py:7731: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9872564Z c_grad = a.grad 2025-12-04T10:45:50.9873085Z _ TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel _ 2025-12-04T10:45:50.9873736Z Traceback (most recent call last): 2025-12-04T10:45:50.9874459Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:45:50.9875264Z method(*args, **kwargs) 2025-12-04T10:45:50.9876066Z File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 5058, in wrapped 2025-12-04T10:45:50.9876723Z stack.enter_context(ctx) 2025-12-04T10:45:50.9877264Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 492, in enter_context 2025-12-04T10:45:50.9877854Z result = _cm_type.__enter__(cm) 2025-12-04T10:45:50.9878395Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 133, in __enter__ 2025-12-04T10:45:50.9878959Z del self.args, self.kwds, self.func 2025-12-04T10:45:50.9879325Z AttributeError: args 2025-12-04T10:45:50.9879502Z 2025-12-04T10:45:50.9879728Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:50.9880579Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:50.9881240Z 2025-12-04T10:45:50.9881508Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:50.9882147Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:45:50.9885100Z /var/lib/jenkins/workspace/test/test_autograd.py:7724: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9888024Z b_grad = a.grad 2025-12-04T10:45:50.9890745Z /var/lib/jenkins/workspace/test/test_autograd.py:7731: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9893469Z c_grad = a.grad 2025-12-04T10:45:50.9893993Z _ TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel _ 2025-12-04T10:45:50.9894617Z Traceback (most recent call last): 2025-12-04T10:45:50.9895360Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:45:50.9896103Z method(*args, **kwargs) 2025-12-04T10:45:50.9896700Z File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 5058, in wrapped 2025-12-04T10:45:50.9897348Z stack.enter_context(ctx) 2025-12-04T10:45:50.9897864Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 492, in enter_context 2025-12-04T10:45:50.9898433Z result = _cm_type.__enter__(cm) 2025-12-04T10:45:50.9898952Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 133, in __enter__ 2025-12-04T10:45:50.9899508Z del self.args, self.kwds, self.func 2025-12-04T10:45:50.9899841Z AttributeError: args 2025-12-04T10:45:50.9900022Z 2025-12-04T10:45:50.9900439Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:50.9901277Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:50.9901897Z 2025-12-04T10:45:50.9902153Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:50.9902844Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:45:50.9905710Z /var/lib/jenkins/workspace/test/test_autograd.py:7724: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9908421Z b_grad = a.grad 2025-12-04T10:45:50.9911117Z /var/lib/jenkins/workspace/test/test_autograd.py:7731: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9913833Z c_grad = a.grad 2025-12-04T10:45:50.9914343Z _ TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel _ 2025-12-04T10:45:50.9914963Z Traceback (most recent call last): 2025-12-04T10:45:50.9915962Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:45:50.9916736Z method(*args, **kwargs) 2025-12-04T10:45:50.9917336Z File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 5058, in wrapped 2025-12-04T10:45:50.9918001Z stack.enter_context(ctx) 2025-12-04T10:45:50.9918536Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 492, in enter_context 2025-12-04T10:45:50.9919103Z result = _cm_type.__enter__(cm) 2025-12-04T10:45:50.9919637Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 133, in __enter__ 2025-12-04T10:45:50.9920304Z del self.args, self.kwds, self.func 2025-12-04T10:45:50.9920664Z AttributeError: args 2025-12-04T10:45:50.9920839Z 2025-12-04T10:45:50.9921054Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:50.9921957Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:50.9922596Z 2025-12-04T10:45:50.9922878Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:50.9923508Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:45:50.9926450Z /var/lib/jenkins/workspace/test/test_autograd.py:7724: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9929323Z b_grad = a.grad 2025-12-04T10:45:50.9931977Z /var/lib/jenkins/workspace/test/test_autograd.py:7731: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9934750Z c_grad = a.grad 2025-12-04T10:45:50.9935269Z _ TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel _ 2025-12-04T10:45:50.9935881Z Traceback (most recent call last): 2025-12-04T10:45:50.9936618Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:45:50.9937371Z method(*args, **kwargs) 2025-12-04T10:45:50.9937968Z File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 5058, in wrapped 2025-12-04T10:45:50.9938600Z stack.enter_context(ctx) 2025-12-04T10:45:50.9939116Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 492, in enter_context 2025-12-04T10:45:50.9939680Z result = _cm_type.__enter__(cm) 2025-12-04T10:45:50.9940187Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 133, in __enter__ 2025-12-04T10:45:50.9940741Z del self.args, self.kwds, self.func 2025-12-04T10:45:50.9941089Z AttributeError: args 2025-12-04T10:45:50.9941256Z 2025-12-04T10:45:50.9941476Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:50.9942300Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:50.9942933Z 2025-12-04T10:45:50.9943190Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:50.9943797Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:45:50.9946662Z /var/lib/jenkins/workspace/test/test_autograd.py:7724: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9949374Z b_grad = a.grad 2025-12-04T10:45:50.9952064Z /var/lib/jenkins/workspace/test/test_autograd.py:7731: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9954800Z c_grad = a.grad 2025-12-04T10:45:50.9955383Z _ TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel _ 2025-12-04T10:45:50.9956201Z Traceback (most recent call last): 2025-12-04T10:45:50.9956950Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:45:50.9957715Z method(*args, **kwargs) 2025-12-04T10:45:50.9958330Z File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 5058, in wrapped 2025-12-04T10:45:50.9958994Z stack.enter_context(ctx) 2025-12-04T10:45:50.9959516Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 492, in enter_context 2025-12-04T10:45:50.9960097Z result = _cm_type.__enter__(cm) 2025-12-04T10:45:50.9960634Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 133, in __enter__ 2025-12-04T10:45:50.9961190Z del self.args, self.kwds, self.func 2025-12-04T10:45:50.9961547Z AttributeError: args 2025-12-04T10:45:50.9961740Z 2025-12-04T10:45:50.9961955Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:50.9962851Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:50.9963489Z 2025-12-04T10:45:50.9963755Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:50.9964386Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:45:50.9967463Z /var/lib/jenkins/workspace/test/test_autograd.py:7724: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9970180Z b_grad = a.grad 2025-12-04T10:45:50.9972827Z /var/lib/jenkins/workspace/test/test_autograd.py:7731: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9975536Z c_grad = a.grad 2025-12-04T10:45:50.9976043Z _ TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel _ 2025-12-04T10:45:50.9976662Z Traceback (most recent call last): 2025-12-04T10:45:50.9977402Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:45:50.9978151Z method(*args, **kwargs) 2025-12-04T10:45:50.9978747Z File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 5058, in wrapped 2025-12-04T10:45:50.9979394Z stack.enter_context(ctx) 2025-12-04T10:45:50.9979975Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 492, in enter_context 2025-12-04T10:45:50.9980529Z result = _cm_type.__enter__(cm) 2025-12-04T10:45:50.9981052Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 133, in __enter__ 2025-12-04T10:45:50.9981638Z del self.args, self.kwds, self.func 2025-12-04T10:45:50.9981977Z AttributeError: args 2025-12-04T10:45:50.9982163Z 2025-12-04T10:45:50.9982373Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:50.9983213Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:50.9983834Z 2025-12-04T10:45:50.9984104Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:50.9984706Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:45:50.9987571Z /var/lib/jenkins/workspace/test/test_autograd.py:7724: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9990295Z b_grad = a.grad 2025-12-04T10:45:50.9992949Z /var/lib/jenkins/workspace/test/test_autograd.py:7731: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:50.9995953Z c_grad = a.grad 2025-12-04T10:45:50.9996497Z _ TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel _ 2025-12-04T10:45:50.9997124Z Traceback (most recent call last): 2025-12-04T10:45:50.9997887Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:45:50.9998660Z method(*args, **kwargs) 2025-12-04T10:45:50.9999261Z File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 5058, in wrapped 2025-12-04T10:45:50.9999930Z stack.enter_context(ctx) 2025-12-04T10:45:51.0000623Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 492, in enter_context 2025-12-04T10:45:51.0001202Z result = _cm_type.__enter__(cm) 2025-12-04T10:45:51.0001724Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 133, in __enter__ 2025-12-04T10:45:51.0002297Z del self.args, self.kwds, self.func 2025-12-04T10:45:51.0002655Z AttributeError: args 2025-12-04T10:45:51.0002828Z 2025-12-04T10:45:51.0003046Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0003903Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0004556Z 2025-12-04T10:45:51.0004822Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0005446Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:45:51.0008589Z /var/lib/jenkins/workspace/test/test_autograd.py:7724: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:51.0011346Z b_grad = a.grad 2025-12-04T10:45:51.0014001Z /var/lib/jenkins/workspace/test/test_autograd.py:7731: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:51.0016712Z c_grad = a.grad 2025-12-04T10:45:51.0017235Z _ TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel _ 2025-12-04T10:45:51.0017858Z Traceback (most recent call last): 2025-12-04T10:45:51.0018582Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:45:51.0019335Z method(*args, **kwargs) 2025-12-04T10:45:51.0019926Z File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 5058, in wrapped 2025-12-04T10:45:51.0020556Z stack.enter_context(ctx) 2025-12-04T10:45:51.0021070Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 492, in enter_context 2025-12-04T10:45:51.0021633Z result = _cm_type.__enter__(cm) 2025-12-04T10:45:51.0022150Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 133, in __enter__ 2025-12-04T10:45:51.0022736Z del self.args, self.kwds, self.func 2025-12-04T10:45:51.0023080Z AttributeError: args 2025-12-04T10:45:51.0023250Z 2025-12-04T10:45:51.0023469Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0024290Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0024923Z 2025-12-04T10:45:51.0025183Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0025797Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:45:51.0028660Z /var/lib/jenkins/workspace/test/test_autograd.py:7724: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:51.0031376Z b_grad = a.grad 2025-12-04T10:45:51.0034033Z /var/lib/jenkins/workspace/test/test_autograd.py:7731: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:51.0037049Z c_grad = a.grad 2025-12-04T10:45:51.0037591Z _ TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel _ 2025-12-04T10:45:51.0038238Z Traceback (most recent call last): 2025-12-04T10:45:51.0039005Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:45:51.0039763Z method(*args, **kwargs) 2025-12-04T10:45:51.0040443Z File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 5058, in wrapped 2025-12-04T10:45:51.0041158Z stack.enter_context(ctx) 2025-12-04T10:45:51.0041675Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 492, in enter_context 2025-12-04T10:45:51.0042263Z result = _cm_type.__enter__(cm) 2025-12-04T10:45:51.0042798Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 133, in __enter__ 2025-12-04T10:45:51.0043373Z del self.args, self.kwds, self.func 2025-12-04T10:45:51.0043720Z AttributeError: args 2025-12-04T10:45:51.0043909Z 2025-12-04T10:45:51.0044120Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0044977Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0045618Z 2025-12-04T10:45:51.0045895Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0046507Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:45:51.0049523Z /var/lib/jenkins/workspace/test/test_autograd.py:7724: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:51.0052263Z b_grad = a.grad 2025-12-04T10:45:51.0054920Z /var/lib/jenkins/workspace/test/test_autograd.py:7731: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:51.0057748Z c_grad = a.grad 2025-12-04T10:45:51.0058359Z _ TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel _ 2025-12-04T10:45:51.0058982Z Traceback (most recent call last): 2025-12-04T10:45:51.0059723Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:45:51.0060471Z method(*args, **kwargs) 2025-12-04T10:45:51.0061052Z File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 5058, in wrapped 2025-12-04T10:45:51.0061700Z stack.enter_context(ctx) 2025-12-04T10:45:51.0062222Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 492, in enter_context 2025-12-04T10:45:51.0062775Z result = _cm_type.__enter__(cm) 2025-12-04T10:45:51.0063299Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 133, in __enter__ 2025-12-04T10:45:51.0063853Z del self.args, self.kwds, self.func 2025-12-04T10:45:51.0064199Z AttributeError: args 2025-12-04T10:45:51.0064368Z 2025-12-04T10:45:51.0064577Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0065406Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0066029Z 2025-12-04T10:45:51.0066299Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0080955Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:45:51.0084100Z /var/lib/jenkins/workspace/test/test_autograd.py:7724: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:51.0086978Z b_grad = a.grad 2025-12-04T10:45:51.0089763Z /var/lib/jenkins/workspace/test/test_autograd.py:7731: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:51.0092487Z c_grad = a.grad 2025-12-04T10:45:51.0093022Z _ TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel _ 2025-12-04T10:45:51.0093652Z Traceback (most recent call last): 2025-12-04T10:45:51.0094402Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:45:51.0095137Z method(*args, **kwargs) 2025-12-04T10:45:51.0095737Z File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 5058, in wrapped 2025-12-04T10:45:51.0096370Z stack.enter_context(ctx) 2025-12-04T10:45:51.0096905Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 492, in enter_context 2025-12-04T10:45:51.0097453Z result = _cm_type.__enter__(cm) 2025-12-04T10:45:51.0097969Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 133, in __enter__ 2025-12-04T10:45:51.0098509Z del self.args, self.kwds, self.func 2025-12-04T10:45:51.0098857Z AttributeError: args 2025-12-04T10:45:51.0099043Z 2025-12-04T10:45:51.0099259Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0100096Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0100884Z 2025-12-04T10:45:51.0101143Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0101746Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:45:51.0104602Z /var/lib/jenkins/workspace/test/test_autograd.py:7724: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:51.0107315Z b_grad = a.grad 2025-12-04T10:45:51.0109951Z /var/lib/jenkins/workspace/test/test_autograd.py:7731: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:51.0112643Z c_grad = a.grad 2025-12-04T10:45:51.0113141Z _ TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel _ 2025-12-04T10:45:51.0113858Z Traceback (most recent call last): 2025-12-04T10:45:51.0114588Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:45:51.0115429Z method(*args, **kwargs) 2025-12-04T10:45:51.0116196Z File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 5058, in wrapped 2025-12-04T10:45:51.0116841Z stack.enter_context(ctx) 2025-12-04T10:45:51.0117356Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 492, in enter_context 2025-12-04T10:45:51.0117914Z result = _cm_type.__enter__(cm) 2025-12-04T10:45:51.0118438Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 133, in __enter__ 2025-12-04T10:45:51.0119015Z del self.args, self.kwds, self.func 2025-12-04T10:45:51.0119358Z AttributeError: args 2025-12-04T10:45:51.0119550Z 2025-12-04T10:45:51.0119767Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0120632Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0121276Z 2025-12-04T10:45:51.0121560Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0122178Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:45:51.0125133Z /var/lib/jenkins/workspace/test/test_autograd.py:7724: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:51.0128108Z b_grad = a.grad 2025-12-04T10:45:51.0130769Z /var/lib/jenkins/workspace/test/test_autograd.py:7731: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:51.0133482Z c_grad = a.grad 2025-12-04T10:45:51.0134010Z _ TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel _ 2025-12-04T10:45:51.0134626Z Traceback (most recent call last): 2025-12-04T10:45:51.0135368Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:45:51.0136119Z method(*args, **kwargs) 2025-12-04T10:45:51.0136715Z File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 5058, in wrapped 2025-12-04T10:45:51.0137353Z stack.enter_context(ctx) 2025-12-04T10:45:51.0137875Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 492, in enter_context 2025-12-04T10:45:51.0138441Z result = _cm_type.__enter__(cm) 2025-12-04T10:45:51.0138948Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 133, in __enter__ 2025-12-04T10:45:51.0139505Z del self.args, self.kwds, self.func 2025-12-04T10:45:51.0139856Z AttributeError: args 2025-12-04T10:45:51.0140030Z 2025-12-04T10:45:51.0140239Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0141081Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0141713Z 2025-12-04T10:45:51.0141974Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0142662Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:45:51.0145553Z /var/lib/jenkins/workspace/test/test_autograd.py:7724: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:51.0148268Z b_grad = a.grad 2025-12-04T10:45:51.0150921Z /var/lib/jenkins/workspace/test/test_autograd.py:7731: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:51.0153626Z c_grad = a.grad 2025-12-04T10:45:51.0154142Z _ TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel _ 2025-12-04T10:45:51.0154757Z Traceback (most recent call last): 2025-12-04T10:45:51.0155726Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:45:51.0156536Z method(*args, **kwargs) 2025-12-04T10:45:51.0157151Z File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 5058, in wrapped 2025-12-04T10:45:51.0157874Z stack.enter_context(ctx) 2025-12-04T10:45:51.0158434Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 492, in enter_context 2025-12-04T10:45:51.0159016Z result = _cm_type.__enter__(cm) 2025-12-04T10:45:51.0159557Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 133, in __enter__ 2025-12-04T10:45:51.0160114Z del self.args, self.kwds, self.func 2025-12-04T10:45:51.0160472Z AttributeError: args 2025-12-04T10:45:51.0160646Z 2025-12-04T10:45:51.0160875Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0161737Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0162377Z 2025-12-04T10:45:51.0162647Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0163280Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:45:51.0166238Z /var/lib/jenkins/workspace/test/test_autograd.py:7724: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:51.0169117Z b_grad = a.grad 2025-12-04T10:45:51.0171843Z /var/lib/jenkins/workspace/test/test_autograd.py:7731: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:51.0174652Z c_grad = a.grad 2025-12-04T10:45:51.0175211Z _ TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel _ 2025-12-04T10:45:51.0175838Z Traceback (most recent call last): 2025-12-04T10:45:51.0176579Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:45:51.0177312Z method(*args, **kwargs) 2025-12-04T10:45:51.0177906Z File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 5058, in wrapped 2025-12-04T10:45:51.0178554Z stack.enter_context(ctx) 2025-12-04T10:45:51.0179072Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 492, in enter_context 2025-12-04T10:45:51.0179623Z result = _cm_type.__enter__(cm) 2025-12-04T10:45:51.0180141Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 133, in __enter__ 2025-12-04T10:45:51.0180700Z del self.args, self.kwds, self.func 2025-12-04T10:45:51.0181035Z AttributeError: args 2025-12-04T10:45:51.0181219Z 2025-12-04T10:45:51.0181428Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0182262Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0182883Z 2025-12-04T10:45:51.0183157Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0183753Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:45:51.0186618Z /var/lib/jenkins/workspace/test/test_autograd.py:7724: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:51.0189377Z b_grad = a.grad 2025-12-04T10:45:51.0192026Z /var/lib/jenkins/workspace/test/test_autograd.py:7731: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:51.0194731Z c_grad = a.grad 2025-12-04T10:45:51.0195321Z _ TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel _ 2025-12-04T10:45:51.0196128Z Traceback (most recent call last): 2025-12-04T10:45:51.0196888Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:45:51.0197659Z method(*args, **kwargs) 2025-12-04T10:45:51.0198258Z File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 5058, in wrapped 2025-12-04T10:45:51.0198923Z stack.enter_context(ctx) 2025-12-04T10:45:51.0199455Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 492, in enter_context 2025-12-04T10:45:51.0200041Z result = _cm_type.__enter__(cm) 2025-12-04T10:45:51.0200714Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 133, in __enter__ 2025-12-04T10:45:51.0201290Z del self.args, self.kwds, self.func 2025-12-04T10:45:51.0201655Z AttributeError: args 2025-12-04T10:45:51.0201830Z 2025-12-04T10:45:51.0202049Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0203030Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0203716Z 2025-12-04T10:45:51.0204003Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0204634Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:45:51.0207702Z /var/lib/jenkins/workspace/test/test_autograd.py:7724: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:51.0210430Z b_grad = a.grad 2025-12-04T10:45:51.0213080Z /var/lib/jenkins/workspace/test/test_autograd.py:7731: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:51.0215794Z c_grad = a.grad 2025-12-04T10:45:51.0216358Z _ TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel _ 2025-12-04T10:45:51.0216980Z Traceback (most recent call last): 2025-12-04T10:45:51.0217707Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:45:51.0218458Z method(*args, **kwargs) 2025-12-04T10:45:51.0219055Z File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 5058, in wrapped 2025-12-04T10:45:51.0219695Z stack.enter_context(ctx) 2025-12-04T10:45:51.0220211Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 492, in enter_context 2025-12-04T10:45:51.0220778Z result = _cm_type.__enter__(cm) 2025-12-04T10:45:51.0221298Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 133, in __enter__ 2025-12-04T10:45:51.0221843Z del self.args, self.kwds, self.func 2025-12-04T10:45:51.0222192Z AttributeError: args 2025-12-04T10:45:51.0222361Z 2025-12-04T10:45:51.0222586Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0223401Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0224032Z 2025-12-04T10:45:51.0224298Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0224909Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:45:51.0227775Z /var/lib/jenkins/workspace/test/test_autograd.py:7724: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:51.0230480Z b_grad = a.grad 2025-12-04T10:45:51.0233179Z /var/lib/jenkins/workspace/test/test_autograd.py:7731: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:51.0236182Z c_grad = a.grad 2025-12-04T10:45:51.0236730Z _ TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel _ 2025-12-04T10:45:51.0237378Z Traceback (most recent call last): 2025-12-04T10:45:51.0238142Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:45:51.0238902Z method(*args, **kwargs) 2025-12-04T10:45:51.0239521Z File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 5058, in wrapped 2025-12-04T10:45:51.0240191Z stack.enter_context(ctx) 2025-12-04T10:45:51.0240715Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 492, in enter_context 2025-12-04T10:45:51.0241299Z result = _cm_type.__enter__(cm) 2025-12-04T10:45:51.0241839Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 133, in __enter__ 2025-12-04T10:45:51.0242415Z del self.args, self.kwds, self.func 2025-12-04T10:45:51.0242765Z AttributeError: args 2025-12-04T10:45:51.0242952Z 2025-12-04T10:45:51.0243167Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0244022Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0244664Z 2025-12-04T10:45:51.0244993Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0245616Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:45:51.0248665Z /var/lib/jenkins/workspace/test/test_autograd.py:7724: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:51.0251382Z b_grad = a.grad 2025-12-04T10:45:51.0254036Z /var/lib/jenkins/workspace/test/test_autograd.py:7731: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:51.0256751Z c_grad = a.grad 2025-12-04T10:45:51.0257257Z _ TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel _ 2025-12-04T10:45:51.0257878Z Traceback (most recent call last): 2025-12-04T10:45:51.0258614Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:45:51.0259355Z method(*args, **kwargs) 2025-12-04T10:45:51.0259936Z File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 5058, in wrapped 2025-12-04T10:45:51.0260588Z stack.enter_context(ctx) 2025-12-04T10:45:51.0261104Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 492, in enter_context 2025-12-04T10:45:51.0261657Z result = _cm_type.__enter__(cm) 2025-12-04T10:45:51.0262243Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 133, in __enter__ 2025-12-04T10:45:51.0262798Z del self.args, self.kwds, self.func 2025-12-04T10:45:51.0263132Z AttributeError: args 2025-12-04T10:45:51.0263344Z 2025-12-04T10:45:51.0263554Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0264385Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0265005Z 2025-12-04T10:45:51.0265278Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0265874Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:45:51.0268746Z /var/lib/jenkins/workspace/test/test_autograd.py:7724: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:51.0271469Z b_grad = a.grad 2025-12-04T10:45:51.0274234Z /var/lib/jenkins/workspace/test/test_autograd.py:7731: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:51.0277299Z c_grad = a.grad 2025-12-04T10:45:51.0277845Z _ TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel _ 2025-12-04T10:45:51.0278477Z Traceback (most recent call last): 2025-12-04T10:45:51.0279245Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:45:51.0280024Z method(*args, **kwargs) 2025-12-04T10:45:51.0280638Z File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 5058, in wrapped 2025-12-04T10:45:51.0281288Z stack.enter_context(ctx) 2025-12-04T10:45:51.0281822Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 492, in enter_context 2025-12-04T10:45:51.0282404Z result = _cm_type.__enter__(cm) 2025-12-04T10:45:51.0282933Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 133, in __enter__ 2025-12-04T10:45:51.0283503Z del self.args, self.kwds, self.func 2025-12-04T10:45:51.0283863Z AttributeError: args 2025-12-04T10:45:51.0284037Z 2025-12-04T10:45:51.0284269Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0285114Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0285767Z 2025-12-04T10:45:51.0286035Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0286668Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:45:51.0289674Z /var/lib/jenkins/workspace/test/test_autograd.py:7724: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:51.0292457Z b_grad = a.grad 2025-12-04T10:45:51.0295100Z /var/lib/jenkins/workspace/test/test_autograd.py:7731: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:492.) 