2025-12-04T08:46:37.1142307Z Current runner version: '2.330.0' 2025-12-04T08:46:37.1149370Z Runner name: 'i-0e83b23e12799110f' 2025-12-04T08:46:37.1150303Z Runner group name: 'default' 2025-12-04T08:46:37.1151227Z Machine name: 'ip-10-0-58-133' 2025-12-04T08:46:37.1154180Z ##[group]GITHUB_TOKEN Permissions 2025-12-04T08:46:37.1156763Z Contents: read 2025-12-04T08:46:37.1157384Z Metadata: read 2025-12-04T08:46:37.1157967Z ##[endgroup] 2025-12-04T08:46:37.1160482Z Secret source: Actions 2025-12-04T08:46:37.1161319Z Prepare workflow directory 2025-12-04T08:46:37.1727337Z Prepare all required actions 2025-12-04T08:46:37.1770811Z Getting action download info 2025-12-04T08:46:37.5732243Z Download action repository 'pytorch/test-infra@main' (SHA:39aa74d619174326f4e2fb0e216151c2f29d9ffd) 2025-12-04T08:46:39.8117020Z Download action repository 'pytorch/pytorch@main' (SHA:ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32) 2025-12-04T08:46:54.3595951Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-12-04T08:46:54.7110373Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-12-04T08:46:54.9543277Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-12-04T08:46:55.1185100Z Download action repository 'seemethere/download-artifact-s3@1da556a7aa0a088e3153970611f6c432d58e80e6' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-12-04T08:46:55.3446982Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-12-04T08:46:55.6499568Z Getting action download info 2025-12-04T08:46:55.7741260Z Download action repository 'actions/checkout@v4' (SHA:34e114876b0b11c390a56381ad16ebd13914f8d5) 2025-12-04T08:46:56.0678183Z Getting action download info 2025-12-04T08:46:56.1886377Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-12-04T08:46:56.3993467Z Getting action download info 2025-12-04T08:46:56.5513255Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-12-04T08:46:56.7510345Z Getting action download info 2025-12-04T08:46:56.9311936Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32) 2025-12-04T08:46:56.9316188Z ##[group] Inputs 2025-12-04T08:46:56.9316604Z build-environment: linux-jammy-py3.14-clang12 2025-12-04T08:46:56.9322445Z test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "openreg", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}]} 2025-12-04T08:46:56.9328843Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:46:56.9329690Z sync-tag: 2025-12-04T08:46:56.9330613Z timeout-minutes: 240 2025-12-04T08:46:56.9330895Z use-gha: 2025-12-04T08:46:56.9331132Z dashboard-tag: 2025-12-04T08:46:56.9331381Z s3-bucket: gha-artifacts 2025-12-04T08:46:56.9331674Z aws-role-to-assume: 2025-12-04T08:46:56.9332301Z disable-monitor: false 2025-12-04T08:46:56.9332618Z monitor-log-interval: 5 2025-12-04T08:46:56.9332942Z monitor-data-collect-interval: 1 2025-12-04T08:46:56.9333283Z ##[endgroup] 2025-12-04T08:46:56.9333841Z Complete job name: linux-jammy-py3.14-clang12 / test (default, 1, 5, linux.4xlarge, rerun_disabled_tests) 2025-12-04T08:46:56.9895746Z A job started hook has been configured by the self-hosted runner administrator 2025-12-04T08:46:57.0005147Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-12-04T08:46:57.0014696Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:46:57.0015733Z ##[endgroup] 2025-12-04T08:46:58.3311926Z Runner Type: linux.4xlarge 2025-12-04T08:46:58.3312436Z Instance Type: c5.4xlarge 2025-12-04T08:46:58.3312735Z AMI Name: unknown 2025-12-04T08:46:58.3346624Z AMI ID: ami-08982f1c5bf93d976 2025-12-04T08:47:04.1529069Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-12-04T08:47:04.1529565Z with: 2025-12-04T08:47:04.1530157Z github-secret: *** 2025-12-04T08:47:04.1530946Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-12-04T08:47:04.1531801Z activate-with-label: false 2025-12-04T08:47:04.1532102Z label: with-ssh 2025-12-04T08:47:04.1532374Z remove-existing-keys: true 2025-12-04T08:47:04.1532675Z fail-silently: true 2025-12-04T08:47:04.1532974Z env: 2025-12-04T08:47:04.1533203Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:47:04.1533495Z ##[endgroup] 2025-12-04T08:47:04.3027346Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-12-04T08:47:04.3028985Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-12-04T08:47:04.3361587Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-12-04T08:47:04.3362078Z with: 2025-12-04T08:47:04.3362319Z no-sudo: true 2025-12-04T08:47:04.3362570Z submodules: recursive 2025-12-04T08:47:04.3362856Z fetch-depth: 0 2025-12-04T08:47:04.3363107Z env: 2025-12-04T08:47:04.3363339Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:47:04.3363604Z ##[endgroup] 2025-12-04T08:47:04.3447025Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:47:04.3448171Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:47:04.3459191Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:47:04.3459623Z env: 2025-12-04T08:47:04.3459887Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:47:04.3460221Z ##[endgroup] 2025-12-04T08:47:04.3577354Z ##[group]Run # Use all available CPUs for fetching 2025-12-04T08:47:04.3577856Z # Use all available CPUs for fetching 2025-12-04T08:47:04.3578229Z cd "${GITHUB_WORKSPACE}" 2025-12-04T08:47:04.3578608Z git config --global fetch.parallel 0 2025-12-04T08:47:04.3579137Z git config --global submodule.fetchJobs 0 2025-12-04T08:47:04.3579505Z  2025-12-04T08:47:04.3579903Z # Clean workspace. The default checkout action should also do this, but 2025-12-04T08:47:04.3580488Z # do it here as well just in case 2025-12-04T08:47:04.3581031Z if [[ -d .git ]]; then 2025-12-04T08:47:04.3581360Z  if [ -z "${NO_SUDO}" ]; then 2025-12-04T08:47:04.3581708Z  sudo git clean -ffdx 2025-12-04T08:47:04.3582021Z  else 2025-12-04T08:47:04.3582270Z  git clean -ffdx 2025-12-04T08:47:04.3582561Z  fi 2025-12-04T08:47:04.3582802Z fi 2025-12-04T08:47:04.3589233Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:47:04.3589655Z env: 2025-12-04T08:47:04.3589901Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:47:04.3590175Z NO_SUDO: true 2025-12-04T08:47:04.3590423Z ##[endgroup] 2025-12-04T08:47:04.3719626Z ##[group]Run actions/checkout@v4 2025-12-04T08:47:04.3719954Z with: 2025-12-04T08:47:04.3720227Z ref: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:47:04.3720588Z fetch-depth: 0 2025-12-04T08:47:04.3720834Z submodules: recursive 2025-12-04T08:47:04.3721113Z show-progress: false 2025-12-04T08:47:04.3721414Z repository: pytorch/pytorch 2025-12-04T08:47:04.3721961Z token: *** 2025-12-04T08:47:04.3722213Z ssh-strict: true 2025-12-04T08:47:04.3722466Z ssh-user: git 2025-12-04T08:47:04.3722729Z persist-credentials: true 2025-12-04T08:47:04.3723006Z clean: true 2025-12-04T08:47:04.3723270Z sparse-checkout-cone-mode: true 2025-12-04T08:47:04.3723595Z fetch-tags: false 2025-12-04T08:47:04.3723832Z lfs: false 2025-12-04T08:47:04.3724081Z set-safe-directory: true 2025-12-04T08:47:04.3724360Z env: 2025-12-04T08:47:04.3724579Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:47:04.3724837Z ##[endgroup] 2025-12-04T08:47:04.4858025Z Syncing repository: pytorch/pytorch 2025-12-04T08:47:04.4859704Z ##[group]Getting Git version info 2025-12-04T08:47:04.4860245Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-12-04T08:47:04.4861004Z [command]/usr/bin/git version 2025-12-04T08:47:04.5003768Z git version 2.50.1 2025-12-04T08:47:04.5048342Z ##[endgroup] 2025-12-04T08:47:04.5059440Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/f52fc483-85cd-4278-890a-42968ee3c134/.gitconfig' 2025-12-04T08:47:04.5078922Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/f52fc483-85cd-4278-890a-42968ee3c134' before making global git config changes 2025-12-04T08:47:04.5080000Z Adding repository directory to the temporary git global config as a safe directory 2025-12-04T08:47:04.5084699Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T08:47:04.5155943Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-12-04T08:47:04.5159451Z ##[group]Initializing the repository 2025-12-04T08:47:04.5164047Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T08:47:04.5233462Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-12-04T08:47:04.5234104Z hint: is subject to change. To configure the initial branch name to use in all 2025-12-04T08:47:04.5234771Z hint: of your new repositories, which will suppress this warning, call: 2025-12-04T08:47:04.5235226Z hint: 2025-12-04T08:47:04.5235544Z hint: git config --global init.defaultBranch 2025-12-04T08:47:04.5235917Z hint: 2025-12-04T08:47:04.5236275Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-12-04T08:47:04.5236909Z hint: 'development'. The just-created branch can be renamed via this command: 2025-12-04T08:47:04.5237378Z hint: 2025-12-04T08:47:04.5237616Z hint: git branch -m 2025-12-04T08:47:04.5237903Z hint: 2025-12-04T08:47:04.5238302Z hint: Disable this message with "git config set advice.defaultBranchName false" 2025-12-04T08:47:04.5239054Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-12-04T08:47:04.5245400Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-12-04T08:47:04.5282467Z ##[endgroup] 2025-12-04T08:47:04.5283194Z ##[group]Disabling automatic garbage collection 2025-12-04T08:47:04.5286965Z [command]/usr/bin/git config --local gc.auto 0 2025-12-04T08:47:04.5314550Z ##[endgroup] 2025-12-04T08:47:04.5314965Z ##[group]Setting up auth 2025-12-04T08:47:04.5321551Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-12-04T08:47:04.5351545Z [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' || :" 2025-12-04T08:47:04.5696424Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-12-04T08:47:04.5726498Z [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' || :" 2025-12-04T08:47:04.6071678Z [command]/usr/bin/git config --local --name-only --get-regexp ^includeIf\.gitdir: 2025-12-04T08:47:04.6105243Z [command]/usr/bin/git submodule foreach --recursive git config --local --show-origin --name-only --get-regexp remote.origin.url 2025-12-04T08:47:04.6436572Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-12-04T08:47:04.6490581Z ##[endgroup] 2025-12-04T08:47:04.6491033Z ##[group]Fetching the repository 2025-12-04T08:47:04.6499531Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-12-04T08:47:58.4660155Z From https://github.com/pytorch/pytorch 2025-12-04T08:47:58.4660716Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-12-04T08:47:58.4661352Z * [new branch] 2.9.1 -> origin/2.9.1 2025-12-04T08:47:58.4661978Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-12-04T08:47:58.4662721Z * [new branch] Flamefire-patch-1 -> origin/Flamefire-patch-1 2025-12-04T08:47:58.4664626Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-12-04T08:47:58.4666344Z * [new branch] HOPrintFunc -> origin/HOPrintFunc 2025-12-04T08:47:58.4669189Z * [new branch] IvanKobzarev/stack/1 -> origin/IvanKobzarev/stack/1 2025-12-04T08:47:58.4672354Z * [new branch] NicoshevSVE128 -> origin/NicoshevSVE128 2025-12-04T08:47:58.4674170Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-12-04T08:47:58.4676224Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-12-04T08:47:58.4678216Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-12-04T08:47:58.4679889Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-12-04T08:47:58.4681810Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-12-04T08:47:58.4683696Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-12-04T08:47:58.4685458Z * [new branch] VLA_exp -> origin/VLA_exp 2025-12-04T08:47:58.4687960Z * [new branch] activation_bench -> origin/activation_bench 2025-12-04T08:47:58.4689988Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-12-04T08:47:58.4692196Z * [new branch] adi/onednn_aarch64 -> origin/adi/onednn_aarch64 2025-12-04T08:47:58.4694047Z * [new branch] adi/test -> origin/adi/test 2025-12-04T08:47:58.4695875Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-12-04T08:47:58.4697726Z * [new branch] adi/test_m8g -> origin/adi/test_m8g 2025-12-04T08:47:58.4699661Z * [new branch] adi/test_onednn -> origin/adi/test_onednn 2025-12-04T08:47:58.4701444Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-12-04T08:47:58.4703657Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-12-04T08:47:58.4705247Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-12-04T08:47:58.4707367Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-12-04T08:47:58.4710001Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-12-04T08:47:58.4711936Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-12-04T08:47:58.4713954Z * [new branch] albanD-patch-1 -> origin/albanD-patch-1 2025-12-04T08:47:58.4715629Z * [new branch] also-surround-shimh -> origin/also-surround-shimh 2025-12-04T08:47:58.4718059Z * [new branch] angelayi/aot_compile -> origin/angelayi/aot_compile 2025-12-04T08:47:58.4719843Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-12-04T08:47:58.4721639Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-12-04T08:47:58.4723580Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-12-04T08:47:58.4725283Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-12-04T08:47:58.4727105Z * [new branch] angelayi/inductor_const -> origin/angelayi/inductor_const 2025-12-04T08:47:58.4728765Z * [new branch] angelayi/lstm -> origin/angelayi/lstm 2025-12-04T08:47:58.4731094Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-12-04T08:47:58.4733186Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-12-04T08:47:58.4734971Z * [new branch] angelayi/side_eff -> origin/angelayi/side_eff 2025-12-04T08:47:58.4736785Z * [new branch] angelayi/state_dict -> origin/angelayi/state_dict 2025-12-04T08:47:58.4738664Z * [new branch] angelayi/symint_input -> origin/angelayi/symint_input 2025-12-04T08:47:58.4740772Z * [new branch] angelayi/symm_mem -> origin/angelayi/symm_mem 2025-12-04T08:47:58.4742416Z * [new branch] angelayi/test_cpp -> origin/angelayi/test_cpp 2025-12-04T08:47:58.4744266Z * [new branch] angelayi/torch_size -> origin/angelayi/torch_size 2025-12-04T08:47:58.4745996Z * [new branch] annotate_assert -> origin/annotate_assert 2025-12-04T08:47:58.4747876Z * [new branch] annotate_fallback_kernel -> origin/annotate_fallback_kernel 2025-12-04T08:47:58.4749636Z * [new branch] annotation_deepcopy -> origin/annotation_deepcopy 2025-12-04T08:47:58.4751385Z * [new branch] annotation_dynamo -> origin/annotation_dynamo 2025-12-04T08:47:58.4753190Z * [new branch] aot_eager_stack_trace -> origin/aot_eager_stack_trace 2025-12-04T08:47:58.4754995Z * [new 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branch] zb2p -> origin/zb2p 2025-12-04T08:47:59.2817758Z * [new branch] zeros-and-scatter-part2 -> origin/zeros-and-scatter-part2 2025-12-04T08:47:59.2820381Z * [new branch] zhxchen17/ci/vllm_lora_oom -> origin/zhxchen17/ci/vllm_lora_oom 2025-12-04T08:47:59.2821980Z * [new branch] zhxchen17/ci/vllm_multimodal_oom -> origin/zhxchen17/ci/vllm_multimodal_oom 2025-12-04T08:47:59.2823444Z * [new branch] zhxchen17/ci/vllm_pin -> origin/zhxchen17/ci/vllm_pin 2025-12-04T08:47:59.2825642Z * [new branch] zhxchen17/dynamo/unsafe_drop_all_guards -> origin/zhxchen17/dynamo/unsafe_drop_all_guards 2025-12-04T08:47:59.2827509Z * [new branch] zhxchen17/export/call_override -> origin/zhxchen17/export/call_override 2025-12-04T08:47:59.2829022Z * [new branch] zhxchen17/export/codemod1 -> origin/zhxchen17/export/codemod1 2025-12-04T08:47:59.2830659Z * [new branch] zhxchen17/export/ctx_return -> origin/zhxchen17/export/ctx_return 2025-12-04T08:47:59.2832372Z * [new branch] 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branch] zxiiro/c7i.2xlarge -> origin/zxiiro/c7i.2xlarge 2025-12-04T08:47:59.2850795Z * [new branch] zxiiro/c7i.2xlarge.h100 -> origin/zxiiro/c7i.2xlarge.h100 2025-12-04T08:47:59.2852314Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-12-04T08:47:59.2853872Z * [new branch] zxiiro/risc64 -> origin/zxiiro/risc64 2025-12-04T08:47:59.2855492Z * [new branch] zxiiro/test-multicloud-arc -> origin/zxiiro/test-multicloud-arc 2025-12-04T08:47:59.2857156Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-12-04T08:47:59.2858368Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-12-04T08:47:59.2859851Z * [new tag] ciflow/b200/115316 -> ciflow/b200/115316 2025-12-04T08:47:59.2860991Z * [new tag] ciflow/b200/160685 -> ciflow/b200/160685 2025-12-04T08:47:59.2862209Z * [new tag] ciflow/b200/161607 -> ciflow/b200/161607 2025-12-04T08:47:59.2863341Z * [new tag] ciflow/b200/161938 -> ciflow/b200/161938 2025-12-04T08:47:59.2864579Z * [new tag] ciflow/b200/167207 -> ciflow/b200/167207 2025-12-04T08:47:59.2865670Z * [new tag] ciflow/b200/167989 -> ciflow/b200/167989 2025-12-04T08:47:59.2866945Z * [new tag] ciflow/b200/168096 -> ciflow/b200/168096 2025-12-04T08:47:59.2868240Z * [new tag] ciflow/b200/168175 -> ciflow/b200/168175 2025-12-04T08:47:59.2869362Z * [new tag] ciflow/b200/168195 -> ciflow/b200/168195 2025-12-04T08:47:59.2870713Z * [new tag] ciflow/b200/169200 -> ciflow/b200/169200 2025-12-04T08:47:59.2871887Z * [new tag] ciflow/b200/169216 -> ciflow/b200/169216 2025-12-04T08:47:59.2873476Z * [new tag] ciflow/b200/169380 -> ciflow/b200/169380 2025-12-04T08:47:59.2875042Z * [new tag] ciflow/b200/169412 -> ciflow/b200/169412 2025-12-04T08:47:59.2876444Z * [new tag] ciflow/b200/169470 -> ciflow/b200/169470 2025-12-04T08:47:59.2877527Z * [new tag] ciflow/b200/169471 -> ciflow/b200/169471 2025-12-04T08:47:59.2878686Z * [new tag] ciflow/b200/169472 -> ciflow/b200/169472 2025-12-04T08:47:59.2880039Z * [new tag] ciflow/b200/169514 -> ciflow/b200/169514 2025-12-04T08:47:59.2881189Z * [new tag] ciflow/b200/169517 -> ciflow/b200/169517 2025-12-04T08:47:59.2882654Z * [new tag] ciflow/binaries/165922 -> ciflow/binaries/165922 2025-12-04T08:47:59.2883741Z * [new tag] ciflow/binaries/169510 -> ciflow/binaries/169510 2025-12-04T08:47:59.2885216Z * [new tag] ciflow/binaries_wheel/157994 -> ciflow/binaries_wheel/157994 2025-12-04T08:47:59.2886481Z * [new tag] ciflow/binaries_wheel/166829 -> ciflow/binaries_wheel/166829 2025-12-04T08:47:59.2887598Z * [new tag] ciflow/binaries_wheel/167972 -> ciflow/binaries_wheel/167972 2025-12-04T08:47:59.2888809Z * [new tag] ciflow/binaries_wheel/167981 -> ciflow/binaries_wheel/167981 2025-12-04T08:47:59.2890038Z * [new tag] ciflow/dynamo/167695 -> ciflow/dynamo/167695 2025-12-04T08:47:59.2891246Z * [new tag] ciflow/dynamo/168096 -> ciflow/dynamo/168096 2025-12-04T08:47:59.2892598Z * [new tag] ciflow/h100-cutlass-backend/161938 -> ciflow/h100-cutlass-backend/161938 2025-12-04T08:47:59.2893554Z * [new tag] ciflow/h100-cutlass-backend/161940 -> ciflow/h100-cutlass-backend/161940 2025-12-04T08:47:59.2895097Z * [new tag] ciflow/h100-distributed/168923 -> ciflow/h100-distributed/168923 2025-12-04T08:47:59.2896920Z * [new tag] ciflow/h100-symm-mem/167552 -> ciflow/h100-symm-mem/167552 2025-12-04T08:47:59.2897794Z * [new tag] ciflow/h100-symm-mem/168129 -> ciflow/h100-symm-mem/168129 2025-12-04T08:47:59.2899112Z * [new tag] ciflow/h100-symm-mem/168917 -> ciflow/h100-symm-mem/168917 2025-12-04T08:47:59.2900619Z * [new tag] ciflow/h100-symm-mem/169156 -> ciflow/h100-symm-mem/169156 2025-12-04T08:47:59.2902078Z * [new tag] ciflow/h100-symm-mem/169200 -> ciflow/h100-symm-mem/169200 2025-12-04T08:47:59.2902969Z * [new tag] ciflow/h100-symm-mem/169216 -> ciflow/h100-symm-mem/169216 2025-12-04T08:47:59.2904206Z * [new tag] ciflow/h100-symm-mem/169338 -> ciflow/h100-symm-mem/169338 2025-12-04T08:47:59.2905484Z * [new tag] ciflow/h100-symm-mem/169355 -> ciflow/h100-symm-mem/169355 2025-12-04T08:47:59.2906628Z * [new tag] ciflow/h100-symm-mem/169543 -> ciflow/h100-symm-mem/169543 2025-12-04T08:47:59.2907861Z * [new tag] ciflow/h100/115316 -> ciflow/h100/115316 2025-12-04T08:47:59.2908961Z * [new tag] ciflow/h100/160685 -> ciflow/h100/160685 2025-12-04T08:47:59.2910057Z * [new tag] ciflow/h100/160729 -> ciflow/h100/160729 2025-12-04T08:47:59.2911211Z * [new tag] ciflow/h100/161607 -> ciflow/h100/161607 2025-12-04T08:47:59.2912314Z * [new tag] ciflow/h100/161938 -> ciflow/h100/161938 2025-12-04T08:47:59.2913382Z * [new tag] ciflow/h100/167207 -> ciflow/h100/167207 2025-12-04T08:47:59.2914486Z * [new tag] ciflow/h100/167989 -> ciflow/h100/167989 2025-12-04T08:47:59.2915674Z * [new tag] ciflow/h100/168096 -> ciflow/h100/168096 2025-12-04T08:47:59.2916516Z * [new tag] ciflow/h100/168175 -> ciflow/h100/168175 2025-12-04T08:47:59.2917728Z * [new tag] ciflow/h100/168195 -> ciflow/h100/168195 2025-12-04T08:47:59.2918834Z * [new tag] ciflow/h100/168980 -> ciflow/h100/168980 2025-12-04T08:47:59.2920238Z * [new tag] ciflow/h100/169200 -> ciflow/h100/169200 2025-12-04T08:47:59.2921660Z * [new tag] ciflow/h100/169216 -> ciflow/h100/169216 2025-12-04T08:47:59.2922948Z * [new tag] ciflow/h100/169380 -> ciflow/h100/169380 2025-12-04T08:47:59.2924528Z * [new tag] ciflow/h100/169412 -> ciflow/h100/169412 2025-12-04T08:47:59.2925710Z * [new tag] ciflow/h100/169470 -> ciflow/h100/169470 2025-12-04T08:47:59.2926828Z * [new tag] ciflow/h100/169471 -> ciflow/h100/169471 2025-12-04T08:47:59.2927967Z * [new tag] ciflow/h100/169472 -> ciflow/h100/169472 2025-12-04T08:47:59.2929157Z * [new tag] ciflow/h100/169514 -> ciflow/h100/169514 2025-12-04T08:47:59.2930506Z * [new tag] ciflow/inductor-cu126/168096 -> ciflow/inductor-cu126/168096 2025-12-04T08:47:59.2932316Z * [new tag] ciflow/inductor-micro-benchmark-cpu-x86/168096 -> ciflow/inductor-micro-benchmark-cpu-x86/168096 2025-12-04T08:47:59.2933490Z * [new tag] ciflow/inductor-micro-benchmark/166165 -> ciflow/inductor-micro-benchmark/166165 2025-12-04T08:47:59.2934466Z * [new tag] ciflow/inductor-micro-benchmark/168096 -> ciflow/inductor-micro-benchmark/168096 2025-12-04T08:47:59.2935975Z * [new tag] ciflow/inductor-perf-compare/168096 -> ciflow/inductor-perf-compare/168096 2025-12-04T08:47:59.2937758Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/168073 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168073 2025-12-04T08:47:59.2938700Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/168096 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168096 2025-12-04T08:47:59.2940245Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi300/169024 2025-12-04T08:47:59.2941539Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi355/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi355/169024 2025-12-04T08:47:59.2942726Z * [new tag] ciflow/inductor-perf-test-nightly/168096 -> ciflow/inductor-perf-test-nightly/168096 2025-12-04T08:47:59.2943946Z * [new tag] ciflow/inductor-periodic/168096 -> ciflow/inductor-periodic/168096 2025-12-04T08:47:59.2945034Z * [new tag] ciflow/inductor-periodic/169024 -> ciflow/inductor-periodic/169024 2025-12-04T08:47:59.2946327Z * [new tag] ciflow/inductor-periodic/169425 -> ciflow/inductor-periodic/169425 2025-12-04T08:47:59.2947784Z * [new tag] ciflow/inductor-rocm-mi200/165545 -> ciflow/inductor-rocm-mi200/165545 2025-12-04T08:47:59.2949091Z * [new tag] ciflow/inductor-rocm-mi200/165997 -> ciflow/inductor-rocm-mi200/165997 2025-12-04T08:47:59.2950193Z * [new tag] ciflow/inductor-rocm-mi200/168096 -> ciflow/inductor-rocm-mi200/168096 2025-12-04T08:47:59.2951470Z * [new tag] ciflow/inductor-rocm-mi200/169063 -> ciflow/inductor-rocm-mi200/169063 2025-12-04T08:47:59.2952613Z * [new tag] ciflow/inductor-rocm-mi200/169425 -> ciflow/inductor-rocm-mi200/169425 2025-12-04T08:47:59.2953860Z * [new tag] ciflow/inductor-rocm-mi300/165545 -> ciflow/inductor-rocm-mi300/165545 2025-12-04T08:47:59.2954977Z * [new tag] ciflow/inductor-rocm-mi300/168096 -> ciflow/inductor-rocm-mi300/168096 2025-12-04T08:47:59.2955967Z * [new tag] ciflow/inductor-rocm-mi300/169063 -> ciflow/inductor-rocm-mi300/169063 2025-12-04T08:47:59.2957142Z * [new tag] ciflow/inductor-rocm-mi300/169425 -> ciflow/inductor-rocm-mi300/169425 2025-12-04T08:47:59.2958607Z * [new tag] ciflow/inductor-rocm/162052 -> ciflow/inductor-rocm/162052 2025-12-04T08:47:59.2959840Z * [new tag] ciflow/inductor-rocm/168971 -> ciflow/inductor-rocm/168971 2025-12-04T08:47:59.2961163Z * [new tag] ciflow/inductor-windows/168096 -> ciflow/inductor-windows/168096 2025-12-04T08:47:59.2962361Z * [new tag] ciflow/inductor/144542 -> ciflow/inductor/144542 2025-12-04T08:47:59.2963462Z * [new tag] ciflow/inductor/146506 -> ciflow/inductor/146506 2025-12-04T08:47:59.2964588Z * [new tag] ciflow/inductor/147990 -> ciflow/inductor/147990 2025-12-04T08:47:59.2965876Z * [new tag] ciflow/inductor/148294 -> ciflow/inductor/148294 2025-12-04T08:47:59.2966974Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-12-04T08:47:59.2968052Z * [new tag] ciflow/inductor/157149 -> ciflow/inductor/157149 2025-12-04T08:47:59.2969204Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-12-04T08:47:59.2970285Z * [new tag] ciflow/inductor/160174 -> ciflow/inductor/160174 2025-12-04T08:47:59.2971365Z * [new tag] ciflow/inductor/160685 -> ciflow/inductor/160685 2025-12-04T08:47:59.2972442Z * [new tag] ciflow/inductor/160686 -> ciflow/inductor/160686 2025-12-04T08:47:59.2973552Z * [new tag] ciflow/inductor/160687 -> ciflow/inductor/160687 2025-12-04T08:47:59.2974974Z * [new tag] ciflow/inductor/160688 -> ciflow/inductor/160688 2025-12-04T08:47:59.2976432Z * [new tag] ciflow/inductor/160706 -> ciflow/inductor/160706 2025-12-04T08:47:59.2977763Z * [new tag] ciflow/inductor/160729 -> ciflow/inductor/160729 2025-12-04T08:47:59.2979015Z * [new tag] ciflow/inductor/161938 -> ciflow/inductor/161938 2025-12-04T08:47:59.2980227Z * [new tag] ciflow/inductor/161939 -> ciflow/inductor/161939 2025-12-04T08:47:59.2981425Z * [new tag] ciflow/inductor/161940 -> ciflow/inductor/161940 2025-12-04T08:47:59.2982589Z * [new tag] ciflow/inductor/162052 -> ciflow/inductor/162052 2025-12-04T08:47:59.2983734Z * [new tag] ciflow/inductor/162275 -> ciflow/inductor/162275 2025-12-04T08:47:59.2984862Z * [new tag] ciflow/inductor/162795 -> ciflow/inductor/162795 2025-12-04T08:47:59.2986245Z * [new tag] ciflow/inductor/163245 -> ciflow/inductor/163245 2025-12-04T08:47:59.2987380Z * [new tag] ciflow/inductor/163335 -> ciflow/inductor/163335 2025-12-04T08:47:59.2988607Z * [new tag] ciflow/inductor/163503 -> ciflow/inductor/163503 2025-12-04T08:47:59.2989717Z * [new tag] ciflow/inductor/163942 -> ciflow/inductor/163942 2025-12-04T08:47:59.2991063Z * [new tag] ciflow/inductor/165270 -> ciflow/inductor/165270 2025-12-04T08:47:59.2992204Z * [new tag] ciflow/inductor/165274 -> ciflow/inductor/165274 2025-12-04T08:47:59.2993955Z * [new tag] ciflow/inductor/165322 -> ciflow/inductor/165322 2025-12-04T08:47:59.2995135Z * [new tag] ciflow/inductor/165597 -> ciflow/inductor/165597 2025-12-04T08:47:59.2996372Z * [new tag] ciflow/inductor/166063 -> ciflow/inductor/166063 2025-12-04T08:47:59.2997554Z * [new tag] ciflow/inductor/166075 -> ciflow/inductor/166075 2025-12-04T08:47:59.2998694Z * [new tag] ciflow/inductor/166165 -> ciflow/inductor/166165 2025-12-04T08:47:59.3000334Z * [new tag] ciflow/inductor/166254 -> ciflow/inductor/166254 2025-12-04T08:47:59.3001268Z * [new tag] ciflow/inductor/166483 -> ciflow/inductor/166483 2025-12-04T08:47:59.3002843Z * [new tag] ciflow/inductor/166494 -> ciflow/inductor/166494 2025-12-04T08:47:59.3003718Z * [new tag] ciflow/inductor/166545 -> ciflow/inductor/166545 2025-12-04T08:47:59.3004966Z * [new tag] ciflow/inductor/166788 -> ciflow/inductor/166788 2025-12-04T08:47:59.3006337Z * [new tag] ciflow/inductor/166846 -> ciflow/inductor/166846 2025-12-04T08:47:59.3007531Z * [new tag] ciflow/inductor/167300 -> ciflow/inductor/167300 2025-12-04T08:47:59.3008624Z * [new tag] ciflow/inductor/167407 -> ciflow/inductor/167407 2025-12-04T08:47:59.3009953Z * [new tag] ciflow/inductor/167536 -> ciflow/inductor/167536 2025-12-04T08:47:59.3011061Z * [new tag] ciflow/inductor/167552 -> ciflow/inductor/167552 2025-12-04T08:47:59.3012231Z * [new tag] ciflow/inductor/167555 -> ciflow/inductor/167555 2025-12-04T08:47:59.3014011Z * [new tag] ciflow/inductor/167583 -> ciflow/inductor/167583 2025-12-04T08:47:59.3015145Z * [new tag] ciflow/inductor/167599 -> ciflow/inductor/167599 2025-12-04T08:47:59.3016318Z * [new tag] ciflow/inductor/167647 -> ciflow/inductor/167647 2025-12-04T08:47:59.3017482Z * [new tag] ciflow/inductor/167677 -> ciflow/inductor/167677 2025-12-04T08:47:59.3018641Z * [new tag] ciflow/inductor/167680 -> ciflow/inductor/167680 2025-12-04T08:47:59.3019855Z * [new tag] ciflow/inductor/167695 -> ciflow/inductor/167695 2025-12-04T08:47:59.3021009Z * [new tag] ciflow/inductor/167742 -> ciflow/inductor/167742 2025-12-04T08:47:59.3022152Z * [new tag] ciflow/inductor/167768 -> ciflow/inductor/167768 2025-12-04T08:47:59.3023590Z * [new tag] ciflow/inductor/167773 -> ciflow/inductor/167773 2025-12-04T08:47:59.3024682Z * [new tag] ciflow/inductor/167781 -> ciflow/inductor/167781 2025-12-04T08:47:59.3025916Z * [new tag] ciflow/inductor/167880 -> ciflow/inductor/167880 2025-12-04T08:47:59.3027109Z * [new tag] ciflow/inductor/167887 -> ciflow/inductor/167887 2025-12-04T08:47:59.3028226Z * [new tag] ciflow/inductor/167972 -> ciflow/inductor/167972 2025-12-04T08:47:59.3029378Z * [new tag] ciflow/inductor/167989 -> ciflow/inductor/167989 2025-12-04T08:47:59.3030509Z * [new tag] ciflow/inductor/168002 -> ciflow/inductor/168002 2025-12-04T08:47:59.3031652Z * [new tag] ciflow/inductor/168050 -> ciflow/inductor/168050 2025-12-04T08:47:59.3032832Z * [new tag] ciflow/inductor/168051 -> ciflow/inductor/168051 2025-12-04T08:47:59.3033996Z * [new tag] ciflow/inductor/168052 -> ciflow/inductor/168052 2025-12-04T08:47:59.3035251Z * [new tag] ciflow/inductor/168073 -> ciflow/inductor/168073 2025-12-04T08:47:59.3036391Z * [new tag] ciflow/inductor/168096 -> ciflow/inductor/168096 2025-12-04T08:47:59.3037558Z * [new tag] ciflow/inductor/168114 -> ciflow/inductor/168114 2025-12-04T08:47:59.3038655Z * [new tag] ciflow/inductor/168115 -> ciflow/inductor/168115 2025-12-04T08:47:59.3039788Z * [new tag] ciflow/inductor/168127 -> ciflow/inductor/168127 2025-12-04T08:47:59.3040973Z * [new tag] ciflow/inductor/168129 -> ciflow/inductor/168129 2025-12-04T08:47:59.3042109Z * [new tag] ciflow/inductor/168157 -> ciflow/inductor/168157 2025-12-04T08:47:59.3043259Z * [new tag] ciflow/inductor/168175 -> ciflow/inductor/168175 2025-12-04T08:47:59.3044462Z * [new tag] ciflow/inductor/168185 -> ciflow/inductor/168185 2025-12-04T08:47:59.3045862Z * [new tag] ciflow/inductor/168195 -> ciflow/inductor/168195 2025-12-04T08:47:59.3047014Z * [new tag] ciflow/inductor/168209 -> ciflow/inductor/168209 2025-12-04T08:47:59.3048146Z * [new tag] ciflow/inductor/168266 -> ciflow/inductor/168266 2025-12-04T08:47:59.3049291Z * [new tag] ciflow/inductor/168316 -> ciflow/inductor/168316 2025-12-04T08:47:59.3050664Z * [new tag] ciflow/inductor/168326 -> ciflow/inductor/168326 2025-12-04T08:47:59.3051841Z * [new tag] ciflow/inductor/168368 -> ciflow/inductor/168368 2025-12-04T08:47:59.3052999Z * [new tag] ciflow/inductor/168894 -> ciflow/inductor/168894 2025-12-04T08:47:59.3054196Z * [new tag] ciflow/inductor/168934 -> ciflow/inductor/168934 2025-12-04T08:47:59.3055332Z * [new tag] ciflow/inductor/168939 -> ciflow/inductor/168939 2025-12-04T08:47:59.3056454Z * [new tag] ciflow/inductor/168946 -> ciflow/inductor/168946 2025-12-04T08:47:59.3057616Z * [new tag] ciflow/inductor/168950 -> ciflow/inductor/168950 2025-12-04T08:47:59.3058889Z * [new tag] ciflow/inductor/168951 -> ciflow/inductor/168951 2025-12-04T08:47:59.3060005Z * [new tag] ciflow/inductor/168952 -> ciflow/inductor/168952 2025-12-04T08:47:59.3061139Z * [new tag] ciflow/inductor/168955 -> ciflow/inductor/168955 2025-12-04T08:47:59.3062250Z * [new tag] ciflow/inductor/168971 -> ciflow/inductor/168971 2025-12-04T08:47:59.3063405Z * [new tag] ciflow/inductor/168979 -> ciflow/inductor/168979 2025-12-04T08:47:59.3064550Z * [new tag] ciflow/inductor/168980 -> ciflow/inductor/168980 2025-12-04T08:47:59.3065927Z * [new tag] ciflow/inductor/168983 -> ciflow/inductor/168983 2025-12-04T08:47:59.3067049Z * [new tag] ciflow/inductor/169006 -> ciflow/inductor/169006 2025-12-04T08:47:59.3068247Z * [new tag] ciflow/inductor/169023 -> ciflow/inductor/169023 2025-12-04T08:47:59.3069400Z * [new tag] ciflow/inductor/169024 -> ciflow/inductor/169024 2025-12-04T08:47:59.3070923Z * [new tag] ciflow/inductor/169025 -> ciflow/inductor/169025 2025-12-04T08:47:59.3071590Z * [new tag] ciflow/inductor/169066 -> ciflow/inductor/169066 2025-12-04T08:47:59.3072958Z * [new tag] ciflow/inductor/169091 -> ciflow/inductor/169091 2025-12-04T08:47:59.3074087Z * [new tag] ciflow/inductor/169102 -> ciflow/inductor/169102 2025-12-04T08:47:59.3075231Z * [new tag] ciflow/inductor/169103 -> ciflow/inductor/169103 2025-12-04T08:47:59.3076346Z * [new tag] ciflow/inductor/169121 -> ciflow/inductor/169121 2025-12-04T08:47:59.3077507Z * [new tag] ciflow/inductor/169134 -> ciflow/inductor/169134 2025-12-04T08:47:59.3078639Z * [new tag] ciflow/inductor/169135 -> ciflow/inductor/169135 2025-12-04T08:47:59.3079768Z * [new tag] ciflow/inductor/169141 -> ciflow/inductor/169141 2025-12-04T08:47:59.3080898Z * [new tag] ciflow/inductor/169151 -> ciflow/inductor/169151 2025-12-04T08:47:59.3082247Z * [new tag] ciflow/inductor/169161 -> ciflow/inductor/169161 2025-12-04T08:47:59.3083366Z * [new tag] ciflow/inductor/169167 -> ciflow/inductor/169167 2025-12-04T08:47:59.3084748Z * [new tag] ciflow/inductor/169177 -> ciflow/inductor/169177 2025-12-04T08:47:59.3086041Z * [new tag] ciflow/inductor/169185 -> ciflow/inductor/169185 2025-12-04T08:47:59.3087251Z * [new tag] ciflow/inductor/169196 -> ciflow/inductor/169196 2025-12-04T08:47:59.3088477Z * [new tag] ciflow/inductor/169200 -> ciflow/inductor/169200 2025-12-04T08:47:59.3090013Z * [new tag] ciflow/inductor/169204 -> ciflow/inductor/169204 2025-12-04T08:47:59.3091126Z * [new tag] ciflow/inductor/169216 -> ciflow/inductor/169216 2025-12-04T08:47:59.3092354Z * [new tag] ciflow/inductor/169219 -> ciflow/inductor/169219 2025-12-04T08:47:59.3093447Z * [new tag] ciflow/inductor/169220 -> ciflow/inductor/169220 2025-12-04T08:47:59.3094767Z * [new tag] ciflow/inductor/169230 -> ciflow/inductor/169230 2025-12-04T08:47:59.3095941Z * [new tag] ciflow/inductor/169242 -> ciflow/inductor/169242 2025-12-04T08:47:59.3097104Z * [new tag] ciflow/inductor/169245 -> ciflow/inductor/169245 2025-12-04T08:47:59.3098399Z * [new tag] ciflow/inductor/169260 -> ciflow/inductor/169260 2025-12-04T08:47:59.3099641Z * [new tag] ciflow/inductor/169282 -> ciflow/inductor/169282 2025-12-04T08:47:59.3100794Z * [new tag] ciflow/inductor/169286 -> ciflow/inductor/169286 2025-12-04T08:47:59.3102178Z * [new tag] ciflow/inductor/169299 -> ciflow/inductor/169299 2025-12-04T08:47:59.3103570Z * [new tag] ciflow/inductor/169304 -> ciflow/inductor/169304 2025-12-04T08:47:59.3105197Z * [new tag] ciflow/inductor/169305 -> ciflow/inductor/169305 2025-12-04T08:47:59.3106343Z * [new tag] ciflow/inductor/169308 -> ciflow/inductor/169308 2025-12-04T08:47:59.3107546Z * [new tag] ciflow/inductor/169319 -> ciflow/inductor/169319 2025-12-04T08:47:59.3108685Z * [new tag] ciflow/inductor/169326 -> ciflow/inductor/169326 2025-12-04T08:47:59.3109833Z * [new tag] ciflow/inductor/169332 -> ciflow/inductor/169332 2025-12-04T08:47:59.3111008Z * [new tag] ciflow/inductor/169333 -> ciflow/inductor/169333 2025-12-04T08:47:59.3112536Z * [new tag] ciflow/inductor/169336 -> ciflow/inductor/169336 2025-12-04T08:47:59.3113710Z * [new tag] ciflow/inductor/169340 -> ciflow/inductor/169340 2025-12-04T08:47:59.3114829Z * [new tag] ciflow/inductor/169341 -> ciflow/inductor/169341 2025-12-04T08:47:59.3116048Z * [new tag] ciflow/inductor/169343 -> ciflow/inductor/169343 2025-12-04T08:47:59.3117192Z * [new tag] ciflow/inductor/169346 -> ciflow/inductor/169346 2025-12-04T08:47:59.3118559Z * [new tag] ciflow/inductor/169348 -> ciflow/inductor/169348 2025-12-04T08:47:59.3119874Z * [new tag] ciflow/inductor/169350 -> ciflow/inductor/169350 2025-12-04T08:47:59.3121030Z * [new tag] ciflow/inductor/169355 -> ciflow/inductor/169355 2025-12-04T08:47:59.3122217Z * [new tag] ciflow/inductor/169370 -> ciflow/inductor/169370 2025-12-04T08:47:59.3123687Z * [new tag] ciflow/inductor/169375 -> ciflow/inductor/169375 2025-12-04T08:47:59.3124895Z * [new tag] ciflow/inductor/169389 -> ciflow/inductor/169389 2025-12-04T08:47:59.3126044Z * [new tag] ciflow/inductor/169391 -> ciflow/inductor/169391 2025-12-04T08:47:59.3127224Z * [new tag] ciflow/inductor/169393 -> ciflow/inductor/169393 2025-12-04T08:47:59.3128371Z * [new tag] ciflow/inductor/169399 -> ciflow/inductor/169399 2025-12-04T08:47:59.3129713Z * [new tag] ciflow/inductor/169400 -> ciflow/inductor/169400 2025-12-04T08:47:59.3130903Z * [new tag] ciflow/inductor/169415 -> ciflow/inductor/169415 2025-12-04T08:47:59.3132083Z * [new tag] ciflow/inductor/169417 -> ciflow/inductor/169417 2025-12-04T08:47:59.3133313Z * [new tag] ciflow/inductor/169418 -> ciflow/inductor/169418 2025-12-04T08:47:59.3134789Z * [new tag] ciflow/inductor/169430 -> ciflow/inductor/169430 2025-12-04T08:47:59.3135953Z * [new tag] ciflow/inductor/169432 -> ciflow/inductor/169432 2025-12-04T08:47:59.3137119Z * [new tag] ciflow/inductor/169436 -> ciflow/inductor/169436 2025-12-04T08:47:59.3138433Z * [new tag] ciflow/inductor/169437 -> ciflow/inductor/169437 2025-12-04T08:47:59.3139724Z * [new tag] ciflow/inductor/169438 -> ciflow/inductor/169438 2025-12-04T08:47:59.3140934Z * [new tag] ciflow/inductor/169441 -> ciflow/inductor/169441 2025-12-04T08:47:59.3142034Z * [new tag] ciflow/inductor/169446 -> ciflow/inductor/169446 2025-12-04T08:47:59.3143371Z * [new tag] ciflow/inductor/169447 -> ciflow/inductor/169447 2025-12-04T08:47:59.3144524Z * [new tag] ciflow/inductor/169452 -> ciflow/inductor/169452 2025-12-04T08:47:59.3145901Z * [new tag] ciflow/inductor/169455 -> ciflow/inductor/169455 2025-12-04T08:47:59.3147007Z * [new tag] ciflow/inductor/169459 -> ciflow/inductor/169459 2025-12-04T08:47:59.3148322Z * [new tag] ciflow/inductor/169463 -> ciflow/inductor/169463 2025-12-04T08:47:59.3149618Z * [new tag] ciflow/inductor/169476 -> ciflow/inductor/169476 2025-12-04T08:47:59.3150816Z * [new tag] ciflow/inductor/169485 -> ciflow/inductor/169485 2025-12-04T08:47:59.3152049Z * [new tag] ciflow/inductor/169493 -> ciflow/inductor/169493 2025-12-04T08:47:59.3153197Z * [new tag] ciflow/inductor/169496 -> ciflow/inductor/169496 2025-12-04T08:47:59.3154398Z * [new tag] ciflow/inductor/169497 -> ciflow/inductor/169497 2025-12-04T08:47:59.3155548Z * [new tag] ciflow/inductor/169503 -> ciflow/inductor/169503 2025-12-04T08:47:59.3156682Z * [new tag] ciflow/inductor/169504 -> ciflow/inductor/169504 2025-12-04T08:47:59.3158133Z * [new tag] ciflow/inductor/169505 -> ciflow/inductor/169505 2025-12-04T08:47:59.3159841Z * [new tag] ciflow/inductor/169508 -> ciflow/inductor/169508 2025-12-04T08:47:59.3161017Z * [new tag] ciflow/inductor/169509 -> ciflow/inductor/169509 2025-12-04T08:47:59.3162165Z * [new tag] ciflow/inductor/169513 -> ciflow/inductor/169513 2025-12-04T08:47:59.3163349Z * [new tag] ciflow/inductor/169514 -> ciflow/inductor/169514 2025-12-04T08:47:59.3164488Z * [new tag] ciflow/inductor/169515 -> ciflow/inductor/169515 2025-12-04T08:47:59.3165675Z * [new tag] ciflow/inductor/169517 -> ciflow/inductor/169517 2025-12-04T08:47:59.3166812Z * [new tag] ciflow/inductor/169519 -> ciflow/inductor/169519 2025-12-04T08:47:59.3167993Z * [new tag] ciflow/inductor/169520 -> ciflow/inductor/169520 2025-12-04T08:47:59.3169629Z * [new tag] ciflow/inductor/169521 -> ciflow/inductor/169521 2025-12-04T08:47:59.3170785Z * [new tag] ciflow/inductor/169524 -> ciflow/inductor/169524 2025-12-04T08:47:59.3171973Z * [new tag] ciflow/inductor/169527 -> ciflow/inductor/169527 2025-12-04T08:47:59.3173098Z * [new tag] ciflow/inductor/169528 -> ciflow/inductor/169528 2025-12-04T08:47:59.3174402Z * [new tag] ciflow/inductor/169532 -> ciflow/inductor/169532 2025-12-04T08:47:59.3175585Z * [new tag] ciflow/inductor/169535 -> ciflow/inductor/169535 2025-12-04T08:47:59.3176741Z * [new tag] ciflow/inductor/169536 -> ciflow/inductor/169536 2025-12-04T08:47:59.3177899Z * [new tag] ciflow/inductor/169547 -> ciflow/inductor/169547 2025-12-04T08:47:59.3179157Z * [new tag] ciflow/inductor/169548 -> ciflow/inductor/169548 2025-12-04T08:47:59.3180330Z * [new tag] ciflow/inductor/169549 -> ciflow/inductor/169549 2025-12-04T08:47:59.3181467Z * [new tag] ciflow/inductor/169551 -> ciflow/inductor/169551 2025-12-04T08:47:59.3182923Z * [new tag] ciflow/inductor/169552 -> ciflow/inductor/169552 2025-12-04T08:47:59.3183718Z * [new tag] ciflow/inductor/169553 -> ciflow/inductor/169553 2025-12-04T08:47:59.3185260Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-12-04T08:47:59.3186682Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-12-04T08:47:59.3188075Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-12-04T08:47:59.3189401Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-12-04T08:47:59.3190681Z * [new tag] ciflow/linux-aarch64/166075 -> ciflow/linux-aarch64/166075 2025-12-04T08:47:59.3191817Z * [new tag] ciflow/linux-aarch64/166876 -> ciflow/linux-aarch64/166876 2025-12-04T08:47:59.3192901Z * [new tag] ciflow/linux-aarch64/167981 -> ciflow/linux-aarch64/167981 2025-12-04T08:47:59.3194185Z * [new tag] ciflow/mps/166254 -> ciflow/mps/166254 2025-12-04T08:47:59.3195279Z * [new tag] ciflow/mps/169017 -> ciflow/mps/169017 2025-12-04T08:47:59.3196628Z * [new tag] ciflow/mps/169372 -> ciflow/mps/169372 2025-12-04T08:47:59.3197740Z * [new tag] ciflow/mps/169478 -> ciflow/mps/169478 2025-12-04T08:47:59.3199089Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-12-04T08:47:59.3200219Z * [new tag] ciflow/op-benchmark/166075 -> ciflow/op-benchmark/166075 2025-12-04T08:47:59.3201336Z * [new tag] ciflow/op-benchmark/169544 -> ciflow/op-benchmark/169544 2025-12-04T08:47:59.3209428Z * [new tag] ciflow/periodic-rocm-mi200/165997 -> ciflow/periodic-rocm-mi200/165997 2025-12-04T08:47:59.3209801Z * [new tag] ciflow/periodic-rocm-mi200/166517 -> ciflow/periodic-rocm-mi200/166517 2025-12-04T08:47:59.3210104Z * [new tag] ciflow/periodic-rocm-mi200/169063 -> ciflow/periodic-rocm-mi200/169063 2025-12-04T08:47:59.3210385Z * [new tag] ciflow/periodic-rocm-mi200/169425 -> ciflow/periodic-rocm-mi200/169425 2025-12-04T08:47:59.3210684Z * [new tag] ciflow/periodic-rocm-mi300/166517 -> ciflow/periodic-rocm-mi300/166517 2025-12-04T08:47:59.3210978Z * [new tag] ciflow/periodic-rocm-mi300/169063 -> ciflow/periodic-rocm-mi300/169063 2025-12-04T08:47:59.3211259Z * [new tag] ciflow/periodic-rocm-mi300/169425 -> ciflow/periodic-rocm-mi300/169425 2025-12-04T08:47:59.3211499Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-12-04T08:47:59.3212605Z * [new tag] ciflow/periodic/167207 -> ciflow/periodic/167207 2025-12-04T08:47:59.3213849Z * [new tag] ciflow/periodic/167978 -> ciflow/periodic/167978 2025-12-04T08:47:59.3214935Z * [new tag] ciflow/periodic/168096 -> ciflow/periodic/168096 2025-12-04T08:47:59.3216015Z * [new tag] ciflow/periodic/169286 -> ciflow/periodic/169286 2025-12-04T08:47:59.3217416Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-12-04T08:47:59.3218758Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-12-04T08:47:59.3220111Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-12-04T08:47:59.3221471Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-12-04T08:47:59.3223630Z * [new tag] ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 2025-12-04T08:47:59.3225062Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-12-04T08:47:59.3226633Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-12-04T08:47:59.3228004Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-12-04T08:47:59.3229288Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-12-04T08:47:59.3230706Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-12-04T08:47:59.3232242Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-12-04T08:47:59.3233721Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-12-04T08:47:59.3234986Z * [new tag] ciflow/pull/167207 -> ciflow/pull/167207 2025-12-04T08:47:59.3236608Z * [new tag] ciflow/quantization-periodic/169207 -> ciflow/quantization-periodic/169207 2025-12-04T08:47:59.3237797Z * [new tag] ciflow/rocm-mi200/165545 -> ciflow/rocm-mi200/165545 2025-12-04T08:47:59.3238878Z * [new tag] ciflow/rocm-mi200/165997 -> ciflow/rocm-mi200/165997 2025-12-04T08:47:59.3240019Z * [new tag] ciflow/rocm-mi200/168096 -> ciflow/rocm-mi200/168096 2025-12-04T08:47:59.3241325Z * [new tag] ciflow/rocm-mi200/168275 -> ciflow/rocm-mi200/168275 2025-12-04T08:47:59.3242437Z * [new tag] ciflow/rocm-mi200/169063 -> ciflow/rocm-mi200/169063 2025-12-04T08:47:59.3243724Z * [new tag] ciflow/rocm-mi200/169356 -> ciflow/rocm-mi200/169356 2025-12-04T08:47:59.3244802Z * [new tag] ciflow/rocm-mi200/169425 -> ciflow/rocm-mi200/169425 2025-12-04T08:47:59.3246126Z * [new tag] ciflow/rocm-mi300/165545 -> ciflow/rocm-mi300/165545 2025-12-04T08:47:59.3247434Z * [new tag] ciflow/rocm-mi300/167157 -> ciflow/rocm-mi300/167157 2025-12-04T08:47:59.3248550Z * [new tag] ciflow/rocm-mi300/168096 -> ciflow/rocm-mi300/168096 2025-12-04T08:47:59.3249623Z * [new tag] ciflow/rocm-mi300/169063 -> ciflow/rocm-mi300/169063 2025-12-04T08:47:59.3250750Z * [new tag] ciflow/rocm-mi300/169425 -> ciflow/rocm-mi300/169425 2025-12-04T08:47:59.3252077Z * [new tag] ciflow/rocm-mi355/167157 -> ciflow/rocm-mi355/167157 2025-12-04T08:47:59.3253210Z * [new tag] ciflow/rocm-mi355/168275 -> ciflow/rocm-mi355/168275 2025-12-04T08:47:59.3254311Z * [new tag] ciflow/rocm-mi355/169425 -> ciflow/rocm-mi355/169425 2025-12-04T08:47:59.3255686Z * [new tag] ciflow/rocm-navi31/168275 -> ciflow/rocm-navi31/168275 2025-12-04T08:47:59.3256886Z * [new tag] ciflow/rocm-navi31/169425 -> ciflow/rocm-navi31/169425 2025-12-04T08:47:59.3258173Z * [new tag] ciflow/rocm/115316 -> ciflow/rocm/115316 2025-12-04T08:47:59.3259307Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-12-04T08:47:59.3260518Z * [new tag] ciflow/rocm/160685 -> ciflow/rocm/160685 2025-12-04T08:47:59.3261607Z * [new tag] ciflow/rocm/161607 -> ciflow/rocm/161607 2025-12-04T08:47:59.3262716Z * [new tag] ciflow/rocm/162052 -> ciflow/rocm/162052 2025-12-04T08:47:59.3263771Z * [new tag] ciflow/rocm/165997 -> ciflow/rocm/165997 2025-12-04T08:47:59.3264918Z * [new tag] ciflow/rocm/166165 -> ciflow/rocm/166165 2025-12-04T08:47:59.3265997Z * [new tag] ciflow/rocm/166517 -> ciflow/rocm/166517 2025-12-04T08:47:59.3267085Z * [new tag] ciflow/rocm/167207 -> ciflow/rocm/167207 2025-12-04T08:47:59.3268312Z * [new tag] ciflow/rocm/167536 -> ciflow/rocm/167536 2025-12-04T08:47:59.3269354Z * [new tag] ciflow/rocm/167781 -> ciflow/rocm/167781 2025-12-04T08:47:59.3270796Z * [new tag] ciflow/rocm/167989 -> ciflow/rocm/167989 2025-12-04T08:47:59.3272178Z * [new tag] ciflow/rocm/168073 -> ciflow/rocm/168073 2025-12-04T08:47:59.3273528Z * [new tag] ciflow/rocm/168195 -> ciflow/rocm/168195 2025-12-04T08:47:59.3274693Z * [new tag] ciflow/rocm/168939 -> ciflow/rocm/168939 2025-12-04T08:47:59.3275837Z * [new tag] ciflow/rocm/168971 -> ciflow/rocm/168971 2025-12-04T08:47:59.3276984Z * [new tag] ciflow/rocm/169024 -> ciflow/rocm/169024 2025-12-04T08:47:59.3278166Z * [new tag] ciflow/rocm/169200 -> ciflow/rocm/169200 2025-12-04T08:47:59.3279316Z * [new tag] ciflow/rocm/169216 -> ciflow/rocm/169216 2025-12-04T08:47:59.3280400Z * [new tag] ciflow/rocm/169312 -> ciflow/rocm/169312 2025-12-04T08:47:59.3281518Z * [new tag] ciflow/rocm/169380 -> ciflow/rocm/169380 2025-12-04T08:47:59.3282729Z * [new tag] ciflow/rocm/169427 -> ciflow/rocm/169427 2025-12-04T08:47:59.3283839Z * [new tag] ciflow/rocm/169455 -> ciflow/rocm/169455 2025-12-04T08:47:59.3284991Z * [new tag] ciflow/rocm/169470 -> ciflow/rocm/169470 2025-12-04T08:47:59.3286111Z * [new tag] ciflow/rocm/169471 -> ciflow/rocm/169471 2025-12-04T08:47:59.3287745Z * [new tag] ciflow/rocm/169472 -> ciflow/rocm/169472 2025-12-04T08:47:59.3288837Z * [new tag] ciflow/rocm/169514 -> ciflow/rocm/169514 2025-12-04T08:47:59.3290350Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-12-04T08:47:59.3291678Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-12-04T08:47:59.3293553Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-12-04T08:47:59.3294496Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-12-04T08:47:59.3295601Z * [new tag] ciflow/slow/167207 -> ciflow/slow/167207 2025-12-04T08:47:59.3296680Z * [new tag] ciflow/slow/168050 -> ciflow/slow/168050 2025-12-04T08:47:59.3298062Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-12-04T08:47:59.3299493Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-12-04T08:47:59.3301148Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-12-04T08:47:59.3305302Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-12-04T08:47:59.3307323Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-12-04T08:47:59.3308665Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-12-04T08:47:59.3309965Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-12-04T08:47:59.3311288Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-12-04T08:47:59.3313222Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-12-04T08:47:59.3314213Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-12-04T08:47:59.3315503Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-12-04T08:47:59.3316841Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-12-04T08:47:59.3318331Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-12-04T08:47:59.3319568Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-12-04T08:47:59.3321469Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-12-04T08:47:59.3322520Z * [new tag] ciflow/torchbench/168175 -> ciflow/torchbench/168175 2025-12-04T08:47:59.3323830Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-12-04T08:47:59.3324929Z * [new tag] ciflow/trunk/157149 -> ciflow/trunk/157149 2025-12-04T08:47:59.3326028Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-12-04T08:47:59.3327132Z * [new tag] ciflow/trunk/159718 -> ciflow/trunk/159718 2025-12-04T08:47:59.3328245Z * [new tag] ciflow/trunk/160174 -> ciflow/trunk/160174 2025-12-04T08:47:59.3329365Z * [new tag] ciflow/trunk/160685 -> ciflow/trunk/160685 2025-12-04T08:47:59.3330442Z * [new tag] ciflow/trunk/160729 -> ciflow/trunk/160729 2025-12-04T08:47:59.3331561Z * [new tag] ciflow/trunk/162275 -> ciflow/trunk/162275 2025-12-04T08:47:59.3332670Z * [new tag] ciflow/trunk/162795 -> ciflow/trunk/162795 2025-12-04T08:47:59.3333785Z * [new tag] ciflow/trunk/163245 -> ciflow/trunk/163245 2025-12-04T08:47:59.3334996Z * [new tag] ciflow/trunk/163942 -> ciflow/trunk/163942 2025-12-04T08:47:59.3336374Z * [new tag] ciflow/trunk/165274 -> ciflow/trunk/165274 2025-12-04T08:47:59.3338024Z * [new tag] ciflow/trunk/165483 -> ciflow/trunk/165483 2025-12-04T08:47:59.3339413Z * [new tag] ciflow/trunk/165728 -> ciflow/trunk/165728 2025-12-04T08:47:59.3340630Z * [new tag] ciflow/trunk/165922 -> ciflow/trunk/165922 2025-12-04T08:47:59.3341740Z * [new tag] ciflow/trunk/166075 -> ciflow/trunk/166075 2025-12-04T08:47:59.3342911Z * [new tag] ciflow/trunk/166165 -> ciflow/trunk/166165 2025-12-04T08:47:59.3344051Z * [new tag] ciflow/trunk/166829 -> ciflow/trunk/166829 2025-12-04T08:47:59.3345384Z * [new tag] ciflow/trunk/166843 -> ciflow/trunk/166843 2025-12-04T08:47:59.3346582Z * [new tag] ciflow/trunk/166876 -> ciflow/trunk/166876 2025-12-04T08:47:59.3347737Z * [new tag] ciflow/trunk/167207 -> ciflow/trunk/167207 2025-12-04T08:47:59.3348889Z * [new tag] ciflow/trunk/167536 -> ciflow/trunk/167536 2025-12-04T08:47:59.3350028Z * [new tag] ciflow/trunk/167552 -> ciflow/trunk/167552 2025-12-04T08:47:59.3351162Z * [new tag] ciflow/trunk/167555 -> ciflow/trunk/167555 2025-12-04T08:47:59.3352317Z * [new tag] ciflow/trunk/167599 -> ciflow/trunk/167599 2025-12-04T08:47:59.3353506Z * [new tag] ciflow/trunk/167659 -> ciflow/trunk/167659 2025-12-04T08:47:59.3354817Z * [new tag] ciflow/trunk/167672 -> ciflow/trunk/167672 2025-12-04T08:47:59.3355935Z * [new tag] ciflow/trunk/167742 -> ciflow/trunk/167742 2025-12-04T08:47:59.3357093Z * [new tag] ciflow/trunk/167781 -> ciflow/trunk/167781 2025-12-04T08:47:59.3358500Z * [new tag] ciflow/trunk/167837 -> ciflow/trunk/167837 2025-12-04T08:47:59.3359632Z * [new tag] ciflow/trunk/167887 -> ciflow/trunk/167887 2025-12-04T08:47:59.3360813Z * [new tag] ciflow/trunk/167978 -> ciflow/trunk/167978 2025-12-04T08:47:59.3361936Z * [new tag] ciflow/trunk/168050 -> ciflow/trunk/168050 2025-12-04T08:47:59.3363188Z * [new tag] ciflow/trunk/168051 -> ciflow/trunk/168051 2025-12-04T08:47:59.3364240Z * [new tag] ciflow/trunk/168096 -> ciflow/trunk/168096 2025-12-04T08:47:59.3365380Z * [new tag] ciflow/trunk/168127 -> ciflow/trunk/168127 2025-12-04T08:47:59.3366511Z * [new tag] ciflow/trunk/168157 -> ciflow/trunk/168157 2025-12-04T08:47:59.3367671Z * [new tag] ciflow/trunk/168175 -> ciflow/trunk/168175 2025-12-04T08:47:59.3368811Z * [new tag] ciflow/trunk/168209 -> ciflow/trunk/168209 2025-12-04T08:47:59.3370102Z * [new tag] ciflow/trunk/168213 -> ciflow/trunk/168213 2025-12-04T08:47:59.3371454Z * [new tag] ciflow/trunk/168226 -> ciflow/trunk/168226 2025-12-04T08:47:59.3372593Z * [new tag] ciflow/trunk/168262 -> ciflow/trunk/168262 2025-12-04T08:47:59.3373858Z * [new tag] ciflow/trunk/168275 -> ciflow/trunk/168275 2025-12-04T08:47:59.3375160Z * [new tag] ciflow/trunk/168328 -> ciflow/trunk/168328 2025-12-04T08:47:59.3376333Z * [new tag] ciflow/trunk/168368 -> ciflow/trunk/168368 2025-12-04T08:47:59.3377511Z * [new tag] ciflow/trunk/168917 -> ciflow/trunk/168917 2025-12-04T08:47:59.3378648Z * [new tag] ciflow/trunk/168933 -> ciflow/trunk/168933 2025-12-04T08:47:59.3380136Z * [new tag] ciflow/trunk/168941 -> ciflow/trunk/168941 2025-12-04T08:47:59.3381317Z * [new tag] ciflow/trunk/168955 -> ciflow/trunk/168955 2025-12-04T08:47:59.3382444Z * [new tag] ciflow/trunk/168980 -> ciflow/trunk/168980 2025-12-04T08:47:59.3383842Z * [new tag] ciflow/trunk/169004 -> ciflow/trunk/169004 2025-12-04T08:47:59.3384978Z * [new tag] ciflow/trunk/169006 -> ciflow/trunk/169006 2025-12-04T08:47:59.3386173Z * [new tag] ciflow/trunk/169023 -> ciflow/trunk/169023 2025-12-04T08:47:59.3387307Z * [new tag] ciflow/trunk/169025 -> ciflow/trunk/169025 2025-12-04T08:47:59.3388944Z * [new tag] ciflow/trunk/169048 -> ciflow/trunk/169048 2025-12-04T08:47:59.3390099Z * [new tag] ciflow/trunk/169066 -> ciflow/trunk/169066 2025-12-04T08:47:59.3391278Z * [new tag] ciflow/trunk/169091 -> ciflow/trunk/169091 2025-12-04T08:47:59.3392418Z * [new tag] ciflow/trunk/169102 -> ciflow/trunk/169102 2025-12-04T08:47:59.3393550Z * [new tag] ciflow/trunk/169103 -> ciflow/trunk/169103 2025-12-04T08:47:59.3394850Z * [new tag] ciflow/trunk/169125 -> ciflow/trunk/169125 2025-12-04T08:47:59.3396179Z * [new tag] ciflow/trunk/169139 -> ciflow/trunk/169139 2025-12-04T08:47:59.3397478Z * [new tag] ciflow/trunk/169148 -> ciflow/trunk/169148 2025-12-04T08:47:59.3398655Z * [new tag] ciflow/trunk/169151 -> ciflow/trunk/169151 2025-12-04T08:47:59.3399832Z * [new tag] ciflow/trunk/169156 -> ciflow/trunk/169156 2025-12-04T08:47:59.3401192Z * [new tag] ciflow/trunk/169176 -> ciflow/trunk/169176 2025-12-04T08:47:59.3402442Z * [new tag] ciflow/trunk/169204 -> ciflow/trunk/169204 2025-12-04T08:47:59.3403814Z * [new tag] ciflow/trunk/169207 -> ciflow/trunk/169207 2025-12-04T08:47:59.3405016Z * [new tag] ciflow/trunk/169211 -> ciflow/trunk/169211 2025-12-04T08:47:59.3406292Z * [new tag] ciflow/trunk/169229 -> ciflow/trunk/169229 2025-12-04T08:47:59.3407757Z * [new tag] ciflow/trunk/169231 -> ciflow/trunk/169231 2025-12-04T08:47:59.3408878Z * [new tag] ciflow/trunk/169260 -> ciflow/trunk/169260 2025-12-04T08:47:59.3410539Z * [new tag] ciflow/trunk/169271 -> ciflow/trunk/169271 2025-12-04T08:47:59.3411539Z * [new tag] ciflow/trunk/169280 -> ciflow/trunk/169280 2025-12-04T08:47:59.3412716Z * [new tag] ciflow/trunk/169281 -> ciflow/trunk/169281 2025-12-04T08:47:59.3413937Z * [new tag] ciflow/trunk/169286 -> ciflow/trunk/169286 2025-12-04T08:47:59.3415349Z * [new tag] ciflow/trunk/169293 -> ciflow/trunk/169293 2025-12-04T08:47:59.3416479Z * [new tag] ciflow/trunk/169296 -> ciflow/trunk/169296 2025-12-04T08:47:59.3417639Z * [new tag] ciflow/trunk/169304 -> ciflow/trunk/169304 2025-12-04T08:47:59.3418796Z * [new tag] ciflow/trunk/169305 -> ciflow/trunk/169305 2025-12-04T08:47:59.3420045Z * [new tag] ciflow/trunk/169312 -> ciflow/trunk/169312 2025-12-04T08:47:59.3421556Z * [new tag] ciflow/trunk/169328 -> ciflow/trunk/169328 2025-12-04T08:47:59.3422681Z * [new tag] ciflow/trunk/169343 -> ciflow/trunk/169343 2025-12-04T08:47:59.3424188Z * [new tag] ciflow/trunk/169355 -> ciflow/trunk/169355 2025-12-04T08:47:59.3425397Z * [new tag] ciflow/trunk/169370 -> ciflow/trunk/169370 2025-12-04T08:47:59.3426704Z * [new tag] ciflow/trunk/169379 -> ciflow/trunk/169379 2025-12-04T08:47:59.3427853Z * [new tag] ciflow/trunk/169380 -> ciflow/trunk/169380 2025-12-04T08:47:59.3428990Z * [new tag] ciflow/trunk/169385 -> ciflow/trunk/169385 2025-12-04T08:47:59.3430179Z * [new tag] ciflow/trunk/169387 -> ciflow/trunk/169387 2025-12-04T08:47:59.3431488Z * [new tag] ciflow/trunk/169410 -> ciflow/trunk/169410 2025-12-04T08:47:59.3432631Z * [new tag] ciflow/trunk/169412 -> ciflow/trunk/169412 2025-12-04T08:47:59.3433789Z * [new tag] ciflow/trunk/169418 -> ciflow/trunk/169418 2025-12-04T08:47:59.3434968Z * [new tag] ciflow/trunk/169423 -> ciflow/trunk/169423 2025-12-04T08:47:59.3436085Z * [new tag] ciflow/trunk/169427 -> ciflow/trunk/169427 2025-12-04T08:47:59.3437224Z * [new tag] ciflow/trunk/169430 -> ciflow/trunk/169430 2025-12-04T08:47:59.3438365Z * [new tag] ciflow/trunk/169437 -> ciflow/trunk/169437 2025-12-04T08:47:59.3439598Z * [new tag] ciflow/trunk/169442 -> ciflow/trunk/169442 2025-12-04T08:47:59.3440665Z * [new tag] ciflow/trunk/169452 -> ciflow/trunk/169452 2025-12-04T08:47:59.3441841Z * [new tag] ciflow/trunk/169454 -> ciflow/trunk/169454 2025-12-04T08:47:59.3442972Z * [new tag] ciflow/trunk/169459 -> ciflow/trunk/169459 2025-12-04T08:47:59.3444351Z * [new tag] ciflow/trunk/169474 -> ciflow/trunk/169474 2025-12-04T08:47:59.3445448Z * [new tag] ciflow/trunk/169475 -> ciflow/trunk/169475 2025-12-04T08:47:59.3446578Z * [new tag] ciflow/trunk/169476 -> ciflow/trunk/169476 2025-12-04T08:47:59.3447895Z * [new tag] ciflow/trunk/169487 -> ciflow/trunk/169487 2025-12-04T08:47:59.3449230Z * [new tag] ciflow/trunk/169497 -> ciflow/trunk/169497 2025-12-04T08:47:59.3450328Z * [new tag] ciflow/trunk/169503 -> ciflow/trunk/169503 2025-12-04T08:47:59.3451452Z * [new tag] ciflow/trunk/169505 -> ciflow/trunk/169505 2025-12-04T08:47:59.3452730Z * [new tag] ciflow/trunk/169507 -> ciflow/trunk/169507 2025-12-04T08:47:59.3453885Z * [new tag] ciflow/trunk/169514 -> ciflow/trunk/169514 2025-12-04T08:47:59.3455110Z * [new tag] ciflow/trunk/169517 -> ciflow/trunk/169517 2025-12-04T08:47:59.3456194Z * [new tag] ciflow/trunk/169519 -> ciflow/trunk/169519 2025-12-04T08:47:59.3457308Z * [new tag] ciflow/trunk/169528 -> ciflow/trunk/169528 2025-12-04T08:47:59.3458474Z * [new tag] ciflow/trunk/169541 -> ciflow/trunk/169541 2025-12-04T08:47:59.3459911Z * [new tag] ciflow/trunk/169555 -> ciflow/trunk/169555 2025-12-04T08:47:59.3461489Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-12-04T08:47:59.3462807Z * [new tag] ciflow/vllm/165270 -> ciflow/vllm/165270 2025-12-04T08:47:59.3463901Z * [new tag] ciflow/vllm/165274 -> ciflow/vllm/165274 2025-12-04T08:47:59.3465033Z * [new tag] ciflow/vllm/166494 -> ciflow/vllm/166494 2025-12-04T08:47:59.3466856Z * [new tag] ciflow/vllm/169219 -> ciflow/vllm/169219 2025-12-04T08:47:59.3468024Z * [new tag] ciflow/vllm/169220 -> ciflow/vllm/169220 2025-12-04T08:47:59.3469370Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-12-04T08:47:59.3470451Z * [new tag] ciflow/xpu/159718 -> ciflow/xpu/159718 2025-12-04T08:47:59.3471552Z * [new tag] ciflow/xpu/161940 -> ciflow/xpu/161940 2025-12-04T08:47:59.3472809Z * [new tag] ciflow/xpu/163251 -> ciflow/xpu/163251 2025-12-04T08:47:59.3473958Z * [new tag] ciflow/xpu/166829 -> ciflow/xpu/166829 2025-12-04T08:47:59.3475030Z * [new tag] ciflow/xpu/166843 -> ciflow/xpu/166843 2025-12-04T08:47:59.3476118Z * [new tag] ciflow/xpu/167972 -> ciflow/xpu/167972 2025-12-04T08:47:59.3477224Z * [new tag] ciflow/xpu/167981 -> ciflow/xpu/167981 2025-12-04T08:47:59.3478350Z * [new tag] ciflow/xpu/168213 -> ciflow/xpu/168213 2025-12-04T08:47:59.3479451Z * [new tag] ciflow/xpu/168262 -> ciflow/xpu/168262 2025-12-04T08:47:59.3480520Z * [new tag] ciflow/xpu/168328 -> ciflow/xpu/168328 2025-12-04T08:47:59.3481946Z * [new tag] ciflow/xpu/168950 -> ciflow/xpu/168950 2025-12-04T08:47:59.3483955Z * [new tag] ciflow/xpu/169039 -> ciflow/xpu/169039 2025-12-04T08:47:59.3485285Z * [new tag] ciflow/xpu/169200 -> ciflow/xpu/169200 2025-12-04T08:47:59.3486477Z * [new tag] ciflow/xpu/169203 -> ciflow/xpu/169203 2025-12-04T08:47:59.3487606Z * [new tag] ciflow/xpu/169229 -> ciflow/xpu/169229 2025-12-04T08:47:59.3488908Z * [new tag] ciflow/xpu/169230 -> ciflow/xpu/169230 2025-12-04T08:47:59.3490015Z * [new tag] ciflow/xpu/169231 -> ciflow/xpu/169231 2025-12-04T08:47:59.3491350Z * [new tag] ciflow/xpu/169241 -> ciflow/xpu/169241 2025-12-04T08:47:59.3492540Z * [new tag] ciflow/xpu/169280 -> ciflow/xpu/169280 2025-12-04T08:47:59.3493694Z * [new tag] ciflow/xpu/169296 -> ciflow/xpu/169296 2025-12-04T08:47:59.3495054Z * [new tag] ciflow/xpu/169353 -> ciflow/xpu/169353 2025-12-04T08:47:59.3496159Z * [new tag] ciflow/xpu/169410 -> ciflow/xpu/169410 2025-12-04T08:47:59.3497353Z * [new tag] ciflow/xpu/169442 -> ciflow/xpu/169442 2025-12-04T08:47:59.3498497Z * [new tag] ciflow/xpu/169555 -> ciflow/xpu/169555 2025-12-04T08:47:59.3499824Z * [new tag] cslpull75 -> cslpull75 2025-12-04T08:47:59.3501098Z * [new tag] cslpull76 -> cslpull76 2025-12-04T08:47:59.3502691Z * [new tag] cslpull77 -> cslpull77 2025-12-04T08:47:59.3503892Z * [new tag] cslpull78 -> cslpull78 2025-12-04T08:47:59.3505447Z * [new tag] cslpull79 -> cslpull79 2025-12-04T08:47:59.3506982Z * [new tag] cslpull80 -> cslpull80 2025-12-04T08:47:59.3508274Z * [new tag] cslpull81 -> cslpull81 2025-12-04T08:47:59.3509627Z * [new tag] cslpull82 -> cslpull82 2025-12-04T08:47:59.3510933Z * [new tag] cslpull83 -> cslpull83 2025-12-04T08:47:59.3512244Z * [new tag] cslpull84 -> cslpull84 2025-12-04T08:47:59.3513475Z * [new tag] cslpull85 -> cslpull85 2025-12-04T08:47:59.3514800Z * [new tag] cslpull86 -> cslpull86 2025-12-04T08:47:59.3516097Z * [new tag] cslpull87 -> cslpull87 2025-12-04T08:47:59.3517429Z * [new tag] cslpull88 -> cslpull88 2025-12-04T08:47:59.3518713Z * [new tag] cslpull89 -> cslpull89 2025-12-04T08:47:59.3519816Z * [new tag] cslpull90 -> cslpull90 2025-12-04T08:47:59.3521509Z * [new tag] cslpull91 -> cslpull91 2025-12-04T08:47:59.3522795Z * [new tag] cslpull92 -> cslpull92 2025-12-04T08:47:59.3524085Z * [new tag] flight_5 -> flight_5 2025-12-04T08:47:59.3525606Z * [new tag] flight_5.1 -> flight_5.1 2025-12-04T08:47:59.3526895Z * [new tag] flight_5.2 -> flight_5.2 2025-12-04T08:47:59.3528533Z * [new tag] flight_5.3 -> flight_5.3 2025-12-04T08:47:59.3529836Z * [new tag] forpull1 -> forpull1 2025-12-04T08:47:59.3531579Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-12-04T08:47:59.3535037Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-12-04T08:47:59.3535234Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-12-04T08:47:59.3536782Z * [new tag] nightly-binary -> nightly-binary 2025-12-04T08:47:59.3537420Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-12-04T08:47:59.3539210Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-12-04T08:47:59.3540985Z * [new tag] trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 -> trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 2025-12-04T08:47:59.3542296Z * [new tag] trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e -> trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e 2025-12-04T08:47:59.3543945Z * [new tag] trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 -> trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 2025-12-04T08:47:59.3545486Z * [new tag] trunk/07dcc0b83db3211653a38565a24e15acdba75654 -> trunk/07dcc0b83db3211653a38565a24e15acdba75654 2025-12-04T08:47:59.3546817Z * [new tag] trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb -> trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb 2025-12-04T08:47:59.3548144Z * [new tag] trunk/088048f2fea28ff7d450f65c72419ca45780d30b -> trunk/088048f2fea28ff7d450f65c72419ca45780d30b 2025-12-04T08:47:59.3549474Z * [new tag] trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 -> trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 2025-12-04T08:47:59.3550836Z * [new tag] trunk/0b80a4c62b94402844bf221791c096b0035c6d75 -> trunk/0b80a4c62b94402844bf221791c096b0035c6d75 2025-12-04T08:47:59.3552409Z * [new tag] trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 -> trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 2025-12-04T08:47:59.3553825Z * [new tag] trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 -> trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 2025-12-04T08:47:59.3555113Z * [new tag] trunk/135f3753c418a6879b1954904184937b67e61688 -> trunk/135f3753c418a6879b1954904184937b67e61688 2025-12-04T08:47:59.3556513Z * [new tag] trunk/15da21026cb13cd20257dc9e96830db108743c10 -> trunk/15da21026cb13cd20257dc9e96830db108743c10 2025-12-04T08:47:59.3557917Z * [new tag] trunk/166efdad2ac827f30fb02504c6017520257f88ec -> trunk/166efdad2ac827f30fb02504c6017520257f88ec 2025-12-04T08:47:59.3559209Z * [new tag] trunk/174272c15fae553d8488140af931f7d8050a313f -> trunk/174272c15fae553d8488140af931f7d8050a313f 2025-12-04T08:47:59.3560785Z * [new tag] trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 -> trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 2025-12-04T08:47:59.3562132Z * [new tag] trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 -> trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 2025-12-04T08:47:59.3563408Z * [new tag] trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 -> trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 2025-12-04T08:47:59.3564689Z * [new tag] trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 -> trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 2025-12-04T08:47:59.3566035Z * [new tag] trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e -> trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e 2025-12-04T08:47:59.3567267Z * [new tag] trunk/1c87554d74140eaee964ca8b1832cede67f5f520 -> trunk/1c87554d74140eaee964ca8b1832cede67f5f520 2025-12-04T08:47:59.3568662Z * [new tag] trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 -> trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 2025-12-04T08:47:59.3570089Z * [new tag] trunk/1cee47d6ce0a02227185b566593f002dd639ca0c -> trunk/1cee47d6ce0a02227185b566593f002dd639ca0c 2025-12-04T08:47:59.3571337Z * [new tag] trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d -> trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d 2025-12-04T08:47:59.3572620Z * [new tag] trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 -> trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 2025-12-04T08:47:59.3574155Z * [new tag] trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de -> trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de 2025-12-04T08:47:59.3575456Z * [new tag] trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 -> trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 2025-12-04T08:47:59.3576814Z * [new tag] trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 -> trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 2025-12-04T08:47:59.3578136Z * [new tag] trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f -> trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f 2025-12-04T08:47:59.3579660Z * [new tag] trunk/285779b1621cf9f073a062b0889a642d200308d9 -> trunk/285779b1621cf9f073a062b0889a642d200308d9 2025-12-04T08:47:59.3580737Z * [new tag] trunk/2887faaec6295d081580d09fce161201826c6d87 -> trunk/2887faaec6295d081580d09fce161201826c6d87 2025-12-04T08:47:59.3582162Z * [new tag] trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc -> trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc 2025-12-04T08:47:59.3583511Z * [new tag] trunk/29856679769b3dede478767e2fe6cfb51197cb25 -> trunk/29856679769b3dede478767e2fe6cfb51197cb25 2025-12-04T08:47:59.3584952Z * [new tag] trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 -> trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 2025-12-04T08:47:59.3586282Z * [new tag] trunk/2ac3ef882afb23136adc188975f0a8802fc68adf -> trunk/2ac3ef882afb23136adc188975f0a8802fc68adf 2025-12-04T08:47:59.3587334Z * [new tag] trunk/2bec68e73b64715354af076ad309335f943e36cd -> trunk/2bec68e73b64715354af076ad309335f943e36cd 2025-12-04T08:47:59.3588823Z * [new tag] trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 -> trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 2025-12-04T08:47:59.3590069Z * [new tag] trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 -> trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 2025-12-04T08:47:59.3591581Z * [new tag] trunk/2df6058f116a65722a0e03073402feb242572d35 -> trunk/2df6058f116a65722a0e03073402feb242572d35 2025-12-04T08:47:59.3592974Z * [new tag] trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec -> trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec 2025-12-04T08:47:59.3594293Z * [new tag] trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 -> trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 2025-12-04T08:47:59.3595594Z * [new tag] trunk/305168768a95d69c444df5cd334bb774edfe06f1 -> trunk/305168768a95d69c444df5cd334bb774edfe06f1 2025-12-04T08:47:59.3596944Z * [new tag] trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 -> trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 2025-12-04T08:47:59.3598263Z * [new tag] trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 -> trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 2025-12-04T08:47:59.3599642Z * [new tag] trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 -> trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 2025-12-04T08:47:59.3601417Z * [new tag] trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf -> trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf 2025-12-04T08:47:59.3603097Z * [new tag] trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee -> trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee 2025-12-04T08:47:59.3604469Z * [new tag] trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 -> trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 2025-12-04T08:47:59.3605514Z * [new tag] trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 -> trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 2025-12-04T08:47:59.3606954Z * [new tag] trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae -> trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae 2025-12-04T08:47:59.3608274Z * [new tag] trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f -> trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f 2025-12-04T08:47:59.3609607Z * [new tag] trunk/42e9005cda22da3f1c559c3649218cebd671027c -> trunk/42e9005cda22da3f1c559c3649218cebd671027c 2025-12-04T08:47:59.3610925Z * [new tag] trunk/43b94713bbf340d3c124fde02d0f73add4021247 -> trunk/43b94713bbf340d3c124fde02d0f73add4021247 2025-12-04T08:47:59.3612308Z * [new tag] trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c -> trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c 2025-12-04T08:47:59.3613569Z * [new tag] trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a -> trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a 2025-12-04T08:47:59.3614827Z * [new tag] trunk/45d310ad84854dff730c0b12e577d7998d978686 -> trunk/45d310ad84854dff730c0b12e577d7998d978686 2025-12-04T08:47:59.3616487Z * [new tag] trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 -> trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 2025-12-04T08:47:59.3617796Z * [new tag] trunk/481e5ab336275bd3acd5fa8a611b05b4469012af -> trunk/481e5ab336275bd3acd5fa8a611b05b4469012af 2025-12-04T08:47:59.3619267Z * [new tag] trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 -> trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 2025-12-04T08:47:59.3620601Z * [new tag] trunk/49a04d26088acc17d948ddd66920f3e16371e873 -> trunk/49a04d26088acc17d948ddd66920f3e16371e873 2025-12-04T08:47:59.3621924Z * [new tag] trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 -> trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 2025-12-04T08:47:59.3622997Z * [new tag] trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f -> trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f 2025-12-04T08:47:59.3624645Z * [new tag] trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa -> trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa 2025-12-04T08:47:59.3626057Z * [new tag] trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c -> trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c 2025-12-04T08:47:59.3627894Z * [new tag] trunk/4fefb8e7e942386ffac764a41b232241f82bea3a -> trunk/4fefb8e7e942386ffac764a41b232241f82bea3a 2025-12-04T08:47:59.3629217Z * [new tag] trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d -> trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d 2025-12-04T08:47:59.3630575Z * [new tag] trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 -> trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 2025-12-04T08:47:59.3631963Z * [new tag] trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 -> trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 2025-12-04T08:47:59.3633378Z * [new tag] trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a -> trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a 2025-12-04T08:47:59.3634774Z * [new tag] trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 -> trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 2025-12-04T08:47:59.3636135Z * [new tag] trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 -> trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 2025-12-04T08:47:59.3637548Z * [new tag] trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 -> trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 2025-12-04T08:47:59.3638914Z * [new tag] trunk/5634469fda9e5d98869c82c7d03bb08914245f96 -> trunk/5634469fda9e5d98869c82c7d03bb08914245f96 2025-12-04T08:47:59.3639961Z * [new tag] trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc -> trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc 2025-12-04T08:47:59.3641436Z * [new tag] trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 -> trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 2025-12-04T08:47:59.3642781Z * [new tag] trunk/597930f6b568852356ca9795dac76f9e4653adbd -> trunk/597930f6b568852356ca9795dac76f9e4653adbd 2025-12-04T08:47:59.3643972Z * [new tag] trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 -> trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 2025-12-04T08:47:59.3645409Z * [new tag] trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 -> trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 2025-12-04T08:47:59.3646803Z * [new tag] trunk/5a607febc04c3a2b5824c75f3f60307867439a2c -> trunk/5a607febc04c3a2b5824c75f3f60307867439a2c 2025-12-04T08:47:59.3648157Z * [new tag] trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b -> trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b 2025-12-04T08:47:59.3649347Z * [new tag] trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c -> trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c 2025-12-04T08:47:59.3650633Z * [new tag] trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 -> trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 2025-12-04T08:47:59.3652024Z * [new tag] trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 -> trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 2025-12-04T08:47:59.3653391Z * [new tag] trunk/61be54a31dc09b59d99b62176fb935aee0b924ef -> trunk/61be54a31dc09b59d99b62176fb935aee0b924ef 2025-12-04T08:47:59.3654746Z * [new tag] trunk/62d3ccd71484ed6a760d909b41487101bbc65719 -> trunk/62d3ccd71484ed6a760d909b41487101bbc65719 2025-12-04T08:47:59.3656055Z * [new tag] trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b -> trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b 2025-12-04T08:47:59.3657392Z * [new tag] trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a -> trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a 2025-12-04T08:47:59.3658903Z * [new tag] trunk/66004b993744b4106bf8afaba71f3c228a804206 -> trunk/66004b993744b4106bf8afaba71f3c228a804206 2025-12-04T08:47:59.3660320Z * [new tag] trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 -> trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 2025-12-04T08:47:59.3661862Z * [new tag] trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 -> trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 2025-12-04T08:47:59.3663112Z * [new tag] trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d -> trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d 2025-12-04T08:47:59.3664476Z * [new tag] trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b -> trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b 2025-12-04T08:47:59.3665765Z * [new tag] trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 -> trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 2025-12-04T08:47:59.3667075Z * [new tag] trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 -> trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 2025-12-04T08:47:59.3668444Z * [new tag] trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec -> trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec 2025-12-04T08:47:59.3669787Z * [new tag] trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 -> trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 2025-12-04T08:47:59.3671149Z * [new tag] trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d -> trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d 2025-12-04T08:47:59.3672480Z * [new tag] trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a -> trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a 2025-12-04T08:47:59.3673885Z * [new tag] trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e -> trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e 2025-12-04T08:47:59.3675198Z * [new tag] trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 -> trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 2025-12-04T08:47:59.3676490Z * [new tag] trunk/70d797a5fc109b20a517646fcaa819477cd0d485 -> trunk/70d797a5fc109b20a517646fcaa819477cd0d485 2025-12-04T08:47:59.3677817Z * [new tag] trunk/7348cb355ff0a6f79cd4871215aea72185748734 -> trunk/7348cb355ff0a6f79cd4871215aea72185748734 2025-12-04T08:47:59.3679131Z * [new tag] trunk/74fe26a1ebe32931783569f2e762e3c2c974901f -> trunk/74fe26a1ebe32931783569f2e762e3c2c974901f 2025-12-04T08:47:59.3680510Z * [new tag] trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 -> trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 2025-12-04T08:47:59.3681864Z * [new tag] trunk/7741edd4ed665f3988052e260863efb508d61a03 -> trunk/7741edd4ed665f3988052e260863efb508d61a03 2025-12-04T08:47:59.3683256Z * [new tag] trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 -> trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 2025-12-04T08:47:59.3684570Z * [new tag] trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 -> trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 2025-12-04T08:47:59.3685635Z * [new tag] trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 -> trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 2025-12-04T08:47:59.3687086Z * [new tag] trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca -> trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca 2025-12-04T08:47:59.3688821Z * [new tag] trunk/7b7af390ea8541c611d1ce2018a6934188fc197b -> trunk/7b7af390ea8541c611d1ce2018a6934188fc197b 2025-12-04T08:47:59.3690208Z * [new tag] trunk/7ba4680f3755a560af81aa0f688791e367aa3609 -> trunk/7ba4680f3755a560af81aa0f688791e367aa3609 2025-12-04T08:47:59.3691589Z * [new tag] trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b -> trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b 2025-12-04T08:47:59.3692602Z * [new tag] trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 2025-12-04T08:47:59.3693937Z * [new tag] trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 -> trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 2025-12-04T08:47:59.3695387Z * [new tag] trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed -> trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed 2025-12-04T08:47:59.3696645Z * [new tag] trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 -> trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 2025-12-04T08:47:59.3698087Z * [new tag] trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e -> trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e 2025-12-04T08:47:59.3699173Z * [new tag] trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead -> trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead 2025-12-04T08:47:59.3700656Z * [new tag] trunk/81af382128efa094d8702e18f2c133760904c718 -> trunk/81af382128efa094d8702e18f2c133760904c718 2025-12-04T08:47:59.3702546Z * [new tag] trunk/84149583d483e9c973c9a0feda70e4f3964947b0 -> trunk/84149583d483e9c973c9a0feda70e4f3964947b0 2025-12-04T08:47:59.3704113Z * [new tag] trunk/85a315917efe82c24306be805c584ec044951c75 -> trunk/85a315917efe82c24306be805c584ec044951c75 2025-12-04T08:47:59.3705561Z * [new tag] trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece -> trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece 2025-12-04T08:47:59.3706751Z * [new tag] trunk/892640e25aeefa8007c5af837214b4502b6b62a6 -> trunk/892640e25aeefa8007c5af837214b4502b6b62a6 2025-12-04T08:47:59.3708312Z * [new tag] trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 -> trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 2025-12-04T08:47:59.3709587Z * [new tag] trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c -> trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c 2025-12-04T08:47:59.3710948Z * [new tag] trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 -> trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 2025-12-04T08:47:59.3712359Z * [new tag] trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 -> trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 2025-12-04T08:47:59.3713747Z * [new tag] trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca -> trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca 2025-12-04T08:47:59.3715077Z * [new tag] trunk/90b27e7e8352cde97d32ddad24740ef819633f38 -> trunk/90b27e7e8352cde97d32ddad24740ef819633f38 2025-12-04T08:47:59.3716291Z * [new tag] trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 -> trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 2025-12-04T08:47:59.3717371Z * [new tag] trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c -> trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c 2025-12-04T08:47:59.3718849Z * [new tag] trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 -> trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 2025-12-04T08:47:59.3720260Z * [new tag] trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 -> trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 2025-12-04T08:47:59.3721615Z * [new tag] trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa -> trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa 2025-12-04T08:47:59.3722925Z * [new tag] trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d -> trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d 2025-12-04T08:47:59.3724453Z * [new tag] trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 -> trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 2025-12-04T08:47:59.3725523Z * [new tag] trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 -> trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 2025-12-04T08:47:59.3726991Z * [new tag] trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d -> trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d 2025-12-04T08:47:59.3728332Z * [new tag] trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a -> trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a 2025-12-04T08:47:59.3729678Z * [new tag] trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 -> trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 2025-12-04T08:47:59.3731118Z * [new tag] trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 -> trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 2025-12-04T08:47:59.3732484Z * [new tag] trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa -> trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa 2025-12-04T08:47:59.3733896Z * [new tag] trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d -> trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d 2025-12-04T08:47:59.3735488Z * [new tag] trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c -> trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c 2025-12-04T08:47:59.3736768Z * [new tag] trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 -> trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 2025-12-04T08:47:59.3738131Z * [new tag] trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c -> trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c 2025-12-04T08:47:59.3739257Z * [new tag] trunk/a7dc6dab9ad911259d4801c502907e531594db45 -> trunk/a7dc6dab9ad911259d4801c502907e531594db45 2025-12-04T08:47:59.3740800Z * [new tag] trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 -> trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 2025-12-04T08:47:59.3742169Z * [new tag] trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e -> trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e 2025-12-04T08:47:59.3743485Z * [new tag] trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e -> trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e 2025-12-04T08:47:59.3744683Z * [new tag] trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e -> trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e 2025-12-04T08:47:59.3746056Z * [new tag] trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 -> trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 2025-12-04T08:47:59.3747337Z * [new tag] trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 -> trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 2025-12-04T08:47:59.3748833Z * [new tag] trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 -> trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 2025-12-04T08:47:59.3750209Z * [new tag] trunk/b39813b4a04931682b0491adba2138d01d716d99 -> trunk/b39813b4a04931682b0491adba2138d01d716d99 2025-12-04T08:47:59.3751577Z * [new tag] trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 -> trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 2025-12-04T08:47:59.3752965Z * [new tag] trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 -> trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 2025-12-04T08:47:59.3754365Z * [new tag] trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a -> trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a 2025-12-04T08:47:59.3755747Z * [new tag] trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 -> trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 2025-12-04T08:47:59.3757107Z * [new tag] trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 -> trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 2025-12-04T08:47:59.3758506Z * [new tag] trunk/b7d60685f8cbc939b68a20871e90db67e729329b -> trunk/b7d60685f8cbc939b68a20871e90db67e729329b 2025-12-04T08:47:59.3759900Z * [new tag] trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e -> trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e 2025-12-04T08:47:59.3761263Z * [new tag] trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf -> trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf 2025-12-04T08:47:59.3762599Z * [new tag] trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 -> trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 2025-12-04T08:47:59.3763996Z * [new tag] trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f -> trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f 2025-12-04T08:47:59.3765487Z * [new tag] trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f -> trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f 2025-12-04T08:47:59.3766796Z * [new tag] trunk/bb3034198b459401fabeab254e1b99f0115046e2 -> trunk/bb3034198b459401fabeab254e1b99f0115046e2 2025-12-04T08:47:59.3768183Z * [new tag] trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 -> trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 2025-12-04T08:47:59.3769587Z * [new tag] trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 -> trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 2025-12-04T08:47:59.3771200Z * [new tag] trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 -> trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 2025-12-04T08:47:59.3772498Z * [new tag] trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 -> trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 2025-12-04T08:47:59.3774108Z * [new tag] trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 -> trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 2025-12-04T08:47:59.3775485Z * [new tag] trunk/c0660bcee27e7d7731634e274576a7081882bede -> trunk/c0660bcee27e7d7731634e274576a7081882bede 2025-12-04T08:47:59.3777378Z * [new tag] trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac -> trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac 2025-12-04T08:47:59.3778760Z * [new tag] trunk/c55b1e8f61d041ee436d697449eb028931d574fb -> trunk/c55b1e8f61d041ee436d697449eb028931d574fb 2025-12-04T08:47:59.3780078Z * [new tag] trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 -> trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 2025-12-04T08:47:59.3781707Z * [new tag] trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 -> trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 2025-12-04T08:47:59.3783177Z * [new tag] trunk/cc0853af42122f8185321f542616f4474e717f09 -> trunk/cc0853af42122f8185321f542616f4474e717f09 2025-12-04T08:47:59.3784403Z * [new tag] trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 -> trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 2025-12-04T08:47:59.3785879Z * [new tag] trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a -> trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a 2025-12-04T08:47:59.3787250Z * [new tag] trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace -> trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace 2025-12-04T08:47:59.3788747Z * [new tag] trunk/d16447dacaf2420ea175f0c275c75da951f57d39 -> trunk/d16447dacaf2420ea175f0c275c75da951f57d39 2025-12-04T08:47:59.3789991Z * [new tag] trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 -> trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 2025-12-04T08:47:59.3791368Z * [new tag] trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 -> trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 2025-12-04T08:47:59.3792829Z * [new tag] trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf -> trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf 2025-12-04T08:47:59.3794306Z * [new tag] trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 -> trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 2025-12-04T08:47:59.3795626Z * [new tag] trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d -> trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d 2025-12-04T08:47:59.3797037Z * [new tag] trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 -> trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 2025-12-04T08:47:59.3798422Z * [new tag] trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 -> trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 2025-12-04T08:47:59.3799778Z * [new tag] trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e -> trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e 2025-12-04T08:47:59.3801148Z * [new tag] trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a -> trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a 2025-12-04T08:47:59.3802704Z * [new tag] trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b -> trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b 2025-12-04T08:47:59.3804194Z * [new tag] trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec -> trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec 2025-12-04T08:47:59.3805577Z * [new tag] trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf -> trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf 2025-12-04T08:47:59.3806871Z * [new tag] trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd -> trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd 2025-12-04T08:47:59.3808394Z * [new tag] trunk/dd18a75336a4fbd7497955cc5665904724fce889 -> trunk/dd18a75336a4fbd7497955cc5665904724fce889 2025-12-04T08:47:59.3809712Z * [new tag] trunk/ded9bcd61a059bf723e6e84689552962b480ea77 -> trunk/ded9bcd61a059bf723e6e84689552962b480ea77 2025-12-04T08:47:59.3811704Z * [new tag] trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c -> trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c 2025-12-04T08:47:59.3812725Z * [new tag] trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b -> trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b 2025-12-04T08:47:59.3814040Z * [new tag] trunk/e3f24fd73ad74c6e7176687986436956c7c18235 -> trunk/e3f24fd73ad74c6e7176687986436956c7c18235 2025-12-04T08:47:59.3815537Z * [new tag] trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e -> trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e 2025-12-04T08:47:59.3817057Z * [new tag] trunk/ea7035f462a0d2830865ee86c832bd101e1427fc -> trunk/ea7035f462a0d2830865ee86c832bd101e1427fc 2025-12-04T08:47:59.3818420Z * [new tag] trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf -> trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf 2025-12-04T08:47:59.3819837Z * [new tag] trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e -> trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e 2025-12-04T08:47:59.3821199Z * [new tag] trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e -> trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e 2025-12-04T08:47:59.3823043Z * [new tag] trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 -> trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 2025-12-04T08:47:59.3824234Z * [new tag] trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 -> trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 2025-12-04T08:47:59.3825761Z * [new tag] trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 -> trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 2025-12-04T08:47:59.3827110Z * [new tag] trunk/f1076f5510920044912247b1abb8760cb820f598 -> trunk/f1076f5510920044912247b1abb8760cb820f598 2025-12-04T08:47:59.3828474Z * [new tag] trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 -> trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 2025-12-04T08:47:59.3829910Z * [new tag] trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 -> trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 2025-12-04T08:47:59.3831607Z * [new tag] trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 -> trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 2025-12-04T08:47:59.3832696Z * [new tag] trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 -> trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 2025-12-04T08:47:59.3834238Z * [new tag] trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 -> trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 2025-12-04T08:47:59.3835622Z * [new tag] trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 -> trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 2025-12-04T08:47:59.3836628Z * [new tag] trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 -> trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 2025-12-04T08:47:59.3838324Z * [new tag] trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b -> trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b 2025-12-04T08:47:59.3839882Z * [new tag] trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 -> trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 2025-12-04T08:47:59.3841723Z * [new tag] trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 -> trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 2025-12-04T08:47:59.3843123Z * [new tag] trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 -> trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 2025-12-04T08:47:59.3844128Z * [new tag] trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 -> trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:47:59.3845402Z * [new tag] v0.1.1 -> v0.1.1 2025-12-04T08:47:59.3846761Z * [new tag] v0.1.10 -> v0.1.10 2025-12-04T08:47:59.3847981Z * [new tag] v0.1.11 -> v0.1.11 2025-12-04T08:47:59.3849280Z * [new tag] v0.1.12 -> v0.1.12 2025-12-04T08:47:59.3850469Z * [new tag] v0.1.2 -> v0.1.2 2025-12-04T08:47:59.3851758Z * [new tag] v0.1.3 -> v0.1.3 2025-12-04T08:47:59.3853002Z * [new tag] v0.1.4 -> v0.1.4 2025-12-04T08:47:59.3854291Z * [new tag] v0.1.5 -> v0.1.5 2025-12-04T08:47:59.3855534Z * [new tag] v0.1.6 -> v0.1.6 2025-12-04T08:47:59.3856773Z * [new tag] v0.1.7 -> v0.1.7 2025-12-04T08:47:59.3858019Z * [new tag] v0.1.8 -> v0.1.8 2025-12-04T08:47:59.3859289Z * [new tag] v0.1.9 -> v0.1.9 2025-12-04T08:47:59.3860605Z * [new tag] v0.2.0 -> v0.2.0 2025-12-04T08:47:59.3861923Z * [new tag] v0.3.0 -> v0.3.0 2025-12-04T08:47:59.3863346Z * [new tag] v0.3.1 -> v0.3.1 2025-12-04T08:47:59.3864676Z * [new tag] v0.4.0 -> v0.4.0 2025-12-04T08:47:59.3865917Z * [new tag] v0.4.1 -> v0.4.1 2025-12-04T08:47:59.3867172Z * [new tag] v1.0.0 -> v1.0.0 2025-12-04T08:47:59.3868860Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-12-04T08:47:59.3870151Z * [new tag] v1.0.1 -> v1.0.1 2025-12-04T08:47:59.3871489Z * [new tag] v1.0rc0 -> v1.0rc0 2025-12-04T08:47:59.3872502Z * [new tag] v1.0rc1 -> v1.0rc1 2025-12-04T08:47:59.3873881Z * [new tag] v1.1.0 -> v1.1.0 2025-12-04T08:47:59.3875176Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-12-04T08:47:59.3876661Z * [new tag] v1.10.0 -> v1.10.0 2025-12-04T08:47:59.3878035Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-12-04T08:47:59.3879358Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-12-04T08:47:59.3880504Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-12-04T08:47:59.3881974Z * [new tag] v1.10.1 -> v1.10.1 2025-12-04T08:47:59.3883063Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-12-04T08:47:59.3884123Z * [new tag] v1.10.2 -> v1.10.2 2025-12-04T08:47:59.3885201Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-12-04T08:47:59.3886525Z * [new tag] v1.11.0 -> v1.11.0 2025-12-04T08:47:59.3887865Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-12-04T08:47:59.3889297Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-12-04T08:47:59.3890663Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-12-04T08:47:59.3892028Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-12-04T08:47:59.3893412Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-12-04T08:47:59.3894469Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-12-04T08:47:59.3895570Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-12-04T08:47:59.3896921Z * [new tag] v1.12.0 -> v1.12.0 2025-12-04T08:47:59.3898219Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-12-04T08:47:59.3899621Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-12-04T08:47:59.3901242Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-12-04T08:47:59.3904961Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-12-04T08:47:59.3906328Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-12-04T08:47:59.3907804Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-12-04T08:47:59.3908896Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-12-04T08:47:59.3910081Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-12-04T08:47:59.3911172Z * [new tag] v1.12.1 -> v1.12.1 2025-12-04T08:47:59.3912654Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-12-04T08:47:59.3914035Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-12-04T08:47:59.3915416Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-12-04T08:47:59.3916763Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-12-04T08:47:59.3917813Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-12-04T08:47:59.3919197Z * [new tag] v1.13.0 -> v1.13.0 2025-12-04T08:47:59.3920515Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-12-04T08:47:59.3921773Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-12-04T08:47:59.3923044Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-12-04T08:47:59.3924558Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-12-04T08:47:59.3925790Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-12-04T08:47:59.3926851Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-12-04T08:47:59.3928255Z * [new tag] v1.13.1 -> v1.13.1 2025-12-04T08:47:59.3929357Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-12-04T08:47:59.3930665Z * [new tag] v1.2.0 -> v1.2.0 2025-12-04T08:47:59.3932013Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-12-04T08:47:59.3933277Z * [new tag] v1.3.0 -> v1.3.0 2025-12-04T08:47:59.3934613Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-12-04T08:47:59.3935690Z * [new tag] v1.3.1 -> v1.3.1 2025-12-04T08:47:59.3936962Z * [new tag] v1.4.0 -> v1.4.0 2025-12-04T08:47:59.3938301Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-12-04T08:47:59.3939454Z * [new tag] v1.4.1 -> v1.4.1 2025-12-04T08:47:59.3940855Z * [new tag] v1.5.0 -> v1.5.0 2025-12-04T08:47:59.3942202Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-12-04T08:47:59.3943588Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-12-04T08:47:59.3944989Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-12-04T08:47:59.3946231Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-12-04T08:47:59.3947298Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-12-04T08:47:59.3948655Z * [new tag] v1.5.1 -> v1.5.1 2025-12-04T08:47:59.3949755Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-12-04T08:47:59.3950861Z * [new tag] v1.6.0 -> v1.6.0 2025-12-04T08:47:59.3952266Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-12-04T08:47:59.3954125Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-12-04T08:47:59.3955476Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-12-04T08:47:59.3956887Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-12-04T08:47:59.3958112Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-12-04T08:47:59.3959417Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-12-04T08:47:59.3960549Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-12-04T08:47:59.3961850Z * [new tag] v1.7.0 -> v1.7.0 2025-12-04T08:47:59.3963215Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-12-04T08:47:59.3964669Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-12-04T08:47:59.3965969Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-12-04T08:47:59.3967169Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-12-04T08:47:59.3968532Z * [new tag] v1.7.1 -> v1.7.1 2025-12-04T08:47:59.3970078Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-12-04T08:47:59.3971421Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-12-04T08:47:59.3972547Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-12-04T08:47:59.3973937Z * [new tag] v1.8.0 -> v1.8.0 2025-12-04T08:47:59.3975029Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-12-04T08:47:59.3976410Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-12-04T08:47:59.3977751Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-12-04T08:47:59.3979128Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-12-04T08:47:59.3980193Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-12-04T08:47:59.3981341Z * [new tag] v1.8.1 -> v1.8.1 2025-12-04T08:47:59.3982716Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-12-04T08:47:59.3983825Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-12-04T08:47:59.3984942Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-12-04T08:47:59.3986785Z * [new tag] v1.8.2 -> v1.8.2 2025-12-04T08:47:59.3987902Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-12-04T08:47:59.3989262Z * [new tag] v1.9.0 -> v1.9.0 2025-12-04T08:47:59.3990617Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-12-04T08:47:59.3992081Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-12-04T08:47:59.3993396Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-12-04T08:47:59.3994510Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-12-04T08:47:59.3995861Z * [new tag] v1.9.1 -> v1.9.1 2025-12-04T08:47:59.3997460Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-12-04T08:47:59.3998503Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-12-04T08:47:59.3999898Z * [new tag] v2.0.0 -> v2.0.0 2025-12-04T08:47:59.4001241Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-12-04T08:47:59.4002979Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-12-04T08:47:59.4004317Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-12-04T08:47:59.4005638Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-12-04T08:47:59.4007076Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-12-04T08:47:59.4008184Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-12-04T08:47:59.4009684Z * [new tag] v2.0.1 -> v2.0.1 2025-12-04T08:47:59.4011237Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-12-04T08:47:59.4011977Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-12-04T08:47:59.4013527Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-12-04T08:47:59.4014593Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-12-04T08:47:59.4016517Z * [new tag] v2.1.0 -> v2.1.0 2025-12-04T08:47:59.4017826Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-12-04T08:47:59.4019259Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-12-04T08:47:59.4020722Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-12-04T08:47:59.4022158Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-12-04T08:47:59.4023564Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-12-04T08:47:59.4024695Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-12-04T08:47:59.4026046Z * [new tag] v2.1.1 -> v2.1.1 2025-12-04T08:47:59.4027385Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-12-04T08:47:59.4028851Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-12-04T08:47:59.4030372Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-12-04T08:47:59.4031707Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-12-04T08:47:59.4033059Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-12-04T08:47:59.4033983Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-12-04T08:47:59.4035504Z * [new tag] v2.1.2 -> v2.1.2 2025-12-04T08:47:59.4036960Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-12-04T08:47:59.4038346Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-12-04T08:47:59.4039846Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-12-04T08:47:59.4041272Z * [new tag] v2.2.0 -> v2.2.0 2025-12-04T08:47:59.4042559Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-12-04T08:47:59.4043889Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-12-04T08:47:59.4045151Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-12-04T08:47:59.4046518Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-12-04T08:47:59.4047769Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-12-04T08:47:59.4049178Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-12-04T08:47:59.4050260Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-12-04T08:47:59.4051391Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-12-04T08:47:59.4052947Z * [new tag] v2.2.1 -> v2.2.1 2025-12-04T08:47:59.4054306Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-12-04T08:47:59.4055380Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-12-04T08:47:59.4056494Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-12-04T08:47:59.4057564Z * [new tag] v2.2.2 -> v2.2.2 2025-12-04T08:47:59.4059123Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-12-04T08:47:59.4060250Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-12-04T08:47:59.4061372Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-12-04T08:47:59.4062744Z * [new tag] v2.3.0 -> v2.3.0 2025-12-04T08:47:59.4064050Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-12-04T08:47:59.4065588Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-12-04T08:47:59.4066980Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-12-04T08:47:59.4068237Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-12-04T08:47:59.4069471Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-12-04T08:47:59.4070858Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-12-04T08:47:59.4072211Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-12-04T08:47:59.4073560Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-12-04T08:47:59.4074632Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-12-04T08:47:59.4075964Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-12-04T08:47:59.4077465Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-12-04T08:47:59.4078252Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-12-04T08:47:59.4079457Z * [new tag] v2.3.1 -> v2.3.1 2025-12-04T08:47:59.4080866Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-12-04T08:47:59.4082206Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-12-04T08:47:59.4083600Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-12-04T08:47:59.4084972Z * [new tag] v2.4.0 -> v2.4.0 2025-12-04T08:47:59.4086310Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-12-04T08:47:59.4087622Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-12-04T08:47:59.4088986Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-12-04T08:47:59.4090241Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-12-04T08:47:59.4091631Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-12-04T08:47:59.4093040Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-12-04T08:47:59.4094496Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-12-04T08:47:59.4095800Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-12-04T08:47:59.4097245Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-12-04T08:47:59.4098405Z * [new tag] v2.4.1 -> v2.4.1 2025-12-04T08:47:59.4099953Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-12-04T08:47:59.4101311Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-12-04T08:47:59.4106153Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-12-04T08:47:59.4107545Z * [new tag] v2.5.0 -> v2.5.0 2025-12-04T08:47:59.4108927Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-12-04T08:47:59.4110025Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-12-04T08:47:59.4111377Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-12-04T08:47:59.4112767Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-12-04T08:47:59.4114097Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-12-04T08:47:59.4115481Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-12-04T08:47:59.4116927Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-12-04T08:47:59.4118262Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-12-04T08:47:59.4119684Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-12-04T08:47:59.4121019Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-12-04T08:47:59.4122121Z * [new tag] v2.5.1 -> v2.5.1 2025-12-04T08:47:59.4123245Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-12-04T08:47:59.4124449Z * [new tag] v2.6.0 -> v2.6.0 2025-12-04T08:47:59.4125829Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-12-04T08:47:59.4127649Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-12-04T08:47:59.4129069Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-12-04T08:47:59.4130394Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-12-04T08:47:59.4131955Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-12-04T08:47:59.4133433Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-12-04T08:47:59.4134828Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-12-04T08:47:59.4136271Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-12-04T08:47:59.4137613Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-12-04T08:47:59.4139293Z * [new tag] v2.7.0 -> v2.7.0 2025-12-04T08:47:59.4140688Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-12-04T08:47:59.4141934Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-12-04T08:47:59.4143420Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-12-04T08:47:59.4144785Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-12-04T08:47:59.4146204Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-12-04T08:47:59.4147507Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-12-04T08:47:59.4148823Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-12-04T08:47:59.4150182Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-12-04T08:47:59.4151623Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-12-04T08:47:59.4153085Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-12-04T08:47:59.4154192Z * [new tag] v2.7.1 -> v2.7.1 2025-12-04T08:47:59.4155689Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-12-04T08:47:59.4157111Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-12-04T08:47:59.4158564Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-12-04T08:47:59.4159939Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-12-04T08:47:59.4161237Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-12-04T08:47:59.4162397Z * [new tag] v2.8.0 -> v2.8.0 2025-12-04T08:47:59.4163842Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-12-04T08:47:59.4165182Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-12-04T08:47:59.4166640Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-12-04T08:47:59.4168047Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-12-04T08:47:59.4169421Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-12-04T08:47:59.4170903Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-12-04T08:47:59.4172297Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-12-04T08:47:59.4173670Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-12-04T08:47:59.4175214Z * [new tag] v2.9.0 -> v2.9.0 2025-12-04T08:47:59.4176501Z * [new tag] v2.9.0-rc1 -> v2.9.0-rc1 2025-12-04T08:47:59.4177884Z * [new tag] v2.9.0-rc10 -> v2.9.0-rc10 2025-12-04T08:47:59.4179380Z * [new tag] v2.9.0-rc11 -> v2.9.0-rc11 2025-12-04T08:47:59.4181032Z * [new tag] v2.9.0-rc2 -> v2.9.0-rc2 2025-12-04T08:47:59.4182526Z * [new tag] v2.9.0-rc3 -> v2.9.0-rc3 2025-12-04T08:47:59.4183814Z * [new tag] v2.9.0-rc4 -> v2.9.0-rc4 2025-12-04T08:47:59.4185243Z * [new tag] v2.9.0-rc5 -> v2.9.0-rc5 2025-12-04T08:47:59.4187044Z * [new tag] v2.9.0-rc6 -> v2.9.0-rc6 2025-12-04T08:47:59.4188414Z * [new tag] v2.9.0-rc7 -> v2.9.0-rc7 2025-12-04T08:47:59.4190054Z * [new tag] v2.9.0-rc8 -> v2.9.0-rc8 2025-12-04T08:47:59.4191184Z * [new tag] v2.9.0-rc9 -> v2.9.0-rc9 2025-12-04T08:47:59.4192326Z * [new tag] v2.9.1 -> v2.9.1 2025-12-04T08:47:59.4193758Z * [new tag] v2.9.1-rc1 -> v2.9.1-rc1 2025-12-04T08:47:59.4195176Z * [new tag] v2.9.1-rc2 -> v2.9.1-rc2 2025-12-04T08:47:59.4197011Z * [new tag] viable/strict/1759343184 -> viable/strict/1759343184 2025-12-04T08:47:59.4198383Z * [new tag] viable/strict/1759346540 -> viable/strict/1759346540 2025-12-04T08:47:59.4199689Z * [new tag] viable/strict/1759348181 -> viable/strict/1759348181 2025-12-04T08:47:59.4201018Z * [new tag] viable/strict/1759350324 -> viable/strict/1759350324 2025-12-04T08:47:59.4202583Z * [new tag] viable/strict/1759351793 -> viable/strict/1759351793 2025-12-04T08:47:59.4203904Z * [new tag] viable/strict/1759353844 -> viable/strict/1759353844 2025-12-04T08:47:59.4205152Z * [new tag] viable/strict/1759355374 -> viable/strict/1759355374 2025-12-04T08:47:59.4206426Z * [new tag] viable/strict/1759357472 -> viable/strict/1759357472 2025-12-04T08:47:59.4207711Z * [new tag] viable/strict/1759361002 -> viable/strict/1759361002 2025-12-04T08:47:59.4209366Z * [new tag] viable/strict/1759362585 -> viable/strict/1759362585 2025-12-04T08:47:59.4210820Z * [new tag] viable/strict/1759365359 -> viable/strict/1759365359 2025-12-04T08:47:59.4212229Z * [new tag] viable/strict/1759370089 -> viable/strict/1759370089 2025-12-04T08:47:59.4213547Z * [new tag] viable/strict/1759377554 -> viable/strict/1759377554 2025-12-04T08:47:59.4214866Z * [new tag] viable/strict/1759379133 -> viable/strict/1759379133 2025-12-04T08:47:59.4216171Z * [new tag] viable/strict/1759389871 -> viable/strict/1759389871 2025-12-04T08:47:59.4217591Z * [new tag] viable/strict/1759393562 -> viable/strict/1759393562 2025-12-04T08:47:59.4219004Z * [new tag] viable/strict/1759395076 -> viable/strict/1759395076 2025-12-04T08:47:59.4220358Z * [new tag] viable/strict/1759398579 -> viable/strict/1759398579 2025-12-04T08:47:59.4221697Z * [new tag] viable/strict/1759404142 -> viable/strict/1759404142 2025-12-04T08:47:59.4223058Z * [new tag] viable/strict/1759405773 -> viable/strict/1759405773 2025-12-04T08:47:59.4224305Z * [new tag] viable/strict/1759408041 -> viable/strict/1759408041 2025-12-04T08:47:59.4225652Z * [new tag] viable/strict/1759411593 -> viable/strict/1759411593 2025-12-04T08:47:59.4226991Z * [new tag] viable/strict/1759427395 -> viable/strict/1759427395 2025-12-04T08:47:59.4228491Z * [new tag] viable/strict/1759434582 -> viable/strict/1759434582 2025-12-04T08:47:59.4229771Z * [new tag] viable/strict/1759436720 -> viable/strict/1759436720 2025-12-04T08:47:59.4231080Z * [new tag] viable/strict/1759440219 -> viable/strict/1759440219 2025-12-04T08:47:59.4232403Z * [new tag] viable/strict/1759441948 -> viable/strict/1759441948 2025-12-04T08:47:59.4233862Z * [new tag] viable/strict/1759443860 -> viable/strict/1759443860 2025-12-04T08:47:59.4235080Z * [new tag] viable/strict/1759445377 -> viable/strict/1759445377 2025-12-04T08:47:59.4236447Z * [new tag] viable/strict/1759447415 -> viable/strict/1759447415 2025-12-04T08:47:59.4237766Z * [new tag] viable/strict/1759451750 -> viable/strict/1759451750 2025-12-04T08:47:59.4239175Z * [new tag] viable/strict/1759453910 -> viable/strict/1759453910 2025-12-04T08:47:59.4240519Z * [new tag] viable/strict/1759456483 -> viable/strict/1759456483 2025-12-04T08:47:59.4241889Z * [new tag] viable/strict/1759459279 -> viable/strict/1759459279 2025-12-04T08:47:59.4243518Z * [new tag] viable/strict/1759460742 -> viable/strict/1759460742 2025-12-04T08:47:59.4244895Z * [new tag] viable/strict/1759462025 -> viable/strict/1759462025 2025-12-04T08:47:59.4246229Z * [new tag] viable/strict/1759469086 -> viable/strict/1759469086 2025-12-04T08:47:59.4247514Z * [new tag] viable/strict/1759470581 -> viable/strict/1759470581 2025-12-04T08:47:59.4248908Z * [new tag] viable/strict/1759472786 -> viable/strict/1759472786 2025-12-04T08:47:59.4250314Z * [new tag] viable/strict/1759476294 -> viable/strict/1759476294 2025-12-04T08:47:59.4251642Z * [new tag] viable/strict/1759479963 -> viable/strict/1759479963 2025-12-04T08:47:59.4252907Z * [new tag] viable/strict/1759492177 -> viable/strict/1759492177 2025-12-04T08:47:59.4254243Z * [new tag] viable/strict/1759519278 -> viable/strict/1759519278 2025-12-04T08:47:59.4255551Z * [new tag] viable/strict/1759524580 -> viable/strict/1759524580 2025-12-04T08:47:59.4256836Z * [new tag] viable/strict/1759528193 -> viable/strict/1759528193 2025-12-04T08:47:59.4258398Z * [new tag] viable/strict/1759533797 -> viable/strict/1759533797 2025-12-04T08:47:59.4259794Z * [new tag] viable/strict/1759542780 -> viable/strict/1759542780 2025-12-04T08:47:59.4261211Z * [new tag] viable/strict/1759549779 -> viable/strict/1759549779 2025-12-04T08:47:59.4262511Z * [new tag] viable/strict/1759555455 -> viable/strict/1759555455 2025-12-04T08:47:59.4263853Z * [new tag] viable/strict/1759559176 -> viable/strict/1759559176 2025-12-04T08:47:59.4265184Z * [new tag] viable/strict/1759560629 -> viable/strict/1759560629 2025-12-04T08:47:59.4266509Z * [new tag] viable/strict/1759569848 -> viable/strict/1759569848 2025-12-04T08:47:59.4268084Z * [new tag] viable/strict/1759571382 -> viable/strict/1759571382 2025-12-04T08:47:59.4269360Z * [new tag] viable/strict/1759573474 -> viable/strict/1759573474 2025-12-04T08:47:59.4271132Z * [new tag] viable/strict/1759618187 -> viable/strict/1759618187 2025-12-04T08:47:59.4272584Z * [new tag] viable/strict/1759626742 -> viable/strict/1759626742 2025-12-04T08:47:59.4274008Z * [new tag] viable/strict/1759632427 -> viable/strict/1759632427 2025-12-04T08:47:59.4275283Z * [new tag] viable/strict/1759634971 -> viable/strict/1759634971 2025-12-04T08:47:59.4276672Z * [new tag] viable/strict/1759661382 -> viable/strict/1759661382 2025-12-04T08:47:59.4278054Z * [new tag] viable/strict/1759663294 -> viable/strict/1759663294 2025-12-04T08:47:59.4279223Z * [new tag] viable/strict/1759708178 -> viable/strict/1759708178 2025-12-04T08:47:59.4280626Z * [new tag] viable/strict/1759715695 -> viable/strict/1759715695 2025-12-04T08:47:59.4281951Z * [new tag] viable/strict/1759728293 -> viable/strict/1759728293 2025-12-04T08:47:59.4283384Z * [new tag] viable/strict/1759735513 -> viable/strict/1759735513 2025-12-04T08:47:59.4284682Z * [new tag] viable/strict/1759739177 -> viable/strict/1759739177 2025-12-04T08:47:59.4286029Z * [new tag] viable/strict/1759758635 -> viable/strict/1759758635 2025-12-04T08:47:59.4287384Z * [new tag] viable/strict/1759765784 -> viable/strict/1759765784 2025-12-04T08:47:59.4288699Z * [new tag] viable/strict/1759767948 -> viable/strict/1759767948 2025-12-04T08:47:59.4290094Z * [new tag] viable/strict/1759771461 -> viable/strict/1759771461 2025-12-04T08:47:59.4291228Z * [new tag] viable/strict/1759776706 -> viable/strict/1759776706 2025-12-04T08:47:59.4292602Z * [new tag] viable/strict/1759782317 -> viable/strict/1759782317 2025-12-04T08:47:59.4294057Z * [new tag] viable/strict/1759783777 -> viable/strict/1759783777 2025-12-04T08:47:59.4295516Z * [new tag] viable/strict/1759785815 -> viable/strict/1759785815 2025-12-04T08:47:59.4296847Z * [new tag] viable/strict/1759789459 -> viable/strict/1759789459 2025-12-04T08:47:59.4298175Z * [new tag] viable/strict/1759790974 -> viable/strict/1759790974 2025-12-04T08:47:59.4299409Z * [new tag] viable/strict/1759794583 -> viable/strict/1759794583 2025-12-04T08:47:59.4300839Z * [new tag] viable/strict/1759797408 -> viable/strict/1759797408 2025-12-04T08:47:59.4302438Z * [new tag] viable/strict/1759799518 -> viable/strict/1759799518 2025-12-04T08:47:59.4303795Z * [new tag] viable/strict/1759804909 -> viable/strict/1759804909 2025-12-04T08:47:59.4305074Z * [new tag] viable/strict/1759807643 -> viable/strict/1759807643 2025-12-04T08:47:59.4306419Z * [new tag] viable/strict/1759809089 -> viable/strict/1759809089 2025-12-04T08:47:59.4307792Z * [new tag] viable/strict/1759811145 -> viable/strict/1759811145 2025-12-04T08:47:59.4309159Z * [new tag] viable/strict/1759812581 -> viable/strict/1759812581 2025-12-04T08:47:59.4310444Z * [new tag] viable/strict/1759814683 -> viable/strict/1759814683 2025-12-04T08:47:59.4311785Z * [new tag] viable/strict/1759821889 -> viable/strict/1759821889 2025-12-04T08:47:59.4313199Z * [new tag] viable/strict/1759823376 -> viable/strict/1759823376 2025-12-04T08:47:59.4314594Z * [new tag] viable/strict/1759827107 -> viable/strict/1759827107 2025-12-04T08:47:59.4316011Z * [new tag] viable/strict/1759830577 -> viable/strict/1759830577 2025-12-04T08:47:59.4317397Z * [new tag] viable/strict/1759832720 -> viable/strict/1759832720 2025-12-04T08:47:59.4318698Z * [new tag] viable/strict/1759842063 -> viable/strict/1759842063 2025-12-04T08:47:59.4320053Z * [new tag] viable/strict/1759847121 -> viable/strict/1759847121 2025-12-04T08:47:59.4321678Z * [new tag] viable/strict/1759850721 -> viable/strict/1759850721 2025-12-04T08:47:59.4322993Z * [new tag] viable/strict/1759857870 -> viable/strict/1759857870 2025-12-04T08:47:59.4324396Z * [new tag] viable/strict/1759863143 -> viable/strict/1759863143 2025-12-04T08:47:59.4325741Z * [new tag] viable/strict/1759875874 -> viable/strict/1759875874 2025-12-04T08:47:59.4326859Z * [new tag] viable/strict/1759877385 -> viable/strict/1759877385 2025-12-04T08:47:59.4328200Z * [new tag] viable/strict/1759883801 -> viable/strict/1759883801 2025-12-04T08:47:59.4329504Z * [new tag] viable/strict/1759885922 -> viable/strict/1759885922 2025-12-04T08:47:59.4330842Z * [new tag] viable/strict/1759888488 -> viable/strict/1759888488 2025-12-04T08:47:59.4332360Z * [new tag] viable/strict/1759895471 -> viable/strict/1759895471 2025-12-04T08:47:59.4333499Z * [new tag] viable/strict/1759904803 -> viable/strict/1759904803 2025-12-04T08:47:59.4335073Z * [new tag] viable/strict/1759908300 -> viable/strict/1759908300 2025-12-04T08:47:59.4336465Z * [new tag] viable/strict/1759915520 -> viable/strict/1759915520 2025-12-04T08:47:59.4337793Z * [new tag] viable/strict/1759916978 -> viable/strict/1759916978 2025-12-04T08:47:59.4339017Z * [new tag] viable/strict/1759930024 -> viable/strict/1759930024 2025-12-04T08:47:59.4340413Z * [new tag] viable/strict/1759948122 -> viable/strict/1759948122 2025-12-04T08:47:59.4341808Z * [new tag] viable/strict/1759952983 -> viable/strict/1759952983 2025-12-04T08:47:59.4343206Z * [new tag] viable/strict/1759955121 -> viable/strict/1759955121 2025-12-04T08:47:59.4344524Z * [new tag] viable/strict/1759962298 -> viable/strict/1759962298 2025-12-04T08:47:59.4345843Z * [new tag] viable/strict/1759965837 -> viable/strict/1759965837 2025-12-04T08:47:59.4347180Z * [new tag] viable/strict/1759970213 -> viable/strict/1759970213 2025-12-04T08:47:59.4348502Z * [new tag] viable/strict/1759974894 -> viable/strict/1759974894 2025-12-04T08:47:59.4349851Z * [new tag] viable/strict/1759977763 -> viable/strict/1759977763 2025-12-04T08:47:59.4351275Z * [new tag] viable/strict/1759979241 -> viable/strict/1759979241 2025-12-04T08:47:59.4352621Z * [new tag] viable/strict/1759985417 -> viable/strict/1759985417 2025-12-04T08:47:59.4353962Z * [new tag] viable/strict/1759987490 -> viable/strict/1759987490 2025-12-04T08:47:59.4355332Z * [new tag] viable/strict/1759996180 -> viable/strict/1759996180 2025-12-04T08:47:59.4356655Z * [new tag] viable/strict/1760065682 -> viable/strict/1760065682 2025-12-04T08:47:59.4358515Z * [new tag] viable/strict/1760066894 -> viable/strict/1760066894 2025-12-04T08:47:59.4359968Z * [new tag] viable/strict/1760070345 -> viable/strict/1760070345 2025-12-04T08:47:59.4361315Z * [new tag] viable/strict/1760089782 -> viable/strict/1760089782 2025-12-04T08:47:59.4362604Z * [new tag] viable/strict/1760091921 -> viable/strict/1760091921 2025-12-04T08:47:59.4364161Z * [new tag] viable/strict/1760127924 -> viable/strict/1760127924 2025-12-04T08:47:59.4365466Z * [new tag] viable/strict/1760129489 -> viable/strict/1760129489 2025-12-04T08:47:59.4366874Z * [new tag] viable/strict/1760132980 -> viable/strict/1760132980 2025-12-04T08:47:59.4368266Z * [new tag] viable/strict/1760135060 -> viable/strict/1760135060 2025-12-04T08:47:59.4369651Z * [new tag] viable/strict/1760215782 -> viable/strict/1760215782 2025-12-04T08:47:59.4371017Z * [new tag] viable/strict/1760273849 -> viable/strict/1760273849 2025-12-04T08:47:59.4372325Z * [new tag] viable/strict/1760275517 -> viable/strict/1760275517 2025-12-04T08:47:59.4373629Z * [new tag] viable/strict/1760276979 -> viable/strict/1760276979 2025-12-04T08:47:59.4375008Z * [new tag] viable/strict/1760279007 -> viable/strict/1760279007 2025-12-04T08:47:59.4376170Z * [new tag] viable/strict/1760286328 -> viable/strict/1760286328 2025-12-04T08:47:59.4377341Z * [new tag] viable/strict/1760493304 -> viable/strict/1760493304 2025-12-04T08:47:59.4378659Z * [new tag] viable/strict/1760496298 -> viable/strict/1760496298 2025-12-04T08:47:59.4380123Z * [new tag] viable/strict/1760518396 -> viable/strict/1760518396 2025-12-04T08:47:59.4381524Z * [new tag] viable/strict/1760534864 -> viable/strict/1760534864 2025-12-04T08:47:59.4382815Z * [new tag] viable/strict/1760549062 -> viable/strict/1760549062 2025-12-04T08:47:59.4384308Z * [new tag] viable/strict/1760552799 -> viable/strict/1760552799 2025-12-04T08:47:59.4385644Z * [new tag] viable/strict/1760554355 -> viable/strict/1760554355 2025-12-04T08:47:59.4387040Z * [new tag] viable/strict/1760556275 -> viable/strict/1760556275 2025-12-04T08:47:59.4388359Z * [new tag] viable/strict/1760564979 -> viable/strict/1760564979 2025-12-04T08:47:59.4389841Z * [new tag] viable/strict/1760567049 -> viable/strict/1760567049 2025-12-04T08:47:59.4391559Z * [new tag] viable/strict/1760568585 -> viable/strict/1760568585 2025-12-04T08:47:59.4392879Z * [new tag] viable/strict/1760570630 -> viable/strict/1760570630 2025-12-04T08:47:59.4394238Z * [new tag] viable/strict/1760572180 -> viable/strict/1760572180 2025-12-04T08:47:59.4395601Z * [new tag] viable/strict/1760575094 -> viable/strict/1760575094 2025-12-04T08:47:59.4397143Z * [new tag] viable/strict/1760579709 -> viable/strict/1760579709 2025-12-04T08:47:59.4398902Z * [new tag] viable/strict/1760582614 -> viable/strict/1760582614 2025-12-04T08:47:59.4400308Z * [new tag] viable/strict/1760586815 -> viable/strict/1760586815 2025-12-04T08:47:59.4401546Z * [new tag] viable/strict/1760588829 -> viable/strict/1760588829 2025-12-04T08:47:59.4403147Z * [new tag] viable/strict/1760590200 -> viable/strict/1760590200 2025-12-04T08:47:59.4404701Z * [new tag] viable/strict/1760592311 -> viable/strict/1760592311 2025-12-04T08:47:59.4406020Z * [new tag] viable/strict/1760619733 -> viable/strict/1760619733 2025-12-04T08:47:59.4407233Z * [new tag] viable/strict/1760628335 -> viable/strict/1760628335 2025-12-04T08:47:59.4408506Z * [new tag] viable/strict/1760635490 -> viable/strict/1760635490 2025-12-04T08:47:59.4409868Z * [new tag] viable/strict/1760640743 -> viable/strict/1760640743 2025-12-04T08:47:59.4411216Z * [new tag] viable/strict/1760642528 -> viable/strict/1760642528 2025-12-04T08:47:59.4412579Z * [new tag] viable/strict/1760646330 -> viable/strict/1760646330 2025-12-04T08:47:59.4413875Z * [new tag] viable/strict/1760666101 -> viable/strict/1760666101 2025-12-04T08:47:59.4415238Z * [new tag] viable/strict/1760668990 -> viable/strict/1760668990 2025-12-04T08:47:59.4416589Z * [new tag] viable/strict/1760670600 -> viable/strict/1760670600 2025-12-04T08:47:59.4417923Z * [new tag] viable/strict/1760671704 -> viable/strict/1760671704 2025-12-04T08:47:59.4419297Z * [new tag] viable/strict/1760673121 -> viable/strict/1760673121 2025-12-04T08:47:59.4420680Z * [new tag] viable/strict/1760675352 -> viable/strict/1760675352 2025-12-04T08:47:59.4422065Z * [new tag] viable/strict/1760696731 -> viable/strict/1760696731 2025-12-04T08:47:59.4424979Z * [new tag] viable/strict/1760723515 -> viable/strict/1760723515 2025-12-04T08:47:59.4426254Z * [new tag] viable/strict/1760727234 -> viable/strict/1760727234 2025-12-04T08:47:59.4427642Z * [new tag] viable/strict/1760730578 -> viable/strict/1760730578 2025-12-04T08:47:59.4429018Z * [new tag] viable/strict/1760732726 -> viable/strict/1760732726 2025-12-04T08:47:59.4430406Z * [new tag] viable/strict/1760734180 -> viable/strict/1760734180 2025-12-04T08:47:59.4431736Z * [new tag] viable/strict/1760736251 -> viable/strict/1760736251 2025-12-04T08:47:59.4433201Z * [new tag] viable/strict/1760737772 -> viable/strict/1760737772 2025-12-04T08:47:59.4434469Z * [new tag] viable/strict/1760758005 -> viable/strict/1760758005 2025-12-04T08:47:59.4435772Z * [new tag] viable/strict/1760761532 -> viable/strict/1760761532 2025-12-04T08:47:59.4437128Z * [new tag] viable/strict/1760802581 -> viable/strict/1760802581 2025-12-04T08:47:59.4438416Z * [new tag] viable/strict/1760827772 -> viable/strict/1760827772 2025-12-04T08:47:59.4439793Z * [new tag] viable/strict/1760834524 -> viable/strict/1760834524 2025-12-04T08:47:59.4441236Z * [new tag] viable/strict/1760845009 -> viable/strict/1760845009 2025-12-04T08:47:59.4442602Z * [new tag] viable/strict/1760876836 -> viable/strict/1760876836 2025-12-04T08:47:59.4443936Z * [new tag] viable/strict/1760880329 -> viable/strict/1760880329 2025-12-04T08:47:59.4445215Z * [new tag] viable/strict/1760888987 -> viable/strict/1760888987 2025-12-04T08:47:59.4446567Z * [new tag] viable/strict/1760912664 -> viable/strict/1760912664 2025-12-04T08:47:59.4448308Z * [new tag] viable/strict/1760925321 -> viable/strict/1760925321 2025-12-04T08:47:59.4449750Z * [new tag] viable/strict/1760931488 -> viable/strict/1760931488 2025-12-04T08:47:59.4451073Z * [new tag] viable/strict/1760932693 -> viable/strict/1760932693 2025-12-04T08:47:59.4452473Z * [new tag] viable/strict/1761004184 -> viable/strict/1761004184 2025-12-04T08:47:59.4453825Z * [new tag] viable/strict/1761014748 -> viable/strict/1761014748 2025-12-04T08:47:59.4455109Z * [new tag] viable/strict/1761017491 -> viable/strict/1761017491 2025-12-04T08:47:59.4456464Z * [new tag] viable/strict/1761018806 -> viable/strict/1761018806 2025-12-04T08:47:59.4457961Z * [new tag] viable/strict/1761020754 -> viable/strict/1761020754 2025-12-04T08:47:59.4459284Z * [new tag] viable/strict/1761024303 -> viable/strict/1761024303 2025-12-04T08:47:59.4460658Z * [new tag] viable/strict/1761029582 -> viable/strict/1761029582 2025-12-04T08:47:59.4461953Z * [new tag] viable/strict/1761031535 -> viable/strict/1761031535 2025-12-04T08:47:59.4463298Z * [new tag] viable/strict/1761035196 -> viable/strict/1761035196 2025-12-04T08:47:59.4464716Z * [new tag] viable/strict/1761045825 -> viable/strict/1761045825 2025-12-04T08:47:59.4466101Z * [new tag] viable/strict/1761054796 -> viable/strict/1761054796 2025-12-04T08:47:59.4467441Z * [new tag] viable/strict/1761060314 -> viable/strict/1761060314 2025-12-04T08:47:59.4468802Z * [new tag] viable/strict/1761071198 -> viable/strict/1761071198 2025-12-04T08:47:59.4470193Z * [new tag] viable/strict/1761074628 -> viable/strict/1761074628 2025-12-04T08:47:59.4471528Z * [new tag] viable/strict/1761078351 -> viable/strict/1761078351 2025-12-04T08:47:59.4473057Z * [new tag] viable/strict/1761079822 -> viable/strict/1761079822 2025-12-04T08:47:59.4474271Z * [new tag] viable/strict/1761081873 -> viable/strict/1761081873 2025-12-04T08:47:59.4475618Z * [new tag] viable/strict/1761083392 -> viable/strict/1761083392 2025-12-04T08:47:59.4477020Z * [new tag] viable/strict/1761085465 -> viable/strict/1761085465 2025-12-04T08:47:59.4478401Z * [new tag] viable/strict/1761089099 -> viable/strict/1761089099 2025-12-04T08:47:59.4479718Z * [new tag] viable/strict/1761095535 -> viable/strict/1761095535 2025-12-04T08:47:59.4481004Z * [new tag] viable/strict/1761098119 -> viable/strict/1761098119 2025-12-04T08:47:59.4482898Z * [new tag] viable/strict/1761101330 -> viable/strict/1761101330 2025-12-04T08:47:59.4484194Z * [new tag] viable/strict/1761114425 -> viable/strict/1761114425 2025-12-04T08:47:59.4485500Z * [new tag] viable/strict/1761116036 -> viable/strict/1761116036 2025-12-04T08:47:59.4486849Z * [new tag] viable/strict/1761119379 -> viable/strict/1761119379 2025-12-04T08:47:59.4488205Z * [new tag] viable/strict/1761121601 -> viable/strict/1761121601 2025-12-04T08:47:59.4489583Z * [new tag] viable/strict/1761123234 -> viable/strict/1761123234 2025-12-04T08:47:59.4490840Z * [new tag] viable/strict/1761126621 -> viable/strict/1761126621 2025-12-04T08:47:59.4492161Z * [new tag] viable/strict/1761132259 -> viable/strict/1761132259 2025-12-04T08:47:59.4493744Z * [new tag] viable/strict/1761146746 -> viable/strict/1761146746 2025-12-04T08:47:59.4495146Z * [new tag] viable/strict/1761164752 -> viable/strict/1761164752 2025-12-04T08:47:59.4496488Z * [new tag] viable/strict/1761166198 -> viable/strict/1761166198 2025-12-04T08:47:59.4497871Z * [new tag] viable/strict/1761175424 -> viable/strict/1761175424 2025-12-04T08:47:59.4499236Z * [new tag] viable/strict/1761176983 -> viable/strict/1761176983 2025-12-04T08:47:59.4500824Z * [new tag] viable/strict/1761179891 -> viable/strict/1761179891 2025-12-04T08:47:59.4502504Z * [new tag] viable/strict/1761181930 -> viable/strict/1761181930 2025-12-04T08:47:59.4507565Z * [new tag] viable/strict/1761184516 -> viable/strict/1761184516 2025-12-04T08:47:59.4508979Z * [new tag] viable/strict/1761190179 -> viable/strict/1761190179 2025-12-04T08:47:59.4510370Z * [new tag] viable/strict/1761193558 -> viable/strict/1761193558 2025-12-04T08:47:59.4511659Z * [new tag] viable/strict/1761207990 -> viable/strict/1761207990 2025-12-04T08:47:59.4513061Z * [new tag] viable/strict/1761229539 -> viable/strict/1761229539 2025-12-04T08:47:59.4514626Z * [new tag] viable/strict/1761244031 -> viable/strict/1761244031 2025-12-04T08:47:59.4516015Z * [new tag] viable/strict/1761248986 -> viable/strict/1761248986 2025-12-04T08:47:59.4517391Z * [new tag] viable/strict/1761259791 -> viable/strict/1761259791 2025-12-04T08:47:59.4518665Z * [new tag] viable/strict/1761266139 -> viable/strict/1761266139 2025-12-04T08:47:59.4520074Z * [new tag] viable/strict/1761268316 -> viable/strict/1761268316 2025-12-04T08:47:59.4521399Z * [new tag] viable/strict/1761273805 -> viable/strict/1761273805 2025-12-04T08:47:59.4522731Z * [new tag] viable/strict/1761275261 -> viable/strict/1761275261 2025-12-04T08:47:59.4524107Z * [new tag] viable/strict/1761277913 -> viable/strict/1761277913 2025-12-04T08:47:59.4525543Z * [new tag] viable/strict/1761290701 -> viable/strict/1761290701 2025-12-04T08:47:59.4526999Z * [new tag] viable/strict/1761294396 -> viable/strict/1761294396 2025-12-04T08:47:59.4528292Z * [new tag] viable/strict/1761303047 -> viable/strict/1761303047 2025-12-04T08:47:59.4529664Z * [new tag] viable/strict/1761335388 -> viable/strict/1761335388 2025-12-04T08:47:59.4531028Z * [new tag] viable/strict/1761337551 -> viable/strict/1761337551 2025-12-04T08:47:59.4532376Z * [new tag] viable/strict/1761339007 -> viable/strict/1761339007 2025-12-04T08:47:59.4533708Z * [new tag] viable/strict/1761341050 -> viable/strict/1761341050 2025-12-04T08:47:59.4535184Z * [new tag] viable/strict/1761346188 -> viable/strict/1761346188 2025-12-04T08:47:59.4536634Z * [new tag] viable/strict/1761349792 -> viable/strict/1761349792 2025-12-04T08:47:59.4537966Z * [new tag] viable/strict/1761352620 -> viable/strict/1761352620 2025-12-04T08:47:59.4539360Z * [new tag] viable/strict/1761354730 -> viable/strict/1761354730 2025-12-04T08:47:59.4541181Z * [new tag] viable/strict/1761357298 -> viable/strict/1761357298 2025-12-04T08:47:59.4542623Z * [new tag] viable/strict/1761360201 -> viable/strict/1761360201 2025-12-04T08:47:59.4544043Z * [new tag] viable/strict/1761361753 -> viable/strict/1761361753 2025-12-04T08:47:59.4545395Z * [new tag] viable/strict/1761364351 -> viable/strict/1761364351 2025-12-04T08:47:59.4546720Z * [new tag] viable/strict/1761366338 -> viable/strict/1761366338 2025-12-04T08:47:59.4548210Z * [new tag] viable/strict/1761367802 -> viable/strict/1761367802 2025-12-04T08:47:59.4549558Z * [new tag] viable/strict/1761369889 -> viable/strict/1761369889 2025-12-04T08:47:59.4550910Z * [new tag] viable/strict/1761371385 -> viable/strict/1761371385 2025-12-04T08:47:59.4552267Z * [new tag] viable/strict/1761373581 -> viable/strict/1761373581 2025-12-04T08:47:59.4553763Z * [new tag] viable/strict/1761375054 -> viable/strict/1761375054 2025-12-04T08:47:59.4555177Z * [new tag] viable/strict/1761421785 -> viable/strict/1761421785 2025-12-04T08:47:59.4556614Z * [new tag] viable/strict/1761434614 -> viable/strict/1761434614 2025-12-04T08:47:59.4558244Z * [new tag] viable/strict/1761439254 -> viable/strict/1761439254 2025-12-04T08:47:59.4559707Z * [new tag] viable/strict/1761454187 -> viable/strict/1761454187 2025-12-04T08:47:59.4561149Z * [new tag] viable/strict/1761459991 -> viable/strict/1761459991 2025-12-04T08:47:59.4562711Z * [new tag] viable/strict/1761470668 -> viable/strict/1761470668 2025-12-04T08:47:59.4564540Z * [new tag] viable/strict/1761472188 -> viable/strict/1761472188 2025-12-04T08:47:59.4565912Z * [new tag] viable/strict/1761503178 -> viable/strict/1761503178 2025-12-04T08:47:59.4567253Z * [new tag] viable/strict/1761517492 -> viable/strict/1761517492 2025-12-04T08:47:59.4568612Z * [new tag] viable/strict/1761518981 -> viable/strict/1761518981 2025-12-04T08:47:59.4570074Z * [new tag] viable/strict/1761533609 -> viable/strict/1761533609 2025-12-04T08:47:59.4571276Z * [new tag] viable/strict/1761546438 -> viable/strict/1761546438 2025-12-04T08:47:59.4572899Z * [new tag] viable/strict/1761548133 -> viable/strict/1761548133 2025-12-04T08:47:59.4574487Z * [new tag] viable/strict/1761555186 -> viable/strict/1761555186 2025-12-04T08:47:59.4575841Z * [new tag] viable/strict/1761557178 -> viable/strict/1761557178 2025-12-04T08:47:59.4577147Z * [new tag] viable/strict/1761560772 -> viable/strict/1761560772 2025-12-04T08:47:59.4578448Z * [new tag] viable/strict/1761562266 -> viable/strict/1761562266 2025-12-04T08:47:59.4579806Z * [new tag] viable/strict/1761564260 -> viable/strict/1761564260 2025-12-04T08:47:59.4581086Z * [new tag] viable/strict/1761568072 -> viable/strict/1761568072 2025-12-04T08:47:59.4582389Z * [new tag] viable/strict/1761571683 -> viable/strict/1761571683 2025-12-04T08:47:59.4583828Z * [new tag] viable/strict/1761580199 -> viable/strict/1761580199 2025-12-04T08:47:59.4585182Z * [new tag] viable/strict/1761587383 -> viable/strict/1761587383 2025-12-04T08:47:59.4586774Z * [new tag] viable/strict/1761591165 -> viable/strict/1761591165 2025-12-04T08:47:59.4588174Z * [new tag] viable/strict/1761594575 -> viable/strict/1761594575 2025-12-04T08:47:59.4589489Z * [new tag] viable/strict/1761596710 -> viable/strict/1761596710 2025-12-04T08:47:59.4590856Z * [new tag] viable/strict/1761598189 -> viable/strict/1761598189 2025-12-04T08:47:59.4592184Z * [new tag] viable/strict/1761600254 -> viable/strict/1761600254 2025-12-04T08:47:59.4593519Z * [new tag] viable/strict/1761603879 -> viable/strict/1761603879 2025-12-04T08:47:59.4594952Z * [new tag] viable/strict/1761605429 -> viable/strict/1761605429 2025-12-04T08:47:59.4596388Z * [new tag] viable/strict/1761607468 -> viable/strict/1761607468 2025-12-04T08:47:59.4597691Z * [new tag] viable/strict/1761608983 -> viable/strict/1761608983 2025-12-04T08:47:59.4599106Z * [new tag] viable/strict/1761611846 -> viable/strict/1761611846 2025-12-04T08:47:59.4600540Z * [new tag] viable/strict/1761613922 -> viable/strict/1761613922 2025-12-04T08:47:59.4601891Z * [new tag] viable/strict/1761616504 -> viable/strict/1761616504 2025-12-04T08:47:59.4603157Z * [new tag] viable/strict/1761619599 -> viable/strict/1761619599 2025-12-04T08:47:59.4604491Z * [new tag] viable/strict/1761686693 -> viable/strict/1761686693 2025-12-04T08:47:59.4605858Z * [new tag] viable/strict/1761688179 -> viable/strict/1761688179 2025-12-04T08:47:59.4607196Z * [new tag] viable/strict/1761691973 -> viable/strict/1761691973 2025-12-04T08:47:59.4608675Z * [new tag] viable/strict/1761693884 -> viable/strict/1761693884 2025-12-04T08:47:59.4610040Z * [new tag] viable/strict/1761695389 -> viable/strict/1761695389 2025-12-04T08:47:59.4611421Z * [new tag] viable/strict/1761698408 -> viable/strict/1761698408 2025-12-04T08:47:59.4612745Z * [new tag] viable/strict/1761702931 -> viable/strict/1761702931 2025-12-04T08:47:59.4614086Z * [new tag] viable/strict/1761706307 -> viable/strict/1761706307 2025-12-04T08:47:59.4615453Z * [new tag] viable/strict/1761709065 -> viable/strict/1761709065 2025-12-04T08:47:59.4616912Z * [new tag] viable/strict/1761710285 -> viable/strict/1761710285 2025-12-04T08:47:59.4618298Z * [new tag] viable/strict/1761711983 -> viable/strict/1761711983 2025-12-04T08:47:59.4619799Z * [new tag] viable/strict/1761713514 -> viable/strict/1761713514 2025-12-04T08:47:59.4621312Z * [new tag] viable/strict/1761715523 -> viable/strict/1761715523 2025-12-04T08:47:59.4622705Z * [new tag] viable/strict/1761727973 -> viable/strict/1761727973 2025-12-04T08:47:59.4624131Z * [new tag] viable/strict/1761751558 -> viable/strict/1761751558 2025-12-04T08:47:59.4625535Z * [new tag] viable/strict/1761755187 -> viable/strict/1761755187 2025-12-04T08:47:59.4626953Z * [new tag] viable/strict/1761756826 -> viable/strict/1761756826 2025-12-04T08:47:59.4628340Z * [new tag] viable/strict/1761769551 -> viable/strict/1761769551 2025-12-04T08:47:59.4629826Z * [new tag] viable/strict/1761771032 -> viable/strict/1761771032 2025-12-04T08:47:59.4631483Z * [new tag] viable/strict/1761773101 -> viable/strict/1761773101 2025-12-04T08:47:59.4632965Z * [new tag] viable/strict/1761781792 -> viable/strict/1761781792 2025-12-04T08:47:59.4634398Z * [new tag] viable/strict/1761784788 -> viable/strict/1761784788 2025-12-04T08:47:59.4635760Z * [new tag] viable/strict/1761786740 -> viable/strict/1761786740 2025-12-04T08:47:59.4637297Z * [new tag] viable/strict/1761789332 -> viable/strict/1761789332 2025-12-04T08:47:59.4639071Z * [new tag] viable/strict/1761792569 -> viable/strict/1761792569 2025-12-04T08:47:59.4640426Z * [new tag] viable/strict/1761795289 -> viable/strict/1761795289 2025-12-04T08:47:59.4641797Z * [new tag] viable/strict/1761798345 -> viable/strict/1761798345 2025-12-04T08:47:59.4643206Z * [new tag] viable/strict/1761799827 -> viable/strict/1761799827 2025-12-04T08:47:59.4647143Z * [new tag] viable/strict/1761805604 -> viable/strict/1761805604 2025-12-04T08:47:59.4647687Z * [new tag] viable/strict/1761807202 -> viable/strict/1761807202 2025-12-04T08:47:59.4648511Z * [new tag] viable/strict/1761809094 -> viable/strict/1761809094 2025-12-04T08:47:59.4649319Z * [new tag] viable/strict/1761810576 -> viable/strict/1761810576 2025-12-04T08:47:59.4651083Z * [new tag] viable/strict/1761812771 -> viable/strict/1761812771 2025-12-04T08:47:59.4652421Z * [new tag] viable/strict/1761814363 -> viable/strict/1761814363 2025-12-04T08:47:59.4653803Z * [new tag] viable/strict/1761857410 -> viable/strict/1761857410 2025-12-04T08:47:59.4655180Z * [new tag] viable/strict/1761860985 -> viable/strict/1761860985 2025-12-04T08:47:59.4656597Z * [new tag] viable/strict/1761863094 -> viable/strict/1761863094 2025-12-04T08:47:59.4657917Z * [new tag] viable/strict/1761864590 -> viable/strict/1761864590 2025-12-04T08:47:59.4659368Z * [new tag] viable/strict/1761866675 -> viable/strict/1761866675 2025-12-04T08:47:59.4666479Z * [new tag] viable/strict/1761868178 -> viable/strict/1761868178 2025-12-04T08:47:59.4666960Z * [new tag] viable/strict/1761871111 -> viable/strict/1761871111 2025-12-04T08:47:59.4667188Z * [new tag] viable/strict/1761873126 -> viable/strict/1761873126 2025-12-04T08:47:59.4667403Z * [new tag] viable/strict/1761875714 -> viable/strict/1761875714 2025-12-04T08:47:59.4667607Z * [new tag] viable/strict/1761878924 -> viable/strict/1761878924 2025-12-04T08:47:59.4668157Z * [new tag] viable/strict/1761881727 -> viable/strict/1761881727 2025-12-04T08:47:59.4669742Z * [new tag] viable/strict/1761882959 -> viable/strict/1761882959 2025-12-04T08:47:59.4671095Z * [new tag] viable/strict/1761886268 -> viable/strict/1761886268 2025-12-04T08:47:59.4672494Z * [new tag] viable/strict/1761893641 -> viable/strict/1761893641 2025-12-04T08:47:59.4673885Z * [new tag] viable/strict/1761931517 -> viable/strict/1761931517 2025-12-04T08:47:59.4675297Z * [new tag] viable/strict/1761933080 -> viable/strict/1761933080 2025-12-04T08:47:59.4676703Z * [new tag] viable/strict/1761935217 -> viable/strict/1761935217 2025-12-04T08:47:59.4678120Z * [new tag] viable/strict/1761938533 -> viable/strict/1761938533 2025-12-04T08:47:59.4679675Z * [new tag] viable/strict/1761940184 -> viable/strict/1761940184 2025-12-04T08:47:59.4681036Z * [new tag] viable/strict/1761942338 -> viable/strict/1761942338 2025-12-04T08:47:59.4682404Z * [new tag] viable/strict/1761946100 -> viable/strict/1761946100 2025-12-04T08:47:59.4683771Z * [new tag] viable/strict/1761947374 -> viable/strict/1761947374 2025-12-04T08:47:59.4685200Z * [new tag] viable/strict/1761950978 -> viable/strict/1761950978 2025-12-04T08:47:59.4686534Z * [new tag] viable/strict/1761957727 -> viable/strict/1761957727 2025-12-04T08:47:59.4687875Z * [new tag] viable/strict/1761959532 -> viable/strict/1761959532 2025-12-04T08:47:59.4689371Z * [new tag] viable/strict/1761965366 -> viable/strict/1761965366 2025-12-04T08:47:59.4690872Z * [new tag] viable/strict/1761968066 -> viable/strict/1761968066 2025-12-04T08:47:59.4692240Z * [new tag] viable/strict/1761969322 -> viable/strict/1761969322 2025-12-04T08:47:59.4693600Z * [new tag] viable/strict/1761974723 -> viable/strict/1761974723 2025-12-04T08:47:59.4695057Z * [new tag] viable/strict/1761981837 -> viable/strict/1761981837 2025-12-04T08:47:59.4696535Z * [new tag] viable/strict/1761985546 -> viable/strict/1761985546 2025-12-04T08:47:59.4697919Z * [new tag] viable/strict/1761987030 -> viable/strict/1761987030 2025-12-04T08:47:59.4699388Z * [new tag] viable/strict/1762003554 -> viable/strict/1762003554 2025-12-04T08:47:59.4700830Z * [new tag] viable/strict/1762021560 -> viable/strict/1762021560 2025-12-04T08:47:59.4702750Z * [new tag] viable/strict/1762032190 -> viable/strict/1762032190 2025-12-04T08:47:59.4703908Z * [new tag] viable/strict/1762040981 -> viable/strict/1762040981 2025-12-04T08:47:59.4704955Z * [new tag] viable/strict/1762048525 -> viable/strict/1762048525 2025-12-04T08:47:59.4706064Z * [new tag] viable/strict/1762104223 -> viable/strict/1762104223 2025-12-04T08:47:59.4707097Z * [new tag] viable/strict/1762105778 -> viable/strict/1762105778 2025-12-04T08:47:59.4708141Z * [new tag] viable/strict/1762115109 -> viable/strict/1762115109 2025-12-04T08:47:59.4709057Z * [new tag] viable/strict/1762125840 -> viable/strict/1762125840 2025-12-04T08:47:59.4710117Z * [new tag] viable/strict/1762127377 -> viable/strict/1762127377 2025-12-04T08:47:59.4711572Z * [new tag] viable/strict/1762134925 -> viable/strict/1762134925 2025-12-04T08:47:59.4712354Z * [new tag] viable/strict/1762138338 -> viable/strict/1762138338 2025-12-04T08:47:59.4713603Z * [new tag] viable/strict/1762148993 -> viable/strict/1762148993 2025-12-04T08:47:59.4714734Z * [new tag] viable/strict/1762152871 -> viable/strict/1762152871 2025-12-04T08:47:59.4715807Z * [new tag] viable/strict/1762156183 -> viable/strict/1762156183 2025-12-04T08:47:59.4716834Z * [new tag] viable/strict/1762163457 -> viable/strict/1762163457 2025-12-04T08:47:59.4717951Z * [new tag] viable/strict/1762165569 -> viable/strict/1762165569 2025-12-04T08:47:59.4719423Z * [new tag] viable/strict/1762169035 -> viable/strict/1762169035 2025-12-04T08:47:59.4720577Z * [new tag] viable/strict/1762174936 -> viable/strict/1762174936 2025-12-04T08:47:59.4721654Z * [new tag] viable/strict/1762194412 -> viable/strict/1762194412 2025-12-04T08:47:59.4722682Z * [new tag] viable/strict/1762195876 -> viable/strict/1762195876 2025-12-04T08:47:59.4723791Z * [new tag] viable/strict/1762197788 -> viable/strict/1762197788 2025-12-04T08:47:59.4724884Z * [new tag] viable/strict/1762199389 -> viable/strict/1762199389 2025-12-04T08:47:59.4726199Z * [new tag] viable/strict/1762206585 -> viable/strict/1762206585 2025-12-04T08:47:59.4727396Z * [new tag] viable/strict/1762210184 -> viable/strict/1762210184 2025-12-04T08:47:59.4728214Z * [new tag] viable/strict/1762218736 -> viable/strict/1762218736 2025-12-04T08:47:59.4729438Z * [new tag] viable/strict/1762224529 -> viable/strict/1762224529 2025-12-04T08:47:59.4730559Z * [new tag] viable/strict/1762227253 -> viable/strict/1762227253 2025-12-04T08:47:59.4731345Z * [new tag] viable/strict/1762228515 -> viable/strict/1762228515 2025-12-04T08:47:59.4732823Z * [new tag] viable/strict/1762230349 -> viable/strict/1762230349 2025-12-04T08:47:59.4733616Z * [new tag] viable/strict/1762231859 -> viable/strict/1762231859 2025-12-04T08:47:59.4734831Z * [new tag] viable/strict/1762233925 -> viable/strict/1762233925 2025-12-04T08:47:59.4736018Z * [new tag] viable/strict/1762237630 -> viable/strict/1762237630 2025-12-04T08:47:59.4736825Z * [new tag] viable/strict/1762253522 -> viable/strict/1762253522 2025-12-04T08:47:59.4738245Z * [new tag] viable/strict/1762278588 -> viable/strict/1762278588 2025-12-04T08:47:59.4739388Z * [new tag] viable/strict/1762284203 -> viable/strict/1762284203 2025-12-04T08:47:59.4740529Z * [new tag] viable/strict/1762289446 -> viable/strict/1762289446 2025-12-04T08:47:59.4741633Z * [new tag] viable/strict/1762291515 -> viable/strict/1762291515 2025-12-04T08:47:59.4742666Z * [new tag] viable/strict/1762295100 -> viable/strict/1762295100 2025-12-04T08:47:59.4743457Z * [new tag] viable/strict/1762296590 -> viable/strict/1762296590 2025-12-04T08:47:59.4744558Z * [new tag] viable/strict/1762300179 -> viable/strict/1762300179 2025-12-04T08:47:59.4745314Z * [new tag] viable/strict/1762303207 -> viable/strict/1762303207 2025-12-04T08:47:59.4746588Z * [new tag] viable/strict/1762386584 -> viable/strict/1762386584 2025-12-04T08:47:59.4747674Z * [new tag] viable/strict/1762391537 -> viable/strict/1762391537 2025-12-04T08:47:59.4748459Z * [new tag] viable/strict/1762394119 -> viable/strict/1762394119 2025-12-04T08:47:59.4750013Z * [new tag] viable/strict/1762397437 -> viable/strict/1762397437 2025-12-04T08:47:59.4751095Z * [new tag] viable/strict/1762400256 -> viable/strict/1762400256 2025-12-04T08:47:59.4752136Z * [new tag] viable/strict/1762401469 -> viable/strict/1762401469 2025-12-04T08:47:59.4753243Z * [new tag] viable/strict/1762408195 -> viable/strict/1762408195 2025-12-04T08:47:59.4754392Z * [new tag] viable/strict/1762410411 -> viable/strict/1762410411 2025-12-04T08:47:59.4755575Z * [new tag] viable/strict/1762417613 -> viable/strict/1762417613 2025-12-04T08:47:59.4756655Z * [new tag] viable/strict/1762419198 -> viable/strict/1762419198 2025-12-04T08:47:59.4757753Z * [new tag] viable/strict/1762422656 -> viable/strict/1762422656 2025-12-04T08:47:59.4759275Z * [new tag] viable/strict/1762424746 -> viable/strict/1762424746 2025-12-04T08:47:59.4760432Z * [new tag] viable/strict/1762446386 -> viable/strict/1762446386 2025-12-04T08:47:59.4761517Z * [new tag] viable/strict/1762449912 -> viable/strict/1762449912 2025-12-04T08:47:59.4762617Z * [new tag] viable/strict/1762457031 -> viable/strict/1762457031 2025-12-04T08:47:59.4763710Z * [new tag] viable/strict/1762462441 -> viable/strict/1762462441 2025-12-04T08:47:59.4764790Z * [new tag] viable/strict/1762467909 -> viable/strict/1762467909 2025-12-04T08:47:59.4765892Z * [new tag] viable/strict/1762471493 -> viable/strict/1762471493 2025-12-04T08:47:59.4767015Z * [new tag] viable/strict/1762475990 -> viable/strict/1762475990 2025-12-04T08:47:59.4768228Z * [new tag] viable/strict/1762477933 -> viable/strict/1762477933 2025-12-04T08:47:59.4769252Z * [new tag] viable/strict/1762491053 -> viable/strict/1762491053 2025-12-04T08:47:59.4770369Z * [new tag] viable/strict/1762493118 -> viable/strict/1762493118 2025-12-04T08:47:59.4771441Z * [new tag] viable/strict/1762498442 -> viable/strict/1762498442 2025-12-04T08:47:59.4772621Z * [new tag] viable/strict/1762501778 -> viable/strict/1762501778 2025-12-04T08:47:59.4773672Z * [new tag] viable/strict/1762504001 -> viable/strict/1762504001 2025-12-04T08:47:59.4774850Z * [new tag] viable/strict/1762505583 -> viable/strict/1762505583 2025-12-04T08:47:59.4776019Z * [new tag] viable/strict/1762507523 -> viable/strict/1762507523 2025-12-04T08:47:59.4777127Z * [new tag] viable/strict/1762511140 -> viable/strict/1762511140 2025-12-04T08:47:59.4778350Z * [new tag] viable/strict/1762512632 -> viable/strict/1762512632 2025-12-04T08:47:59.4779509Z * [new tag] viable/strict/1762520467 -> viable/strict/1762520467 2025-12-04T08:47:59.4780620Z * [new tag] viable/strict/1762522016 -> viable/strict/1762522016 2025-12-04T08:47:59.4781691Z * [new tag] viable/strict/1762530591 -> viable/strict/1762530591 2025-12-04T08:47:59.4782771Z * [new tag] viable/strict/1762543405 -> viable/strict/1762543405 2025-12-04T08:47:59.4783600Z * [new tag] viable/strict/1762544998 -> viable/strict/1762544998 2025-12-04T08:47:59.4784766Z * [new tag] viable/strict/1762552182 -> viable/strict/1762552182 2025-12-04T08:47:59.4785845Z * [new tag] viable/strict/1762554297 -> viable/strict/1762554297 2025-12-04T08:47:59.4786640Z * [new tag] viable/strict/1762559381 -> viable/strict/1762559381 2025-12-04T08:47:59.4787897Z * [new tag] viable/strict/1762562222 -> viable/strict/1762562222 2025-12-04T08:47:59.4788855Z * [new tag] viable/strict/1762564319 -> viable/strict/1762564319 2025-12-04T08:47:59.4790363Z * [new tag] viable/strict/1762566904 -> viable/strict/1762566904 2025-12-04T08:47:59.4791558Z * [new tag] viable/strict/1762569781 -> viable/strict/1762569781 2025-12-04T08:47:59.4792634Z * [new tag] viable/strict/1762575940 -> viable/strict/1762575940 2025-12-04T08:47:59.4793737Z * [new tag] viable/strict/1762580974 -> viable/strict/1762580974 2025-12-04T08:47:59.4794778Z * [new tag] viable/strict/1762583185 -> viable/strict/1762583185 2025-12-04T08:47:59.4795843Z * [new tag] viable/strict/1762586647 -> viable/strict/1762586647 2025-12-04T08:47:59.4796921Z * [new tag] viable/strict/1762588183 -> viable/strict/1762588183 2025-12-04T08:47:59.4798062Z * [new tag] viable/strict/1762593886 -> viable/strict/1762593886 2025-12-04T08:47:59.4799089Z * [new tag] viable/strict/1762650743 -> viable/strict/1762650743 2025-12-04T08:47:59.4800240Z * [new tag] viable/strict/1762653328 -> viable/strict/1762653328 2025-12-04T08:47:59.4801324Z * [new tag] viable/strict/1762659342 -> viable/strict/1762659342 2025-12-04T08:47:59.4802757Z * [new tag] viable/strict/1762662360 -> viable/strict/1762662360 2025-12-04T08:47:59.4803572Z * [new tag] viable/strict/1762667377 -> viable/strict/1762667377 2025-12-04T08:47:59.4804777Z * [new tag] viable/strict/1762671090 -> viable/strict/1762671090 2025-12-04T08:47:59.4805806Z * [new tag] viable/strict/1762680284 -> viable/strict/1762680284 2025-12-04T08:47:59.4806962Z * [new tag] viable/strict/1762683900 -> viable/strict/1762683900 2025-12-04T08:47:59.4807985Z * [new tag] viable/strict/1762705541 -> viable/strict/1762705541 2025-12-04T08:47:59.4809065Z * [new tag] viable/strict/1762709004 -> viable/strict/1762709004 2025-12-04T08:47:59.4810178Z * [new tag] viable/strict/1762746004 -> viable/strict/1762746004 2025-12-04T08:47:59.4811437Z * [new tag] viable/strict/1762748799 -> viable/strict/1762748799 2025-12-04T08:47:59.4812639Z * [new tag] viable/strict/1762759504 -> viable/strict/1762759504 2025-12-04T08:47:59.4813721Z * [new tag] viable/strict/1762760973 -> viable/strict/1762760973 2025-12-04T08:47:59.4814801Z * [new tag] viable/strict/1762775374 -> viable/strict/1762775374 2025-12-04T08:47:59.4816020Z * [new tag] viable/strict/1762777661 -> viable/strict/1762777661 2025-12-04T08:47:59.4817044Z * [new tag] viable/strict/1762779774 -> viable/strict/1762779774 2025-12-04T08:47:59.4818322Z * [new tag] viable/strict/1762781259 -> viable/strict/1762781259 2025-12-04T08:47:59.4819498Z * [new tag] viable/strict/1762793628 -> viable/strict/1762793628 2025-12-04T08:47:59.4820667Z * [new tag] viable/strict/1762800711 -> viable/strict/1762800711 2025-12-04T08:47:59.4821751Z * [new tag] viable/strict/1762809894 -> viable/strict/1762809894 2025-12-04T08:47:59.4822783Z * [new tag] viable/strict/1762811384 -> viable/strict/1762811384 2025-12-04T08:47:59.4823953Z * [new tag] viable/strict/1762813841 -> viable/strict/1762813841 2025-12-04T08:47:59.4825060Z * [new tag] viable/strict/1762815047 -> viable/strict/1762815047 2025-12-04T08:47:59.4826370Z * [new tag] viable/strict/1762817094 -> viable/strict/1762817094 2025-12-04T08:47:59.4827578Z * [new tag] viable/strict/1762818582 -> viable/strict/1762818582 2025-12-04T08:47:59.4828698Z * [new tag] viable/strict/1762821623 -> viable/strict/1762821623 2025-12-04T08:47:59.4829516Z * [new tag] viable/strict/1762823531 -> viable/strict/1762823531 2025-12-04T08:47:59.4830778Z * [new tag] viable/strict/1762849583 -> viable/strict/1762849583 2025-12-04T08:47:59.4831809Z * [new tag] viable/strict/1762851200 -> viable/strict/1762851200 2025-12-04T08:47:59.4832914Z * [new tag] viable/strict/1762854603 -> viable/strict/1762854603 2025-12-04T08:47:59.4834071Z * [new tag] viable/strict/1762858276 -> viable/strict/1762858276 2025-12-04T08:47:59.4835186Z * [new tag] viable/strict/1762860891 -> viable/strict/1762860891 2025-12-04T08:47:59.4836880Z * [new tag] viable/strict/1762866174 -> viable/strict/1762866174 2025-12-04T08:47:59.4837907Z * [new tag] viable/strict/1762867653 -> viable/strict/1762867653 2025-12-04T08:47:59.4839048Z * [new tag] viable/strict/1762872669 -> viable/strict/1762872669 2025-12-04T08:47:59.4839851Z * [new tag] viable/strict/1762878380 -> viable/strict/1762878380 2025-12-04T08:47:59.4841067Z * [new tag] viable/strict/1762889003 -> viable/strict/1762889003 2025-12-04T08:47:59.4842215Z * [new tag] viable/strict/1762890589 -> viable/strict/1762890589 2025-12-04T08:47:59.4843310Z * [new tag] viable/strict/1762892743 -> viable/strict/1762892743 2025-12-04T08:47:59.4844403Z * [new tag] viable/strict/1762894271 -> viable/strict/1762894271 2025-12-04T08:47:59.4845195Z * [new tag] viable/strict/1762896287 -> viable/strict/1762896287 2025-12-04T08:47:59.4846396Z * [new tag] viable/strict/1762915871 -> viable/strict/1762915871 2025-12-04T08:47:59.4847531Z * [new tag] viable/strict/1762918569 -> viable/strict/1762918569 2025-12-04T08:47:59.4848291Z * [new tag] viable/strict/1762919776 -> viable/strict/1762919776 2025-12-04T08:47:59.4849579Z * [new tag] viable/strict/1762923072 -> viable/strict/1762923072 2025-12-04T08:47:59.4850676Z * [new tag] viable/strict/1762928826 -> viable/strict/1762928826 2025-12-04T08:47:59.4851886Z * [new tag] viable/strict/1762930451 -> viable/strict/1762930451 2025-12-04T08:47:59.4853030Z * [new tag] viable/strict/1762933780 -> viable/strict/1762933780 2025-12-04T08:47:59.4854072Z * [new tag] viable/strict/1762937638 -> viable/strict/1762937638 2025-12-04T08:47:59.4855345Z * [new tag] viable/strict/1762939545 -> viable/strict/1762939545 2025-12-04T08:47:59.4856466Z * [new tag] viable/strict/1762962692 -> viable/strict/1762962692 2025-12-04T08:47:59.4857552Z * [new tag] viable/strict/1762979143 -> viable/strict/1762979143 2025-12-04T08:47:59.4858583Z * [new tag] viable/strict/1762984188 -> viable/strict/1762984188 2025-12-04T08:47:59.4859499Z * [new tag] viable/strict/1762986306 -> viable/strict/1762986306 2025-12-04T08:47:59.4860764Z * [new tag] viable/strict/1762989903 -> viable/strict/1762989903 2025-12-04T08:47:59.4862283Z * [new tag] viable/strict/1762991377 -> viable/strict/1762991377 2025-12-04T08:47:59.4863509Z * [new tag] viable/strict/1762998921 -> viable/strict/1762998921 2025-12-04T08:47:59.4865093Z * [new tag] viable/strict/1763002287 -> viable/strict/1763002287 2025-12-04T08:47:59.4866175Z * [new tag] viable/strict/1763016840 -> viable/strict/1763016840 2025-12-04T08:47:59.4867238Z * [new tag] viable/strict/1763020180 -> viable/strict/1763020180 2025-12-04T08:47:59.4868389Z * [new tag] viable/strict/1763027421 -> viable/strict/1763027421 2025-12-04T08:47:59.4869554Z * [new tag] viable/strict/1763031120 -> viable/strict/1763031120 2025-12-04T08:47:59.4870655Z * [new tag] viable/strict/1763036861 -> viable/strict/1763036861 2025-12-04T08:47:59.4871788Z * [new tag] viable/strict/1763038993 -> viable/strict/1763038993 2025-12-04T08:47:59.4872947Z * [new tag] viable/strict/1763054703 -> viable/strict/1763054703 2025-12-04T08:47:59.4873790Z * [new tag] viable/strict/1763067061 -> viable/strict/1763067061 2025-12-04T08:47:59.4875298Z * [new tag] viable/strict/1763070847 -> viable/strict/1763070847 2025-12-04T08:47:59.4876503Z * [new tag] viable/strict/1763072706 -> viable/strict/1763072706 2025-12-04T08:47:59.4877710Z * [new tag] viable/strict/1763076302 -> viable/strict/1763076302 2025-12-04T08:47:59.4878823Z * [new tag] viable/strict/1763080816 -> viable/strict/1763080816 2025-12-04T08:47:59.4879864Z * [new tag] viable/strict/1763082732 -> viable/strict/1763082732 2025-12-04T08:47:59.4880984Z * [new tag] viable/strict/1763085329 -> viable/strict/1763085329 2025-12-04T08:47:59.4882105Z * [new tag] viable/strict/1763088623 -> viable/strict/1763088623 2025-12-04T08:47:59.4883309Z * [new tag] viable/strict/1763091402 -> viable/strict/1763091402 2025-12-04T08:47:59.4884333Z * [new tag] viable/strict/1763092602 -> viable/strict/1763092602 2025-12-04T08:47:59.4885480Z * [new tag] viable/strict/1763094355 -> viable/strict/1763094355 2025-12-04T08:47:59.4886593Z * [new tag] viable/strict/1763099390 -> viable/strict/1763099390 2025-12-04T08:47:59.4887756Z * [new tag] viable/strict/1763101608 -> viable/strict/1763101608 2025-12-04T08:47:59.4888823Z * [new tag] viable/strict/1763105102 -> viable/strict/1763105102 2025-12-04T08:47:59.4889974Z * [new tag] viable/strict/1763112347 -> viable/strict/1763112347 2025-12-04T08:47:59.4891091Z * [new tag] viable/strict/1763119471 -> viable/strict/1763119471 2025-12-04T08:47:59.4891900Z * [new tag] viable/strict/1763126835 -> viable/strict/1763126835 2025-12-04T08:47:59.4892971Z * [new tag] viable/strict/1763149779 -> viable/strict/1763149779 2025-12-04T08:47:59.4894167Z * [new tag] viable/strict/1763164178 -> viable/strict/1763164178 2025-12-04T08:47:59.4895030Z * [new tag] viable/strict/1763167104 -> viable/strict/1763167104 2025-12-04T08:47:59.4896245Z * [new tag] viable/strict/1763169132 -> viable/strict/1763169132 2025-12-04T08:47:59.4897341Z * [new tag] viable/strict/1763171708 -> viable/strict/1763171708 2025-12-04T08:47:59.4898418Z * [new tag] viable/strict/1763174759 -> viable/strict/1763174759 2025-12-04T08:47:59.4899745Z * [new tag] viable/strict/1763180744 -> viable/strict/1763180744 2025-12-04T08:47:59.4900870Z * [new tag] viable/strict/1763182227 -> viable/strict/1763182227 2025-12-04T08:47:59.4903069Z * [new tag] viable/strict/1763184309 -> viable/strict/1763184309 2025-12-04T08:47:59.4906027Z * [new tag] viable/strict/1763187991 -> viable/strict/1763187991 2025-12-04T08:47:59.4907259Z * [new tag] viable/strict/1763191445 -> viable/strict/1763191445 2025-12-04T08:47:59.4908728Z * [new tag] viable/strict/1763195152 -> viable/strict/1763195152 2025-12-04T08:47:59.4909793Z * [new tag] viable/strict/1763205769 -> viable/strict/1763205769 2025-12-04T08:47:59.4910916Z * [new tag] viable/strict/1763246990 -> viable/strict/1763246990 2025-12-04T08:47:59.4912117Z * [new tag] viable/strict/1763261578 -> viable/strict/1763261578 2025-12-04T08:47:59.4912974Z * [new tag] viable/strict/1763286573 -> viable/strict/1763286573 2025-12-04T08:47:59.4914080Z * [new tag] viable/strict/1763292167 -> viable/strict/1763292167 2025-12-04T08:47:59.4915361Z * [new tag] viable/strict/1763333386 -> viable/strict/1763333386 2025-12-04T08:47:59.4916460Z * [new tag] viable/strict/1763340082 -> viable/strict/1763340082 2025-12-04T08:47:59.4918364Z * [new tag] viable/strict/1763364324 -> viable/strict/1763364324 2025-12-04T08:47:59.4919461Z * [new tag] viable/strict/1763371569 -> viable/strict/1763371569 2025-12-04T08:47:59.4920583Z * [new tag] viable/strict/1763373067 -> viable/strict/1763373067 2025-12-04T08:47:59.4921608Z * [new tag] viable/strict/1763375157 -> viable/strict/1763375157 2025-12-04T08:47:59.4922792Z * [new tag] viable/strict/1763382462 -> viable/strict/1763382462 2025-12-04T08:47:59.4923896Z * [new tag] viable/strict/1763394661 -> viable/strict/1763394661 2025-12-04T08:47:59.4925226Z * [new tag] viable/strict/1763396797 -> viable/strict/1763396797 2025-12-04T08:47:59.4926392Z * [new tag] viable/strict/1763398542 -> viable/strict/1763398542 2025-12-04T08:47:59.4927516Z * [new tag] viable/strict/1763401807 -> viable/strict/1763401807 2025-12-04T08:47:59.4928324Z * [new tag] viable/strict/1763414698 -> viable/strict/1763414698 2025-12-04T08:47:59.4929630Z * [new tag] viable/strict/1763419807 -> viable/strict/1763419807 2025-12-04T08:47:59.4930741Z * [new tag] viable/strict/1763426369 -> viable/strict/1763426369 2025-12-04T08:47:59.4931856Z * [new tag] viable/strict/1763428331 -> viable/strict/1763428331 2025-12-04T08:47:59.4933002Z * [new tag] viable/strict/1763430922 -> viable/strict/1763430922 2025-12-04T08:47:59.4933832Z * [new tag] viable/strict/1763434184 -> viable/strict/1763434184 2025-12-04T08:47:59.4935035Z * [new tag] viable/strict/1763439973 -> viable/strict/1763439973 2025-12-04T08:47:59.4936194Z * [new tag] viable/strict/1763444995 -> viable/strict/1763444995 2025-12-04T08:47:59.4937216Z * [new tag] viable/strict/1763447206 -> viable/strict/1763447206 2025-12-04T08:47:59.4939081Z * [new tag] viable/strict/1763448826 -> viable/strict/1763448826 2025-12-04T08:47:59.4940157Z * [new tag] viable/strict/1763450717 -> viable/strict/1763450717 2025-12-04T08:47:59.4941228Z * [new tag] viable/strict/1763452183 -> viable/strict/1763452183 2025-12-04T08:47:59.4942414Z * [new tag] viable/strict/1763457945 -> viable/strict/1763457945 2025-12-04T08:47:59.4943520Z * [new tag] viable/strict/1763459439 -> viable/strict/1763459439 2025-12-04T08:47:59.4944379Z * [new tag] viable/strict/1763461556 -> viable/strict/1763461556 2025-12-04T08:47:59.4945594Z * [new tag] viable/strict/1763463103 -> viable/strict/1763463103 2025-12-04T08:47:59.4946723Z * [new tag] viable/strict/1763465100 -> viable/strict/1763465100 2025-12-04T08:47:59.4947549Z * [new tag] viable/strict/1763468866 -> viable/strict/1763468866 2025-12-04T08:47:59.4948573Z * [new tag] viable/strict/1763493823 -> viable/strict/1763493823 2025-12-04T08:47:59.4949392Z * [new tag] viable/strict/1763496249 -> viable/strict/1763496249 2025-12-04T08:47:59.4950627Z * [new tag] viable/strict/1763502620 -> viable/strict/1763502620 2025-12-04T08:47:59.4951928Z * [new tag] viable/strict/1763504715 -> viable/strict/1763504715 2025-12-04T08:47:59.4953018Z * [new tag] viable/strict/1763506208 -> viable/strict/1763506208 2025-12-04T08:47:59.4954121Z * [new tag] viable/strict/1763520590 -> viable/strict/1763520590 2025-12-04T08:47:59.4955274Z * [new tag] viable/strict/1763523357 -> viable/strict/1763523357 2025-12-04T08:47:59.4956388Z * [new tag] viable/strict/1763529922 -> viable/strict/1763529922 2025-12-04T08:47:59.4957600Z * [new tag] viable/strict/1763531408 -> viable/strict/1763531408 2025-12-04T08:47:59.4958689Z * [new tag] viable/strict/1763533622 -> viable/strict/1763533622 2025-12-04T08:47:59.4959772Z * [new tag] viable/strict/1763538576 -> viable/strict/1763538576 2025-12-04T08:47:59.4960982Z * [new tag] viable/strict/1763545823 -> viable/strict/1763545823 2025-12-04T08:47:59.4961772Z * [new tag] viable/strict/1763547951 -> viable/strict/1763547951 2025-12-04T08:47:59.4963076Z * [new tag] viable/strict/1763551477 -> viable/strict/1763551477 2025-12-04T08:47:59.4964100Z * [new tag] viable/strict/1763552982 -> viable/strict/1763552982 2025-12-04T08:47:59.4965200Z * [new tag] viable/strict/1763594698 -> viable/strict/1763594698 2025-12-04T08:47:59.4966337Z * [new tag] viable/strict/1763596178 -> viable/strict/1763596178 2025-12-04T08:47:59.4967476Z * [new tag] viable/strict/1763599155 -> viable/strict/1763599155 2025-12-04T08:47:59.4968593Z * [new tag] viable/strict/1763603717 -> viable/strict/1763603717 2025-12-04T08:47:59.4969692Z * [new tag] viable/strict/1763606923 -> viable/strict/1763606923 2025-12-04T08:47:59.4970820Z * [new tag] viable/strict/1763609715 -> viable/strict/1763609715 2025-12-04T08:47:59.4971926Z * [new tag] viable/strict/1763612757 -> viable/strict/1763612757 2025-12-04T08:47:59.4973005Z * [new tag] viable/strict/1763616325 -> viable/strict/1763616325 2025-12-04T08:47:59.4974043Z * [new tag] viable/strict/1763623509 -> viable/strict/1763623509 2025-12-04T08:47:59.4975315Z * [new tag] viable/strict/1763624984 -> viable/strict/1763624984 2025-12-04T08:47:59.4976409Z * [new tag] viable/strict/1763628796 -> viable/strict/1763628796 2025-12-04T08:47:59.4977430Z * [new tag] viable/strict/1763634343 -> viable/strict/1763634343 2025-12-04T08:47:59.4978532Z * [new tag] viable/strict/1763635867 -> viable/strict/1763635867 2025-12-04T08:47:59.4979826Z * [new tag] viable/strict/1763639382 -> viable/strict/1763639382 2025-12-04T08:47:59.4980940Z * [new tag] viable/strict/1763646626 -> viable/strict/1763646626 2025-12-04T08:47:59.4982132Z * [new tag] viable/strict/1763655997 -> viable/strict/1763655997 2025-12-04T08:47:59.4983304Z * [new tag] viable/strict/1763659444 -> viable/strict/1763659444 2025-12-04T08:47:59.4984366Z * [new tag] viable/strict/1763660992 -> viable/strict/1763660992 2025-12-04T08:47:59.4985378Z * [new tag] viable/strict/1763663201 -> viable/strict/1763663201 2025-12-04T08:47:59.4986543Z * [new tag] viable/strict/1763670362 -> viable/strict/1763670362 2025-12-04T08:47:59.4987590Z * [new tag] viable/strict/1763675378 -> viable/strict/1763675378 2025-12-04T08:47:59.4988653Z * [new tag] viable/strict/1763693343 -> viable/strict/1763693343 2025-12-04T08:47:59.4989675Z * [new tag] viable/strict/1763696088 -> viable/strict/1763696088 2025-12-04T08:47:59.4990958Z * [new tag] viable/strict/1763697343 -> viable/strict/1763697343 2025-12-04T08:47:59.4992057Z * [new tag] viable/strict/1763699165 -> viable/strict/1763699165 2025-12-04T08:47:59.4993126Z * [new tag] viable/strict/1763700660 -> viable/strict/1763700660 2025-12-04T08:47:59.4994281Z * [new tag] viable/strict/1763704209 -> viable/strict/1763704209 2025-12-04T08:47:59.4995303Z * [new tag] viable/strict/1763706411 -> viable/strict/1763706411 2025-12-04T08:47:59.4996373Z * [new tag] viable/strict/1763708082 -> viable/strict/1763708082 2025-12-04T08:47:59.4997232Z * [new tag] viable/strict/1763711381 -> viable/strict/1763711381 2025-12-04T08:47:59.4998403Z * [new tag] viable/strict/1763713593 -> viable/strict/1763713593 2025-12-04T08:47:59.4999509Z * [new tag] viable/strict/1763715201 -> viable/strict/1763715201 2025-12-04T08:47:59.5000543Z * [new tag] viable/strict/1763733017 -> viable/strict/1763733017 2025-12-04T08:47:59.5001948Z * [new tag] viable/strict/1763735108 -> viable/strict/1763735108 2025-12-04T08:47:59.5003058Z * [new tag] viable/strict/1763749579 -> viable/strict/1763749579 2025-12-04T08:47:59.5004134Z * [new tag] viable/strict/1763751113 -> viable/strict/1763751113 2025-12-04T08:47:59.5005258Z * [new tag] viable/strict/1763753035 -> viable/strict/1763753035 2025-12-04T08:47:59.5006285Z * [new tag] viable/strict/1763754578 -> viable/strict/1763754578 2025-12-04T08:47:59.5007474Z * [new tag] viable/strict/1763756748 -> viable/strict/1763756748 2025-12-04T08:47:59.5008504Z * [new tag] viable/strict/1763758205 -> viable/strict/1763758205 2025-12-04T08:47:59.5009908Z * [new tag] viable/strict/1763764050 -> viable/strict/1763764050 2025-12-04T08:47:59.5010978Z * [new tag] viable/strict/1763771887 -> viable/strict/1763771887 2025-12-04T08:47:59.5012187Z * [new tag] viable/strict/1763773920 -> viable/strict/1763773920 2025-12-04T08:47:59.5013230Z * [new tag] viable/strict/1763776501 -> viable/strict/1763776501 2025-12-04T08:47:59.5014258Z * [new tag] viable/strict/1763779437 -> viable/strict/1763779437 2025-12-04T08:47:59.5015625Z * [new tag] viable/strict/1763781038 -> viable/strict/1763781038 2025-12-04T08:47:59.5016383Z * [new tag] viable/strict/1763782245 -> viable/strict/1763782245 2025-12-04T08:47:59.5017632Z * [new tag] viable/strict/1763785568 -> viable/strict/1763785568 2025-12-04T08:47:59.5018972Z * [new tag] viable/strict/1763787006 -> viable/strict/1763787006 2025-12-04T08:47:59.5020028Z * [new tag] viable/strict/1763789103 -> viable/strict/1763789103 2025-12-04T08:47:59.5021152Z * [new tag] viable/strict/1763790578 -> viable/strict/1763790578 2025-12-04T08:47:59.5022181Z * [new tag] viable/strict/1763796275 -> viable/strict/1763796275 2025-12-04T08:47:59.5023692Z * [new tag] viable/strict/1763801465 -> viable/strict/1763801465 2025-12-04T08:47:59.5024729Z * [new tag] viable/strict/1763803522 -> viable/strict/1763803522 2025-12-04T08:47:59.5025801Z * [new tag] viable/strict/1763808581 -> viable/strict/1763808581 2025-12-04T08:47:59.5026891Z * [new tag] viable/strict/1763840977 -> viable/strict/1763840977 2025-12-04T08:47:59.5027918Z * [new tag] viable/strict/1763846659 -> viable/strict/1763846659 2025-12-04T08:47:59.5029021Z * [new tag] viable/strict/1763872065 -> viable/strict/1763872065 2025-12-04T08:47:59.5030159Z * [new tag] viable/strict/1763873648 -> viable/strict/1763873648 2025-12-04T08:47:59.5031267Z * [new tag] viable/strict/1763875506 -> viable/strict/1763875506 2025-12-04T08:47:59.5032040Z * [new tag] viable/strict/1763889904 -> viable/strict/1763889904 2025-12-04T08:47:59.5033299Z * [new tag] viable/strict/1763930999 -> viable/strict/1763930999 2025-12-04T08:47:59.5034432Z * [new tag] viable/strict/1763944964 -> viable/strict/1763944964 2025-12-04T08:47:59.5035195Z * [new tag] viable/strict/1763958474 -> viable/strict/1763958474 2025-12-04T08:47:59.5036422Z * [new tag] viable/strict/1763967263 -> viable/strict/1763967263 2025-12-04T08:47:59.5037428Z * [new tag] viable/strict/1763972803 -> viable/strict/1763972803 2025-12-04T08:47:59.5038547Z * [new tag] viable/strict/1763976376 -> viable/strict/1763976376 2025-12-04T08:47:59.5039636Z * [new tag] viable/strict/1763989404 -> viable/strict/1763989404 2025-12-04T08:47:59.5040657Z * [new tag] viable/strict/1763990887 -> viable/strict/1763990887 2025-12-04T08:47:59.5041822Z * [new tag] viable/strict/1764019919 -> viable/strict/1764019919 2025-12-04T08:47:59.5042939Z * [new tag] viable/strict/1764023134 -> viable/strict/1764023134 2025-12-04T08:47:59.5043758Z * [new tag] viable/strict/1764024593 -> viable/strict/1764024593 2025-12-04T08:47:59.5044938Z * [new tag] viable/strict/1764026706 -> viable/strict/1764026706 2025-12-04T08:47:59.5046287Z * [new tag] viable/strict/1764031139 -> viable/strict/1764031139 2025-12-04T08:47:59.5047313Z * [new tag] viable/strict/1764033131 -> viable/strict/1764033131 2025-12-04T08:47:59.5048353Z * [new tag] viable/strict/1764035725 -> viable/strict/1764035725 2025-12-04T08:47:59.5049122Z * [new tag] viable/strict/1764624265 -> viable/strict/1764624265 2025-12-04T08:47:59.5050143Z * [new tag] viable/strict/1764631514 -> viable/strict/1764631514 2025-12-04T08:47:59.5050924Z * [new tag] viable/strict/1764632987 -> viable/strict/1764632987 2025-12-04T08:47:59.5051947Z * [new tag] viable/strict/1764636063 -> viable/strict/1764636063 2025-12-04T08:47:59.5052697Z * [new tag] viable/strict/1764643975 -> viable/strict/1764643975 2025-12-04T08:47:59.5053730Z * [new tag] viable/strict/1764646859 -> viable/strict/1764646859 2025-12-04T08:47:59.5054512Z * [new tag] viable/strict/1764653120 -> viable/strict/1764653120 2025-12-04T08:47:59.5055542Z * [new tag] viable/strict/1764654632 -> viable/strict/1764654632 2025-12-04T08:47:59.5056470Z * [new tag] viable/strict/1764656821 -> viable/strict/1764656821 2025-12-04T08:47:59.5057322Z * [new tag] viable/strict/1764658557 -> viable/strict/1764658557 2025-12-04T08:47:59.5058350Z * [new tag] viable/strict/1764660333 -> viable/strict/1764660333 2025-12-04T08:47:59.5059182Z * [new tag] viable/strict/1764661812 -> viable/strict/1764661812 2025-12-04T08:47:59.5060292Z * [new tag] viable/strict/1764664023 -> viable/strict/1764664023 2025-12-04T08:47:59.5061016Z * [new tag] viable/strict/1764669150 -> viable/strict/1764669150 2025-12-04T08:47:59.5062048Z * [new tag] viable/strict/1764680709 -> viable/strict/1764680709 2025-12-04T08:47:59.5062847Z * [new tag] viable/strict/1764687619 -> viable/strict/1764687619 2025-12-04T08:47:59.5063878Z * [new tag] viable/strict/1764696355 -> viable/strict/1764696355 2025-12-04T08:47:59.5064630Z * [new tag] viable/strict/1764701767 -> viable/strict/1764701767 2025-12-04T08:47:59.5065653Z * [new tag] viable/strict/1764710768 -> viable/strict/1764710768 2025-12-04T08:47:59.5066475Z * [new tag] viable/strict/1764716202 -> viable/strict/1764716202 2025-12-04T08:47:59.5067335Z * [new tag] viable/strict/1764793566 -> viable/strict/1764793566 2025-12-04T08:47:59.5068364Z * [new tag] viable/strict/1764797093 -> viable/strict/1764797093 2025-12-04T08:47:59.5069147Z * [new tag] viable/strict/1764800729 -> viable/strict/1764800729 2025-12-04T08:47:59.5070379Z * [new tag] whc_flight_1 -> whc_flight_1 2025-12-04T08:47:59.5071444Z * [new tag] whc_flight_2 -> whc_flight_2 2025-12-04T08:47:59.5072734Z * [new tag] whc_flight_4 -> whc_flight_4 2025-12-04T08:47:59.5852660Z [command]/usr/bin/git rev-parse --verify --quiet ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32^{object} 2025-12-04T08:47:59.5880100Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:47:59.5883744Z ##[endgroup] 2025-12-04T08:47:59.5884032Z ##[group]Determining the checkout info 2025-12-04T08:47:59.5885309Z ##[endgroup] 2025-12-04T08:47:59.5889077Z [command]/usr/bin/git sparse-checkout disable 2025-12-04T08:47:59.5924873Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-12-04T08:47:59.5951633Z ##[group]Checking out the ref 2025-12-04T08:47:59.5955208Z [command]/usr/bin/git checkout --progress --force ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:48:00.6394400Z Updating files: 79% (15915/20121) 2025-12-04T08:48:00.6726338Z Updating files: 80% (16097/20121) 2025-12-04T08:48:00.7021250Z Updating files: 81% (16299/20121) 2025-12-04T08:48:00.7238495Z Updating files: 82% (16500/20121) 2025-12-04T08:48:00.7392136Z Updating files: 83% (16701/20121) 2025-12-04T08:48:00.7533217Z Updating files: 84% (16902/20121) 2025-12-04T08:48:00.7699523Z Updating files: 85% (17103/20121) 2025-12-04T08:48:00.7860667Z Updating files: 86% (17305/20121) 2025-12-04T08:48:00.8007204Z Updating files: 87% (17506/20121) 2025-12-04T08:48:00.8123831Z Updating files: 88% (17707/20121) 2025-12-04T08:48:00.8261947Z Updating files: 89% (17908/20121) 2025-12-04T08:48:00.8442122Z Updating files: 90% (18109/20121) 2025-12-04T08:48:00.8559182Z Updating files: 91% (18311/20121) 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You can look around, make experimental 2025-12-04T08:48:01.0396392Z changes and commit them, and you can discard any commits you make in this 2025-12-04T08:48:01.0396982Z state without impacting any branches by switching back to a branch. 