2025-12-04T10:45:51.0297839Z c_grad = a.grad 2025-12-04T10:45:51.0298786Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compiled_autograd/inductor.test_compiled_autograd-f2685cc3149cfc71.xml - 2025-12-04T10:45:51.0299874Z =========================== short test summary info ============================ 2025-12-04T10:45:51.0301082Z FAILED [0.0283s] inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel - AttributeError: args 2025-12-04T10:45:51.0301918Z 2025-12-04T10:45:51.0302128Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0302959Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0303579Z 2025-12-04T10:45:51.0303852Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0304948Z FAILED [0.0012s] inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel - AttributeError: args 2025-12-04T10:45:51.0305851Z 2025-12-04T10:45:51.0306059Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0306888Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0307510Z 2025-12-04T10:45:51.0307785Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0308887Z FAILED [0.0011s] inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel - AttributeError: args 2025-12-04T10:45:51.0309718Z 2025-12-04T10:45:51.0309928Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0310757Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0311382Z 2025-12-04T10:45:51.0311639Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0312735Z FAILED [0.0013s] inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel - AttributeError: args 2025-12-04T10:45:51.0313563Z 2025-12-04T10:45:51.0313775Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0314599Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0315287Z 2025-12-04T10:45:51.0315724Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0316853Z FAILED [0.0010s] inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel - AttributeError: args 2025-12-04T10:45:51.0317709Z 2025-12-04T10:45:51.0317920Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0318769Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0319420Z 2025-12-04T10:45:51.0319687Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0320918Z FAILED [0.0010s] inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel - AttributeError: args 2025-12-04T10:45:51.0321776Z 2025-12-04T10:45:51.0321996Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0322896Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0323551Z 2025-12-04T10:45:51.0323818Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0324956Z FAILED [0.0010s] inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel - AttributeError: args 2025-12-04T10:45:51.0325811Z 2025-12-04T10:45:51.0326042Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0326545Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0326550Z 2025-12-04T10:45:51.0326819Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0327679Z FAILED [0.0009s] inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel - AttributeError: args 2025-12-04T10:45:51.0327686Z 2025-12-04T10:45:51.0327893Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0328391Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0328395Z 2025-12-04T10:45:51.0328647Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0329343Z FAILED [0.0010s] inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel - AttributeError: args 2025-12-04T10:45:51.0329396Z 2025-12-04T10:45:51.0329605Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0330093Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0330098Z 2025-12-04T10:45:51.0330361Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0331063Z FAILED [0.0010s] inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel - AttributeError: args 2025-12-04T10:45:51.0331067Z 2025-12-04T10:45:51.0331281Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0331765Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0331770Z 2025-12-04T10:45:51.0332022Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0332734Z FAILED [0.0010s] inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel - AttributeError: args 2025-12-04T10:45:51.0332738Z 2025-12-04T10:45:51.0332946Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0333442Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0333449Z 2025-12-04T10:45:51.0333700Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0334399Z FAILED [0.0009s] inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel - AttributeError: args 2025-12-04T10:45:51.0334417Z 2025-12-04T10:45:51.0334620Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0335104Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0335111Z 2025-12-04T10:45:51.0335374Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0336134Z FAILED [0.0010s] inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel - AttributeError: args 2025-12-04T10:45:51.0336139Z 2025-12-04T10:45:51.0336401Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0336884Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0336888Z 2025-12-04T10:45:51.0337139Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0337848Z FAILED [0.0009s] inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel - AttributeError: args 2025-12-04T10:45:51.0337855Z 2025-12-04T10:45:51.0338060Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0338559Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0338563Z 2025-12-04T10:45:51.0338823Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0339520Z FAILED [0.0009s] inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel - AttributeError: args 2025-12-04T10:45:51.0339527Z 2025-12-04T10:45:51.0339747Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0340234Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0340239Z 2025-12-04T10:45:51.0340506Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0341208Z FAILED [0.0012s] inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel - AttributeError: args 2025-12-04T10:45:51.0341245Z 2025-12-04T10:45:51.0341451Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0341955Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0341961Z 2025-12-04T10:45:51.0342215Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0342924Z FAILED [0.0010s] inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel - AttributeError: args 2025-12-04T10:45:51.0342929Z 2025-12-04T10:45:51.0343133Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0343630Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0343637Z 2025-12-04T10:45:51.0343889Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0344586Z FAILED [0.0010s] inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel - AttributeError: args 2025-12-04T10:45:51.0344592Z 2025-12-04T10:45:51.0344813Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0345298Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0345305Z 2025-12-04T10:45:51.0345572Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0346269Z FAILED [0.0009s] inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel - AttributeError: args 2025-12-04T10:45:51.0346274Z 2025-12-04T10:45:51.0346477Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0346976Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0346981Z 2025-12-04T10:45:51.0347233Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0348001Z FAILED [0.0009s] inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel - AttributeError: args 2025-12-04T10:45:51.0348032Z 2025-12-04T10:45:51.0348239Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0348725Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0348742Z 2025-12-04T10:45:51.0348995Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0349691Z FAILED [0.0009s] inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel - AttributeError: args 2025-12-04T10:45:51.0349699Z 2025-12-04T10:45:51.0349915Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0350396Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0350401Z 2025-12-04T10:45:51.0350674Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0351370Z FAILED [0.0019s] inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel - AttributeError: args 2025-12-04T10:45:51.0351377Z 2025-12-04T10:45:51.0351580Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0352078Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0352083Z 2025-12-04T10:45:51.0352334Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0353078Z FAILED [0.0009s] inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel - AttributeError: args 2025-12-04T10:45:51.0353083Z 2025-12-04T10:45:51.0353287Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0353775Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0353782Z 2025-12-04T10:45:51.0354046Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0354743Z FAILED [0.0009s] inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel - AttributeError: args 2025-12-04T10:45:51.0354747Z 2025-12-04T10:45:51.0354963Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0355514Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0355522Z 2025-12-04T10:45:51.0355973Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0356700Z FAILED [0.0009s] inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel - AttributeError: args 2025-12-04T10:45:51.0356705Z 2025-12-04T10:45:51.0356914Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0357428Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0357433Z 2025-12-04T10:45:51.0357693Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0358427Z FAILED [0.0010s] inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel - AttributeError: args 2025-12-04T10:45:51.0358431Z 2025-12-04T10:45:51.0358641Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0359144Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0359149Z 2025-12-04T10:45:51.0359422Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0360205Z FAILED [0.0009s] inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel - AttributeError: args 2025-12-04T10:45:51.0360238Z 2025-12-04T10:45:51.0360460Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0360962Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0360966Z 2025-12-04T10:45:51.0361228Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0361968Z FAILED [0.2559s] inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel - AttributeError: args 2025-12-04T10:45:51.0361975Z 2025-12-04T10:45:51.0362187Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0362702Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0362707Z 2025-12-04T10:45:51.0362969Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0363701Z FAILED [0.0011s] inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel - AttributeError: args 2025-12-04T10:45:51.0363706Z 2025-12-04T10:45:51.0363916Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0364414Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0364418Z 2025-12-04T10:45:51.0364690Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0365441Z FAILED [0.0010s] inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel - AttributeError: args 2025-12-04T10:45:51.0365446Z 2025-12-04T10:45:51.0365675Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0366174Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0366181Z 2025-12-04T10:45:51.0366439Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0367173Z FAILED [0.0010s] inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel - AttributeError: args 2025-12-04T10:45:51.0367178Z 2025-12-04T10:45:51.0367515Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0368010Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0368018Z 2025-12-04T10:45:51.0368270Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0368972Z FAILED [0.0010s] inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel - AttributeError: args 2025-12-04T10:45:51.0368989Z 2025-12-04T10:45:51.0369193Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0369680Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0369685Z 2025-12-04T10:45:51.0369948Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0370645Z FAILED [0.0009s] inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel - AttributeError: args 2025-12-04T10:45:51.0370649Z 2025-12-04T10:45:51.0370866Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0371349Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0371354Z 2025-12-04T10:45:51.0371661Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0372374Z FAILED [0.0009s] inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel - AttributeError: args 2025-12-04T10:45:51.0372406Z 2025-12-04T10:45:51.0372610Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0373107Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0373112Z 2025-12-04T10:45:51.0373364Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0374061Z FAILED [0.0009s] inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel - AttributeError: args 2025-12-04T10:45:51.0374082Z 2025-12-04T10:45:51.0374287Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0374782Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0374786Z 2025-12-04T10:45:51.0375052Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0375754Z FAILED [0.0009s] inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel - AttributeError: args 2025-12-04T10:45:51.0375759Z 2025-12-04T10:45:51.0375976Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0376464Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0376468Z 2025-12-04T10:45:51.0376750Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0377463Z FAILED [0.0009s] inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel - AttributeError: args 2025-12-04T10:45:51.0377467Z 2025-12-04T10:45:51.0377677Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0378176Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0378182Z 2025-12-04T10:45:51.0378434Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0379130Z FAILED [0.0012s] inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel - AttributeError: args 2025-12-04T10:45:51.0379135Z 2025-12-04T10:45:51.0379352Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0379833Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0379840Z 2025-12-04T10:45:51.0380106Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0380934Z FAILED [0.0010s] inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel - AttributeError: args 2025-12-04T10:45:51.0380940Z 2025-12-04T10:45:51.0381147Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0381645Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0381649Z 2025-12-04T10:45:51.0381902Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0382618Z FAILED [0.0009s] inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel - AttributeError: args 2025-12-04T10:45:51.0382625Z 2025-12-04T10:45:51.0382830Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0383328Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0383333Z 2025-12-04T10:45:51.0383664Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0384364Z FAILED [0.0009s] inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel - AttributeError: args 2025-12-04T10:45:51.0384403Z 2025-12-04T10:45:51.0384623Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0385112Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0385116Z 2025-12-04T10:45:51.0385384Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0386083Z FAILED [0.0009s] inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel - AttributeError: args 2025-12-04T10:45:51.0386090Z 2025-12-04T10:45:51.0386296Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0386800Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0386804Z 2025-12-04T10:45:51.0387058Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0387771Z FAILED [0.0009s] inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel - AttributeError: args 2025-12-04T10:45:51.0387776Z 2025-12-04T10:45:51.0387979Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0388461Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0388511Z 2025-12-04T10:45:51.0388765Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0389516Z FAILED [0.0012s] inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel - AttributeError: args 2025-12-04T10:45:51.0389529Z 2025-12-04T10:45:51.0389860Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0390349Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0390357Z 2025-12-04T10:45:51.0390623Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0391322Z FAILED [0.0010s] inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel - AttributeError: args 2025-12-04T10:45:51.0391327Z 2025-12-04T10:45:51.0391530Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0392026Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0392031Z 2025-12-04T10:45:51.0392284Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0392998Z FAILED [0.0009s] inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel - AttributeError: args 2025-12-04T10:45:51.0393004Z 2025-12-04T10:45:51.0393208Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0393693Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0393709Z 2025-12-04T10:45:51.0393964Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0394663Z FAILED [0.0009s] inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel - AttributeError: args 2025-12-04T10:45:51.0394669Z 2025-12-04T10:45:51.0394886Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0395437Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0395442Z 2025-12-04T10:45:51.0395965Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0396691Z FAILED [0.0009s] inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel - AttributeError: args 2025-12-04T10:45:51.0396726Z 2025-12-04T10:45:51.0396940Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0397454Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0397459Z 2025-12-04T10:45:51.0397720Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0398454Z FAILED [0.0009s] inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_checkpointing_without_reentrant_dataparallel - AttributeError: args 2025-12-04T10:45:51.0398458Z 2025-12-04T10:45:51.0398667Z To execute this test, run the following from the base repo dir: 2025-12-04T10:45:51.0399172Z python test/test_autograd.py TestAutogradWithCompiledAutograd.test_checkpointing_without_reentrant_dataparallel 2025-12-04T10:45:51.0399179Z 2025-12-04T10:45:51.0399449Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:45:51.0399625Z ========================= 49 failed, 1 passed in 9.37s ========================= 2025-12-04T10:45:51.0399630Z 2025-12-04T10:45:51.0400394Z FINISHED PRINTING LOG FILE of inductor/test_compiled_autograd 1/1 (test/test-reports/inductor.test_compiled_autograd_1.1_e0326bc3df23477c_.log) 2025-12-04T10:45:51.0400400Z 2025-12-04T10:45:51.0400785Z Finished inductor/test_compiled_autograd 1/1 ... [2025-12-04 10:45:50.909970][5551.45994377], took 0.44min 2025-12-04T10:45:51.0401768Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compiled_autograd/inductor.test_compiled_autograd-f2685cc3149cfc71.xml 2025-12-04T10:45:51.4982980Z Uploading logs for 57119749258 to S3 2025-12-04T10:45:51.5449118Z Uploading artifacts took 0.52 seconds 2025-12-04T10:45:51.5449520Z inductor/test_compiled_autograd 1/1 failed! 2025-12-04T10:45:57.9612630Z Running dynamo/test_einops 1/1 ... [2025-12-04 10:45:57.960882][5558.510856446] 2025-12-04T10:45:57.9613164Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:45:57.9616350Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_einops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:45:57.961336] 2025-12-04T10:46:01.1908347Z 2025-12-04T10:46:01.1909627Z inductor/test_b2b_gemm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_b2b_gemm_1.1_b357267dc6998e69_.log 2025-12-04T10:46:01.1910977Z Running 0 items in this shard: 2025-12-04T10:46:01.1911303Z 2025-12-04T10:46:01.1911836Z Finished inductor/test_b2b_gemm 1/1 ... [2025-12-04 10:46:01.190746][5561.740720143], took 0.20min 2025-12-04T10:46:01.2109636Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_b2b_gemm/inductor.test_b2b_gemm-b427e6a29c7e5cd2.xml 2025-12-04T10:46:04.7471393Z 2025-12-04T10:46:04.7472456Z dynamo/test_einops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_einops_1.1_faa67d645c9caf08_.log 2025-12-04T10:46:04.7473336Z Running 0 items in this shard: 2025-12-04T10:46:04.7473562Z 2025-12-04T10:46:04.7473865Z Finished dynamo/test_einops 1/1 ... [2025-12-04 10:46:04.747056][5565.297031966], took 0.11min 2025-12-04T10:46:04.7789497Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_einops/dynamo.test_einops-72bc844f6f4c1414.xml 2025-12-04T10:46:08.2191137Z Running inductor/test_external_callables 1/1 ... [2025-12-04 10:46:08.218692][5568.76866588] 2025-12-04T10:46:08.2192053Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:46:08.2194513Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_external_callables.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:46:08.219152] 2025-12-04T10:46:11.7810639Z Running test_testing 1/1 ... [2025-12-04 10:46:11.780675][5572.330649391] 2025-12-04T10:46:11.7811184Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:46:11.7814455Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_testing.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:46:11.781165] 2025-12-04T10:46:15.1252918Z 2025-12-04T10:46:15.1254052Z inductor/test_external_callables 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_external_callables_1.1_dafb66f365a4d2d5_.log 2025-12-04T10:46:15.1255088Z Running 0 items in this shard: 2025-12-04T10:46:15.1255300Z 2025-12-04T10:46:15.1255695Z Finished inductor/test_external_callables 1/1 ... [2025-12-04 10:46:15.125225][5575.675200432], took 0.12min 2025-12-04T10:46:15.1455346Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_external_callables/inductor.test_external_callables-f814eb568007909d.xml 2025-12-04T10:46:22.1604960Z Running dynamo/test_fx_passes_pre_grad 1/1 ... [2025-12-04 10:46:22.160107][5582.710081212] 2025-12-04T10:46:22.1605907Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:46:22.1609429Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_fx_passes_pre_grad.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:46:22.160614] 2025-12-04T10:46:25.0479458Z 2025-12-04T10:46:25.0480743Z test_testing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_testing_1.1_8be4e1789540f9bc_.log 2025-12-04T10:46:25.0521454Z Running 100 items in this shard: test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestTestingCUDA::test_cuda_assert_should_not_stop_common_distributed_test_suite_cuda, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_circular_dependencies 2025-12-04T10:46:25.0561148Z 2025-12-04T10:46:25.0561534Z Finished test_testing 1/1 ... [2025-12-04 10:46:25.048060][5585.598034277], took 0.22min 2025-12-04T10:46:25.0685640Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_testing/test_testing-acaaa39ff3a3bf1f.xml 2025-12-04T10:46:28.9366185Z 2025-12-04T10:46:28.9367854Z dynamo/test_fx_passes_pre_grad 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_fx_passes_pre_grad_1.1_19f941ad6b607603_.log 2025-12-04T10:46:28.9369216Z Running 0 items in this shard: 2025-12-04T10:46:28.9369506Z 2025-12-04T10:46:28.9369997Z Finished dynamo/test_fx_passes_pre_grad 1/1 ... [2025-12-04 10:46:28.936527][5589.486500751], took 0.11min 2025-12-04T10:46:28.9572318Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_fx_passes_pre_grad/dynamo.test_fx_passes_pre_grad-d8da376727fdb9e9.xml 2025-12-04T10:46:32.0973321Z Running export/test_strict_export_v2 1/1 ... [2025-12-04 10:46:32.096959][5592.64693298] 2025-12-04T10:46:32.0973932Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:46:32.0978018Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_strict_export_v2.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:46:32.097464] 2025-12-04T10:46:36.2435272Z Running inductor/test_flex_flash 1/1 ... [2025-12-04 10:46:36.243122][5596.793095548] 2025-12-04T10:46:36.2436058Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:46:36.2439093Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_flash.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:46:36.243613] 2025-12-04T10:46:44.2462689Z 2025-12-04T10:46:44.2463795Z inductor/test_flex_flash 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_flash_1.1_6bb286c8340bc5a2_.log 2025-12-04T10:46:44.2464792Z Running 0 items in this shard: 2025-12-04T10:46:44.2465005Z 2025-12-04T10:46:44.2465350Z Finished inductor/test_flex_flash 1/1 ... [2025-12-04 10:46:44.246194][5604.796167504], took 0.13min 2025-12-04T10:46:44.2672479Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_strict_export_v2/export.test_strict_export_v2-265a9e0fd31b2b95.xml 2025-12-04T10:46:44.3406954Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_flash/inductor.test_flex_flash-d1e6da7abf8cc5b9.xml 2025-12-04T10:46:44.9865312Z 2025-12-04T10:46:44.9866385Z export/test_strict_export_v2 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_strict_export_v2_1.1_0539a3dedf1d2420_.log 2025-12-04T10:46:44.9867605Z Running 0 items in this shard: 2025-12-04T10:46:44.9867818Z 2025-12-04T10:46:44.9868196Z Finished export/test_strict_export_v2 1/1 ... [2025-12-04 10:46:44.986531][5605.536504272], took 0.21min 2025-12-04T10:46:51.2824194Z Running inductor/test_segmented_tree 1/1 ... [2025-12-04 10:46:51.282023][5611.831998041] 2025-12-04T10:46:51.2824836Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:46:51.2827734Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_segmented_tree.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:46:51.282501] 2025-12-04T10:46:52.0924821Z Running inductor/test_kernel_optimization 1/1 ... [2025-12-04 10:46:52.092098][5612.642072737] 2025-12-04T10:46:52.0925504Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:46:52.0928601Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_kernel_optimization.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:46:52.092569] 2025-12-04T10:46:57.9107898Z 2025-12-04T10:46:57.9109025Z inductor/test_segmented_tree 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_segmented_tree_1.1_bdd7a54b73c879e4_.log 2025-12-04T10:46:57.9109999Z Running 0 items in this shard: 2025-12-04T10:46:57.9110207Z 2025-12-04T10:46:57.9110574Z Finished inductor/test_segmented_tree 1/1 ... [2025-12-04 10:46:57.910722][5618.46069658], took 0.11min 2025-12-04T10:46:57.9321578Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_segmented_tree/inductor.test_segmented_tree-1f6bf84885053580.xml 2025-12-04T10:47:03.7235341Z 2025-12-04T10:47:03.7236837Z inductor/test_kernel_optimization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_kernel_optimization_1.1_477d43b992b0747d_.log 2025-12-04T10:47:03.7238311Z Running 0 items in this shard: 2025-12-04T10:47:03.7238541Z 2025-12-04T10:47:03.7238941Z Finished inductor/test_kernel_optimization 1/1 ... [2025-12-04 10:47:03.723598][5624.273569423], took 0.19min 2025-12-04T10:47:03.7452272Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_kernel_optimization/inductor.test_kernel_optimization-5181e9c23b123ff9.xml 2025-12-04T10:47:05.0554438Z Running inductor/test_metrics 1/1 ... [2025-12-04 10:47:05.055060][5625.605034826] 2025-12-04T10:47:05.0555013Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:47:05.0558671Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_metrics.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:47:05.055537] 2025-12-04T10:47:11.1280742Z Running export/test_unflatten_training_ir 1/1 ... [2025-12-04 10:47:11.127663][5631.677637274] 2025-12-04T10:47:11.1283450Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:47:11.1285102Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_unflatten_training_ir.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:47:11.128160] 2025-12-04T10:47:16.9619285Z 2025-12-04T10:47:16.9620330Z inductor/test_metrics 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_metrics_1.1_eba70c93c66f9d54_.log 2025-12-04T10:47:16.9621507Z Running 0 items in this shard: 2025-12-04T10:47:16.9621719Z 2025-12-04T10:47:16.9622054Z Finished inductor/test_metrics 1/1 ... [2025-12-04 10:47:16.961846][5637.511820925], took 0.20min 2025-12-04T10:47:16.9970349Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_metrics/inductor.test_metrics-afd63af51aca2206.xml 2025-12-04T10:47:17.0856473Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_unflatten_training_ir/export.test_unflatten_training_ir-a2e61d0d8a03ca12.xml 2025-12-04T10:47:17.7605159Z 2025-12-04T10:47:17.7606249Z export/test_unflatten_training_ir 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_unflatten_training_ir_1.1_b16fc909064443cf_.log 2025-12-04T10:47:17.7607529Z Running 0 items in this shard: 2025-12-04T10:47:17.7607740Z 2025-12-04T10:47:17.7608137Z Finished export/test_unflatten_training_ir 1/1 ... [2025-12-04 10:47:17.760500][5638.310472864], took 0.11min 2025-12-04T10:47:24.1041666Z Running inductor/test_fx_fusion 1/1 ... [2025-12-04 10:47:24.103770][5644.653744191] 2025-12-04T10:47:24.1042270Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:47:24.1045525Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_fx_fusion.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:47:24.104238] 2025-12-04T10:47:24.7410225Z Running dynamo/test_inline_and_install 1/1 ... [2025-12-04 10:47:24.740620][5645.290594622] 2025-12-04T10:47:24.7410833Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:47:24.7414024Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_inline_and_install.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:47:24.741121] 2025-12-04T10:47:31.7298827Z 2025-12-04T10:47:31.7300441Z 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_df48c1223077dd23_.log 2025-12-04T10:47:31.7301399Z Running 0 items in this shard: 2025-12-04T10:47:31.7301690Z 2025-12-04T10:47:31.7302015Z Finished inductor/test_fx_fusion 1/1 ... [2025-12-04 10:47:31.729826][5652.279798784], took 0.13min 2025-12-04T10:47:31.7521480Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_fx_fusion/inductor.test_fx_fusion-b31969ceeeb0e834.xml 2025-12-04T10:47:31.8302579Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_inline_and_install/dynamo.test_inline_and_install-800aa2b0eb401448.xml 2025-12-04T10:47:32.3606649Z 2025-12-04T10:47:32.3607958Z 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_c84a45f5ef026934_.log 2025-12-04T10:47:32.3608944Z Running 0 items in this shard: 2025-12-04T10:47:32.3609152Z 2025-12-04T10:47:32.3609554Z Finished dynamo/test_inline_and_install 1/1 ... [2025-12-04 10:47:32.360615][5652.910590373], took 0.13min 2025-12-04T10:47:39.0143115Z Running export/test_functionalized_assertions 1/1 ... [2025-12-04 10:47:39.013918][5659.563892947] 2025-12-04T10:47:39.0143775Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:47:39.0146682Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_functionalized_assertions.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:47:39.014373] 2025-12-04T10:47:39.5233164Z Running inductor/test_selective_lowering 1/1 ... [2025-12-04 10:47:39.522771][5660.072739565] 2025-12-04T10:47:39.5234565Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:47:39.5246315Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_selective_lowering.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:47:39.524030] 2025-12-04T10:47:45.6706764Z 2025-12-04T10:47:45.6707916Z export/test_functionalized_assertions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_functionalized_assertions_1.1_5a4c1ed0e1cc7168_.log 2025-12-04T10:47:45.6708999Z Running 0 items in this shard: 2025-12-04T10:47:45.6709225Z 2025-12-04T10:47:45.6709638Z Finished export/test_functionalized_assertions 1/1 ... [2025-12-04 10:47:45.670655][5666.22062722], took 0.11min 2025-12-04T10:47:45.6938430Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_functionalized_assertions/export.test_functionalized_assertions-0e9744bdd6f6b6a8.xml 2025-12-04T10:47:51.2657352Z 2025-12-04T10:47:51.2658739Z inductor/test_selective_lowering 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_selective_lowering_1.1_12bf6bddf66cde59_.log 2025-12-04T10:47:51.2659791Z Running 0 items in this shard: 2025-12-04T10:47:51.2660001Z 2025-12-04T10:47:51.2660380Z Finished inductor/test_selective_lowering 1/1 ... [2025-12-04 10:47:51.265782][5671.815752699], took 0.20min 2025-12-04T10:47:51.2928189Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_selective_lowering/inductor.test_selective_lowering-04cafdccbee5f21a.xml 2025-12-04T10:47:52.8394982Z Running dynamo/test_base_output 1/1 ... [2025-12-04 10:47:52.839114][5673.3890884] 2025-12-04T10:47:52.8395833Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:47:52.8399508Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_base_output.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:47:52.839613] 2025-12-04T10:47:58.2505581Z Running inductor/test_cooperative_reductions 1/1 ... [2025-12-04 10:47:58.250183][5678.800156669] 2025-12-04T10:47:58.2506221Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:47:58.2509494Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cooperative_reductions.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:47:58.250652] 2025-12-04T10:47:59.7038529Z 2025-12-04T10:47:59.7039671Z dynamo/test_base_output 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_base_output_1.1_ef18366c78e4cfb6_.log 2025-12-04T10:47:59.7040611Z Running 0 items in this shard: 2025-12-04T10:47:59.7040844Z 2025-12-04T10:47:59.7041206Z Finished dynamo/test_base_output 1/1 ... [2025-12-04 10:47:59.703781][5680.253757136], took 0.11min 2025-12-04T10:47:59.7269573Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_base_output/dynamo.test_base_output-1f07c03d3d9147b9.xml 2025-12-04T10:48:06.7480532Z Running export/test_serialize 1/1 ... [2025-12-04 10:48:06.747650][5687.297624002] 2025-12-04T10:48:06.7481115Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:48:06.7484623Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_serialize.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:48:06.748159] 2025-12-04T10:48:10.2071179Z 2025-12-04T10:48:10.2072595Z inductor/test_cooperative_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cooperative_reductions_1.1_ff95bea5dcc5d9c9_.log 2025-12-04T10:48:10.2073676Z Running 0 items in this shard: 2025-12-04T10:48:10.2073896Z 2025-12-04T10:48:10.2074312Z Finished inductor/test_cooperative_reductions 1/1 ... [2025-12-04 10:48:10.207056][5690.757026973], took 0.20min 2025-12-04T10:48:10.2307345Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cooperative_reductions/inductor.test_cooperative_reductions-1752e266151fd775.xml 2025-12-04T10:48:17.1818523Z Running inductor/test_cutedsl_template 1/1 ... [2025-12-04 10:48:17.181429][5697.731402977] 2025-12-04T10:48:17.1819152Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:48:17.1823157Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cutedsl_template.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:48:17.181985] 2025-12-04T10:48:18.8210358Z 2025-12-04T10:48:18.8211745Z export/test_serialize 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_serialize_1.1_e13826e15141d265_.log 2025-12-04T10:48:18.8213088Z Running 0 items in this shard: 2025-12-04T10:48:18.8213397Z 2025-12-04T10:48:18.8213950Z Finished export/test_serialize 1/1 ... [2025-12-04 10:48:18.820943][5699.370917348], took 0.20min 2025-12-04T10:48:18.8448135Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_serialize/export.test_serialize-0030b682efb84a53.xml 2025-12-04T10:48:25.7550763Z Running inductor/test_inductor_scheduler 1/1 ... [2025-12-04 10:48:25.754676][5706.304650845] 2025-12-04T10:48:25.7551396Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:48:25.7554496Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_inductor_scheduler.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:48:25.755156] 2025-12-04T10:48:28.8021038Z 2025-12-04T10:48:28.8022530Z inductor/test_cutedsl_template 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cutedsl_template_1.1_6b269d7a65e14e86_.log 2025-12-04T10:48:28.8024241Z Running 0 items in this shard: 2025-12-04T10:48:28.8024631Z 2025-12-04T10:48:28.8025324Z Finished inductor/test_cutedsl_template 1/1 ... [2025-12-04 10:48:28.802057][5709.352030007], took 0.19min 2025-12-04T10:48:28.8264673Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cutedsl_template/inductor.test_cutedsl_template-9b7e02eb22f5444a.xml 2025-12-04T10:48:35.8897820Z Running inductor/test_move_constructors_to_gpu 1/1 ... [2025-12-04 10:48:35.889348][5716.439323004] 2025-12-04T10:48:35.8898519Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:48:35.8901852Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_move_constructors_to_gpu.