2025-12-04T08:48:01.0397354Z 2025-12-04T08:48:01.0397577Z If you want to create a new branch to retain commits you create, you may 2025-12-04T08:48:01.0398130Z do so (now or later) by using -c with the switch command. Example: 2025-12-04T08:48:01.0398443Z 2025-12-04T08:48:01.0398564Z git switch -c 2025-12-04T08:48:01.0398788Z 2025-12-04T08:48:01.0398905Z Or undo this operation with: 2025-12-04T08:48:01.0399111Z 2025-12-04T08:48:01.0399207Z git switch - 2025-12-04T08:48:01.0399358Z 2025-12-04T08:48:01.0399626Z Turn off this advice by setting config variable advice.detachedHead to false 2025-12-04T08:48:01.0399998Z 2025-12-04T08:48:01.0400313Z HEAD is now at ffd9b0fb435 Resolve collective autotuning test failure on arm (#168919) 2025-12-04T08:48:01.0475643Z ##[endgroup] 2025-12-04T08:48:01.0476113Z ##[group]Setting up auth for fetching submodules 2025-12-04T08:48:01.0482356Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-12-04T08:48:01.0536908Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-12-04T08:48:01.0567922Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-12-04T08:48:01.0598118Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-12-04T08:48:01.0626378Z ##[endgroup] 2025-12-04T08:48:01.0626804Z ##[group]Fetching submodules 2025-12-04T08:48:01.0630785Z [command]/usr/bin/git submodule sync --recursive 2025-12-04T08:48:01.0982483Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-12-04T08:48:01.1329647Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-12-04T08:48:01.1331217Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-12-04T08:48:01.1333591Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-12-04T08:48:01.1336346Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-12-04T08:48:01.1339863Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-12-04T08:48:01.1343326Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-12-04T08:48:01.1346111Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-12-04T08:48:01.1349265Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-12-04T08:48:01.1352687Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-12-04T08:48:01.1356307Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-12-04T08:48:01.1359783Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-12-04T08:48:01.1363305Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-12-04T08:48:01.1367326Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-12-04T08:48:01.1370768Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-12-04T08:48:01.1374693Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-12-04T08:48:01.1379988Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-12-04T08:48:01.1385681Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-12-04T08:48:01.1389896Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-12-04T08:48:01.1394386Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-12-04T08:48:01.1398592Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-12-04T08:48:01.1403636Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-12-04T08:48:01.1408137Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-12-04T08:48:01.1412855Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-12-04T08:48:01.1417557Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-12-04T08:48:01.1422627Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-12-04T08:48:01.1427543Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-12-04T08:48:01.1432610Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-12-04T08:48:01.1437627Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-12-04T08:48:01.1443134Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-12-04T08:48:01.1448227Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-12-04T08:48:01.1453722Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-12-04T08:48:01.1459310Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-12-04T08:48:01.1465098Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-12-04T08:48:01.1472220Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-12-04T08:48:01.1478208Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-12-04T08:48:01.1484039Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-12-04T08:48:01.1490143Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-12-04T08:48:01.1530137Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-12-04T08:48:01.4017303Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-12-04T08:48:01.4018883Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-12-04T08:48:01.4020631Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-12-04T08:48:01.4046161Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2025-12-04T08:48:05.0038087Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-12-04T08:48:05.0039431Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-12-04T08:48:05.0042037Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2025-12-04T08:48:05.0043593Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-12-04T08:48:05.0045224Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-12-04T08:48:05.0046762Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-12-04T08:48:05.0048543Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-12-04T08:48:05.0049996Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2025-12-04T08:48:05.0051557Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-12-04T08:48:05.0053168Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-12-04T08:48:05.0054363Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-12-04T08:48:05.0055262Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-12-04T08:48:05.0056375Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-12-04T08:48:05.0057302Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-12-04T08:48:05.0058178Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2025-12-04T08:48:05.0059133Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-12-04T08:48:05.0060477Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-12-04T08:48:05.0066463Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-12-04T08:48:05.0637005Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-12-04T08:48:06.0560517Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-12-04T08:48:06.0562457Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-12-04T08:48:06.1416961Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-12-04T08:48:08.8334356Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-12-04T08:48:08.8336412Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-12-04T08:48:08.8338965Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-12-04T08:48:08.8340798Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-12-04T08:48:08.9335811Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-12-04T08:48:28.6946074Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-12-04T08:48:28.6946961Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-12-04T08:48:28.6948063Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-12-04T08:48:28.6948857Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-12-04T08:48:28.6949622Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-12-04T08:48:28.7123672Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-12-04T08:48:28.7267602Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-12-04T08:48:28.7378461Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-12-04T08:48:28.7655204Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-12-04T08:48:28.8554937Z Submodule path 'third_party/NVTX': checked out '3ebbc93ded7285963bff932c678fa367eb393ba6' 2025-12-04T08:48:28.9171750Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-12-04T08:48:29.7337600Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-12-04T08:48:29.9383761Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-12-04T08:48:29.9408407Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T08:48:29.9441101Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-12-04T08:48:35.0633683Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-12-04T08:48:35.0901008Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-12-04T08:48:35.4706408Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-12-04T08:48:35.5260299Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-12-04T08:48:35.6301980Z Submodule path 'third_party/cpuinfo': checked out 'f858c30bcb16f8effd5ff46996f0514539e17abc' 2025-12-04T08:48:35.6836743Z Submodule path 'third_party/cudnn_frontend': checked out '0b1577c8c83401237d601d0d0db5210506705396' 2025-12-04T08:48:36.3820654Z Submodule path 'third_party/cutlass': checked out 'f88806b1e31dfa579842638740216dd41fc6c588' 2025-12-04T08:48:36.5498148Z Submodule path 'third_party/fbgemm': checked out 'c0b988d39a9e47c794d699f29930ed4d7c7e13a4' 2025-12-04T08:48:36.5523621Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-12-04T08:48:36.5526455Z Submodule 'external/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-12-04T08:48:36.5529273Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-12-04T08:48:36.5532168Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-12-04T08:48:36.5535395Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-12-04T08:48:36.5538591Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-12-04T08:48:36.5541959Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-12-04T08:48:36.5575902Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-12-04T08:48:37.9106073Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-12-04T08:48:37.9107146Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-12-04T08:48:37.9108090Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-12-04T08:48:38.0107137Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-12-04T08:48:41.5987969Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-12-04T08:48:41.6988600Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-12-04T08:48:44.4607770Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-12-04T08:48:44.8428567Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-12-04T08:48:44.9521035Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-12-04T08:48:45.6411086Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '98125ce499b0fdf7ffbe0e3052f5b8709f4840f8' 2025-12-04T08:48:45.6921289Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T08:48:45.7060062Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-12-04T08:48:45.8164012Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-12-04T08:48:45.8930664Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-12-04T08:48:45.8954889Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T08:48:45.8957660Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-12-04T08:48:45.8990225Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-12-04T08:48:50.6855992Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-12-04T08:48:50.9499750Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-12-04T08:48:51.5582656Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-12-04T08:48:51.7107236Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-12-04T08:48:51.7436400Z Submodule path 'third_party/fmt': checked out '407c905e45ad75fc29bf0f9bb7c5c2fd3475976f' 2025-12-04T08:48:51.7883870Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-12-04T08:48:51.8169605Z Submodule path 'third_party/gloo': checked out '54cbae0d3a67fa890b4c3d9ee162b7860315e341' 2025-12-04T08:48:51.8672021Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T08:48:51.8825713Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-12-04T08:48:51.8846197Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-12-04T08:48:51.8876202Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-12-04T08:49:08.5086829Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-12-04T08:49:08.5315423Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-12-04T08:49:08.6265272Z Submodule path 'third_party/kineto': checked out '31f85df8fbd89c188f14ef10f1ec65379786b943' 2025-12-04T08:49:08.6288020Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T08:49:08.6290500Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T08:49:08.6293762Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T08:49:08.6327496Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-12-04T08:49:09.7303247Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-12-04T08:49:10.3045862Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-12-04T08:49:10.4039865Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out 'd2ffe0a4e3acace628db49974246b66fc3e85fb1' 2025-12-04T08:49:10.4060917Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T08:49:10.4063767Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T08:49:10.4066688Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T08:49:10.4069714Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T08:49:10.4073105Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T08:49:10.4076154Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T08:49:10.4080089Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T08:49:10.4083700Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T08:49:10.4087240Z 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' 2025-12-04T08:49:10.4123010Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-12-04T08:49:12.4481688Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-12-04T08:49:12.4482988Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-12-04T08:49:12.4484315Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'... 2025-12-04T08:49:12.4485595Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-12-04T08:49:12.4486813Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-12-04T08:49:12.4488056Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-12-04T08:49:12.4489322Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-12-04T08:49:12.5482608Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-12-04T08:49:19.1416616Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-12-04T08:49:19.1622810Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-12-04T08:49:19.2023873Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-12-04T08:49:19.2179896Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-12-04T08:49:19.2199658Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T08:49:19.2230072Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-12-04T08:49:19.5037393Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-12-04T08:49:19.5247828Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-12-04T08:49:19.5743863Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T08:49:19.6845852Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-12-04T08:49:19.7034953Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 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'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T08:49:41.5057059Z [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" 2025-12-04T08:49:41.5402853Z Entering 'android/libs/fbjni' 2025-12-04T08:49:41.5463935Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-12-04T08:49:41.5482691Z Entering 'third_party/FP16' 2025-12-04T08:49:41.5546150Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-12-04T08:49:41.5565828Z Entering 'third_party/FXdiv' 2025-12-04T08:49:41.5627197Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-12-04T08:49:41.5645917Z Entering 'third_party/NNPACK' 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2025-12-04T08:49:42.6093355Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T08:49:42.6140747Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T08:49:42.6189931Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T08:49:42.6239002Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T08:49:42.6286798Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T08:49:42.6334104Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:49:42.6384320Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:49:42.6434842Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T08:49:42.6506902Z Entering 'third_party/pocketfft' 2025-12-04T08:49:42.6557091Z Entering 'third_party/protobuf' 2025-12-04T08:49:42.6610256Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T08:49:42.6657723Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T08:49:42.6709332Z Entering 'third_party/psimd' 2025-12-04T08:49:42.6760262Z Entering 'third_party/pthreadpool' 2025-12-04T08:49:42.6810712Z Entering 'third_party/pybind11' 2025-12-04T08:49:42.6861112Z Entering 'third_party/python-peachpy' 2025-12-04T08:49:42.6913325Z Entering 'third_party/sleef' 2025-12-04T08:49:42.6962747Z Entering 'third_party/tensorpipe' 2025-12-04T08:49:42.7013110Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T08:49:42.7060050Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T08:49:42.7108091Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T08:49:42.7155447Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T08:49:42.7202545Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T08:49:42.7269834Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-12-04T08:49:42.7617519Z Entering 'android/libs/fbjni' 2025-12-04T08:49:42.7667446Z Entering 'third_party/FP16' 2025-12-04T08:49:42.7718979Z Entering 'third_party/FXdiv' 2025-12-04T08:49:42.7770263Z Entering 'third_party/NNPACK' 2025-12-04T08:49:42.7821845Z Entering 'third_party/NVTX' 2025-12-04T08:49:42.7872309Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T08:49:42.7921847Z Entering 'third_party/XNNPACK' 2025-12-04T08:49:42.7986937Z Entering 'third_party/aiter' 2025-12-04T08:49:42.8038838Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T08:49:42.8097393Z Entering 'third_party/benchmark' 2025-12-04T08:49:42.8149180Z Entering 'third_party/composable_kernel' 2025-12-04T08:49:42.8209362Z Entering 'third_party/cpp-httplib' 2025-12-04T08:49:42.8258560Z Entering 'third_party/cpuinfo' 2025-12-04T08:49:42.8310253Z Entering 'third_party/cudnn_frontend' 2025-12-04T08:49:42.8360590Z Entering 'third_party/cutlass' 2025-12-04T08:49:42.8422739Z Entering 'third_party/fbgemm' 2025-12-04T08:49:42.8474933Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T08:49:42.8523476Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T08:49:42.8579886Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T08:49:42.8629902Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T08:49:42.8685706Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T08:49:42.8733789Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T08:49:42.8780986Z Entering 'third_party/fbgemm/external/json' 2025-12-04T08:49:42.8833019Z Entering 'third_party/flash-attention' 2025-12-04T08:49:42.8884349Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T08:49:42.8940949Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T08:49:42.8998858Z Entering 'third_party/flatbuffers' 2025-12-04T08:49:42.9052270Z Entering 'third_party/fmt' 2025-12-04T08:49:42.9104257Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T08:49:42.9153257Z Entering 'third_party/gloo' 2025-12-04T08:49:42.9203862Z Entering 'third_party/googletest' 2025-12-04T08:49:42.9253952Z Entering 'third_party/ideep' 2025-12-04T08:49:42.9302837Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T08:49:42.9359956Z Entering 'third_party/ittapi' 2025-12-04T08:49:42.9411623Z Entering 'third_party/kineto' 2025-12-04T08:49:42.9461330Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T08:49:42.9510850Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T08:49:42.9559886Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T08:49:42.9609552Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T08:49:42.9659600Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T08:49:42.9715607Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T08:49:42.9760002Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T08:49:42.9808702Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T08:49:42.9856774Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T08:49:42.9909478Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T08:49:42.9957854Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T08:49:43.0006766Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:49:43.0057658Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:49:43.0112235Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T08:49:43.0161191Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T08:49:43.0211459Z Entering 'third_party/kleidiai' 2025-12-04T08:49:43.0263016Z Entering 'third_party/mimalloc' 2025-12-04T08:49:43.0314506Z Entering 'third_party/nlohmann' 2025-12-04T08:49:43.0366606Z Entering 'third_party/onnx' 2025-12-04T08:49:43.0436741Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T08:49:43.0488280Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T08:49:43.0540551Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T08:49:43.0588860Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T08:49:43.0638901Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T08:49:43.0686668Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T08:49:43.0737606Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T08:49:43.0783581Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T08:49:43.0831312Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T08:49:43.0877605Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:49:43.0928018Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:49:43.0977828Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T08:49:43.1047917Z Entering 'third_party/pocketfft' 2025-12-04T08:49:43.1097837Z Entering 'third_party/protobuf' 2025-12-04T08:49:43.1150263Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T08:49:43.1199542Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T08:49:43.1251525Z Entering 'third_party/psimd' 2025-12-04T08:49:43.1302522Z Entering 'third_party/pthreadpool' 2025-12-04T08:49:43.1351653Z Entering 'third_party/pybind11' 2025-12-04T08:49:43.1403025Z Entering 'third_party/python-peachpy' 2025-12-04T08:49:43.1453260Z Entering 'third_party/sleef' 2025-12-04T08:49:43.1504311Z Entering 'third_party/tensorpipe' 2025-12-04T08:49:43.1553726Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T08:49:43.1602093Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T08:49:43.1649683Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T08:49:43.1699525Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T08:49:43.1747037Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T08:49:43.1813069Z ##[endgroup] 2025-12-04T08:49:43.1857031Z [command]/usr/bin/git log -1 --format=%H 2025-12-04T08:49:43.1883002Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:49:43.1991516Z ##[group]Run cd "${GITHUB_WORKSPACE}" 2025-12-04T08:49:43.1991905Z cd "${GITHUB_WORKSPACE}" 2025-12-04T08:49:43.1992233Z # Clean stale submodule dirs 2025-12-04T08:49:43.1992605Z if [ -z "${NO_SUDO}" ]; then 2025-12-04T08:49:43.1993035Z  sudo git submodule foreach --recursive git clean -ffdx 2025-12-04T08:49:43.1993446Z else 2025-12-04T08:49:43.1993777Z  git submodule foreach --recursive git clean -ffdx 2025-12-04T08:49:43.1994189Z fi 2025-12-04T08:49:43.2004390Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:49:43.2004819Z env: 2025-12-04T08:49:43.2005213Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:49:43.2005489Z NO_SUDO: true 2025-12-04T08:49:43.2005742Z ##[endgroup] 2025-12-04T08:49:43.2394711Z Entering 'android/libs/fbjni' 2025-12-04T08:49:43.2435894Z Entering 'third_party/FP16' 2025-12-04T08:49:43.2477864Z Entering 'third_party/FXdiv' 2025-12-04T08:49:43.2514931Z Entering 'third_party/NNPACK' 2025-12-04T08:49:43.2555327Z Entering 'third_party/NVTX' 2025-12-04T08:49:43.2598715Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T08:49:43.2637459Z Entering 'third_party/XNNPACK' 2025-12-04T08:49:43.2773597Z Entering 'third_party/aiter' 2025-12-04T08:49:43.2821981Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T08:49:43.2938468Z Entering 'third_party/benchmark' 2025-12-04T08:49:43.2976269Z Entering 'third_party/composable_kernel' 2025-12-04T08:49:43.3103124Z Entering 'third_party/cpp-httplib' 2025-12-04T08:49:43.3142798Z Entering 'third_party/cpuinfo' 2025-12-04T08:49:43.3184983Z Entering 'third_party/cudnn_frontend' 2025-12-04T08:49:43.3225636Z Entering 'third_party/cutlass' 2025-12-04T08:49:43.3335286Z Entering 'third_party/fbgemm' 2025-12-04T08:49:43.3405835Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T08:49:43.3441469Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T08:49:43.3564779Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T08:49:43.3605488Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T08:49:43.3710643Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T08:49:43.3748166Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T08:49:43.3782457Z Entering 'third_party/fbgemm/external/json' 2025-12-04T08:49:43.3834918Z Entering 'third_party/flash-attention' 2025-12-04T08:49:43.3882368Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T08:49:43.3987636Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T08:49:43.4088458Z Entering 'third_party/flatbuffers' 2025-12-04T08:49:43.4166229Z Entering 'third_party/fmt' 2025-12-04T08:49:43.4205458Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T08:49:43.4244056Z Entering 'third_party/gloo' 2025-12-04T08:49:43.4283449Z Entering 'third_party/googletest' 2025-12-04T08:49:43.4323667Z Entering 'third_party/ideep' 2025-12-04T08:49:43.4359266Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T08:49:43.4454315Z Entering 'third_party/ittapi' 2025-12-04T08:49:43.4493328Z Entering 'third_party/kineto' 2025-12-04T08:49:43.4533741Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T08:49:43.4575424Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T08:49:43.4626233Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T08:49:43.4661883Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T08:49:43.4698055Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T08:49:43.4731969Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T08:49:43.4767348Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T08:49:43.4804819Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T08:49:43.4841669Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T08:49:43.4887624Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T08:49:43.4923878Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T08:49:43.4961075Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:49:43.5015309Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:49:43.5057981Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T08:49:43.5095605Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T08:49:43.5135776Z Entering 'third_party/kleidiai' 2025-12-04T08:49:43.5180806Z Entering 'third_party/mimalloc' 2025-12-04T08:49:43.5220027Z Entering 'third_party/nlohmann' 2025-12-04T08:49:43.5270238Z Entering 'third_party/onnx' 2025-12-04T08:49:43.5622450Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T08:49:43.5663816Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T08:49:43.5725743Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T08:49:43.5761841Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T08:49:43.5799656Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T08:49:43.5836128Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T08:49:43.5882839Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T08:49:43.5918880Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T08:49:43.5954354Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T08:49:43.5989684Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:49:43.6041486Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:49:43.6083668Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T08:49:43.6360635Z Entering 'third_party/pocketfft' 2025-12-04T08:49:43.6397528Z Entering 'third_party/protobuf' 2025-12-04T08:49:43.6484282Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T08:49:43.6520527Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T08:49:43.6562818Z Entering 'third_party/psimd' 2025-12-04T08:49:43.6599892Z Entering 'third_party/pthreadpool' 2025-12-04T08:49:43.6635371Z Entering 'third_party/pybind11' 2025-12-04T08:49:43.6675230Z Entering 'third_party/python-peachpy' 2025-12-04T08:49:43.6713622Z Entering 'third_party/sleef' 2025-12-04T08:49:43.6754221Z Entering 'third_party/tensorpipe' 2025-12-04T08:49:43.6794254Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T08:49:43.6832727Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T08:49:43.6868278Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T08:49:43.6909535Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T08:49:43.6944333Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T08:49:43.7120306Z Prepare all required actions 2025-12-04T08:49:43.7120925Z Getting action download info 2025-12-04T08:49:43.8678647Z ##[group]Run ./.github/actions/setup-linux 2025-12-04T08:49:43.8678986Z env: 2025-12-04T08:49:43.8679225Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:49:43.8679511Z ##[endgroup] 2025-12-04T08:49:43.8720373Z ##[group]Run set -euo pipefail 2025-12-04T08:49:43.8720744Z set -euo pipefail 2025-12-04T08:49:43.8721065Z function get_ec2_metadata() { 2025-12-04T08:49:43.8721475Z  # Pulled from instance metadata endpoint for EC2 2025-12-04T08:49:43.8722144Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-12-04T08:49:43.8722748Z  category=$1 2025-12-04T08:49:43.8723134Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-12-04T08:49:43.8723589Z  runner_name_str=i-0e83b23e12799110f 2025-12-04T08:49:43.8724012Z  if [[ -f /.inarc ]]; then 2025-12-04T08:49:43.8724371Z  echo "ARC Runner, no info on ec2 metadata" 2025-12-04T08:49:43.8724803Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-12-04T08:49:43.8725308Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-12-04T08:49:43.8725772Z  else 2025-12-04T08:49:43.8726687Z  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}" 2025-12-04T08:49:43.8727673Z  fi 2025-12-04T08:49:43.8727905Z } 2025-12-04T08:49:43.8728193Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-12-04T08:49:43.8728639Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-12-04T08:49:43.8729150Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-12-04T08:49:43.8729597Z echo "system info $(uname -a)" 2025-12-04T08:49:43.8737646Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:49:43.8738061Z env: 2025-12-04T08:49:43.8738304Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:49:43.8738568Z ##[endgroup] 2025-12-04T08:49:43.8903171Z ami-id: ami-08982f1c5bf93d976 2025-12-04T08:49:43.9020470Z instance-id: i-0e83b23e12799110f 2025-12-04T08:49:43.9130049Z instance-type: c5.4xlarge 2025-12-04T08:49:43.9143297Z system info Linux ip-10-0-58-133.ec2.internal 6.1.150-174.273.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Sep 9 12:21:26 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux 2025-12-04T08:49:43.9165478Z ##[group]Run if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi 2025-12-04T08:49:43.9166021Z if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi 2025-12-04T08:49:43.9172696Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:49:43.9173114Z env: 2025-12-04T08:49:43.9173356Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:49:43.9186616Z ##[endgroup] 2025-12-04T08:49:43.9234013Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:49:43.9235473Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:49:43.9241466Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:49:43.9241885Z env: 2025-12-04T08:49:43.9242126Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:49:43.9242401Z ##[endgroup] 2025-12-04T08:49:43.9406710Z ##[group]Run if systemctl is-active --quiet docker; then 2025-12-04T08:49:43.9407190Z if systemctl is-active --quiet docker; then 2025-12-04T08:49:43.9407615Z  echo "Docker daemon is running..."; 2025-12-04T08:49:43.9407972Z else 2025-12-04T08:49:43.9408345Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-12-04T08:49:43.9408805Z fi 2025-12-04T08:49:43.9414793Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:49:43.9415205Z env: 2025-12-04T08:49:43.9415446Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:49:43.9415736Z ##[endgroup] 2025-12-04T08:49:43.9538846Z Docker daemon is running... 2025-12-04T08:49:43.9579959Z ##[group]Run nick-fields/retry@v3.0.0 2025-12-04T08:49:43.9580287Z with: 2025-12-04T08:49:43.9580520Z shell: bash 2025-12-04T08:49:43.9580773Z timeout_minutes: 5 2025-12-04T08:49:43.9581042Z max_attempts: 3 2025-12-04T08:49:43.9581289Z retry_wait_seconds: 30 2025-12-04T08:49:43.9583801Z command: AWS_ACCOUNT_ID=$(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 2025-12-04T08:49:43.9586303Z polling_interval_seconds: 1 2025-12-04T08:49:43.9586617Z warning_on_retry: true 2025-12-04T08:49:43.9586909Z continue_on_error: false 2025-12-04T08:49:43.9587177Z env: 2025-12-04T08:49:43.9587414Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:49:43.9587715Z AWS_RETRY_MODE: standard 2025-12-04T08:49:43.9587990Z AWS_MAX_ATTEMPTS: 5 2025-12-04T08:49:43.9588270Z AWS_DEFAULT_REGION: us-east-1 2025-12-04T08:49:43.9588567Z ##[endgroup] 2025-12-04T08:49:45.1715707Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T08:49:45.1716388Z Configure a credential helper to remove this warning. See 2025-12-04T08:49:45.1716993Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T08:49:45.1717444Z 2025-12-04T08:49:45.1717540Z Login Succeeded 2025-12-04T08:49:46.0489090Z Command completed after 1 attempt(s). 2025-12-04T08:49:46.0544814Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:49:46.0545395Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:49:46.0545904Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:49:46.0554241Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:49:46.0554661Z env: 2025-12-04T08:49:46.0554913Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:49:46.0555209Z ##[endgroup] 2025-12-04T08:49:46.0645813Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T08:49:46.0646428Z # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T08:49:46.0646903Z # shellcheck disable=SC2046 2025-12-04T08:49:46.0647273Z docker stop $(docker ps -q) || true 2025-12-04T08:49:46.0647654Z # Prune all of the docker images 2025-12-04T08:49:46.0648020Z docker system prune -af 2025-12-04T08:49:46.0654570Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:49:46.0655155Z env: 2025-12-04T08:49:46.0655385Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:49:46.0655672Z ##[endgroup] 2025-12-04T08:49:46.1080743Z "docker stop" requires at least 1 argument. 2025-12-04T08:49:46.1081171Z See 'docker stop --help'. 2025-12-04T08:49:46.1081375Z 2025-12-04T08:49:46.1081550Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-12-04T08:49:46.1081858Z 2025-12-04T08:49:46.1081976Z Stop one or more running containers 2025-12-04T08:49:46.1296445Z Total reclaimed space: 0B 2025-12-04T08:49:46.1612088Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-12-04T08:49:46.1612598Z with: 2025-12-04T08:49:46.1613391Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:49:46.1614289Z use-custom-docker-registry: true 2025-12-04T08:49:46.1614612Z docker-build-dir: .ci/docker 2025-12-04T08:49:46.1629475Z docker-build-script: ./build.sh 2025-12-04T08:49:46.1629919Z working-directory: . 2025-12-04T08:49:46.1630289Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:49:46.1630730Z force-push: false 2025-12-04T08:49:46.1630987Z env: 2025-12-04T08:49:46.1631201Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:49:46.1631477Z ##[endgroup] 2025-12-04T08:49:46.1651870Z ##[group]Run set -ex 2025-12-04T08:49:46.1652193Z set -ex 2025-12-04T08:49:46.1652440Z  2025-12-04T08:49:46.1652931Z # If the docker build directory or the build script doesn't exist, the action will 2025-12-04T08:49:46.1653632Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-12-04T08:49:46.1654243Z # job could then download the pre-built image as usual 2025-12-04T08:49:46.1654988Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-12-04T08:49:46.1655698Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-12-04T08:49:46.1656039Z else 2025-12-04T08:49:46.1656316Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-12-04T08:49:46.1656793Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:49:46.1657219Z  2025-12-04T08:49:46.1657817Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-12-04T08:49:46.1658514Z  exit 0 2025-12-04T08:49:46.1658869Z fi 2025-12-04T08:49:46.1659081Z  2025-12-04T08:49:46.1659443Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-12-04T08:49:46.1660097Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-12-04T08:49:46.1660661Z  # use it as it is, but first let's extract the tag 2025-12-04T08:49:46.1661178Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-12-04T08:49:46.1661739Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:49:46.1662266Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:49:46.1662695Z else 2025-12-04T08:49:46.1662980Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-12-04T08:49:46.1663400Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-12-04T08:49:46.1663828Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-12-04T08:49:46.1664179Z  fi 2025-12-04T08:49:46.1664666Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-12-04T08:49:46.1665326Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:49:46.1666006Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:49:46.1666761Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:49:46.1667392Z fi 2025-12-04T08:49:46.1673685Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:49:46.1674068Z env: 2025-12-04T08:49:46.1674305Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:49:46.1674592Z REPO_NAME: pytorch 2025-12-04T08:49:46.1675509Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:49:46.1676394Z DOCKER_BUILD_DIR: .ci/docker 2025-12-04T08:49:46.1676705Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-12-04T08:49:46.1677113Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:49:46.1677536Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-12-04T08:49:46.1677852Z CUSTOM_TAG_PREFIX: 2025-12-04T08:49:46.1678108Z ##[endgroup] 2025-12-04T08:49:46.1705617Z + [[ -d .ci/docker ]] 2025-12-04T08:49:46.1705918Z + [[ -f .ci/docker/./build.sh ]] 2025-12-04T08:49:46.1706226Z + [[ true == \t\r\u\e ]] 2025-12-04T08:49:46.1706506Z + echo skip=false 2025-12-04T08:49:46.1707957Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-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* ]] 2025-12-04T08:49:46.1713641Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:49:46.1714495Z ++ awk -F '[:,]' '{print $2}' 2025-12-04T08:49:46.1800783Z + DOCKER_TAG=pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:49:46.1801881Z + echo docker-tag=pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:49:46.1803256Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:49:46.1827579Z ##[group]Run set +e 2025-12-04T08:49:46.1827901Z set +e 2025-12-04T08:49:46.1828143Z set -x 2025-12-04T08:49:46.1828374Z  2025-12-04T08:49:46.1828578Z login() { 2025-12-04T08:49:46.1829080Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-12-04T08:49:46.1829626Z } 2025-12-04T08:49:46.1829831Z  2025-12-04T08:49:46.1830041Z retry () { 2025-12-04T08:49:46.1830324Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-12-04T08:49:46.1830650Z } 2025-12-04T08:49:46.1830852Z  2025-12-04T08:49:46.1831086Z retry login "${DOCKER_REGISTRY}" 2025-12-04T08:49:46.1831406Z  2025-12-04T08:49:46.1831622Z START_TIME=$(date +%s) 2025-12-04T08:49:46.1831931Z # Wait up to 120 minutes 2025-12-04T08:49:46.1832308Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-12-04T08:49:46.1832853Z  # Check if image already exists, if it does then skip building it 2025-12-04T08:49:46.1833368Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-12-04T08:49:46.1833764Z  exit 0 2025-12-04T08:49:46.1834019Z  fi 2025-12-04T08:49:46.1834233Z  2025-12-04T08:49:46.1834641Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-12-04T08:49:46.1835367Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-12-04T08:49:46.1836087Z  # latter, it will wait for the Docker images to become available before continuing 2025-12-04T08:49:46.1836637Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-12-04T08:49:46.1837067Z  # It's a Docker build job, let's build the image 2025-12-04T08:49:46.1837441Z  break 2025-12-04T08:49:46.1837678Z  else 2025-12-04T08:49:46.1838210Z  # It's a regular build job, wait for the image to become available 2025-12-04T08:49:46.1838655Z  sleep 300 2025-12-04T08:49:46.1838922Z  fi 2025-12-04T08:49:46.1839141Z done 2025-12-04T08:49:46.1839375Z  2025-12-04T08:49:46.1839760Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-12-04T08:49:46.1840368Z # be empty. The default action would be to continue rebuild the image 2025-12-04T08:49:46.1841024Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-12-04T08:49:46.1841521Z  # if we're on the base branch then use the parent commit 2025-12-04T08:49:46.1841957Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-12-04T08:49:46.1842282Z else 2025-12-04T08:49:46.1842633Z  # otherwise we're on a PR, so use the most recent base commit 2025-12-04T08:49:46.1843151Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-12-04T08:49:46.1843530Z fi 2025-12-04T08:49:46.1843757Z  2025-12-04T08:49:46.1844003Z if [[ -z "${MERGE_BASE}" ]]; then 2025-12-04T08:49:46.1844374Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-12-04T08:49:46.1844729Z  2025-12-04T08:49:46.1845229Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-12-04T08:49:46.1845825Z  exit 0 2025-12-04T08:49:46.1846051Z fi 2025-12-04T08:49:46.1846278Z  2025-12-04T08:49:46.1846602Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-12-04T08:49:46.1847326Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-12-04T08:49:46.1847958Z  exit 1 2025-12-04T08:49:46.1848196Z fi 2025-12-04T08:49:46.1848406Z  2025-12-04T08:49:46.1848789Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-12-04T08:49:46.1849501Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-12-04T08:49:46.1850140Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-12-04T08:49:46.1850861Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-12-04T08:49:46.1851687Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-12-04T08:49:46.1852182Z fi 2025-12-04T08:49:46.1852406Z  2025-12-04T08:49:46.1852667Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-12-04T08:49:46.1858917Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:49:46.1859327Z env: 2025-12-04T08:49:46.1859545Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:49:46.1859841Z DOCKER_BUILD_DIR: .ci/docker 2025-12-04T08:49:46.1860213Z BASE_REVISION: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:49:46.1861156Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:49:46.1862214Z DOCKER_TAG: pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:49:46.1862879Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:49:46.1863293Z DOCKER_PUSH: 2025-12-04T08:49:46.1863522Z ##[endgroup] 2025-12-04T08:49:46.1889758Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:49:46.1890217Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:49:46.1892646Z + aws ecr get-login-password --region us-east-1 2025-12-04T08:49:46.1894169Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:49:46.7414401Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T08:49:46.7415081Z Configure a credential helper to remove this warning. See 2025-12-04T08:49:46.7416004Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T08:49:46.7416426Z 2025-12-04T08:49:46.7416544Z Login Succeeded 2025-12-04T08:49:46.7433473Z ++ date +%s 2025-12-04T08:49:46.7445517Z + START_TIME=1764838186 2025-12-04T08:49:46.7448898Z ++ date +%s 2025-12-04T08:49:46.7460235Z + [[ 1764830986 -lt 1764838186 ]] 2025-12-04T08:49:46.7461389Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:49:47.0022421Z { 2025-12-04T08:49:47.0022811Z "schemaVersion": 2, 2025-12-04T08:49:47.0023443Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-12-04T08:49:47.0023979Z "config": { 2025-12-04T08:49:47.0024347Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-12-04T08:49:47.0024783Z "size": 33413, 2025-12-04T08:49:47.0025519Z "digest": "sha256:69f02fcb9ffc1a94e0c51f7917aedd922212debbe0601e2ef7c572ae8f5526ce" 2025-12-04T08:49:47.0026143Z }, 2025-12-04T08:49:47.0026513Z "layers": [ 2025-12-04T08:49:47.0026922Z { 2025-12-04T08:49:47.0027517Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:49:47.0028155Z "size": 30447951, 2025-12-04T08:49:47.0028805Z "digest": "sha256:63e5bc7682b85ae57a1221210f64d62e7a90b0a30f19af4ca734b8242ae49d63" 2025-12-04T08:49:47.0029513Z }, 2025-12-04T08:49:47.0029727Z { 2025-12-04T08:49:47.0030426Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:49:47.0030871Z "size": 1554, 2025-12-04T08:49:47.0031322Z "digest": "sha256:5a99dbbe8953b98a275ccd76f20c04b5d2387541c0d2dbd278c2e970e2d1a544" 2025-12-04T08:49:47.0031832Z }, 2025-12-04T08:49:47.0032039Z { 2025-12-04T08:49:47.0032370Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:49:47.0032819Z "size": 344035409, 2025-12-04T08:49:47.0033275Z "digest": "sha256:90c4def1b127e89551f53ffc03e3fb690322be91cbbbd9228f0e58b3368ae751" 2025-12-04T08:49:47.0033786Z }, 2025-12-04T08:49:47.0033998Z { 2025-12-04T08:49:47.0034343Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:49:47.0034773Z "size": 787, 2025-12-04T08:49:47.0035208Z "digest": "sha256:a2c983655925cbf16e58fa082f4f2f690da7272cd44bc582f4710e3c9b894894" 2025-12-04T08:49:47.0035713Z }, 2025-12-04T08:49:47.0035905Z { 2025-12-04T08:49:47.0036253Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:49:47.0036704Z "size": 63270271, 2025-12-04T08:49:47.0037145Z "digest": "sha256:bd3db159a6ab51a08c169d6a04b3a3ed18df7cdb4c6074d7671dc718590a5db6" 2025-12-04T08:49:47.0037660Z }, 2025-12-04T08:49:47.0037983Z { 2025-12-04T08:49:47.0038331Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:49:47.0038761Z "size": 703, 2025-12-04T08:49:47.0039204Z "digest": 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"sha256:d9645507175387b884b9b260763486dd37b5395d527737b655ae690a12bbf112" 2025-12-04T08:49:47.0046637Z }, 2025-12-04T08:49:47.0046832Z { 2025-12-04T08:49:47.0047186Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:49:47.0047634Z "size": 4961, 2025-12-04T08:49:47.0048060Z "digest": "sha256:5ff6957a629c92d26e49fd6a55e6987cd79743446486c2b48aae36942f599e2d" 2025-12-04T08:49:47.0048567Z }, 2025-12-04T08:49:47.0048771Z { 2025-12-04T08:49:47.0049106Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:49:47.0049672Z "size": 1756, 2025-12-04T08:49:47.0050107Z "digest": "sha256:7428d586b9d2bcdd2c1967378819eb99c62b9dbb1d8e618234a2ad83f57c3992" 2025-12-04T08:49:47.0050592Z }, 2025-12-04T08:49:47.0050795Z { 2025-12-04T08:49:47.0051135Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:49:47.0051561Z "size": 724, 2025-12-04T08:49:47.0051992Z "digest": "sha256:62f866d38c3ad10a2fd6434521b1485551cce4045c61b5af80cdc631c6800bd0" 2025-12-04T08:49:47.0052489Z }, 2025-12-04T08:49:47.0052695Z { 2025-12-04T08:49:47.0053020Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:49:47.0053457Z "size": 543, 2025-12-04T08:49:47.0053883Z "digest": "sha256:5b976bbaf127910336aca008c80d5639d65820f1c923ab812e38098e200178d3" 2025-12-04T08:49:47.0054368Z }, 2025-12-04T08:49:47.0054569Z { 2025-12-04T08:49:47.0054912Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:49:47.0055348Z "size": 3471336754, 2025-12-04T08:49:47.0055818Z "digest": "sha256:67fdd8a2cae7ccddc016cb6871b9dc2f8ddcd033af94ff1617527fc885fade23" 2025-12-04T08:49:47.0056338Z }, 2025-12-04T08:49:47.0056529Z { 2025-12-04T08:49:47.0056866Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:49:47.0057301Z "size": 32, 2025-12-04T08:49:47.0057717Z "digest": 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"sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:49:47.0165723Z }, 2025-12-04T08:49:47.0165929Z { 2025-12-04T08:49:47.0166267Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:49:47.0166694Z "size": 188, 2025-12-04T08:49:47.0167113Z "digest": "sha256:2aa7833ad57a051b1d201321d48fe55631f450a15fc74abf9986052cd3ac08b0" 2025-12-04T08:49:47.0167616Z }, 2025-12-04T08:49:47.0167819Z { 2025-12-04T08:49:47.0168145Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:49:47.0168584Z "size": 1369, 2025-12-04T08:49:47.0169020Z "digest": "sha256:c7fb1cba105aa996600038a148e22e012f8cfdbe6262a0e4f29b292411a9f28d" 2025-12-04T08:49:47.0169508Z }, 2025-12-04T08:49:47.0169708Z { 2025-12-04T08:49:47.0170047Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:49:47.0170475Z "size": 32, 2025-12-04T08:49:47.0170902Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:49:47.0171415Z }, 2025-12-04T08:49:47.0171608Z { 2025-12-04T08:49:47.0171954Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:49:47.0172405Z "size": 136, 2025-12-04T08:49:47.0172844Z "digest": "sha256:1e2bc289f2f0c931974d1a4e2366c73ed62ff4ae40ecbf606d6e2f99e447697d" 2025-12-04T08:49:47.0173345Z }, 2025-12-04T08:49:47.0173558Z { 2025-12-04T08:49:47.0173905Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:49:47.0174336Z "size": 528, 2025-12-04T08:49:47.0174775Z "digest": "sha256:81b4829c81a352184a4a03157b023d5e920bdee109fb3e4754245eb6050ae80b" 2025-12-04T08:49:47.0175279Z }, 2025-12-04T08:49:47.0175470Z { 2025-12-04T08:49:47.0175822Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:49:47.0176270Z "size": 32, 2025-12-04T08:49:47.0176691Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:49:47.0177200Z }, 2025-12-04T08:49:47.0177404Z { 2025-12-04T08:49:47.0177728Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:49:47.0178174Z "size": 104, 2025-12-04T08:49:47.0178594Z "digest": "sha256:c370919b79531b4f67212be8d40f56a487dbb868a24182a3fc71a32b484497cc" 2025-12-04T08:49:47.0179218Z }, 2025-12-04T08:49:47.0179413Z { 2025-12-04T08:49:47.0179768Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:49:47.0180208Z "size": 435, 2025-12-04T08:49:47.0180633Z "digest": "sha256:a2b6cf5acc8f87e4891d2f2bbb844875b03994c0ac0f0652ac9ccdc18abfca1a" 2025-12-04T08:49:47.0181144Z }, 2025-12-04T08:49:47.0181347Z { 2025-12-04T08:49:47.0181682Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:49:47.0182127Z "size": 32, 2025-12-04T08:49:47.0182560Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:49:47.0183151Z }, 2025-12-04T08:49:47.0183352Z { 2025-12-04T08:49:47.0183692Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:49:47.0184117Z "size": 109, 2025-12-04T08:49:47.0184552Z "digest": "sha256:aae7fb386890d03ea4e3451e6a25a64dc7da2f5a32d44f58c1346c528ee81f7e" 2025-12-04T08:49:47.0185059Z }, 2025-12-04T08:49:47.0185262Z { 2025-12-04T08:49:47.0185659Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:49:47.0186105Z "size": 1897, 2025-12-04T08:49:47.0186542Z "digest": "sha256:405bd83d0433e3995d46a2f4ade2dfccd8059a1776d38a8c585f63c6ebb46a23" 2025-12-04T08:49:47.0187033Z }, 2025-12-04T08:49:47.0187245Z { 2025-12-04T08:49:47.0187591Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:49:47.0188026Z "size": 245555913, 2025-12-04T08:49:47.0188464Z "digest": "sha256:8e062890815855fb121e663c007ce378e2777b3222e870ddea510837173f5047" 2025-12-04T08:49:47.0188961Z }, 2025-12-04T08:49:47.0189147Z { 2025-12-04T08:49:47.0189487Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:49:47.0189925Z "size": 106, 2025-12-04T08:49:47.0190357Z "digest": "sha256:7e536259fa1f5e6dc831578623288bba3ae0e8cdabcdeb31ffce710427bcd74a" 2025-12-04T08:49:47.0190843Z }, 2025-12-04T08:49:47.0191045Z { 2025-12-04T08:49:47.0191381Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:49:47.0191811Z "size": 163, 2025-12-04T08:49:47.0192241Z "digest": "sha256:a50b5c3201628a2e5168dd113072e4ad7910b525ad37a4bad84a3fc8ef0cace8" 2025-12-04T08:49:47.0192740Z }, 2025-12-04T08:49:47.0192929Z { 2025-12-04T08:49:47.0193273Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:49:47.0193716Z "size": 7943, 2025-12-04T08:49:47.0194133Z "digest": "sha256:0b09c1642c91f861ea31ad593fa469d75e087a2699815e107fc46769e34053bf" 2025-12-04T08:49:47.0194634Z }, 2025-12-04T08:49:47.0194834Z { 2025-12-04T08:49:47.0195158Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:49:47.0195597Z "size": 8076, 2025-12-04T08:49:47.0196030Z "digest": "sha256:503ffad700cd5a9a93c9be88bd3f6d4503310901dfc70426bdfdf65387ad6d63" 2025-12-04T08:49:47.0196533Z }, 2025-12-04T08:49:47.0196722Z { 2025-12-04T08:49:47.0197060Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:49:47.0197499Z "size": 304, 2025-12-04T08:49:47.0197922Z "digest": "sha256:dde1ddfc4205843dd27c91352615ecea55171855353ba8f5560ea44cb0fcf96e" 2025-12-04T08:49:47.0198421Z }, 2025-12-04T08:49:47.0198622Z { 2025-12-04T08:49:47.0198948Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:49:47.0199390Z "size": 32, 2025-12-04T08:49:47.0199831Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:49:47.0200321Z }, 2025-12-04T08:49:47.0200523Z { 2025-12-04T08:49:47.0200868Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:49:47.0201295Z "size": 108, 2025-12-04T08:49:47.0202088Z "digest": "sha256:6fff2372e67ace6de2b21466935ee78fac9e9dd0cee42b76358e95bebabd0f28" 2025-12-04T08:49:47.0202607Z }, 2025-12-04T08:49:47.0202810Z { 2025-12-04T08:49:47.0203138Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:49:47.0203583Z "size": 54145663, 2025-12-04T08:49:47.0204047Z "digest": "sha256:c0c4cfd870fe00cba36ec33eb43b009ac6e0992482ec8df5b4db20c340f7b685" 2025-12-04T08:49:47.0204549Z }, 2025-12-04T08:49:47.0204753Z { 2025-12-04T08:49:47.0205101Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:49:47.0205527Z "size": 32, 2025-12-04T08:49:47.0205961Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:49:47.0206467Z } 2025-12-04T08:49:47.0206654Z ] 2025-12-04T08:49:47.0206860Z } 2025-12-04T08:49:47.0207283Z + exit 0 2025-12-04T08:49:47.0236480Z ##[group]Run set -eux 2025-12-04T08:49:47.0236783Z set -eux 2025-12-04T08:49:47.0237228Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-12-04T08:49:47.0238622Z 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 2025-12-04T08:49:47.0247041Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:49:47.0247467Z env: 2025-12-04T08:49:47.0247708Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:49:47.0247973Z ##[endgroup] 2025-12-04T08:49:47.0279843Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-12-04T08:49:47.0280654Z + jq --raw-output .SecretString 2025-12-04T08:49:47.0281958Z + jq -r .docker_hub_readonly_token 2025-12-04T08:49:47.0283258Z + docker login --username pytorchbot --password-stdin 2025-12-04T08:49:47.6608340Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T08:49:47.6609029Z Configure a credential helper to remove this warning. See 2025-12-04T08:49:47.6609659Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T08:49:47.6610200Z 2025-12-04T08:49:47.6611016Z Login Succeeded 2025-12-04T08:49:47.6700241Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-12-04T08:49:47.6700684Z tag=${ECR_DOCKER_IMAGE##*:} 2025-12-04T08:49:47.6701124Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-12-04T08:49:47.6708104Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:49:47.6708521Z env: 2025-12-04T08:49:47.6708760Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:49:47.6709595Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:49:47.6710441Z ##[endgroup] 2025-12-04T08:49:47.6740496Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:49:47.6788951Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-12-04T08:49:47.6789425Z with: 2025-12-04T08:49:47.6790190Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:49:47.6791154Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:49:47.6791575Z env: 2025-12-04T08:49:47.6791798Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:49:47.6792082Z ##[endgroup] 2025-12-04T08:49:47.6808255Z ##[group]Run set -x 2025-12-04T08:49:47.6808564Z set -x 2025-12-04T08:49:47.6808809Z set +e 2025-12-04T08:49:47.6809058Z  2025-12-04T08:49:47.6809304Z login() { 2025-12-04T08:49:47.6809814Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-12-04T08:49:47.6810409Z } 2025-12-04T08:49:47.6810641Z  2025-12-04T08:49:47.6810917Z retry () { 2025-12-04T08:49:47.6811204Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-12-04T08:49:47.6811554Z } 2025-12-04T08:49:47.6811792Z  2025-12-04T08:49:47.6812056Z retry login "${DOCKER_REGISTRY}" 2025-12-04T08:49:47.6812383Z  2025-12-04T08:49:47.6812921Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-12-04T08:49:47.6813650Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-12-04T08:49:47.6814047Z  2025-12-04T08:49:47.6814277Z set -e 2025-12-04T08:49:47.6814647Z # ignore output since only exit code is used for conditional 2025-12-04T08:49:47.6815187Z # only pull docker image if it's not available locally 2025-12-04T08:49:47.6815775Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-12-04T08:49:47.6816524Z  retry docker pull "${DOCKER_IMAGE}" 2025-12-04T08:49:47.6816882Z fi 2025-12-04T08:49:47.6823197Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:49:47.6823616Z env: 2025-12-04T08:49:47.6823855Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:49:47.6824658Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:49:47.6825609Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:49:47.6826033Z ##[endgroup] 2025-12-04T08:49:47.6852872Z + set +e 2025-12-04T08:49:47.6853506Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:49:47.6853975Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:49:47.6856646Z + aws ecr get-login-password --region us-east-1 2025-12-04T08:49:47.6857867Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:49:48.2344756Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T08:49:48.2345455Z Configure a credential helper to remove this warning. See 2025-12-04T08:49:48.2346078Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T08:49:48.2346495Z 2025-12-04T08:49:48.2346598Z Login Succeeded 2025-12-04T08:49:48.2367308Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:49:48.2368286Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-12-04T08:49:48.4559571Z + IMAGE_SIZE=4472.951248168945 2025-12-04T08:49:48.4560033Z + echo 'Compressed size of image in MB: 4472.951248168945' 2025-12-04T08:49:48.4560446Z + set -e 2025-12-04T08:49:48.4561276Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:49:48.4562584Z Compressed size of image in MB: 4472.951248168945 2025-12-04T08:49:48.4699953Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:49:48.4701401Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:49:48.7181150Z pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a: Pulling from pytorch/ci-image 2025-12-04T08:49:48.7182281Z 63e5bc7682b8: Pulling fs layer 2025-12-04T08:49:48.7182698Z 5a99dbbe8953: Pulling fs layer 2025-12-04T08:49:48.7183146Z 90c4def1b127: Pulling fs layer 2025-12-04T08:49:48.7183659Z a2c983655925: Pulling fs layer 2025-12-04T08:49:48.7184164Z bd3db159a6ab: Pulling fs layer 2025-12-04T08:49:48.7185030Z 7a10eaeace60: Pulling fs layer 2025-12-04T08:49:48.7185537Z 1247d3ca9112: Pulling fs layer 2025-12-04T08:49:48.7186051Z 20dc7ae2d07a: Pulling fs layer 2025-12-04T08:49:48.7186625Z d96455071753: Pulling fs layer 2025-12-04T08:49:48.7187078Z 5ff6957a629c: Pulling fs layer 2025-12-04T08:49:48.7187706Z 20dc7ae2d07a: Waiting 2025-12-04T08:49:48.7188116Z 7428d586b9d2: Pulling fs layer 2025-12-04T08:49:48.7188508Z 62f866d38c3a: Pulling fs layer 2025-12-04T08:49:48.7188991Z 5b976bbaf127: Pulling fs layer 2025-12-04T08:49:48.7189354Z 67fdd8a2cae7: Pulling fs layer 2025-12-04T08:49:48.7189770Z 4f4fb700ef54: Pulling fs layer 2025-12-04T08:49:48.7190096Z 4aa62fab1ece: Pulling fs layer 2025-12-04T08:49:48.7190598Z d96455071753: Waiting 2025-12-04T08:49:48.7190989Z a2c983655925: Waiting 2025-12-04T08:49:48.7191435Z f1e2075e5eb2: Pulling fs layer 2025-12-04T08:49:48.7191891Z bd3db159a6ab: Waiting 2025-12-04T08:49:48.7192318Z 67fdd8a2cae7: Waiting 2025-12-04T08:49:48.7192593Z f1a623399314: Pulling fs layer 2025-12-04T08:49:48.7193033Z 4f4fb700ef54: Waiting 2025-12-04T08:49:48.7193646Z 5ff6957a629c: Waiting 2025-12-04T08:49:48.7193932Z 838727984164: Pulling fs layer 2025-12-04T08:49:48.7194406Z 7428d586b9d2: Waiting 2025-12-04T08:49:48.7194786Z 4aa62fab1ece: Waiting 2025-12-04T08:49:48.7195121Z 62f866d38c3a: Waiting 2025-12-04T08:49:48.7195451Z 5b976bbaf127: Waiting 2025-12-04T08:49:48.7195810Z f1e2075e5eb2: Waiting 2025-12-04T08:49:48.7196070Z f1a623399314: Waiting 2025-12-04T08:49:48.7196321Z 1d774143d46c: Pulling fs layer 2025-12-04T08:49:48.7196609Z 838727984164: Waiting 2025-12-04T08:49:48.7196881Z 2c9a7d58a196: Pulling fs layer 2025-12-04T08:49:48.7197168Z a1a0e4546dd0: Pulling fs layer 2025-12-04T08:49:48.7197464Z 4148c341f564: Pulling fs layer 2025-12-04T08:49:48.7197752Z 1247d3ca9112: Waiting 2025-12-04T08:49:48.7198005Z b00a1cd19dae: Pulling fs layer 2025-12-04T08:49:48.7198307Z 2306d6a7c853: Pulling fs layer 2025-12-04T08:49:48.7198598Z b00a1cd19dae: Waiting 2025-12-04T08:49:48.7198840Z 2c9a7d58a196: Waiting 2025-12-04T08:49:48.7199113Z 531e62fd7b48: Pulling fs layer 2025-12-04T08:49:48.7199415Z 342fc23bd590: Pulling fs layer 2025-12-04T08:49:48.7199690Z 4148c341f564: Waiting 2025-12-04T08:49:48.7199953Z a1a0e4546dd0: Waiting 2025-12-04T08:49:48.7200223Z d2de17964c91: Pulling fs layer 2025-12-04T08:49:48.7200516Z ad40056b7301: Pulling fs layer 2025-12-04T08:49:48.7200805Z 531e62fd7b48: Waiting 2025-12-04T08:49:48.7201057Z 342fc23bd590: Waiting 2025-12-04T08:49:48.7201311Z 2306d6a7c853: Waiting 2025-12-04T08:49:48.7201545Z d2de17964c91: Waiting 2025-12-04T08:49:48.7202394Z 56fadbe5a22c: Pulling fs layer 2025-12-04T08:49:48.7202685Z ad40056b7301: Waiting 2025-12-04T08:49:48.7202924Z 56fadbe5a22c: Waiting 2025-12-04T08:49:48.7203191Z 67a68c3643f9: Pulling fs layer 2025-12-04T08:49:48.7203522Z 2f60a5515fca: Pulling fs layer 2025-12-04T08:49:48.7204038Z 1b3a2f08f95e: Pulling fs layer 2025-12-04T08:49:48.7204544Z 67a68c3643f9: Waiting 2025-12-04T08:49:48.7204990Z d65f68344841: Pulling fs layer 2025-12-04T08:49:48.7205884Z bdc64880d54b: Pulling fs layer 2025-12-04T08:49:48.7206419Z 1b3a2f08f95e: Waiting 2025-12-04T08:49:48.7206780Z d65f68344841: Waiting 2025-12-04T08:49:48.7207319Z 2f60a5515fca: Waiting 2025-12-04T08:49:48.7207608Z 0ac9b4cbd8d6: Pulling fs layer 2025-12-04T08:49:48.7207971Z ff4a13fdd487: Pulling fs layer 2025-12-04T08:49:48.7208259Z f6d4514e7906: Pulling fs layer 2025-12-04T08:49:48.7208600Z ff4a13fdd487: Waiting 2025-12-04T08:49:48.7208939Z 7feb58d88ec8: Pulling fs layer 2025-12-04T08:49:48.7209284Z 0ac9b4cbd8d6: Waiting 2025-12-04T08:49:48.7209627Z ae946e83ad80: Pulling fs layer 2025-12-04T08:49:48.7209917Z 7feb58d88ec8: Waiting 2025-12-04T08:49:48.7210171Z bdc64880d54b: Waiting 2025-12-04T08:49:48.7210423Z 7ced24139d75: Pulling fs layer 2025-12-04T08:49:48.7210710Z ae946e83ad80: Waiting 2025-12-04T08:49:48.7210978Z b26641cb8af0: Pulling fs layer 2025-12-04T08:49:48.7211270Z f5ffb9853afd: Pulling fs layer 2025-12-04T08:49:48.7211575Z 85f7f5ab98a2: Pulling fs layer 2025-12-04T08:49:48.7211863Z f5ffb9853afd: Waiting 2025-12-04T08:49:48.7212115Z f6d4514e7906: Waiting 2025-12-04T08:49:48.7212366Z b26641cb8af0: Waiting 2025-12-04T08:49:48.7212621Z 7ced24139d75: Waiting 2025-12-04T08:49:48.7212879Z 61299215b0fb: Pulling fs layer 2025-12-04T08:49:48.7213169Z 85f7f5ab98a2: Waiting 2025-12-04T08:49:48.7213435Z 16b98c683cdf: Pulling fs layer 2025-12-04T08:49:48.7213710Z 61299215b0fb: Waiting 2025-12-04T08:49:48.7213981Z 35c23ac6db6d: Pulling fs layer 2025-12-04T08:49:48.7214271Z 16b98c683cdf: Waiting 2025-12-04T08:49:48.7214513Z 35c23ac6db6d: Waiting 2025-12-04T08:49:48.7214780Z b90b01d6da43: Pulling fs layer 2025-12-04T08:49:48.7215067Z b90b01d6da43: Waiting 2025-12-04T08:49:48.7215323Z 5aca81540cba: Pulling fs layer 2025-12-04T08:49:48.7215625Z c8da94486492: Pulling fs layer 2025-12-04T08:49:48.7215932Z b7e6ff1c204a: Pulling fs layer 2025-12-04T08:49:48.7216230Z 5aca81540cba: Waiting 2025-12-04T08:49:48.7216471Z c8da94486492: Waiting 2025-12-04T08:49:48.7216734Z 2aa7833ad57a: Pulling fs layer 2025-12-04T08:49:48.7217198Z c7fb1cba105a: Pulling fs layer 2025-12-04T08:49:48.7217661Z 1e2bc289f2f0: Pulling fs layer 2025-12-04T08:49:48.7218084Z c7fb1cba105a: Waiting 2025-12-04T08:49:48.7218431Z 81b4829c81a3: Pulling fs layer 2025-12-04T08:49:48.7218703Z 2aa7833ad57a: Waiting 2025-12-04T08:49:48.7219111Z b7e6ff1c204a: Waiting 2025-12-04T08:49:48.7219402Z 1e2bc289f2f0: Waiting 2025-12-04T08:49:48.7219640Z 81b4829c81a3: Waiting 2025-12-04T08:49:48.7219902Z c370919b7953: Pulling fs layer 2025-12-04T08:49:48.7220233Z a2b6cf5acc8f: Pulling fs layer 2025-12-04T08:49:48.7220504Z c370919b7953: Waiting 2025-12-04T08:49:48.7220767Z a2b6cf5acc8f: Waiting 2025-12-04T08:49:48.7221037Z aae7fb386890: Pulling fs layer 2025-12-04T08:49:48.7221323Z 405bd83d0433: Pulling fs layer 2025-12-04T08:49:48.7221625Z 8e0628908158: Pulling fs layer 2025-12-04T08:49:48.7221921Z 7e536259fa1f: Pulling fs layer 2025-12-04T08:49:48.7222212Z aae7fb386890: Waiting 2025-12-04T08:49:48.7222465Z a50b5c320162: Pulling fs layer 2025-12-04T08:49:48.7222759Z 0b09c1642c91: Pulling fs layer 2025-12-04T08:49:48.7223046Z a50b5c320162: Waiting 2025-12-04T08:49:48.7223287Z 7e536259fa1f: Waiting 2025-12-04T08:49:48.7223533Z 8e0628908158: Waiting 2025-12-04T08:49:48.7223800Z 503ffad700cd: Pulling fs layer 2025-12-04T08:49:48.7224073Z 405bd83d0433: Waiting 2025-12-04T08:49:48.7224338Z dde1ddfc4205: Pulling fs layer 2025-12-04T08:49:48.7224626Z 0b09c1642c91: Waiting 2025-12-04T08:49:48.7224883Z 6fff2372e67a: Pulling fs layer 2025-12-04T08:49:48.7225174Z 503ffad700cd: Waiting 2025-12-04T08:49:48.7225453Z dde1ddfc4205: Waiting 2025-12-04T08:49:48.7225712Z c0c4cfd870fe: Pulling fs layer 2025-12-04T08:49:48.7226011Z 6fff2372e67a: Waiting 2025-12-04T08:49:48.7226269Z c0c4cfd870fe: Waiting 2025-12-04T08:49:48.8364344Z 5a99dbbe8953: Verifying Checksum 2025-12-04T08:49:48.8364743Z 5a99dbbe8953: Download complete 2025-12-04T08:49:48.9295600Z a2c983655925: Verifying Checksum 2025-12-04T08:49:48.9296729Z a2c983655925: Download complete 2025-12-04T08:49:49.0871439Z 63e5bc7682b8: Verifying Checksum 2025-12-04T08:49:49.0872418Z 63e5bc7682b8: Download complete 2025-12-04T08:49:49.1587916Z 7a10eaeace60: Verifying Checksum 2025-12-04T08:49:49.1588649Z 7a10eaeace60: Download complete 2025-12-04T08:49:49.2623110Z 1247d3ca9112: Download complete 2025-12-04T08:49:49.3346303Z 20dc7ae2d07a: Verifying Checksum 2025-12-04T08:49:49.3346724Z 20dc7ae2d07a: Download complete 2025-12-04T08:49:49.4252679Z d96455071753: Verifying Checksum 2025-12-04T08:49:49.4253085Z d96455071753: Download complete 2025-12-04T08:49:49.5013516Z 5ff6957a629c: Download complete 2025-12-04T08:49:49.5947190Z 7428d586b9d2: Verifying Checksum 2025-12-04T08:49:49.5947821Z 7428d586b9d2: Download complete 2025-12-04T08:49:49.6339860Z bd3db159a6ab: Verifying Checksum 2025-12-04T08:49:49.6340272Z bd3db159a6ab: Download complete 2025-12-04T08:49:49.6973380Z 62f866d38c3a: Download complete 2025-12-04T08:49:49.7146453Z 5b976bbaf127: Download complete 2025-12-04T08:49:49.7241616Z 4f4fb700ef54: Download complete 2025-12-04T08:49:49.8139414Z 4aa62fab1ece: Download complete 2025-12-04T08:49:49.8896969Z f1e2075e5eb2: Verifying Checksum 2025-12-04T08:49:49.8897373Z f1e2075e5eb2: Download complete 2025-12-04T08:49:49.9752522Z f1a623399314: Verifying Checksum 2025-12-04T08:49:49.9752925Z f1a623399314: Download complete 2025-12-04T08:49:50.0728262Z 838727984164: Verifying Checksum 2025-12-04T08:49:50.0728637Z 838727984164: Download complete 2025-12-04T08:49:50.1113971Z 63e5bc7682b8: Pull complete 2025-12-04T08:49:50.1336526Z 5a99dbbe8953: Pull complete 2025-12-04T08:49:50.1432199Z 1d774143d46c: Verifying Checksum 2025-12-04T08:49:50.1432544Z 1d774143d46c: Download complete 2025-12-04T08:49:50.2319786Z 2c9a7d58a196: Download complete 2025-12-04T08:49:50.3232040Z a1a0e4546dd0: Verifying Checksum 2025-12-04T08:49:50.3232555Z a1a0e4546dd0: Download complete 2025-12-04T08:49:50.4109294Z 4148c341f564: Verifying Checksum 2025-12-04T08:49:50.4109738Z 4148c341f564: Download complete 2025-12-04T08:49:50.5017742Z b00a1cd19dae: Verifying Checksum 2025-12-04T08:49:50.5018242Z b00a1cd19dae: Download complete 2025-12-04T08:49:50.6106458Z 2306d6a7c853: Verifying Checksum 2025-12-04T08:49:50.6107034Z 2306d6a7c853: Download complete 2025-12-04T08:49:50.6996128Z 531e62fd7b48: Verifying Checksum 2025-12-04T08:49:50.6996519Z 531e62fd7b48: Download complete 2025-12-04T08:49:50.8320940Z 342fc23bd590: Verifying Checksum 2025-12-04T08:49:50.8321284Z 342fc23bd590: Download complete 2025-12-04T08:49:52.2221397Z 90c4def1b127: Verifying Checksum 2025-12-04T08:49:52.2221962Z 90c4def1b127: Download complete 2025-12-04T08:49:52.3069252Z ad40056b7301: Verifying Checksum 2025-12-04T08:49:52.3069742Z ad40056b7301: Download complete 2025-12-04T08:49:52.3643166Z 56fadbe5a22c: Verifying Checksum 2025-12-04T08:49:52.3643636Z 56fadbe5a22c: Download complete 2025-12-04T08:49:52.4655808Z 67a68c3643f9: Verifying Checksum 2025-12-04T08:49:52.4656342Z 67a68c3643f9: Download complete 2025-12-04T08:49:52.5493940Z 2f60a5515fca: Download complete 2025-12-04T08:49:52.7864496Z 1b3a2f08f95e: Verifying Checksum 2025-12-04T08:49:52.7865123Z 1b3a2f08f95e: Download complete 2025-12-04T08:49:52.9010134Z d65f68344841: Verifying Checksum 2025-12-04T08:49:52.9010566Z d65f68344841: Download complete 2025-12-04T08:49:52.9572757Z bdc64880d54b: Download complete 2025-12-04T08:49:53.0379545Z 0ac9b4cbd8d6: Verifying Checksum 2025-12-04T08:49:53.0380240Z 0ac9b4cbd8d6: Download complete 2025-12-04T08:49:53.1140025Z ff4a13fdd487: Download complete 2025-12-04T08:49:53.1822603Z f6d4514e7906: Verifying Checksum 2025-12-04T08:49:53.1823099Z f6d4514e7906: Download complete 2025-12-04T08:49:53.2607582Z 7feb58d88ec8: Verifying Checksum 2025-12-04T08:49:53.2608104Z 7feb58d88ec8: Download complete 2025-12-04T08:49:53.3258518Z ae946e83ad80: Download complete 2025-12-04T08:49:53.4102879Z 7ced24139d75: Verifying Checksum 2025-12-04T08:49:53.4103269Z 7ced24139d75: Download complete 2025-12-04T08:49:53.5053473Z b26641cb8af0: Verifying Checksum 2025-12-04T08:49:53.5054037Z b26641cb8af0: Download complete 2025-12-04T08:49:53.5659484Z f5ffb9853afd: Verifying Checksum 2025-12-04T08:49:53.5660068Z f5ffb9853afd: Download complete 2025-12-04T08:49:53.6604908Z 85f7f5ab98a2: Download complete 2025-12-04T08:49:53.7509228Z 61299215b0fb: Verifying Checksum 2025-12-04T08:49:53.7514531Z 61299215b0fb: Download complete 2025-12-04T08:49:53.8130578Z 16b98c683cdf: Download complete 2025-12-04T08:49:53.8984926Z 35c23ac6db6d: Verifying Checksum 2025-12-04T08:49:53.8985442Z 35c23ac6db6d: Download complete 2025-12-04T08:49:53.9781024Z b90b01d6da43: Download complete 2025-12-04T08:49:54.0849858Z 5aca81540cba: Download complete 2025-12-04T08:49:54.1556373Z c8da94486492: Download complete 2025-12-04T08:49:54.2382233Z b7e6ff1c204a: Verifying Checksum 2025-12-04T08:49:54.2382728Z b7e6ff1c204a: Download complete 2025-12-04T08:49:54.3254511Z 2aa7833ad57a: Verifying Checksum 2025-12-04T08:49:54.3255165Z 2aa7833ad57a: Download complete 2025-12-04T08:49:54.4127231Z c7fb1cba105a: Download complete 2025-12-04T08:49:54.5042223Z 1e2bc289f2f0: Verifying Checksum 2025-12-04T08:49:54.5042836Z 1e2bc289f2f0: Download complete 2025-12-04T08:49:54.5755084Z 81b4829c81a3: Verifying Checksum 2025-12-04T08:49:54.5755488Z 81b4829c81a3: Download complete 2025-12-04T08:49:54.6707113Z c370919b7953: Download complete 2025-12-04T08:49:54.7561969Z a2b6cf5acc8f: Download complete 2025-12-04T08:49:54.8483836Z aae7fb386890: Verifying Checksum 2025-12-04T08:49:54.8484315Z aae7fb386890: Download complete 2025-12-04T08:49:54.9213715Z 405bd83d0433: Verifying Checksum 2025-12-04T08:49:54.9214138Z 405bd83d0433: Download complete 2025-12-04T08:49:55.4695015Z d2de17964c91: Verifying Checksum 2025-12-04T08:49:55.4695414Z d2de17964c91: Download complete 2025-12-04T08:49:55.5709928Z 7e536259fa1f: Verifying Checksum 2025-12-04T08:49:55.5710355Z 7e536259fa1f: Download complete 2025-12-04T08:49:55.6621285Z a50b5c320162: Download complete 2025-12-04T08:49:55.7391384Z 0b09c1642c91: Download complete 2025-12-04T08:49:55.8390811Z 503ffad700cd: Download complete 2025-12-04T08:49:55.9281058Z dde1ddfc4205: Verifying Checksum 2025-12-04T08:49:55.9281501Z dde1ddfc4205: Download complete 2025-12-04T08:49:56.0041983Z 6fff2372e67a: Verifying Checksum 2025-12-04T08:49:56.0042615Z 6fff2372e67a: Download complete 2025-12-04T08:49:56.5969470Z c0c4cfd870fe: Verifying Checksum 2025-12-04T08:49:56.5970029Z c0c4cfd870fe: Download complete 2025-12-04T08:49:57.4457633Z 8e0628908158: Verifying Checksum 2025-12-04T08:49:57.4458034Z 8e0628908158: Download complete 2025-12-04T08:50:01.6226605Z 90c4def1b127: Pull complete 2025-12-04T08:50:01.8465780Z a2c983655925: Pull complete 2025-12-04T08:50:03.3989612Z bd3db159a6ab: Pull complete 2025-12-04T08:50:03.6264110Z 7a10eaeace60: Pull complete 2025-12-04T08:50:03.8216276Z 1247d3ca9112: Pull complete 2025-12-04T08:50:04.0335174Z 20dc7ae2d07a: Pull complete 2025-12-04T08:50:04.2423145Z d96455071753: 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2025-12-04T08:51:42.9625293Z 8e0628908158: Pull complete 2025-12-04T08:51:42.9840192Z 7e536259fa1f: Pull complete 2025-12-04T08:51:43.0055402Z a50b5c320162: Pull complete 2025-12-04T08:51:43.0269891Z 0b09c1642c91: Pull complete 2025-12-04T08:51:43.0492526Z 503ffad700cd: Pull complete 2025-12-04T08:51:43.0707456Z dde1ddfc4205: Pull complete 2025-12-04T08:51:43.1139090Z 6fff2372e67a: Pull complete 2025-12-04T08:51:44.8275311Z c0c4cfd870fe: Pull complete 2025-12-04T08:51:44.8489017Z Digest: sha256:44d91ac3fb28148b815d1cceb9cd39141de00f73eeb8e8813204519b10fe3c21 2025-12-04T08:51:44.8518717Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:51:44.8542361Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:51:44.8592815Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:51:44.8593899Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:51:44.8601166Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:51:44.8601947Z env: 2025-12-04T08:51:44.8602191Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:51:44.8602466Z ##[endgroup] 2025-12-04T08:51:44.8783689Z ##[group]Run pytorch/test-infra/.github/actions/setup-nvidia@main 2025-12-04T08:51:44.8784158Z with: 2025-12-04T08:51:44.8784401Z driver-version: 580.82.07 2025-12-04T08:51:44.8784676Z env: 2025-12-04T08:51:44.8784912Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:51:44.8785198Z ##[endgroup] 2025-12-04T08:51:44.8803039Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:51:44.8804058Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:51:44.8811239Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:51:44.8824291Z env: 2025-12-04T08:51:44.8824577Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:51:44.8824882Z ##[endgroup] 2025-12-04T08:51:44.8876838Z ##[group]Run set -euo pipefail 2025-12-04T08:51:44.8877192Z set -euo pipefail 2025-12-04T08:51:44.8877526Z  2025-12-04T08:51:44.8877747Z has_gpu=false 2025-12-04T08:51:44.8878017Z devices="" 2025-12-04T08:51:44.8878267Z  2025-12-04T08:51:44.8878549Z if command -v nvidia-smi >/dev/null 2>&1; then 2025-12-04T08:51:44.8879026Z  if nvidia-smi -L >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T08:51:44.8879447Z  has_gpu=true 2025-12-04T08:51:44.8879763Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T08:51:44.8880099Z  fi 2025-12-04T08:51:44.8880329Z fi 2025-12-04T08:51:44.8880553Z  2025-12-04T08:51:44.8880780Z if [ "$has_gpu" = false ]; then 2025-12-04T08:51:44.8881202Z  if ls /dev/nvidia* >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T08:51:44.8881619Z  has_gpu=true 2025-12-04T08:51:44.8881935Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T08:51:44.8882279Z  fi 2025-12-04T08:51:44.8882509Z fi 2025-12-04T08:51:44.8882735Z  2025-12-04T08:51:44.8883051Z if [ "$has_gpu" = false ] && command -v lspci >/dev/null 2>&1; then 2025-12-04T08:51:44.8883605Z  if lspci | grep -i 'nvidia' >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T08:51:44.8884047Z  has_gpu=true 2025-12-04T08:51:44.8884350Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T08:51:44.8884689Z  fi 2025-12-04T08:51:44.8884918Z fi 2025-12-04T08:51:44.8885125Z  2025-12-04T08:51:44.8885450Z printf 'HAS_NVIDIA=%s\n' "$has_gpu" >> "$GITHUB_OUTPUT" 2025-12-04T08:51:44.8886030Z printf 'DETECTED_DEVICES<> "$GITHUB_OUTPUT" 2025-12-04T08:51:44.8891839Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:51:44.8892233Z env: 2025-12-04T08:51:44.8892467Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:51:44.8892910Z ##[endgroup] 2025-12-04T08:51:44.9162026Z ##[group]Run if [ "${HAS_NVIDIA}" = "true" ]; then 2025-12-04T08:51:44.9162472Z if [ "${HAS_NVIDIA}" = "true" ]; then 2025-12-04T08:51:44.9162895Z  echo "HAS_NVIDIA_GPU=true" >> "${GITHUB_ENV}" 2025-12-04T08:51:44.9163469Z  echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-12-04T08:51:44.9163982Z else 2025-12-04T08:51:44.9164280Z  echo "HAS_NVIDIA_GPU=false" >> "${GITHUB_ENV}" 2025-12-04T08:51:44.9164664Z fi 2025-12-04T08:51:44.9170964Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:51:44.9171366Z env: 2025-12-04T08:51:44.9171610Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:51:44.9171902Z HAS_NVIDIA: false 2025-12-04T08:51:44.9172144Z ##[endgroup] 2025-12-04T08:51:44.9260998Z Prepare all required actions 2025-12-04T08:51:44.9291683Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-12-04T08:51:44.9292069Z with: 2025-12-04T08:51:44.9292700Z github-token: *** 2025-12-04T08:51:44.9292956Z env: 2025-12-04T08:51:44.9293174Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:51:44.9293466Z HAS_NVIDIA_GPU: false 2025-12-04T08:51:44.9293731Z ##[endgroup] 2025-12-04T08:51:44.9308933Z ##[group]Run set -eux 2025-12-04T08:51:44.9309198Z set -eux 2025-12-04T08:51:44.9309673Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-12-04T08:51:44.9315574Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:51:44.9315969Z env: 2025-12-04T08:51:44.9316200Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:51:44.9316492Z HAS_NVIDIA_GPU: false 2025-12-04T08:51:44.9316941Z GITHUB_TOKEN: *** 2025-12-04T08:51:44.9317181Z ##[endgroup] 2025-12-04T08:51:44.9342727Z + python3 .github/scripts/get_workflow_job_id.py 19922814090 i-0e83b23e12799110f 2025-12-04T08:51:46.1382402Z Setting output job-id=57115580578 2025-12-04T08:51:46.1383091Z Setting output job-name=linux-jammy-py3.14-clang12 / test (default, 1, 5, linux.4xlarge, rerun_disabled_tests) 2025-12-04T08:51:46.1513467Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-12-04T08:51:46.1514288Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-12-04T08:51:46.1515338Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-12-04T08:51:46.1516259Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:51:46.1522793Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:51:46.1523219Z env: 2025-12-04T08:51:46.1523465Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:51:46.1523755Z HAS_NVIDIA_GPU: false 2025-12-04T08:51:46.1524030Z JOB_ID: 57115580578 2025-12-04T08:51:46.1524531Z JOB_NAME: linux-jammy-py3.14-clang12 / test (default, 1, 5, linux.4xlarge, rerun_disabled_tests) 2025-12-04T08:51:46.1525124Z WORKFLOW_NAME: pull 2025-12-04T08:51:46.1525450Z WORKFLOW_RUN_ID: 19922814090 2025-12-04T08:51:46.1525748Z MONITOR_LOG_INTERVAL: 5 2025-12-04T08:51:46.1526056Z MONITOR_DATA_COLLECT_INTERVAL: 1 2025-12-04T08:51:46.1526378Z ##[endgroup] 2025-12-04T08:51:46.4548210Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T08:51:46.8323322Z Collecting psutil==5.9.8 2025-12-04T08:51:46.8492227Z 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) 2025-12-04T08:51:46.9229179Z Collecting dataclasses_json==0.6.7 2025-12-04T08:51:46.9268169Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-12-04T08:51:46.9542841Z Collecting nvidia-ml-py==11.525.84 2025-12-04T08:51:46.9579943Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-12-04T08:51:46.9906351Z Collecting typing-inspect<1,>=0.4.0 2025-12-04T08:51:46.9940409Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-12-04T08:51:47.1105217Z Collecting marshmallow<4.0.0,>=3.18.0 2025-12-04T08:51:47.1142464Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-12-04T08:51:47.1720813Z Collecting packaging>=17.0 2025-12-04T08:51:47.1759809Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-12-04T08:51:47.1985237Z Collecting mypy-extensions>=0.3.0 2025-12-04T08:51:47.2022760Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-12-04T08:51:47.2503691Z Collecting typing-extensions>=3.7.4 2025-12-04T08:51:47.2541832Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-12-04T08:51:47.3502815Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json 2025-12-04T08:51:47.6369497Z 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 2025-12-04T08:51:47.8428514Z Prepare all required actions 2025-12-04T08:51:47.8428981Z Getting action download info 2025-12-04T08:51:48.0213132Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-12-04T08:51:48.2636973Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-12-04T08:51:48.5687957Z ##[group]Run ./.github/actions/download-build-artifacts 2025-12-04T08:51:48.5688352Z with: 2025-12-04T08:51:48.5688618Z name: linux-jammy-py3.14-clang12 2025-12-04T08:51:48.5688964Z s3-bucket: gha-artifacts 2025-12-04T08:51:48.5689239Z env: 2025-12-04T08:51:48.5689477Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:51:48.5689773Z HAS_NVIDIA_GPU: false 2025-12-04T08:51:48.5690035Z ##[endgroup] 2025-12-04T08:51:48.5721450Z ##[group]Run seemethere/download-artifact-s3@v4 2025-12-04T08:51:48.5721830Z with: 2025-12-04T08:51:48.5722085Z name: linux-jammy-py3.14-clang12 2025-12-04T08:51:48.5722492Z s3-bucket: gha-artifacts 2025-12-04T08:51:48.5722791Z region: us-east-1 2025-12-04T08:51:48.5723028Z env: 2025-12-04T08:51:48.5723264Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:51:48.5723557Z HAS_NVIDIA_GPU: false 2025-12-04T08:51:48.5723813Z ##[endgroup] 2025-12-04T08:51:49.0776023Z (node:44579) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-12-04T08:51:49.0776582Z 2025-12-04T08:51:49.0776784Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-12-04T08:51:49.0777374Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-12-04T08:51:49.0777985Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-12-04T08:51:49.3625960Z Found 1 objects with prefix pytorch/pytorch/19922814090/linux-jammy-py3.14-clang12/ 2025-12-04T08:51:49.3626810Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-12-04T08:51:53.6353152Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-12-04T08:51:53.6358776Z Artifact download has finished successfully 2025-12-04T08:51:53.6537071Z ##[group]Run unzip -o artifacts.zip 2025-12-04T08:51:53.6537435Z unzip -o artifacts.zip 2025-12-04T08:51:53.6544873Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:51:53.6545286Z env: 2025-12-04T08:51:53.6545510Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:51:53.6545800Z HAS_NVIDIA_GPU: false 2025-12-04T08:51:53.6546067Z ##[endgroup] 2025-12-04T08:51:53.7236097Z Archive: artifacts.zip 2025-12-04T08:51:53.7236753Z creating: dist/ 2025-12-04T08:51:53.7360192Z inflating: dist/.ninja_log 2025-12-04T08:51:55.0131981Z inflating: dist/torch-2.10.0a0+gitffd9b0f-cp314-cp314-linux_x86_64.whl 2025-12-04T08:51:55.0132535Z creating: build/ 2025-12-04T08:51:55.0132837Z creating: 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inflating: build/bin/test_lazy 2025-12-04T08:52:00.9278731Z inflating: build/bin/TCPStoreTest 2025-12-04T08:52:00.9329233Z inflating: build/bin/HashStoreTest 2025-12-04T08:52:00.9394268Z inflating: build/bin/ProcessGroupGlooTest 2025-12-04T08:52:00.9397430Z inflating: build/bin/example_allreduce 2025-12-04T08:52:01.0403675Z inflating: build/bin/test_jit 2025-12-04T08:52:01.0456722Z inflating: build/bin/test_dist_autograd 2025-12-04T08:52:01.0521704Z inflating: build/bin/test_cpp_rpc 2025-12-04T08:52:01.1835444Z inflating: build/bin/test_api 2025-12-04T08:52:01.1837853Z inflating: build/bin/parallel_benchmark 2025-12-04T08:52:01.1842087Z inflating: build/bin/torch_shm_manager 2025-12-04T08:52:01.1842455Z creating: .additional_ci_files/ 2025-12-04T08:52:01.1905255Z inflating: .additional_ci_files/test-times.json 2025-12-04T08:52:01.2133428Z inflating: .additional_ci_files/test-class-times.json 2025-12-04T08:52:01.2162055Z ##[group]Run rm artifacts.zip 2025-12-04T08:52:01.2162425Z rm artifacts.zip 2025-12-04T08:52:01.2169029Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:52:01.2169456Z env: 2025-12-04T08:52:01.2169677Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:52:01.2169968Z HAS_NVIDIA_GPU: false 2025-12-04T08:52:01.2170233Z ##[endgroup] 2025-12-04T08:52:01.2550607Z ##[group]Run df -H 2025-12-04T08:52:01.2550877Z df -H 2025-12-04T08:52:01.2556731Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:52:01.2557145Z env: 2025-12-04T08:52:01.2557364Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:52:01.2557651Z HAS_NVIDIA_GPU: false 2025-12-04T08:52:01.2557915Z ##[endgroup] 2025-12-04T08:52:01.2604214Z Filesystem Size Used Avail Use% Mounted on 2025-12-04T08:52:01.2605061Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-12-04T08:52:01.2605722Z tmpfs 17G 0 17G 0% /dev/shm 2025-12-04T08:52:01.2606402Z tmpfs 6.6G 521k 6.6G 1% /run 2025-12-04T08:52:01.2607046Z /dev/nvme0n1p1 161G 28G 134G 18% / 2025-12-04T08:52:01.2607973Z tmpfs 17G 13k 17G 1% /tmp 2025-12-04T08:52:01.2608632Z /dev/nvme0n1p128 11M 1.4M 9.2M 13% /boot/efi 2025-12-04T08:52:01.2670178Z Prepare all required actions 2025-12-04T08:52:01.2671412Z Getting action download info 2025-12-04T08:52:01.4459860Z ##[group]Run ./.github/actions/download-td-artifacts 2025-12-04T08:52:01.4460521Z with: 2025-12-04T08:52:01.4460873Z env: 2025-12-04T08:52:01.4461234Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:52:01.4461735Z HAS_NVIDIA_GPU: false 2025-12-04T08:52:01.4462195Z ##[endgroup] 2025-12-04T08:52:01.4546096Z ##[group]Run seemethere/download-artifact-s3@v4 2025-12-04T08:52:01.4546731Z with: 2025-12-04T08:52:01.4547056Z name: td_results 2025-12-04T08:52:01.4547463Z s3-bucket: gha-artifacts 2025-12-04T08:52:01.4547928Z region: us-east-1 2025-12-04T08:52:01.4548313Z env: 2025-12-04T08:52:01.4548700Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:52:01.4549175Z HAS_NVIDIA_GPU: false 2025-12-04T08:52:01.4549641Z ##[endgroup] 2025-12-04T08:52:02.2542354Z (node:44600) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-12-04T08:52:02.2543114Z 2025-12-04T08:52:02.2543324Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-12-04T08:52:02.2543915Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-12-04T08:52:02.2544504Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-12-04T08:52:02.3808140Z Found 0 objects with prefix pytorch/pytorch/19922814090/td_results/ 2025-12-04T08:52:02.3814613Z Artifact download has finished successfully 2025-12-04T08:52:02.4011123Z ##[group]Run mkdir -p .additional_ci_files 2025-12-04T08:52:02.4011553Z mkdir -p .additional_ci_files 2025-12-04T08:52:02.4012031Z mv td_results.json .additional_ci_files/td_results.json || true 2025-12-04T08:52:02.4019243Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:52:02.4019692Z env: 2025-12-04T08:52:02.4019942Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:52:02.4020230Z HAS_NVIDIA_GPU: false 2025-12-04T08:52:02.4020504Z ##[endgroup] 2025-12-04T08:52:02.4078251Z mv: cannot stat 'td_results.json': No such file or directory 2025-12-04T08:52:02.4129565Z ##[group]Run .github/scripts/parse_ref.py 2025-12-04T08:52:02.4130003Z .github/scripts/parse_ref.py 2025-12-04T08:52:02.4136005Z shell: /usr/bin/bash -e {0} 2025-12-04T08:52:02.4136313Z env: 2025-12-04T08:52:02.4136556Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:52:02.4136859Z HAS_NVIDIA_GPU: false 2025-12-04T08:52:02.4137124Z ##[endgroup] 2025-12-04T08:52:02.4608520Z Setting output branch=main 2025-12-04T08:52:02.4748445Z Prepare all required actions 2025-12-04T08:52:02.4748914Z Getting action download info 2025-12-04T08:52:02.6304911Z ##[group]Run ./.github/actions/filter-test-configs 2025-12-04T08:52:02.6305292Z with: 2025-12-04T08:52:02.6305738Z github-token: *** 2025-12-04T08:52:02.6311250Z test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "openreg", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}]} 2025-12-04T08:52:02.6317346Z job-name: linux-jammy-py3.14-clang12 / test (default, 1, 5, linux.4xlarge, rerun_disabled_tests) 2025-12-04T08:52:02.6317900Z env: 2025-12-04T08:52:02.6318145Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:52:02.6318439Z HAS_NVIDIA_GPU: false 2025-12-04T08:52:02.6318693Z ##[endgroup] 2025-12-04T08:52:02.6368012Z ##[group]Run nick-fields/retry@v3.0.0 2025-12-04T08:52:02.6368349Z with: 2025-12-04T08:52:02.6368575Z shell: bash 2025-12-04T08:52:02.6368827Z timeout_minutes: 10 2025-12-04T08:52:02.6369110Z max_attempts: 5 2025-12-04T08:52:02.6369358Z retry_wait_seconds: 30 2025-12-04T08:52:02.6370223Z 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 2025-12-04T08:52:02.6371130Z polling_interval_seconds: 1 2025-12-04T08:52:02.6371427Z warning_on_retry: true 2025-12-04T08:52:02.6371715Z continue_on_error: false 2025-12-04T08:52:02.6372002Z env: 2025-12-04T08:52:02.6372226Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:52:02.6372521Z HAS_NVIDIA_GPU: false 2025-12-04T08:52:02.6372998Z GITHUB_TOKEN: *** 2025-12-04T08:52:02.6373258Z ##[endgroup] 2025-12-04T08:52:02.7642068Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-12-04T08:52:03.0161203Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T08:52:03.3414212Z Collecting requests==2.27.1 2025-12-04T08:52:03.3574528Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-12-04T08:52:03.5863518Z Collecting pyyaml==6.0.2 2025-12-04T08:52:03.5903871Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB) 2025-12-04T08:52:03.6885743Z Collecting certifi>=2017.4.17 2025-12-04T08:52:03.6920344Z Downloading certifi-2025.11.12-py3-none-any.whl (159 kB) 2025-12-04T08:52:03.7036617Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-12-04T08:52:04.1090149Z Collecting charset-normalizer~=2.0.0 2025-12-04T08:52:04.1127326Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-12-04T08:52:04.1488247Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-12-04T08:52:04.2359904Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-12-04T08:52:04.4466149Z Successfully installed certifi-2025.11.12 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-12-04T08:52:04.7189978Z Command completed after 1 attempt(s). 2025-12-04T08:52:04.7262427Z ##[group]Run set -x 2025-12-04T08:52:04.7262865Z set -x 2025-12-04T08:52:04.7263261Z  2025-12-04T08:52:04.7263963Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-12-04T08:52:04.7264868Z # in runner workspace 2025-12-04T08:52:04.7265566Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-12-04T08:52:04.7275917Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:52:04.7276656Z env: 2025-12-04T08:52:04.7277080Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:52:04.7277591Z HAS_NVIDIA_GPU: false 2025-12-04T08:52:04.7278062Z ##[endgroup] 2025-12-04T08:52:04.7313078Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-12-04T08:52:04.7507824Z Setting output branch=main 2025-12-04T08:52:04.7611467Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-12-04T08:52:04.7611935Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-12-04T08:52:04.7612317Z echo "Job name: ${JOB_NAME}" 2025-12-04T08:52:04.7612661Z  2025-12-04T08:52:04.7613078Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-12-04T08:52:04.7613607Z # in runner workspace 2025-12-04T08:52:04.7614077Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-12-04T08:52:04.7614598Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-12-04T08:52:04.7614966Z  --job-name "${JOB_NAME}" \ 2025-12-04T08:52:04.7620670Z  --test-matrix "{"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "openreg", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}]}" \ 2025-12-04T08:52:04.7626510Z  --selected-test-configs "" \ 2025-12-04T08:52:04.7626878Z  --pr-number "${PR_NUMBER}" \ 2025-12-04T08:52:04.7627222Z  --tag "${TAG}" \ 2025-12-04T08:52:04.7627531Z  --event-name "${EVENT_NAME}" \ 2025-12-04T08:52:04.7627887Z  --schedule "${SCHEDULE}" \ 2025-12-04T08:52:04.7628231Z  --branch "${HEAD_BRANCH}" 2025-12-04T08:52:04.7634547Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:52:04.7634969Z env: 2025-12-04T08:52:04.7635211Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:52:04.7635511Z HAS_NVIDIA_GPU: false 2025-12-04T08:52:04.7636143Z GITHUB_TOKEN: *** 2025-12-04T08:52:04.7636650Z JOB_NAME: linux-jammy-py3.14-clang12 / test (default, 1, 5, linux.4xlarge, rerun_disabled_tests) 2025-12-04T08:52:04.7637233Z PR_NUMBER: 2025-12-04T08:52:04.7637456Z TAG: 2025-12-04T08:52:04.7637687Z EVENT_NAME: schedule 2025-12-04T08:52:04.7637957Z SCHEDULE: 29 8 * * * 2025-12-04T08:52:04.7638226Z HEAD_BRANCH: main 2025-12-04T08:52:04.7638467Z ##[endgroup] 2025-12-04T08:52:04.7665285Z Workflow: pull 2025-12-04T08:52:04.7665785Z Job name: linux-jammy-py3.14-clang12 / test (default, 1, 5, linux.4xlarge, rerun_disabled_tests) 2025-12-04T08:52:04.9545302Z Setting output keep-going=True 2025-12-04T08:52:04.9545727Z Setting output ci-verbose-test-logs=False 2025-12-04T08:52:04.9546129Z Setting output ci-test-showlocals=False 2025-12-04T08:52:04.9546496Z Setting output ci-no-test-timeout=False 2025-12-04T08:52:04.9546851Z Setting output ci-no-td=False 2025-12-04T08:52:04.9547174Z Setting output ci-td-distributed=False 2025-12-04T08:52:04.9547526Z Setting output is-unstable=False 2025-12-04T08:52:04.9547859Z Setting output reenabled-issues= 2025-12-04T08:52:04.9554151Z Setting output test-matrix={"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "openreg", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}]} 2025-12-04T08:52:04.9560200Z Setting output is-test-matrix-empty=False 2025-12-04T08:52:04.9750805Z ##[group]Run echo "Filtered matrix:" 2025-12-04T08:52:04.9751219Z echo "Filtered matrix:" 2025-12-04T08:52:04.9756827Z echo "{"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "openreg", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}]}" 2025-12-04T08:52:04.9762538Z  2025-12-04T08:52:04.9762750Z echo 2025-12-04T08:52:04.9763052Z echo "Is the current job unstable? False" 2025-12-04T08:52:04.9763421Z  2025-12-04T08:52:04.9763625Z echo 2025-12-04T08:52:04.9763898Z echo "Is keep-going label set? True" 2025-12-04T08:52:04.9764250Z  2025-12-04T08:52:04.9764453Z echo 2025-12-04T08:52:04.9764704Z echo "Reenabled issues? " 2025-12-04T08:52:04.9770958Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:52:04.9771379Z env: 2025-12-04T08:52:04.9771599Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:52:04.9772063Z HAS_NVIDIA_GPU: false 2025-12-04T08:52:04.9772327Z ##[endgroup] 2025-12-04T08:52:04.9800121Z Filtered matrix: 2025-12-04T08:52:04.9807260Z {include: [{config: default, shard: 1, num_shards: 5, runner: linux.4xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 2, num_shards: 5, runner: linux.4xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 3, num_shards: 5, runner: linux.4xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 4, num_shards: 5, runner: linux.4xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 5, num_shards: 5, runner: linux.4xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: crossref, shard: 1, num_shards: 2, runner: linux.2xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: crossref, shard: 2, num_shards: 2, runner: linux.2xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: dynamo_wrapped, shard: 1, num_shards: 3, runner: linux.2xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: dynamo_wrapped, shard: 2, num_shards: 3, runner: linux.2xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: dynamo_wrapped, shard: 3, num_shards: 3, runner: linux.2xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: einops, shard: 1, num_shards: 1, runner: linux.2xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: openreg, shard: 1, num_shards: 1, runner: linux.2xlarge, rerun_disabled_tests: rerun_disabled_tests}]} 2025-12-04T08:52:04.9812737Z 2025-12-04T08:52:04.9812882Z Is the current job unstable? False 2025-12-04T08:52:04.9813094Z 2025-12-04T08:52:04.9813219Z Is keep-going label set? True 2025-12-04T08:52:04.9813420Z 2025-12-04T08:52:04.9813518Z Reenabled issues? 2025-12-04T08:52:04.9888833Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-12-04T08:52:04.9889405Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-12-04T08:52:04.9895359Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:52:04.9895776Z env: 2025-12-04T08:52:04.9896016Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:52:04.9896315Z HAS_NVIDIA_GPU: false 2025-12-04T08:52:04.9896572Z JOB_TIMEOUT: 240 2025-12-04T08:52:04.9896819Z ##[endgroup] 2025-12-04T08:52:05.0006006Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:52:05.0006585Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:52:05.0007093Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:52:05.0012707Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:52:05.0013127Z env: 2025-12-04T08:52:05.0013371Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:52:05.0013672Z HAS_NVIDIA_GPU: false 2025-12-04T08:52:05.0013936Z ##[endgroup] 2025-12-04T08:52:05.0177335Z ##[group]Run set -x 2025-12-04T08:52:05.0177699Z set -x 2025-12-04T08:52:05.0177944Z  2025-12-04T08:52:05.0178217Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-12-04T08:52:05.0178647Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-12-04T08:52:05.0179197Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-12-04T08:52:05.0179600Z  TEST_COMMAND=.ci/onnx/test.sh 2025-12-04T08:52:05.0179920Z else 2025-12-04T08:52:05.0180193Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-12-04T08:52:05.0180526Z fi 2025-12-04T08:52:05.0180735Z  2025-12-04T08:52:05.0181014Z # Leaving 1GB for the runner and other things 2025-12-04T08:52:05.0181640Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-12-04T08:52:05.0182585Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-12-04T08:52:05.0183349Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-12-04T08:52:05.0183926Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-12-04T08:52:05.0184534Z  2025-12-04T08:52:05.0184804Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-12-04T08:52:05.0185185Z  SHM_OPTS= 2025-12-04T08:52:05.0185459Z  JENKINS_USER= 2025-12-04T08:52:05.0185826Z  # ensure that docker container cleanly exits in 12 hours 2025-12-04T08:52:05.0186355Z  # if for some reason cleanup action doesn't stop container 2025-12-04T08:52:05.0186801Z  # when job is cancelled 2025-12-04T08:52:05.0187137Z  DOCKER_SHELL_CMD="sleep 12h" 2025-12-04T08:52:05.0187490Z  USED_IMAGE="${DOCKER_IMAGE_S390X}" 2025-12-04T08:52:05.0187828Z else 2025-12-04T08:52:05.0188093Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-12-04T08:52:05.0188450Z  JENKINS_USER="--user jenkins" 2025-12-04T08:52:05.0188788Z  DOCKER_SHELL_CMD= 2025-12-04T08:52:05.0189095Z  USED_IMAGE="${DOCKER_IMAGE}" 2025-12-04T08:52:05.0189401Z fi 2025-12-04T08:52:05.0189629Z  2025-12-04T08:52:05.0189990Z # detached container should get cleaned up by teardown_ec2_linux 2025-12-04T08:52:05.0190575Z # TODO: Stop building test binaries as part of the build phase 2025-12-04T08:52:05.0191227Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-12-04T08:52:05.0191812Z # shellcheck disable=SC2086,SC2090 2025-12-04T08:52:05.0192182Z container_name=$(docker run \ 2025-12-04T08:52:05.0192502Z  ${GPU_FLAG:-} \ 2025-12-04T08:52:05.0192828Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-12-04T08:52:05.0193207Z  -e BUILD_ENVIRONMENT \ 2025-12-04T08:52:05.0193528Z  -e PR_NUMBER \ 2025-12-04T08:52:05.0193812Z  -e GITHUB_ACTIONS \ 2025-12-04T08:52:05.0194127Z  -e GITHUB_REPOSITORY \ 2025-12-04T08:52:05.0194448Z  -e GITHUB_WORKFLOW \ 2025-12-04T08:52:05.0194743Z  -e GITHUB_JOB \ 2025-12-04T08:52:05.0195041Z  -e GITHUB_RUN_ID \ 2025-12-04T08:52:05.0195346Z  -e GITHUB_RUN_NUMBER \ 2025-12-04T08:52:05.0195653Z  -e GITHUB_RUN_ATTEMPT \ 2025-12-04T08:52:05.0195971Z  -e JOB_ID \ 2025-12-04T08:52:05.0196243Z  -e JOB_NAME \ 2025-12-04T08:52:05.0196518Z  -e BASE_SHA \ 2025-12-04T08:52:05.0196779Z  -e BRANCH \ 2025-12-04T08:52:05.0197040Z  -e SHA1 \ 2025-12-04T08:52:05.0197311Z  -e AWS_DEFAULT_REGION \ 2025-12-04T08:52:05.0197617Z  -e IN_WHEEL_TEST \ 2025-12-04T08:52:05.0197913Z  -e SHARD_NUMBER \ 2025-12-04T08:52:05.0198203Z  -e TEST_CONFIG \ 2025-12-04T08:52:05.0198485Z  -e NUM_TEST_SHARDS \ 2025-12-04T08:52:05.0198907Z  -e REENABLED_ISSUES \ 2025-12-04T08:52:05.0199239Z  -e CONTINUE_THROUGH_ERROR \ 2025-12-04T08:52:05.0199564Z  -e VERBOSE_TEST_LOGS \ 2025-12-04T08:52:05.0199883Z  -e TEST_SHOWLOCALS \ 2025-12-04T08:52:05.0200199Z  -e NO_TEST_TIMEOUT \ 2025-12-04T08:52:05.0200499Z  -e NO_TD \ 2025-12-04T08:52:05.0200757Z  -e TD_DISTRIBUTED \ 2025-12-04T08:52:05.0201063Z  -e PR_LABELS \ 2025-12-04T08:52:05.0201385Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-12-04T08:52:05.0202076Z  -e SCCACHE_BUCKET \ 2025-12-04T08:52:05.0202385Z  -e SCCACHE_REGION \ 2025-12-04T08:52:05.0202684Z  -e XLA_CUDA \ 2025-12-04T08:52:05.0202983Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-12-04T08:52:05.0203373Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-12-04T08:52:05.0203778Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-12-04T08:52:05.0204182Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-12-04T08:52:05.0204541Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-12-04T08:52:05.0204902Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-12-04T08:52:05.0205272Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-12-04T08:52:05.0205738Z  -e DASHBOARD_TAG \ 2025-12-04T08:52:05.0206056Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-12-04T08:52:05.0206455Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-12-04T08:52:05.0206895Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-12-04T08:52:05.0207346Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-12-04T08:52:05.0207778Z  --security-opt seccomp=unconfined \ 2025-12-04T08:52:05.0208154Z  --cap-add=SYS_PTRACE \ 2025-12-04T08:52:05.0208459Z  --ipc=host \ 2025-12-04T08:52:05.0208738Z  ${SHM_OPTS} \ 2025-12-04T08:52:05.0209015Z  --tty \ 2025-12-04T08:52:05.0209254Z  --detach \ 2025-12-04T08:52:05.0209542Z  --name="${container_name}" \ 2025-12-04T08:52:05.0209881Z  ${JENKINS_USER} \ 2025-12-04T08:52:05.0210241Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-12-04T08:52:05.0210679Z  -w /var/lib/jenkins/workspace \ 2025-12-04T08:52:05.0211021Z  "${USED_IMAGE}" \ 2025-12-04T08:52:05.0211315Z  ${DOCKER_SHELL_CMD} 2025-12-04T08:52:05.0211591Z ) 2025-12-04T08:52:05.0211951Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-12-04T08:52:05.0212392Z  2025-12-04T08:52:05.0212664Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-12-04T08:52:05.0213300Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-12-04T08:52:05.0213862Z fi 2025-12-04T08:52:05.0214089Z  2025-12-04T08:52:05.0214614Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-12-04T08:52:05.0220665Z shell: /usr/bin/bash -e {0} 2025-12-04T08:52:05.0220959Z env: 2025-12-04T08:52:05.0221178Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:52:05.0221467Z HAS_NVIDIA_GPU: false 2025-12-04T08:52:05.0221803Z BUILD_ENVIRONMENT: linux-jammy-py3.14-clang12 2025-12-04T08:52:05.0222153Z PR_NUMBER: 2025-12-04T08:52:05.0222413Z GITHUB_REPOSITORY: pytorch/pytorch 2025-12-04T08:52:05.0222743Z GITHUB_WORKFLOW: pull 2025-12-04T08:52:05.0223000Z GITHUB_JOB: test 2025-12-04T08:52:05.0223255Z GITHUB_RUN_ID: 19922814090 2025-12-04T08:52:05.0223552Z GITHUB_RUN_NUMBER: 384169 2025-12-04T08:52:05.0223842Z GITHUB_RUN_ATTEMPT: 1 2025-12-04T08:52:05.0224099Z JOB_ID: 57115580578 2025-12-04T08:52:05.0224596Z JOB_NAME: linux-jammy-py3.14-clang12 / test (default, 1, 5, linux.4xlarge, rerun_disabled_tests) 2025-12-04T08:52:05.0225149Z BRANCH: main 2025-12-04T08:52:05.0225425Z SHA1: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:52:05.0225993Z BASE_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:52:05.0226370Z TEST_CONFIG: default 2025-12-04T08:52:05.0226618Z SHARD_NUMBER: 1 2025-12-04T08:52:05.0226866Z NUM_TEST_SHARDS: 5 2025-12-04T08:52:05.0227128Z EXTRA_FLAGS: 2025-12-04T08:52:05.0227361Z OP_BENCHMARK_TESTS: 2025-12-04T08:52:05.0227628Z REENABLED_ISSUES: 2025-12-04T08:52:05.0227896Z CONTINUE_THROUGH_ERROR: True 2025-12-04T08:52:05.0228203Z VERBOSE_TEST_LOGS: False 2025-12-04T08:52:05.0228480Z TEST_SHOWLOCALS: False 2025-12-04T08:52:05.0228761Z NO_TEST_TIMEOUT: False 2025-12-04T08:52:05.0229029Z NO_TD: False 2025-12-04T08:52:05.0229263Z TD_DISTRIBUTED: False 2025-12-04T08:52:05.0229596Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-12-04T08:52:05.0229989Z SCCACHE_REGION: us-east-1 2025-12-04T08:52:05.0230263Z SHM_SIZE: 1g 2025-12-04T08:52:05.0231038Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:52:05.0232420Z DOCKER_IMAGE_S390X: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:52:05.0233354Z XLA_CUDA: 2025-12-04T08:52:05.0233724Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-12-04T08:52:05.0234219Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-12-04T08:52:05.0234567Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 1 2025-12-04T08:52:05.0234880Z DASHBOARD_TAG: 2025-12-04T08:52:05.0235345Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-12-04T08:52:05.0235795Z HUGGING_FACE_HUB_TOKEN: *** 2025-12-04T08:52:05.0236235Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-12-04T08:52:05.0236675Z ARTIFACTS_FILE_SUFFIX: test-default-1-5-linux.4xlarge_57115580578 2025-12-04T08:52:05.0237102Z ##[endgroup] 2025-12-04T08:52:05.0263674Z + [[ default == \m\u\l\t\i\g\p\u ]] 2025-12-04T08:52:05.0264327Z + [[ linux-jammy-py3.14-clang12 == *onnx* ]] 2025-12-04T08:52:05.0264712Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-12-04T08:52:05.0267282Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-12-04T08:52:05.0289036Z + TOTAL_AVAILABLE_MEMORY_IN_GB='29.422 ' 2025-12-04T08:52:05.0289706Z + TOTAL_MEMORY_WITH_SWAP=32 2025-12-04T08:52:05.0290333Z + [[ linux-jammy-py3.14-clang12 == *\s\3\9\0\x* ]] 2025-12-04T08:52:05.0290840Z + SHM_OPTS=--shm-size=1g 2025-12-04T08:52:05.0291140Z + JENKINS_USER='--user jenkins' 2025-12-04T08:52:05.0291454Z + DOCKER_SHELL_CMD= 2025-12-04T08:52:05.0292220Z + USED_IMAGE=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:52:05.0298368Z +++ nproc --ignore=2 2025-12-04T08:52:05.0492529Z ++ docker run -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=29g --memory-swap=32g --env-file=/tmp/github_env_19922814090 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=1g --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-py3.14-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:52:21.8828270Z + container_name=aff9be176700db803483f29767bd1586440296d873d32a36ec311e64b68b2ec9 2025-12-04T08:52:21.8829515Z + echo DOCKER_CONTAINER_ID=aff9be176700db803483f29767bd1586440296d873d32a36ec311e64b68b2ec9 2025-12-04T08:52:21.8830164Z + [[ linux-jammy-py3.14-clang12 == *\s\3\9\0\x* ]] 2025-12-04T08:52:21.8834826Z ++ echo dist/torch-2.10.0a0+gitffd9b0f-cp314-cp314-linux_x86_64.whl 2025-12-04T08:52:21.8837500Z + docker exec -t aff9be176700db803483f29767bd1586440296d873d32a36ec311e64b68b2ec9 sh -c 'python3 -m pip install dist/torch-2.10.0a0+gitffd9b0f-cp314-cp314-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-12-04T08:52:22.3797175Z Processing ./dist/torch-2.10.0a0+gitffd9b0f-cp314-cp314-linux_x86_64.whl (from torch==2.10.0a0+gitffd9b0f) 2025-12-04T08:52:22.9391509Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.14/lib/python3.14/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.18.0) 2025-12-04T08:52:22.9394702Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.14/lib/python3.14/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (4.12.2) 2025-12-04T08:52:22.9399967Z Requirement already satisfied: setuptools in /opt/conda/envs/py_3.14/lib/python3.14/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (78.1.1) 2025-12-04T08:52:22.9403651Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.14/lib/python3.14/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (1.13.3) 2025-12-04T08:52:22.9407613Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.14/lib/python3.14/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (2.8.8) 2025-12-04T08:52:22.9410769Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.14/lib/python3.14/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.1.6) 2025-12-04T08:52:22.9414765Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.14/lib/python3.14/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (2025.10.0) 2025-12-04T08:52:22.9428874Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.14/lib/python3.14/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.3.0) 2025-12-04T08:52:22.9535196Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.14/lib/python3.14/site-packages (from opt-einsum>=3.3->torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (2.3.4) 2025-12-04T08:52:22.9568746Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.14/lib/python3.14/site-packages (from sympy>=1.13.3->torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (1.3.0) 2025-12-04T08:52:22.9616069Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.14/lib/python3.14/site-packages (from jinja2->torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.0.3) 2025-12-04T08:52:23.1906469Z Installing collected packages: torch 2025-12-04T08:52:35.1988964Z Successfully installed torch-2.10.0a0+gitffd9b0f 2025-12-04T08:52:35.3104887Z + export TERM=vt100 2025-12-04T08:52:35.3105169Z + TERM=vt100 2025-12-04T08:52:35.3107296Z ++ dirname .ci/pytorch/test.sh 2025-12-04T08:52:35.3116501Z + source .ci/pytorch/common.sh 2025-12-04T08:52:35.3119918Z +++ dirname .ci/pytorch/common.sh 2025-12-04T08:52:35.3128671Z ++ source .ci/pytorch/common_utils.sh 2025-12-04T08:52:35.3130458Z +++ declare -f -t trap_add 2025-12-04T08:52:35.3136405Z ++ set -ex -o pipefail 2025-12-04T08:52:35.3136717Z ++ [[ linux-jammy-py3.14-clang12 == *rocm* ]] 2025-12-04T08:52:35.3137062Z ++ BUILD_TEST_LIBTORCH=0 2025-12-04T08:52:35.3141471Z ++ dirname .ci/pytorch/test.sh 2025-12-04T08:52:35.3149408Z + source .ci/pytorch/common-build.sh 2025-12-04T08:52:35.3151758Z ++ [[ linux-jammy-py3.14-clang12 != *win-* ]] 2025-12-04T08:52:35.3158285Z ++++ dirname .ci/pytorch/common-build.sh 2025-12-04T08:52:35.3167405Z +++ cd .ci/pytorch 2025-12-04T08:52:35.3167685Z +++ pwd -P 2025-12-04T08:52:35.3265738Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-12-04T08:52:35.3266509Z ++ [[ linux-jammy-py3.14-clang12 == *-pch* ]] 2025-12-04T08:52:35.3267124Z ++ which sccache 2025-12-04T08:52:35.3333732Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-12-04T08:52:35.3334152Z ++ sccache --stop-server 2025-12-04T08:52:35.3363902Z ++ true 2025-12-04T08:52:35.3364374Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-12-04T08:52:35.3374610Z ++ trap_add sccache_epilogue EXIT 2025-12-04T08:52:35.3375174Z ++ trap_add_cmd=sccache_epilogue 2025-12-04T08:52:35.3375687Z ++ shift 2025-12-04T08:52:35.3375936Z ++ for trap_add_name in "$@" 2025-12-04T08:52:35.3382077Z ++++ trap -p EXIT 2025-12-04T08:52:35.3385006Z +++ eval 'extract_trap_cmd ' 2025-12-04T08:52:35.3385453Z ++++ extract_trap_cmd 2025-12-04T08:52:35.3385717Z ++++ printf '%s\n' '' 2025-12-04T08:52:35.3385982Z +++ printf '%s\n' sccache_epilogue 2025-12-04T08:52:35.3387672Z ++ trap -- ' 2025-12-04T08:52:35.3388047Z sccache_epilogue' EXIT 2025-12-04T08:52:35.3388541Z ++ [[ -n 1 ]] 2025-12-04T08:52:35.3388967Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-12-04T08:52:35.3389623Z Skipping sccache server initialization, setting environment variables 2025-12-04T08:52:35.3390360Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-12-04T08:52:35.3390666Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-12-04T08:52:35.3391041Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T08:52:35.3391528Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T08:52:35.3398604Z ++ export RUST_LOG=sccache::server=error 2025-12-04T08:52:35.3399010Z ++ RUST_LOG=sccache::server=error 2025-12-04T08:52:35.3399341Z ++ sccache --zero-stats 2025-12-04T08:52:35.5175720Z Statistics zeroed. 2025-12-04T08:52:35.5178973Z ++ which ccache 2025-12-04T08:52:35.5271737Z + [[ linux-jammy-py3.14-clang12 != *rocm* ]] 2025-12-04T08:52:35.5272193Z + [[ linux-jammy-py3.14-clang12 != *s390x* ]] 2025-12-04T08:52:35.5272569Z + [[ -d /var/lib/jenkins/workspace ]] 2025-12-04T08:52:35.5274522Z ++ stat -c %u /var/lib/jenkins/workspace 2025-12-04T08:52:35.5289229Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-12-04T08:52:35.5289580Z + trap_add cleanup_workspace EXIT 2025-12-04T08:52:35.5289934Z + trap_add_cmd=cleanup_workspace 2025-12-04T08:52:35.5290221Z + shift 2025-12-04T08:52:35.5290458Z + for trap_add_name in "$@" 2025-12-04T08:52:35.5297473Z +++ trap -p EXIT 2025-12-04T08:52:35.5300392Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-12-04T08:52:35.5300814Z sccache_epilogue'\'' EXIT' 2025-12-04T08:52:35.5301124Z +++ extract_trap_cmd trap -- ' 2025-12-04T08:52:35.5301507Z sccache_epilogue' EXIT 2025-12-04T08:52:35.5302021Z +++ printf '%s\n' ' 2025-12-04T08:52:35.5302273Z sccache_epilogue' 2025-12-04T08:52:35.5302544Z ++ printf '%s\n' cleanup_workspace 2025-12-04T08:52:35.5303945Z + trap -- ' 2025-12-04T08:52:35.5304182Z sccache_epilogue 2025-12-04T08:52:35.5304525Z cleanup_workspace' EXIT 2025-12-04T08:52:35.5304840Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-12-04T08:52:36.2189256Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-12-04T08:52:36.2208710Z + [[ linux-jammy-py3.14-clang12 == *cuda* ]] 2025-12-04T08:52:36.2209393Z + echo 'Environment variables:' 2025-12-04T08:52:36.2209957Z Environment variables: 2025-12-04T08:52:36.2210218Z + env 2025-12-04T08:52:36.2220387Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T08:52:36.2221284Z CONTINUE_THROUGH_ERROR=True 2025-12-04T08:52:36.2221693Z BUILD_ENVIRONMENT=linux-jammy-py3.14-clang12 2025-12-04T08:52:36.2222488Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-12-04T08:52:36.2222816Z HOSTNAME=aff9be176700 2025-12-04T08:52:36.2223454Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_7290bca2-9134-4506-9a3e-d0eb96cdad90 2025-12-04T08:52:36.2224147Z GITHUB_ACTION=__run_3 2025-12-04T08:52:36.2224426Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-12-04T08:52:36.2224757Z GITHUB_RUN_NUMBER=384169 2025-12-04T08:52:36.2225042Z TEST_CONFIG=default 2025-12-04T08:52:36.2225552Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-12-04T08:52:36.2225918Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-12-04T08:52:36.2226271Z SCCACHE_IDLE_TIMEOUT=0 2025-12-04T08:52:36.2226691Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-12-04T08:52:36.2227031Z GITHUB_TRIGGERING_ACTOR=huydhn 2025-12-04T08:52:36.2227342Z GITHUB_REF_TYPE=branch 2025-12-04T08:52:36.2227753Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:52:36.2228122Z XLA_CUDA= 2025-12-04T08:52:36.2228369Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-12-04T08:52:36.2228805Z HUGGING_FACE_HUB_TOKEN=*** 2025-12-04T08:52:36.2229315Z *** 2025-12-04T08:52:36.2229551Z GITHUB_REPOSITORY_ID=65600975 2025-12-04T08:52:36.2229850Z GITHUB_ACTIONS=true 2025-12-04T08:52:36.2230154Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T08:52:36.2230579Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:52:36.2230987Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:52:36.2231547Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/pull.yml@refs/heads/main 2025-12-04T08:52:36.2232034Z UCC_HOME=/usr 2025-12-04T08:52:36.2232277Z VERBOSE_TEST_LOGS=False 2025-12-04T08:52:36.2232556Z GITHUB_REF=refs/heads/main 2025-12-04T08:52:36.2232970Z SHARD_NUMBER=1 2025-12-04T08:52:36.2233220Z GITHUB_REF_PROTECTED=true 2025-12-04T08:52:36.2233506Z HOME=/var/lib/jenkins 2025-12-04T08:52:36.2233793Z GITHUB_API_URL=https://api.github.com 2025-12-04T08:52:36.2234147Z PYTORCH_TEST_RERUN_DISABLED_TESTS=1 2025-12-04T08:52:36.2234466Z UCX_COMMIT= 2025-12-04T08:52:36.2234682Z USE_SYSTEM_NCCL=1 2025-12-04T08:52:36.2234932Z NUM_TEST_SHARDS=5 2025-12-04T08:52:36.2235179Z UCX_HOME=/usr 2025-12-04T08:52:36.2235776Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_7290bca2-9134-4506-9a3e-d0eb96cdad90 2025-12-04T08:52:36.2236705Z JOB_NAME=linux-jammy-py3.14-clang12 / test (default, 1, 5, linux.4xlarge, rerun_disabled_tests) 2025-12-04T08:52:36.2237605Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_7290bca2-9134-4506-9a3e-d0eb96cdad90 2025-12-04T08:52:36.2238475Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-12-04T08:52:36.2239007Z GITHUB_EVENT_NAME=schedule 2025-12-04T08:52:36.2239299Z DASHBOARD_TAG= 2025-12-04T08:52:36.2239553Z GITHUB_RUN_ID=19922814090 2025-12-04T08:52:36.2239916Z INSTALLED_OPENBLAS= 2025-12-04T08:52:36.2240587Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_7290bca2-9134-4506-9a3e-d0eb96cdad90 2025-12-04T08:52:36.2241320Z GITHUB_ACTOR=huydhn 2025-12-04T08:52:36.2241574Z PR_NUMBER= 2025-12-04T08:52:36.2241788Z DESIRED_CUDA= 2025-12-04T08:52:36.2242034Z GITHUB_RUN_ATTEMPT=1 2025-12-04T08:52:36.2242316Z ANACONDA_PYTHON_VERSION=3.14 2025-12-04T08:52:36.2242669Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-12-04T08:52:36.2243043Z TERM=vt100 2025-12-04T08:52:36.2243274Z INSTALLED_VISION=yes 2025-12-04T08:52:36.2243521Z BRANCH=main 2025-12-04T08:52:36.2243760Z SCCACHE_REGION=us-east-1 2025-12-04T08:52:36.2244051Z OPENSSL_ROOT_DIR=/opt/openssl 2025-12-04T08:52:36.2244344Z BUILD_AOT_INDUCTOR_TEST= 2025-12-04T08:52:36.2244630Z CUDA_PATH=/usr/local/cuda 2025-12-04T08:52:36.2245196Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-12-04T08:52:36.2245815Z GITHUB_SERVER_URL=https://github.com 2025-12-04T08:52:36.2246140Z UCC_COMMIT= 2025-12-04T08:52:36.2246365Z REENABLED_ISSUES= 2025-12-04T08:52:36.2246597Z DOCS= 2025-12-04T08:52:36.2246831Z SHLVL=1 2025-12-04T08:52:36.2247046Z MAX_JOBS=14 2025-12-04T08:52:36.2247282Z GITHUB_ACTOR_ID=475357 2025-12-04T08:52:36.2247629Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:52:36.2248084Z GITHUB_REF_NAME=main 2025-12-04T08:52:36.2248493Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-12-04T08:52:36.2248939Z GITHUB_JOB=test 2025-12-04T08:52:36.2249182Z NO_TEST_TIMEOUT=False 2025-12-04T08:52:36.2249571Z TD_DISTRIBUTED=False 2025-12-04T08:52:36.2249842Z GITHUB_REPOSITORY=pytorch/pytorch 2025-12-04T08:52:36.2250167Z GITHUB_RETENTION_DAYS=90 2025-12-04T08:52:36.2250525Z OPENSSL_DIR=/opt/openssl 2025-12-04T08:52:36.2250798Z GITHUB_ACTION_REPOSITORY= 2025-12-04T08:52:36.2251656Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.14/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-12-04T08:52:36.2252529Z GITHUB_BASE_REF= 2025-12-04T08:52:36.2252779Z INSTALLED_ACL= 2025-12-04T08:52:36.2253128Z ARTIFACTS_FILE_SUFFIX=test-default-1-5-linux.4xlarge_57115580578 2025-12-04T08:52:36.2253563Z CI=true 2025-12-04T08:52:36.2253802Z GITHUB_REPOSITORY_OWNER=pytorch 2025-12-04T08:52:36.2254131Z RUST_LOG=sccache::server=error 2025-12-04T08:52:36.2254426Z JOB_ID=57115580578 2025-12-04T08:52:36.2254673Z GITHUB_HEAD_REF= 2025-12-04T08:52:36.2254903Z GITHUB_ACTION_REF= 2025-12-04T08:52:36.2255216Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-12-04T08:52:36.2255602Z TEST_SHOWLOCALS=False 2025-12-04T08:52:36.2255859Z GITHUB_WORKFLOW=pull 2025-12-04T08:52:36.2256145Z DEBIAN_FRONTEND=noninteractive 2025-12-04T08:52:36.2256821Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_7290bca2-9134-4506-9a3e-d0eb96cdad90 2025-12-04T08:52:36.2257590Z NO_TD=False 2025-12-04T08:52:36.2257829Z SKIP_SCCACHE_INITIALIZATION=1 2025-12-04T08:52:36.2258163Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-12-04T08:52:36.2258495Z _=/usr/bin/env 2025-12-04T08:52:36.2258818Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-12-04T08:52:36.2445814Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch 2025-12-04T08:52:36.2446771Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/bin 2025-12-04T08:52:36.2447647Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib 2025-12-04T08:52:36.2448279Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/test 2025-12-04T08:52:36.2448801Z + BUILD_DIR=build 2025-12-04T08:52:36.2449071Z + BUILD_RENAMED_DIR=build_renamed 2025-12-04T08:52:36.2449377Z + BUILD_BIN_DIR=build/bin 2025-12-04T08:52:36.2449655Z + SHARD_NUMBER=1 2025-12-04T08:52:36.2449929Z + NUM_TEST_SHARDS=5 2025-12-04T08:52:36.2450207Z + export TORCH_SERIALIZATION_DEBUG=1 2025-12-04T08:52:36.2450531Z + TORCH_SERIALIZATION_DEBUG=1 2025-12-04T08:52:36.2450830Z + export VALGRIND=ON 2025-12-04T08:52:36.2451086Z + VALGRIND=ON 2025-12-04T08:52:36.2451346Z + [[ linux-jammy-py3.14-clang12 == *clang9* ]] 2025-12-04T08:52:36.2451722Z + [[ linux-jammy-py3.14-clang12 == *xpu* ]] 2025-12-04T08:52:36.2452059Z + detect_cuda_arch 2025-12-04T08:52:36.2452378Z + [[ linux-jammy-py3.14-clang12 == *cuda* ]] 2025-12-04T08:52:36.2452802Z + [[ linux-jammy-py3.14-clang12 == *s390x* ]] 2025-12-04T08:52:36.2453140Z + [[ 1 == \1 ]] 2025-12-04T08:52:36.2453366Z + ulimit -c 0 2025-12-04T08:52:36.2453633Z + [[ linux-jammy-py3.14-clang12 != *bazel* ]] 2025-12-04T08:52:36.2454004Z ++ realpath build/custom_test_artifacts 2025-12-04T08:52:36.2463857Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-12-04T08:52:36.2464378Z + [[ -n '' ]] 2025-12-04T08:52:36.2464647Z + echo 'Environment variables' 2025-12-04T08:52:36.2464955Z Environment variables 2025-12-04T08:52:36.2465201Z + env 2025-12-04T08:52:36.2485143Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T08:52:36.2485751Z CONTINUE_THROUGH_ERROR=True 2025-12-04T08:52:36.2486105Z BUILD_ENVIRONMENT=linux-jammy-py3.14-clang12 2025-12-04T08:52:36.2486735Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-12-04T08:52:36.2487047Z HOSTNAME=aff9be176700 2025-12-04T08:52:36.2487678Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_7290bca2-9134-4506-9a3e-d0eb96cdad90 2025-12-04T08:52:36.2488509Z GITHUB_ACTION=__run_3 2025-12-04T08:52:36.2488783Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-12-04T08:52:36.2489212Z GITHUB_RUN_NUMBER=384169 2025-12-04T08:52:36.2489800Z TEST_CONFIG=default 2025-12-04T08:52:36.2490070Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-12-04T08:52:36.2490555Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-12-04T08:52:36.2490907Z SCCACHE_IDLE_TIMEOUT=0 2025-12-04T08:52:36.2491372Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-12-04T08:52:36.2491872Z GITHUB_TRIGGERING_ACTOR=huydhn 2025-12-04T08:52:36.2492270Z GITHUB_REF_TYPE=branch 2025-12-04T08:52:36.2492637Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:52:36.2492984Z XLA_CUDA= 2025-12-04T08:52:36.2493266Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-12-04T08:52:36.2493897Z HUGGING_FACE_HUB_TOKEN=*** 2025-12-04T08:52:36.2494291Z *** 2025-12-04T08:52:36.2494634Z GITHUB_REPOSITORY_ID=65600975 2025-12-04T08:52:36.2495083Z GITHUB_ACTIONS=true 2025-12-04T08:52:36.2495459Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T08:52:36.2495884Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:52:36.2496295Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:52:36.2497076Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/pull.yml@refs/heads/main 2025-12-04T08:52:36.2497816Z UCC_HOME=/usr 2025-12-04T08:52:36.2498158Z TORCH_SERIALIZATION_DEBUG=1 2025-12-04T08:52:36.2498648Z VERBOSE_TEST_LOGS=False 2025-12-04T08:52:36.2498919Z GITHUB_REF=refs/heads/main 2025-12-04T08:52:36.2499295Z SHARD_NUMBER=1 2025-12-04T08:52:36.2499550Z GITHUB_REF_PROTECTED=true 2025-12-04T08:52:36.2499824Z HOME=/var/lib/jenkins 2025-12-04T08:52:36.2500134Z GITHUB_API_URL=https://api.github.com 2025-12-04T08:52:36.2500490Z PYTORCH_TEST_RERUN_DISABLED_TESTS=1 2025-12-04T08:52:36.2500794Z UCX_COMMIT= 2025-12-04T08:52:36.2501082Z USE_SYSTEM_NCCL=1 2025-12-04T08:52:36.2501368Z NUM_TEST_SHARDS=5 2025-12-04T08:52:36.2501946Z UCX_HOME=/usr 2025-12-04T08:52:36.2502568Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_7290bca2-9134-4506-9a3e-d0eb96cdad90 2025-12-04T08:52:36.2503497Z JOB_NAME=linux-jammy-py3.14-clang12 / test (default, 1, 5, linux.4xlarge, rerun_disabled_tests) 2025-12-04T08:52:36.2504396Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_7290bca2-9134-4506-9a3e-d0eb96cdad90 2025-12-04T08:52:36.2505247Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-12-04T08:52:36.2505803Z GITHUB_EVENT_NAME=schedule 2025-12-04T08:52:36.2506169Z DASHBOARD_TAG= 2025-12-04T08:52:36.2506486Z GITHUB_RUN_ID=19922814090 2025-12-04T08:52:36.2506763Z INSTALLED_OPENBLAS= 2025-12-04T08:52:36.2507424Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_7290bca2-9134-4506-9a3e-d0eb96cdad90 2025-12-04T08:52:36.2508151Z GITHUB_ACTOR=huydhn 2025-12-04T08:52:36.2508384Z PR_NUMBER= 2025-12-04T08:52:36.2508609Z DESIRED_CUDA= 2025-12-04T08:52:36.2508847Z GITHUB_RUN_ATTEMPT=1 2025-12-04T08:52:36.2509088Z VALGRIND=ON 2025-12-04T08:52:36.2509331Z ANACONDA_PYTHON_VERSION=3.14 2025-12-04T08:52:36.2509692Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-12-04T08:52:36.2510061Z TERM=vt100 2025-12-04T08:52:36.2510291Z INSTALLED_VISION=yes 2025-12-04T08:52:36.2510706Z BRANCH=main 2025-12-04T08:52:36.2510979Z SCCACHE_REGION=us-east-1 2025-12-04T08:52:36.2511259Z OPENSSL_ROOT_DIR=/opt/openssl 2025-12-04T08:52:36.2511566Z BUILD_AOT_INDUCTOR_TEST= 2025-12-04T08:52:36.2511857Z CUDA_PATH=/usr/local/cuda 2025-12-04T08:52:36.2512405Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-12-04T08:52:36.2513038Z GITHUB_SERVER_URL=https://github.com 2025-12-04T08:52:36.2513360Z UCC_COMMIT= 2025-12-04T08:52:36.2513574Z REENABLED_ISSUES= 2025-12-04T08:52:36.2513810Z DOCS= 2025-12-04T08:52:36.2514019Z SHLVL=1 2025-12-04T08:52:36.2514220Z MAX_JOBS=14 2025-12-04T08:52:36.2514449Z GITHUB_ACTOR_ID=475357 2025-12-04T08:52:36.2514815Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:52:36.2515223Z GITHUB_REF_NAME=main 2025-12-04T08:52:36.2515628Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-12-04T08:52:36.2516265Z GITHUB_JOB=test 2025-12-04T08:52:36.2516506Z NO_TEST_TIMEOUT=False 2025-12-04T08:52:36.2516785Z TD_DISTRIBUTED=False 2025-12-04T08:52:36.2517076Z GITHUB_REPOSITORY=pytorch/pytorch 2025-12-04T08:52:36.2517413Z GITHUB_RETENTION_DAYS=90 2025-12-04T08:52:36.2517686Z OPENSSL_DIR=/opt/openssl 2025-12-04T08:52:36.2517968Z GITHUB_ACTION_REPOSITORY= 2025-12-04T08:52:36.2518816Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.14/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-12-04T08:52:36.2519672Z GITHUB_BASE_REF= 2025-12-04T08:52:36.2519919Z INSTALLED_ACL= 2025-12-04T08:52:36.2520281Z ARTIFACTS_FILE_SUFFIX=test-default-1-5-linux.4xlarge_57115580578 2025-12-04T08:52:36.2520694Z CI=true 2025-12-04T08:52:36.2520937Z GITHUB_REPOSITORY_OWNER=pytorch 2025-12-04T08:52:36.2521282Z RUST_LOG=sccache::server=error 2025-12-04T08:52:36.2521561Z JOB_ID=57115580578 2025-12-04T08:52:36.2521809Z GITHUB_HEAD_REF= 2025-12-04T08:52:36.2522058Z GITHUB_ACTION_REF= 2025-12-04T08:52:36.2522353Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-12-04T08:52:36.2522737Z TEST_SHOWLOCALS=False 2025-12-04T08:52:36.2523002Z GITHUB_WORKFLOW=pull 2025-12-04T08:52:36.2523375Z DEBIAN_FRONTEND=noninteractive 2025-12-04T08:52:36.2524043Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_7290bca2-9134-4506-9a3e-d0eb96cdad90 2025-12-04T08:52:36.2524730Z NO_TD=False 2025-12-04T08:52:36.2524977Z SKIP_SCCACHE_INITIALIZATION=1 2025-12-04T08:52:36.2525291Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-12-04T08:52:36.2525622Z _=/usr/bin/env 2025-12-04T08:52:36.2525863Z + echo 'Testing pytorch' 2025-12-04T08:52:36.2526125Z Testing pytorch 2025-12-04T08:52:36.2526384Z + export LANG=C.UTF-8 2025-12-04T08:52:36.2526642Z + LANG=C.UTF-8 2025-12-04T08:52:36.2526859Z + PR_NUMBER= 2025-12-04T08:52:36.2527099Z + [[ default == \d\e\f\a\u\l\t ]] 2025-12-04T08:52:36.2527414Z + export CUDA_VISIBLE_DEVICES=0 2025-12-04T08:52:36.2527709Z + CUDA_VISIBLE_DEVICES=0 2025-12-04T08:52:36.2527995Z + export HIP_VISIBLE_DEVICES=0 2025-12-04T08:52:36.2528299Z + HIP_VISIBLE_DEVICES=0 2025-12-04T08:52:36.2528574Z + [[ default == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-12-04T08:52:36.2528914Z + [[ default == \s\l\o\w ]] 2025-12-04T08:52:36.2529261Z + [[ linux-jammy-py3.14-clang12 == *slow-gradcheck* ]] 2025-12-04T08:52:36.2529674Z + [[ linux-jammy-py3.14-clang12 == *cuda* ]] 2025-12-04T08:52:36.2530030Z + [[ linux-jammy-py3.14-clang12 == *rocm* ]] 2025-12-04T08:52:36.2530395Z + [[ linux-jammy-py3.14-clang12 == *xpu* ]] 2025-12-04T08:52:36.2530743Z + [[ default == *crossref* ]] 2025-12-04T08:52:36.2531049Z + [[ linux-jammy-py3.14-clang12 == *rocm* ]] 2025-12-04T08:52:36.2531413Z + [[ linux-jammy-py3.14-clang12 == *xpu* ]] 2025-12-04T08:52:36.2531788Z + [[ linux-jammy-py3.14-clang12 != *-bazel-* ]] 2025-12-04T08:52:36.2532138Z + pip_install ninja==1.10.2 2025-12-04T08:52:36.2532553Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-12-04T08:52:36.2533047Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-12-04T08:52:36.7753772Z Collecting ninja==1.10.2 2025-12-04T08:52:36.7993301Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-12-04T08:52:36.8102235Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-12-04T08:52:36.9841568Z Installing collected packages: ninja 2025-12-04T08:52:36.9842567Z Attempting uninstall: ninja 2025-12-04T08:52:36.9873155Z Found existing installation: ninja 1.11.1.4 2025-12-04T08:52:36.9894701Z Uninstalling ninja-1.11.1.4: 2025-12-04T08:52:36.9960179Z Successfully uninstalled ninja-1.11.1.4 2025-12-04T08:52:37.0194036Z Successfully installed ninja-1.10.2 2025-12-04T08:52:37.0965443Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.14/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-12-04T08:52:37.0967527Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.14/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-12-04T08:52:37.0968601Z + [[ linux-jammy-py3.14-clang12 == *aarch64* ]] 2025-12-04T08:52:37.0968995Z + [[ linux-jammy-py3.14-clang12 == *asan* ]] 2025-12-04T08:52:37.0969358Z + [[ linux-jammy-py3.14-clang12 == *-debug* ]] 2025-12-04T08:52:37.0969742Z + [[ linux-jammy-py3.14-clang12 != *-bazel-* ]] 2025-12-04T08:52:37.0970296Z + echo 'We are not in debug mode: linux-jammy-py3.14-clang12. Expect the assertion to pass' 2025-12-04T08:52:37.0970976Z We are not in debug mode: linux-jammy-py3.14-clang12. Expect the assertion to pass 2025-12-04T08:52:37.0971465Z + cd test 2025-12-04T08:52:37.0971839Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-12-04T08:52:38.5896213Z + [[ default == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-12-04T08:52:38.5896698Z + [[ default == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-12-04T08:52:38.5897098Z + [[ default == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-12-04T08:52:38.5901982Z + DYNAMO_BENCHMARK_FLAGS=() 2025-12-04T08:52:38.5903016Z + [[ default == *pr_time_benchmarks* ]] 2025-12-04T08:52:38.5904073Z + [[ default == *dynamo_eager* ]] 2025-12-04T08:52:38.5904636Z + [[ default == *aot_eager* ]] 2025-12-04T08:52:38.5905042Z + [[ default == *aot_inductor* ]] 2025-12-04T08:52:38.5905395Z + [[ default == *max_autotune_inductor* ]] 2025-12-04T08:52:38.5905730Z + [[ default == *inductor* ]] 2025-12-04T08:52:38.5906025Z + [[ default == *dynamic* ]] 2025-12-04T08:52:38.5906317Z + [[ default == *cpu* ]] 2025-12-04T08:52:38.5906579Z + [[ default == *xpu* ]] 2025-12-04T08:52:38.5906891Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda) 2025-12-04T08:52:38.5938130Z + [[ linux-jammy-py3.14-clang12 == *libtorch* ]] 2025-12-04T08:52:38.5938747Z + [[ linux-jammy-py3.14-clang12 == *-bazel-* ]] 2025-12-04T08:52:38.5941793Z + cd test 2025-12-04T08:52:38.5942245Z + python -c 'import torch; print(torch.