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:48:35.889822] 2025-12-04T10:48:37.5860228Z 2025-12-04T10:48:37.5861324Z 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_7f9d143f02d6ce2c_.log 2025-12-04T10:48:37.5862344Z Running 0 items in this shard: 2025-12-04T10:48:37.5863634Z 2025-12-04T10:48:37.5864019Z Finished inductor/test_inductor_scheduler 1/1 ... [2025-12-04 10:48:37.585960][5718.13593493], took 0.20min 2025-12-04T10:48:37.6102384Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_inductor_scheduler/inductor.test_inductor_scheduler-e4792825d25193da.xml 2025-12-04T10:48:44.6008926Z Running export/test_export_strict 1/1 ... [2025-12-04 10:48:44.600467][5725.150440934] 2025-12-04T10:48:44.6009615Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:48:44.6013564Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_export_strict.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:48:44.601012] 2025-12-04T10:48:47.6941182Z 2025-12-04T10:48:47.6942661Z inductor/test_move_constructors_to_gpu 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_move_constructors_to_gpu_1.1_44236aec902257ad_.log 2025-12-04T10:48:47.6944229Z Running 0 items in this shard: 2025-12-04T10:48:47.6944548Z 2025-12-04T10:48:47.6945245Z Finished inductor/test_move_constructors_to_gpu 1/1 ... [2025-12-04 10:48:47.694032][5728.244006789], took 0.20min 2025-12-04T10:48:47.7186758Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_move_constructors_to_gpu/inductor.test_move_constructors_to_gpu-72a87fd653ae90b2.xml 2025-12-04T10:48:54.9182278Z Running dynamo/test_modules 1/1 ... [2025-12-04 10:48:54.917821][5735.467795945] 2025-12-04T10:48:54.9182845Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:48:54.9186158Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_modules.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:48:54.918307] 2025-12-04T10:48:57.2619005Z 2025-12-04T10:48:57.2620376Z export/test_export_strict 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_export_strict_1.1_d8d54e3844810d29_.log 2025-12-04T10:48:57.2621330Z Running 0 items in this shard: 2025-12-04T10:48:57.2621542Z 2025-12-04T10:48:57.2621960Z Finished export/test_export_strict 1/1 ... [2025-12-04 10:48:57.261809][5737.811784217], took 0.21min 2025-12-04T10:48:57.2863647Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_export_strict/export.test_export_strict-33545c6e63c820bb.xml 2025-12-04T10:49:04.3208356Z Running inductor/test_remote_cache 1/1 ... [2025-12-04 10:49:04.320406][5744.870380197] 2025-12-04T10:49:04.3208947Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:49:04.3211954Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_remote_cache.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:49:04.320899] 2025-12-04T10:49:06.9730114Z 2025-12-04T10:49:06.9731122Z dynamo/test_modules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_modules_1.1_e3cf1f46f03251a6_.log 2025-12-04T10:49:06.9732003Z Running 0 items in this shard: 2025-12-04T10:49:06.9732228Z 2025-12-04T10:49:06.9732537Z Finished dynamo/test_modules 1/1 ... [2025-12-04 10:49:06.972956][5747.522931137], took 0.20min 2025-12-04T10:49:06.9978169Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_modules/dynamo.test_modules-466cdebee2780b63.xml 2025-12-04T10:49:10.9836391Z 2025-12-04T10:49:10.9837826Z inductor/test_remote_cache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_remote_cache_1.1_5ff622cb83074239_.log 2025-12-04T10:49:10.9840063Z Running 0 items in this shard: 2025-12-04T10:49:10.9840288Z 2025-12-04T10:49:10.9840675Z Finished inductor/test_remote_cache 1/1 ... [2025-12-04 10:49:10.983542][5751.53351689], took 0.11min 2025-12-04T10:49:11.0088569Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_remote_cache/inductor.test_remote_cache-68bf1e09a9aac943.xml 2025-12-04T10:49:14.0946453Z Running inductor/test_coordinate_descent_tuner 1/1 ... [2025-12-04 10:49:14.094267][5754.644241404] 2025-12-04T10:49:14.0947118Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:49:14.0949973Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_coordinate_descent_tuner.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:49:14.094736] 2025-12-04T10:49:17.9351794Z Running inductor/test_inplace_padding 1/1 ... [2025-12-04 10:49:17.934784][5758.484758938] 2025-12-04T10:49:17.9352409Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:49:17.9355160Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_inplace_padding.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:49:17.935239] 2025-12-04T10:49:25.7223216Z 2025-12-04T10:49:25.7224700Z inductor/test_coordinate_descent_tuner 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_coordinate_descent_tuner_1.1_ab8e0caa4b82374f_.log 2025-12-04T10:49:25.7225989Z Running 0 items in this shard: 2025-12-04T10:49:25.7226251Z 2025-12-04T10:49:25.7227117Z Finished inductor/test_coordinate_descent_tuner 1/1 ... [2025-12-04 10:49:25.722279][5766.272254507], took 0.19min 2025-12-04T10:49:25.7478667Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_coordinate_descent_tuner/inductor.test_coordinate_descent_tuner-a3db044d16d7f64c.xml 2025-12-04T10:49:30.2083348Z 2025-12-04T10:49:30.2084499Z inductor/test_inplace_padding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inplace_padding_1.1_f7564283eb810365_.log 2025-12-04T10:49:30.2107984Z Running 50 items in this shard: test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune 2025-12-04T10:49:30.2130821Z 2025-12-04T10:49:30.2131188Z Finished inductor/test_inplace_padding 1/1 ... [2025-12-04 10:49:30.208368][5770.758342711], took 0.20min 2025-12-04T10:49:30.2340853Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_inplace_padding/inductor.test_inplace_padding-3fb7c84ab6ea0d9c.xml 2025-12-04T10:49:32.9129562Z Running inductor/test_cudacodecache 1/1 ... [2025-12-04 10:49:32.912495][5773.46246799] 2025-12-04T10:49:32.9130179Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:49:32.9132872Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cudacodecache.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:49:32.912971] 2025-12-04T10:49:37.2231375Z Running inductor/test_minifier_utils 1/1 ... [2025-12-04 10:49:37.222706][5777.77268086] 2025-12-04T10:49:37.2231969Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:49:37.2235479Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_minifier_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:49:37.223193] 2025-12-04T10:49:44.3225784Z 2025-12-04T10:49:44.3226936Z inductor/test_minifier_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_minifier_utils_1.1_deae65f6bbeacfa3_.log 2025-12-04T10:49:44.3227905Z Running 0 items in this shard: 2025-12-04T10:49:44.3228128Z 2025-12-04T10:49:44.3228484Z Finished inductor/test_minifier_utils 1/1 ... [2025-12-04 10:49:44.322509][5784.872482201], took 0.12min 2025-12-04T10:49:44.3484596Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_minifier_utils/inductor.test_minifier_utils-bf2216d3cc5d5d76.xml 2025-12-04T10:49:46.5353173Z 2025-12-04T10:49:46.5354717Z PRINTING LOG FILE of inductor/test_cudacodecache 1/1 (test/test-reports/inductor.test_cudacodecache_1.1_cbcfa0df80361928_.log) 2025-12-04T10:49:46.5356485Z Test results will be stored in test-reports/python-pytest/inductor.test_cudacodecache/inductor.test_cudacodecache-a81f9637a48f451b.xml 2025-12-04T10:49:46.5357743Z ============================= test session starts ============================== 2025-12-04T10:49:46.5358544Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T10:49:46.5359390Z cachedir: .pytest_cache 2025-12-04T10:49:46.5360218Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T10:49:46.5361121Z rootdir: /var/lib/jenkins/workspace 2025-12-04T10:49:46.5361601Z configfile: pytest.ini 2025-12-04T10:49:46.5362667Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T10:49:46.5364193Z collecting ... collected 3 items 2025-12-04T10:49:46.5364885Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T10:49:46.5400838Z Running 50 items in this shard: test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load 2025-12-04T10:49:46.5436746Z 2025-12-04T10:49:46.5437455Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load PASSED [0.9639s] [ 2%] 2025-12-04T10:49:46.5440236Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 10:49:44.874000 25214 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmp_10up8v3 2025-12-04T10:49:46.5442271Z FAILED [0.0315s] [ 2%] 2025-12-04T10:49:46.5444262Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 10:49:44.908000 25214 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmps5_v_466 2025-12-04T10:49:46.5446288Z FAILED [0.0055s] [ 2%] 2025-12-04T10:49:46.5448296Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 10:49:44.915000 25214 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpwm2m_y68 2025-12-04T10:49:46.5450232Z FAILED [0.0056s] [ 2%] 2025-12-04T10:49:46.5452085Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 10:49:44.925000 25214 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpb0wmn9p5 2025-12-04T10:49:46.5454045Z FAILED [0.0050s] [ 2%] 2025-12-04T10:49:46.5455883Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 10:49:44.931000 25214 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmphi538fqp 2025-12-04T10:49:46.5457600Z FAILED [0.0051s] [ 2%] 2025-12-04T10:49:46.5459118Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 10:49:44.938000 25214 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmprywj99o3 2025-12-04T10:49:46.5460807Z FAILED [0.0050s] [ 2%] 2025-12-04T10:49:46.5462536Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 10:49:44.944000 25214 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpbf6mm00b 2025-12-04T10:49:46.5464518Z FAILED [0.0050s] [ 2%] 2025-12-04T10:49:46.5466289Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 10:49:44.952000 25214 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpxjpcgdy2 2025-12-04T10:49:46.5468188Z FAILED [0.0051s] [ 2%] 2025-12-04T10:49:46.5469983Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 10:49:44.959000 25214 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpar7j8afe 2025-12-04T10:49:46.5471861Z FAILED [0.0051s] [ 2%] 2025-12-04T10:49:46.5473631Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 10:49:44.968000 25214 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpofjw98nb 2025-12-04T10:49:46.5475807Z FAILED [0.0078s] [ 2%] 2025-12-04T10:49:46.5477646Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 10:49:44.975000 25214 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmp0vk7644f 2025-12-04T10:49:46.5479594Z FAILED [0.0051s] [ 2%] 2025-12-04T10:49:46.5481447Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 10:49:44.983000 25214 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpx2owfpuo 2025-12-04T10:49:46.5483415Z FAILED [0.0053s] [ 2%] 2025-12-04T10:49:46.5485262Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 10:49:44.990000 25214 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpd8u9poep 2025-12-04T10:49:46.5487216Z FAILED [0.0051s] [ 2%] 2025-12-04T10:49:46.5489119Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 10:49:44.996000 25214 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpv2qzwhlu 2025-12-04T10:49:46.5491021Z FAILED [0.0051s] [ 2%] 2025-12-04T10:49:46.5492806Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 10:49:45.003000 25214 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpy7s2nkfd 2025-12-04T10:49:46.5494700Z FAILED [0.0051s] [ 2%] 2025-12-04T10:49:46.5496639Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 10:49:45.011000 25214 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpntu70ik5 2025-12-04T10:49:46.5498543Z FAILED [0.0051s] [ 2%] 2025-12-04T10:49:46.5500606Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 10:49:45.017000 25214 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmphjitgai8 2025-12-04T10:49:46.5502472Z FAILED [0.0053s] [ 2%] 2025-12-04T10:49:46.5504236Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 10:49:45.024000 25214 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpd2eyg8y5 2025-12-04T10:49:46.5506130Z FAILED [0.0050s] [ 2%] 2025-12-04T10:49:46.5507904Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 10:49:45.030000 25214 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpy8snfuof 2025-12-04T10:49:46.5509787Z FAILED [0.0051s] [ 2%] 2025-12-04T10:49:46.5511574Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 10:49:45.038000 25214 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmp0rtfyhrf 2025-12-04T10:49:46.5513466Z FAILED [0.0051s] [ 2%] 2025-12-04T10:49:46.5515317Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 10:49:45.045000 25214 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpllm1kds4 2025-12-04T10:49:46.5517427Z FAILED [0.0050s] [ 2%] 2025-12-04T10:49:46.5519259Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 10:49:45.051000 25214 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmplduhn36q 2025-12-04T10:49:46.5521378Z FAILED [0.0053s] [ 2%] 2025-12-04T10:49:46.5523207Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 10:49:45.058000 25214 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpmo253tgt 2025-12-04T10:49:46.5525188Z FAILED [0.0050s] [ 2%] 2025-12-04T10:49:46.5527025Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 10:49:45.064000 25214 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpu54e_f39 2025-12-04T10:49:46.5529058Z FAILED [0.0049s] [ 2%] 2025-12-04T10:49:46.5530832Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 10:49:45.071000 25214 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmphkceg_ml 2025-12-04T10:49:46.5532760Z FAILED [0.0051s] [ 2%] 2025-12-04T10:49:46.5534533Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 10:49:45.078000 25214 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpg8868p_c 2025-12-04T10:49:46.5536450Z FAILED [0.0051s] [ 2%] 2025-12-04T10:49:46.5538248Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 10:49:45.085000 25214 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmptki7mfv1 2025-12-04T10:49:46.5540136Z FAILED [0.0052s] [ 2%] 2025-12-04T10:49:46.5541924Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 10:49:45.092000 25214 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpv5i4e_ar 2025-12-04T10:49:46.5543830Z FAILED [0.0050s] [ 2%] 2025-12-04T10:49:46.5545612Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 10:49:45.098000 25214 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpr2jjpqta 2025-12-04T10:49:46.5547505Z FAILED [0.0050s] [ 2%] 2025-12-04T10:49:46.5549301Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 10:49:45.106000 25214 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpdms1srfa 2025-12-04T10:49:46.5551217Z FAILED [0.0050s] [ 2%] 2025-12-04T10:49:46.5553239Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 10:49:45.112000 25214 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpug1qd6t1 2025-12-04T10:49:46.5555313Z FAILED [0.0050s] [ 2%] 2025-12-04T10:49:46.5557304Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 10:49:45.119000 25214 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmp6crcv0aj 2025-12-04T10:49:46.5559265Z FAILED [0.0053s] [ 2%] 2025-12-04T10:49:46.5561115Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 10:49:45.125000 25214 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmphffojs56 2025-12-04T10:49:46.5563061Z FAILED [0.0050s] [ 2%] 2025-12-04T10:49:46.5564914Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 10:49:45.132000 25214 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmprlaqs5l6 2025-12-04T10:49:46.5566895Z FAILED [0.0052s] [ 2%] 2025-12-04T10:49:46.5568816Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 10:49:45.139000 25214 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpko0ol1_6 2025-12-04T10:49:46.5570711Z FAILED [0.0050s] [ 2%] 2025-12-04T10:49:46.5572496Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 10:49:45.147000 25214 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpwvltwx19 2025-12-04T10:49:46.5574399Z FAILED [0.0049s] [ 2%] 2025-12-04T10:49:46.5576173Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 10:49:45.154000 25214 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmp0ycexx4d 2025-12-04T10:49:46.5578170Z FAILED [0.0052s] [ 2%] 2025-12-04T10:49:46.5579972Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 10:49:45.160000 25214 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpz9t47gtl 2025-12-04T10:49:46.5581876Z FAILED [0.0050s] [ 2%] 2025-12-04T10:49:46.5583653Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 10:49:45.167000 25214 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpyhzhhy73 2025-12-04T10:49:46.5585547Z FAILED [0.0049s] [ 2%] 2025-12-04T10:49:46.5587319Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 10:49:45.174000 25214 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmp1591n6fd 2025-12-04T10:49:46.5589209Z FAILED [0.0050s] [ 2%] 2025-12-04T10:49:46.5590995Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 10:49:45.181000 25214 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpkpzcweye 2025-12-04T10:49:46.5592897Z FAILED [0.0050s] [ 2%] 2025-12-04T10:49:46.5594695Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 10:49:45.187000 25214 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpfav7o7lw 2025-12-04T10:49:46.5596890Z FAILED [0.0052s] [ 2%] 2025-12-04T10:49:46.5598709Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 10:49:45.194000 25214 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpkm_nthtr 2025-12-04T10:49:46.5600840Z FAILED [0.0050s] [ 2%] 2025-12-04T10:49:46.5602655Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 10:49:45.200000 25214 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmp_dtzedeh 2025-12-04T10:49:46.5604623Z FAILED [0.0050s] [ 2%] 2025-12-04T10:49:46.5606437Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 10:49:45.207000 25214 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmp4hroiq0s 2025-12-04T10:49:46.5608489Z FAILED [0.0049s] [ 2%] 2025-12-04T10:49:46.5610452Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 10:49:45.214000 25214 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmp9acgotb3 2025-12-04T10:49:46.5612426Z FAILED [0.0050s] [ 2%] 2025-12-04T10:49:46.5614195Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 10:49:45.221000 25214 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmp33eeo_yu 2025-12-04T10:49:46.5616100Z FAILED [0.0053s] [ 2%] 2025-12-04T10:49:46.5617889Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 10:49:45.227000 25214 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmppnv4ws_f 2025-12-04T10:49:46.5619817Z FAILED [0.0049s] [ 2%] 2025-12-04T10:49:46.5621588Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 10:49:45.234000 25214 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpysb80z58 2025-12-04T10:49:46.5623513Z FAILED [0.0049s] [ 2%] 2025-12-04T10:49:46.5623835Z 2025-12-04T10:49:46.5624094Z =================================== FAILURES =================================== 2025-12-04T10:49:46.5625045Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T10:49:46.5625921Z Traceback (most recent call last): 2025-12-04T10:49:46.5627069Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T10:49:46.5628333Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T10:49:46.5629624Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T10:49:46.5631042Z with open(input_path, "a") as f: 2025-12-04T10:49:46.5632517Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5634273Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T10:49:46.5635155Z Traceback (most recent call last): 2025-12-04T10:49:46.5636590Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T10:49:46.5637882Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T10:49:46.5639202Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T10:49:46.5640525Z with open(input_path, "a") as f: 2025-12-04T10:49:46.5642046Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5643856Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T10:49:46.5644757Z Traceback (most recent call last): 2025-12-04T10:49:46.5645943Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T10:49:46.5647246Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T10:49:46.5648671Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T10:49:46.5649945Z with open(input_path, "a") as f: 2025-12-04T10:49:46.5651425Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5653168Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T10:49:46.5654046Z Traceback (most recent call last): 2025-12-04T10:49:46.5655193Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T10:49:46.5656454Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T10:49:46.5657756Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T10:49:46.5659022Z with open(input_path, "a") as f: 2025-12-04T10:49:46.5660657Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5662455Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T10:49:46.5663335Z Traceback (most recent call last): 2025-12-04T10:49:46.5664486Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T10:49:46.5665735Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T10:49:46.5667042Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T10:49:46.5668297Z with open(input_path, "a") as f: 2025-12-04T10:49:46.5669788Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5671539Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T10:49:46.5672455Z Traceback (most recent call last): 2025-12-04T10:49:46.5673602Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T10:49:46.5690923Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T10:49:46.5692343Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T10:49:46.5693618Z with open(input_path, "a") as f: 2025-12-04T10:49:46.5695098Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5696849Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T10:49:46.5697875Z Traceback (most recent call last): 2025-12-04T10:49:46.5699015Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T10:49:46.5700478Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T10:49:46.5701773Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T10:49:46.5703061Z with open(input_path, "a") as f: 2025-12-04T10:49:46.5704524Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5706268Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T10:49:46.5707172Z Traceback (most recent call last): 2025-12-04T10:49:46.5708330Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T10:49:46.5709561Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T10:49:46.5710886Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T10:49:46.5712164Z with open(input_path, "a") as f: 2025-12-04T10:49:46.5713631Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5715460Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T10:49:46.5716577Z Traceback (most recent call last): 2025-12-04T10:49:46.5717754Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T10:49:46.5719034Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T10:49:46.5720390Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T10:49:46.5721706Z with open(input_path, "a") as f: 2025-12-04T10:49:46.5723215Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5725032Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T10:49:46.5725960Z Traceback (most recent call last): 2025-12-04T10:49:46.5727338Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T10:49:46.5728739Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T10:49:46.5730127Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T10:49:46.5731395Z with open(input_path, "a") as f: 2025-12-04T10:49:46.5732852Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5734609Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T10:49:46.5735526Z Traceback (most recent call last): 2025-12-04T10:49:46.5736665Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T10:49:46.5737920Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T10:49:46.5739248Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T10:49:46.5740515Z with open(input_path, "a") as f: 2025-12-04T10:49:46.5741996Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5743736Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T10:49:46.5744638Z Traceback (most recent call last): 2025-12-04T10:49:46.5745793Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T10:49:46.5747039Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T10:49:46.5748477Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T10:49:46.5749755Z with open(input_path, "a") as f: 2025-12-04T10:49:46.5751253Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5752982Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T10:49:46.5753881Z Traceback (most recent call last): 2025-12-04T10:49:46.5755027Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T10:49:46.5756549Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T10:49:46.5757885Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T10:49:46.5759201Z with open(input_path, "a") as f: 2025-12-04T10:49:46.5760732Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5762518Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T10:49:46.5763435Z Traceback (most recent call last): 2025-12-04T10:49:46.5764647Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T10:49:46.5765913Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T10:49:46.5767252Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T10:49:46.5768669Z with open(input_path, "a") as f: 2025-12-04T10:49:46.5770146Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5771867Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T10:49:46.5772756Z Traceback (most recent call last): 2025-12-04T10:49:46.5773922Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T10:49:46.5775173Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T10:49:46.5776462Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T10:49:46.5777705Z with open(input_path, "a") as f: 2025-12-04T10:49:46.5778991Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5780724Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T10:49:46.5781573Z Traceback (most recent call last): 2025-12-04T10:49:46.5782656Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T10:49:46.5783820Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T10:49:46.5784998Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T10:49:46.5786311Z with open(input_path, "a") as f: 2025-12-04T10:49:46.5787843Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5789641Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T10:49:46.5790565Z Traceback (most recent call last): 2025-12-04T10:49:46.5791762Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T10:49:46.5793063Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T10:49:46.5794390Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T10:49:46.5795974Z with open(input_path, "a") as f: 2025-12-04T10:49:46.5797557Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5799390Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T10:49:46.5800515Z Traceback (most recent call last): 2025-12-04T10:49:46.5801749Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T10:49:46.5803099Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T10:49:46.5804480Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T10:49:46.5805840Z with open(input_path, "a") as f: 2025-12-04T10:49:46.5807094Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5808883Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T10:49:46.5809721Z Traceback (most recent call last): 2025-12-04T10:49:46.5810798Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T10:49:46.5811826Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T10:49:46.5812962Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T10:49:46.5814105Z with open(input_path, "a") as f: 2025-12-04T10:49:46.5815448Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5817111Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T10:49:46.5817989Z Traceback (most recent call last): 2025-12-04T10:49:46.5819140Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T10:49:46.5820203Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T10:49:46.5821318Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T10:49:46.5822477Z with open(input_path, "a") as f: 2025-12-04T10:49:46.5823719Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5825204Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T10:49:46.5827434Z Traceback (most recent call last): 2025-12-04T10:49:46.5828602Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T10:49:46.5829849Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T10:49:46.5831042Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T10:49:46.5832259Z with open(input_path, "a") as f: 2025-12-04T10:49:46.5833667Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5835318Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T10:49:46.5836440Z Traceback (most recent call last): 2025-12-04T10:49:46.5837585Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T10:49:46.5838676Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T10:49:46.5839968Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T10:49:46.5841052Z with open(input_path, "a") as f: 2025-12-04T10:49:46.5842135Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5843114Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T10:49:46.5843618Z Traceback (most recent call last): 2025-12-04T10:49:46.5844279Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T10:49:46.5845127Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T10:49:46.5845866Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T10:49:46.5846574Z with open(input_path, "a") as f: 2025-12-04T10:49:46.5847542Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5848483Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T10:49:46.5848969Z Traceback (most recent call last): 2025-12-04T10:49:46.5849609Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T10:49:46.5850299Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T10:49:46.5851020Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T10:49:46.5851703Z with open(input_path, "a") as f: 2025-12-04T10:49:46.5852518Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5853461Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T10:49:46.5853962Z Traceback (most recent call last): 2025-12-04T10:49:46.5854585Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T10:49:46.5855276Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T10:49:46.5855997Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T10:49:46.5856683Z with open(input_path, "a") as f: 2025-12-04T10:49:46.5857495Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5858437Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T10:49:46.5858939Z Traceback (most recent call last): 2025-12-04T10:49:46.5859563Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T10:49:46.5860248Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T10:49:46.5861064Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T10:49:46.5861756Z with open(input_path, "a") as f: 2025-12-04T10:49:46.5862606Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5863546Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T10:49:46.5864040Z Traceback (most recent call last): 2025-12-04T10:49:46.5864661Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T10:49:46.5865350Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T10:49:46.5866072Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T10:49:46.5866755Z with open(input_path, "a") as f: 2025-12-04T10:49:46.5867562Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5868499Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T10:49:46.5868995Z Traceback (most recent call last): 2025-12-04T10:49:46.5869614Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T10:49:46.5870297Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T10:49:46.5871005Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T10:49:46.5871688Z with open(input_path, "a") as f: 2025-12-04T10:49:46.5872490Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5873467Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T10:49:46.5873963Z Traceback (most recent call last): 2025-12-04T10:49:46.5874586Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T10:49:46.5875368Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T10:49:46.5876286Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T10:49:46.5877004Z with open(input_path, "a") as f: 2025-12-04T10:49:46.5877818Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5878785Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T10:49:46.5879293Z Traceback (most recent call last): 2025-12-04T10:49:46.5879933Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T10:49:46.5880638Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T10:49:46.5881376Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T10:49:46.5882095Z with open(input_path, "a") as f: 2025-12-04T10:49:46.5882906Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5883879Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T10:49:46.5884386Z Traceback (most recent call last): 2025-12-04T10:49:46.5885025Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T10:49:46.5885732Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T10:49:46.5886465Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T10:49:46.5887184Z with open(input_path, "a") as f: 2025-12-04T10:49:46.5888117Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5889125Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T10:49:46.5889622Z Traceback (most recent call last): 2025-12-04T10:49:46.5890275Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T10:49:46.5890963Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T10:49:46.5891677Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T10:49:46.5892375Z with open(input_path, "a") as f: 2025-12-04T10:49:46.5893161Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5894101Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T10:49:46.5894589Z Traceback (most recent call last): 2025-12-04T10:49:46.5895229Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T10:49:46.5895899Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T10:49:46.5896611Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T10:49:46.5897309Z with open(input_path, "a") as f: 2025-12-04T10:49:46.5898098Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5899032Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T10:49:46.5899524Z Traceback (most recent call last): 2025-12-04T10:49:46.5900392Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T10:49:46.5901168Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T10:49:46.5901880Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T10:49:46.5902584Z with open(input_path, "a") as f: 2025-12-04T10:49:46.5903376Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5904317Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T10:49:46.5904810Z Traceback (most recent call last): 2025-12-04T10:49:46.5905442Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T10:49:46.5906116Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T10:49:46.5906828Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T10:49:46.5907527Z with open(input_path, "a") as f: 2025-12-04T10:49:46.5908319Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5909262Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T10:49:46.5909760Z Traceback (most recent call last): 2025-12-04T10:49:46.5910394Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T10:49:46.5911069Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T10:49:46.5911780Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T10:49:46.5912474Z with open(input_path, "a") as f: 2025-12-04T10:49:46.5913275Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5914204Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T10:49:46.5914695Z Traceback (most recent call last): 2025-12-04T10:49:46.5915405Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T10:49:46.5916382Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T10:49:46.5917129Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T10:49:46.5917895Z with open(input_path, "a") as f: 2025-12-04T10:49:46.5918728Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5919688Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T10:49:46.5920195Z Traceback (most recent call last): 2025-12-04T10:49:46.5920848Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T10:49:46.5921547Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T10:49:46.5922286Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T10:49:46.5923003Z with open(input_path, "a") as f: 2025-12-04T10:49:46.5923833Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5924789Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T10:49:46.5925299Z Traceback (most recent call last): 2025-12-04T10:49:46.5925951Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T10:49:46.5926657Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T10:49:46.5927506Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T10:49:46.5928203Z with open(input_path, "a") as f: 2025-12-04T10:49:46.5929042Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5929967Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T10:49:46.5930464Z Traceback (most recent call last): 2025-12-04T10:49:46.5931099Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T10:49:46.5931785Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T10:49:46.5932487Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T10:49:46.5933186Z with open(input_path, "a") as f: 2025-12-04T10:49:46.5933995Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5934920Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T10:49:46.5935415Z Traceback (most recent call last): 2025-12-04T10:49:46.5936050Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T10:49:46.5936735Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T10:49:46.5937437Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T10:49:46.5938260Z with open(input_path, "a") as f: 2025-12-04T10:49:46.5939567Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5941002Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T10:49:46.5941536Z Traceback (most recent call last): 2025-12-04T10:49:46.5942182Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T10:49:46.5942876Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T10:49:46.5943596Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T10:49:46.5944298Z with open(input_path, "a") as f: 2025-12-04T10:49:46.5945225Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5946169Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T10:49:46.5946685Z Traceback (most recent call last): 2025-12-04T10:49:46.5947322Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T10:49:46.5948006Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T10:49:46.5948707Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T10:49:46.5949404Z with open(input_path, "a") as f: 2025-12-04T10:49:46.5950211Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5951156Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T10:49:46.5951635Z Traceback (most recent call last): 2025-12-04T10:49:46.5952274Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T10:49:46.5952957Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T10:49:46.5953662Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T10:49:46.5954364Z with open(input_path, "a") as f: 2025-12-04T10:49:46.5955278Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5956436Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T10:49:46.5956997Z Traceback (most recent call last): 2025-12-04T10:49:46.5957650Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T10:49:46.5958363Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T10:49:46.5959092Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T10:49:46.5959809Z with open(input_path, "a") as f: 2025-12-04T10:49:46.5960641Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5961609Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T10:49:46.5962105Z Traceback (most recent call last): 2025-12-04T10:49:46.5962761Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T10:49:46.5963467Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T10:49:46.5964204Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T10:49:46.5964909Z with open(input_path, "a") as f: 2025-12-04T10:49:46.5965748Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5966718Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T10:49:46.5967217Z Traceback (most recent call last): 2025-12-04T10:49:46.5967986Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T10:49:46.5968673Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T10:49:46.5969386Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T10:49:46.5970073Z with open(input_path, "a") as f: 2025-12-04T10:49:46.5970876Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5971819Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T10:49:46.5972300Z Traceback (most recent call last): 2025-12-04T10:49:46.5973020Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T10:49:46.5973708Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T10:49:46.5974458Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T10:49:46.5975144Z with open(input_path, "a") as f: 2025-12-04T10:49:46.5975951Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5976891Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T10:49:46.5977386Z Traceback (most recent call last): 2025-12-04T10:49:46.5978011Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T10:49:46.5978697Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T10:49:46.5979411Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T10:49:46.5980099Z with open(input_path, "a") as f: 2025-12-04T10:49:46.5980900Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5982353Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cudacodecache/inductor.test_cudacodecache-a81f9637a48f451b.xml - 2025-12-04T10:49:46.5983400Z =========================== short test summary info ============================ 2025-12-04T10:49:46.5984683Z FAILED [0.0315s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5986769Z FAILED [0.0055s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5988815Z FAILED [0.0056s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5990851Z FAILED [0.0050s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5992891Z FAILED [0.0051s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5994919Z FAILED [0.0050s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5997270Z FAILED [0.0050s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.5999372Z FAILED [0.0051s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.6001688Z FAILED [0.0051s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.6003794Z FAILED [0.0078s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.6006014Z FAILED [0.0051s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.6008270Z FAILED [0.0053s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.6010309Z FAILED [0.0051s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.6012350Z FAILED [0.0051s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.6014380Z FAILED [0.0051s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.6016410Z FAILED [0.0051s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.6018444Z FAILED [0.0053s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.6020464Z FAILED [0.0050s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.6022552Z FAILED [0.0051s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.6024585Z FAILED [0.0051s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.6026625Z FAILED [0.0050s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.6028665Z FAILED [0.0053s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.6030698Z FAILED [0.0050s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.6032743Z FAILED [0.0049s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.6034783Z FAILED [0.0051s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.6037103Z FAILED [0.0051s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.6039264Z FAILED [0.0052s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.6041371Z FAILED [0.0050s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.6043488Z FAILED [0.0050s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.6045586Z FAILED [0.0050s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.6047810Z FAILED [0.0050s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.6049839Z FAILED [0.0053s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.6051871Z FAILED [0.0050s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.6053905Z FAILED [0.0052s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.6055966Z FAILED [0.0050s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.6058001Z FAILED [0.0049s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.6060032Z FAILED [0.0052s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.6062063Z FAILED [0.0050s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.6064105Z FAILED [0.0049s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.6066136Z FAILED [0.0050s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.6068168Z FAILED [0.0050s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.6070200Z FAILED [0.0052s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.6072231Z FAILED [0.0050s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.6074311Z FAILED [0.0050s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.6076645Z FAILED [0.0049s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.6078728Z FAILED [0.0050s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.6080826Z FAILED [0.0053s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.6082925Z FAILED [0.0049s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.6085023Z FAILED [0.0049s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi7281l2e/vl/cvl4bxs6v7ho5p6ekzyq4k3tukap5btj5lf352tznhh7ih2t25ih.cu' 2025-12-04T10:49:46.6086319Z ========================= 49 failed, 1 passed in 1.37s ========================= 2025-12-04T10:49:46.6086633Z 2025-12-04T10:49:46.6087211Z FINISHED PRINTING LOG FILE of inductor/test_cudacodecache 1/1 (test/test-reports/inductor.test_cudacodecache_1.1_cbcfa0df80361928_.log) 2025-12-04T10:49:46.6088113Z 2025-12-04T10:49:46.6088468Z Finished inductor/test_cudacodecache 1/1 ... [2025-12-04 10:49:46.535780][5787.085750519], took 0.23min 2025-12-04T10:49:46.6089786Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cudacodecache/inductor.test_cudacodecache-a81f9637a48f451b.xml 2025-12-04T10:49:46.9409306Z Uploading logs for 57119749258 to S3 2025-12-04T10:49:46.9874809Z Uploading artifacts took 0.37 seconds 2025-12-04T10:49:46.9875845Z inductor/test_cudacodecache 1/1 failed! 2025-12-04T10:49:51.4089179Z Running inductor/test_debug_trace 1/1 ... [2025-12-04 10:49:51.408512][5791.958486614] 2025-12-04T10:49:51.4089779Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:49:51.4093175Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_debug_trace.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:49:51.409012] 2025-12-04T10:49:53.5282300Z Running dynamo/test_recompiles 1/1 ... [2025-12-04 10:49:53.527855][5794.077829479] 2025-12-04T10:49:53.5282905Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:49:53.5286116Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_recompiles.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:49:53.528316] 2025-12-04T10:50:00.4430388Z 2025-12-04T10:50:00.4431706Z dynamo/test_recompiles 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_recompiles_1.1_bac6198c75138e5e_.log 2025-12-04T10:50:00.4433257Z Running 0 items in this shard: 2025-12-04T10:50:00.4433668Z 2025-12-04T10:50:00.4434272Z Finished dynamo/test_recompiles 1/1 ... [2025-12-04 10:50:00.442966][5800.992939314], took 0.12min 2025-12-04T10:50:00.4697487Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_recompiles/dynamo.test_recompiles-09a4d5b983e7e705.xml 2025-12-04T10:50:03.4359998Z 2025-12-04T10:50:03.4361410Z inductor/test_debug_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_debug_trace_1.1_c938aee96fbd7674_.log 2025-12-04T10:50:03.4362481Z Running 0 items in this shard: 2025-12-04T10:50:03.4362709Z 2025-12-04T10:50:03.4363056Z Finished inductor/test_debug_trace 1/1 ... [2025-12-04 10:50:03.435941][5803.985914888], took 0.20min 2025-12-04T10:50:03.4623260Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_debug_trace/inductor.test_debug_trace-126842e65486822d.xml 2025-12-04T10:50:07.4333500Z Running inductor/test_foreach 1/1 ... [2025-12-04 10:50:07.432958][5807.982929901] 2025-12-04T10:50:07.4334084Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:50:07.4337396Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_foreach.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:50:07.433452] 2025-12-04T10:50:10.3731172Z Running inductor/test_control_flow 4/4 ... [2025-12-04 10:50:10.372724][5810.922698459] 2025-12-04T10:50:10.3731784Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:50:10.3734708Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_control_flow.py', '-m', 'not serial', '--shard-id=4', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:50:10.373192] 2025-12-04T10:50:20.5723295Z 2025-12-04T10:50:20.5724557Z inductor/test_foreach 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_foreach_1.1_c281758cc4f359c4_.log 2025-12-04T10:50:20.5725822Z Running 0 items in this shard: 2025-12-04T10:50:20.5726128Z 2025-12-04T10:50:20.5726477Z Finished inductor/test_foreach 1/1 ... [2025-12-04 10:50:20.572293][5821.122267244], took 0.22min 2025-12-04T10:50:20.5989188Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_foreach/inductor.test_foreach-bea09cc3978fc022.xml 2025-12-04T10:50:23.6184046Z 2025-12-04T10:50:23.6185292Z inductor/test_control_flow 4/4 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_control_flow_4.4_0e2b24093813c4c0_.log 2025-12-04T10:50:23.6186428Z Running 0 items in this shard: 2025-12-04T10:50:23.6186724Z 2025-12-04T10:50:23.6187227Z Finished inductor/test_control_flow 4/4 ... [2025-12-04 10:50:23.618363][5824.168337137], took 0.22min 2025-12-04T10:50:23.6456007Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_control_flow/inductor.test_control_flow-ea1e9cd92d76f980.xml 2025-12-04T10:50:27.5228887Z Running dynamo/test_graph_region_tracker 1/1 ... [2025-12-04 10:50:27.522505][5828.072479421] 2025-12-04T10:50:27.5229541Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:50:27.5232853Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_graph_region_tracker.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:50:27.522999] 2025-12-04T10:50:30.5543224Z Running dynamo/test_unittest 1/1 ... [2025-12-04 10:50:30.553936][5831.103910122] 2025-12-04T10:50:30.5543791Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:50:30.5546626Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_unittest.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:50:30.554389] 2025-12-04T10:50:34.4567999Z 2025-12-04T10:50:34.4569959Z dynamo/test_graph_region_tracker 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_graph_region_tracker_1.1_19f66bd6cce1a158_.log 2025-12-04T10:50:34.4571074Z Running 0 items in this shard: 2025-12-04T10:50:34.4571282Z 2025-12-04T10:50:34.4571668Z Finished dynamo/test_graph_region_tracker 1/1 ... [2025-12-04 10:50:34.456727][5835.006700275], took 0.12min 2025-12-04T10:50:34.4838769Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_graph_region_tracker/dynamo.test_graph_region_tracker-5df836b7250d6a2f.xml 2025-12-04T10:50:37.6172869Z 2025-12-04T10:50:37.6173921Z dynamo/test_unittest 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_unittest_1.1_e895556059bef2a4_.log 2025-12-04T10:50:37.6174807Z Running 0 items in this shard: 2025-12-04T10:50:37.6175040Z 2025-12-04T10:50:37.6175354Z Finished dynamo/test_unittest 1/1 ... [2025-12-04 10:50:37.617193][5838.167168763], took 0.12min 2025-12-04T10:50:37.6445896Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_unittest/dynamo.test_unittest-7eb7e8aff19ed395.xml 2025-12-04T10:50:41.5042111Z Running inductor/test_compile 1/1 ... [2025-12-04 10:50:41.503832][5842.053806115] 2025-12-04T10:50:41.5042692Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:50:41.5046682Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_compile.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:50:41.504353] 2025-12-04T10:50:44.7443419Z Running dynamo/test_functions 1/1 ... [2025-12-04 10:50:44.743931][5845.293906337] 2025-12-04T10:50:44.7444038Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:50:44.7447542Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_functions.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:50:44.744417] 2025-12-04T10:50:53.1297808Z 2025-12-04T10:50:53.1298886Z inductor/test_compile 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compile_1.1_ab2823e75be1bcc4_.log 2025-12-04T10:50:53.1299789Z Running 0 items in this shard: 2025-12-04T10:50:53.1300000Z 2025-12-04T10:50:53.1300470Z Finished inductor/test_compile 1/1 ... [2025-12-04 10:50:53.129707][5853.679681029], took 0.19min 2025-12-04T10:50:53.1573458Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compile/inductor.test_compile-833cc7e79e6e06fb.xml 2025-12-04T10:50:57.5582394Z 2025-12-04T10:50:57.5583727Z dynamo/test_functions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_functions_1.1_09b6dcc93d7f3a74_.log 2025-12-04T10:50:57.5584634Z Running 0 items in this shard: 2025-12-04T10:50:57.5584867Z 2025-12-04T10:50:57.5585187Z Finished dynamo/test_functions 1/1 ... [2025-12-04 10:50:57.558213][5858.108186798], took 0.21min 2025-12-04T10:50:57.5863093Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_functions/dynamo.test_functions-2f0c53897b24782b.xml 2025-12-04T10:51:00.4926387Z Running dynamo/test_package 1/1 ... [2025-12-04 10:51:00.492205][5861.042176537] 2025-12-04T10:51:00.4926960Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:51:00.4930853Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_package.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:51:00.492766] 2025-12-04T10:51:04.5401458Z Running inductor/test_efficient_conv_bn_eval 1/1 ... [2025-12-04 10:51:04.539739][5865.089712477] 2025-12-04T10:51:04.5402180Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:51:04.5405439Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_efficient_conv_bn_eval.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:51:04.540239] 2025-12-04T10:51:12.4048898Z 2025-12-04T10:51:12.4049872Z dynamo/test_package 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_package_1.1_95d0a4cec144a0da_.log 2025-12-04T10:51:12.4050782Z Running 0 items in this shard: 2025-12-04T10:51:12.4051011Z 2025-12-04T10:51:12.4051322Z Finished dynamo/test_package 1/1 ... [2025-12-04 10:51:12.404815][5872.954788861], took 0.20min 2025-12-04T10:51:12.4331741Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_package/dynamo.test_package-e10ad641d6cab9b5.xml 2025-12-04T10:51:16.6093702Z 2025-12-04T10:51:16.6095556Z 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_9b0171890f05e6bc_.log 2025-12-04T10:51:16.6097540Z Running 0 items in this shard: 2025-12-04T10:51:16.6097925Z 2025-12-04T10:51:16.6098668Z Finished inductor/test_efficient_conv_bn_eval 1/1 ... [2025-12-04 10:51:16.609300][5877.159276416], took 0.20min 2025-12-04T10:51:16.6377376Z 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-e399d73d08dbddc9.xml 2025-12-04T10:51:19.5112155Z Running inductor/test_torchbind 1/1 ... [2025-12-04 10:51:19.510818][5880.060792439] 2025-12-04T10:51:19.5112747Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:51:19.5115814Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchbind.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:51:19.511280] 2025-12-04T10:51:23.5577648Z Running dynamo/test_flat_apply 1/1 ... [2025-12-04 10:51:23.557377][5884.107351973] 2025-12-04T10:51:23.5578228Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:51:23.5581288Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_flat_apply.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:51:23.557839] 2025-12-04T10:51:30.4852734Z 2025-12-04T10:51:30.4853941Z dynamo/test_flat_apply 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_flat_apply_1.1_997c08d02901826f_.log 2025-12-04T10:51:30.4854863Z Running 0 items in this shard: 2025-12-04T10:51:30.4855082Z 2025-12-04T10:51:30.4855419Z Finished dynamo/test_flat_apply 1/1 ... [2025-12-04 10:51:30.485194][5891.035166812], took 0.12min 2025-12-04T10:51:30.5140451Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchbind/inductor.test_torchbind-e73363bc38b03b19.xml 2025-12-04T10:51:30.5847479Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_flat_apply/dynamo.test_flat_apply-3fa5c0cdccf10176.xml 2025-12-04T10:51:31.1124892Z 2025-12-04T10:51:31.1126088Z inductor/test_torchbind 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchbind_1.1_ce5983db59e2e062_.log 2025-12-04T10:51:31.1127169Z Running 0 items in this shard: 2025-12-04T10:51:31.1127497Z 2025-12-04T10:51:31.1128442Z Finished inductor/test_torchbind 1/1 ... [2025-12-04 10:51:31.112445][5891.662419268], took 0.19min 2025-12-04T10:51:37.6001288Z Running dynamo/test_input_attr_tracking 1/1 ... [2025-12-04 10:51:37.599722][5898.149696366] 2025-12-04T10:51:37.6002178Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:51:37.6005185Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_input_attr_tracking.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:51:37.600218] 2025-12-04T10:51:38.0333298Z Running dynamo/test_graph_deduplication 1/1 ... [2025-12-04 10:51:38.032699][5898.582666768] 2025-12-04T10:51:38.0334686Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:51:38.0344127Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_graph_deduplication.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:51:38.033754] 2025-12-04T10:51:44.6350914Z 2025-12-04T10:51:44.6352529Z dynamo/test_input_attr_tracking 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_input_attr_tracking_1.1_c415bc1f7f35fe37_.log 2025-12-04T10:51:44.6353538Z Running 0 items in this shard: 2025-12-04T10:51:44.6353751Z 2025-12-04T10:51:44.6354122Z Finished dynamo/test_input_attr_tracking 1/1 ... [2025-12-04 10:51:44.635116][5905.185085769], took 0.12min 2025-12-04T10:51:44.6647497Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_input_attr_tracking/dynamo.test_input_attr_tracking-4a1ffc76ecfaf551.xml 2025-12-04T10:51:44.7355342Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_graph_deduplication/dynamo.test_graph_deduplication-2941479d7eac31dc.xml 2025-12-04T10:51:45.1667520Z 2025-12-04T10:51:45.1668834Z dynamo/test_graph_deduplication 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_graph_deduplication_1.1_2ca9382f547612eb_.log 2025-12-04T10:51:45.1669859Z Running 0 items in this shard: 2025-12-04T10:51:45.1670070Z 2025-12-04T10:51:45.1670467Z Finished dynamo/test_graph_deduplication 1/1 ... [2025-12-04 10:51:45.166671][5905.716646671], took 0.12min 2025-12-04T10:51:51.8759893Z Running dynamo/test_structured_trace 1/1 ... [2025-12-04 10:51:51.875616][5912.425591359] 2025-12-04T10:51:51.8760527Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:51:51.8764561Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_structured_trace.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:51:51.876119] 2025-12-04T10:51:52.0521561Z Running dynamo/test_error_messages 1/1 ... [2025-12-04 10:51:52.051763][5912.601737429] 2025-12-04T10:51:52.0522215Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:51:52.0525399Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_error_messages.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:51:52.052243] 2025-12-04T10:51:59.0856365Z 2025-12-04T10:51:59.0857716Z dynamo/test_error_messages 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_error_messages_1.1_3c14a4cfe5c61b01_.log 2025-12-04T10:51:59.0858766Z Running 0 items in this shard: 2025-12-04T10:51:59.0858977Z 2025-12-04T10:51:59.0859597Z Finished dynamo/test_error_messages 1/1 ... [2025-12-04 10:51:59.085602][5919.635573925], took 0.12min 2025-12-04T10:51:59.1151604Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_error_messages/dynamo.test_error_messages-87ee5ad4c65111ca.xml 2025-12-04T10:52:03.7566628Z 2025-12-04T10:52:03.7568041Z dynamo/test_structured_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_structured_trace_1.1_d8db7b1e43be258c_.log 2025-12-04T10:52:03.7569011Z Running 0 items in this shard: 2025-12-04T10:52:03.7569239Z 2025-12-04T10:52:03.7569596Z Finished dynamo/test_structured_trace 1/1 ... [2025-12-04 10:52:03.756624][5924.306598273], took 0.20min 2025-12-04T10:52:03.7862712Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_structured_trace/dynamo.test_structured_trace-d6b4b863dd7fb4de.xml 2025-12-04T10:52:06.4312179Z Running dynamo/test_bytecode_utils 1/1 ... [2025-12-04 10:52:06.430799][5926.980770632] 2025-12-04T10:52:06.4312836Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:52:06.4316680Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_bytecode_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:52:06.431296] 2025-12-04T10:52:10.8071035Z Running export/test_nativert 1/1 ... [2025-12-04 10:52:10.806704][5931.356677675] 2025-12-04T10:52:10.8071610Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:52:10.8075093Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_nativert.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:52:10.807212] 2025-12-04T10:52:13.5178763Z 2025-12-04T10:52:13.5180010Z dynamo/test_bytecode_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_bytecode_utils_1.1_6879fcc116f53185_.log 2025-12-04T10:52:13.5181162Z Running 0 items in this shard: 2025-12-04T10:52:13.5181492Z 2025-12-04T10:52:13.5182009Z Finished dynamo/test_bytecode_utils 1/1 ... [2025-12-04 10:52:13.517825][5934.0678012], took 0.12min 2025-12-04T10:52:13.5477746Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_bytecode_utils/dynamo.test_bytecode_utils-566534604d34c782.xml 2025-12-04T10:52:20.4672859Z Running export/test_hop 1/1 ... [2025-12-04 10:52:20.466897][5941.016871524] 2025-12-04T10:52:20.4673442Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:52:20.4676687Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_hop.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:52:20.467363] 2025-12-04T10:52:22.5911278Z 2025-12-04T10:52:22.5912486Z export/test_nativert 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_nativert_1.1_89304bc2afa7ee16_.log 2025-12-04T10:52:22.5913388Z Running 0 items in this shard: 2025-12-04T10:52:22.5913597Z 2025-12-04T10:52:22.5913919Z Finished export/test_nativert 1/1 ... [2025-12-04 10:52:22.591060][5943.141032704], took 0.20min 2025-12-04T10:52:22.6212141Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_nativert/export.test_nativert-5ac0ff13065c1cd3.xml 2025-12-04T10:52:28.5587727Z 2025-12-04T10:52:28.5588692Z export/test_hop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_hop_1.1_ee0808abcead0ffa_.log 2025-12-04T10:52:28.5589525Z Running 0 items in this shard: 2025-12-04T10:52:28.5589738Z 2025-12-04T10:52:28.5590343Z Finished export/test_hop 1/1 ... [2025-12-04 10:52:28.558682][5949.108658127], took 0.13min 2025-12-04T10:52:28.5888133Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_hop/export.test_hop-9517e4b0f7ec1725.xml 2025-12-04T10:52:29.6763866Z Running dynamo/test_tree_map 1/1 ... [2025-12-04 10:52:29.676007][5950.225978818] 2025-12-04T10:52:29.6764429Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:52:29.6768171Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_tree_map.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:52:29.676511] 2025-12-04T10:52:35.5904147Z Running dynamo/test_minifier 1/1 ... [2025-12-04 10:52:35.590008][5956.139982785] 2025-12-04T10:52:35.5904720Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:52:35.5907751Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_minifier.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:52:35.590483] 2025-12-04T10:52:36.3881505Z 2025-12-04T10:52:36.3882805Z dynamo/test_tree_map 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_tree_map_1.1_9026a39fc6176516_.log 2025-12-04T10:52:36.3884357Z Running 0 items in this shard: 2025-12-04T10:52:36.3884757Z 2025-12-04T10:52:36.3885225Z Finished dynamo/test_tree_map 1/1 ... [2025-12-04 10:52:36.388080][5956.93805396], took 0.11min 2025-12-04T10:52:36.4194330Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_tree_map/dynamo.test_tree_map-962753b304b5bfae.xml 2025-12-04T10:52:42.6832360Z 2025-12-04T10:52:42.6833458Z dynamo/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_minifier_1.1_504815a7cd4eab7c_.log 2025-12-04T10:52:42.6834433Z Running 0 items in this shard: 2025-12-04T10:52:42.6834665Z 2025-12-04T10:52:42.6835044Z Finished dynamo/test_minifier 1/1 ... [2025-12-04 10:52:42.683194][5963.233169913], took 0.12min 2025-12-04T10:52:42.7137374Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_minifier/dynamo.test_minifier-bba17ce11829cea9.xml 2025-12-04T10:52:43.2975022Z Running dynamo/test_guard_manager 1/1 ... [2025-12-04 10:52:43.297137][5963.847110689] 2025-12-04T10:52:43.2975672Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:52:43.2979081Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_guard_manager.