__config__.show())' 2025-12-04T08:52:39.7562508Z PyTorch built with: 2025-12-04T08:52:39.7562845Z - GCC 4.2 2025-12-04T08:52:39.7563082Z - C++ Version: 201703 2025-12-04T08:52:39.7563346Z - clang 12.0.1 2025-12-04T08:52:39.7563972Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-12-04T08:52:39.7564753Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-12-04T08:52:39.7565214Z - OpenMP 201811 2025-12-04T08:52:39.7565496Z - LAPACK is enabled (usually provided by MKL) 2025-12-04T08:52:39.7565858Z - NNPACK is enabled 2025-12-04T08:52:39.7566141Z - CPU capability usage: AVX512 2025-12-04T08:52:39.7571822Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=35b7a9a26c5923d98aebaa41a031dae21788a9ee, CXX_COMPILER=/opt/cache/bin/clang++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -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=braced-scalar-init -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wvla-extension -Wsuggest-override -Wnewline-eof -Winconsistent-missing-override -Winconsistent-missing-destructor-override -Wno-pass-failed -Wno-error=old-style-cast -Wconstant-conversion -Qunused-arguments -faligned-new -Werror -fno-math-errno -fno-trapping-math -Werror=format, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.10.0, USE_CUDA=OFF, USE_CUDNN=OFF, USE_CUSPARSELT=OFF, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, 2025-12-04T08:52:39.7577667Z 2025-12-04T08:52:40.0800808Z + cd test 2025-12-04T08:52:40.0801296Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-12-04T08:52:41.2309447Z ATen/Parallel: 2025-12-04T08:52:41.2309802Z at::get_num_threads() : 8 2025-12-04T08:52:41.2310152Z at::get_num_interop_threads() : 8 2025-12-04T08:52:41.2310469Z OpenMP 201811 2025-12-04T08:52:41.2310705Z omp_get_max_threads() : 8 2025-12-04T08:52:41.2311324Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-12-04T08:52:41.2311973Z mkl_get_max_threads() : 8 2025-12-04T08:52:41.2312369Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-12-04T08:52:41.2312857Z std::thread::hardware_concurrency() : 16 2025-12-04T08:52:41.2313209Z Environment variables: 2025-12-04T08:52:41.2313477Z OMP_NUM_THREADS : [not set] 2025-12-04T08:52:41.2313774Z MKL_NUM_THREADS : [not set] 2025-12-04T08:52:41.2314080Z ATen parallel backend: OpenMP 2025-12-04T08:52:41.2314287Z 2025-12-04T08:52:41.5509537Z + [[ default == *numpy_2* ]] 2025-12-04T08:52:41.5510316Z + [[ linux-jammy-py3.14-clang12 == *aarch64* ]] 2025-12-04T08:52:41.5510941Z + [[ default == *backward* ]] 2025-12-04T08:52:41.5511911Z + [[ default == *libtorch_agnostic_targetting* ]] 2025-12-04T08:52:41.5512477Z + [[ default == *xla* ]] 2025-12-04T08:52:41.5512926Z + [[ default == *vllm* ]] 2025-12-04T08:52:41.5513353Z + [[ default == *executorch* ]] 2025-12-04T08:52:41.5513824Z + [[ default == \j\i\t\_\l\e\g\a\c\y ]] 2025-12-04T08:52:41.5514394Z + [[ default == \q\u\a\n\t\i\z\a\t\i\o\n ]] 2025-12-04T08:52:41.5515049Z + [[ linux-jammy-py3.14-clang12 == *libtorch* ]] 2025-12-04T08:52:41.5515446Z + [[ default == distributed ]] 2025-12-04T08:52:41.5515758Z + [[ default == *operator_benchmark* ]] 2025-12-04T08:52:41.5516118Z + [[ default == *operator_microbenchmark* ]] 2025-12-04T08:52:41.5516481Z + [[ default == *attention_microbenchmark* ]] 2025-12-04T08:52:41.5516850Z + [[ default == *inductor_distributed* ]] 2025-12-04T08:52:41.5517214Z + [[ default == *inductor-halide* ]] 2025-12-04T08:52:41.5517553Z + [[ default == *inductor-pallas* ]] 2025-12-04T08:52:41.5517883Z + [[ default == *inductor-triton-cpu* ]] 2025-12-04T08:52:41.5518261Z + [[ default == *inductor-micro-benchmark* ]] 2025-12-04T08:52:41.5518654Z + [[ default == *aoti_cross_compile_for_windows* ]] 2025-12-04T08:52:41.5519018Z + [[ default == *huggingface* ]] 2025-12-04T08:52:41.5519320Z + [[ default == *timm* ]] 2025-12-04T08:52:41.5519601Z + [[ default == cachebench ]] 2025-12-04T08:52:41.5519895Z + [[ default == verify_cachebench ]] 2025-12-04T08:52:41.5520219Z + [[ default == *torchbench* ]] 2025-12-04T08:52:41.5520536Z + [[ default == *inductor_cpp_wrapper* ]] 2025-12-04T08:52:41.5520870Z + [[ default == *inductor_core* ]] 2025-12-04T08:52:41.5521182Z + [[ default == *inductor* ]] 2025-12-04T08:52:41.5521477Z + [[ default == *einops* ]] 2025-12-04T08:52:41.5521770Z + [[ default == *dynamo_core* ]] 2025-12-04T08:52:41.5522073Z + [[ default == *dynamo_wrapped* ]] 2025-12-04T08:52:41.5522416Z + [[ linux-jammy-py3.14-clang12 == *rocm* ]] 2025-12-04T08:52:41.5522752Z + [[ 1 == 1 ]] 2025-12-04T08:52:41.5522982Z + [[ 5 -gt 1 ]] 2025-12-04T08:52:41.5523255Z + test_lazy_tensor_meta_reference_disabled 2025-12-04T08:52:41.5523688Z + export TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE=1 2025-12-04T08:52:41.5524134Z + TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE=1 2025-12-04T08:52:41.5524610Z + echo 'Testing lazy tensor operations without meta reference' 2025-12-04T08:52:41.5525099Z Testing lazy tensor operations without meta reference 2025-12-04T08:52:41.5525604Z + python test/run_test.py --include lazy/test_ts_opinfo.py --verbose 2025-12-04T08:52:43.8595813Z No TD results found 2025-12-04T08:52:43.8596685Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T08:52:43.9230096Z Ignoring disabled issues: [''] 2025-12-04T08:52:43.9342995Z Found test times from artifacts 2025-12-04T08:52:43.9767042Z Found test times from artifacts 2025-12-04T08:52:43.9781027Z Running all tests 2025-12-04T08:52:43.9783905Z Running parallel tests on 3 processes 2025-12-04T08:52:43.9784282Z Name: tests to run (est. time: 0.44min) 2025-12-04T08:52:43.9784716Z Serial tests (0): 2025-12-04T08:52:43.9785034Z Parallel tests (1): 2025-12-04T08:52:43.9785315Z lazy/test_ts_opinfo 1/1 2025-12-04T08:52:43.9785622Z Name: excluded (est. time: 0.0min) 2025-12-04T08:52:43.9785920Z Serial tests (0): 2025-12-04T08:52:43.9786180Z Parallel tests (0): 2025-12-04T08:52:43.9786593Z Running lazy/test_ts_opinfo 1/1 ... [2025-12-04 08:52:43.978385][1221.288224314] 2025-12-04T08:52:43.9787067Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:52:43.9790477Z Executing ['/opt/conda/envs/py_3.14/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 08:52:43.978750] 2025-12-04T08:52:48.4498784Z 2025-12-04T08:52:48.4500216Z 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_7d8478e701780727_.log 2025-12-04T08:52:48.4502480Z Running 0 items in this shard: 2025-12-04T08:52:48.4502802Z 2025-12-04T08:52:48.4503276Z Finished lazy/test_ts_opinfo 1/1 ... [2025-12-04 08:52:48.449754][1225.759592163], took 0.07min 2025-12-04T08:52:48.4508926Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-1a840aed6afd6c7e.xml 2025-12-04T08:52:48.7123461Z Uploading artifacts took 0.11 seconds 2025-12-04T08:52:51.1512323Z Running lazy/test_ts_opinfo 1/1 ... [2025-12-04 08:52:51.150818][1228.460653983] 2025-12-04T08:52:51.1513174Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:52:51.1515497Z Executing ['/opt/conda/envs/py_3.14/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 08:52:51.151213] 2025-12-04T08:52:55.5834782Z 2025-12-04T08:52:55.5835757Z 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_48601493c5619e2c_.log 2025-12-04T08:52:55.5836604Z Running 0 items in this shard: 2025-12-04T08:52:55.5836831Z 2025-12-04T08:52:55.5837121Z Finished lazy/test_ts_opinfo 1/1 ... [2025-12-04 08:52:55.583359][1232.893188191], took 0.07min 2025-12-04T08:52:55.5845702Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-cdc769aabdd674d5.xml 2025-12-04T08:52:56.4641534Z Running test batch 'tests to run' cost 12.49 seconds 2025-12-04T08:52:57.2330439Z 2025-12-04T08:52:57.2330918Z real 0m15.682s 2025-12-04T08:52:57.2331215Z user 0m28.018s 2025-12-04T08:52:57.2331475Z sys 0m2.460s 2025-12-04T08:52:57.2331823Z + export -n TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE 2025-12-04T08:52:57.2332240Z + test_without_numpy 2025-12-04T08:52:57.2335007Z ++ dirname .ci/pytorch/test.sh 2025-12-04T08:52:57.2360944Z + pushd .ci/pytorch 2025-12-04T08:52:57.2361220Z ~/workspace/.ci/pytorch ~/workspace 2025-12-04T08:52:57.2362109Z + 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())' 2025-12-04T08:52:57.9203715Z /opt/conda/envs/py_3.14/lib/python3.14/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.) 2025-12-04T08:52:57.9207134Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-12-04T08:52:58.6084810Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');import torch;print(torch.tensor([torch.tensor(0.), torch.tensor(1.)]))' 2025-12-04T08:52:59.2951781Z /opt/conda/envs/py_3.14/lib/python3.14/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.) 2025-12-04T08:52:59.2954786Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-12-04T08:52:59.6974932Z tensor([0., 1.]) 2025-12-04T08:52:59.9915847Z + [[ default == *dynamo_wrapped* ]] 2025-12-04T08:52:59.9916463Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');import torch; import torch.onnx' 2025-12-04T08:53:00.6736708Z /opt/conda/envs/py_3.14/lib/python3.14/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.) 2025-12-04T08:53:00.6739765Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-12-04T08:53:01.4369172Z + popd 2025-12-04T08:53:01.4369478Z ~/workspace 2025-12-04T08:53:01.4369705Z + install_torchvision 2025-12-04T08:53:01.4370015Z + local orig_preload 2025-12-04T08:53:01.4370279Z + local commit 2025-12-04T08:53:01.4373068Z ++ get_pinned_commit vision 2025-12-04T08:53:01.4373405Z ++ cat .github/ci_commit_pins/vision.txt 2025-12-04T08:53:01.4391326Z + commit=617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T08:53:01.4391935Z + orig_preload= 2025-12-04T08:53:01.4392171Z + '[' -n '' ']' 2025-12-04T08:53:01.4392592Z + [[ linux-jammy-py3.14-clang12 == *cuda* ]] 2025-12-04T08:53:01.4393315Z + pip_build_and_install git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e dist/vision 2025-12-04T08:53:01.4394358Z + local build_target=git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T08:53:01.4394981Z + local wheel_dir=dist/vision 2025-12-04T08:53:01.4395286Z + local found_whl=0 2025-12-04T08:53:01.4395568Z + for file in "${wheel_dir}"/*.whl 2025-12-04T08:53:01.4395898Z + [[ -f dist/vision/*.whl ]] 2025-12-04T08:53:01.4396188Z + '[' 0 == 0 ']' 2025-12-04T08:53:01.4396921Z + python3 -m pip wheel --no-build-isolation --no-deps -w dist/vision git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T08:53:01.7616061Z Collecting git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T08:53:01.7628451Z Cloning https://github.com/pytorch/vision.git (to revision 617079d944b0e72632311c30ae2bbdf1168b901e) to /tmp/pip-req-build-lu3voj3g 2025-12-04T08:53:01.7796502Z Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-lu3voj3g 2025-12-04T08:53:03.4072936Z Running command git rev-parse -q --verify 'sha^617079d944b0e72632311c30ae2bbdf1168b901e' 2025-12-04T08:53:03.4094893Z Running command git fetch -q https://github.com/pytorch/vision.git 617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T08:53:03.5437536Z Resolved https://github.com/pytorch/vision.git to commit 617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T08:53:05.3053969Z Preparing metadata (pyproject.toml) ... [?25l- \ done 2025-12-04T08:53:05.3087429Z [?25hBuilding wheels for collected packages: torchvision 2025-12-04T08:53:59.3252229Z Building wheel for torchvision (pyproject.toml) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - done 2025-12-04T08:53:59.3292930Z [?25h Created wheel for torchvision: filename=torchvision-0.25.0a0+617079d-cp314-cp314-linux_x86_64.whl size=1162570 sha256=7339dea1efed1cc20a7935627cfe0a643c4eea029fdaaa30ebbfba527f95b9c2 2025-12-04T08:53:59.3297257Z Stored in directory: /var/lib/jenkins/.cache/pip/wheels/81/ea/ac/4eea705c7dceb07802aebda79ffca24339b243347a10b2d5c2 2025-12-04T08:53:59.3334720Z Successfully built torchvision 2025-12-04T08:53:59.4354225Z + for file in "${wheel_dir}"/*.whl 2025-12-04T08:53:59.4354979Z + pip_install_whl dist/vision/torchvision-0.25.0a0+617079d-cp314-cp314-linux_x86_64.whl 2025-12-04T08:53:59.4355873Z + args=('dist/vision/torchvision-0.25.0a0+617079d-cp314-cp314-linux_x86_64.whl') 2025-12-04T08:53:59.4356476Z + local args 2025-12-04T08:53:59.4357030Z + [[ dist/vision/torchvision-0.25.0a0+617079d-cp314-cp314-linux_x86_64.whl == *\ * ]] 2025-12-04T08:53:59.4357673Z + for path in "${args[@]}" 2025-12-04T08:53:59.4358187Z + echo 'Installing dist/vision/torchvision-0.25.0a0+617079d-cp314-cp314-linux_x86_64.whl' 2025-12-04T08:53:59.4359038Z Installing dist/vision/torchvision-0.25.0a0+617079d-cp314-cp314-linux_x86_64.whl 2025-12-04T08:53:59.4360121Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.25.0a0+617079d-cp314-cp314-linux_x86_64.whl 2025-12-04T08:53:59.7673412Z Processing ./dist/vision/torchvision-0.25.0a0+617079d-cp314-cp314-linux_x86_64.whl 2025-12-04T08:53:59.7774584Z Installing collected packages: torchvision 2025-12-04T08:54:00.3295194Z Successfully installed torchvision-0.25.0a0+617079d 2025-12-04T08:54:00.3923801Z + '[' -n '' ']' 2025-12-04T08:54:00.3924073Z + test_python_shard 1 2025-12-04T08:54:00.3924347Z + [[ -z 5 ]] 2025-12-04T08:54:00.3925169Z + python test/run_test.py --exclude-jit-executor --exclude-distributed-tests --exclude-quantization-tests --shard 1 5 --verbose --upload-artifacts-while-running 2025-12-04T08:54:02.7238473Z No TD results found 2025-12-04T08:54:02.7249810Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T08:54:02.7361832Z Found test times from artifacts 2025-12-04T08:54:02.7791843Z Found test times from artifacts 2025-12-04T08:54:02.7807041Z Running all tests 2025-12-04T08:54:02.8168400Z Running parallel tests on 3 processes 2025-12-04T08:54:02.8172575Z Name: tests to run (est. time: 84.08min) 2025-12-04T08:54:02.8172947Z Serial tests (50): 2025-12-04T08:54:02.8173244Z distributions/test_distributions 1/1 2025-12-04T08:54:02.8173601Z doctests 1/1 2025-12-04T08:54:02.8173854Z dynamo/test_fake_distributed 1/1 2025-12-04T08:54:02.8174202Z inductor/test_benchmark_fusion 1/1 2025-12-04T08:54:02.8174551Z inductor/test_cutlass_backend 1/1 2025-12-04T08:54:02.8174909Z inductor/test_distributed_patterns 1/1 2025-12-04T08:54:02.8175252Z inductor/test_flex_attention 1/5 2025-12-04T08:54:02.8175583Z inductor/test_flex_attention 2/5 2025-12-04T08:54:02.8175911Z inductor/test_flex_attention 3/5 2025-12-04T08:54:02.8176224Z inductor/test_flex_attention 4/5 2025-12-04T08:54:02.8176546Z inductor/test_flex_attention 5/5 2025-12-04T08:54:02.8176879Z inductor/test_max_autotune 1/1 2025-12-04T08:54:02.8177188Z nn/test_convolution 1/1 2025-12-04T08:54:02.8177477Z nn/test_pooling 1/1 2025-12-04T08:54:02.8177751Z test_autocast 1/1 2025-12-04T08:54:02.8178012Z test_autograd_fallback 1/1 2025-12-04T08:54:02.8178478Z test_autoload_disable 1/1 2025-12-04T08:54:02.8178791Z test_autoload_enable 1/1 2025-12-04T08:54:02.8179167Z test_ci_sanity_check_fail 1/1 2025-12-04T08:54:02.8179495Z test_cpp_api_parity 1/1 2025-12-04T08:54:02.8179805Z test_cpp_extensions_aot_ninja 1/1 2025-12-04T08:54:02.8180159Z test_cpp_extensions_aot_no_ninja 1/1 2025-12-04T08:54:02.8180510Z test_cpp_extensions_jit 1/1 2025-12-04T08:54:02.8180850Z test_cpp_extensions_mtia_backend 1/1 2025-12-04T08:54:02.8181227Z test_cpp_extensions_stream_and_event 1/1 2025-12-04T08:54:02.8181571Z test_cuda_nvml_based_avail 1/1 2025-12-04T08:54:02.8181916Z test_cuda_primary_ctx 1/1 2025-12-04T08:54:02.8182211Z test_cuda_trace 1/1 2025-12-04T08:54:02.8182485Z test_dispatch 1/1 2025-12-04T08:54:02.8182749Z test_extension_utils 1/1 2025-12-04T08:54:02.8183049Z test_fake_tensor 1/1 2025-12-04T08:54:02.8183620Z test_fx 1/1 2025-12-04T08:54:02.8183870Z test_jit_disabled 1/1 2025-12-04T08:54:02.8184171Z test_mobile_optimizer 1/1 2025-12-04T08:54:02.8184491Z test_multiprocessing 1/1 2025-12-04T08:54:02.8184809Z test_multiprocessing_spawn 1/1 2025-12-04T08:54:02.8185153Z test_namedtuple_return_api 1/1 2025-12-04T08:54:02.8185475Z test_native_mha 1/1 2025-12-04T08:54:02.8185733Z test_nn 1/1 2025-12-04T08:54:02.8185986Z test_overrides 1/1 2025-12-04T08:54:02.8186290Z test_privateuseone_python_backend 1/1 2025-12-04T08:54:02.8186636Z test_python_dispatch 1/1 2025-12-04T08:54:02.8186959Z test_reductions 1/1 2025-12-04T08:54:02.8187233Z test_show_pickle 1/1 2025-12-04T08:54:02.8187502Z test_sort_and_select 1/1 2025-12-04T08:54:02.8187814Z test_spectral_ops 1/1 2025-12-04T08:54:02.8188113Z test_tensor_creation_ops 1/1 2025-12-04T08:54:02.8188410Z test_tensorexpr 1/1 2025-12-04T08:54:02.8188688Z test_torch 1/1 2025-12-04T08:54:02.8188944Z test_utils 1/1 2025-12-04T08:54:02.8189199Z Parallel tests (25): 2025-12-04T08:54:02.8189613Z cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 2025-12-04T08:54:02.8190109Z inductor/test_aot_inductor 1/1 2025-12-04T08:54:02.8190568Z inductor/test_b2b_gemm 1/1 2025-12-04T08:54:02.8190892Z inductor/test_cooperative_reductions 1/1 2025-12-04T08:54:02.8191264Z inductor/test_cudagraph_trees 1/1 2025-12-04T08:54:02.8191597Z inductor/test_flex_flash 1/1 2025-12-04T08:54:02.8191908Z inductor/test_inplace_padding 1/1 2025-12-04T08:54:02.8192252Z inductor/test_loop_ordering 1/1 2025-12-04T08:54:02.8192590Z inductor/test_minifier_isolate 1/1 2025-12-04T08:54:02.8192924Z inductor/test_native_matmul 1/1 2025-12-04T08:54:02.8193253Z inductor/test_padding 1/1 2025-12-04T08:54:02.8193578Z inductor/test_quantization 1/1 2025-12-04T08:54:02.8193907Z inductor/test_snode_runtime 1/1 2025-12-04T08:54:02.8194253Z inductor/test_triton_extension_backend 1/1 2025-12-04T08:54:02.8194622Z nn/attention/test_fa4 1/1 2025-12-04T08:54:02.8194947Z test_cuda_expandable_segments 1/1 2025-12-04T08:54:02.8195272Z test_jit_fuser_te 1/1 2025-12-04T08:54:02.8195563Z test_monitor 1/1 2025-12-04T08:54:02.8195834Z test_namedtensor 1/1 2025-12-04T08:54:02.8196113Z test_native_functions 1/1 2025-12-04T08:54:02.8196424Z test_nestedtensor 1/4 2025-12-04T08:54:02.8196719Z test_ops_gradients 2/2 2025-12-04T08:54:02.8196987Z test_ops_jit 1/2 2025-12-04T08:54:02.8197243Z test_ops_jit 2/2 2025-12-04T08:54:02.8197514Z test_varlen_attention 1/1 2025-12-04T08:54:02.8197812Z Name: excluded (est. time: 0.0min) 2025-12-04T08:54:02.8198123Z Serial tests (0): 2025-12-04T08:54:02.8198385Z Parallel tests (0): 2025-12-04T08:54:02.8198866Z Running distributions/test_distributions 1/1 ... [2025-12-04 08:54:02.817676][1300.127515889] 2025-12-04T08:54:02.8199432Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:54:02.8200824Z Executing ['/opt/conda/envs/py_3.14/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 08:54:02.818055] 2025-12-04T08:54:06.8208074Z 2025-12-04T08:54:06.8209391Z distributions/test_distributions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_distributions_1.1_ca1995bf8842200b_.log 2025-12-04T08:54:06.8230277Z 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 2025-12-04T08:54:06.8250178Z 2025-12-04T08:54:06.8250545Z Finished distributions/test_distributions 1/1 ... [2025-12-04 08:54:06.820727][1304.130564428], took 0.07min 2025-12-04T08:54:06.8251920Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/distributions.test_distributions/distributions.test_distributions-62cb08e3eb4a4efc.xml 2025-12-04T08:54:07.1409819Z Uploading artifacts took 0.12 seconds 2025-12-04T08:54:07.1410737Z Running doctests 1/1 ... [2025-12-04 08:54:07.140841][1304.450677918] 2025-12-04T08:54:07.5272695Z msg = Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py line=368. 2025-12-04T08:54:07.5274598Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:54:07.5275843Z Registers the function implementation as the fallback for the given key. 2025-12-04T08:54:07.5276570Z 2025-12-04T08:54:07.5277018Z This function only works for a library with global namespace ("_"). 2025-12-04T08:54:07.5277678Z 2025-12-04T08:54:07.5277833Z Args: 2025-12-04T08:54:07.5278663Z fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel` 2025-12-04T08:54:07.5279685Z to register a fallthrough. 2025-12-04T08:54:07.5280805Z dispatch_key: dispatch key that the input function should be registered for. By default, it uses 2025-12-04T08:54:07.5281971Z the dispatch key that the library was created with. 2025-12-04T08:54:07.5283229Z with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument 2025-12-04T08:54:07.5285284Z to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls. 2025-12-04T08:54:07.5286192Z 2025-12-04T08:54:07.5286411Z Example:: 2025-12-04T08:54:07.5286677Z 2025-12-04T08:54:07.5286881Z >>> my_lib = Library("_", "IMPL") 2025-12-04T08:54:07.5287568Z >>> def fallback_kernel(op, *args, **kwargs): 2025-12-04T08:54:07.5288266Z >>> # Handle all autocast ops generically 2025-12-04T08:54:07.5288846Z >>> # ... 2025-12-04T08:54:07.5289416Z >>> my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T08:54:07.5290075Z 2025-12-04T08:54:07.5291606Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7)) 2025-12-04T08:54:07.5293070Z 2025-12-04T08:54:07.5293313Z my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T08:54:07.5293937Z ^ 2025-12-04T08:54:07.5412164Z msg = Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py line=958. 2025-12-04T08:54:07.5413900Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:54:07.5415041Z Register a FakeTensor implementation ("fake impl") for this operator. 2025-12-04T08:54:07.5415761Z 2025-12-04T08:54:07.5416107Z Also sometimes known as a "meta kernel", "abstract impl". 2025-12-04T08:54:07.5416708Z 2025-12-04T08:54:07.5417192Z An "FakeTensor implementation" specifies the behavior of this operator on 2025-12-04T08:54:07.5418395Z Tensors that carry no data ("FakeTensor"). Given some input Tensors with 2025-12-04T08:54:07.5419653Z certain properties (sizes/strides/storage_offset/device), it specifies 2025-12-04T08:54:07.5420651Z what the properties of the output Tensors are. 2025-12-04T08:54:07.5421173Z 2025-12-04T08:54:07.5421632Z The FakeTensor implementation has the same signature as the operator. 2025-12-04T08:54:07.5422748Z It is run for both FakeTensors and meta tensors. To write a FakeTensor 2025-12-04T08:54:07.5423842Z implementation, assume that all Tensor inputs to the operator are 2025-12-04T08:54:07.5424913Z regular CPU/CUDA/Meta tensors, but they do not have storage, and 2025-12-04T08:54:07.5425983Z you are trying to return regular CPU/CUDA/Meta tensor(s) as output. 2025-12-04T08:54:07.5427090Z The FakeTensor implementation must consist of only PyTorch operations 2025-12-04T08:54:07.5428180Z (and may not directly access the storage or data of any input or 2025-12-04T08:54:07.5428986Z intermediate Tensors). 2025-12-04T08:54:07.5429690Z 2025-12-04T08:54:07.5429987Z This API may be used as a decorator (see examples). 2025-12-04T08:54:07.5430510Z 2025-12-04T08:54:07.5430787Z For a detailed guide on custom ops, please see 2025-12-04T08:54:07.5431746Z https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html 2025-12-04T08:54:07.5432456Z 2025-12-04T08:54:07.5432608Z Args: 2025-12-04T08:54:07.5433264Z op_name: Operator name (along with the overload) or OpOverload object. 2025-12-04T08:54:07.5434175Z func: Fake tensor implementation. 2025-12-04T08:54:07.5434992Z lib (Optional[Library]): Library to register the fake tensor to. 2025-12-04T08:54:07.5435990Z allow_override: Flag controlling if we want to override an 2025-12-04T08:54:07.5436900Z existing registered fake impl. This is by default off, 2025-12-04T08:54:07.5437820Z and will error you're trying to register a fake impl to 2025-12-04T08:54:07.5438760Z an operator that already has a fake impl. This also only 2025-12-04T08:54:07.5439660Z applies if the custom operator was not created via 2025-12-04T08:54:07.5440584Z torch.library.custom_op, as overriding and existing fake 2025-12-04T08:54:07.5441573Z impl is already allowed. 2025-12-04T08:54:07.5442037Z 2025-12-04T08:54:07.5442196Z Examples: 2025-12-04T08:54:07.5442619Z >>> import torch 2025-12-04T08:54:07.5443113Z >>> import numpy as np 2025-12-04T08:54:07.5443679Z >>> from torch import Tensor 2025-12-04T08:54:07.5444248Z >>> 2025-12-04T08:54:07.5444824Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T08:54:07.5445879Z >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=()) 2025-12-04T08:54:07.5446986Z >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T08:54:07.5448023Z >>> raise NotImplementedError("Implementation goes here") 2025-12-04T08:54:07.5448759Z >>> 2025-12-04T08:54:07.5449316Z >>> @torch.library.register_fake("mylib::custom_linear") 2025-12-04T08:54:07.5450079Z >>> def _(x, weight, bias): 2025-12-04T08:54:07.5450643Z >>> assert x.dim() == 2 2025-12-04T08:54:07.5451230Z >>> assert weight.dim() == 2 2025-12-04T08:54:07.5451851Z >>> assert bias.dim() == 1 2025-12-04T08:54:07.5452494Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T08:54:07.5453197Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T08:54:07.5453898Z >>> assert x.device == weight.device 2025-12-04T08:54:07.5454473Z >>> 2025-12-04T08:54:07.5454861Z >>> return (x @ weight.t()) + bias 2025-12-04T08:54:07.5455471Z >>> 2025-12-04T08:54:07.5456006Z >>> with torch._subclasses.fake_tensor.FakeTensorMode(): 2025-12-04T08:54:07.5456759Z >>> x = torch.randn(2, 3) 2025-12-04T08:54:07.5457340Z >>> w = torch.randn(3, 3) 2025-12-04T08:54:07.5457921Z >>> b = torch.randn(3) 2025-12-04T08:54:07.5458528Z >>> y = torch.ops.mylib.custom_linear(x, w, b) 2025-12-04T08:54:07.5459278Z >>> 2025-12-04T08:54:07.5459699Z >>> assert y.shape == (2, 3) 2025-12-04T08:54:07.5460239Z >>> 2025-12-04T08:54:07.5460756Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T08:54:07.5461734Z >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=()) 2025-12-04T08:54:07.5462655Z >>> def custom_nonzero(x: Tensor) -> Tensor: 2025-12-04T08:54:07.5463329Z >>> x_np = x.numpy(force=True) 2025-12-04T08:54:07.5464009Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T08:54:07.5464740Z >>> return torch.tensor(res, device=x.device) 2025-12-04T08:54:07.5465384Z >>> 2025-12-04T08:54:07.5466093Z >>> @torch.library.register_fake("mylib::custom_nonzero") 2025-12-04T08:54:07.5466833Z >>> def _(x): 2025-12-04T08:54:07.5467401Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T08:54:07.5468198Z >>> # Since we cannot peek at the data in an fake impl, 2025-12-04T08:54:07.5469043Z >>> # we use the ctx object to construct a new symint that 2025-12-04T08:54:07.5469819Z >>> # represents the data-dependent size. 2025-12-04T08:54:07.5470521Z >>> ctx = torch.library.get_ctx() 2025-12-04T08:54:07.5471162Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T08:54:07.5471789Z >>> shape = [nnz, x.dim()] 2025-12-04T08:54:07.5472483Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T08:54:07.5473170Z >>> return result 2025-12-04T08:54:07.5473681Z >>> 2025-12-04T08:54:07.5474249Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2025-12-04T08:54:07.5474984Z >>> 2025-12-04T08:54:07.5475426Z >>> x = torch.tensor([0, 1, 2, 3, 4, 0]) 2025-12-04T08:54:07.5476346Z >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x) 2025-12-04T08:54:07.5477267Z >>> trace.print_readable() 2025-12-04T08:54:07.5477927Z >>> 2025-12-04T08:54:07.5478590Z >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x)) 2025-12-04T08:54:07.5479250Z 2025-12-04T08:54:07.5479410Z 2025-12-04T08:54:07.5480576Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('', 38, 1, '_._ = None\n', 38, 2)) 2025-12-04T08:54:07.5481894Z 2025-12-04T08:54:07.5482060Z _._ = None 2025-12-04T08:54:07.5482450Z ^ 2025-12-04T08:54:07.5568577Z msg = Cannot scrape callname=get_kernel in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py line=1530. 2025-12-04T08:54:07.5570237Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:54:07.5571372Z Returns the computed kernel for a given operator and dispatch key. 2025-12-04T08:54:07.5572007Z 2025-12-04T08:54:07.5572466Z This function retrieves the kernel that would be executed for a given 2025-12-04T08:54:07.5573614Z operator and dispatch key combination. The returned SafeKernelFunction 2025-12-04T08:54:07.5574723Z can be used to call the kernel in a boxed fashion. The intended use 2025-12-04T08:54:07.5575765Z case for this function is to retrieve the original kernel for a given 2025-12-04T08:54:07.5576869Z dispatch key and then register another kernel to the same dispatch key 2025-12-04T08:54:07.5577861Z that calls into the original kernel for certain cases. 2025-12-04T08:54:07.5578431Z 2025-12-04T08:54:07.5578593Z Args: 2025-12-04T08:54:07.5579287Z op: Operator name (along with the overload) or OpOverload object 2025-12-04T08:54:07.5580370Z Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef. 2025-12-04T08:54:07.5581583Z dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for. 2025-12-04T08:54:07.5582728Z Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value. 2025-12-04T08:54:07.5583351Z 2025-12-04T08:54:07.5583532Z Returns: 2025-12-04T08:54:07.5584235Z torch._C._SafeKernelFunction: A safe kernel function that can be used to 2025-12-04T08:54:07.5585152Z call the kernel. 2025-12-04T08:54:07.5585500Z 2025-12-04T08:54:07.5585672Z Raises: 2025-12-04T08:54:07.5586160Z RuntimeError: If the operator does not exist. 2025-12-04T08:54:07.5586689Z 2025-12-04T08:54:07.5586846Z Example: 2025-12-04T08:54:07.5587324Z >>> # Get the CPU kernel for torch.add 2025-12-04T08:54:07.5588155Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU") 2025-12-04T08:54:07.5588916Z >>> 2025-12-04T08:54:07.5589372Z >>> # You can also use DispatchKey enum 2025-12-04T08:54:07.5590579Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU) 2025-12-04T08:54:07.5591501Z >>> 2025-12-04T08:54:07.5591932Z >>> # Or use an OpOverload directly 2025-12-04T08:54:07.5592810Z >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU") 2025-12-04T08:54:07.5593672Z >>> 2025-12-04T08:54:07.5594306Z >>> # Example: Using get_kernel in a custom op with conditional dispatch 2025-12-04T08:54:07.5595220Z >>> # Get the original kernel for torch.sin 2025-12-04T08:54:07.5596123Z >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU") 2025-12-04T08:54:07.5596957Z >>> 2025-12-04T08:54:07.5597624Z >>> # If input has negative values, use original sin, otherwise return zeros 2025-12-04T08:54:07.5598595Z >>> def conditional_sin_impl(dispatch_keys, x): 2025-12-04T08:54:07.5599275Z >>> if (x < 0).any(): 2025-12-04T08:54:07.5599989Z >>> return original_sin_kernel.call_boxed(dispatch_keys, x) 2025-12-04T08:54:07.5600770Z >>> else: 2025-12-04T08:54:07.5601272Z >>> return torch.zeros_like(x) 2025-12-04T08:54:07.5602282Z >>> 2025-12-04T08:54:07.5602774Z >>> lib = torch.library.Library("aten", "IMPL") 2025-12-04T08:54:07.5604000Z >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet 2025-12-04T08:54:07.5605142Z >>> which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T08:54:07.5606117Z >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True) 2025-12-04T08:54:07.5606902Z >>> 2025-12-04T08:54:07.5607347Z >>> # Test the conditional behavior 2025-12-04T08:54:07.5607940Z >>> x_positive = torch.tensor([1.0, 2.0]) 2025-12-04T08:54:07.5608576Z >>> x_mixed = torch.tensor([-1.0, 2.0]) 2025-12-04T08:54:07.5609207Z >>> torch.sin(x_positive) 2025-12-04T08:54:07.5609739Z tensor([0., 0.]) 2025-12-04T08:54:07.5610226Z >>> torch.sin(x_mixed) 2025-12-04T08:54:07.5610762Z tensor([-0.8415, 0.9093]) 2025-12-04T08:54:07.5611258Z 2025-12-04T08:54:07.5612337Z Original Error: SyntaxError('invalid syntax', ('', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12)) 2025-12-04T08:54:07.5613592Z 2025-12-04T08:54:07.5613947Z which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T08:54:07.5614701Z ^ 2025-12-04T08:54:07.7252961Z msg = Cannot scrape callname=is_available in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/accelerator/__init__.py line=70. 2025-12-04T08:54:07.7254801Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:54:07.7255924Z Check if the current accelerator is available at runtime: it was build, all the 2025-12-04T08:54:07.7257104Z required drivers are available and at least one device is visible. 2025-12-04T08:54:07.7258030Z See :ref:`accelerator` for details. 2025-12-04T08:54:07.7258518Z 2025-12-04T08:54:07.7258750Z Returns: 2025-12-04T08:54:07.7259594Z bool: A boolean indicating if there is an available :ref:`accelerator`. 2025-12-04T08:54:07.7260398Z 2025-12-04T08:54:07.7260861Z .. note:: This API delegates to the device-specific version of `is_available`. 2025-12-04T08:54:07.7262083Z On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set, 2025-12-04T08:54:07.7263345Z this function will NOT poison fork. Otherwise, it will. For more details, see 2025-12-04T08:54:07.7264365Z :ref:`multiprocessing-poison-fork-note`. 2025-12-04T08:54:07.7264844Z 2025-12-04T08:54:07.7265023Z Example:: 2025-12-04T08:54:07.7265238Z 2025-12-04T08:54:07.7265772Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T08:54:07.7266602Z 2025-12-04T08:54:07.7268307Z Original Error: SyntaxError('invalid syntax', ('', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78)) 2025-12-04T08:54:07.7269691Z 2025-12-04T08:54:07.7270209Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T08:54:07.7271150Z ^ 2025-12-04T08:54:07.7288632Z msg = Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/accelerator/__init__.py line=239. 2025-12-04T08:54:07.7290499Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:54:07.7291657Z Wait for all kernels in all streams on the given device to complete. 2025-12-04T08:54:07.7292305Z 2025-12-04T08:54:07.7292467Z Args: 2025-12-04T08:54:07.7293267Z device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match 2025-12-04T08:54:07.7294556Z the current :ref:`accelerator` device type. If not given, 2025-12-04T08:54:07.7295630Z use :func:`torch.accelerator.current_device_index` by default. 2025-12-04T08:54:07.7296239Z 2025-12-04T08:54:07.7296832Z .. note:: This function is a no-op if the current :ref:`accelerator` is not initialized. 2025-12-04T08:54:07.7297602Z 2025-12-04T08:54:07.7298069Z Example:: 2025-12-04T08:54:07.7298332Z 2025-12-04T08:54:07.7298580Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-12-04T08:54:07.7299627Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T08:54:07.7300601Z >>> start_event = torch.Event(enable_timing=True) 2025-12-04T08:54:07.7301312Z >>> end_event = torch.Event(enable_timing=True) 2025-12-04T08:54:07.7302263Z >>> start_event.record() 2025-12-04T08:54:07.7303048Z >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator()) 2025-12-04T08:54:07.7303871Z >>> sum = torch.sum(tensor) 2025-12-04T08:54:07.7304422Z >>> end_event.record() 2025-12-04T08:54:07.7304975Z >>> torch.accelerator.synchronize() 2025-12-04T08:54:07.7305709Z >>> elapsed_time_ms = start_event.elapsed_time(end_event) 2025-12-04T08:54:07.7306372Z 2025-12-04T08:54:07.7307642Z Original Error: SyntaxError('invalid syntax', ('', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78)) 2025-12-04T08:54:07.7308977Z 2025-12-04T08:54:07.7309494Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T08:54:07.7310349Z ^ 2025-12-04T08:54:07.7577163Z msg = Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/__init__.py line=448. 2025-12-04T08:54:07.7579022Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:54:07.7579988Z Retrieves the CUDA runtime API module. 2025-12-04T08:54:07.7580425Z 2025-12-04T08:54:07.7580455Z 2025-12-04T08:54:07.7580978Z This function initializes the CUDA runtime environment if it is not already 2025-12-04T08:54:07.7582183Z initialized and returns the CUDA runtime API module (_cudart). The CUDA 2025-12-04T08:54:07.7583316Z runtime API module provides access to various CUDA runtime functions. 2025-12-04T08:54:07.7584033Z 2025-12-04T08:54:07.7584186Z Args: 2025-12-04T08:54:07.7584567Z ``None`` 2025-12-04T08:54:07.7584828Z 2025-12-04T08:54:07.7584981Z Returns: 2025-12-04T08:54:07.7585485Z module: The CUDA runtime API module (_cudart). 2025-12-04T08:54:07.7585996Z 2025-12-04T08:54:07.7586154Z Raises: 2025-12-04T08:54:07.7586831Z RuntimeError: If CUDA cannot be re-initialized in a forked subprocess. 2025-12-04T08:54:07.7588232Z AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable. 2025-12-04T08:54:07.7589211Z 2025-12-04T08:54:07.7589457Z Example of CUDA operations with profiling: 2025-12-04T08:54:07.7590115Z >>> import torch 2025-12-04T08:54:07.7590958Z >>> from torch.cuda import cudart, check_error 2025-12-04T08:54:07.7591628Z >>> import os 2025-12-04T08:54:07.7592069Z >>> 2025-12-04T08:54:07.7592498Z >>> os.environ["CUDA_PROFILE"] = "1" 2025-12-04T08:54:07.7593105Z >>> 2025-12-04T08:54:07.7593590Z >>> def perform_cuda_operations_with_streams(): 2025-12-04T08:54:07.7594294Z >>> stream = torch.cuda.Stream() 2025-12-04T08:54:07.7594933Z >>> with torch.cuda.stream(stream): 2025-12-04T08:54:07.7595618Z >>> x = torch.randn(100, 100, device='cuda') 2025-12-04T08:54:07.7596322Z >>> y = torch.randn(100, 100, device='cuda') 2025-12-04T08:54:07.7596963Z >>> z = torch.mul(x, y) 2025-12-04T08:54:07.7597527Z >>> return z 2025-12-04T08:54:07.7597980Z >>> 2025-12-04T08:54:07.7598390Z >>> torch.cuda.synchronize() 2025-12-04T08:54:07.7599037Z >>> print("====== Start nsys profiling ======") 2025-12-04T08:54:07.7599786Z >>> check_error(cudart().cudaProfilerStart()) 2025-12-04T08:54:07.7600519Z >>> with torch.autograd.profiler.emit_nvtx(): 2025-12-04T08:54:07.7601284Z >>> result = perform_cuda_operations_with_streams() 2025-12-04T08:54:07.7602418Z >>> print("CUDA operations completed.") 2025-12-04T08:54:07.7602853Z >>> check_error(torch.cuda.cudart().cudaProfilerStop()) 2025-12-04T08:54:07.7603269Z >>> print("====== End nsys profiling ======") 2025-12-04T08:54:07.7603534Z 2025-12-04T08:54:07.7603741Z To run this example and save the profiling information, execute: 2025-12-04T08:54:07.7604468Z >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T08:54:07.7604967Z 2025-12-04T08:54:07.7605237Z This command profiles the CUDA operations in the provided script and saves 2025-12-04T08:54:07.7605816Z the profiling information to a file named `trace_name.prof`. 2025-12-04T08:54:07.7606412Z The `--profile-from-start off` option ensures that profiling starts only 2025-12-04T08:54:07.7606937Z after the `cudaProfilerStart` call in the script. 2025-12-04T08:54:07.7607432Z The `--csv` and `--print-summary` options format the profiling output as a 2025-12-04T08:54:07.7607940Z CSV file and print a summary, respectively. 2025-12-04T08:54:07.7608453Z The `-o` option specifies the output file name, and the `-f` option forces the 2025-12-04T08:54:07.7608995Z overwrite of the output file if it already exists. 2025-12-04T08:54:07.7609348Z 2025-12-04T08:54:07.7610152Z 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)) 2025-12-04T08:54:07.7610947Z 2025-12-04T08:54:07.7611322Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T08:54:07.7611889Z ^ 2025-12-04T08:54:08.6480743Z msg = Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/apis.py line=39. 2025-12-04T08:54:08.6481738Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:54:08.6482137Z 2025-12-04T08:54:08.6482366Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that 2025-12-04T08:54:08.6482931Z maps ``func`` over some dimension of the inputs. Semantically, vmap 2025-12-04T08:54:08.6483496Z pushes the map into PyTorch operations called by ``func``, effectively 2025-12-04T08:54:08.6483955Z vectorizing those operations. 2025-12-04T08:54:08.6484169Z 2025-12-04T08:54:08.6484394Z vmap is useful for handling batch dimensions: one can write a function 2025-12-04T08:54:08.6484954Z ``func`` that runs on examples and then lift it to a function that can 2025-12-04T08:54:08.6485513Z take batches of examples with ``vmap(func)``. vmap can also be used to 2025-12-04T08:54:08.6486025Z compute batched gradients when composed with autograd. 2025-12-04T08:54:08.6486329Z 2025-12-04T08:54:08.6486688Z .. note:: 2025-12-04T08:54:08.6487026Z :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for 2025-12-04T08:54:08.6487469Z convenience. Use whichever one you'd like. 2025-12-04T08:54:08.6487742Z 2025-12-04T08:54:08.6487827Z Args: 2025-12-04T08:54:08.6488176Z func (function): A Python function that takes one or more arguments. 2025-12-04T08:54:08.6488639Z Must return one or more Tensors. 2025-12-04T08:54:08.6489065Z in_dims (int or nested structure): Specifies which dimension of the 2025-12-04T08:54:08.6489580Z inputs should be mapped over. ``in_dims`` should have a 2025-12-04T08:54:08.6490088Z structure like the inputs. If the ``in_dim`` for a particular 2025-12-04T08:54:08.6490590Z input is None, then that indicates there is no map dimension. 2025-12-04T08:54:08.6491003Z Default: 0. 2025-12-04T08:54:08.6491361Z out_dims (int or Tuple[int]): Specifies where the mapped dimension 2025-12-04T08:54:08.6491883Z should appear in the outputs. If ``out_dims`` is a Tuple, then 2025-12-04T08:54:08.6492370Z it should have one element per output. Default: 0. 2025-12-04T08:54:08.6492842Z randomness (str): Specifies whether the randomness in this 2025-12-04T08:54:08.6493494Z vmap should be the same or different across batches. If 'different', 2025-12-04T08:54:08.6494037Z the randomness for each batch will be different. If 'same', the 2025-12-04T08:54:08.6494600Z randomness will be the same across batches. If 'error', any calls to 2025-12-04T08:54:08.6495170Z random functions will error. Default: 'error'. WARNING: this flag 2025-12-04T08:54:08.6495715Z only applies to random PyTorch operations and does not apply to 2025-12-04T08:54:08.6496191Z Python's random module or numpy randomness. 2025-12-04T08:54:08.6496688Z chunk_size (None or int): If None (default), apply a single vmap over inputs. 2025-12-04T08:54:08.6497287Z If not None, then compute the vmap :attr:`chunk_size` samples at a time. 2025-12-04T08:54:08.6497901Z Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop. 2025-12-04T08:54:08.6498572Z If you run into memory issues computing the vmap, please try a non-None chunk_size. 2025-12-04T08:54:08.6499053Z 2025-12-04T08:54:08.6499157Z Returns: 2025-12-04T08:54:08.6499482Z Returns a new "batched" function. It takes the same inputs as 2025-12-04T08:54:08.6499979Z ``func``, except each input has an extra dimension at the index 2025-12-04T08:54:08.6500495Z specified by ``in_dims``. It takes returns the same outputs as 2025-12-04T08:54:08.6501011Z ``func``, except each output has an extra dimension at the index 2025-12-04T08:54:08.6501427Z specified by ``out_dims``. 2025-12-04T08:54:08.6501935Z 2025-12-04T08:54:08.6502026Z .. warning: 2025-12-04T08:54:08.6502367Z :func:`vmap` works best with functional-style code. Please do not 2025-12-04T08:54:08.6502888Z perform any side-effects in ``func``, with the exception of 2025-12-04T08:54:08.6503452Z in-place PyTorch operations. Examples of side-effects include mutating 2025-12-04T08:54:08.6504061Z Python data structures and assigning values to variables not captured 2025-12-04T08:54:08.6504524Z in ``func``. 2025-12-04T08:54:08.6504666Z 2025-12-04T08:54:08.6504908Z One example of using :func:`vmap` is to compute batched dot products. PyTorch 2025-12-04T08:54:08.6505508Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully 2025-12-04T08:54:08.6506093Z rummaging through docs, use :func:`vmap` to construct a new function. 2025-12-04T08:54:08.6506442Z 2025-12-04T08:54:08.6506587Z >>> torch.dot # [D], [D] -> [] 2025-12-04T08:54:08.6507001Z >>> batched_dot = torch.func.vmap(torch.dot) # [N, D], [N, D] -> [N] 2025-12-04T08:54:08.6507474Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T08:54:08.6507835Z >>> batched_dot(x, y) 2025-12-04T08:54:08.6508009Z 2025-12-04T08:54:08.6508390Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler 2025-12-04T08:54:08.6508876Z model authoring experience. 2025-12-04T08:54:08.6509065Z 2025-12-04T08:54:08.6509199Z >>> batch_size, feature_size = 3, 5 2025-12-04T08:54:08.6509602Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T08:54:08.6509999Z >>> 2025-12-04T08:54:08.6510231Z >>> def model(feature_vec): 2025-12-04T08:54:08.6510560Z >>> # Very simple linear model with activation 2025-12-04T08:54:08.6510931Z >>> return feature_vec.dot(weights).relu() 2025-12-04T08:54:08.6511270Z >>> 2025-12-04T08:54:08.6511547Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T08:54:08.6511938Z >>> result = torch.vmap(model)(examples) 2025-12-04T08:54:08.6512184Z 2025-12-04T08:54:08.6512440Z :func:`vmap` can also help vectorize computations that were previously difficult 2025-12-04T08:54:08.6513069Z or impossible to batch. One example is higher-order gradient computation. 2025-12-04T08:54:08.6513686Z The PyTorch autograd engine computes vjps (vector-Jacobian products). 2025-12-04T08:54:08.6514274Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually 2025-12-04T08:54:08.6514997Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`, 2025-12-04T08:54:08.6515626Z we can vectorize the whole computation, computing the Jacobian in a single 2025-12-04T08:54:08.6516097Z call to ``autograd.grad``. 2025-12-04T08:54:08.6516295Z 2025-12-04T08:54:08.6516385Z >>> # Setup 2025-12-04T08:54:08.6516621Z >>> N = 5 2025-12-04T08:54:08.6516844Z >>> f = lambda x: x**2 2025-12-04T08:54:08.6517148Z >>> x = torch.randn(N, requires_grad=True) 2025-12-04T08:54:08.6517480Z >>> y = f(x) 2025-12-04T08:54:08.6517707Z >>> I_N = torch.eye(N) 2025-12-04T08:54:08.6517968Z >>> 2025-12-04T08:54:08.6518194Z >>> # Sequential approach 2025-12-04T08:54:08.6518612Z >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0] 2025-12-04T08:54:08.6519069Z >>> for v in I_N.unbind()] 2025-12-04T08:54:08.6519432Z >>> jacobian = torch.stack(jacobian_rows) 2025-12-04T08:54:08.6519761Z >>> 2025-12-04T08:54:08.6519986Z >>> # vectorized gradient computation 2025-12-04T08:54:08.6520323Z >>> def get_vjp(v): 2025-12-04T08:54:08.6520622Z >>> return torch.autograd.grad(y, x, v) 2025-12-04T08:54:08.6520980Z >>> jacobian = torch.vmap(get_vjp)(I_N) 2025-12-04T08:54:08.6521232Z 2025-12-04T08:54:08.6521504Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions 2025-12-04T08:54:08.6521914Z 2025-12-04T08:54:08.6522026Z >>> torch.dot # [D], [D] -> [] 2025-12-04T08:54:08.6522349Z >>> batched_dot = torch.vmap( 2025-12-04T08:54:08.6522656Z ... torch.vmap(torch.dot) 2025-12-04T08:54:08.6522981Z ... ) # [N1, N0, D], [N1, N0, D] -> [N1, N0] 2025-12-04T08:54:08.6523360Z >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5) 2025-12-04T08:54:08.6523748Z >>> batched_dot(x, y) # tensor of size [2, 3] 2025-12-04T08:54:08.6524005Z 2025-12-04T08:54:08.6524250Z If the inputs are not batched along the first dimension, ``in_dims`` specifies 2025-12-04T08:54:08.6524783Z the dimension that each inputs are batched along as 2025-12-04T08:54:08.6525063Z 2025-12-04T08:54:08.6525184Z >>> torch.dot # [N], [N] -> [] 2025-12-04T08:54:08.6525612Z >>> batched_dot = torch.vmap(torch.dot, in_dims=1) # [N, D], [N, D] -> [D] 2025-12-04T08:54:08.6526099Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T08:54:08.6526450Z >>> batched_dot( 2025-12-04T08:54:08.6526686Z ... x, y 2025-12-04T08:54:08.6527028Z ... ) # output is [5] instead of [2] if batched along the 0th dimension 2025-12-04T08:54:08.6527347Z 2025-12-04T08:54:08.6527629Z If there are multiple inputs each of which is batched along different dimensions, 2025-12-04T08:54:08.6528242Z ``in_dims`` must be a tuple with the batch dimension for each input as 2025-12-04T08:54:08.6528566Z 2025-12-04T08:54:08.6528743Z >>> torch.dot # [D], [D] -> [] 2025-12-04T08:54:08.6529208Z >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None)) # [N, D], [D] -> [N] 2025-12-04T08:54:08.6529716Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T08:54:08.6530051Z >>> batched_dot( 2025-12-04T08:54:08.6530302Z ... x, y 2025-12-04T08:54:08.6530650Z ... ) # second arg doesn't have a batch dim because in_dim[1] was None 2025-12-04T08:54:08.6530971Z 2025-12-04T08:54:08.6531217Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct 2025-12-04T08:54:08.6531706Z matching the shape of the input: 2025-12-04T08:54:08.6531923Z 2025-12-04T08:54:08.6532066Z >>> f = lambda dict: torch.dot(dict["x"], dict["y"]) 2025-12-04T08:54:08.6532460Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T08:54:08.6532797Z >>> input = {"x": x, "y": y} 2025-12-04T08:54:08.6533179Z >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},)) 2025-12-04T08:54:08.6533595Z >>> batched_dot(input) 2025-12-04T08:54:08.6533771Z 2025-12-04T08:54:08.6534053Z By default, the output is batched along the first dimension. However, it can be batched 2025-12-04T08:54:08.6534592Z along any dimension by using ``out_dims`` 2025-12-04T08:54:08.6535640Z 2025-12-04T08:54:08.6535742Z >>> f = lambda x: x**2 2025-12-04T08:54:08.6536028Z >>> x = torch.randn(2, 5) 2025-12-04T08:54:08.6536337Z >>> batched_pow = torch.vmap(f, out_dims=1) 2025-12-04T08:54:08.6536699Z >>> batched_pow(x) # [5, 2] 2025-12-04T08:54:08.6536891Z 2025-12-04T08:54:08.6537206Z For any function that uses kwargs, the returned function will not batch the kwargs but will 2025-12-04T08:54:08.6537718Z accept kwargs 2025-12-04T08:54:08.6537866Z 2025-12-04T08:54:08.6537968Z >>> x = torch.randn([2, 5]) 2025-12-04T08:54:08.6538265Z >>> def fn(x, scale=4.): 2025-12-04T08:54:08.6538555Z >>> return x * scale 2025-12-04T08:54:08.6538927Z >>> 2025-12-04T08:54:08.6539176Z >>> batched_pow = torch.vmap(fn) 2025-12-04T08:54:08.6539539Z >>> assert torch.allclose(batched_pow(x), x * 4) 2025-12-04T08:54:08.6540028Z >>> batched_pow(x, scale=x) # scale is not batched, output has shape [2, 2, 5] 2025-12-04T08:54:08.6540405Z 2025-12-04T08:54:08.6540511Z .. note:: 2025-12-04T08:54:08.6540887Z vmap does not provide general autobatching or handle variable-length 2025-12-04T08:54:08.6541357Z sequences out of the box. 2025-12-04T08:54:08.6541551Z 2025-12-04T08:54:08.6542117Z Original Error: IndentationError('expected an indented block after function definition on line 4', ('', 5, 1, '_._ = None\n', 5, 2)) 2025-12-04T08:54:08.6542776Z 2025-12-04T08:54:08.6542867Z _._ = None 2025-12-04T08:54:08.6543093Z ^ 2025-12-04T08:54:08.6543755Z msg = Cannot scrape callname=grad in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/apis.py line=306. 2025-12-04T08:54:08.6544638Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:54:08.6545267Z ``grad`` operator helps computing gradients of ``func`` with respect to the 2025-12-04T08:54:08.6545853Z input(s) specified by ``argnums``. This operator can be nested to 2025-12-04T08:54:08.6546318Z compute higher-order gradients. 2025-12-04T08:54:08.6546537Z 2025-12-04T08:54:08.6546643Z Args: 2025-12-04T08:54:08.6546992Z func (Callable): A Python function that takes one or more arguments. 2025-12-04T08:54:08.6547623Z Must return a single-element Tensor. If specified ``has_aux`` equals ``True``, 2025-12-04T08:54:08.6548318Z function can return a tuple of single-element Tensor and other auxiliary objects: 2025-12-04T08:54:08.6548826Z ``(output, aux)``. 2025-12-04T08:54:08.6549315Z argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to. 2025-12-04T08:54:08.6549946Z ``argnums`` can be single integer or tuple of integers. Default: 0. 2025-12-04T08:54:08.6550600Z has_aux (bool): Flag indicating that ``func`` returns a tensor and other 2025-12-04T08:54:08.6551117Z auxiliary objects: ``(output, aux)``. Default: False. 2025-12-04T08:54:08.6551420Z 2025-12-04T08:54:08.6551508Z Returns: 2025-12-04T08:54:08.6562217Z Function to compute gradients with respect to its inputs. By default, the output of 2025-12-04T08:54:08.6562922Z the function is the gradient tensor(s) with respect to the first argument. 2025-12-04T08:54:08.6563575Z If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects 2025-12-04T08:54:08.6564250Z is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with 2025-12-04T08:54:08.6564793Z respect to each ``argnums`` value is returned. 2025-12-04T08:54:08.6565054Z 2025-12-04T08:54:08.6565178Z Example of using ``grad``: 2025-12-04T08:54:08.6565375Z 2025-12-04T08:54:08.6565478Z >>> # xdoctest: +SKIP 2025-12-04T08:54:08.6565807Z >>> from torch.func import grad 2025-12-04T08:54:08.6566125Z >>> x = torch.randn([]) 2025-12-04T08:54:08.6566429Z >>> cos_x = grad(lambda x: torch.sin(x))(x) 2025-12-04T08:54:08.6566814Z >>> assert torch.allclose(cos_x, x.cos()) 2025-12-04T08:54:08.6567272Z >>> 2025-12-04T08:54:08.6567500Z >>> # Second-order gradients 2025-12-04T08:54:08.6567878Z >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x) 2025-12-04T08:54:08.6568310Z >>> assert torch.allclose(neg_sin_x, -x.sin()) 2025-12-04T08:54:08.6568564Z 2025-12-04T08:54:08.6568833Z When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients: 2025-12-04T08:54:08.6569219Z 2025-12-04T08:54:08.6569321Z >>> # xdoctest: +SKIP 2025-12-04T08:54:08.6569635Z >>> from torch.func import grad, vmap 2025-12-04T08:54:08.6569990Z >>> batch_size, feature_size = 3, 5 2025-12-04T08:54:08.6570296Z >>> 2025-12-04T08:54:08.6570542Z >>> def model(weights, feature_vec): 2025-12-04T08:54:08.6570917Z >>> # Very simple linear model with activation 2025-12-04T08:54:08.6571279Z >>> assert feature_vec.dim() == 1 2025-12-04T08:54:08.6571646Z >>> return feature_vec.dot(weights).relu() 2025-12-04T08:54:08.6571991Z >>> 2025-12-04T08:54:08.6572267Z >>> def compute_loss(weights, example, target): 2025-12-04T08:54:08.6572628Z >>> y = model(weights, example) 2025-12-04T08:54:08.6572998Z >>> return ((y - target) ** 2).mean() # MSELoss 2025-12-04T08:54:08.6573349Z >>> 2025-12-04T08:54:08.6573645Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T08:54:08.6574105Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T08:54:08.6574506Z >>> targets = torch.randn(batch_size) 2025-12-04T08:54:08.6574859Z >>> inputs = (weights, examples, targets) 2025-12-04T08:54:08.6575350Z >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))( 2025-12-04T08:54:08.6575824Z ... *inputs 2025-12-04T08:54:08.6576074Z ... ) 2025-12-04T08:54:08.6576203Z 2025-12-04T08:54:08.6576386Z Example of using ``grad`` with ``has_aux`` and ``argnums``: 2025-12-04T08:54:08.6576705Z 2025-12-04T08:54:08.6576809Z >>> # xdoctest: +SKIP 2025-12-04T08:54:08.6577119Z >>> from torch.func import grad 2025-12-04T08:54:08.6577444Z >>> def my_loss_func(y, y_pred): 2025-12-04T08:54:08.6577806Z >>> loss_per_sample = (0.5 * y_pred - y) ** 2 2025-12-04T08:54:08.6578183Z >>> loss = loss_per_sample.mean() 2025-12-04T08:54:08.6578537Z >>> return loss, (y_pred, loss_per_sample) 2025-12-04T08:54:08.6578998Z >>> 2025-12-04T08:54:08.6579288Z >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True) 2025-12-04T08:54:08.6579678Z >>> y_true = torch.rand(4) 2025-12-04T08:54:08.6580013Z >>> y_preds = torch.rand(4, requires_grad=True) 2025-12-04T08:54:08.6580465Z >>> out = fn(y_true, y_preds) 2025-12-04T08:54:08.6580949Z >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample)) 2025-12-04T08:54:08.6581323Z 2025-12-04T08:54:08.6581431Z .. note:: 2025-12-04T08:54:08.6581758Z Using PyTorch ``torch.no_grad`` together with ``grad``. 2025-12-04T08:54:08.6582053Z 2025-12-04T08:54:08.6582220Z Case 1: Using ``torch.no_grad`` inside a function: 2025-12-04T08:54:08.6582489Z 2025-12-04T08:54:08.6582610Z >>> # xdoctest: +SKIP 2025-12-04T08:54:08.6582900Z >>> def f(x): 2025-12-04T08:54:08.6583184Z >>> with torch.no_grad(): 2025-12-04T08:54:08.6583515Z >>> c = x ** 2 2025-12-04T08:54:08.6583812Z >>> return x - c 2025-12-04T08:54:08.6584014Z 2025-12-04T08:54:08.6584219Z In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``. 2025-12-04T08:54:08.6584551Z 2025-12-04T08:54:08.6584760Z Case 2: Using ``grad`` inside ``torch.no_grad`` context manager: 2025-12-04T08:54:08.6585074Z 2025-12-04T08:54:08.6585192Z >>> # xdoctest: +SKIP 2025-12-04T08:54:08.6585493Z >>> with torch.no_grad(): 2025-12-04T08:54:08.6585805Z >>> grad(f)(x) 2025-12-04T08:54:08.6586050Z 2025-12-04T08:54:08.6586295Z In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the 2025-12-04T08:54:08.6586875Z outer one. This is because ``grad`` is a "function transform": its result 2025-12-04T08:54:08.6587462Z should not depend on the result of a context manager outside of ``f``. 2025-12-04T08:54:08.6587822Z 2025-12-04T08:54:08.6587910Z 2025-12-04T08:54:08.6588577Z Original Error: IndentationError('expected an indented block after function definition on line 5', ('', 6, 1, '_._ = None\n', 6, 2)) 2025-12-04T08:54:08.6589236Z 2025-12-04T08:54:08.6589325Z _._ = None 2025-12-04T08:54:08.6589545Z ^ 2025-12-04T08:54:10.5345253Z msg = Cannot scrape callname=CustomOpDef.register_fake in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py line=402. 2025-12-04T08:54:10.5346308Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:54:10.5346895Z Register a FakeTensor implementation for this custom op. 2025-12-04T08:54:10.5347199Z 2025-12-04T08:54:10.5347454Z This is necessary to get the operator to work efficiently with torch.compile. 2025-12-04T08:54:10.5347853Z 2025-12-04T08:54:10.5348083Z The Fake impl (sometimes also known as a meta kernel or abstract impl) 2025-12-04T08:54:10.5348684Z specifies the behavior of this operator on Tensors that carry no data. 2025-12-04T08:54:10.5349200Z Given some input Tensors with certain properties 2025-12-04T08:54:10.5349749Z (sizes/strides/storage_offset/device), it specifies what the properties of 2025-12-04T08:54:10.5350260Z the output Tensors are. 2025-12-04T08:54:10.5350463Z 2025-12-04T08:54:10.5350694Z Please see :func:`torch.library.register_fake` for more details. 2025-12-04T08:54:10.5351028Z 2025-12-04T08:54:10.5351114Z Args: 2025-12-04T08:54:10.5351434Z fn (Callable): The function to register as the FakeTensor 2025-12-04T08:54:10.5351845Z implementation. 2025-12-04T08:54:10.5352033Z 2025-12-04T08:54:10.5352136Z Examples: 2025-12-04T08:54:10.5352376Z >>> import torch 2025-12-04T08:54:10.5352669Z >>> import numpy as np 2025-12-04T08:54:10.5352992Z >>> from torch import Tensor 2025-12-04T08:54:10.5353297Z >>> 2025-12-04T08:54:10.5353637Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T08:54:10.5354196Z >>> @torch.library.custom_op("mylib::linear", mutates_args=()) 2025-12-04T08:54:10.5354710Z >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T08:54:10.5355163Z >>> return (x @ weight.t()) + bias 2025-12-04T08:54:10.5355775Z >>> 2025-12-04T08:54:10.5356022Z >>> @linear.register_fake 2025-12-04T08:54:10.5356357Z >>> def _(x, weight, bias): 2025-12-04T08:54:10.5356688Z >>> assert x.dim() == 2 2025-12-04T08:54:10.5357033Z >>> assert weight.dim() == 2 2025-12-04T08:54:10.5357364Z >>> assert bias.dim() == 1 2025-12-04T08:54:10.5357735Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T08:54:10.5358128Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T08:54:10.5358506Z >>> assert x.device == weight.device 2025-12-04T08:54:10.5358907Z >>> return x.new_empty(x.size(0), weight.size(0)) 2025-12-04T08:54:10.5359277Z >>> 2025-12-04T08:54:10.5359520Z >>> x = torch.randn(2, 2) 2025-12-04T08:54:10.5359851Z >>> weight = torch.randn(2, 2) 2025-12-04T08:54:10.5360193Z >>> bias = torch.randn(2) 2025-12-04T08:54:10.5360562Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T08:54:10.5361012Z >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias) 2025-12-04T08:54:10.5361489Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T08:54:10.5362118Z >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias)) 2025-12-04T08:54:10.5362581Z >>> 2025-12-04T08:54:10.5362911Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T08:54:10.5363429Z >>> @torch.library.custom_op("mylib::nonzero", mutates_args=()) 2025-12-04T08:54:10.5363881Z >>> def nonzero(x: Tensor) -> Tensor: 2025-12-04T08:54:10.5364222Z >>> x_np = x.cpu().numpy() 2025-12-04T08:54:10.5364587Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T08:54:10.5364996Z >>> return torch.tensor(res, device=x.device) 2025-12-04T08:54:10.5365343Z >>> 2025-12-04T08:54:10.5365605Z >>> @nonzero.register_fake 2025-12-04T08:54:10.5365929Z >>> def _(x): 2025-12-04T08:54:10.5366252Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T08:54:10.5366707Z >>> # Since we cannot peek at the data in an abstract impl, 2025-12-04T08:54:10.5367190Z >>> # we use the ctx object to construct a new symint that 2025-12-04T08:54:10.5367611Z >>> # represents the data-dependent size. 2025-12-04T08:54:10.5368001Z >>> ctx = torch.library.get_ctx() 2025-12-04T08:54:10.5368372Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T08:54:10.5368730Z >>> shape = [nnz, x.dim()] 2025-12-04T08:54:10.5369104Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T08:54:10.5369488Z >>> return result 2025-12-04T08:54:10.5369777Z >>> 2025-12-04T08:54:10.5370031Z >>> x = torch.tensor([0, 1, 2, 0, 0, 1]) 2025-12-04T08:54:10.5370420Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T08:54:10.5370849Z >>> out = torch.compile(nonzero, fullgraph=True)(x) 2025-12-04T08:54:10.5371254Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T08:54:10.5371665Z >>> assert torch.allclose(out, x.nonzero()) 2025-12-04T08:54:10.5371933Z 2025-12-04T08:54:10.5372024Z 2025-12-04T08:54:10.5372717Z Original Error: IndentationError('expected an indented block after function definition on line 36', ('', 37, 1, '_._ = None\n', 37, 2)) 2025-12-04T08:54:10.5373384Z 2025-12-04T08:54:10.5373473Z _._ = None 2025-12-04T08:54:10.5373690Z ^ 2025-12-04T08:54:10.5525022Z msg = Cannot scrape callname=unsafe_generate_fake_kernels in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/fake_profile.py line=94. 2025-12-04T08:54:10.5526061Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-12-04T08:54:10.5526460Z 2025-12-04T08:54:10.5526877Z Registers a fake kernel based on the given operator profiles. This fake 2025-12-04T08:54:10.5527504Z kernel registration will override any existing fake kernel registrations. 2025-12-04T08:54:10.5527890Z 2025-12-04T08:54:10.5528135Z The input is a dictionary mapping operator names to a set of operator 2025-12-04T08:54:10.5528723Z profiles, which we will use to generate fake kernels. The operator profiles 2025-12-04T08:54:10.5529288Z are a record of the input and output tensor metadata. Based on this 2025-12-04T08:54:10.5529887Z information we will match a given input to the recorded profile, and return 2025-12-04T08:54:10.5530497Z an output with the same metadata as in the recorded profile. If a profile 2025-12-04T08:54:10.5531006Z doesn't exist then an exception will be thrown. 2025-12-04T08:54:10.5531265Z 2025-12-04T08:54:10.5531499Z The fake kernel generation is considered unsafe because it relies on the 2025-12-04T08:54:10.5532101Z rigid, pre-defined operator profiles that do not account for potential 2025-12-04T08:54:10.5532723Z variations in output behavior. Specifically, the generated kernels assume a 2025-12-04T08:54:10.5533363Z fixed relationship between input and output ranks. However, in reality, it's 2025-12-04T08:54:10.5534102Z possible that data-dependent operations may produce outputs of different 2025-12-04T08:54:10.5534713Z ranks even when given inputs of the same rank. The generated fake kernels 2025-12-04T08:54:10.5535301Z are inflexible and unable to accommodate these nuances, making them 2025-12-04T08:54:10.5535736Z potentially unsafe. 2025-12-04T08:54:10.5535907Z 2025-12-04T08:54:10.5535992Z Args: 2025-12-04T08:54:10.5536342Z op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator 2025-12-04T08:54:10.5536890Z name to a set of operator profiles from which we will generate fake 2025-12-04T08:54:10.5537316Z kernels. 2025-12-04T08:54:10.5537472Z 2025-12-04T08:54:10.5537559Z Examples: 2025-12-04T08:54:10.5537681Z 2025-12-04T08:54:10.5537870Z >>> # Example: Registering an op-profile from draft-export 2025-12-04T08:54:10.5538249Z >>> import torch 2025-12-04T08:54:10.5538574Z >>> from torch.export._draft_export import draft_export 2025-12-04T08:54:10.5539008Z >>> 2025-12-04T08:54:10.5539321Z >>> @torch.library.custom_op("mylib::foo", mutates_args=()) 2025-12-04T08:54:10.5539761Z >>> def foo(x: Tensor, y: Tensor) -> Tensor: 2025-12-04T08:54:10.5540108Z >>> return x + y 2025-12-04T08:54:10.5540358Z >>> 2025-12-04T08:54:10.5540593Z >>> class M(torch.nn.Module): 2025-12-04T08:54:10.5540917Z >>> def forward(self, a, b): 2025-12-04T08:54:10.5541275Z >>> res = torch.ops.mylib.foo(a, b) # no fake impl 2025-12-04T08:54:10.5541654Z >>> return res 2025-12-04T08:54:10.5541920Z >>> 2025-12-04T08:54:10.5542216Z >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4)) 2025-12-04T08:54:10.5542589Z >>> 2025-12-04T08:54:10.5543038Z >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles): 2025-12-04T08:54:10.5543605Z >>> decomp = ep.run_decompositions() 2025-12-04T08:54:10.5543838Z 2025-12-04T08:54:10.5543843Z 2025-12-04T08:54:10.5544338Z Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced') 2025-12-04T08:54:10.5544971Z 2025-12-04T08:54:10.9229920Z msg = Cannot scrape callname=ActivationSparsifier in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py line=16. 2025-12-04T08:54:10.9231182Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:54:10.9231564Z 2025-12-04T08:54:10.9231852Z The Activation sparsifier class aims to sparsify/prune activations in a neural 2025-12-04T08:54:10.9232475Z network. The idea is to attach the sparsifier to a layer (or layers) and it 2025-12-04T08:54:10.9233095Z zeroes out the activations based on the mask_fn (or sparsification function) 2025-12-04T08:54:10.9233827Z input by the user. 2025-12-04T08:54:10.9234226Z The mask_fn is applied once all the inputs are aggregated and reduced i.e. 2025-12-04T08:54:10.9234734Z mask = mask_fn(reduce_fn(aggregate_fn(activations))) 2025-12-04T08:54:10.9235042Z 2025-12-04T08:54:10.9235169Z Note:: 2025-12-04T08:54:10.9235639Z The sparsification mask is computed on the input **before it goes through the attached layer**. 2025-12-04T08:54:10.9236097Z 2025-12-04T08:54:10.9236180Z Args: 2025-12-04T08:54:10.9236407Z model (nn.Module): 2025-12-04T08:54:10.9236816Z The model whose layers will be sparsified. The layers that needs to be 2025-12-04T08:54:10.9237429Z sparsified should be added separately using the register_layer() function 2025-12-04T08:54:10.9237913Z aggregate_fn (Optional, Callable): 2025-12-04T08:54:10.9238411Z default aggregate_fn that is used if not specified while registering the layer. 2025-12-04T08:54:10.9238989Z specifies how inputs should be aggregated over time. 2025-12-04T08:54:10.9239565Z The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor. 2025-12-04T08:54:10.9240083Z Example 2025-12-04T08:54:10.9240518Z def add_agg_fn(tensor1, tensor2): return tensor1 + tensor2 2025-12-04T08:54:10.9240932Z reduce_fn (Optional, Callable): 2025-12-04T08:54:10.9241429Z default reduce_fn that is used if not specified while registering the layer. 2025-12-04T08:54:10.9242085Z reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after 2025-12-04T08:54:10.9242603Z calling agg_fn() on all inputs. 2025-12-04T08:54:10.9242927Z Example 2025-12-04T08:54:10.9243299Z def mean_reduce_fn(agg_tensor): return agg_tensor.mean(dim=0) 2025-12-04T08:54:10.9243747Z mask_fn (Optional, Callable): 2025-12-04T08:54:10.9244291Z default mask_fn that is used to create the sparsification mask using the tensor obtained after 2025-12-04T08:54:10.9245007Z calling the reduce_fn(). This is used by default if a custom one is passed in the 2025-12-04T08:54:10.9245503Z register_layer(). 2025-12-04T08:54:10.9246079Z Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config 2025-12-04T08:54:10.9246651Z arguments. 2025-12-04T08:54:10.9246943Z features (Optional, list): 2025-12-04T08:54:10.9247305Z default selected features to sparsify. 2025-12-04T08:54:10.9247823Z If this is non-empty, then the mask_fn will be applied for each feature of the input. 2025-12-04T08:54:10.9248334Z For example, 2025-12-04T08:54:10.9248789Z mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features] 2025-12-04T08:54:10.9249303Z feature_dim (Optional, int): 2025-12-04T08:54:10.9249822Z default dimension of input features. Again, features along this dim will be chosen 2025-12-04T08:54:10.9250354Z for sparsification. 2025-12-04T08:54:10.9250678Z sparse_config (Dict): 2025-12-04T08:54:10.9251107Z Default configuration for the mask_fn. This config will be passed 2025-12-04T08:54:10.9251571Z with the mask_fn() 2025-12-04T08:54:10.9251772Z 2025-12-04T08:54:10.9251874Z Example: 2025-12-04T08:54:10.9252088Z >>> # xdoctest: +SKIP 2025-12-04T08:54:10.9252368Z >>> model = SomeModel() 2025-12-04T08:54:10.9252806Z >>> act_sparsifier = ActivationSparsifier(...) # init activation sparsifier 2025-12-04T08:54:10.9253296Z >>> # Initialize aggregate_fn 2025-12-04T08:54:10.9253588Z >>> def agg_fn(x, y): 2025-12-04T08:54:10.9253858Z >>> return x + y 2025-12-04T08:54:10.9254118Z >>> 2025-12-04T08:54:10.9254333Z >>> # Initialize reduce_fn 2025-12-04T08:54:10.9254626Z >>> def reduce_fn(x): 2025-12-04T08:54:10.9254987Z >>> return torch.mean(x, dim=0) 2025-12-04T08:54:10.9255291Z >>> 2025-12-04T08:54:10.9255517Z >>> # Initialize mask_fn 2025-12-04T08:54:10.9255807Z >>> def mask_fn(data): 2025-12-04T08:54:10.9256121Z >>> return torch.eye(data.shape).to(data.device) 2025-12-04T08:54:10.9256485Z >>> 2025-12-04T08:54:10.9256696Z >>> 2025-12-04T08:54:10.9256922Z >>> act_sparsifier.register_layer( 2025-12-04T08:54:10.9257253Z ... model.some_layer, 2025-12-04T08:54:10.9257549Z ... aggregate_fn=agg_fn, 2025-12-04T08:54:10.9257838Z ... reduce_fn=reduce_fn, 2025-12-04T08:54:10.9258135Z ... mask_fn=mask_fn, 2025-12-04T08:54:10.9258405Z ... ) 2025-12-04T08:54:10.9258616Z >>> 2025-12-04T08:54:10.9258919Z >>> # start training process 2025-12-04T08:54:10.9259228Z >>> for _ in [...]: 2025-12-04T08:54:10.9259493Z >>> # epoch starts 2025-12-04T08:54:10.9259825Z >>> # model.forward(), compute_loss() and model.backwards() 2025-12-04T08:54:10.9260236Z >>> # epoch ends 2025-12-04T08:54:10.9260529Z >>> act_sparsifier.step() 2025-12-04T08:54:10.9260829Z >>> # end training process 2025-12-04T08:54:10.9261140Z >>> sparsifier.squash_mask() 2025-12-04T08:54:10.9261418Z 2025-12-04T08:54:10.9261968Z Original Error: IndentationError("expected an indented block after 'for' statement on line 25", ('', 26, 1, '_._ = None\n', 26, 2)) 2025-12-04T08:54:10.9262608Z 2025-12-04T08:54:10.9262717Z _._ = None 2025-12-04T08:54:10.9262926Z ^ 2025-12-04T08:54:11.4657023Z msg = Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/device_mesh.py line=547. 2025-12-04T08:54:11.4658055Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:54:11.4658440Z 2025-12-04T08:54:11.4658724Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh. 2025-12-04T08:54:11.4659514Z The submesh created consists of the dimensions and the communicators indicated by 2025-12-04T08:54:11.4660036Z ``mesh_dim_names`` 2025-12-04T08:54:11.4660188Z 2025-12-04T08:54:11.4660287Z Args: 2025-12-04T08:54:11.4660642Z mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the 2025-12-04T08:54:11.4661232Z mesh dimension of the DeviceMesh to create the submesh for. 2025-12-04T08:54:11.4661638Z Returns: 2025-12-04T08:54:11.4661878Z A :class:`DeviceMesh` object 2025-12-04T08:54:11.4662079Z 2025-12-04T08:54:11.4662374Z The following program runs on each process/rank in an SPMD manner in a world size of 8. 2025-12-04T08:54:11.4662902Z In the first example: 2025-12-04T08:54:11.4663337Z Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]). 2025-12-04T08:54:11.4663975Z Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of DeviceMesh:([4, 5, 6, 7]). 2025-12-04T08:54:11.4664597Z Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of DeviceMesh:([0, 4]). 2025-12-04T08:54:11.4665203Z Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of DeviceMesh:([1, 5]). 2025-12-04T08:54:11.4665805Z Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of DeviceMesh:([2, 6]). 2025-12-04T08:54:11.4666395Z Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of DeviceMesh:([3, 7]). 2025-12-04T08:54:11.4666763Z 2025-12-04T08:54:11.4666865Z In the second example: 2025-12-04T08:54:11.4667321Z Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]). 2025-12-04T08:54:11.4668001Z Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]). 2025-12-04T08:54:11.4668665Z Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]). 2025-12-04T08:54:11.4669345Z Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]). 2025-12-04T08:54:11.4669741Z 2025-12-04T08:54:11.4669878Z Example:: 2025-12-04T08:54:11.4670227Z 2025-12-04T08:54:11.4670340Z >>> # xdoctest: +SKIP("no rank") 2025-12-04T08:54:11.4670751Z >>> from torch.distributed.device_mesh import DeviceMesh 2025-12-04T08:54:11.4671141Z >>> 2025-12-04T08:54:11.4671480Z >>> # Initialize a 2D device mesh as (2, 4) to represent the topology 2025-12-04T08:54:11.4671962Z >>> # of cross-host(dim 0), and within-host (dim 1). 2025-12-04T08:54:11.4672496Z >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T08:54:11.4672998Z >>> tp_mesh = mesh_2d["tp"] 2025-12-04T08:54:11.4673289Z >>> dp_mesh = mesh_2d["dp"] 2025-12-04T08:54:11.4673571Z >>> 2025-12-04T08:54:11.4673799Z >>> # Initialize a 3D mesh. 2025-12-04T08:54:11.4674266Z >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp")) 2025-12-04T08:54:11.4675006Z >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh. 2025-12-04T08:54:11.4675569Z >>> dp_cp_mesh = mesh_3d["dp", "cp"] 2025-12-04T08:54:11.4675917Z >>> cp_dp_mesh = mesh_3d["cp", "dp"] 2025-12-04T08:54:11.4676139Z 2025-12-04T08:54:11.4676843Z 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)) 2025-12-04T08:54:11.4677799Z 2025-12-04T08:54:11.4678054Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T08:54:11.4678572Z ^ 2025-12-04T08:54:11.7870883Z msg = Cannot scrape callname=SavePlanner in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/planner.py line=122. 2025-12-04T08:54:11.7872927Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:54:11.7873681Z 2025-12-04T08:54:11.7874308Z Abstract class defining the protocol used by save_state_dict to plan the save process. 2025-12-04T08:54:11.7875125Z 2025-12-04T08:54:11.7875697Z SavePlanners are stateful objects that can be used to customize the whole save process. 2025-12-04T08:54:11.7876559Z 2025-12-04T08:54:11.7877140Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T08:54:11.7878180Z will be visible to the whole process. 2025-12-04T08:54:11.7878607Z 2025-12-04T08:54:11.7879171Z A planner subclass can expect the following sequence of calls during save_state_dict: 2025-12-04T08:54:11.7879985Z 2025-12-04T08:54:11.7880208Z 1) set_up_planner - called on all ranks. 2025-12-04T08:54:11.7880881Z Signals the start of a checkpoint save. 2025-12-04T08:54:11.7881332Z 2025-12-04T08:54:11.7881577Z 2) create_local_plan - called on all ranks. 2025-12-04T08:54:11.7882589Z Process the state_dict and produces a `SavePlan` that will be sent for global planning. 2025-12-04T08:54:11.7883431Z 2025-12-04T08:54:11.7883790Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T08:54:11.7884768Z Takes the SavePlan from all ranks and make any global decision. 2025-12-04T08:54:11.7885386Z 2025-12-04T08:54:11.7885614Z 4) finish_plan - called on all ranks. 2025-12-04T08:54:11.7886453Z This gives each rank a chance to adjust to global planning decisions. 2025-12-04T08:54:11.7887147Z 2025-12-04T08:54:11.7887436Z 5) resolve_data - called multiple times on each rank 2025-12-04T08:54:11.7888370Z Lookups a value on the `state_dict` for the storage layer to write. 2025-12-04T08:54:11.7889001Z 2025-12-04T08:54:11.7889623Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as 2025-12-04T08:54:11.7890835Z most changes can be expressed by changes in a single method. 2025-12-04T08:54:11.7891447Z 2025-12-04T08:54:11.7891676Z There are 3 usual patterns of extension: 2025-12-04T08:54:11.7892126Z 2025-12-04T08:54:11.7892644Z Rewriting state_dict. This is the simplest way to extend the save process as it 2025-12-04T08:54:11.7894228Z doesn't requite understanding the intrincacies of how SavePlan works: 2025-12-04T08:54:11.7894924Z 2025-12-04T08:54:11.7895140Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T08:54:11.7895838Z >>> class RenamePlanner(DefaultSavePlanner): 2025-12-04T08:54:11.7896506Z >>> def set_up_planner( 2025-12-04T08:54:11.7896997Z >>> self, 2025-12-04T08:54:11.7897457Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T08:54:11.7898051Z >>> storage_meta: Optional[StorageMeta], 2025-12-04T08:54:11.7898663Z >>> is_coordinator: bool, 2025-12-04T08:54:11.7899318Z >>> ) -> None: 2025-12-04T08:54:11.7899810Z >>> # prefix all keys with `foo_`` 2025-12-04T08:54:11.7900769Z >>> super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator) 2025-12-04T08:54:11.7901476Z 2025-12-04T08:54:11.7902490Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted 2025-12-04T08:54:11.7903340Z 2025-12-04T08:54:11.7903547Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T08:54:11.7904182Z >>> class FP16Planner(DefaultSavePlanner): 2025-12-04T08:54:11.7904813Z >>> def create_local_plan(self): 2025-12-04T08:54:11.7905716Z >>> plan = super().create_local_plan() 2025-12-04T08:54:11.7906339Z >>> for p in plan: 2025-12-04T08:54:11.7906881Z >>> if p.tensor_data is not None: 2025-12-04T08:54:11.7907599Z >>> p.tensor_data.properties.dtype = torch.float16 2025-12-04T08:54:11.7908305Z >>> return plan 2025-12-04T08:54:11.7908754Z >>> 2025-12-04T08:54:11.7909159Z >>> def resolve_data(self, write_item): 2025-12-04T08:54:11.7909832Z >>> item = super().resolve_data(write_item) 2025-12-04T08:54:11.7910795Z >>> return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16) 2025-12-04T08:54:11.7911502Z 2025-12-04T08:54:11.7912170Z Using the global planning step to make central decisions that can't be made individually by each rank 2025-12-04T08:54:11.7913078Z 2025-12-04T08:54:11.7913282Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T08:54:11.7913881Z >>> from itertools import zip_longest 2025-12-04T08:54:11.7914499Z >>> from dataclasses import replace 2025-12-04T08:54:11.7915190Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner): 2025-12-04T08:54:11.7916275Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0 2025-12-04T08:54:11.7917269Z >>> # This sample doesn't handle ShardedTensors 2025-12-04T08:54:11.7917940Z >>> def create_global_plan(self, all_plans): 2025-12-04T08:54:11.7918701Z >>> iters = [iter(all_plans[0].items)] * len(all_plans) 2025-12-04T08:54:11.7919397Z >>> items_per_rank = [ 2025-12-04T08:54:11.7919997Z >>> [item for item in items if item is not None] 2025-12-04T08:54:11.7920784Z >>> for items in zip(*zip_longest(*iters), strict=True) 2025-12-04T08:54:11.7921442Z >>> ] 2025-12-04T08:54:11.7921838Z >>> all_plans = [ 2025-12-04T08:54:11.7922380Z >>> replace(plan, items=items) 2025-12-04T08:54:11.7923153Z >>> for plan, items in zip(all_plans, items_per_rank, strict=True) 2025-12-04T08:54:11.7923911Z >>> ] 2025-12-04T08:54:11.7924420Z >>> return super().create_global_plan(all_plans) 2025-12-04T08:54:11.7924931Z 2025-12-04T08:54:11.7925448Z Finally, some planners need to save additional metadata in the checkpoint, this is 2025-12-04T08:54:11.7926774Z accomplished by having each rank contribute their data items in the local plan and 2025-12-04T08:54:11.7927759Z the global planner aggregate them: 2025-12-04T08:54:11.7928181Z 2025-12-04T08:54:11.7928387Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T08:54:11.7929096Z >>> class SaveExtraDataPlanner(DefaultSavePlanner): 2025-12-04T08:54:11.7929829Z >>> def create_local_plan(self) -> SavePlan: 2025-12-04T08:54:11.7930511Z >>> plan = super().create_local_plan() 2025-12-04T08:54:11.7931425Z >>> return replace(plan, planner_data="per-rank-data") 2025-12-04T08:54:11.7932133Z >>> 2025-12-04T08:54:11.7932915Z >>> def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]: 2025-12-04T08:54:11.7934138Z >>> global_plan, metadata = super().create_global_plan(all_plans) 2025-12-04T08:54:11.7934996Z >>> merged_data = [p.planner_data for p in global_plan] 2025-12-04T08:54:11.7935813Z >>> metadata = replace(metadata, planner_data=merged_data) 2025-12-04T08:54:11.7936578Z >>> return global_plan, metadata 2025-12-04T08:54:11.7937022Z 2025-12-04T08:54:11.7938101Z Original Error: IndentationError('expected an indented block after function definition on line 3', ('', 9, 0, '_._ = None\n', 9, -1)) 2025-12-04T08:54:11.7939517Z 2025-12-04T08:54:11.7939690Z _._ = None 2025-12-04T08:54:11.7940052Z ^ 2025-12-04T08:54:11.7941523Z msg = Cannot scrape callname=LoadPlanner in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/planner.py line=305. 2025-12-04T08:54:11.7943423Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:54:11.7944141Z 2025-12-04T08:54:11.7944748Z Abstract class defining the protocol used by load_state_dict to plan the load process. 2025-12-04T08:54:11.7945713Z 2025-12-04T08:54:11.7946281Z LoadPlanner are stateful objects that can be used to customize the whole load process. 2025-12-04T08:54:11.7947090Z 2025-12-04T08:54:11.7947579Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T08:54:11.7948437Z will be visible to the whole process. 2025-12-04T08:54:11.7948809Z 2025-12-04T08:54:11.7949349Z A planner subclass can expect the following sequence of calls during load_state_dict: 2025-12-04T08:54:11.7950141Z 2025-12-04T08:54:11.7950365Z 1) set_up_planner - called on all ranks. 2025-12-04T08:54:11.7951032Z Signals the start of loading a checkpoint. 2025-12-04T08:54:11.7951486Z 2025-12-04T08:54:11.7951703Z 2) create_local_plan - called on all ranks. 2025-12-04T08:54:11.7952691Z Process the state_dict and produces a `LoadPlan` that will be sent for global planning. 2025-12-04T08:54:11.7953473Z 2025-12-04T08:54:11.7953840Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T08:54:11.7954779Z Takes the LoadPlan from all ranks and make any global decision. 2025-12-04T08:54:11.7955397Z 2025-12-04T08:54:11.7955647Z 4) load_bytes - called multiple times on each rank 2025-12-04T08:54:11.7956413Z This is called once per non-tensor value in state_dict. 2025-12-04T08:54:11.7956937Z 2025-12-04T08:54:11.7957359Z 5) resolve_tensor and commit_tensor - called multiple times on each rank 2025-12-04T08:54:11.7958379Z They are called in pair for each Tensor value in state_dict. 2025-12-04T08:54:11.7958978Z 2025-12-04T08:54:11.7959574Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as 2025-12-04T08:54:11.7960808Z most changes can be expressed by changes in a single method. 2025-12-04T08:54:11.7961401Z 2025-12-04T08:54:11.7961644Z There are two usual patterns of extension: 2025-12-04T08:54:11.7962108Z 2025-12-04T08:54:11.7962598Z Rewriting state_dict. This is the simplest way to extend the load process as it 2025-12-04T08:54:11.7963857Z doesn't requite understanding the intrincacies of how LoadPlan works. We need 2025-12-04T08:54:11.7964969Z to keep a reference to the original state_dict as load happens in place so 2025-12-04T08:54:11.7965799Z we need to be able to perform it in place 2025-12-04T08:54:11.7966248Z 2025-12-04T08:54:11.7966446Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T08:54:11.7967083Z >>> class RenamePlanner(DefaultLoadPlanner): 2025-12-04T08:54:11.7967698Z >>> def set_up_planner( 2025-12-04T08:54:11.7968186Z >>> self, 2025-12-04T08:54:11.7968640Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T08:54:11.7969218Z >>> metadata: Metadata, 2025-12-04T08:54:11.7969755Z >>> is_coordinator: bool, 2025-12-04T08:54:11.7970501Z >>> ) -> None: 2025-12-04T08:54:11.7970991Z >>> self.original_state_dict = state_dict 2025-12-04T08:54:11.7971744Z >>> state_dict = {"foo_" + k: v for k, v in state_dict.items()} 2025-12-04T08:54:11.7972482Z >>> 2025-12-04T08:54:11.7972895Z >>> if self.flatten_sharded_tensors: 2025-12-04T08:54:11.7973595Z >>> state_dict = _flatten_sharded_tensors(state_dict) 2025-12-04T08:54:11.7974259Z >>> 2025-12-04T08:54:11.7974662Z >>> if self.flatten_state_dict: 2025-12-04T08:54:11.7975405Z >>> state_dict, self.mappings = flatten_state_dict(state_dict) 2025-12-04T08:54:11.7976124Z >>> 2025-12-04T08:54:11.7976536Z >>> self.state_dict = state_dict 2025-12-04T08:54:11.7977140Z >>> self.metadata = metadata 2025-12-04T08:54:11.7977764Z >>> self.is_coordinator = is_coordinator 2025-12-04T08:54:11.7978358Z >>> 2025-12-04T08:54:11.7978889Z >>> def load_bytes(self, read_item, value): 2025-12-04T08:54:11.7979554Z >>> # Remove the "foo_" prefix 2025-12-04T08:54:11.7980499Z >>> self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False) 2025-12-04T08:54:11.7981358Z 2025-12-04T08:54:11.7981533Z 2025-12-04T08:54:11.7982069Z Modifying resolve_tensor and commit_tensor to handle load time transformation. 2025-12-04T08:54:11.7982838Z 2025-12-04T08:54:11.7983050Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T08:54:11.7983772Z >>> class MetaModelMaterialize(DefaultSavePlanner): 2025-12-04T08:54:11.7984523Z >>> def resolve_tensor(self, read_item): 2025-12-04T08:54:11.7985219Z >>> tensor = super().resolve_tensor(read_item) 2025-12-04T08:54:11.7985958Z >>> return torch.empty_like(tensor, device="cpu") 2025-12-04T08:54:11.7986615Z >>> 2025-12-04T08:54:11.7987062Z >>> def commit_tensor(self, read_item, tensor): 2025-12-04T08:54:11.7987820Z >>> self.state_dict[read_item.dest_index.fqn] = tensor 2025-12-04T08:54:11.7988296Z 2025-12-04T08:54:11.7989107Z Original Error: IndentationError('expected an indented block after function definition on line 22', ('', 23, 0, '_._ = None\n', 23, -1)) 2025-12-04T08:54:11.7990064Z 2025-12-04T08:54:11.7990196Z _._ = None 2025-12-04T08:54:11.7990509Z ^ 2025-12-04T08:54:12.0751109Z msg = Cannot scrape callname=FullStateDictConfig in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/fsdp/api.py line=295. 2025-12-04T08:54:12.0753050Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:54:12.0753768Z 2025-12-04T08:54:12.0754159Z ``FullStateDictConfig`` is a config class meant to be used with 2025-12-04T08:54:12.0755170Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both 2025-12-04T08:54:12.0756149Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state 2025-12-04T08:54:12.0757195Z dicts to save GPU memory and CPU memory, respectively. This config class 2025-12-04T08:54:12.0758301Z is meant to be used via the :func:`state_dict_type` context manager as 2025-12-04T08:54:12.0759049Z follows: 2025-12-04T08:54:12.0759282Z 2025-12-04T08:54:12.0759499Z >>> # xdoctest: +SKIP("undefined variables") 2025-12-04T08:54:12.0760322Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-12-04T08:54:12.0761219Z >>> fsdp = FSDP(model, auto_wrap_policy=...) 2025-12-04T08:54:12.0762081Z >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True) 2025-12-04T08:54:12.0763151Z >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg): 2025-12-04T08:54:12.0764012Z >>> state = fsdp.state_dict() 2025-12-04T08:54:12.0764756Z >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0. 2025-12-04T08:54:12.0765882Z >>> # To reload checkpoint for inference, finetuning, transfer learning, etc: 2025-12-04T08:54:12.0767056Z >>> model = model_fn() # Initialize model in preparation for wrapping with FSDP 2025-12-04T08:54:12.0767962Z >>> if dist.get_rank() == 0: 2025-12-04T08:54:12.0769040Z >>> # Load checkpoint only on rank 0 to avoid memory redundancy 2025-12-04T08:54:12.0769914Z >>> state_dict = torch.load("my_checkpoint.pt") 2025-12-04T08:54:12.0770633Z >>> model.load_state_dict(state_dict) 2025-12-04T08:54:12.0771507Z >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument 2025-12-04T08:54:12.0772694Z >>> # communicates loaded checkpoint states from rank 0 to rest of the world. 2025-12-04T08:54:12.0773565Z >>> fsdp = FSDP( 2025-12-04T08:54:12.0774000Z ... model, 2025-12-04T08:54:12.0774468Z ... device_id=torch.cuda.current_device(), 2025-12-04T08:54:12.0775122Z ... auto_wrap_policy=..., 2025-12-04T08:54:12.0775707Z ... sync_module_states=True, 2025-12-04T08:54:12.0776255Z ... ) 2025-12-04T08:54:12.0776893Z >>> # After this point, all ranks have FSDP model with loaded checkpoint. 2025-12-04T08:54:12.0777528Z 2025-12-04T08:54:12.0777709Z Attributes: 2025-12-04T08:54:12.0778322Z rank0_only (bool): If ``True``, then only rank 0 saves the full state 2025-12-04T08:54:12.0779353Z dict, and nonzero ranks save an empty dict. If ``False``, then all 2025-12-04T08:54:12.0780527Z ranks save the full state dict. (Default: ``False``) 2025-12-04T08:54:12.0781059Z 2025-12-04T08:54:12.0782072Z Original Error: IndentationError("expected an indented block after 'if' statement on line 10", ('', 11, 1, '_._ = None\n', 11, 2)) 2025-12-04T08:54:12.0783294Z 2025-12-04T08:54:12.0783449Z _._ = None 2025-12-04T08:54:12.0783831Z ^ 2025-12-04T08:54:13.5991322Z msg = Cannot scrape callname=register_parametrization in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/parametrize.py line=437. 2025-12-04T08:54:13.5993385Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:54:13.5994385Z Register a parametrization to a tensor in a module. 2025-12-04T08:54:13.5994897Z 2025-12-04T08:54:13.5995425Z Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``, 2025-12-04T08:54:13.5996677Z the module will return the parametrized version ``parametrization(module.weight)``. 2025-12-04T08:54:13.5997998Z If the original tensor requires a gradient, the backward pass will differentiate 2025-12-04T08:54:13.5999307Z through :attr:`parametrization`, and the optimizer will update the tensor accordingly. 2025-12-04T08:54:13.6000108Z 2025-12-04T08:54:13.6000682Z The first time that a module registers a parametrization, this function will add an attribute 2025-12-04T08:54:13.6002349Z ``parametrizations`` to the module of type :class:`~ParametrizationList`. 2025-12-04T08:54:13.6003069Z 2025-12-04T08:54:13.6003576Z The list of parametrizations on the tensor ``weight`` will be accessible under 2025-12-04T08:54:13.6004533Z ``module.parametrizations.weight``. 2025-12-04T08:54:13.6004960Z 2025-12-04T08:54:13.6005232Z The original tensor will be accessible under 2025-12-04T08:54:13.6005997Z ``module.parametrizations.weight.original``. 2025-12-04T08:54:13.6006516Z 2025-12-04T08:54:13.6007019Z Parametrizations may be concatenated by registering several parametrizations 2025-12-04T08:54:13.6008002Z on the same attribute. 2025-12-04T08:54:13.6008331Z 2025-12-04T08:54:13.6008816Z The training mode of a registered parametrization is updated on registration 2025-12-04T08:54:13.6009704Z to match the training mode of the host module 2025-12-04T08:54:13.6010201Z 2025-12-04T08:54:13.6010797Z Parametrized parameters and buffers have an inbuilt caching system that can be activated 2025-12-04T08:54:13.6011870Z using the context manager :func:`cached`. 2025-12-04T08:54:13.6012331Z 2025-12-04T08:54:13.6012802Z A :attr:`parametrization` may optionally implement a method with signature 2025-12-04T08:54:13.6013547Z 2025-12-04T08:54:13.6013781Z .. code-block:: python 2025-12-04T08:54:13.6014133Z 2025-12-04T08:54:13.6014916Z def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]] 2025-12-04T08:54:13.6015596Z 2025-12-04T08:54:13.6016137Z This method is called on the unparametrized tensor when the first parametrization 2025-12-04T08:54:13.6017318Z is registered to compute the initial value of the original tensor. 2025-12-04T08:54:13.6018571Z If this method is not implemented, the original tensor will be just the unparametrized tensor. 2025-12-04T08:54:13.6019489Z 2025-12-04T08:54:13.6020082Z If all the parametrizations registered on a tensor implement `right_inverse` it is possible 2025-12-04T08:54:13.6021535Z to initialize a parametrized tensor by assigning to it, as shown in the example below. 2025-12-04T08:54:13.6022361Z 2025-12-04T08:54:13.6022817Z It is possible for the first parametrization to depend on several inputs. 2025-12-04T08:54:13.6024002Z This may be implemented returning a tuple of tensors from ``right_inverse`` 2025-12-04T08:54:13.6025204Z (see the example implementation of a ``RankOne`` parametrization below). 2025-12-04T08:54:13.6025919Z 2025-12-04T08:54:13.6026597Z In this case, the unconstrained tensors are also located under ``module.parametrizations.weight`` 2025-12-04T08:54:13.6027998Z with names ``original0``, ``original1``,... 2025-12-04T08:54:13.6028472Z 2025-12-04T08:54:13.6028650Z .. note:: 2025-12-04T08:54:13.6028898Z 2025-12-04T08:54:13.6029420Z If unsafe=False (default) both the forward and right_inverse methods will be called 2025-12-04T08:54:13.6030461Z once to perform a number of consistency checks. 2025-12-04T08:54:13.6031495Z If unsafe=True, then right_inverse will be called if the tensor is not parametrized, 2025-12-04T08:54:13.6032498Z and nothing will be called otherwise. 2025-12-04T08:54:13.6032952Z 2025-12-04T08:54:13.6033327Z .. note:: 2025-12-04T08:54:13.6033560Z 2025-12-04T08:54:13.6033944Z In most situations, ``right_inverse`` will be a function such that 2025-12-04T08:54:13.6034814Z ``forward(right_inverse(X)) == X`` (see 2025-12-04T08:54:13.6035714Z `right inverse `_). 2025-12-04T08:54:13.6036997Z Sometimes, when the parametrization is not surjective, it may be reasonable 2025-12-04T08:54:13.6037931Z to relax this. 2025-12-04T08:54:13.6038242Z 2025-12-04T08:54:13.6038425Z .. warning:: 2025-12-04T08:54:13.6038689Z 2025-12-04T08:54:13.6039238Z If a parametrization depends on several inputs, :func:`~register_parametrization` 2025-12-04T08:54:13.6040539Z will register a number of new parameters. If such parametrization is registered 2025-12-04T08:54:13.6041822Z after the optimizer is created, these new parameters will need to be added manually 2025-12-04T08:54:13.6042990Z to the optimizer. See :meth:`torch.Optimizer.add_param_group`. 2025-12-04T08:54:13.6043603Z 2025-12-04T08:54:13.6043772Z Args: 2025-12-04T08:54:13.6044405Z module (nn.Module): module on which to register the parametrization 2025-12-04T08:54:13.6045486Z tensor_name (str): name of the parameter or buffer on which to register 2025-12-04T08:54:13.6046344Z the parametrization 2025-12-04T08:54:13.6047084Z parametrization (nn.Module): the parametrization to register 2025-12-04T08:54:13.6047866Z Keyword args: 2025-12-04T08:54:13.6048510Z unsafe (bool): a boolean flag that denotes whether the parametrization 2025-12-04T08:54:13.6049509Z may change the dtype and shape of the tensor. Default: `False` 2025-12-04T08:54:13.6050592Z Warning: the parametrization is not checked for consistency upon registration. 2025-12-04T08:54:13.6051580Z Enable this flag at your own risk. 2025-12-04T08:54:13.6051979Z 2025-12-04T08:54:13.6052135Z Raises: 2025-12-04T08:54:13.6052881Z ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name` 2025-12-04T08:54:13.6053648Z 2025-12-04T08:54:13.6053814Z Examples: 2025-12-04T08:54:13.6054498Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK) 2025-12-04T08:54:13.6055182Z >>> import torch 2025-12-04T08:54:13.6055682Z >>> import torch.nn as nn 2025-12-04T08:54:13.6056314Z >>> import torch.nn.utils.parametrize as P 2025-12-04T08:54:13.6056940Z >>> 2025-12-04T08:54:13.6057367Z >>> class Symmetric(nn.Module): 2025-12-04T08:54:13.6057973Z >>> def forward(self, X): 2025-12-04T08:54:13.6058675Z >>> return X.triu() + X.triu(1).T # Return a symmetric matrix 2025-12-04T08:54:13.6059536Z >>> 2025-12-04T08:54:13.6059956Z >>> def right_inverse(self, A): 2025-12-04T08:54:13.6060535Z >>> return A.triu() 2025-12-04T08:54:13.6061054Z >>> 2025-12-04T08:54:13.6061431Z >>> m = nn.Linear(5, 5) 2025-12-04T08:54:13.6062049Z >>> P.register_parametrization(m, "weight", Symmetric()) 2025-12-04T08:54:13.6063058Z >>> print(torch.allclose(m.weight, m.weight.T)) # m.weight is now symmetric 2025-12-04T08:54:13.6063919Z True 2025-12-04T08:54:13.6064340Z >>> A = torch.rand(5, 5) 2025-12-04T08:54:13.6064878Z >>> A = A + A.T # A is now symmetric 2025-12-04T08:54:13.6065823Z >>> m.weight = A # Initialize the weight to be the symmetric matrix A 2025-12-04T08:54:13.6066599Z >>> print(torch.allclose(m.weight, A)) 2025-12-04T08:54:13.6067151Z True 2025-12-04T08:54:13.6067392Z 2025-12-04T08:54:13.6067581Z >>> class RankOne(nn.Module): 2025-12-04T08:54:13.6080727Z >>> def forward(self, x, y): 2025-12-04T08:54:13.6081444Z >>> # Form a rank 1 matrix multiplying two vectors 2025-12-04T08:54:13.6082194Z >>> return x.unsqueeze(-1) @ y.unsqueeze(-2) 2025-12-04T08:54:13.6082830Z >>> 2025-12-04T08:54:13.6083271Z >>> def right_inverse(self, Z): 2025-12-04T08:54:13.6083919Z >>> # Project Z onto the rank 1 matrices 2025-12-04T08:54:13.6084655Z >>> U, S, Vh = torch.linalg.svd(Z, full_matrices=False) 2025-12-04T08:54:13.6085409Z >>> # Return rescaled singular vectors 2025-12-04T08:54:13.6086081Z >>> s0_sqrt = S[0].sqrt().unsqueeze(-1) 2025-12-04T08:54:13.6086819Z >>> return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt 2025-12-04T08:54:13.6087478Z >>> 2025-12-04T08:54:13.6087986Z >>> linear_rank_one = P.register_parametrization( 2025-12-04T08:54:13.6088730Z ... nn.Linear(4, 4), "weight", RankOne() 2025-12-04T08:54:13.6089332Z ... ) 2025-12-04T08:54:13.6089969Z >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item()) 2025-12-04T08:54:13.6090767Z 1 2025-12-04T08:54:13.6090990Z 2025-12-04T08:54:13.6091137Z 2025-12-04T08:54:13.6092433Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 3, 0, '_._ = None\n', 3, -1)) 2025-12-04T08:54:13.6093758Z 2025-12-04T08:54:13.6093910Z _._ = None 2025-12-04T08:54:13.6094297Z ^ 2025-12-04T08:54:13.7026362Z msg = Cannot scrape callname=ReduceLROnPlateau in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py line=1586. 2025-12-04T08:54:13.7028254Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:54:13.7029332Z Reduce learning rate when a metric has stopped improving. 2025-12-04T08:54:13.7029932Z 2025-12-04T08:54:13.7030325Z Models often benefit from reducing the learning rate by a factor 2025-12-04T08:54:13.7031338Z of 2-10 once learning stagnates. This scheduler reads a metrics 2025-12-04T08:54:13.7032331Z quantity and if no improvement is seen for a 'patience' number 2025-12-04T08:54:13.7033175Z of epochs, the learning rate is reduced. 2025-12-04T08:54:13.7033646Z 2025-12-04T08:54:13.7033806Z Args: 2025-12-04T08:54:13.7034289Z optimizer (Optimizer): Wrapped optimizer. 2025-12-04T08:54:13.7035326Z mode (str): One of `min`, `max`. In `min` mode, lr will 2025-12-04T08:54:13.7036173Z be reduced when the quantity monitored has stopped 2025-12-04T08:54:13.7037014Z decreasing; in `max` mode it will be reduced when the 2025-12-04T08:54:13.7037972Z quantity monitored has stopped increasing. Default: 'min'. 2025-12-04T08:54:13.7038912Z factor (float): Factor by which the learning rate will be 2025-12-04T08:54:13.7039749Z reduced. new_lr = lr * factor. Default: 0.1. 2025-12-04T08:54:13.7040678Z patience (int): The number of allowed epochs with no improvement after 2025-12-04T08:54:13.7041599Z which the learning rate will be reduced. 2025-12-04T08:54:13.7042537Z For example, consider the case of having no patience (`patience = 0`). 2025-12-04T08:54:13.7043891Z In the first epoch, a baseline is established and is always considered good as there's no previous baseline. 2025-12-04T08:54:13.7045201Z In the second epoch, if the performance is worse than the baseline, 2025-12-04T08:54:13.7046139Z we have what is considered an intolerable epoch. 2025-12-04T08:54:13.7047196Z Since the count of intolerable epochs (1) is greater than the patience level (0), 2025-12-04T08:54:13.7048556Z the learning rate is reduced at the end of this epoch. 2025-12-04T08:54:13.7049694Z From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch 2025-12-04T08:54:13.7051205Z if the performance is worse than the baseline. If the performance improves or remains the same, 2025-12-04T08:54:13.7052316Z the learning rate is not adjusted. 2025-12-04T08:54:13.7052940Z Default: 10. 2025-12-04T08:54:13.7053598Z threshold (float): Threshold for measuring the new optimum, 2025-12-04T08:54:13.7054497Z to only focus on significant changes. Default: 1e-4. 2025-12-04T08:54:13.7055378Z threshold_mode (str): One of `rel`, `abs`. In `rel` mode, 2025-12-04T08:54:13.7056257Z dynamic_threshold = best * ( 1 + threshold ) in 'max' 2025-12-04T08:54:13.7057016Z mode or best * ( 1 - threshold ) in `min` mode. 2025-12-04T08:54:13.7057782Z In `abs` mode, dynamic_threshold = best + threshold in 2025-12-04T08:54:13.7058674Z `max` mode or best - threshold in `min` mode. Default: 'rel'. 2025-12-04T08:54:13.7059705Z cooldown (int): Number of epochs to wait before resuming 2025-12-04T08:54:13.7060630Z normal operation after lr has been reduced. Default: 0. 2025-12-04T08:54:13.7061527Z min_lr (float or list): A scalar or a list of scalars. A 2025-12-04T08:54:13.7062383Z lower bound on the learning rate of all param groups 2025-12-04T08:54:13.7063178Z or each group respectively. Default: 0. 2025-12-04T08:54:13.7063996Z eps (float): Minimal decay applied to lr. If the difference 2025-12-04T08:54:13.7064929Z between new and old lr is smaller than eps, the update is 2025-12-04T08:54:13.7065722Z ignored. Default: 1e-8. 2025-12-04T08:54:13.7066101Z 2025-12-04T08:54:13.7066245Z Example: 2025-12-04T08:54:13.7066654Z >>> # xdoctest: +SKIP 2025-12-04T08:54:13.7067413Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9) 2025-12-04T08:54:13.7068363Z >>> scheduler = ReduceLROnPlateau(optimizer, "min") 2025-12-04T08:54:13.7069091Z >>> for epoch in range(10): 2025-12-04T08:54:13.7069640Z >>> train(...) 2025-12-04T08:54:13.7070157Z >>> val_loss = validate(...) 2025-12-04T08:54:13.7070834Z >>> # Note that step should be called after validate() 2025-12-04T08:54:13.7071539Z >>> scheduler.step(val_loss) 2025-12-04T08:54:13.7071966Z 2025-12-04T08:54:13.7072362Z .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png 2025-12-04T08:54:13.7073115Z 2025-12-04T08:54:13.7074334Z Original Error: IndentationError('unexpected indent', ('', 8, 4, ' scheduler.step(val_loss)\n', 8, -1)) 2025-12-04T08:54:13.7075389Z 2025-12-04T08:54:13.7075564Z scheduler.step(val_loss) 2025-12-04T08:54:13.7076067Z ^ 2025-12-04T08:54:15.8233985Z running 894 test(s) 2025-12-04T08:54:15.8240534Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::typename:0, line 1111 <- wrt source file 2025-12-04T08:54:15.8251138Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::typename:0 2025-12-04T08:54:15.8253017Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::is_tensor:0, line 1142 <- wrt source file 2025-12-04T08:54:15.8258905Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::is_tensor:0 2025-12-04T08:54:15.8261044Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::is_storage:0, line 1157 <- wrt source file 2025-12-04T08:54:15.8270113Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::is_storage:0 2025-12-04T08:54:15.8272445Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::set_default_device:0, line 1247 <- wrt source file 2025-12-04T08:54:15.8275326Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::set_default_device:0 2025-12-04T08:54:15.8277807Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::set_default_tensor_type:0, line 1296 <- wrt source file 2025-12-04T08:54:15.8280370Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::set_default_tensor_type:0 2025-12-04T08:54:15.8282855Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::set_default_dtype:0, line 1333 <- wrt source file 2025-12-04T08:54:15.8285294Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::set_default_dtype:0 2025-12-04T08:54:15.8287580Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::use_deterministic_algorithms:0, line 1497 <- wrt source file 2025-12-04T08:54:15.8290192Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::use_deterministic_algorithms:0 2025-12-04T08:54:15.8292638Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::compile:0, line 2655 <- wrt source file 2025-12-04T08:54:15.8294888Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::compile:0 2025-12-04T08:54:15.8297428Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0, line 2963 <- wrt source file 2025-12-04T08:54:15.8300353Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0 2025-12-04T08:54:15.8303563Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_C.cpython-314-x86_64-linux-gnu.so::Generator:0, line 15 <- wrt source file 2025-12-04T08:54:15.8306382Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_C.cpython-314-x86_64-linux-gnu.so::Generator:0 2025-12-04T08:54:15.8308839Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_C.cpython-314-x86_64-linux-gnu.so::_LinAlgError:0, line 5 <- wrt source file 2025-12-04T08:54:15.8311597Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_C.cpython-314-x86_64-linux-gnu.so::_LinAlgError:0 2025-12-04T08:54:15.8313959Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_custom_ops.py::custom_op:0, line 55 <- wrt source file 2025-12-04T08:54:15.8316273Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_custom_ops.py::custom_op:0 2025-12-04T08:54:15.8318389Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_custom_ops.py::impl:0, line 138 <- wrt source file 2025-12-04T08:54:15.8320616Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_custom_ops.py::impl:0 2025-12-04T08:54:15.8322682Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_custom_ops.py::impl_abstract:0, line 208 <- wrt source file 2025-12-04T08:54:15.8592117Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_custom_ops.py::impl_abstract:0 2025-12-04T08:54:15.8594617Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_namedtensor_internals.py::update_names:0, line 118 <- wrt source file 2025-12-04T08:54:15.8597063Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_namedtensor_internals.py::update_names:0 2025-12-04T08:54:15.8599068Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.register_hook:0, line 681 <- wrt source file 2025-12-04T08:54:15.8610426Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.register_hook:0 2025-12-04T08:54:15.8612933Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0, line 738 <- wrt source file 2025-12-04T08:54:15.8634695Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0 2025-12-04T08:54:15.8637085Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.refine_names:0, line 1374 <- wrt source file 2025-12-04T08:54:15.8751847Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.refine_names:0 2025-12-04T08:54:15.8756454Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.align_to:0, line 1419 <- wrt source file 2025-12-04T08:54:15.8764005Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.align_to:0 2025-12-04T08:54:15.8766313Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.rename:0, line 1492 <- wrt source file 2025-12-04T08:54:15.8774300Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.rename:0 2025-12-04T08:54:15.8776310Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0, line 1522 <- wrt source file 2025-12-04T08:54:15.8790854Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0 2025-12-04T08:54:15.8792437Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.dim_order:0, line 1554 <- wrt source file 2025-12-04T08:54:15.8817672Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor.py::Tensor.dim_order:0 2025-12-04T08:54:15.8819027Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor_str.py::set_printoptions:0, line 53 <- wrt source file 2025-12-04T08:54:15.8841111Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_tensor_str.py::set_printoptions:0 2025-12-04T08:54:15.8842393Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::broadcast_tensors:0, line 64 <- wrt source file 2025-12-04T08:54:15.8850413Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::broadcast_tensors:0 2025-12-04T08:54:15.8851884Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::broadcast_shapes:0, line 92 <- wrt source file 2025-12-04T08:54:15.8855567Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::broadcast_shapes:0 2025-12-04T08:54:15.8856798Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::split:0, line 144 <- wrt source file 2025-12-04T08:54:15.8873605Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::split:0 2025-12-04T08:54:15.8874763Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::einsum:0, line 258 <- wrt source file 2025-12-04T08:54:15.8899298Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::einsum:0 2025-12-04T08:54:15.8900482Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::meshgrid:0, line 450 <- wrt source file 2025-12-04T08:54:15.8942593Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::meshgrid:0 2025-12-04T08:54:15.8944018Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::_unique_impl:0, line 835 <- wrt source file 2025-12-04T08:54:15.9005613Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::_unique_impl:0 2025-12-04T08:54:15.9006912Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::_unique_consecutive_impl:0, line 992 <- wrt source file 2025-12-04T08:54:15.9022278Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::_unique_consecutive_impl:0 2025-12-04T08:54:15.9023838Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::tensordot:0, line 1267 <- wrt source file 2025-12-04T08:54:15.9038355Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::tensordot:0 2025-12-04T08:54:15.9039584Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::cartesian_prod:0, line 1351 <- wrt source file 2025-12-04T08:54:15.9048597Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::cartesian_prod:0 2025-12-04T08:54:15.9049812Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::block_diag:0, line 1385 <- wrt source file 2025-12-04T08:54:15.9064028Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::block_diag:0 2025-12-04T08:54:15.9065190Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::cdist:0, line 1441 <- wrt source file 2025-12-04T08:54:15.9084247Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::cdist:0 2025-12-04T08:54:15.9085429Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::atleast_1d:0, line 1482 <- wrt source file 2025-12-04T08:54:15.9109064Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::atleast_1d:0 2025-12-04T08:54:15.9110464Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::atleast_2d:0, line 1520 <- wrt source file 2025-12-04T08:54:15.9134636Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::atleast_2d:0 2025-12-04T08:54:15.9135837Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::atleast_3d:0, line 1560 <- wrt source file 2025-12-04T08:54:15.9165811Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::atleast_3d:0 2025-12-04T08:54:15.9167182Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::norm:0, line 1735 <- wrt source file 2025-12-04T08:54:15.9215091Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::norm:0 2025-12-04T08:54:15.9216330Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::unravel_index:0, line 1905 <- wrt source file 2025-12-04T08:54:15.9254547Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::unravel_index:0 2025-12-04T08:54:15.9255928Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::chain_matmul:0, line 2005 <- wrt source file 2025-12-04T08:54:15.9257822Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::chain_matmul:0 2025-12-04T08:54:15.9259744Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::_lu_impl:0, line 2106 <- wrt source file 2025-12-04T08:54:15.9261697Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/functional.py::_lu_impl:0 2025-12-04T08:54:15.9263009Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/hub.py::list:0, line 477 <- wrt source file 2025-12-04T08:54:15.9264098Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/hub.py::list:0 2025-12-04T08:54:15.9265137Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/hub.py::help:0, line 537 <- wrt source file 2025-12-04T08:54:15.9266203Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/hub.py::help:0 2025-12-04T08:54:15.9267370Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/hub.py::load:0, line 628 <- wrt source file 2025-12-04T08:54:15.9268855Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/hub.py::load:0 2025-12-04T08:54:15.9269928Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/hub.py::_load_local:0, line 676 <- wrt source file 2025-12-04T08:54:15.9271065Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/hub.py::_load_local:0 2025-12-04T08:54:15.9272225Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/hub.py::download_url_to_file:0, line 711 <- wrt source file 2025-12-04T08:54:15.9273438Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/hub.py::download_url_to_file:0 2025-12-04T08:54:15.9274638Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/hub.py::load_state_dict_from_url:0, line 852 <- wrt source file 2025-12-04T08:54:15.9275896Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/hub.py::load_state_dict_from_url:0 2025-12-04T08:54:15.9277117Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::Library.define:0, line 145 <- wrt source file 2025-12-04T08:54:15.9278337Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::Library.define:0 2025-12-04T08:54:15.9280144Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::Library._impl_with_aoti_compile:0, line 239 <- wrt source file 2025-12-04T08:54:15.9281546Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::Library._impl_with_aoti_compile:0 2025-12-04T08:54:15.9282829Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::Library.impl:0, line 300 <- wrt source file 2025-12-04T08:54:15.9287346Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::Library.impl:0 2025-12-04T08:54:15.9288668Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::define:0, line 521 <- wrt source file 2025-12-04T08:54:15.9303434Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::define:0 2025-12-04T08:54:15.9304797Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::impl:0, line 627 <- wrt source file 2025-12-04T08:54:15.9326354Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::impl:0 2025-12-04T08:54:15.9327870Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::register_kernel:0, line 809 <- wrt source file 2025-12-04T08:54:15.9329113Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::register_kernel:0 2025-12-04T08:54:15.9330485Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::register_autocast:0, line 877 <- wrt source file 2025-12-04T08:54:15.9331730Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::register_autocast:0 2025-12-04T08:54:15.9333110Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::register_autograd:0, line 1164 <- wrt source file 2025-12-04T08:54:15.9558917Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::register_autograd:0 2025-12-04T08:54:15.9560895Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::register_torch_dispatch:0, line 1280 <- wrt source file 2025-12-04T08:54:15.9666770Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::register_torch_dispatch:0 2025-12-04T08:54:15.9668670Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::register_vmap:0, line 1369 <- wrt source file 2025-12-04T08:54:15.9849040Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::register_vmap:0 2025-12-04T08:54:15.9850837Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::opcheck:0, line 1694 <- wrt source file 2025-12-04T08:54:15.9852608Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py::opcheck:0 2025-12-04T08:54:15.9854449Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/overrides.py::get_ignored_functions:0, line 117 <- wrt source file 2025-12-04T08:54:15.9858603Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/overrides.py::get_ignored_functions:0 2025-12-04T08:54:15.9860622Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/overrides.py::get_testing_overrides:0, line 435 <- wrt source file 2025-12-04T08:54:15.9893710Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/overrides.py::get_testing_overrides:0 2025-12-04T08:54:15.9895640Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/overrides.py::wrap_torch_function:0, line 1589 <- wrt source file 2025-12-04T08:54:15.9898294Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/overrides.py::wrap_torch_function:0 2025-12-04T08:54:15.9900308Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/overrides.py::handle_torch_function:0, line 1725 <- wrt source file 2025-12-04T08:54:15.9902962Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/overrides.py::handle_torch_function:0 2025-12-04T08:54:15.9904970Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/overrides.py::is_tensor_method_or_property:0, line 1974 <- wrt source file 2025-12-04T08:54:15.9931456Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/overrides.py::is_tensor_method_or_property:0 2025-12-04T08:54:15.9933446Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/overrides.py::is_tensor_like:0, line 1993 <- wrt source file 2025-12-04T08:54:15.9940563Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/overrides.py::is_tensor_like:0 2025-12-04T08:54:15.9942411Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/quasirandom.py::SobolEngine:0, line 39 <- wrt source file 2025-12-04T08:54:15.9944293Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/quasirandom.py::SobolEngine:0 2025-12-04T08:54:15.9946185Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/serialization.py::add_safe_globals:0, line 300 <- wrt source file 2025-12-04T08:54:15.9948169Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/serialization.py::add_safe_globals:0 2025-12-04T08:54:15.9950066Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/serialization.py::safe_globals:0, line 325 <- wrt source file 2025-12-04T08:54:15.9952152Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/serialization.py::safe_globals:0 2025-12-04T08:54:15.9953996Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/serialization.py::skip_data:0, line 401 <- wrt source file 2025-12-04T08:54:15.9955863Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/serialization.py::skip_data:0 2025-12-04T08:54:15.9957778Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/serialization.py::register_package:0, line 473 <- wrt source file 2025-12-04T08:54:15.9959772Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/serialization.py::register_package:0 2025-12-04T08:54:15.9961614Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/serialization.py::save:0, line 960 <- wrt source file 2025-12-04T08:54:15.9963417Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/serialization.py::save:0 2025-12-04T08:54:15.9965194Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/serialization.py::load:0, line 1379 <- wrt source file 2025-12-04T08:54:15.9967000Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/serialization.py::load:0 2025-12-04T08:54:15.9968819Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/torch_version.py::TorchVersion:0, line 19 <- wrt source file 2025-12-04T08:54:15.9970719Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/torch_version.py::TorchVersion:0 2025-12-04T08:54:15.9972659Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/__init__.py::list_mode_options:0, line 349 <- wrt source file 2025-12-04T08:54:15.9974685Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/__init__.py::list_mode_options:0 2025-12-04T08:54:15.9976652Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/__init__.py::list_options:0, line 388 <- wrt source file 2025-12-04T08:54:15.9980161Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/__init__.py::list_options:0 2025-12-04T08:54:15.9982302Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0, line 1911 <- wrt source file 2025-12-04T08:54:15.9987147Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0 2025-12-04T08:54:15.9990495Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/accelerator/__init__.py::current_accelerator:0, line 117 <- wrt source file 2025-12-04T08:54:15.9993960Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/accelerator/__init__.py::current_accelerator:0 2025-12-04T08:54:15.9996091Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/accelerator/__init__.py::get_device_capability:0, line 171 <- wrt source file 2025-12-04T08:54:15.9998271Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/accelerator/__init__.py::get_device_capability:0 2025-12-04T08:54:16.0000332Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/accelerator/__init__.py::device_index:0, line 276 <- wrt source file 2025-12-04T08:54:16.0002537Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/accelerator/__init__.py::device_index:0 2025-12-04T08:54:16.0004492Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::allow_in_graph:0, line 130 <- wrt source file 2025-12-04T08:54:16.0006476Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::allow_in_graph:0 2025-12-04T08:54:16.0008631Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::substitute_in_graph:0, line 186 <- wrt source file 2025-12-04T08:54:16.3033181Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::substitute_in_graph:0 2025-12-04T08:54:16.3034530Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::wrap_numpy:0, line 416 <- wrt source file 2025-12-04T08:54:16.3035806Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::wrap_numpy:0 2025-12-04T08:54:16.3037084Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::is_compiling:0, line 448 <- wrt source file 2025-12-04T08:54:16.3039006Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::is_compiling:0 2025-12-04T08:54:16.3040388Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0, line 469 <- wrt source file 2025-12-04T08:54:16.3043720Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0 2025-12-04T08:54:16.3045038Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::is_exporting:0, line 487 <- wrt source file 2025-12-04T08:54:16.3046595Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::is_exporting:0 2025-12-04T08:54:16.3047929Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0, line 502 <- wrt source file 2025-12-04T08:54:16.3049322Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0 2025-12-04T08:54:16.3050668Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0, line 522 <- wrt source file 2025-12-04T08:54:16.3052043Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0 2025-12-04T08:54:16.3053352Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/__init__.py::_compile_kernel:0, line 1788 <- wrt source file 2025-12-04T08:54:16.3054624Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/__init__.py::_compile_kernel:0 2025-12-04T08:54:16.3056100Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/export/__init__.py::save:0, line 349 <- wrt source file 2025-12-04T08:54:16.3057290Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/export/__init__.py::save:0 2025-12-04T08:54:16.3058459Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/export/__init__.py::load:0, line 422 <- wrt source file 2025-12-04T08:54:16.3059723Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/export/__init__.py::load:0 2025-12-04T08:54:16.3060979Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/export/__init__.py::register_dataclass:0, line 581 <- wrt source file 2025-12-04T08:54:16.3062308Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/export/__init__.py::register_dataclass:0 2025-12-04T08:54:16.3063598Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/futures/__init__.py::Future.then:0, line 152 <- wrt source file 2025-12-04T08:54:16.3064866Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/futures/__init__.py::Future.then:0 2025-12-04T08:54:16.3066321Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/futures/__init__.py::Future.add_done_callback:0, line 201 <- wrt source file 2025-12-04T08:54:16.3067749Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/futures/__init__.py::Future.add_done_callback:0 2025-12-04T08:54:16.3069085Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/futures/__init__.py::Future.set_result:0, line 235 <- wrt source file 2025-12-04T08:54:16.3070418Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/futures/__init__.py::Future.set_result:0 2025-12-04T08:54:16.3071763Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/futures/__init__.py::Future.set_exception:0, line 265 <- wrt source file 2025-12-04T08:54:16.3073125Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/futures/__init__.py::Future.set_exception:0 2025-12-04T08:54:16.3074406Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/futures/__init__.py::collect_all:0, line 299 <- wrt source file 2025-12-04T08:54:16.3075675Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/futures/__init__.py::collect_all:0 2025-12-04T08:54:16.3076883Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/jit/__init__.py::annotate:0, line 147 <- wrt source file 2025-12-04T08:54:16.3078080Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/jit/__init__.py::annotate:0 2025-12-04T08:54:16.3079373Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0, line 22 <- wrt source file 2025-12-04T08:54:16.3080803Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0 2025-12-04T08:54:16.3082122Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/mps/__init__.py::compile_shader:0, line 148 <- wrt source file 2025-12-04T08:54:16.3084069Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/mps/__init__.py::compile_shader:0 2025-12-04T08:54:16.3085958Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nested/__init__.py::as_nested_tensor:0, line 61 <- wrt source file 2025-12-04T08:54:16.3101346Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nested/__init__.py::as_nested_tensor:0 2025-12-04T08:54:16.3103683Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nested/__init__.py::nested_tensor:0, line 240 <- wrt source file 2025-12-04T08:54:16.3109503Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nested/__init__.py::nested_tensor:0 2025-12-04T08:54:16.3111361Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nested/__init__.py::narrow:0, line 315 <- wrt source file 2025-12-04T08:54:16.3163141Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nested/__init__.py::narrow:0 2025-12-04T08:54:16.3165104Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0, line 405 <- wrt source file 2025-12-04T08:54:16.3172254Z W1204 08:54:16.316000 1413 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. 