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:52:43.297636] 2025-12-04T10:52:49.7777641Z Running export/test_schema 1/1 ... [2025-12-04 10:52:49.777377][5970.327351615] 2025-12-04T10:52:49.7778232Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:52:49.7781264Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_schema.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:52:49.777843] 2025-12-04T10:52:49.8593525Z 2025-12-04T10:52:49.8594260Z dynamo/test_guard_manager 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_guard_manager_1.1_27e70e3eb7c7a32c_.log 2025-12-04T10:52:49.8595403Z Running 0 items in this shard: 2025-12-04T10:52:49.8595843Z 2025-12-04T10:52:49.8596683Z Finished dynamo/test_guard_manager 1/1 ... [2025-12-04 10:52:49.859334][5970.40930906], took 0.11min 2025-12-04T10:52:49.8905652Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_guard_manager/dynamo.test_guard_manager-81ffd11ebac5d5cd.xml 2025-12-04T10:52:56.5133855Z 2025-12-04T10:52:56.5134914Z export/test_schema 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_schema_1.1_f0b08849dea3623b_.log 2025-12-04T10:52:56.5135850Z Running 0 items in this shard: 2025-12-04T10:52:56.5136075Z 2025-12-04T10:52:56.5136390Z Finished export/test_schema 1/1 ... [2025-12-04 10:52:56.513321][5977.063295625], took 0.11min 2025-12-04T10:52:56.5443824Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_schema/export.test_schema-4df2d944d1e2db53.xml 2025-12-04T10:52:56.8897284Z Running export/test_pass_infra 1/1 ... [2025-12-04 10:52:56.889397][5977.43937168] 2025-12-04T10:52:56.8897859Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:52:56.8901597Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_pass_infra.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:52:56.889863] 2025-12-04T10:53:03.4271898Z 2025-12-04T10:53:03.4272947Z export/test_pass_infra 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_pass_infra_1.1_02d5e13349591b99_.log 2025-12-04T10:53:03.4273861Z Running 0 items in this shard: 2025-12-04T10:53:03.4274091Z 2025-12-04T10:53:03.4274413Z Finished export/test_pass_infra 1/1 ... [2025-12-04 10:53:03.427132][5983.977107068], took 0.11min 2025-12-04T10:53:03.4589778Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_pass_infra/export.test_pass_infra-da6b56e2e01458d5.xml 2025-12-04T10:53:03.5794028Z Running dynamo/test_recompile_ux 1/1 ... [2025-12-04 10:53:03.579072][5984.129046874] 2025-12-04T10:53:03.5794606Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:53:03.5798501Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_recompile_ux.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:53:03.579545] 2025-12-04T10:53:10.5744957Z Running export/test_experimental 1/1 ... [2025-12-04 10:53:10.574112][5991.124086876] 2025-12-04T10:53:10.5745544Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:53:10.5748620Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_experimental.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:53:10.574578] 2025-12-04T10:53:10.5862515Z 2025-12-04T10:53:10.5863848Z dynamo/test_recompile_ux 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_recompile_ux_1.1_640cb69713aee950_.log 2025-12-04T10:53:10.5864958Z Running 0 items in this shard: 2025-12-04T10:53:10.5865167Z 2025-12-04T10:53:10.5865516Z Finished dynamo/test_recompile_ux 1/1 ... [2025-12-04 10:53:10.586303][5991.136279006], took 0.12min 2025-12-04T10:53:10.6180467Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_recompile_ux/dynamo.test_recompile_ux-2bbd39b466c3177e.xml 2025-12-04T10:53:17.7267491Z 2025-12-04T10:53:17.7268568Z export/test_experimental 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_experimental_1.1_21be96af734b3152_.log 2025-12-04T10:53:17.7269526Z Running 0 items in this shard: 2025-12-04T10:53:17.7269736Z 2025-12-04T10:53:17.7270373Z Finished export/test_experimental 1/1 ... [2025-12-04 10:53:17.726659][5998.276631178], took 0.12min 2025-12-04T10:53:17.7589704Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_experimental/export.test_experimental-7981d57b2c4e4a7e.xml 2025-12-04T10:53:17.7993043Z Running export/test_converter 1/1 ... [2025-12-04 10:53:17.798968][5998.348942144] 2025-12-04T10:53:17.7993603Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:53:17.7997673Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_converter.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:53:17.799452] 2025-12-04T10:53:24.9820013Z Running export/test_export 1/1 ... [2025-12-04 10:53:24.981632][6005.531606336] 2025-12-04T10:53:24.9820574Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:53:24.9823939Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_export.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:53:24.982109] 2025-12-04T10:53:25.0252988Z 2025-12-04T10:53:25.0253880Z export/test_converter 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_converter_1.1_a3136629c28f7494_.log 2025-12-04T10:53:25.0254824Z Running 0 items in this shard: 2025-12-04T10:53:25.0255041Z 2025-12-04T10:53:25.0255850Z Finished export/test_converter 1/1 ... [2025-12-04 10:53:25.025403][6005.575375384], took 0.12min 2025-12-04T10:53:25.0576006Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_converter/export.test_converter-a3e7e98839b10485.xml 2025-12-04T10:53:32.3115775Z Running xpu/test_fusion 1/1 ... [2025-12-04 10:53:32.311161][6012.861135888] 2025-12-04T10:53:32.3116340Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:53:32.3119396Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'xpu/test_fusion.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:53:32.311662] 2025-12-04T10:53:37.9002497Z 2025-12-04T10:53:37.9003509Z export/test_export 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_export_1.1_b1691c8b30cda905_.log 2025-12-04T10:53:37.9004478Z Running 0 items in this shard: 2025-12-04T10:53:37.9004727Z 2025-12-04T10:53:37.9005124Z Finished export/test_export 1/1 ... [2025-12-04 10:53:37.900170][6018.450145259], took 0.22min 2025-12-04T10:53:37.9330503Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_export/export.test_export-4dc7c20d99c77606.xml 2025-12-04T10:53:39.5949374Z 2025-12-04T10:53:39.5950964Z xpu/test_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_fusion_1.1_fa01e7c7722a7cdd_.log 2025-12-04T10:53:39.5952405Z Running 0 items in this shard: 2025-12-04T10:53:39.5952617Z 2025-12-04T10:53:39.5952917Z Finished xpu/test_fusion 1/1 ... [2025-12-04 10:53:39.594962][6020.144933683], took 0.12min 2025-12-04T10:53:39.6278767Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/xpu.test_fusion/xpu.test_fusion-03ed08de2848c612.xml 2025-12-04T10:53:45.0300933Z Running higher_order_ops/test_with_effects 1/1 ... [2025-12-04 10:53:45.029642][6025.579616436] 2025-12-04T10:53:45.0301591Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:53:45.0305577Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'higher_order_ops/test_with_effects.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:53:45.030152] 2025-12-04T10:53:46.5601610Z Running test_weak 1/1 ... [2025-12-04 10:53:46.559726][6027.109700183] 2025-12-04T10:53:46.5602175Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:53:46.5605380Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_weak.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:53:46.560216] 2025-12-04T10:53:53.0830091Z 2025-12-04T10:53:53.0832013Z higher_order_ops/test_with_effects 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_with_effects_1.1_a2de4bf61ebeee2f_.log 2025-12-04T10:53:53.0833059Z Running 0 items in this shard: 2025-12-04T10:53:53.0833268Z 2025-12-04T10:53:53.0833675Z Finished higher_order_ops/test_with_effects 1/1 ... [2025-12-04 10:53:53.082954][6033.632927696], took 0.13min 2025-12-04T10:53:53.1167151Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/higher_order_ops.test_with_effects/higher_order_ops.test_with_effects-dbc1e0a49f4ca2ec.xml 2025-12-04T10:53:53.1870009Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_weak/test_weak-3d4dd97c1fdfe686.xml 2025-12-04T10:53:53.4610949Z 2025-12-04T10:53:53.4612290Z test_weak 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_weak_1.1_12a30b4303e230e5_.log 2025-12-04T10:53:53.4613469Z Running 0 items in this shard: 2025-12-04T10:53:53.4613692Z 2025-12-04T10:53:53.4613943Z Finished test_weak 1/1 ... [2025-12-04 10:53:53.461067][6034.011039421], took 0.12min 2025-12-04T10:54:00.1133966Z Running test_complex 1/1 ... [2025-12-04 10:54:00.112980][6040.662954551] 2025-12-04T10:54:00.1134567Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:54:00.1137592Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_complex.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:54:00.113436] 2025-12-04T10:54:00.4404731Z Running test_optim 1/1 ... [2025-12-04 10:54:00.440069][6040.990043085] 2025-12-04T10:54:00.4405271Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:54:00.4409198Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_optim.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:54:00.440592] 2025-12-04T10:54:07.0257801Z 2025-12-04T10:54:07.0259093Z test_complex 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_complex_1.1_aeb667e28f1a33ec_.log 2025-12-04T10:54:07.0259907Z Running 0 items in this shard: 2025-12-04T10:54:07.0260145Z 2025-12-04T10:54:07.0260414Z Finished test_complex 1/1 ... [2025-12-04 10:54:07.025742][6047.575717026], took 0.12min 2025-12-04T10:54:07.0591051Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_complex/test_complex-11e024eb0c13309d.xml 2025-12-04T10:54:10.8815123Z 2025-12-04T10:54:10.8816116Z test_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_optim_1.1_6e3c96ac268be4c1_.log 2025-12-04T10:54:10.8816921Z Running 0 items in this shard: 2025-12-04T10:54:10.8817160Z 2025-12-04T10:54:10.8817436Z Finished test_optim 1/1 ... [2025-12-04 10:54:10.881440][6051.43141428], took 0.17min 2025-12-04T10:54:10.9404187Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_optim/test_optim-54bd6b896ac747d4.xml 2025-12-04T10:54:14.2445033Z Running nn/test_packed_sequence 1/1 ... [2025-12-04 10:54:14.244086][6054.794060258] 2025-12-04T10:54:14.2445763Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:54:14.2448475Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_packed_sequence.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:54:14.244558] 2025-12-04T10:54:17.9087684Z Running test_numa_binding 1/1 ... [2025-12-04 10:54:17.908399][6058.458374286] 2025-12-04T10:54:17.9088235Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:54:17.9091533Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_numa_binding.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:54:17.908883] 2025-12-04T10:54:20.8520093Z 2025-12-04T10:54:20.8521482Z nn/test_packed_sequence 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_packed_sequence_1.1_0e90b7a2acc70f4e_.log 2025-12-04T10:54:20.8522464Z Running 0 items in this shard: 2025-12-04T10:54:20.8522684Z 2025-12-04T10:54:20.8523037Z Finished nn/test_packed_sequence 1/1 ... [2025-12-04 10:54:20.852055][6061.402025465], took 0.11min 2025-12-04T10:54:20.8861684Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_packed_sequence/nn.test_packed_sequence-bbc319b04f0b6159.xml 2025-12-04T10:54:24.7121350Z 2025-12-04T10:54:24.7122435Z test_numa_binding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numa_binding_1.1_37eab32587d5783d_.log 2025-12-04T10:54:24.7123475Z Running 0 items in this shard: 2025-12-04T10:54:24.7123714Z 2025-12-04T10:54:24.7124050Z Finished test_numa_binding 1/1 ... [2025-12-04 10:54:24.712217][6065.26218535], took 0.11min 2025-12-04T10:54:24.7467528Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_numa_binding/test_numa_binding-130c24f5ef299fb5.xml 2025-12-04T10:54:28.1711556Z Running test_pruning_op 1/1 ... [2025-12-04 10:54:28.170720][6068.720693033] 2025-12-04T10:54:28.1712326Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:54:28.1717415Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_pruning_op.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:54:28.171278] 2025-12-04T10:54:31.6913452Z Running test_jit_fuser_te 1/1 ... [2025-12-04 10:54:31.690993][6072.240967638] 2025-12-04T10:54:31.6913982Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:54:31.6917891Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_jit_fuser_te.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:54:31.691475] 2025-12-04T10:54:34.7028548Z 2025-12-04T10:54:34.7029804Z test_pruning_op 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_pruning_op_1.1_00bca1cb9a97d446_.log 2025-12-04T10:54:34.7031036Z Running 0 items in this shard: 2025-12-04T10:54:34.7031351Z 2025-12-04T10:54:34.7031785Z Finished test_pruning_op 1/1 ... [2025-12-04 10:54:34.702797][6075.252772034], took 0.11min 2025-12-04T10:54:34.7373509Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_pruning_op/test_pruning_op-e30df8ba52335e10.xml 2025-12-04T10:54:41.8386553Z Running optim/test_swa_utils 1/1 ... [2025-12-04 10:54:41.838244][6082.388218352] 2025-12-04T10:54:41.8387444Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:54:41.8390291Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'optim/test_swa_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:54:41.838704] 2025-12-04T10:54:48.4314150Z 2025-12-04T10:54:48.4315381Z optim/test_swa_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_swa_utils_1.1_0c3ab432a9ae4620_.log 2025-12-04T10:54:48.4316361Z 2025-12-04T10:54:48.4316699Z Finished optim/test_swa_utils 1/1 ... [2025-12-04 10:54:48.431342][6088.981317002], took 0.11min 2025-12-04T10:54:55.3275706Z Running cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 ... [2025-12-04 10:54:55.327079][6095.877052669] 2025-12-04T10:54:55.3277016Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:54:55.3280879Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'cpp_extensions/python_agnostic_extension/test/test_python_agnostic.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:54:55.327611] 2025-12-04T10:54:56.8359970Z 2025-12-04T10:54:56.8361239Z test_jit_fuser_te 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_fuser_te_1.1_7bb97dfa9a6f02bf_.log 2025-12-04T10:54:56.8412044Z Running 150 items in this shard: test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check 2025-12-04T10:54:56.8458946Z 2025-12-04T10:54:56.8459299Z Finished test_jit_fuser_te 1/1 ... [2025-12-04 10:54:56.836114][6097.386086895], took 0.42min 2025-12-04T10:54:56.8709436Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jit_fuser_te/test_jit_fuser_te-c0ecebb6981704e1.xml 2025-12-04T10:55:03.9303085Z Running torch_np/numpy_tests/lib/test_histograms 1/1 ... [2025-12-04 10:55:03.929899][6104.479872718] 2025-12-04T10:55:03.9303746Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:55:03.9306588Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_histograms.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:55:03.930375] 2025-12-04T10:55:09.7022321Z 2025-12-04T10:55:09.7024028Z cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp_extensions.python_agnostic_extension.test.test_python_agnostic_1.1_e5cafc56647b51d7_.log 2025-12-04T10:55:09.7025533Z Running 0 items in this shard: 2025-12-04T10:55:09.7025817Z 2025-12-04T10:55:09.7026417Z Finished cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 ... [2025-12-04 10:55:09.702230][6110.252203607], took 0.24min 2025-12-04T10:55:09.7374506Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/cpp_extensions.python_agnostic_extension.test.test_python_agnostic/cpp_extensions.python_agnostic_extension.test.test_python_agnostic-532e9c8418a4a4d4.xml 2025-12-04T10:55:10.8177546Z 2025-12-04T10:55:10.8179123Z torch_np/numpy_tests/lib/test_histograms 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_histograms_1.1_e34eaa262fc99b44_.log 2025-12-04T10:55:10.8180360Z Running 0 items in this shard: 2025-12-04T10:55:10.8180571Z 2025-12-04T10:55:10.8181083Z Finished torch_np/numpy_tests/lib/test_histograms 1/1 ... [2025-12-04 10:55:10.817714][6111.36768872], took 0.11min 2025-12-04T10:55:10.8533960Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_histograms/torch_np.numpy_tests.lib.test_histograms-7da8d69478191988.xml 2025-12-04T10:55:16.8947454Z Running torch_np/test_indexing 1/1 ... [2025-12-04 10:55:16.894338][6117.444312224] 2025-12-04T10:55:16.8958151Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:55:16.8959725Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_indexing.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:55:16.894787] 2025-12-04T10:55:18.0533201Z Running test_schema_check 1/1 ... [2025-12-04 10:55:18.052917][6118.602890709] 2025-12-04T10:55:18.0533792Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:55:18.0536738Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_schema_check.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:55:18.053376] 2025-12-04T10:55:23.5999809Z 2025-12-04T10:55:23.6001163Z torch_np/test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_indexing_1.1_21b8368487e25cfe_.log 2025-12-04T10:55:23.6002114Z Running 0 items in this shard: 2025-12-04T10:55:23.6002345Z 2025-12-04T10:55:23.6002697Z Finished torch_np/test_indexing 1/1 ... [2025-12-04 10:55:23.599899][6124.149873236], took 0.11min 2025-12-04T10:55:23.6353959Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_indexing/torch_np.test_indexing-d3401732d7c70d75.xml 2025-12-04T10:55:38.9788769Z 2025-12-04T10:55:38.9789769Z test_schema_check 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_schema_check_1.1_4dfae86e3576342d_.log 2025-12-04T10:55:38.9790720Z Running 0 items in this shard: 2025-12-04T10:55:38.9790933Z 2025-12-04T10:55:38.9791245Z Finished test_schema_check 1/1 ... [2025-12-04 10:55:38.978769][6139.528744447], took 0.35min 2025-12-04T10:55:39.0146049Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_schema_check/test_schema_check-82e4ada94ff2f182.xml 2025-12-04T10:55:40.0294346Z Running test batch 'tests to run' cost 4207.21 seconds 2025-12-04T10:55:40.0309350Z Emitting td_test_failure_stats_v2 2025-12-04T10:55:40.0312896Z Writing 1 documents to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764845740_c5af1c42d0ff11f0a7af0242ac110002 2025-12-04T10:55:40.1323407Z Done! Finish writing document to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764845740_c5af1c42d0ff11f0a7af0242ac110002 2025-12-04T10:55:40.1339027Z Emitting td_test_failure_stats_v2 2025-12-04T10:55:40.1341663Z Writing 1 documents to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764845740_c5becf3ed0ff11f0a7af0242ac110002 2025-12-04T10:55:40.1661802Z Done! 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Finish writing document to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764845740_c5ddce70d0ff11f0a7af0242ac110002 2025-12-04T10:55:40.3724448Z inductor/test_flex_attention 1/1 failed! 2025-12-04T10:55:40.3724822Z test_ci_sanity_check_fail 1/1 failed! 2025-12-04T10:55:40.3725281Z test_torch 1/1 failed! 2025-12-04T10:55:40.3725579Z test_fake_tensor 1/1 failed! 2025-12-04T10:55:40.3725889Z test_decomp 1/17 failed! 2025-12-04T10:55:40.3726219Z inductor/test_compiled_autograd 1/1 failed! 2025-12-04T10:55:40.3726614Z inductor/test_cudacodecache 1/1 failed! 2025-12-04T10:55:41.6980578Z 2025-12-04T10:55:41.6981052Z real 70m16.055s 2025-12-04T10:55:41.6981367Z user 93m34.210s 2025-12-04T10:55:41.6981978Z sys 24m2.727s 2025-12-04T10:55:41.6982240Z + assert_git_not_dirty 2025-12-04T10:55:41.6982644Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 != *rocm* ]] 2025-12-04T10:55:41.6983180Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 != *xla* ]] 2025-12-04T10:55:41.6987775Z ++ git status --porcelain 2025-12-04T10:55:41.6988627Z ++ grep -v '?? third_party' 2025-12-04T10:55:46.1297640Z ++ true 2025-12-04T10:55:46.1297945Z + git_status= 2025-12-04T10:55:46.1298278Z + [[ -n '' ]] 2025-12-04T10:55:46.1298520Z + test_aten 2025-12-04T10:55:46.1298802Z + echo 'Running ATen tests with pytorch lib' 2025-12-04T10:55:46.1299276Z Running ATen tests with pytorch lib 2025-12-04T10:55:46.1299637Z + [[ -n '' ]] 2025-12-04T10:55:46.1299986Z + echo 'Running test with the build folder' 2025-12-04T10:55:46.1300538Z Running test with the build folder 2025-12-04T10:55:46.1300914Z + TEST_BASE_DIR=build/bin 2025-12-04T10:55:46.1302448Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10_cuda.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10d_cuda_test.so build/bin 2025-12-04T10:55:46.1315490Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libcaffe2_nvrtc.so build/bin 2025-12-04T10:55:46.1327968Z + ln -sf '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libmkldnn*' build/bin 2025-12-04T10:55:46.1339905Z + ln -sf '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libnccl*' build/bin 2025-12-04T10:55:46.1354562Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_cuda_linalg.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_python.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorchbind_test.so build/bin 2025-12-04T10:55:46.1364269Z + ls build/bin 2025-12-04T10:55:46.1382251Z BackoffTest 2025-12-04T10:55:46.1382613Z CppSignature_test 2025-12-04T10:55:46.1382872Z Dict_test 2025-12-04T10:55:46.1383234Z Dimname_test 2025-12-04T10:55:46.1383676Z FileStoreTest 2025-12-04T10:55:46.1384141Z HashStoreTest 2025-12-04T10:55:46.1384504Z IListRef_test 2025-12-04T10:55:46.1384754Z KernelFunction_test 2025-12-04T10:55:46.1385028Z List_test 2025-12-04T10:55:46.1385323Z MaybeOwned_test 2025-12-04T10:55:46.1385718Z NamedTensor_test 2025-12-04T10:55:46.1386024Z ProcessGroupGlooAsyncTest 2025-12-04T10:55:46.1386488Z ProcessGroupGlooTest 2025-12-04T10:55:46.1386919Z ProcessGroupMPITest 2025-12-04T10:55:46.1387345Z ProcessGroupNCCLErrorsTest 2025-12-04T10:55:46.1387892Z ProcessGroupNCCLTest 2025-12-04T10:55:46.1388340Z StorageUtils_test 2025-12-04T10:55:46.1388775Z TCPStoreTest 2025-12-04T10:55:46.1389203Z apply_utils_test 2025-12-04T10:55:46.1389637Z atest 2025-12-04T10:55:46.1389975Z backend_fallback_test 2025-12-04T10:55:46.1390263Z basic 2025-12-04T10:55:46.1390553Z broadcast_test 2025-12-04T10:55:46.1390906Z c10_AllocatorConfig_test 2025-12-04T10:55:46.1391406Z c10_ArrayRef_test 2025-12-04T10:55:46.1391804Z c10_Bitset_test 2025-12-04T10:55:46.1392249Z c10_CompileTimeFunctionPointer_test 2025-12-04T10:55:46.1392790Z c10_ConstexprCrc_test 2025-12-04T10:55:46.1393220Z c10_DeadlockDetection_test 2025-12-04T10:55:46.1393758Z c10_DeviceGuard_test 2025-12-04T10:55:46.1394266Z c10_Device_test 2025-12-04T10:55:46.1394758Z c10_DispatchKeySet_test 2025-12-04T10:55:46.1395432Z c10_Enumerate_test 2025-12-04T10:55:46.1396123Z c10_Half_test 2025-12-04T10:55:46.1396634Z c10_InlineDeviceGuard_test 2025-12-04T10:55:46.1397277Z c10_InlineStreamGuard_test 2025-12-04T10:55:46.1397919Z c10_IntrusiveList_test 2025-12-04T10:55:46.1398478Z c10_LeftRight_test 2025-12-04T10:55:46.1399311Z c10_NetworkFlow_test 2025-12-04T10:55:46.1399856Z c10_Scalar_test 2025-12-04T10:55:46.1400516Z c10_Semaphore_test 2025-12-04T10:55:46.1401196Z c10_SizesAndStrides_test 2025-12-04T10:55:46.1401738Z c10_StreamGuard_test 2025-12-04T10:55:46.1402063Z c10_SymInt_test 2025-12-04T10:55:46.1402329Z c10_Synchronized_test 2025-12-04T10:55:46.1402613Z c10_ThreadLocal_test 2025-12-04T10:55:46.1402884Z c10_TypeIndex_test 2025-12-04T10:55:46.1403149Z c10_accumulate_test 2025-12-04T10:55:46.1403425Z c10_bfloat16_test 2025-12-04T10:55:46.1403676Z c10_bit_cast_test 2025-12-04T10:55:46.1403941Z c10_complex_math_test 2025-12-04T10:55:46.1404219Z c10_complex_test 2025-12-04T10:55:46.1404465Z c10_cow_test 2025-12-04T10:55:46.1404742Z c10_cuda_CUDAAssertionsTest_1_var_test 2025-12-04T10:55:46.1405144Z c10_cuda_CUDAAssertionsTest_catches_stream 2025-12-04T10:55:46.1405646Z c10_cuda_CUDAAssertionsTest_catches_thread_and_block_and_device 2025-12-04T10:55:46.1406152Z c10_cuda_CUDAAssertionsTest_from_2_processes 2025-12-04T10:55:46.1406696Z c10_cuda_CUDAAssertionsTest_multiple_writes_from_blocks_and_threads 2025-12-04T10:55:46.1407319Z c10_cuda_CUDAAssertionsTest_multiple_writes_from_multiple_blocks 2025-12-04T10:55:46.1408077Z c10_cuda_CUDAAssertionsTest_multiple_writes_from_same_block 2025-12-04T10:55:46.1408496Z c10_cuda_CUDATest 2025-12-04T10:55:46.1408753Z c10_error_test 2025-12-04T10:55:46.1409006Z c10_exception_test 2025-12-04T10:55:46.1409248Z c10_flags_test 2025-12-04T10:55:46.1409503Z c10_generic_math_test 2025-12-04T10:55:46.1409785Z c10_intrusive_ptr_benchmark 2025-12-04T10:55:46.1410088Z c10_intrusive_ptr_test 2025-12-04T10:55:46.1410356Z c10_irange_test 2025-12-04T10:55:46.1410705Z c10_lazy_test 2025-12-04T10:55:46.1410934Z c10_logging_test 2025-12-04T10:55:46.1411187Z c10_nofatal_test 2025-12-04T10:55:46.1411440Z c10_optional_test 2025-12-04T10:55:46.1411707Z c10_ordered_preserving_dict_test 2025-12-04T10:55:46.1412025Z c10_registry_test 2025-12-04T10:55:46.1412285Z c10_small_vector_test 2025-12-04T10:55:46.1412549Z c10_ssize_test 2025-12-04T10:55:46.1412785Z c10_string_util_test 2025-12-04T10:55:46.1413057Z c10_string_view_test 2025-12-04T10:55:46.1413328Z c10_tempfile_test 2025-12-04T10:55:46.1413566Z c10_typeid_test 2025-12-04T10:55:46.1413818Z cpu_allocator_test 2025-12-04T10:55:46.1414079Z cpu_generator_test 2025-12-04T10:55:46.1414343Z cpu_profiling_allocator_test 2025-12-04T10:55:46.1414647Z cpu_rng_test 2025-12-04T10:55:46.1414916Z cuda_allocatorTraceTracker_test 2025-12-04T10:55:46.1415230Z cuda_allocator_test 2025-12-04T10:55:46.1415499Z cuda_apply_test 2025-12-04T10:55:46.1415754Z cuda_atomic_ops_test 2025-12-04T10:55:46.1416031Z cuda_caching_host_allocator_test 2025-12-04T10:55:46.1416357Z cuda_complex_math_test 2025-12-04T10:55:46.1416634Z cuda_complex_test 2025-12-04T10:55:46.1416878Z cuda_cub_test 2025-12-04T10:55:46.1417138Z cuda_cublas_handle_pool_test 2025-12-04T10:55:46.1417446Z cuda_cudnn_test 2025-12-04T10:55:46.1417685Z cuda_device_test 2025-12-04T10:55:46.1417955Z cuda_distributions_test 2025-12-04T10:55:46.1418252Z cuda_dlconvertor_test 2025-12-04T10:55:46.1418510Z cuda_event_test 2025-12-04T10:55:46.1418771Z cuda_exchange_device_test 2025-12-04T10:55:46.1419064Z cuda_generator_test 2025-12-04T10:55:46.1419313Z cuda_half_test 2025-12-04T10:55:46.1419572Z cuda_integer_divider_test 2025-12-04T10:55:46.1419863Z cuda_optional_test 2025-12-04T10:55:46.1420143Z cuda_packedtensoraccessor_test 2025-12-04T10:55:46.1420466Z cuda_reportMemoryUsage_test 2025-12-04T10:55:46.1420770Z cuda_stream_test 2025-12-04T10:55:46.1421031Z cuda_vectorized_test 2025-12-04T10:55:46.1421291Z dlconvertor_test 2025-12-04T10:55:46.1421551Z example_allreduce 2025-12-04T10:55:46.1421820Z extension_backend_test 2025-12-04T10:55:46.1422083Z half_test 2025-12-04T10:55:46.1422317Z inline_container_test 2025-12-04T10:55:46.1422586Z ivalue_test 2025-12-04T10:55:46.1422824Z kernel_function_legacy_test 2025-12-04T10:55:46.1423127Z kernel_function_test 2025-12-04T10:55:46.1423539Z kernel_lambda_legacy_test 2025-12-04T10:55:46.1423830Z kernel_lambda_test 2025-12-04T10:55:46.1424099Z kernel_stackbased_test 2025-12-04T10:55:46.1424429Z lazy_tensor_test 2025-12-04T10:55:46.1424674Z legacy_vmap_test 2025-12-04T10:55:46.1424920Z libc10.so 2025-12-04T10:55:46.1425153Z libc10_cuda.so 2025-12-04T10:55:46.1425390Z libc10d_cuda_test.so 2025-12-04T10:55:46.1425661Z libcaffe2_nvrtc.so 2025-12-04T10:55:46.1425914Z 'libmkldnn*' 2025-12-04T10:55:46.1426138Z 'libnccl*' 2025-12-04T10:55:46.1426362Z libtorch.so 2025-12-04T10:55:46.1426599Z libtorch_cpu.so 2025-12-04T10:55:46.1426838Z libtorch_cuda.so 2025-12-04T10:55:46.1427096Z libtorch_cuda_linalg.so 2025-12-04T10:55:46.1427390Z libtorch_global_deps.so 2025-12-04T10:55:46.1427660Z libtorch_python.so 2025-12-04T10:55:46.1427928Z libtorchbind_test.so 2025-12-04T10:55:46.1428229Z make_boxed_from_unboxed_functor_test 2025-12-04T10:55:46.1428562Z math_kernel_test 2025-12-04T10:55:46.1428805Z memory_format_test 2025-12-04T10:55:46.1429081Z memory_overlapping_test 2025-12-04T10:55:46.1429376Z mobile_memory_cleanup 2025-12-04T10:55:46.1429629Z native_test 2025-12-04T10:55:46.1429872Z op_allowlist_test 2025-12-04T10:55:46.1430140Z op_registration_test 2025-12-04T10:55:46.1430412Z operator_name_test 2025-12-04T10:55:46.1430656Z operators_test 2025-12-04T10:55:46.1430930Z packedtensoraccessor_test 2025-12-04T10:55:46.1431231Z parallel_benchmark 2025-12-04T10:55:46.1431471Z pow_test 2025-12-04T10:55:46.1431696Z protoc 2025-12-04T10:55:46.1431924Z protoc-3.13.0.0 2025-12-04T10:55:46.1432167Z quantized_test 2025-12-04T10:55:46.1432415Z reduce_ops_test 2025-12-04T10:55:46.1432679Z reportMemoryUsage_test 2025-12-04T10:55:46.1432997Z scalar_tensor_test 2025-12-04T10:55:46.1433259Z scalar_test 2025-12-04T10:55:46.1433512Z stride_properties_test 2025-12-04T10:55:46.1433787Z tensor_iterator_test 2025-12-04T10:55:46.1434064Z test_aoti_abi_check 2025-12-04T10:55:46.1434326Z test_api 2025-12-04T10:55:46.1434544Z test_cpp_rpc 2025-12-04T10:55:46.1434796Z test_dist_autograd 2025-12-04T10:55:46.1435041Z test_jit 2025-12-04T10:55:46.1435354Z test_lazy 2025-12-04T10:55:46.1435773Z test_parallel 2025-12-04T10:55:46.1436031Z test_vec_half_AVX2 2025-12-04T10:55:46.1436285Z test_vec_half_AVX512 2025-12-04T10:55:46.1436568Z test_vec_half_DEFAULT 2025-12-04T10:55:46.1436842Z thread_init_test 2025-12-04T10:55:46.1437104Z torch_shm_manager 2025-12-04T10:55:46.1437351Z type_ptr_test 2025-12-04T10:55:46.1437597Z type_test 2025-12-04T10:55:46.1437842Z undefined_tensor_test 2025-12-04T10:55:46.1438117Z vec_test_all_types_AVX2 2025-12-04T10:55:46.1438418Z vec_test_all_types_AVX512 2025-12-04T10:55:46.1438733Z vec_test_all_types_DEFAULT 2025-12-04T10:55:46.1439027Z verify_api_visibility 2025-12-04T10:55:46.1439302Z weakref_test 2025-12-04T10:55:46.1439550Z wrapdim_test 2025-12-04T10:55:46.1439783Z xla_tensor_test 2025-12-04T10:55:46.1440062Z + aten/tools/run_tests.sh build/bin 2025-12-04T10:55:46.1440397Z + set -e 2025-12-04T10:55:46.1440661Z ++ dirname aten/tools/run_tests.sh 2025-12-04T10:55:46.1441132Z + VALGRIND_SUP=/var/lib/jenkins/workspace/aten/tools/valgrind.sup 2025-12-04T10:55:46.1441629Z + export CPP_TESTS_DIR=build/bin 2025-12-04T10:55:46.1441951Z + CPP_TESTS_DIR=build/bin 2025-12-04T10:55:46.1442253Z + VALGRIND=ON 2025-12-04T10:55:46.1444330Z + python test/run_test.py --cpp --verbose -i cpp/basic cpp/atest cpp/scalar_test cpp/broadcast_test cpp/wrapdim_test cpp/apply_utils_test cpp/dlconvertor_test cpp/native_test cpp/scalar_tensor_test cpp/undefined_tensor_test cpp/extension_backend_test cpp/lazy_tensor_test cpp/tensor_iterator_test cpp/Dimname_test cpp/Dict_test cpp/NamedTensor_test cpp/cpu_generator_test cpp/legacy_vmap_test cpp/operators_test 2025-12-04T10:55:53.0321652Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T10:55:53.0433776Z Found test times from artifacts 2025-12-04T10:55:53.0868008Z Found test times from artifacts 2025-12-04T10:55:53.0881732Z Running all tests 2025-12-04T10:55:53.0886985Z Running parallel tests on 2 processes 2025-12-04T10:55:53.0889251Z Name: tests to run (est. time: 0.0min) 2025-12-04T10:55:53.0889688Z Serial tests (0): 2025-12-04T10:55:53.0889969Z Parallel tests (19): 2025-12-04T10:55:53.0890278Z cpp/Dict_test 1/1 2025-12-04T10:55:53.0890547Z cpp/Dimname_test 1/1 2025-12-04T10:55:53.0890850Z cpp/NamedTensor_test 1/1 2025-12-04T10:55:53.0891170Z cpp/apply_utils_test 1/1 2025-12-04T10:55:53.0891456Z cpp/atest 1/1 2025-12-04T10:55:53.0891711Z cpp/basic 1/1 2025-12-04T10:55:53.0891973Z cpp/broadcast_test 1/1 2025-12-04T10:55:53.0892278Z cpp/cpu_generator_test 1/1 2025-12-04T10:55:53.0892597Z cpp/dlconvertor_test 1/1 2025-12-04T10:55:53.0892919Z cpp/extension_backend_test 1/1 2025-12-04T10:55:53.0893243Z cpp/lazy_tensor_test 1/1 2025-12-04T10:55:53.0893555Z cpp/legacy_vmap_test 1/1 2025-12-04T10:55:53.0893855Z cpp/native_test 1/1 2025-12-04T10:55:53.0894150Z cpp/operators_test 1/1 2025-12-04T10:55:53.0894443Z cpp/scalar_tensor_test 1/1 2025-12-04T10:55:53.0894810Z cpp/scalar_test 1/1 2025-12-04T10:55:53.0895115Z cpp/tensor_iterator_test 1/1 2025-12-04T10:55:53.0895430Z cpp/undefined_tensor_test 1/1 2025-12-04T10:55:53.0895840Z cpp/wrapdim_test 1/1 2025-12-04T10:55:53.0896141Z Name: excluded (est. time: 0.0min) 2025-12-04T10:55:53.0896517Z Serial tests (0): 2025-12-04T10:55:53.0896784Z Parallel tests (0): 2025-12-04T10:55:53.0897272Z Running cpp/Dict_test 1/1 ... [2025-12-04 10:55:53.089394][6153.639372167] 2025-12-04T10:55:53.0897752Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:55:53.0898315Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:55:53.0898936Z Finished cpp/Dict_test 1/1 ... [2025-12-04 10:55:53.089583][6153.639563119], took 0.00min 2025-12-04T10:55:53.6339906Z Uploading artifacts took 0.51 seconds 2025-12-04T10:55:53.6340508Z Running cpp/Dimname_test 1/1 ... [2025-12-04 10:55:53.633797][6154.183772904] 2025-12-04T10:55:53.6341009Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:55:53.6341460Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:55:53.6342106Z Finished cpp/Dimname_test 1/1 ... [2025-12-04 10:55:53.633958][6154.183938959], took 0.00min 2025-12-04T10:55:53.6692770Z Running cpp/NamedTensor_test 1/1 ... [2025-12-04 10:55:53.669093][6154.219070653] 2025-12-04T10:55:53.6693425Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:55:53.6693873Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:55:53.6694529Z Finished cpp/NamedTensor_test 1/1 ... [2025-12-04 10:55:53.669256][6154.219236671], took 0.00min 2025-12-04T10:55:53.7038191Z Running cpp/apply_utils_test 1/1 ... [2025-12-04 10:55:53.703623][6154.25360162] 2025-12-04T10:55:53.7038761Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:55:53.7039226Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:55:53.7039891Z Finished cpp/apply_utils_test 1/1 ... [2025-12-04 10:55:53.703780][6154.253760517], took 0.00min 2025-12-04T10:55:53.7380071Z Running cpp/atest 1/1 ... [2025-12-04 10:55:53.737840][6154.287818715] 2025-12-04T10:55:53.7380629Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:55:53.7381435Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:55:53.7382085Z Finished cpp/atest 1/1 ... [2025-12-04 10:55:53.737991][6154.287971551], took 0.00min 2025-12-04T10:55:53.7718820Z Running cpp/basic 1/1 ... [2025-12-04 10:55:53.771717][6154.321696077] 2025-12-04T10:55:53.7719449Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:55:53.7719928Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:55:53.7720648Z Finished cpp/basic 1/1 ... [2025-12-04 10:55:53.771875][6154.321855931], took 0.00min 2025-12-04T10:55:53.8054495Z Running cpp/broadcast_test 1/1 ... [2025-12-04 10:55:53.805278][6154.355256812] 2025-12-04T10:55:53.8055065Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:55:53.8055844Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:55:53.8056488Z Finished cpp/broadcast_test 1/1 ... [2025-12-04 10:55:53.805426][6154.355406456], took 0.00min 2025-12-04T10:55:53.8392109Z Running cpp/cpu_generator_test 1/1 ... [2025-12-04 10:55:53.839026][6154.389005239] 2025-12-04T10:55:53.8392730Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:55:53.8393251Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:55:53.8393899Z Finished cpp/cpu_generator_test 1/1 ... [2025-12-04 10:55:53.839176][6154.389156468], took 0.00min 2025-12-04T10:55:53.8727868Z Running cpp/dlconvertor_test 1/1 ... [2025-12-04 10:55:53.872597][6154.422576119] 2025-12-04T10:55:53.8728466Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:55:53.8728954Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:55:53.8729619Z Finished cpp/dlconvertor_test 1/1 ... [2025-12-04 10:55:53.872760][6154.422741023], took 0.00min 2025-12-04T10:55:53.9064183Z Running cpp/extension_backend_test 1/1 ... [2025-12-04 10:55:53.906230][6154.456209224] 2025-12-04T10:55:53.9064795Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:55:53.9065316Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:55:53.9065984Z Finished cpp/extension_backend_test 1/1 ... [2025-12-04 10:55:53.906378][6154.456359327], took 0.00min 2025-12-04T10:55:53.9404531Z Running cpp/lazy_tensor_test 1/1 ... [2025-12-04 10:55:53.940269][6154.490247567] 2025-12-04T10:55:53.9405132Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:55:53.9405646Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:55:53.9406309Z Finished cpp/lazy_tensor_test 1/1 ... [2025-12-04 10:55:53.940421][6154.490401495], took 0.00min 2025-12-04T10:55:53.9740302Z Running cpp/legacy_vmap_test 1/1 ... [2025-12-04 10:55:53.973839][6154.52381839] 2025-12-04T10:55:53.9740877Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:55:53.9741383Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:55:53.9742040Z Finished cpp/legacy_vmap_test 1/1 ... [2025-12-04 10:55:53.973987][6154.523968139], took 0.00min 2025-12-04T10:55:54.0076801Z Running cpp/native_test 1/1 ... [2025-12-04 10:55:54.007429][6154.557408163] 2025-12-04T10:55:54.0077333Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:55:54.0077847Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:55:54.0078489Z Finished cpp/native_test 1/1 ... [2025-12-04 10:55:54.007605][6154.557585823], took 0.00min 2025-12-04T10:55:54.0415748Z Running cpp/operators_test 1/1 ... [2025-12-04 10:55:54.041368][6154.591346172] 2025-12-04T10:55:54.0416309Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:55:54.0416825Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:55:54.0417466Z Finished cpp/operators_test 1/1 ... [2025-12-04 10:55:54.041529][6154.591510242], took 0.00min 2025-12-04T10:55:54.0755160Z Running cpp/scalar_tensor_test 1/1 ... [2025-12-04 10:55:54.075251][6154.625227684] 2025-12-04T10:55:54.0755875Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:55:54.0756336Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:55:54.0757024Z Finished cpp/scalar_tensor_test 1/1 ... [2025-12-04 10:55:54.075420][6154.625400835], took 0.00min 2025-12-04T10:55:54.1097700Z Running cpp/scalar_test 1/1 ... [2025-12-04 10:55:54.109532][6154.659507993] 2025-12-04T10:55:54.1098182Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:55:54.1098629Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:55:54.1099254Z Finished cpp/scalar_test 1/1 ... [2025-12-04 10:55:54.109703][6154.659683494], took 0.00min 2025-12-04T10:55:54.1439387Z Running cpp/tensor_iterator_test 1/1 ... [2025-12-04 10:55:54.143718][6154.693694174] 2025-12-04T10:55:54.1439939Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:55:54.1440402Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:55:54.1441349Z Finished cpp/tensor_iterator_test 1/1 ... [2025-12-04 10:55:54.143887][6154.693867485], took 0.00min 2025-12-04T10:55:54.1781623Z Running cpp/undefined_tensor_test 1/1 ... [2025-12-04 10:55:54.177942][6154.727918955] 2025-12-04T10:55:54.1782274Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:55:54.1782726Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:55:54.1783404Z Finished cpp/undefined_tensor_test 1/1 ... [2025-12-04 10:55:54.178110][6154.72809041], took 0.00min 2025-12-04T10:55:54.2123093Z Running cpp/wrapdim_test 1/1 ... [2025-12-04 10:55:54.212064][6154.762040738] 2025-12-04T10:55:54.2123634Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:55:54.2124090Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:55:54.2124774Z Finished cpp/wrapdim_test 1/1 ... [2025-12-04 10:55:54.212234][6154.762214047], took 0.00min 2025-12-04T10:56:00.3652088Z Running cpp/Dict_test 1/1 ... [2025-12-04 10:56:00.364812][6160.914787156] 2025-12-04T10:56:00.3652626Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:56:00.3653095Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:56:00.3653719Z Finished cpp/Dict_test 1/1 ... [2025-12-04 10:56:00.365008][6160.914988176], took 0.00min 2025-12-04T10:56:00.4018527Z Running cpp/Dimname_test 1/1 ... [2025-12-04 10:56:00.401495][6160.951469019] 2025-12-04T10:56:00.4019058Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:56:00.4019525Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:56:00.4020171Z Finished cpp/Dimname_test 1/1 ... [2025-12-04 10:56:00.401700][6160.951678858], took 0.00min 2025-12-04T10:56:07.5422959Z Running cpp/NamedTensor_test 1/1 ... [2025-12-04 10:56:07.541926][6168.091900658] 2025-12-04T10:56:07.5423885Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:56:07.5424415Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:56:07.5425132Z Finished cpp/NamedTensor_test 1/1 ... [2025-12-04 10:56:07.542126][6168.092106465], took 0.00min 2025-12-04T10:56:07.6086992Z Running cpp/apply_utils_test 1/1 ... [2025-12-04 10:56:07.608348][6168.158322209] 2025-12-04T10:56:07.6087690Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:56:07.6088160Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:56:07.6088798Z Finished cpp/apply_utils_test 1/1 ... [2025-12-04 10:56:07.608549][6168.1585297], took 0.00min 2025-12-04T10:56:14.7682395Z Running cpp/atest 1/1 ... [2025-12-04 10:56:14.767845][6175.317819125] 2025-12-04T10:56:14.7683083Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:56:14.7683785Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:56:14.7684595Z Finished cpp/atest 1/1 ... [2025-12-04 10:56:14.768045][6175.318025064], took 0.00min 2025-12-04T10:56:14.8036936Z Running cpp/basic 1/1 ... [2025-12-04 10:56:14.803368][6175.353342896] 2025-12-04T10:56:14.8037546Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:56:14.8038093Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:56:14.8039091Z Finished cpp/basic 1/1 ... [2025-12-04 10:56:14.803603][6175.353580955], took 0.00min 2025-12-04T10:56:21.8839661Z Running cpp/broadcast_test 1/1 ... [2025-12-04 10:56:21.883494][6182.433468942] 2025-12-04T10:56:21.8840709Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:56:21.8841263Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:56:21.8842094Z Finished cpp/broadcast_test 1/1 ... [2025-12-04 10:56:21.883724][6182.433704188], took 0.00min 2025-12-04T10:56:21.9449489Z Running cpp/cpu_generator_test 1/1 ... [2025-12-04 10:56:21.944587][6182.494561168] 2025-12-04T10:56:21.9450158Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:56:21.9450606Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:56:21.9451376Z Finished cpp/cpu_generator_test 1/1 ... [2025-12-04 10:56:21.944814][6182.494793643], took 0.00min 2025-12-04T10:56:29.0913463Z Running cpp/dlconvertor_test 1/1 ... [2025-12-04 10:56:29.090953][6189.640927533] 2025-12-04T10:56:29.0914038Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:56:29.0914806Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:56:29.0915731Z Finished cpp/dlconvertor_test 1/1 ... [2025-12-04 10:56:29.091152][6189.641132808], took 0.00min 2025-12-04T10:56:29.1087416Z Running cpp/extension_backend_test 1/1 ... [2025-12-04 10:56:29.108457][6189.658431688] 2025-12-04T10:56:29.1087974Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:56:29.1088428Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:56:29.1089111Z Finished cpp/extension_backend_test 1/1 ... [2025-12-04 10:56:29.108676][6189.658655905], took 0.00min 2025-12-04T10:56:36.2599147Z Running cpp/lazy_tensor_test 1/1 ... [2025-12-04 10:56:36.259489][6196.809464298] 2025-12-04T10:56:36.2599766Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:56:36.2600358Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:56:36.2601023Z Finished cpp/lazy_tensor_test 1/1 ... [2025-12-04 10:56:36.259723][6196.809702175], took 0.00min 2025-12-04T10:56:36.2603245Z Running cpp/legacy_vmap_test 1/1 ... [2025-12-04 10:56:36.260113][6196.8100878] 2025-12-04T10:56:36.2603917Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:56:36.2604630Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:56:36.2605290Z Finished cpp/legacy_vmap_test 1/1 ... [2025-12-04 10:56:36.260309][6196.810289553], took 0.00min 2025-12-04T10:56:43.4203119Z Running cpp/native_test 1/1 ... [2025-12-04 10:56:43.419899][6203.969873719] 2025-12-04T10:56:43.4203690Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:56:43.4204152Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:56:43.4204808Z Finished cpp/native_test 1/1 ... [2025-12-04 10:56:43.420127][6203.970106722], took 0.00min 2025-12-04T10:56:43.4562153Z Running cpp/operators_test 1/1 ... [2025-12-04 10:56:43.455922][6204.005896823] 2025-12-04T10:56:43.4562848Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:56:43.4563340Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:56:43.4564006Z Finished cpp/operators_test 1/1 ... [2025-12-04 10:56:43.456153][6204.006131621], took 0.00min 2025-12-04T10:56:50.5443172Z Running cpp/scalar_tensor_test 1/1 ... [2025-12-04 10:56:50.543914][6211.093889004] 2025-12-04T10:56:50.5443784Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:56:50.5444248Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:56:50.5444922Z Finished cpp/scalar_tensor_test 1/1 ... [2025-12-04 10:56:50.544154][6211.094132631], took 0.00min 2025-12-04T10:56:50.6198169Z Running cpp/scalar_test 1/1 ... [2025-12-04 10:56:50.619407][6211.169382158] 2025-12-04T10:56:50.6198708Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:56:50.6199194Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:56:50.6199828Z Finished cpp/scalar_test 1/1 ... [2025-12-04 10:56:50.619663][6211.169640552], took 0.00min 2025-12-04T10:56:57.6059941Z Running cpp/tensor_iterator_test 1/1 ... [2025-12-04 10:56:57.605571][6218.155545611] 2025-12-04T10:56:57.6060573Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:56:57.6061029Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:56:57.6061712Z Finished cpp/tensor_iterator_test 1/1 ... [2025-12-04 10:56:57.605788][6218.155766734], took 0.00min 2025-12-04T10:56:57.6689272Z Running cpp/undefined_tensor_test 1/1 ... [2025-12-04 10:56:57.668556][6218.218529938] 2025-12-04T10:56:57.6689839Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:56:57.6690294Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:56:57.6690978Z Finished cpp/undefined_tensor_test 1/1 ... [2025-12-04 10:56:57.668802][6218.218781007], took 0.00min 2025-12-04T10:57:04.6802448Z Running cpp/wrapdim_test 1/1 ... [2025-12-04 10:57:04.679849][6225.229823502] 2025-12-04T10:57:04.6803024Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:57:04.6803477Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:57:04.6804502Z Finished cpp/wrapdim_test 1/1 ... [2025-12-04 10:57:04.680070][6225.230049798], took 0.00min 2025-12-04T10:57:05.6718516Z Running test batch 'tests to run' cost 72.58 seconds 2025-12-04T10:57:06.4075332Z + run_if_exists tensor_interop_test 2025-12-04T10:57:06.4075964Z + local test_name=tensor_interop_test 2025-12-04T10:57:06.4076339Z + [[ -x build/bin/tensor_interop_test ]] 2025-12-04T10:57:06.4076765Z + echo 'Warning: tensor_interop_test does not exist.' 2025-12-04T10:57:06.4077223Z Warning: tensor_interop_test does not exist. 2025-12-04T10:57:06.4077597Z + run_if_exists cudnn_test 2025-12-04T10:57:06.4077909Z + local test_name=cudnn_test 2025-12-04T10:57:06.4078233Z + [[ -x build/bin/cudnn_test ]] 2025-12-04T10:57:06.4078610Z + echo 'Warning: cudnn_test does not exist.' 2025-12-04T10:57:06.4078998Z Warning: cudnn_test does not exist. 2025-12-04T10:57:06.4079352Z + run_if_exists cuda_generator_test 2025-12-04T10:57:06.4079709Z + local test_name=cuda_generator_test 2025-12-04T10:57:06.4080064Z + [[ -x build/bin/cuda_generator_test ]] 2025-12-04T10:57:06.4080574Z + python test/run_test.py --cpp --verbose -i cpp/cuda_generator_test 2025-12-04T10:57:13.3967886Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T10:57:13.4079488Z Found test times from artifacts 2025-12-04T10:57:13.4517291Z Found test times from artifacts 2025-12-04T10:57:13.4531688Z Running all tests 2025-12-04T10:57:13.4535738Z Running parallel tests on 2 processes 2025-12-04T10:57:13.4536179Z Name: tests to run (est. time: 0.0min) 2025-12-04T10:57:13.4536531Z Serial tests (0): 2025-12-04T10:57:13.4536790Z Parallel tests (1): 2025-12-04T10:57:13.4537382Z cpp/cuda_generator_test 1/1 2025-12-04T10:57:13.4537718Z Name: excluded (est. time: 0.0min) 2025-12-04T10:57:13.4538031Z Serial tests (0): 2025-12-04T10:57:13.4538299Z Parallel tests (0): 2025-12-04T10:57:13.4538830Z Running cpp/cuda_generator_test 1/1 ... [2025-12-04 10:57:13.453647][6234.003625825] 2025-12-04T10:57:13.4539377Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:57:13.4539827Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:57:13.4540497Z Finished cpp/cuda_generator_test 1/1 ... [2025-12-04 10:57:13.453812][6234.003792728], took 0.00min 2025-12-04T10:57:14.0328493Z Uploading artifacts took 0.54 seconds 2025-12-04T10:57:20.1469257Z Running cpp/cuda_generator_test 1/1 ... [2025-12-04 10:57:20.146522][6240.696497626] 2025-12-04T10:57:20.1470034Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:57:20.1470484Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:57:20.1471160Z Finished cpp/cuda_generator_test 1/1 ... [2025-12-04 10:57:20.146720][6240.69670051], took 0.00min 2025-12-04T10:57:21.1456998Z Running test batch 'tests to run' cost 7.69 seconds 2025-12-04T10:57:21.8979417Z + run_if_exists apply_test 2025-12-04T10:57:21.8979798Z + local test_name=apply_test 2025-12-04T10:57:21.8980133Z + [[ -x build/bin/apply_test ]] 2025-12-04T10:57:21.8980517Z + echo 'Warning: apply_test does not exist.' 2025-12-04T10:57:21.8980895Z Warning: apply_test does not exist. 2025-12-04T10:57:21.8981234Z + run_if_exists stream_test 2025-12-04T10:57:21.8981551Z + local test_name=stream_test 2025-12-04T10:57:21.8981859Z + [[ -x build/bin/stream_test ]] 2025-12-04T10:57:21.8982205Z + echo 'Warning: stream_test does not exist.' 2025-12-04T10:57:21.8982584Z Warning: stream_test does not exist. 2025-12-04T10:57:21.8982929Z + run_if_exists cuda_half_test 2025-12-04T10:57:21.8983236Z + local test_name=cuda_half_test 2025-12-04T10:57:21.8983561Z + [[ -x build/bin/cuda_half_test ]] 2025-12-04T10:57:21.8984003Z + python test/run_test.py --cpp --verbose -i cpp/cuda_half_test 2025-12-04T10:57:28.8426370Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T10:57:28.8538484Z Found test times from artifacts 2025-12-04T10:57:28.8973071Z Found test times from artifacts 2025-12-04T10:57:28.8987140Z Running all tests 2025-12-04T10:57:28.8990269Z Running parallel tests on 2 processes 2025-12-04T10:57:28.8990665Z Name: tests to run (est. time: 0.0min) 2025-12-04T10:57:28.8991078Z Serial tests (0): 2025-12-04T10:57:28.8991354Z Parallel tests (1): 2025-12-04T10:57:28.8991646Z cpp/cuda_half_test 1/1 2025-12-04T10:57:28.8991946Z Name: excluded (est. time: 0.0min) 2025-12-04T10:57:28.8992274Z Serial tests (0): 2025-12-04T10:57:28.8992542Z Parallel tests (0): 2025-12-04T10:57:28.8992980Z Running cpp/cuda_half_test 1/1 ... [2025-12-04 10:57:28.899145][6249.449123682] 2025-12-04T10:57:28.8993481Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:57:28.8994237Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:57:28.8994897Z Finished cpp/cuda_half_test 1/1 ... [2025-12-04 10:57:28.899310][6249.449291461], took 0.00min 2025-12-04T10:57:29.4631389Z Uploading artifacts took 0.53 seconds 2025-12-04T10:57:35.5326784Z Running cpp/cuda_half_test 1/1 ... [2025-12-04 10:57:35.532256][6256.082228885] 2025-12-04T10:57:35.5327497Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:57:35.5327946Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:57:35.5328604Z Finished cpp/cuda_half_test 1/1 ... [2025-12-04 10:57:35.532456][6256.082436831], took 0.00min 2025-12-04T10:57:36.5496158Z Running test batch 'tests to run' cost 7.65 seconds 2025-12-04T10:57:37.2745083Z + run_if_exists cuda_vectorized_test 2025-12-04T10:57:37.2745510Z + local test_name=cuda_vectorized_test 2025-12-04T10:57:37.2745875Z + [[ -x build/bin/cuda_vectorized_test ]] 2025-12-04T10:57:37.2746378Z + python test/run_test.py --cpp --verbose -i cpp/cuda_vectorized_test 2025-12-04T10:57:44.0399834Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T10:57:44.0511369Z Found test times from artifacts 2025-12-04T10:57:44.0946743Z Found test times from artifacts 2025-12-04T10:57:44.0961311Z Running all tests 2025-12-04T10:57:44.0966227Z Running parallel tests on 2 processes 2025-12-04T10:57:44.0966686Z Name: tests to run (est. time: 0.0min) 2025-12-04T10:57:44.0967041Z Serial tests (0): 2025-12-04T10:57:44.0967440Z Parallel tests (1): 2025-12-04T10:57:44.0967814Z cpp/cuda_vectorized_test 1/1 2025-12-04T10:57:44.0968203Z Name: excluded (est. time: 0.0min) 2025-12-04T10:57:44.0968529Z Serial tests (0): 2025-12-04T10:57:44.0968793Z Parallel tests (0): 2025-12-04T10:57:44.0969254Z Running cpp/cuda_vectorized_test 1/1 ... [2025-12-04 10:57:44.096713][6264.646691311] 2025-12-04T10:57:44.0969959Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:57:44.0970633Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:57:44.0971368Z Finished cpp/cuda_vectorized_test 1/1 ... [2025-12-04 10:57:44.096923][6264.646903531], took 0.00min 2025-12-04T10:57:44.5974256Z Uploading artifacts took 0.47 seconds 2025-12-04T10:57:50.8194249Z Running cpp/cuda_vectorized_test 1/1 ... [2025-12-04 10:57:50.819015][6271.368988091] 2025-12-04T10:57:50.8194855Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:57:50.8195349Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:57:50.8196229Z Finished cpp/cuda_vectorized_test 1/1 ... [2025-12-04 10:57:50.819238][6271.369216961], took 0.00min 2025-12-04T10:57:51.8341974Z Running test batch 'tests to run' cost 7.74 seconds 2025-12-04T10:57:52.5823758Z + run_if_exists cuda_distributions_test 2025-12-04T10:57:52.5824211Z + local test_name=cuda_distributions_test 2025-12-04T10:57:52.5824620Z + [[ -x build/bin/cuda_distributions_test ]] 2025-12-04T10:57:52.5825139Z + python test/run_test.py --cpp --verbose -i cpp/cuda_distributions_test 2025-12-04T10:57:59.3903850Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T10:57:59.4015285Z Found test times from artifacts 2025-12-04T10:57:59.4454228Z Found test times from artifacts 2025-12-04T10:57:59.4468813Z Running all tests 2025-12-04T10:57:59.4472167Z Running parallel tests on 2 processes 2025-12-04T10:57:59.4472704Z Name: tests to run (est. time: 0.0min) 2025-12-04T10:57:59.4473136Z Serial tests (0): 2025-12-04T10:57:59.4473404Z Parallel tests (1): 2025-12-04T10:57:59.4473702Z cpp/cuda_distributions_test 1/1 2025-12-04T10:57:59.4474041Z Name: excluded (est. time: 0.0min) 2025-12-04T10:57:59.4474367Z Serial tests (0): 2025-12-04T10:57:59.4474630Z Parallel tests (0): 2025-12-04T10:57:59.4475106Z Running cpp/cuda_distributions_test 1/1 ... [2025-12-04 10:57:59.447342][6279.997321459] 2025-12-04T10:57:59.4475905Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:57:59.4476397Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:57:59.4477114Z Finished cpp/cuda_distributions_test 1/1 ... [2025-12-04 10:57:59.447511][6279.997492243], took 0.00min 2025-12-04T10:58:00.0283629Z Uploading artifacts took 0.55 seconds 2025-12-04T10:58:06.1848561Z Running cpp/cuda_distributions_test 1/1 ... [2025-12-04 10:58:06.184447][6286.73442222] 2025-12-04T10:58:06.1849160Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:58:06.1849626Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:58:06.1850324Z Finished cpp/cuda_distributions_test 1/1 ... [2025-12-04 10:58:06.184650][6286.734630334], took 0.00min 2025-12-04T10:58:07.1867356Z Running test batch 'tests to run' cost 7.74 seconds 2025-12-04T10:58:07.9267850Z + run_if_exists cuda_optional_test 2025-12-04T10:58:07.9268263Z + local test_name=cuda_optional_test 2025-12-04T10:58:07.9268626Z + [[ -x build/bin/cuda_optional_test ]] 2025-12-04T10:58:07.9269125Z + python test/run_test.py --cpp --verbose -i cpp/cuda_optional_test 2025-12-04T10:58:14.8285222Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T10:58:14.8400545Z Found test times from artifacts 2025-12-04T10:58:14.8848135Z Found test times from artifacts 2025-12-04T10:58:14.8861564Z Running all tests 2025-12-04T10:58:14.8865244Z Running parallel tests on 2 processes 2025-12-04T10:58:14.8865650Z Name: tests to run (est. time: 0.0min) 2025-12-04T10:58:14.8865999Z Serial tests (0): 2025-12-04T10:58:14.8866258Z Parallel tests (1): 2025-12-04T10:58:14.8866556Z cpp/cuda_optional_test 1/1 2025-12-04T10:58:14.8866887Z Name: excluded (est. time: 0.0min) 2025-12-04T10:58:14.8867282Z Serial tests (0): 2025-12-04T10:58:14.8867554Z Parallel tests (0): 2025-12-04T10:58:14.8868008Z Running cpp/cuda_optional_test 1/1 ... [2025-12-04 10:58:14.886620][6295.436598801] 2025-12-04T10:58:14.8868606Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:58:14.8869465Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:58:14.8870165Z Finished cpp/cuda_optional_test 1/1 ... [2025-12-04 10:58:14.886788][6295.436769237], took 0.00min 2025-12-04T10:58:15.5384527Z Uploading artifacts took 0.62 seconds 2025-12-04T10:58:21.7424210Z Running cpp/cuda_optional_test 1/1 ... [2025-12-04 10:58:21.742050][6302.29202493] 2025-12-04T10:58:21.7424786Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:58:21.7425242Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:58:21.7425906Z Finished cpp/cuda_optional_test 1/1 ... [2025-12-04 10:58:21.742246][6302.29222614], took 0.00min 2025-12-04T10:58:22.7509247Z Running test batch 'tests to run' cost 7.86 seconds 2025-12-04T10:58:23.5148167Z + run_if_exists cuda_tensor_interop_test 2025-12-04T10:58:23.5148608Z + local test_name=cuda_tensor_interop_test 2025-12-04T10:58:23.5149014Z + [[ -x build/bin/cuda_tensor_interop_test ]] 2025-12-04T10:58:23.5149466Z + echo 'Warning: cuda_tensor_interop_test does not exist.' 2025-12-04T10:58:23.5149971Z Warning: cuda_tensor_interop_test does not exist. 2025-12-04T10:58:23.5150363Z + run_if_exists cuda_complex_test 2025-12-04T10:58:23.5150706Z + local test_name=cuda_complex_test 2025-12-04T10:58:23.5151055Z + [[ -x build/bin/cuda_complex_test ]] 2025-12-04T10:58:23.5151845Z + python test/run_test.py --cpp --verbose -i cpp/cuda_complex_test 2025-12-04T10:58:30.3000007Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T10:58:30.3111733Z Found test times from artifacts 2025-12-04T10:58:30.3545986Z Found test times from artifacts 2025-12-04T10:58:30.3560005Z Running all tests 2025-12-04T10:58:30.3564148Z Running parallel tests on 2 processes 2025-12-04T10:58:30.3564599Z Name: tests to run (est. time: 0.0min) 2025-12-04T10:58:30.3564954Z Serial tests (0): 2025-12-04T10:58:30.3565220Z Parallel tests (1): 2025-12-04T10:58:30.3565528Z cpp/cuda_complex_test 1/1 2025-12-04T10:58:30.3565890Z Name: excluded (est. time: 0.0min) 2025-12-04T10:58:30.3566209Z Serial tests (0): 2025-12-04T10:58:30.3566484Z Parallel tests (0): 2025-12-04T10:58:30.3566939Z Running cpp/cuda_complex_test 1/1 ... [2025-12-04 10:58:30.356474][6310.906452909] 2025-12-04T10:58:30.3567499Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:58:30.3568061Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:58:30.3568719Z Finished cpp/cuda_complex_test 1/1 ... [2025-12-04 10:58:30.356647][6310.90662783], took 0.00min 2025-12-04T10:58:30.9679394Z Uploading artifacts took 0.58 seconds 2025-12-04T10:58:37.1245890Z Running cpp/cuda_complex_test 1/1 ... [2025-12-04 10:58:37.124163][6317.674136707] 2025-12-04T10:58:37.1246710Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:58:37.1247523Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:58:37.1248634Z Finished cpp/cuda_complex_test 1/1 ... [2025-12-04 10:58:37.124404][6317.674380754], took 0.00min 2025-12-04T10:58:38.1390323Z Running test batch 'tests to run' cost 7.78 seconds 2025-12-04T10:58:38.8912872Z + run_if_exists cuda_complex_math_test 2025-12-04T10:58:38.8913312Z + local test_name=cuda_complex_math_test 2025-12-04T10:58:38.8913695Z + [[ -x build/bin/cuda_complex_math_test ]] 2025-12-04T10:58:38.8914230Z + python test/run_test.py --cpp --verbose -i cpp/cuda_complex_math_test 2025-12-04T10:58:45.7469942Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T10:58:45.7581623Z Found test times from artifacts 2025-12-04T10:58:45.8013806Z Found test times from artifacts 2025-12-04T10:58:45.8027225Z Running all tests 2025-12-04T10:58:45.8030900Z Running parallel tests on 2 processes 2025-12-04T10:58:45.8031744Z Name: tests to run (est. time: 0.0min) 2025-12-04T10:58:45.8032125Z Serial tests (0): 2025-12-04T10:58:45.8032403Z Parallel tests (1): 2025-12-04T10:58:45.8032733Z cpp/cuda_complex_math_test 1/1 2025-12-04T10:58:45.8033264Z Name: excluded (est. time: 0.0min) 2025-12-04T10:58:45.8033659Z Serial tests (0): 2025-12-04T10:58:45.8033927Z Parallel tests (0): 2025-12-04T10:58:45.8034596Z Running cpp/cuda_complex_math_test 1/1 ... [2025-12-04 10:58:45.803209][6326.353187585] 2025-12-04T10:58:45.8035289Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:58:45.8035929Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:58:45.8036651Z Finished cpp/cuda_complex_math_test 1/1 ... [2025-12-04 10:58:45.803384][6326.3533644], took 0.00min 2025-12-04T10:58:46.3397520Z Uploading artifacts took 0.50 seconds 2025-12-04T10:58:52.5041381Z Running cpp/cuda_complex_math_test 1/1 ... [2025-12-04 10:58:52.503732][6333.053705786] 2025-12-04T10:58:52.5042066Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:58:52.5042607Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:58:52.5043400Z Finished cpp/cuda_complex_math_test 1/1 ... [2025-12-04 10:58:52.503939][6333.053918793], took 0.00min 2025-12-04T10:58:53.5237176Z Running test batch 'tests to run' cost 7.72 seconds 2025-12-04T10:58:54.2252535Z + run_if_exists cuda_cub_test 2025-12-04T10:58:54.2252936Z + local test_name=cuda_cub_test 2025-12-04T10:58:54.2253267Z + [[ -x build/bin/cuda_cub_test ]] 2025-12-04T10:58:54.2254033Z + python test/run_test.py --cpp --verbose -i cpp/cuda_cub_test 2025-12-04T10:59:01.0449022Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T10:59:01.0560275Z Found test times from artifacts 2025-12-04T10:59:01.0993375Z Found test times from artifacts 2025-12-04T10:59:01.1008134Z Running all tests 2025-12-04T10:59:01.1011823Z Running parallel tests on 2 processes 2025-12-04T10:59:01.1012293Z Name: tests to run (est. time: 0.0min) 2025-12-04T10:59:01.1012634Z Serial tests (0): 2025-12-04T10:59:01.1012903Z Parallel tests (1): 2025-12-04T10:59:01.1013172Z cpp/cuda_cub_test 1/1 2025-12-04T10:59:01.1013615Z Name: excluded (est. time: 0.0min) 2025-12-04T10:59:01.1014030Z Serial tests (0): 2025-12-04T10:59:01.1014284Z Parallel tests (0): 2025-12-04T10:59:01.1014778Z Running cpp/cuda_cub_test 1/1 ... [2025-12-04 10:59:01.101270][6341.651248874] 2025-12-04T10:59:01.1015415Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:59:01.1015918Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:59:01.1016546Z Finished cpp/cuda_cub_test 1/1 ... [2025-12-04 10:59:01.101437][6341.65141772], took 0.00min 2025-12-04T10:59:01.6279559Z Uploading artifacts took 0.49 seconds 2025-12-04T10:59:07.8308249Z Running cpp/cuda_cub_test 1/1 ... [2025-12-04 10:59:07.830463][6348.380438239] 2025-12-04T10:59:07.8308786Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:59:07.8309244Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:59:07.8309864Z Finished cpp/cuda_cub_test 1/1 ... [2025-12-04 10:59:07.830665][6348.380645027], took 0.00min 2025-12-04T10:59:08.8666234Z Running test batch 'tests to run' cost 7.77 seconds 2025-12-04T10:59:09.6110439Z + run_if_exists cuda_atomic_ops_test 2025-12-04T10:59:09.6110878Z + local test_name=cuda_atomic_ops_test 2025-12-04T10:59:09.6111258Z + [[ -x build/bin/cuda_atomic_ops_test ]] 2025-12-04T10:59:09.6111765Z + python test/run_test.py --cpp --verbose -i cpp/cuda_atomic_ops_test 2025-12-04T10:59:16.5288528Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T10:59:16.5399168Z Found test times from artifacts 2025-12-04T10:59:16.5832055Z Found test times from artifacts 2025-12-04T10:59:16.5846453Z Running all tests 2025-12-04T10:59:16.5850365Z Running parallel tests on 2 processes 2025-12-04T10:59:16.5850791Z Name: tests to run (est. time: 0.0min) 2025-12-04T10:59:16.5851138Z Serial tests (0): 2025-12-04T10:59:16.5851480Z Parallel tests (1): 2025-12-04T10:59:16.5851823Z cpp/cuda_atomic_ops_test 1/1 2025-12-04T10:59:16.5852173Z Name: excluded (est. time: 0.0min) 2025-12-04T10:59:16.5852495Z Serial tests (0): 2025-12-04T10:59:16.5852805Z Parallel tests (0): 2025-12-04T10:59:16.5853325Z Running cpp/cuda_atomic_ops_test 1/1 ... [2025-12-04 10:59:16.585110][6357.135089039] 2025-12-04T10:59:16.5853862Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:59:16.5854321Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:59:16.5854980Z Finished cpp/cuda_atomic_ops_test 1/1 ... [2025-12-04 10:59:16.585272][6357.135252665], took 0.00min 2025-12-04T10:59:17.1675484Z Uploading artifacts took 0.55 seconds 2025-12-04T10:59:23.3399883Z Running cpp/cuda_atomic_ops_test 1/1 ... [2025-12-04 10:59:23.339537][6363.889510114] 2025-12-04T10:59:23.3400741Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:59:23.3401218Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:59:23.3401897Z Finished cpp/cuda_atomic_ops_test 1/1 ... [2025-12-04 10:59:23.339784][6363.889762906], took 0.00min 2025-12-04T10:59:24.3370014Z Running test batch 'tests to run' cost 7.75 seconds 2025-12-04T10:59:25.0522981Z + run_if_exists cuda_allocator_test 2025-12-04T10:59:25.0523437Z + local test_name=cuda_allocator_test 2025-12-04T10:59:25.0523835Z + [[ -x build/bin/cuda_allocator_test ]] 2025-12-04T10:59:25.0524639Z + python test/run_test.py --cpp --verbose -i cpp/cuda_allocator_test 2025-12-04T10:59:32.0556923Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T10:59:32.0669395Z Found test times from artifacts 2025-12-04T10:59:32.1104592Z Found test times from artifacts 2025-12-04T10:59:32.1120041Z Running all tests 2025-12-04T10:59:32.1132480Z Running parallel tests on 2 processes 2025-12-04T10:59:32.1133096Z Name: tests to run (est. time: 0.0min) 2025-12-04T10:59:32.1133656Z Serial tests (0): 2025-12-04T10:59:32.1134059Z Parallel tests (1): 2025-12-04T10:59:32.1134548Z cpp/cuda_allocator_test 1/1 2025-12-04T10:59:32.1135184Z Name: excluded (est. time: 0.0min) 2025-12-04T10:59:32.1135765Z Serial tests (0): 2025-12-04T10:59:32.1136255Z Parallel tests (0): 2025-12-04T10:59:32.1137037Z Running cpp/cuda_allocator_test 1/1 ... [2025-12-04 10:59:32.112593][6372.662569997] 2025-12-04T10:59:32.1138026Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:59:32.1138849Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:59:32.1140060Z Finished cpp/cuda_allocator_test 1/1 ... [2025-12-04 10:59:32.112872][6372.66284998], took 0.00min 2025-12-04T10:59:32.6582061Z Uploading artifacts took 0.51 seconds 2025-12-04T10:59:38.7831044Z Running cpp/cuda_allocator_test 1/1 ... [2025-12-04 10:59:38.782689][6379.332663785] 2025-12-04T10:59:38.7831628Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:59:38.7832094Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T10:59:38.7832754Z Finished cpp/cuda_allocator_test 1/1 ... [2025-12-04 10:59:38.782892][6379.332872304], took 0.00min 2025-12-04T10:59:39.7896205Z Running test batch 'tests to run' cost 7.68 seconds 2025-12-04T10:59:40.5784945Z + '[' ON == ON ']' 2025-12-04T10:59:40.5785885Z + valgrind --suppressions=/var/lib/jenkins/workspace/aten/tools/valgrind.sup --error-exitcode=1 build/bin/basic '--gtest_filter=-*CUDA' 2025-12-04T10:59:40.5921428Z ==29457== Memcheck, a memory error detector 2025-12-04T10:59:40.5921937Z ==29457== Copyright (C) 2002-2022, and GNU GPL'd, by Julian Seward et al. 2025-12-04T10:59:40.5922612Z ==29457== Using Valgrind-3.20.0 and LibVEX; rerun with -h for copyright info 2025-12-04T10:59:40.5923200Z ==29457== Command: build/bin/basic --gtest_filter=-*CUDA 2025-12-04T10:59:40.5923606Z ==29457== 2025-12-04T10:59:40.9646589Z ==29457== Warning: set address range perms: large range [0x4a9d000, 0x19b6a000) (defined) 2025-12-04T10:59:40.9647442Z ==29457== Warning: set address range perms: large range [0x5ab7000, 0x16c2e000) (defined) 2025-12-04T10:59:46.2497738Z ==29457== Warning: set address range perms: large range [0x26aaf000, 0x37af8000) (noaccess) 2025-12-04T10:59:46.2498566Z ==29457== Warning: set address range perms: large range [0x26c00000, 0x37a49000) (defined) 2025-12-04T10:59:46.3185297Z ==29457== Warning: set address range perms: large range [0x37a49000, 0x49846000) (noaccess) 2025-12-04T10:59:46.3186129Z ==29457== Warning: set address range perms: large range [0x37c00000, 0x497fd000) (defined) 2025-12-04T10:59:46.3719375Z ==29457== Warning: set address range perms: large range [0x387b0000, 0x49552000) (defined) 2025-12-04T10:59:46.6460422Z ==29457== Warning: set address range perms: large range [0x76692000, 0x947ee000) (noaccess) 2025-12-04T10:59:46.6461277Z ==29457== Warning: set address range perms: large range [0x76800000, 0x9475c000) (defined) 2025-12-04T11:00:44.9573691Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc 2025-12-04T11:00:44.9921750Z Note: Google Test filter = -*CUDA 2025-12-04T11:00:45.0007672Z [==========] Running 6 tests from 1 test suite. 2025-12-04T11:00:45.0027063Z [----------] Global test environment set-up. 2025-12-04T11:00:45.0098604Z [----------] 6 tests from BasicTest 2025-12-04T11:00:45.0127903Z [ RUN ] BasicTest.BasicTestCPU 2025-12-04T11:00:45.2608107Z ==29457== Warning: noted but unhandled ioctl 0x30000001 with no size/direction hints. 2025-12-04T11:00:45.2609145Z ==29457== This could cause spurious value errors to appear. 2025-12-04T11:00:45.2616658Z ==29457== See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper. 2025-12-04T11:00:45.2617461Z ==29457== Warning: noted but unhandled ioctl 0x27 with no size/direction hints. 2025-12-04T11:00:45.2618039Z ==29457== This could cause spurious value errors to appear. 2025-12-04T11:00:45.2618658Z ==29457== See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper. 2025-12-04T11:00:45.4192207Z ==29457== Warning: noted but unhandled ioctl 0x25 with no size/direction hints. 2025-12-04T11:00:45.4192827Z ==29457== This could cause spurious value errors to appear. 2025-12-04T11:00:45.4193453Z ==29457== See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper. 2025-12-04T11:00:45.5366181Z ==29457== Warning: noted but unhandled ioctl 0x17 with no size/direction hints. 2025-12-04T11:00:45.5366835Z ==29457== This could cause spurious value errors to appear. 2025-12-04T11:00:45.5367600Z ==29457== See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper. 2025-12-04T11:00:45.5489248Z ==29457== Warning: set address range perms: large range [0x200000000, 0x300200000) (noaccess) 2025-12-04T11:00:45.5613261Z ==29457== Warning: set address range perms: large range [0xa0274000, 0xc0273000) (noaccess) 2025-12-04T11:01:11.3312502Z 1370 ms 2025-12-04T11:01:11.6343391Z 62 ms 2025-12-04T11:01:11.7165426Z 73 ms 2025-12-04T11:01:14.9065294Z [ OK ] BasicTest.BasicTestCPU (29891 ms) 2025-12-04T11:01:14.9111299Z [ RUN ] BasicTest.BasicTestHalfCPU 2025-12-04T11:01:15.5842299Z 575 ms 2025-12-04T11:01:15.8867062Z 51 ms 2025-12-04T11:01:16.0072599Z 70 ms 2025-12-04T11:01:16.0662170Z [ OK ] BasicTest.BasicTestHalfCPU (1105 ms) 2025-12-04T11:01:16.0662979Z [ RUN ] BasicTest.FactoryMethodsTest 2025-12-04T11:01:16.1962641Z ==29457== Warning: noted but unhandled ioctl 0x19 with no size/direction hints. 2025-12-04T11:01:16.1963319Z ==29457== This could cause spurious value errors to appear. 2025-12-04T11:01:16.1963961Z ==29457== See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper. 2025-12-04T11:01:16.2291268Z ==29457== Warning: noted but unhandled ioctl 0x49 with no size/direction hints. 2025-12-04T11:01:16.2291887Z ==29457== This could cause spurious value errors to appear. 2025-12-04T11:01:16.2292500Z ==29457== See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper. 2025-12-04T11:01:16.2305643Z ==29457== Warning: noted but unhandled ioctl 0x21 with no size/direction hints. 2025-12-04T11:01:16.2306240Z ==29457== This could cause spurious value errors to appear. 2025-12-04T11:01:16.2306879Z ==29457== See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper. 2025-12-04T11:01:16.3993302Z ==29457== Warning: noted but unhandled ioctl 0x1b with no size/direction hints. 2025-12-04T11:01:16.3993966Z ==29457== This could cause spurious value errors to appear. 2025-12-04T11:01:16.3994584Z ==29457== See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper. 2025-12-04T11:01:16.5622234Z ==29457== Warning: noted but unhandled ioctl 0x44 with no size/direction hints. 2025-12-04T11:01:16.5622959Z ==29457== This could cause spurious value errors to appear. 2025-12-04T11:01:16.5623673Z ==29457== See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper. 2025-12-04T11:01:16.5637371Z ==29457== Warning: noted but unhandled ioctl 0x48 with no size/direction hints. 2025-12-04T11:01:16.5637992Z ==29457== This could cause spurious value errors to appear. 2025-12-04T11:01:16.5638657Z ==29457== See README_MISSING_SYSCALL_OR_IOCTL for guidance on writing a proper wrapper. 2025-12-04T11:01:33.2509897Z [ OK ] BasicTest.FactoryMethodsTest (17184 ms) 2025-12-04T11:01:33.2510387Z [ RUN ] BasicTest.BasicStdTestCPU 2025-12-04T11:01:33.3419384Z Simple example: called once 2025-12-04T11:01:33.4441245Z throw: call_once will retry 2025-12-04T11:01:33.4922098Z throw: call_once will retry 2025-12-04T11:01:33.4924935Z throw: call_once will retry 2025-12-04T11:01:33.4929524Z Didn't throw, call_once will not attempt again 2025-12-04T11:01:33.4955828Z [ OK ] BasicTest.BasicStdTestCPU (244 ms) 2025-12-04T11:01:33.4956275Z [ RUN ] BasicTest.TestForBlobResizeCPU 2025-12-04T11:01:33.5183754Z [ OK ] BasicTest.TestForBlobResizeCPU (22 ms) 2025-12-04T11:01:33.5184217Z [ RUN ] BasicTest.TestForBlobStridesResizeCPU 2025-12-04T11:01:33.5233044Z [ OK ] BasicTest.TestForBlobStridesResizeCPU (4 ms) 2025-12-04T11:01:33.5256151Z [----------] 6 tests from BasicTest (48511 ms total) 2025-12-04T11:01:33.5256458Z 2025-12-04T11:01:33.5272127Z [----------] Global test environment tear-down 2025-12-04T11:01:33.5302802Z [==========] 6 tests from 1 test suite ran. (48542 ms total) 2025-12-04T11:01:33.5317994Z [ PASSED ] 6 tests. 2025-12-04T11:01:36.5057151Z ==29457== 2025-12-04T11:01:36.5214744Z ==29457== HEAP SUMMARY: 2025-12-04T11:01:36.5215171Z ==29457== in use at exit: 1,967,241,015 bytes in 449,883 blocks 2025-12-04T11:01:36.5215776Z ==29457== total heap usage: 1,547,157 allocs, 1,097,274 frees, 3,009,731,290 bytes allocated 2025-12-04T11:01:36.5216295Z ==29457== 2025-12-04T11:01:52.0690138Z ==29457== LEAK SUMMARY: 2025-12-04T11:01:52.0690675Z ==29457== definitely lost: 288 bytes in 3 blocks 2025-12-04T11:01:52.0691128Z ==29457== indirectly lost: 192 bytes in 2 blocks 2025-12-04T11:01:52.0691572Z ==29457== possibly lost: 588,176,264 bytes in 2,484 blocks 2025-12-04T11:01:52.0692080Z ==29457== still reachable: 1,379,064,271 bytes in 447,394 blocks 2025-12-04T11:01:52.0692819Z ==29457== suppressed: 0 bytes in 0 blocks 2025-12-04T11:01:52.0693329Z ==29457== Rerun with --leak-check=full to see details of leaked memory 2025-12-04T11:01:52.0693773Z ==29457== 2025-12-04T11:01:52.0694142Z ==29457== For lists of detected and suppressed errors, rerun with: -s 2025-12-04T11:01:52.0694748Z ==29457== ERROR SUMMARY: 0 errors from 0 contexts (suppressed: 4 from 4) 2025-12-04T11:01:52.4231582Z + [[ -x build/bin/tensor_interop_test ]] 2025-12-04T11:01:52.4233943Z + [[ -n '' ]] 2025-12-04T11:01:52.4234268Z + assert_git_not_dirty 2025-12-04T11:01:52.4234619Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 != *rocm* ]] 2025-12-04T11:01:52.4235057Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 != *xla* ]] 2025-12-04T11:01:52.4242244Z ++ git status --porcelain 2025-12-04T11:01:52.4243458Z ++ grep -v '?? third_party' 2025-12-04T11:01:52.7468575Z ++ true 2025-12-04T11:01:52.7469282Z + git_status= 2025-12-04T11:01:52.7469551Z + [[ -n '' ]] 2025-12-04T11:01:52.7470228Z + test_libtorch 1 2025-12-04T11:01:52.7470632Z + local SHARD=1 2025-12-04T11:01:52.7470975Z + [[ legacy_nvidia_driver != \s\l\o\w ]] 2025-12-04T11:01:52.7471443Z + echo 'Testing libtorch' 2025-12-04T11:01:52.7471733Z Testing libtorch 2025-12-04T11:01:52.7472614Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libbackend_with_compiler.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-12-04T11:01:52.7498969Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libjitbackend_test.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-12-04T11:01:52.7510969Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libcaffe2_nvrtc.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-12-04T11:01:52.7524604Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10_cuda.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10d_cuda_test.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-12-04T11:01:52.7537089Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libshm /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libshm.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libshm_windows /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-12-04T11:01:52.7551137Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_cuda_linalg.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_python.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorchbind_test.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-12-04T11:01:52.7562380Z + ln -sf '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libnvfuser*' /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-12-04T11:01:52.7574240Z + export CPP_TESTS_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-12-04T11:01:52.7574959Z + CPP_TESTS_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-12-04T11:01:52.7575469Z + [[ -z 1 ]] 2025-12-04T11:01:52.7575690Z + [[ 1 == \1 ]] 2025-12-04T11:01:52.7575943Z + test_libtorch_api 2025-12-04T11:01:52.7576301Z + MNIST_DIR=/var/lib/jenkins/workspace/test/cpp/api/mnist 2025-12-04T11:01:52.7576931Z + python tools/download_mnist.py --quiet -d /var/lib/jenkins/workspace/test/cpp/api/mnist 2025-12-04T11:01:52.8097577Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/train-images-idx3-ubyte.gz ... 2025-12-04T11:01:53.2007783Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/train-labels-idx1-ubyte.gz ... 2025-12-04T11:01:53.2421850Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/t10k-images-idx3-ubyte.gz ... 2025-12-04T11:01:53.3408925Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/t10k-labels-idx1-ubyte.gz ... 2025-12-04T11:01:53.3904411Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *asan* ]] 2025-12-04T11:01:53.3904992Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *slow-gradcheck* ]] 2025-12-04T11:01:53.3905432Z + OMP_NUM_THREADS=2 2025-12-04T11:01:53.3905854Z + TORCH_CPP_TEST_MNIST_PATH=/var/lib/jenkins/workspace/test/cpp/api/mnist 2025-12-04T11:01:53.3906522Z + python test/run_test.py --cpp --verbose -i cpp/test_api -k 'not IMethodTest' 2025-12-04T11:02:00.1400336Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T11:02:00.1513179Z Found test times from artifacts 2025-12-04T11:02:00.1949439Z Found test times from artifacts 2025-12-04T11:02:00.1964223Z Running all tests 2025-12-04T11:02:00.1967897Z Running parallel tests on 2 processes 2025-12-04T11:02:00.1968652Z Name: tests to run (est. time: 0.0min) 2025-12-04T11:02:00.1969061Z Serial tests (0): 2025-12-04T11:02:00.1969336Z Parallel tests (1): 2025-12-04T11:02:00.1969604Z cpp/test_api 1/1 2025-12-04T11:02:00.1969919Z Name: excluded (est. time: 0.0min) 2025-12-04T11:02:00.1970251Z Serial tests (0): 2025-12-04T11:02:00.1970505Z Parallel tests (0): 2025-12-04T11:02:00.1974404Z Running cpp/test_api 1/1 ... [2025-12-04 11:02:00.197286][6520.747262996] 2025-12-04T11:02:00.1974936Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T11:02:00.1975876Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T11:02:00.1976488Z Finished cpp/test_api 1/1 ... [2025-12-04 11:02:00.197489][6520.747468849], took 0.00min 2025-12-04T11:02:00.9527090Z Uploading artifacts took 0.72 seconds 2025-12-04T11:02:07.0733710Z Running cpp/test_api 1/1 ... [2025-12-04 11:02:07.072963][6527.62293706] 2025-12-04T11:02:07.0734273Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T11:02:07.0734735Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T11:02:07.0735342Z Finished cpp/test_api 1/1 ... [2025-12-04 11:02:07.073183][6527.623162442], took 0.00min 2025-12-04T11:02:08.1039721Z Running test batch 'tests to run' cost 7.91 seconds 2025-12-04T11:02:08.8564139Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 != *android* ]] 2025-12-04T11:02:08.8564677Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 != *cuda* ]] 2025-12-04T11:02:08.8565161Z + [[ -z 1 ]] 2025-12-04T11:02:08.8565409Z + [[ 1 == \2 ]] 2025-12-04T11:02:08.8565655Z + assert_git_not_dirty 2025-12-04T11:02:08.8565998Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 != *rocm* ]] 2025-12-04T11:02:08.8566444Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 != *xla* ]] 2025-12-04T11:02:08.8570685Z ++ git status --porcelain 2025-12-04T11:02:08.8571920Z ++ grep -v '?? third_party' 2025-12-04T11:02:09.1785745Z ++ true 2025-12-04T11:02:09.1786530Z + git_status= 2025-12-04T11:02:09.1786822Z + [[ -n '' ]] 2025-12-04T11:02:09.1787543Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *xpu* ]] 2025-12-04T11:02:09.1788580Z + sccache_epilogue 2025-12-04T11:02:09.1788927Z + echo '::group::Sccache Compilation Log' 2025-12-04T11:02:09.1789701Z ##[group]Sccache Compilation Log 2025-12-04T11:02:09.1790103Z + echo '=================== sccache compilation log ===================' 2025-12-04T11:02:09.1790576Z =================== sccache compilation log =================== 2025-12-04T11:02:09.1791297Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log 2025-12-04T11:02:09.1944673Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ===========' 2025-12-04T11:02:09.1945480Z =========== If your build fails, please take a look at the log above for possible reasons =========== 2025-12-04T11:02:09.1946038Z + sccache --show-stats 2025-12-04T11:02:09.1978403Z Compile requests 585 2025-12-04T11:02:09.1978829Z Compile requests executed 120 2025-12-04T11:02:09.1979405Z Cache hits 75 2025-12-04T11:02:09.1979755Z Cache hits (C/C++) 75 2025-12-04T11:02:09.1980094Z Cache misses 45 2025-12-04T11:02:09.1980443Z Cache misses (C/C++) 45 2025-12-04T11:02:09.1980809Z Cache hits rate 62.50 % 2025-12-04T11:02:09.1981215Z Cache hits rate (C/C++) 62.50 % 2025-12-04T11:02:09.1981572Z Cache timeouts 0 2025-12-04T11:02:09.1981919Z Cache read errors 0 2025-12-04T11:02:09.1982270Z Forced recaches 0 2025-12-04T11:02:09.1982605Z Cache write errors 0 2025-12-04T11:02:09.1982952Z Cache errors 0 2025-12-04T11:02:09.1983298Z Compilations 45 2025-12-04T11:02:09.1983642Z Compilation failures 0 2025-12-04T11:02:09.1984016Z Non-cacheable compilations 0 2025-12-04T11:02:09.1984386Z Non-cacheable calls 2 2025-12-04T11:02:09.1984736Z Non-compilation calls 463 2025-12-04T11:02:09.1985109Z Unsupported compiler calls 0 2025-12-04T11:02:09.1985479Z Average cache write 0.041 s 2025-12-04T11:02:09.1985854Z Average compiler 13.622 s 2025-12-04T11:02:09.1986209Z Average cache read hit 0.063 s 2025-12-04T11:02:09.1986585Z Failed distributed compilations 0 2025-12-04T11:02:09.1986837Z 2025-12-04T11:02:09.1986960Z Non-cacheable reasons: 2025-12-04T11:02:09.1987235Z -E 2 2025-12-04T11:02:09.1987481Z 2025-12-04T11:02:09.1987739Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-12-04T11:02:09.1988255Z Version (client) 0.10.0 2025-12-04T11:02:09.1988601Z + sccache --stop-server 2025-12-04T11:02:09.2005885Z Stopping sccache server... 2025-12-04T11:02:09.2008423Z Compile requests 585 2025-12-04T11:02:09.2008813Z Compile requests executed 120 2025-12-04T11:02:09.2009156Z Cache hits 75 2025-12-04T11:02:09.2009514Z Cache hits (C/C++) 75 2025-12-04T11:02:09.2009863Z Cache misses 45 2025-12-04T11:02:09.2010404Z Cache misses (C/C++) 45 2025-12-04T11:02:09.2010749Z Cache hits rate 62.50 % 2025-12-04T11:02:09.2011135Z Cache hits rate (C/C++) 62.50 % 2025-12-04T11:02:09.2011605Z Cache timeouts 0 2025-12-04T11:02:09.2012076Z Cache read errors 0 2025-12-04T11:02:09.2012426Z Forced recaches 0 2025-12-04T11:02:09.2012772Z Cache write errors 0 2025-12-04T11:02:09.2013105Z Cache errors 0 2025-12-04T11:02:09.2013451Z Compilations 45 2025-12-04T11:02:09.2013809Z Compilation failures 0 2025-12-04T11:02:09.2014167Z Non-cacheable compilations 0 2025-12-04T11:02:09.2014541Z Non-cacheable calls 2 2025-12-04T11:02:09.2014906Z Non-compilation calls 463 2025-12-04T11:02:09.2015274Z Unsupported compiler calls 0 2025-12-04T11:02:09.2015634Z Average cache write 0.041 s 2025-12-04T11:02:09.2016006Z Average compiler 13.622 s 2025-12-04T11:02:09.2016376Z Average cache read hit 0.063 s 2025-12-04T11:02:09.2016739Z Failed distributed compilations 0 2025-12-04T11:02:09.2016998Z 2025-12-04T11:02:09.2017105Z Non-cacheable reasons: 2025-12-04T11:02:09.2017390Z -E 2 2025-12-04T11:02:09.2017617Z 2025-12-04T11:02:09.2017874Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-12-04T11:02:09.2018387Z Version (client) 0.10.0 2025-12-04T11:02:09.2018743Z + echo ::endgroup:: 2025-12-04T11:02:09.2019281Z ##[endgroup] 2025-12-04T11:02:09.2019532Z + cleanup_workspace 2025-12-04T11:02:09.2020153Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.' 2025-12-04T11:02:09.2021526Z sudo may print the following warning message that can be ignored. The chown command will still run. 2025-12-04T11:02:09.2022660Z + echo ' sudo: setrlimit(RLIMIT_STACK): Operation not permitted' 2025-12-04T11:02:09.2023396Z sudo: setrlimit(RLIMIT_STACK): Operation not permitted 2025-12-04T11:02:09.2024155Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42' 2025-12-04T11:02:09.2024835Z For more details refer to https://github.com/sudo-project/sudo/issues/42 2025-12-04T11:02:09.2025559Z + sudo chown -R 1000 /var/lib/jenkins/workspace 2025-12-04T11:02:09.9421503Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main 2025-12-04T11:02:09.9422071Z with: 2025-12-04T11:02:09.9422355Z benchmark-results-dir: test/test-reports 2025-12-04T11:02:09.9422723Z dry-run: false 2025-12-04T11:02:09.9422987Z schema-version: v3 2025-12-04T11:02:09.9423485Z github-token: *** 2025-12-04T11:02:09.9423745Z env: 2025-12-04T11:02:09.9423970Z GIT_DEFAULT_BRANCH: main 2025-12-04T11:02:09.9424272Z HAS_NVIDIA_GPU: true 2025-12-04T11:02:09.9424633Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T11:02:09.9425264Z DOCKER_CONTAINER_ID: 1552b778ab47e45fc6b314dd7b21f15baa4dd289a9054e2e7f831fe869e92691 2025-12-04T11:02:09.9425834Z ##[endgroup] 2025-12-04T11:02:09.9445374Z ##[group]Run set -eux 2025-12-04T11:02:09.9445695Z set -eux 2025-12-04T11:02:09.9445950Z  2025-12-04T11:02:09.9446181Z if [[ -n "" ]]; then 2025-12-04T11:02:09.9446492Z  source "" 2025-12-04T11:02:09.9446810Z fi 2025-12-04T11:02:09.9447204Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-12-04T11:02:09.9447807Z  2025-12-04T11:02:09.9448050Z DEVICE_NAME="" 2025-12-04T11:02:09.9448328Z DEVICE_TYPE="" 2025-12-04T11:02:09.9448612Z  2025-12-04T11:02:09.9448870Z if command -v nvidia-smi; then 2025-12-04T11:02:09.9449369Z  # NB: I'm using PyTorch here to get the device name, however, it needs to 2025-12-04T11:02:09.9450031Z  # install the correct version of PyTorch manually for now. Any PyTorch 2025-12-04T11:02:09.9450647Z  # version is fine, I just use 2.7.1 to satify PYPIDEP linter 2025-12-04T11:02:09.9451236Z  python3 -mpip install torch==2.7.1 2025-12-04T11:02:09.9451615Z elif command -v rocminfo; then 2025-12-04T11:02:09.9452118Z  # NB: Installing torch on ROCm runner with pip here causes CI to fail 2025-12-04T11:02:09.9452761Z  # with a memoryview is too large error only on MI300 runners. Is pip 2025-12-04T11:02:09.9453399Z  # version on ROCm runner there too old? As a workaround, let's use the 2025-12-04T11:02:09.9453950Z  # GPU device name coming from rocminfo instead 2025-12-04T11:02:09.9454364Z  DEVICE_NAME=rocm 2025-12-04T11:02:09.9454909Z  DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs) 2025-12-04T11:02:09.9455468Z fi 2025-12-04T11:02:09.9455700Z  2025-12-04T11:02:09.9456004Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV 2025-12-04T11:02:09.9456471Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-12-04T11:02:09.9466857Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T11:02:09.9467291Z env: 2025-12-04T11:02:09.9467533Z GIT_DEFAULT_BRANCH: main 2025-12-04T11:02:09.9467821Z HAS_NVIDIA_GPU: true 2025-12-04T11:02:09.9468182Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T11:02:09.9468815Z DOCKER_CONTAINER_ID: 1552b778ab47e45fc6b314dd7b21f15baa4dd289a9054e2e7f831fe869e92691 2025-12-04T11:02:09.9469365Z ##[endgroup] 2025-12-04T11:02:09.9506230Z + [[ -n '' ]] 2025-12-04T11:02:09.9506612Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-12-04T11:02:10.2191793Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T11:02:11.4958097Z Collecting boto3==1.35.33 2025-12-04T11:02:11.5164437Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-12-04T11:02:11.8846011Z Collecting psutil==7.0.0 2025-12-04T11:02:11.8887887Z Downloading psutil-7.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (277 kB) 2025-12-04T11:02:11.9208067Z Collecting pynvml==12.0.0 2025-12-04T11:02:11.9243452Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-12-04T11:02:11.9328962Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.33) (0.10.0) 2025-12-04T11:02:13.3323486Z Collecting botocore<1.36.0,>=1.35.33 2025-12-04T11:02:13.3365866Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-12-04T11:02:13.5533082Z Collecting s3transfer<0.11.0,>=0.10.0 2025-12-04T11:02:13.5571478Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-12-04T11:02:13.6091475Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-12-04T11:02:13.6128016Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-12-04T11:02:13.6223735Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (2.8.1) 2025-12-04T11:02:13.6234973Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.25.10) 2025-12-04T11:02:13.8431243Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.15.0) 2025-12-04T11:02:13.9912995Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-12-04T11:02:14.5719176Z Attempting uninstall: nvidia-ml-py 2025-12-04T11:02:14.5720732Z Found existing installation: nvidia-ml-py 11.525.84 2025-12-04T11:02:14.5736500Z Uninstalling nvidia-ml-py-11.525.84: 2025-12-04T11:02:14.5952922Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-12-04T11:02:14.6629059Z Attempting uninstall: psutil 2025-12-04T11:02:14.6630016Z Found existing installation: psutil 5.9.8 2025-12-04T11:02:14.6707632Z Uninstalling psutil-5.9.8: 2025-12-04T11:02:14.6714631Z Successfully uninstalled psutil-5.9.8 2025-12-04T11:02:14.8597375Z Successfully installed boto3-1.35.33 botocore-1.35.99 nvidia-ml-py-12.575.51 psutil-7.0.0 pynvml-12.0.0 s3transfer-0.10.4 2025-12-04T11:02:14.9775092Z + DEVICE_NAME= 2025-12-04T11:02:14.9775390Z + DEVICE_TYPE= 2025-12-04T11:02:14.9775661Z + command -v nvidia-smi 2025-12-04T11:02:14.9776008Z + python3 -mpip install torch==2.7.1 2025-12-04T11:02:14.9776354Z /usr/bin/nvidia-smi 2025-12-04T11:02:15.2466093Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T11:02:15.5570865Z Collecting torch==2.7.1 2025-12-04T11:02:15.5792522Z Downloading torch-2.7.1-cp39-cp39-manylinux_2_28_x86_64.whl (821.1 MB) 2025-12-04T11:02:29.3898962Z Collecting nvidia-nvjitlink-cu12==12.6.85 2025-12-04T11:02:29.3972642Z Downloading nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl (19.7 MB) 2025-12-04T11:02:29.6142842Z Requirement already satisfied: jinja2 in /usr/lib/python3.9/site-packages (from torch==2.7.1) (2.11.3) 2025-12-04T11:02:29.6587385Z Collecting nvidia-cudnn-cu12==9.5.1.17 2025-12-04T11:02:29.6655506Z Downloading nvidia_cudnn_cu12-9.5.1.17-py3-none-manylinux_2_28_x86_64.whl (571.0 MB) 2025-12-04T11:02:38.4913207Z Collecting nvidia-nvtx-cu12==12.6.77 2025-12-04T11:02:38.4955421Z Downloading nvidia_nvtx_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (89 kB) 2025-12-04T11:02:38.5197353Z Collecting nvidia-cufile-cu12==1.11.1.6 2025-12-04T11:02:38.5266558Z Downloading nvidia_cufile_cu12-1.11.1.6-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (1.1 MB) 2025-12-04T11:02:38.5749047Z Collecting nvidia-cuda-cupti-cu12==12.6.80 2025-12-04T11:02:38.5815333Z Downloading nvidia_cuda_cupti_cu12-12.6.80-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (8.9 MB) 2025-12-04T11:02:38.7214935Z Collecting filelock 2025-12-04T11:02:38.7253897Z Downloading filelock-3.19.1-py3-none-any.whl (15 kB) 2025-12-04T11:02:38.7955972Z Collecting fsspec 2025-12-04T11:02:38.7993538Z Downloading fsspec-2025.10.0-py3-none-any.whl (200 kB) 2025-12-04T11:02:38.8380302Z Collecting nvidia-cuda-nvrtc-cu12==12.6.77 2025-12-04T11:02:38.8429465Z Downloading nvidia_cuda_nvrtc_cu12-12.6.77-py3-none-manylinux2014_x86_64.whl (23.7 MB) 2025-12-04T11:02:39.1285812Z Collecting sympy>=1.13.3 2025-12-04T11:02:39.1330826Z Downloading sympy-1.14.0-py3-none-any.whl (6.3 MB) 2025-12-04T11:02:39.2365940Z Collecting nvidia-cusparse-cu12==12.5.4.2 2025-12-04T11:02:39.2449456Z Downloading nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (216.6 MB) 2025-12-04T11:02:42.0274794Z Collecting nvidia-curand-cu12==10.3.7.77 2025-12-04T11:02:42.0354283Z Downloading nvidia_curand_cu12-10.3.7.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (56.3 MB) 2025-12-04T11:02:42.7444642Z Collecting nvidia-cuda-runtime-cu12==12.6.77 2025-12-04T11:02:42.7488939Z Downloading nvidia_cuda_runtime_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (897 kB) 2025-12-04T11:02:42.8114983Z Collecting triton==3.3.1 2025-12-04T11:02:42.8200906Z Downloading triton-3.3.1-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (155.6 MB) 2025-12-04T11:02:44.6443479Z Collecting nvidia-cusolver-cu12==11.7.1.2 2025-12-04T11:02:44.6510614Z Downloading nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (158.2 MB) 2025-12-04T11:02:46.4974507Z Collecting nvidia-cusparselt-cu12==0.6.3 2025-12-04T11:02:46.5017819Z Downloading nvidia_cusparselt_cu12-0.6.3-py3-none-manylinux2014_x86_64.whl (156.8 MB) 2025-12-04T11:02:48.2873356Z Requirement already satisfied: typing-extensions>=4.10.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from torch==2.7.1) (4.15.0) 2025-12-04T11:02:48.3541741Z Collecting networkx 2025-12-04T11:02:48.3621106Z Downloading networkx-3.2.1-py3-none-any.whl (1.6 MB) 2025-12-04T11:02:48.4162444Z Collecting nvidia-nccl-cu12==2.26.2 2025-12-04T11:02:48.4208543Z Downloading nvidia_nccl_cu12-2.26.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (201.3 MB) 2025-12-04T11:02:51.1046397Z Collecting nvidia-cublas-cu12==12.6.4.1 2025-12-04T11:02:51.1116362Z Downloading nvidia_cublas_cu12-12.6.4.1-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (393.1 MB) 2025-12-04T11:02:57.1485746Z Collecting nvidia-cufft-cu12==11.3.0.4 2025-12-04T11:02:57.1574384Z Downloading nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (200.2 MB) 2025-12-04T11:02:59.7781932Z Requirement already satisfied: setuptools>=40.8.0 in /usr/lib/python3.9/site-packages (from triton==3.3.1->torch==2.7.1) (59.6.0) 2025-12-04T11:02:59.8100408Z Collecting mpmath<1.4,>=1.1.0 2025-12-04T11:02:59.8141558Z Downloading mpmath-1.3.0-py3-none-any.whl (536 kB) 2025-12-04T11:02:59.9163889Z Requirement already satisfied: MarkupSafe>=0.23 in /usr/lib64/python3.9/site-packages (from jinja2->torch==2.7.1) (1.1.1) 2025-12-04T11:03:00.3177989Z Installing collected packages: nvidia-nvjitlink-cu12, nvidia-cusparse-cu12, nvidia-cublas-cu12, mpmath, triton, sympy, nvidia-nvtx-cu12, nvidia-nccl-cu12, nvidia-cusparselt-cu12, nvidia-cusolver-cu12, nvidia-curand-cu12, nvidia-cufile-cu12, nvidia-cufft-cu12, nvidia-cudnn-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, networkx, fsspec, filelock, torch 2025-12-04T11:03:10.2557928Z WARNING: The scripts proton and proton-viewer are installed in '/home/ec2-user/.local/bin' which is not on PATH. 2025-12-04T11:03:10.2559039Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-12-04T11:03:14.9236755Z WARNING: The script isympy is installed in '/home/ec2-user/.local/bin' which is not on PATH. 2025-12-04T11:03:14.9237743Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-12-04T11:03:48.6162350Z WARNING: The scripts torchfrtrace and torchrun are installed in '/home/ec2-user/.local/bin' which is not on PATH. 2025-12-04T11:03:48.6163460Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-12-04T11:03:48.7317835Z Successfully installed filelock-3.19.1 fsspec-2025.10.0 mpmath-1.3.0 networkx-3.2.1 nvidia-cublas-cu12-12.6.4.1 nvidia-cuda-cupti-cu12-12.6.80 nvidia-cuda-nvrtc-cu12-12.6.77 nvidia-cuda-runtime-cu12-12.6.77 nvidia-cudnn-cu12-9.5.1.17 nvidia-cufft-cu12-11.3.0.4 nvidia-cufile-cu12-1.11.1.6 nvidia-curand-cu12-10.3.7.77 nvidia-cusolver-cu12-11.7.1.2 nvidia-cusparse-cu12-12.5.4.2 nvidia-cusparselt-cu12-0.6.3 nvidia-nccl-cu12-2.26.2 nvidia-nvjitlink-cu12-12.6.85 nvidia-nvtx-cu12-12.6.77 sympy-1.14.0 torch-2.7.1 triton-3.3.1 2025-12-04T11:03:49.0881053Z + echo DEVICE_NAME= 2025-12-04T11:03:49.0881702Z + echo DEVICE_TYPE= 2025-12-04T11:03:49.0905376Z ##[group]Run set -eux 2025-12-04T11:03:49.0905687Z set -eux 2025-12-04T11:03:49.0905939Z  2025-12-04T11:03:49.0906194Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-12-04T11:03:49.0906599Z  echo "Missing github-token input" 2025-12-04T11:03:49.0906976Z  exit 1 2025-12-04T11:03:49.0907212Z fi 2025-12-04T11:03:49.0913672Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T11:03:49.0914109Z env: 2025-12-04T11:03:49.0914351Z GIT_DEFAULT_BRANCH: main 2025-12-04T11:03:49.0914653Z HAS_NVIDIA_GPU: true 2025-12-04T11:03:49.0915008Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T11:03:49.0915949Z DOCKER_CONTAINER_ID: 1552b778ab47e45fc6b314dd7b21f15baa4dd289a9054e2e7f831fe869e92691 2025-12-04T11:03:49.0916551Z DEVICE_NAME: 2025-12-04T11:03:49.0916804Z DEVICE_TYPE: 2025-12-04T11:03:49.0917321Z GITHUB_TOKEN: *** 2025-12-04T11:03:49.0917591Z ##[endgroup] 2025-12-04T11:03:49.0948303Z + [[ -z *** ]] 2025-12-04T11:03:49.1009646Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-12-04T11:03:49.1010142Z with: 2025-12-04T11:03:49.1010538Z github-token: *** 2025-12-04T11:03:49.1010802Z env: 2025-12-04T11:03:49.1011022Z GIT_DEFAULT_BRANCH: main 2025-12-04T11:03:49.1011455Z HAS_NVIDIA_GPU: true 2025-12-04T11:03:49.1011812Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T11:03:49.1012438Z DOCKER_CONTAINER_ID: 1552b778ab47e45fc6b314dd7b21f15baa4dd289a9054e2e7f831fe869e92691 2025-12-04T11:03:49.1013015Z DEVICE_NAME: 2025-12-04T11:03:49.1013266Z DEVICE_TYPE: 2025-12-04T11:03:49.1013497Z ##[endgroup] 2025-12-04T11:03:49.1029055Z ##[group]Run set -eux 2025-12-04T11:03:49.1029346Z set -eux 2025-12-04T11:03:49.1029600Z  2025-12-04T11:03:49.1030162Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-12-04T11:03:49.1036941Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T11:03:49.1037384Z env: 2025-12-04T11:03:49.1037633Z GIT_DEFAULT_BRANCH: main 2025-12-04T11:03:49.1037942Z HAS_NVIDIA_GPU: true 2025-12-04T11:03:49.1038292Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T11:03:49.1038950Z DOCKER_CONTAINER_ID: 1552b778ab47e45fc6b314dd7b21f15baa4dd289a9054e2e7f831fe869e92691 2025-12-04T11:03:49.1039553Z DEVICE_NAME: 2025-12-04T11:03:49.1039798Z DEVICE_TYPE: 2025-12-04T11:03:49.1040224Z GITHUB_TOKEN: *** 2025-12-04T11:03:49.1040494Z ##[endgroup] 2025-12-04T11:03:49.1067603Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 19922826259 i-0081c2223e23d2b92 2025-12-04T11:03:51.9559487Z setting job-id=57119749258 2025-12-04T11:03:51.9560635Z setting job-name=linux-jammy-cuda12.4-py3.10-gcc11 / test (legacy_nvidia_driver, 1, 5, linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests, unstable) 2025-12-04T11:03:51.9680409Z ##[group]Run set -eux 2025-12-04T11:03:51.9680735Z set -eux 2025-12-04T11:03:51.9680997Z  2025-12-04T11:03:51.9681232Z if [[ -n "" ]]; then 2025-12-04T11:03:51.9681552Z  source "" 2025-12-04T11:03:51.9681827Z fi 2025-12-04T11:03:51.9682071Z  2025-12-04T11:03:51.9682524Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-12-04T11:03:51.9683143Z  --schema-version "${SCHEMA_VERSION}" \ 2025-12-04T11:03:51.9683551Z  --repo "${REPO}" \ 2025-12-04T11:03:51.9684055Z  --head-branch "${HEAD_BRANCH}" \ 2025-12-04T11:03:51.9684452Z  --head-sha "${HEAD_SHA}" \ 2025-12-04T11:03:51.9684845Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-12-04T11:03:51.9685246Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-12-04T11:03:51.9685633Z  --job-id "${JOB_ID}" \ 2025-12-04T11:03:51.9685984Z  --job-name "${JOB_NAME}" 2025-12-04T11:03:51.9692646Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T11:03:51.9693082Z env: 2025-12-04T11:03:51.9693321Z GIT_DEFAULT_BRANCH: main 2025-12-04T11:03:51.9693604Z HAS_NVIDIA_GPU: true 2025-12-04T11:03:51.9693955Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T11:03:51.9694589Z DOCKER_CONTAINER_ID: 1552b778ab47e45fc6b314dd7b21f15baa4dd289a9054e2e7f831fe869e92691 2025-12-04T11:03:51.9695157Z DEVICE_NAME: 2025-12-04T11:03:51.9695391Z DEVICE_TYPE: 2025-12-04T11:03:51.9695640Z SCHEMA_VERSION: v3 2025-12-04T11:03:51.9695928Z REPO: pytorch/pytorch 2025-12-04T11:03:51.9696209Z HEAD_BRANCH: refs/heads/main 2025-12-04T11:03:51.9696576Z HEAD_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T11:03:51.9696972Z WORKFLOW_RUN_ID: 19922826259 2025-12-04T11:03:51.9697258Z RUN_ATTEMPT: 1 2025-12-04T11:03:51.9697517Z JOB_ID: 57119749258 2025-12-04T11:03:51.9698241Z JOB_NAME: linux-jammy-cuda12.4-py3.10-gcc11 / test (legacy_nvidia_driver, 1, 5, linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests, unstable) 2025-12-04T11:03:51.9699018Z ##[endgroup] 2025-12-04T11:03:51.9726586Z + [[ -n '' ]] 2025-12-04T11:03:51.9729573Z + 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 57119749258 --job-name 'linux-jammy-cuda12.4-py3.10-gcc11 / test (legacy_nvidia_driver, 1, 5, linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests, unstable)' 2025-12-04T11:03:52.0219477Z ##[group]Run set -eux 2025-12-04T11:03:52.0219780Z set -eux 2025-12-04T11:03:52.0220030Z  2025-12-04T11:03:52.0220259Z if [[ -n "" ]]; then 2025-12-04T11:03:52.0220571Z  source "" 2025-12-04T11:03:52.0220834Z fi 2025-12-04T11:03:52.0221052Z  2025-12-04T11:03:52.0221490Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-12-04T11:03:52.0227839Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T11:03:52.0228269Z env: 2025-12-04T11:03:52.0228500Z GIT_DEFAULT_BRANCH: main 2025-12-04T11:03:52.0228808Z HAS_NVIDIA_GPU: true 2025-12-04T11:03:52.0229163Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T11:03:52.0229791Z DOCKER_CONTAINER_ID: 1552b778ab47e45fc6b314dd7b21f15baa4dd289a9054e2e7f831fe869e92691 2025-12-04T11:03:52.0230367Z DEVICE_NAME: 2025-12-04T11:03:52.0230622Z DEVICE_TYPE: 2025-12-04T11:03:52.0230858Z ##[endgroup] 2025-12-04T11:03:52.0256607Z + [[ -n '' ]] 2025-12-04T11:03:52.0257532Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-12-04T11:03:53.0559611Z /home/ec2-user/.local/lib/python3.9/site-packages/torch/_subclasses/functional_tensor.py:276: UserWarning: Failed to initialize NumPy: No module named 'numpy' (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:81.) 2025-12-04T11:03:53.0561083Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-12-04T11:03:55.4141111Z ##[group]Run set -eux 2025-12-04T11:03:55.4141437Z set -eux 2025-12-04T11:03:55.4141688Z  2025-12-04T11:03:55.4141952Z # TODO (huydhn): Implement this part 2025-12-04T11:03:55.4142391Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-12-04T11:03:55.4149989Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T11:03:55.4150430Z env: 2025-12-04T11:03:55.4150674Z GIT_DEFAULT_BRANCH: main 2025-12-04T11:03:55.4150962Z HAS_NVIDIA_GPU: true 2025-12-04T11:03:55.4151315Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T11:03:55.4151960Z DOCKER_CONTAINER_ID: 1552b778ab47e45fc6b314dd7b21f15baa4dd289a9054e2e7f831fe869e92691 2025-12-04T11:03:55.4152533Z DEVICE_NAME: 2025-12-04T11:03:55.4152769Z DEVICE_TYPE: 2025-12-04T11:03:55.4153026Z ##[endgroup] 2025-12-04T11:03:55.4180712Z + echo 'dependencies={}' 2025-12-04T11:03:55.4228561Z ##[group]Run set -eux 2025-12-04T11:03:55.4228878Z set -eux 2025-12-04T11:03:55.4229126Z  2025-12-04T11:03:55.4229380Z if [[ -n "" ]]; then 2025-12-04T11:03:55.4229669Z  source "" 2025-12-04T11:03:55.4229938Z fi 2025-12-04T11:03:55.4230170Z  2025-12-04T11:03:55.4230444Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-12-04T11:03:55.4230950Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-12-04T11:03:55.4231501Z  # We don't want the job to fail if the directory doesn't exist 2025-12-04T11:03:55.4231933Z  exit 0 2025-12-04T11:03:55.4232184Z fi 2025-12-04T11:03:55.4232411Z  2025-12-04T11:03:55.4232667Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-12-04T11:03:55.4233192Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-12-04T11:03:55.4233824Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-12-04T11:03:55.4234309Z  --metadata "${BENCHMARK_METADATA}" \ 2025-12-04T11:03:55.4234699Z  --runners "${RUNNER_INFO}" \ 2025-12-04T11:03:55.4235289Z  --dependencies "${DEPENDENCIES}" \ 2025-12-04T11:03:55.4235852Z  --dry-run 2025-12-04T11:03:55.4236142Z else 2025-12-04T11:03:55.4236577Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-12-04T11:03:55.4237223Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-12-04T11:03:55.4237716Z  --metadata "${BENCHMARK_METADATA}" \ 2025-12-04T11:03:55.4238113Z  --runners "${RUNNER_INFO}" \ 2025-12-04T11:03:55.4238513Z  --dependencies "${DEPENDENCIES}" 2025-12-04T11:03:55.4238878Z fi 2025-12-04T11:03:55.4245040Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T11:03:55.4245482Z env: 2025-12-04T11:03:55.4245729Z GIT_DEFAULT_BRANCH: main 2025-12-04T11:03:55.4246039Z HAS_NVIDIA_GPU: true 2025-12-04T11:03:55.4246389Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T11:03:55.4247050Z DOCKER_CONTAINER_ID: 1552b778ab47e45fc6b314dd7b21f15baa4dd289a9054e2e7f831fe869e92691 2025-12-04T11:03:55.4247637Z DEVICE_NAME: 2025-12-04T11:03:55.4248005Z DEVICE_TYPE: 2025-12-04T11:03:55.4248288Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-12-04T11:03:55.4248647Z DRY_RUN: false 2025-12-04T11:03:55.4250423Z BENCHMARK_METADATA: {"timestamp": 1764846232, "schema_version": "v3", "name": "linux-jammy-cuda12.4-py3.10-gcc11 / test (legacy_nvidia_driver, 1, 5, linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests, unstable)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19922826259, "run_attempt": 1, "job_id": 57119749258} 2025-12-04T11:03:55.4252948Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 62, "extra_info": {"hostname": "ip-10-0-10-129.ec2.internal"}, "name": "cuda", "type": "Tesla T4", "gpu_count": 1, "avail_gpu_mem_in_gb": 14}] 2025-12-04T11:03:55.4253854Z DEPENDENCIES: {} 2025-12-04T11:03:55.4254116Z ##[endgroup] 2025-12-04T11:03:55.4278785Z + [[ -n '' ]] 2025-12-04T11:03:55.4279091Z + [[ ! -d test/test-reports ]] 2025-12-04T11:03:55.4279414Z + [[ false == \t\r\u\e ]] 2025-12-04T11:03:55.4283294Z + 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": 1764846232, "schema_version": "v3", "name": "linux-jammy-cuda12.4-py3.10-gcc11 / test (legacy_nvidia_driver, 1, 5, linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests, unstable)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19922826259, "run_attempt": 1, "job_id": 57119749258}' --runners '[{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 62, "extra_info": {"hostname": "ip-10-0-10-129.ec2.internal"}, "name": "cuda", "type": "Tesla T4", "gpu_count": 1, "avail_gpu_mem_in_gb": 14}]' --dependencies '{}' 2025-12-04T11:03:55.5997684Z /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': 'lazy/test_ts_opinfo'}], 'excluded': []} from test/test-reports/td_exclusions-f8abdb4fd99c1afe3317.json is not a benchmark record, skipping 2025-12-04T11:03:55.5999682Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T11:03:55.6091517Z /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'}, 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'torch_np/test_function_base'}, {'test_file': 'test_type_promotion'}, {'test_file': 'torch_np/test_scalars_0D_arrays'}, {'test_file': 'test_cuda_primary_ctx'}, {'test_file': 'profiler/test_profiler_tree'}, {'test_file': 'torch_np/numpy_tests/lib/test_arraysetops'}, {'test_file': 'test_dlpack'}, {'test_file': 'profiler/test_torch_tidy'}, {'test_file': 'lazy/test_reuse_ir'}, {'test_file': 'test_functional_autograd_benchmark'}, {'test_file': 'test_reductions'}, {'test_file': 'torch_np/test_reductions'}, {'test_file': 'torch_np/numpy_tests/core/test_scalar_ctors'}, {'test_file': 'torch_np/numpy_tests/lib/test_arraypad'}, {'test_file': 'test_prims'}, {'test_file': 'test_spectral_ops'}, {'test_file': 'profiler/test_python_tracer'}, {'test_file': 'cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility'}, {'test_file': 'distributions/test_distributions'}, {'test_file': 'test_autoload_disable'}, {'test_file': 'test_autoload_enable'}, {'test_file': 'test_cpp_extensions_aot_ninja'}, {'test_file': 'test_cpp_extensions_aot_no_ninja'}], 'excluded': []} from test/test-reports/td_exclusions-7981ed342efa6d16ff71.json is not a benchmark record, skipping 2025-12-04T11:03:55.6180507Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T11:03:55.6182542Z /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': 'cpp/cuda_generator_test'}], 'excluded': []} from test/test-reports/td_exclusions-8c57ea39e12d65f0bd2c.json is not a benchmark record, skipping 2025-12-04T11:03:55.6184444Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T11:03:55.6188789Z /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': 'cpp/Dict_test'}, {'test_file': 'cpp/Dimname_test'}, {'test_file': 'cpp/NamedTensor_test'}, {'test_file': 'cpp/apply_utils_test'}, {'test_file': 'cpp/atest'}, {'test_file': 'cpp/basic'}, {'test_file': 'cpp/broadcast_test'}, {'test_file': 'cpp/cpu_generator_test'}, {'test_file': 'cpp/dlconvertor_test'}, {'test_file': 'cpp/extension_backend_test'}, {'test_file': 'cpp/lazy_tensor_test'}, {'test_file': 'cpp/legacy_vmap_test'}, {'test_file': 'cpp/native_test'}, {'test_file': 'cpp/operators_test'}, {'test_file': 'cpp/scalar_tensor_test'}, {'test_file': 'cpp/scalar_test'}, {'test_file': 'cpp/tensor_iterator_test'}, {'test_file': 'cpp/undefined_tensor_test'}, {'test_file': 'cpp/wrapdim_test'}], 'excluded': []} from test/test-reports/td_exclusions-0c01aa84e1264dfd40a5.json is not a benchmark record, skipping 2025-12-04T11:03:55.6193090Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T11:03:55.6194940Z /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': 'cpp/cuda_half_test'}], 'excluded': []} from test/test-reports/td_exclusions-1f2d1a76621435f2260a.json is not a benchmark record, skipping 2025-12-04T11:03:55.6197069Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T11:03:55.6199029Z /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': 'cpp/cuda_vectorized_test'}], 'excluded': []} from test/test-reports/td_exclusions-6eabf83ec8dce1f7648d.json is not a benchmark record, skipping 2025-12-04T11:03:55.6201149Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T11:03:55.6203094Z /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': 'cpp/cuda_distributions_test'}], 'excluded': []} from test/test-reports/td_exclusions-4e7780b122c038a2b6a6.json is not a benchmark record, skipping 2025-12-04T11:03:55.6205048Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T11:03:55.6206985Z /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': 'cpp/cuda_optional_test'}], 'excluded': []} from test/test-reports/td_exclusions-68243e4fb6422848a256.json is not a benchmark record, skipping 2025-12-04T11:03:55.6208992Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T11:03:55.6210862Z /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': 'cpp/cuda_complex_test'}], 'excluded': []} from test/test-reports/td_exclusions-a37c7c07ffb73bc9aff1.json is not a benchmark record, skipping 2025-12-04T11:03:55.6212759Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T11:03:55.6214639Z /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': 'cpp/cuda_complex_math_test'}], 'excluded': []} from test/test-reports/td_exclusions-056a16e307286781c6b1.json is not a benchmark record, skipping 2025-12-04T11:03:55.6216511Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T11:03:55.6218431Z /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': 'cpp/cuda_cub_test'}], 'excluded': []} from test/test-reports/td_exclusions-69fd1d3e52f9632eda9a.json is not a benchmark record, skipping 2025-12-04T11:03:55.6220285Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T11:03:55.6222140Z /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': 'cpp/cuda_atomic_ops_test'}], 'excluded': []} from test/test-reports/td_exclusions-a91c328bacc8858d5514.json is not a benchmark record, skipping 2025-12-04T11:03:55.6224006Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T11:03:55.6225888Z 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2025-12-04T11:03:55.6264254Z cat test/**/*_toprint.log || true 2025-12-04T11:03:55.6270780Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T11:03:55.6271212Z env: 2025-12-04T11:03:55.6271461Z GIT_DEFAULT_BRANCH: main 2025-12-04T11:03:55.6271750Z HAS_NVIDIA_GPU: true 2025-12-04T11:03:55.6272106Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T11:03:55.6272756Z DOCKER_CONTAINER_ID: 1552b778ab47e45fc6b314dd7b21f15baa4dd289a9054e2e7f831fe869e92691 2025-12-04T11:03:55.6273329Z DEVICE_NAME: 2025-12-04T11:03:55.6273572Z DEVICE_TYPE: 2025-12-04T11:03:55.6273820Z ##[endgroup] 2025-12-04T11:03:55.6376289Z Test results will be stored in test-reports/python-pytest/test_ci_sanity_check_fail/test_ci_sanity_check_fail-40b90ce152223d7f.xml 2025-12-04T11:03:55.6377120Z ============================= test session starts ============================== 2025-12-04T11:03:55.6377822Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:03:55.6378567Z cachedir: .pytest_cache 2025-12-04T11:03:55.6379248Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:03:55.6380010Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:03:55.6380351Z configfile: pytest.ini 2025-12-04T11:03:55.6381157Z 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 2025-12-04T11:03:55.6381936Z collecting ... collected 2 items 2025-12-04T11:03:55.6382339Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T11:03:55.6382761Z Running 0 items in this shard: 2025-12-04T11:03:55.6382971Z 2025-12-04T11:03:55.6383667Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ci_sanity_check_fail/test_ci_sanity_check_fail-40b90ce152223d7f.xml - 2025-12-04T11:03:55.6384668Z ============================ no tests ran in 0.02s ============================= 2025-12-04T11:03:55.6429424Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-12-04T11:03:55.6429829Z kill "$MONITOR_SCRIPT_PID" 2025-12-04T11:03:55.6436224Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T11:03:55.6436657Z env: 2025-12-04T11:03:55.6436910Z GIT_DEFAULT_BRANCH: main 2025-12-04T11:03:55.6437223Z HAS_NVIDIA_GPU: true 2025-12-04T11:03:55.6437582Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T11:03:55.6438243Z DOCKER_CONTAINER_ID: 1552b778ab47e45fc6b314dd7b21f15baa4dd289a9054e2e7f831fe869e92691 2025-12-04T11:03:55.6438836Z DEVICE_NAME: 2025-12-04T11:03:55.6439103Z DEVICE_TYPE: 2025-12-04T11:03:55.6439364Z MONITOR_SCRIPT_PID: 68798 2025-12-04T11:03:55.6439677Z ##[endgroup] 2025-12-04T11:03:55.6464266Z /home/ec2-user/actions-runner/_work/_temp/2930d2e5-ebde-4153-bd50-783b821bb49c.sh: line 1: kill: (68798) - No such process 2025-12-04T11:03:55.6475775Z ##[error]Process completed with exit code 1. 2025-12-04T11:03:55.6634367Z Prepare all required actions 2025-12-04T11:03:55.6634823Z Getting action download info 2025-12-04T11:03:55.8605620Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-12-04T11:03:56.6052433Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-12-04T11:03:59.0675757Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-12-04T11:03:59.0676161Z with: 2025-12-04T11:03:59.0676641Z file-suffix: test-legacy_nvidia_driver-1-5-linux.g4dn.4xlarge.nvidia.gpu_57119749258 2025-12-04T11:03:59.0677242Z s3-bucket: gha-artifacts 2025-12-04T11:03:59.0677539Z env: 2025-12-04T11:03:59.0677769Z GIT_DEFAULT_BRANCH: main 2025-12-04T11:03:59.0678073Z HAS_NVIDIA_GPU: true 2025-12-04T11:03:59.0678439Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T11:03:59.0679203Z DOCKER_CONTAINER_ID: 1552b778ab47e45fc6b314dd7b21f15baa4dd289a9054e2e7f831fe869e92691 2025-12-04T11:03:59.0679843Z DEVICE_NAME: 2025-12-04T11:03:59.0680087Z DEVICE_TYPE: 2025-12-04T11:03:59.0680338Z ##[endgroup] 2025-12-04T11:03:59.0747533Z ##[group]Run # Remove any previous test jsons if they exist 2025-12-04T11:03:59.0748434Z # Remove any previous test jsons if they exist 2025-12-04T11:03:59.0749184Z rm -f test-jsons-*.zip 2025-12-04T11:03:59.0750046Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-12-04T11:03:59.0760435Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T11:03:59.0761186Z env: 2025-12-04T11:03:59.0761599Z GIT_DEFAULT_BRANCH: main 2025-12-04T11:03:59.0762127Z HAS_NVIDIA_GPU: true 2025-12-04T11:03:59.0762717Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T11:03:59.0763758Z DOCKER_CONTAINER_ID: 1552b778ab47e45fc6b314dd7b21f15baa4dd289a9054e2e7f831fe869e92691 2025-12-04T11:03:59.0764726Z DEVICE_NAME: 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test/test-reports/torch_np.test_indexing_1.1_21b8368487e25cfe_.log (deflated 50%) 2025-12-04T11:03:59.3180393Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-12-04T11:03:59.3181003Z # Remove any previous debugging artifacts if they exist 2025-12-04T11:03:59.3181477Z rm -f debug-*.zip 2025-12-04T11:03:59.3181800Z if [ -d 'test/debug' ]; then 2025-12-04T11:03:59.3182204Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-12-04T11:03:59.3182575Z fi 2025-12-04T11:03:59.3188825Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T11:03:59.3189255Z env: 2025-12-04T11:03:59.3189484Z GIT_DEFAULT_BRANCH: main 2025-12-04T11:03:59.3189783Z HAS_NVIDIA_GPU: true 2025-12-04T11:03:59.3190132Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T11:03:59.3190816Z DOCKER_CONTAINER_ID: 1552b778ab47e45fc6b314dd7b21f15baa4dd289a9054e2e7f831fe869e92691 2025-12-04T11:03:59.3191384Z DEVICE_NAME: 2025-12-04T11:03:59.3191641Z DEVICE_TYPE: 2025-12-04T11:03:59.3192099Z FILE_SUFFIX: test-legacy_nvidia_driver-1-5-linux.g4dn.4xlarge.nvidia.gpu_57119749258 2025-12-04T11:03:59.3192654Z ##[endgroup] 2025-12-04T11:03:59.3335527Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T11:03:59.3335918Z with: 2025-12-04T11:03:59.3336169Z s3-bucket: gha-artifacts 2025-12-04T11:03:59.3336521Z s3-prefix: pytorch/pytorch/19922826259/1/artifact 2025-12-04T11:03:59.3336921Z retention-days: 14 2025-12-04T11:03:59.3337208Z if-no-files-found: warn 2025-12-04T11:03:59.3337496Z path: test-jsons-*.zip 2025-12-04T11:03:59.3337780Z name: artifact 2025-12-04T11:03:59.3338036Z region: us-east-1 2025-12-04T11:03:59.3338274Z env: 2025-12-04T11:03:59.3338505Z GIT_DEFAULT_BRANCH: main 2025-12-04T11:03:59.3338800Z HAS_NVIDIA_GPU: true 2025-12-04T11:03:59.3339147Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T11:03:59.3339788Z DOCKER_CONTAINER_ID: 1552b778ab47e45fc6b314dd7b21f15baa4dd289a9054e2e7f831fe869e92691 2025-12-04T11:03:59.3340352Z DEVICE_NAME: 2025-12-04T11:03:59.3340606Z DEVICE_TYPE: 2025-12-04T11:03:59.3340839Z ##[endgroup] 2025-12-04T11:03:59.8077807Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T11:03:59.8078358Z With the provided path, there will be 1 file uploaded 2025-12-04T11:03:59.8078910Z Uploading to s3 prefix: pytorch/pytorch/19922826259/1/artifact 2025-12-04T11:03:59.8133148Z Starting upload of test-jsons-test-legacy_nvidia_driver-1-5-linux.g4dn.4xlarge.nvidia.gpu_57119749258.zip 2025-12-04T11:03:59.9545769Z Finished upload of test-jsons-test-legacy_nvidia_driver-1-5-linux.g4dn.4xlarge.nvidia.gpu_57119749258.zip 2025-12-04T11:03:59.9754829Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T11:03:59.9755270Z with: 2025-12-04T11:03:59.9755522Z s3-bucket: gha-artifacts 2025-12-04T11:03:59.9756096Z s3-prefix: pytorch/pytorch/19922826259/1/artifact 2025-12-04T11:03:59.9756489Z retention-days: 14 2025-12-04T11:03:59.9756785Z if-no-files-found: error 2025-12-04T11:03:59.9757108Z path: test-reports-*.zip 2025-12-04T11:03:59.9757398Z name: artifact 2025-12-04T11:03:59.9757660Z region: us-east-1 2025-12-04T11:03:59.9757916Z env: 2025-12-04T11:03:59.9758142Z GIT_DEFAULT_BRANCH: main 2025-12-04T11:03:59.9758446Z HAS_NVIDIA_GPU: true 2025-12-04T11:03:59.9758923Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T11:03:59.9759592Z DOCKER_CONTAINER_ID: 1552b778ab47e45fc6b314dd7b21f15baa4dd289a9054e2e7f831fe869e92691 2025-12-04T11:03:59.9760165Z DEVICE_NAME: 2025-12-04T11:03:59.9760424Z DEVICE_TYPE: 2025-12-04T11:03:59.9760679Z ##[endgroup] 2025-12-04T11:04:00.5863548Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T11:04:00.5864075Z With the provided path, there will be 1 file uploaded 2025-12-04T11:04:00.5864590Z Uploading to s3 prefix: pytorch/pytorch/19922826259/1/artifact 2025-12-04T11:04:00.5919024Z Starting upload of test-reports-test-legacy_nvidia_driver-1-5-linux.g4dn.4xlarge.nvidia.gpu_57119749258.zip 2025-12-04T11:04:00.7426799Z Finished upload of test-reports-test-legacy_nvidia_driver-1-5-linux.g4dn.4xlarge.nvidia.gpu_57119749258.zip 2025-12-04T11:04:00.7638178Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T11:04:00.7638555Z with: 2025-12-04T11:04:00.7638814Z s3-bucket: gha-artifacts 2025-12-04T11:04:00.7639199Z s3-prefix: pytorch/pytorch/19922826259/1/artifact 2025-12-04T11:04:00.7639592Z retention-days: 14 2025-12-04T11:04:00.7639897Z if-no-files-found: ignore 2025-12-04T11:04:00.7640206Z path: logs-*.zip 2025-12-04T11:04:00.7640453Z name: artifact 2025-12-04T11:04:00.7640711Z region: us-east-1 2025-12-04T11:04:00.7640966Z env: 2025-12-04T11:04:00.7641188Z GIT_DEFAULT_BRANCH: main 2025-12-04T11:04:00.7641491Z HAS_NVIDIA_GPU: true 2025-12-04T11:04:00.7641857Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T11:04:00.7642626Z DOCKER_CONTAINER_ID: 1552b778ab47e45fc6b314dd7b21f15baa4dd289a9054e2e7f831fe869e92691 2025-12-04T11:04:00.7643197Z DEVICE_NAME: 2025-12-04T11:04:00.7643454Z DEVICE_TYPE: 2025-12-04T11:04:00.7643711Z ##[endgroup] 2025-12-04T11:04:01.1303942Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T11:04:01.1304548Z With the provided path, there will be 1 file uploaded 2025-12-04T11:04:01.1305062Z Uploading to s3 prefix: pytorch/pytorch/19922826259/1/artifact 2025-12-04T11:04:01.1358770Z Starting upload of logs-test-legacy_nvidia_driver-1-5-linux.g4dn.4xlarge.nvidia.gpu_57119749258.zip 2025-12-04T11:04:01.2923039Z Finished upload of logs-test-legacy_nvidia_driver-1-5-linux.g4dn.4xlarge.nvidia.gpu_57119749258.zip 2025-12-04T11:04:01.3134862Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T11:04:01.3135231Z with: 2025-12-04T11:04:01.3135480Z s3-bucket: gha-artifacts 2025-12-04T11:04:01.3135841Z s3-prefix: pytorch/pytorch/19922826259/1/artifact 2025-12-04T11:04:01.3136238Z retention-days: 14 2025-12-04T11:04:01.3136519Z if-no-files-found: ignore 2025-12-04T11:04:01.3136821Z path: debug-*.zip 2025-12-04T11:04:01.3137064Z name: artifact 2025-12-04T11:04:01.3137312Z region: us-east-1 2025-12-04T11:04:01.3137554Z env: 2025-12-04T11:04:01.3137793Z GIT_DEFAULT_BRANCH: main 2025-12-04T11:04:01.3138075Z HAS_NVIDIA_GPU: true 2025-12-04T11:04:01.3138428Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T11:04:01.3139063Z DOCKER_CONTAINER_ID: 1552b778ab47e45fc6b314dd7b21f15baa4dd289a9054e2e7f831fe869e92691 2025-12-04T11:04:01.3139766Z DEVICE_NAME: 2025-12-04T11:04:01.3140020Z DEVICE_TYPE: 2025-12-04T11:04:01.3140272Z ##[endgroup] 2025-12-04T11:04:01.6728543Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-12-04T11:04:01.6924968Z ##[group]Run # shellcheck disable=SC2156 2025-12-04T11:04:01.6925403Z # shellcheck disable=SC2156 2025-12-04T11:04:01.6926088Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-12-04T11:04:01.6933833Z shell: /usr/bin/bash -e {0} 2025-12-04T11:04:01.6934139Z env: 2025-12-04T11:04:01.6934382Z GIT_DEFAULT_BRANCH: main 2025-12-04T11:04:01.6934668Z HAS_NVIDIA_GPU: true 2025-12-04T11:04:01.6935022Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T11:04:01.6935656Z DOCKER_CONTAINER_ID: 1552b778ab47e45fc6b314dd7b21f15baa4dd289a9054e2e7f831fe869e92691 2025-12-04T11:04:01.6936322Z DEVICE_NAME: 2025-12-04T11:04:01.6936561Z DEVICE_TYPE: 2025-12-04T11:04:01.6936814Z ##[endgroup] 2025-12-04T11:04:02.1097543Z Prepare all required actions 2025-12-04T11:04:02.1098029Z Getting action download info 2025-12-04T11:04:02.2635121Z Download action repository 'actions/setup-python@v6' (SHA:83679a892e2d95755f2dac6acb0bfd1e9ac5d548) 2025-12-04T11:04:04.0747260Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-12-04T11:04:04.0747667Z with: 2025-12-04T11:04:04.0747918Z job_id: 57119749258 2025-12-04T11:04:04.0748647Z job_name: linux-jammy-cuda12.4-py3.10-gcc11 / test (legacy_nvidia_driver, 1, 5, linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests, unstable) 2025-12-04T11:04:04.0749450Z workflow_name: periodic 2025-12-04T11:04:04.0749740Z workflow_run_id: 19922826259 2025-12-04T11:04:04.0750070Z workflow_attempt: 1 2025-12-04T11:04:04.0750342Z env: 2025-12-04T11:04:04.0750565Z GIT_DEFAULT_BRANCH: main 2025-12-04T11:04:04.0750875Z HAS_NVIDIA_GPU: true 2025-12-04T11:04:04.0751236Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T11:04:04.0751920Z DOCKER_CONTAINER_ID: 1552b778ab47e45fc6b314dd7b21f15baa4dd289a9054e2e7f831fe869e92691 2025-12-04T11:04:04.0752488Z DEVICE_NAME: 2025-12-04T11:04:04.0752730Z DEVICE_TYPE: 2025-12-04T11:04:04.0752976Z ##[endgroup] 2025-12-04T11:04:04.0809500Z ##[group]Run actions/setup-python@v6 2025-12-04T11:04:04.0809854Z with: 2025-12-04T11:04:04.0810109Z python-version: 3.10 2025-12-04T11:04:04.0810510Z check-latest: false 2025-12-04T11:04:04.0833144Z token: *** 2025-12-04T11:04:04.0833422Z update-environment: true 2025-12-04T11:04:04.0833731Z allow-prereleases: false 2025-12-04T11:04:04.0834026Z freethreaded: false 2025-12-04T11:04:04.0834281Z env: 2025-12-04T11:04:04.0834491Z GIT_DEFAULT_BRANCH: main 2025-12-04T11:04:04.0834771Z HAS_NVIDIA_GPU: true 2025-12-04T11:04:04.0835116Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T11:04:04.0836039Z DOCKER_CONTAINER_ID: 1552b778ab47e45fc6b314dd7b21f15baa4dd289a9054e2e7f831fe869e92691 2025-12-04T11:04:04.0836607Z DEVICE_NAME: 2025-12-04T11:04:04.0836855Z DEVICE_TYPE: 2025-12-04T11:04:04.0837091Z ##[endgroup] 2025-12-04T11:04:04.2715960Z ##[group]Installed versions 2025-12-04T11:04:04.2726177Z Version 3.10 was not found in the local cache 2025-12-04T11:04:04.2923367Z (node:102294) [DEP0040] DeprecationWarning: The `punycode` module is deprecated. Please use a userland alternative instead. 2025-12-04T11:04:04.2924311Z (Use `node --trace-deprecation ...` to show where the warning was created) 2025-12-04T11:04:04.6415830Z ##[error]The version '3.10' with architecture 'x64' was not found for this operating system. The list of all available versions can be found here: https://raw.githubusercontent.com/actions/python-versions/main/versions-manifest.json 2025-12-04T11:04:04.6578961Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-12-04T11:04:04.6579462Z with: 2025-12-04T11:04:04.6579691Z env: 2025-12-04T11:04:04.6579914Z GIT_DEFAULT_BRANCH: main 2025-12-04T11:04:04.6580215Z HAS_NVIDIA_GPU: true 2025-12-04T11:04:04.6580575Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T11:04:04.6581197Z DOCKER_CONTAINER_ID: 1552b778ab47e45fc6b314dd7b21f15baa4dd289a9054e2e7f831fe869e92691 2025-12-04T11:04:04.6581766Z DEVICE_NAME: 2025-12-04T11:04:04.6582018Z DEVICE_TYPE: 2025-12-04T11:04:04.6582251Z ##[endgroup] 2025-12-04T11:04:04.6615986Z ##[group]Run set -eou pipefail 2025-12-04T11:04:04.6616343Z set -eou pipefail 2025-12-04T11:04:04.6616639Z  2025-12-04T11:04:04.6617051Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-12-04T11:04:04.6617583Z for _ in $(seq 1440); do 2025-12-04T11:04:04.6617994Z  # Break if no ssh session exists anymore 2025-12-04T11:04:04.6618378Z  if [ "$(who)" = "" ]; then 2025-12-04T11:04:04.6618792Z  break 2025-12-04T11:04:04.6619166Z  fi 2025-12-04T11:04:04.6619423Z  echo "." 2025-12-04T11:04:04.6619702Z  sleep 5 2025-12-04T11:04:04.6619973Z done 2025-12-04T11:04:04.6626445Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T11:04:04.6626879Z env: 2025-12-04T11:04:04.6627125Z GIT_DEFAULT_BRANCH: main 2025-12-04T11:04:04.6627414Z HAS_NVIDIA_GPU: true 2025-12-04T11:04:04.6627770Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T11:04:04.6628411Z DOCKER_CONTAINER_ID: 1552b778ab47e45fc6b314dd7b21f15baa4dd289a9054e2e7f831fe869e92691 2025-12-04T11:04:04.6628974Z DEVICE_NAME: 2025-12-04T11:04:04.6629233Z DEVICE_TYPE: 2025-12-04T11:04:04.6629485Z ##[endgroup] 2025-12-04T11:04:04.6657202Z Holding runner for 2 hours until all ssh sessions have logged out 2025-12-04T11:04:04.7002154Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T11:04:04.7002801Z # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T11:04:04.7003313Z # shellcheck disable=SC2046 2025-12-04T11:04:04.7003703Z docker stop $(docker ps -q) || true 2025-12-04T11:04:04.7004101Z # Prune all of the docker images 2025-12-04T11:04:04.7004467Z docker system prune -af 2025-12-04T11:04:04.7010992Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T11:04:04.7011419Z env: 2025-12-04T11:04:04.7011651Z GIT_DEFAULT_BRANCH: main 2025-12-04T11:04:04.7011949Z HAS_NVIDIA_GPU: true 2025-12-04T11:04:04.7012398Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T11:04:04.7013019Z DOCKER_CONTAINER_ID: 1552b778ab47e45fc6b314dd7b21f15baa4dd289a9054e2e7f831fe869e92691 2025-12-04T11:04:04.7013588Z DEVICE_NAME: 2025-12-04T11:04:04.7013838Z DEVICE_TYPE: 2025-12-04T11:04:04.7014089Z ##[endgroup] 2025-12-04T11:04:18.4698920Z 1552b778ab47 2025-12-04T11:04:19.0250331Z Deleted Containers: 2025-12-04T11:04:19.0250814Z 1552b778ab47e45fc6b314dd7b21f15baa4dd289a9054e2e7f831fe869e92691 2025-12-04T11:04:19.0251234Z 2025-12-04T11:04:26.4209110Z Deleted Images: 2025-12-04T11:04:26.4210121Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T11:04:26.4211596Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image@sha256:ae30f11a5b50741bd652aa0c94ad89ef791c4e50157eff642748620825cf7940 2025-12-04T11:04:26.4212636Z deleted: sha256:5465aa79632b68f6240c23f0d0b021df4d0fd595333b61a40d36a0cf73656024 2025-12-04T11:04:26.4213387Z deleted: sha256:f57a578c46f36a858c2be92210a89558688ee36b619af78c698952c0e3ef05ad 2025-12-04T11:04:26.4214130Z deleted: sha256:ce0698bd1efc811ccead0ecdad944b4839bf17bff387495b58e64cf8db0e210c 2025-12-04T11:04:26.4215168Z deleted: 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