2025-12-04T08:54:16.3191333Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0 2025-12-04T08:54:16.3193518Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nested/__init__.py::masked_select:0, line 481 <- wrt source file 2025-12-04T08:54:16.3212698Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nested/__init__.py::masked_select:0 2025-12-04T08:54:16.3214501Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/sparse/__init__.py::sum:0, line 223 <- wrt source file 2025-12-04T08:54:16.3224501Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/sparse/__init__.py::sum:0 2025-12-04T08:54:16.3226507Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0, line 475 <- wrt source file 2025-12-04T08:54:16.3234797Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0 2025-12-04T08:54:16.3236890Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0, line 561 <- wrt source file 2025-12-04T08:54:16.3282959Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0 2025-12-04T08:54:16.3285019Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0, line 361 <- wrt source file 2025-12-04T08:54:16.3287139Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0 2025-12-04T08:54:16.3289342Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0, line 328 <- wrt source file 2025-12-04T08:54:16.3291669Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0 2025-12-04T08:54:16.3294202Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/variables/higher_order_ops.py::speculate_subgraph_with_auto_output_flattening:0, line 1316 <- wrt source file 2025-12-04T08:54:16.3297017Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/variables/higher_order_ops.py::speculate_subgraph_with_auto_output_flattening:0 2025-12-04T08:54:16.3299565Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0, line 1441 <- wrt source file 2025-12-04T08:54:16.3302225Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0 2025-12-04T08:54:16.3304648Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0, line 194 <- wrt source file 2025-12-04T08:54:16.3307198Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0 2025-12-04T08:54:16.3309508Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_export/wrappers.py::allow_in_pre_dispatch_graph:0, line 262 <- wrt source file 2025-12-04T08:54:16.3311709Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_export/wrappers.py::allow_in_pre_dispatch_graph:0 2025-12-04T08:54:16.3313806Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/aot_autograd.py::aot_function:0, line 771 <- wrt source file 2025-12-04T08:54:16.3641647Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/aot_autograd.py::aot_function:0 2025-12-04T08:54:16.3643806Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0, line 184 <- wrt source file 2025-12-04T08:54:16.3646288Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0 2025-12-04T08:54:16.3648370Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::vjp:0, line 234 <- wrt source file 2025-12-04T08:54:16.3688535Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::vjp:0 2025-12-04T08:54:16.3690517Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::jacrev:0, line 476 <- wrt source file 2025-12-04T08:54:16.3760226Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::jacrev:0 2025-12-04T08:54:16.3762777Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::jvp:0, line 1024 <- wrt source file 2025-12-04T08:54:16.4262585Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::jvp:0 2025-12-04T08:54:16.4264980Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0, line 1182 <- wrt source file 2025-12-04T08:54:16.4333590Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0 2025-12-04T08:54:16.4336123Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::hessian:0, line 1342 <- wrt source file 2025-12-04T08:54:16.4356620Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::hessian:0 2025-12-04T08:54:16.4359486Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::functionalize:0, line 1506 <- wrt source file 2025-12-04T08:54:16.4364277Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::functionalize:0 2025-12-04T08:54:16.4366875Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::linearize:0, line 1705 <- wrt source file 2025-12-04T08:54:16.4563604Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/eager_transforms.py::linearize:0 2025-12-04T08:54:16.4566662Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/functional_call.py::functional_call:0, line 36 <- wrt source file 2025-12-04T08:54:16.4570990Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/functional_call.py::functional_call:0 2025-12-04T08:54:16.4573771Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/fx_minifier.py::minifier:0, line 194 <- wrt source file 2025-12-04T08:54:16.4576475Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/fx_minifier.py::minifier:0 2025-12-04T08:54:16.4579455Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0, line 1111 <- wrt source file 2025-12-04T08:54:16.4582572Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0 2025-12-04T08:54:16.4585816Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/_aot_autograd/schemas.py::InductorWrapper.post_compile:0, line 1166 <- wrt source file 2025-12-04T08:54:16.4589225Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/_aot_autograd/schemas.py::InductorWrapper.post_compile:0 2025-12-04T08:54:16.4592722Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0, line 183 <- wrt source file 2025-12-04T08:54:16.4595863Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0 2025-12-04T08:54:16.4599046Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0, line 319 <- wrt source file 2025-12-04T08:54:16.4602580Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0 2025-12-04T08:54:16.4605438Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/cond.py::cond:0, line 139 <- wrt source file 2025-12-04T08:54:16.4608027Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/cond.py::cond:0 2025-12-04T08:54:16.4610761Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0, line 80 <- wrt source file 2025-12-04T08:54:16.4613530Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0 2025-12-04T08:54:16.4616125Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/map.py::map:0, line 80 <- wrt source file 2025-12-04T08:54:16.4618555Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/map.py::map:0 2025-12-04T08:54:16.4621370Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/partitioner.py::HopPartitionedGraph._reorder_fw_output:0, line 133 <- wrt source file 2025-12-04T08:54:16.4624364Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/partitioner.py::HopPartitionedGraph._reorder_fw_output:0 2025-12-04T08:54:16.4626907Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/scan.py::scan:0, line 130 <- wrt source file 2025-12-04T08:54:16.4628941Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_higher_order_ops/scan.py::scan:0 2025-12-04T08:54:16.4631167Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/codecache.py::WritableTempFile:0, line 385 <- wrt source file 2025-12-04T08:54:16.4633562Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/codecache.py::WritableTempFile:0 2025-12-04T08:54:16.4635877Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0, line 1845 <- wrt source file 2025-12-04T08:54:16.4638354Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0 2025-12-04T08:54:16.4640672Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0, line 4328 <- wrt source file 2025-12-04T08:54:16.4642963Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0 2025-12-04T08:54:16.4645106Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/fx_passes/graph_view.py::_clean_stack_name:0, line 100 <- wrt source file 2025-12-04T08:54:16.4647334Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/fx_passes/graph_view.py::_clean_stack_name:0 2025-12-04T08:54:16.4649684Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/kernel/custom_op.py::CustomOpConfig:0, line 56 <- wrt source file 2025-12-04T08:54:16.4651849Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/kernel/custom_op.py::CustomOpConfig:0 2025-12-04T08:54:16.4654089Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/kernel/custom_op.py::register_custom_op_autotuning:0, line 423 <- wrt source file 2025-12-04T08:54:16.4656474Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/kernel/custom_op.py::register_custom_op_autotuning:0 2025-12-04T08:54:16.4658977Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_lock_with_timeout:0, line 69 <- wrt source file 2025-12-04T08:54:16.4661442Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_lock_with_timeout:0 2025-12-04T08:54:16.4664251Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_lock_with_timeout:0, line 105 <- wrt source file 2025-12-04T08:54:16.4667659Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_lock_with_timeout:0 2025-12-04T08:54:16.4670688Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_flock_with_timeout:0, line 142 <- wrt source file 2025-12-04T08:54:16.4673511Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_flock_with_timeout:0 2025-12-04T08:54:16.4676301Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_flock_with_timeout:0, line 179 <- wrt source file 2025-12-04T08:54:16.4679202Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_flock_with_timeout:0 2025-12-04T08:54:16.4682037Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/template_heuristics/registry.py::register_template_heuristic:0, line 54 <- wrt source file 2025-12-04T08:54:16.4684954Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_inductor/template_heuristics/registry.py::register_template_heuristic:0 2025-12-04T08:54:16.4687580Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py::custom_op:0, line 101 <- wrt source file 2025-12-04T08:54:16.4996315Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py::custom_op:0 2025-12-04T08:54:16.4998898Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0, line 241 <- wrt source file 2025-12-04T08:54:16.5092930Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0 2025-12-04T08:54:16.5095928Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0, line 310 <- wrt source file 2025-12-04T08:54:16.5098954Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0 2025-12-04T08:54:16.5102143Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0, line 549 <- wrt source file 2025-12-04T08:54:16.5283139Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0 2025-12-04T08:54:16.5286364Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0, line 724 <- wrt source file 2025-12-04T08:54:16.5469318Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0 2025-12-04T08:54:16.5472280Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0, line 810 <- wrt source file 2025-12-04T08:54:16.5475304Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0 2025-12-04T08:54:16.5478027Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0, line 273 <- wrt source file 2025-12-04T08:54:16.5480837Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0 2025-12-04T08:54:16.5483376Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0, line 175 <- wrt source file 2025-12-04T08:54:16.5559583Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0 2025-12-04T08:54:16.5562165Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/infer_schema.py::infer_schema:0, line 53 <- wrt source file 2025-12-04T08:54:16.5569363Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/infer_schema.py::infer_schema:0 2025-12-04T08:54:16.5571895Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/triton.py::triton_op:0, line 136 <- wrt source file 2025-12-04T08:54:16.5574206Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/triton.py::triton_op:0 2025-12-04T08:54:16.5576193Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/triton.py::wrap_triton:0, line 307 <- wrt source file 2025-12-04T08:54:16.5578498Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/triton.py::wrap_triton:0 2025-12-04T08:54:16.5580615Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_logging/_internal.py::set_logs:0, line 460 <- wrt source file 2025-12-04T08:54:16.5582956Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_logging/_internal.py::set_logs:0 2025-12-04T08:54:16.5585103Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_equal:0, line 171 <- wrt source file 2025-12-04T08:54:16.5618450Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_equal:0 2025-12-04T08:54:16.5621017Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::print_assert_equal:0, line 302 <- wrt source file 2025-12-04T08:54:16.5623471Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::print_assert_equal:0 2025-12-04T08:54:16.5625991Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_almost_equal:0, line 375 <- wrt source file 2025-12-04T08:54:16.5668038Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_almost_equal:0 2025-12-04T08:54:16.5670598Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_approx_equal:0, line 496 <- wrt source file 2025-12-04T08:54:16.5673659Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_approx_equal:0 2025-12-04T08:54:16.5676148Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_array_equal:0, line 793 <- wrt source file 2025-12-04T08:54:16.5735441Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_array_equal:0 2025-12-04T08:54:16.5738050Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal:0, line 899 <- wrt source file 2025-12-04T08:54:16.5796736Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal:0 2025-12-04T08:54:16.5799332Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0, line 1008 <- wrt source file 2025-12-04T08:54:16.5851677Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0 2025-12-04T08:54:16.5854307Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0, line 1073 <- wrt source file 2025-12-04T08:54:16.5856927Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0 2025-12-04T08:54:16.5859587Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0, line 1294 <- wrt source file 2025-12-04T08:54:16.5874622Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0 2025-12-04T08:54:16.5877181Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0, line 1360 <- wrt source file 2025-12-04T08:54:16.5880299Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0 2025-12-04T08:54:16.5882994Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0, line 1423 <- wrt source file 2025-12-04T08:54:16.5887614Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0 2025-12-04T08:54:16.5890297Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0, line 1468 <- wrt source file 2025-12-04T08:54:16.5893052Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0 2025-12-04T08:54:16.5895391Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_warns:0, line 1578 <- wrt source file 2025-12-04T08:54:16.5897917Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::assert_warns:0 2025-12-04T08:54:16.5899413Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::clear_and_catch_warnings:0, line 1881 <- wrt source file 2025-12-04T08:54:16.5901822Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_numpy/testing/utils.py::clear_and_catch_warnings:0 2025-12-04T08:54:16.5903527Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_prims/context.py::TorchRefsMode:0, line 95 <- wrt source file 2025-12-04T08:54:16.5905053Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_prims/context.py::TorchRefsMode:0 2025-12-04T08:54:16.5906513Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_subclasses/complex_tensor/_ops/common.py::is_complex_tensor:0, line 47 <- wrt source file 2025-12-04T08:54:16.5908435Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_subclasses/complex_tensor/_ops/common.py::is_complex_tensor:0 2025-12-04T08:54:16.5909861Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/amp/grad_scaler.py::GradScaler:0, line 64 <- wrt source file 2025-12-04T08:54:16.5911178Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/amp/grad_scaler.py::GradScaler:0 2025-12-04T08:54:16.5912588Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0, line 34 <- wrt source file 2025-12-04T08:54:16.5914173Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0 2025-12-04T08:54:16.5915823Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0, line 24 <- wrt source file 2025-12-04T08:54:16.5917568Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0 2025-12-04T08:54:16.5919224Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0, line 25 <- wrt source file 2025-12-04T08:54:16.5920872Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0 2025-12-04T08:54:16.5922524Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0, line 67 <- wrt source file 2025-12-04T08:54:16.5924249Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0 2025-12-04T08:54:16.5925879Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0, line 142 <- wrt source file 2025-12-04T08:54:16.5927535Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0 2025-12-04T08:54:16.5929028Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0, line 29 <- wrt source file 2025-12-04T08:54:16.5935444Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0 2025-12-04T08:54:16.5936843Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0, line 413 <- wrt source file 2025-12-04T08:54:16.5968369Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0 2025-12-04T08:54:16.5970791Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0, line 210 <- wrt source file 2025-12-04T08:54:16.5972692Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0 2025-12-04T08:54:16.5974034Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0, line 282 <- wrt source file 2025-12-04T08:54:16.5975385Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0 2025-12-04T08:54:16.5976723Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0, line 358 <- wrt source file 2025-12-04T08:54:16.5978193Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0 2025-12-04T08:54:16.5979897Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0, line 95 <- wrt source file 2025-12-04T08:54:16.5981355Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0 2025-12-04T08:54:16.5982769Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0, line 145 <- wrt source file 2025-12-04T08:54:16.5987681Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0 2025-12-04T08:54:16.5989158Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0, line 43 <- wrt source file 2025-12-04T08:54:16.5990818Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0 2025-12-04T08:54:16.5992438Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0, line 126 <- wrt source file 2025-12-04T08:54:16.5994069Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0 2025-12-04T08:54:16.5995810Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0, line 212 <- wrt source file 2025-12-04T08:54:16.5997724Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0 2025-12-04T08:54:16.5999375Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0, line 300 <- wrt source file 2025-12-04T08:54:16.6001003Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0 2025-12-04T08:54:16.6002968Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0, line 383 <- wrt source file 2025-12-04T08:54:16.6004880Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0 2025-12-04T08:54:16.6006895Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0, line 466 <- wrt source file 2025-12-04T08:54:16.6008651Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0 2025-12-04T08:54:16.6010321Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0, line 30 <- wrt source file 2025-12-04T08:54:16.6011990Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0 2025-12-04T08:54:16.6013444Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0, line 516 <- wrt source file 2025-12-04T08:54:16.6014904Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0 2025-12-04T08:54:16.6016312Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0, line 803 <- wrt source file 2025-12-04T08:54:16.6017977Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0 2025-12-04T08:54:16.6020389Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0, line 1209 <- wrt source file 2025-12-04T08:54:16.6022798Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0 2025-12-04T08:54:16.6025116Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0, line 1276 <- wrt source file 2025-12-04T08:54:16.6027474Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0 2025-12-04T08:54:16.6029786Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0, line 1329 <- wrt source file 2025-12-04T08:54:16.6032118Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0 2025-12-04T08:54:16.6034357Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0, line 36 <- wrt source file 2025-12-04T08:54:16.6036632Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0 2025-12-04T08:54:16.6038788Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv1d:0, line 376 <- wrt source file 2025-12-04T08:54:16.6040962Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv1d:0 2025-12-04T08:54:16.6043088Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0, line 506 <- wrt source file 2025-12-04T08:54:16.6045273Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0 2025-12-04T08:54:16.6047359Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0, line 636 <- wrt source file 2025-12-04T08:54:16.6049516Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0 2025-12-04T08:54:16.6051745Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0, line 893 <- wrt source file 2025-12-04T08:54:16.6054193Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0 2025-12-04T08:54:16.6056506Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0, line 1015 <- wrt source file 2025-12-04T08:54:16.6058942Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0 2025-12-04T08:54:16.6061277Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0, line 1141 <- wrt source file 2025-12-04T08:54:16.6063638Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0 2025-12-04T08:54:16.6065981Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0, line 111 <- wrt source file 2025-12-04T08:54:16.6068421Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0 2025-12-04T08:54:16.6070833Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0, line 275 <- wrt source file 2025-12-04T08:54:16.6073397Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0 2025-12-04T08:54:16.6075913Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0, line 23 <- wrt source file 2025-12-04T08:54:16.6078543Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0 2025-12-04T08:54:16.6081083Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0, line 176 <- wrt source file 2025-12-04T08:54:16.6083640Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0 2025-12-04T08:54:16.6085982Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0, line 135 <- wrt source file 2025-12-04T08:54:16.6088193Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0 2025-12-04T08:54:16.6090272Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/rnn.py::LSTM:0, line 24 <- wrt source file 2025-12-04T08:54:16.6092382Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/nn/quantized/modules/rnn.py::LSTM:0 2025-12-04T08:54:16.6095009Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py::BaseDataScheduler.get_schedule_param:0, line 98 <- wrt source file 2025-12-04T08:54:16.6098190Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py::BaseDataScheduler.get_schedule_param:0 2025-12-04T08:54:16.6101261Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0, line 55 <- wrt source file 2025-12-04T08:54:16.6104413Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0 2025-12-04T08:54:16.6107164Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0, line 24 <- wrt source file 2025-12-04T08:54:16.6109557Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0 2025-12-04T08:54:16.6111951Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0, line 47 <- wrt source file 2025-12-04T08:54:16.6114446Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0 2025-12-04T08:54:16.6116989Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier.squash_mask:0, line 251 <- wrt source file 2025-12-04T08:54:16.6119705Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier.squash_mask:0 2025-12-04T08:54:16.6122128Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0, line 175 <- wrt source file 2025-12-04T08:54:16.6124383Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0 2025-12-04T08:54:16.6126754Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0, line 32 <- wrt source file 2025-12-04T08:54:16.6129161Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0 2025-12-04T08:54:16.6131557Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0, line 83 <- wrt source file 2025-12-04T08:54:16.6134063Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0 2025-12-04T08:54:16.6136651Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0, line 143 <- wrt source file 2025-12-04T08:54:16.6139152Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0 2025-12-04T08:54:16.6141628Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0, line 182 <- wrt source file 2025-12-04T08:54:16.6144224Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0 2025-12-04T08:54:16.6146532Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/observer.py::_with_args:0, line 110 <- wrt source file 2025-12-04T08:54:16.6148697Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/observer.py::_with_args:0 2025-12-04T08:54:16.6150877Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0, line 132 <- wrt source file 2025-12-04T08:54:16.6153183Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0 2025-12-04T08:54:16.6155358Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0, line 218 <- wrt source file 2025-12-04T08:54:16.6157507Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0 2025-12-04T08:54:16.6159624Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0, line 288 <- wrt source file 2025-12-04T08:54:16.6161938Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0 2025-12-04T08:54:16.6164166Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0, line 427 <- wrt source file 2025-12-04T08:54:16.6166452Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0 2025-12-04T08:54:16.6168647Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0, line 608 <- wrt source file 2025-12-04T08:54:16.6170850Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0 2025-12-04T08:54:16.6173132Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0, line 668 <- wrt source file 2025-12-04T08:54:16.6175572Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0 2025-12-04T08:54:16.6178133Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0, line 720 <- wrt source file 2025-12-04T08:54:16.6180857Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0 2025-12-04T08:54:16.6183274Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0, line 51 <- wrt source file 2025-12-04T08:54:16.6185583Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0 2025-12-04T08:54:16.6187879Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0, line 130 <- wrt source file 2025-12-04T08:54:16.6190243Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0 2025-12-04T08:54:16.6192517Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0, line 228 <- wrt source file 2025-12-04T08:54:16.6194809Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0 2025-12-04T08:54:16.6197029Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0, line 171 <- wrt source file 2025-12-04T08:54:16.6199244Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0 2025-12-04T08:54:16.6201418Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0, line 553 <- wrt source file 2025-12-04T08:54:16.6203867Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0 2025-12-04T08:54:16.6206128Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0, line 575 <- wrt source file 2025-12-04T08:54:16.6208426Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0 2025-12-04T08:54:16.6210655Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0, line 589 <- wrt source file 2025-12-04T08:54:16.6226495Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0 2025-12-04T08:54:16.6228871Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0, line 611 <- wrt source file 2025-12-04T08:54:16.6231151Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0 2025-12-04T08:54:16.6233299Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0, line 738 <- wrt source file 2025-12-04T08:54:16.6235503Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0 2025-12-04T08:54:16.6237860Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/backend_config/backend_config.py::DTypeConfig:0, line 216 <- wrt source file 2025-12-04T08:54:16.6240461Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/backend_config/backend_config.py::DTypeConfig:0 2025-12-04T08:54:16.6243012Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0, line 85 <- wrt source file 2025-12-04T08:54:16.6245749Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0 2025-12-04T08:54:16.6248308Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fx/_model_report/model_report.py::ModelReport:0, line 85 <- wrt source file 2025-12-04T08:54:16.6250849Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fx/_model_report/model_report.py::ModelReport:0 2025-12-04T08:54:16.6253774Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_filtered_tables:0, line 341 <- wrt source file 2025-12-04T08:54:16.6257217Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_filtered_tables:0 2025-12-04T08:54:16.6260634Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_table_visualization:0, line 429 <- wrt source file 2025-12-04T08:54:16.6264005Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_table_visualization:0 2025-12-04T08:54:16.6267344Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_plot_visualization:0, line 591 <- wrt source file 2025-12-04T08:54:16.6270742Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_plot_visualization:0 2025-12-04T08:54:16.6274115Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_histogram_visualization:0, line 664 <- wrt source file 2025-12-04T08:54:16.6277596Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_histogram_visualization:0 2025-12-04T08:54:16.6280531Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0, line 104 <- wrt source file 2025-12-04T08:54:16.6283256Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0 2025-12-04T08:54:16.6285840Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0, line 155 <- wrt source file 2025-12-04T08:54:16.6288457Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0 2025-12-04T08:54:16.6290966Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0, line 189 <- wrt source file 2025-12-04T08:54:16.6293507Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0 2025-12-04T08:54:16.6296104Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0, line 442 <- wrt source file 2025-12-04T08:54:16.6298845Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0 2025-12-04T08:54:16.6301280Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0, line 28 <- wrt source file 2025-12-04T08:54:16.6303636Z * SKIPPED: 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/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0 2025-12-04T08:54:16.6331759Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0, line 216 <- wrt source file 2025-12-04T08:54:16.6334357Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0 2025-12-04T08:54:16.6336797Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0, line 245 <- wrt source file 2025-12-04T08:54:16.6339359Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0 2025-12-04T08:54:16.6341536Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/function.py::Function:0, line 487 <- wrt source file 2025-12-04T08:54:16.6343519Z * SKIPPED: 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DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/functional.py::hessian:0, line 907 <- wrt source file 2025-12-04T08:54:16.6359315Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/functional.py::hessian:0 2025-12-04T08:54:16.6361232Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/functional.py::vhp:0, line 1026 <- wrt source file 2025-12-04T08:54:16.6363180Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/functional.py::vhp:0 2025-12-04T08:54:16.6365104Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/functional.py::hvp:0, line 1125 <- wrt source file 2025-12-04T08:54:16.6367047Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/functional.py::hvp:0 2025-12-04T08:54:16.6368935Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/grad_mode.py::no_grad:0, line 50 <- wrt source file 2025-12-04T08:54:16.6370902Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/grad_mode.py::no_grad:0 2025-12-04T08:54:16.6372857Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/grad_mode.py::enable_grad:0, line 108 <- wrt source file 2025-12-04T08:54:16.6374876Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/grad_mode.py::enable_grad:0 2025-12-04T08:54:16.6376899Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0, line 166 <- wrt source file 2025-12-04T08:54:16.6379068Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0 2025-12-04T08:54:16.6381136Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/grad_mode.py::inference_mode:0, line 252 <- wrt source file 2025-12-04T08:54:16.6383231Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/grad_mode.py::inference_mode:0 2025-12-04T08:54:16.6385283Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::Node.name:0, line 60 <- wrt source file 2025-12-04T08:54:16.6387195Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::Node.name:0 2025-12-04T08:54:16.6389177Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::Node.register_hook:0, line 117 <- wrt source file 2025-12-04T08:54:16.6391269Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::Node.register_hook:0 2025-12-04T08:54:16.6393351Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::Node.register_prehook:0, line 154 <- wrt source file 2025-12-04T08:54:16.6395486Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::Node.register_prehook:0 2025-12-04T08:54:16.6397579Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0, line 292 <- wrt source file 2025-12-04T08:54:16.6399681Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0 2025-12-04T08:54:16.6402021Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::save_on_cpu:0, line 362 <- wrt source file 2025-12-04T08:54:16.6403979Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::save_on_cpu:0 2025-12-04T08:54:16.6406041Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0, line 419 <- wrt source file 2025-12-04T08:54:16.6408295Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0 2025-12-04T08:54:16.6410493Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0, line 503 <- wrt source file 2025-12-04T08:54:16.6412666Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0 2025-12-04T08:54:16.6414886Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0, line 777 <- wrt source file 2025-12-04T08:54:16.6417185Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0 2025-12-04T08:54:16.6419342Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/profiler.py::profile:0, line 182 <- wrt source file 2025-12-04T08:54:16.6421316Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/profiler.py::profile:0 2025-12-04T08:54:16.6423300Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/profiler.py::record_function:0, line 760 <- wrt source file 2025-12-04T08:54:16.6425412Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/profiler.py::record_function:0 2025-12-04T08:54:16.6427421Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/profiler.py::emit_itt:0, line 899 <- wrt source file 2025-12-04T08:54:16.6429386Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/profiler.py::emit_itt:0 2025-12-04T08:54:16.6431316Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/profiler.py::emit_nvtx:0, line 972 <- wrt source file 2025-12-04T08:54:16.6433310Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/profiler.py::emit_nvtx:0 2025-12-04T08:54:16.6435436Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/profiler_util.py::EventList:0, line 60 <- wrt source file 2025-12-04T08:54:16.6437532Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/autograd/profiler_util.py::EventList:0 2025-12-04T08:54:16.6439514Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/gds.py::gds_register_buffer:0, line 43 <- wrt source file 2025-12-04T08:54:16.6441484Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/gds.py::gds_register_buffer:0 2025-12-04T08:54:16.6443439Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0, line 59 <- wrt source file 2025-12-04T08:54:16.6445456Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0 2025-12-04T08:54:16.6447313Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/gds.py::GdsFile:0, line 86 <- wrt source file 2025-12-04T08:54:16.6449109Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/gds.py::GdsFile:0 2025-12-04T08:54:16.6451069Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0, line 114 <- wrt source file 2025-12-04T08:54:16.6453076Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0 2025-12-04T08:54:16.6455044Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1, line 125 <- wrt source file 2025-12-04T08:54:16.6457027Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1 2025-12-04T08:54:16.6459095Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2, line 140 <- wrt source file 2025-12-04T08:54:16.6461119Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2 2025-12-04T08:54:16.6463201Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0, line 173 <- wrt source file 2025-12-04T08:54:16.6465432Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0 2025-12-04T08:54:16.6467435Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/profiler.py::profile:0, line 75 <- wrt source file 2025-12-04T08:54:16.6469332Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/profiler.py::profile:0 2025-12-04T08:54:16.6471444Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.composition:0, line 125 <- wrt source file 2025-12-04T08:54:16.6473812Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.composition:0 2025-12-04T08:54:16.6476130Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.complement:0, line 142 <- wrt source file 2025-12-04T08:54:16.6478493Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.complement:0 2025-12-04T08:54:16.6480822Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.remap_to_tensor:0, line 281 <- wrt source file 2025-12-04T08:54:16.6483227Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.remap_to_tensor:0 2025-12-04T08:54:16.6485532Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0, line 167 <- wrt source file 2025-12-04T08:54:16.6487662Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0 2025-12-04T08:54:16.6489906Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0, line 1027 <- wrt source file 2025-12-04T08:54:16.6492286Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0 2025-12-04T08:54:16.6494558Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/device_mesh.py::init_device_mesh:0, line 1317 <- wrt source file 2025-12-04T08:54:16.6496784Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/device_mesh.py::init_device_mesh:0 2025-12-04T08:54:16.6499127Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/distributed_c10d.py::_coalescing_manager:0, line 2652 <- wrt source file 2025-12-04T08:54:16.6501534Z * SKIPPED: 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* SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/distributed_c10d.py::scatter_object_list:0 2025-12-04T08:54:16.6546103Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/distributed_c10d.py::all_gather:0, line 3947 <- wrt source file 2025-12-04T08:54:16.6548329Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/distributed_c10d.py::all_gather:0 2025-12-04T08:54:16.6550636Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/distributed_c10d.py::all_gather_into_tensor:0, line 4054 <- wrt source file 2025-12-04T08:54:16.6553057Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/distributed_c10d.py::all_gather_into_tensor:0 2025-12-04T08:54:16.6555533Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/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_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/format_utils.py::DynamicMetaLoadPlanner:0, line 173 <- wrt source file 2025-12-04T08:54:16.6845699Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/format_utils.py::DynamicMetaLoadPlanner:0 2025-12-04T08:54:16.6848346Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/optimizer.py::load_sharded_optimizer_state_dict:0, line 228 <- wrt source file 2025-12-04T08:54:16.6851073Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/optimizer.py::load_sharded_optimizer_state_dict:0 2025-12-04T08:54:16.6853595Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/state_dict.py::get_state_dict:0, line 1276 <- wrt source file 2025-12-04T08:54:16.6856009Z * SKIPPED: 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2025-12-04T08:54:16.7229217Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/parallel/style.py::RowwiseParallel:0, line 198 <- wrt source file 2025-12-04T08:54:16.7231687Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/parallel/style.py::RowwiseParallel:0 2025-12-04T08:54:16.7234098Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/parallel/style.py::SequenceParallel:0, line 350 <- wrt source file 2025-12-04T08:54:16.7236601Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/parallel/style.py::SequenceParallel:0 2025-12-04T08:54:16.7239062Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInput:0, line 452 <- wrt source file 2025-12-04T08:54:16.7241608Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInput:0 2025-12-04T08:54:16.7244239Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleOutput:0, line 614 <- wrt source file 2025-12-04T08:54:16.7246783Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleOutput:0 2025-12-04T08:54:16.7249365Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInputOutput:0, line 740 <- wrt source file 2025-12-04T08:54:16.7252043Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInputOutput:0 2025-12-04T08:54:16.7254385Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/bernoulli.py::Bernoulli:0, line 30 <- wrt source file 2025-12-04T08:54:16.7256506Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/bernoulli.py::Bernoulli:0 2025-12-04T08:54:16.7258493Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/beta.py::Beta:0, line 21 <- wrt source file 2025-12-04T08:54:16.7260508Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/beta.py::Beta:0 2025-12-04T08:54:16.7262574Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/binomial.py::Binomial:0, line 31 <- wrt source file 2025-12-04T08:54:16.7264644Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/binomial.py::Binomial:0 2025-12-04T08:54:16.7266756Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/categorical.py::Categorical:0, line 42 <- wrt source file 2025-12-04T08:54:16.7268992Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/categorical.py::Categorical:0 2025-12-04T08:54:16.7271055Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/cauchy.py::Cauchy:0, line 23 <- wrt source file 2025-12-04T08:54:16.7273075Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/cauchy.py::Cauchy:0 2025-12-04T08:54:16.7275000Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/chi2.py::Chi2:0, line 18 <- wrt source file 2025-12-04T08:54:16.7276950Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/chi2.py::Chi2:0 2025-12-04T08:54:16.7279024Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/constraints.py::is_dependent:0, line 167 <- wrt source file 2025-12-04T08:54:16.7281260Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/constraints.py::is_dependent:0 2025-12-04T08:54:16.7283521Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/constraints.py::_DependentProperty:0, line 188 <- wrt source file 2025-12-04T08:54:16.7285888Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/constraints.py::_DependentProperty:0 2025-12-04T08:54:16.7288316Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0, line 35 <- wrt source file 2025-12-04T08:54:16.7290868Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0 2025-12-04T08:54:16.7293147Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/dirichlet.py::Dirichlet:0, line 44 <- wrt source file 2025-12-04T08:54:16.7295270Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/dirichlet.py::Dirichlet:0 2025-12-04T08:54:16.7297465Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/exponential.py::Exponential:0, line 20 <- wrt source file 2025-12-04T08:54:16.7299750Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/exponential.py::Exponential:0 2025-12-04T08:54:16.7302246Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0, line 21 <- wrt source file 2025-12-04T08:54:16.7304596Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0 2025-12-04T08:54:16.7306674Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/gamma.py::Gamma:0, line 24 <- wrt source file 2025-12-04T08:54:16.7308641Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/gamma.py::Gamma:0 2025-12-04T08:54:16.7310834Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0, line 26 <- wrt source file 2025-12-04T08:54:16.7313286Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0 2025-12-04T08:54:16.7315643Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/geometric.py::Geometric:0, line 36 <- wrt source file 2025-12-04T08:54:16.7317779Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/geometric.py::Geometric:0 2025-12-04T08:54:16.7319797Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/gumbel.py::Gumbel:0, line 23 <- wrt source file 2025-12-04T08:54:16.7321794Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/gumbel.py::Gumbel:0 2025-12-04T08:54:16.7323866Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0, line 24 <- wrt source file 2025-12-04T08:54:16.7326031Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0 2025-12-04T08:54:16.7328157Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/half_normal.py::HalfNormal:0, line 24 <- wrt source file 2025-12-04T08:54:16.7330301Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/half_normal.py::HalfNormal:0 2025-12-04T08:54:16.7332452Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/independent.py::Independent:0, line 27 <- wrt source file 2025-12-04T08:54:16.7334680Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/independent.py::Independent:0 2025-12-04T08:54:16.7336884Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0, line 24 <- wrt source file 2025-12-04T08:54:16.7339190Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0 2025-12-04T08:54:16.7341386Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0, line 30 <- wrt source file 2025-12-04T08:54:16.7343690Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0 2025-12-04T08:54:16.7345761Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/laplace.py::Laplace:0, line 20 <- wrt source file 2025-12-04T08:54:16.7347819Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/laplace.py::Laplace:0 2025-12-04T08:54:16.7350015Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0, line 43 <- wrt source file 2025-12-04T08:54:16.7352237Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0 2025-12-04T08:54:16.7354355Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/log_normal.py::LogNormal:0, line 23 <- wrt source file 2025-12-04T08:54:16.7356491Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/log_normal.py::LogNormal:0 2025-12-04T08:54:16.7358680Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0, line 28 <- wrt source file 2025-12-04T08:54:16.7361021Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0 2025-12-04T08:54:16.7363565Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/lowrank_multivariate_normal.py::LowRankMultivariateNormal:0, line 63 <- wrt source file 2025-12-04T08:54:16.7366444Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/lowrank_multivariate_normal.py::LowRankMultivariateNormal:0 2025-12-04T08:54:16.7369003Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/mixture_same_family.py::MixtureSameFamily:0, line 24 <- wrt source file 2025-12-04T08:54:16.7371472Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/mixture_same_family.py::MixtureSameFamily:0 2025-12-04T08:54:16.7373781Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/multinomial.py::Multinomial:0, line 38 <- wrt source file 2025-12-04T08:54:16.7375983Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/multinomial.py::Multinomial:0 2025-12-04T08:54:16.7378331Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0, line 103 <- wrt source file 2025-12-04T08:54:16.7380927Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0 2025-12-04T08:54:16.7383128Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/normal.py::Normal:0, line 22 <- wrt source file 2025-12-04T08:54:16.7385146Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/normal.py::Normal:0 2025-12-04T08:54:16.7387346Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0, line 34 <- wrt source file 2025-12-04T08:54:16.7389786Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0 2025-12-04T08:54:16.7391970Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/pareto.py::Pareto:0, line 20 <- wrt source file 2025-12-04T08:54:16.7393993Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/pareto.py::Pareto:0 2025-12-04T08:54:16.7395969Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/poisson.py::Poisson:0, line 25 <- wrt source file 2025-12-04T08:54:16.7398004Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/poisson.py::Poisson:0 2025-12-04T08:54:16.7400328Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0, line 130 <- wrt source file 2025-12-04T08:54:16.7402971Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0 2025-12-04T08:54:16.7405437Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0, line 117 <- wrt source file 2025-12-04T08:54:16.7408045Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0 2025-12-04T08:54:16.7410323Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/studentT.py::StudentT:0, line 22 <- wrt source file 2025-12-04T08:54:16.7412405Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/studentT.py::StudentT:0 2025-12-04T08:54:16.7414555Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/transforms.py::CatTransform:0, line 1076 <- wrt source file 2025-12-04T08:54:16.7416757Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/transforms.py::CatTransform:0 2025-12-04T08:54:16.7419172Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/transforms.py::StackTransform:0, line 1190 <- wrt source file 2025-12-04T08:54:16.7421457Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/transforms.py::StackTransform:0 2025-12-04T08:54:16.7423879Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0, line 1268 <- wrt source file 2025-12-04T08:54:16.7426499Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0 2025-12-04T08:54:16.7428764Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/uniform.py::Uniform:0, line 21 <- wrt source file 2025-12-04T08:54:16.7430805Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/uniform.py::Uniform:0 2025-12-04T08:54:16.7432830Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/utils.py::clamp_probs:0, line 114 <- wrt source file 2025-12-04T08:54:16.7434896Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/utils.py::clamp_probs:0 2025-12-04T08:54:16.7436944Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/von_mises.py::VonMises:0, line 119 <- wrt source file 2025-12-04T08:54:16.7439039Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/von_mises.py::VonMises:0 2025-12-04T08:54:16.7441065Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributions/weibull.py::Weibull:0, line 22 <- wrt source file 2025-12-04T08:54:16.7443131Z * SUCCESS: 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/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/passes/graph_drawer.py::FxGraphDrawer.get_dot_graph:0, line 129 <- wrt source file 2025-12-04T08:54:16.7733045Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/passes/graph_drawer.py::FxGraphDrawer.get_dot_graph:0 2025-12-04T08:54:16.7735212Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/passes/shape_prop.py::ShapeProp:0, line 99 <- wrt source file 2025-12-04T08:54:16.7737397Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/passes/shape_prop.py::ShapeProp:0 2025-12-04T08:54:16.7739497Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/passes/split_module.py::split_module:0, line 94 <- wrt source file 2025-12-04T08:54:16.7741640Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/passes/split_module.py::split_module:0 2025-12-04T08:54:16.7744156Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/passes/utils/matcher_with_name_node_map_utils.py::SubgraphMatcherWithNameNodeMap:0, line 51 <- wrt source file 2025-12-04T08:54:16.7747088Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/fx/passes/utils/matcher_with_name_node_map_utils.py::SubgraphMatcherWithNameNodeMap:0 2025-12-04T08:54:16.7749638Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0, line 37 <- wrt source file 2025-12-04T08:54:16.7751910Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0 2025-12-04T08:54:16.7754129Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/jit/mobile/__init__.py::_load_for_lite_interpreter:0, line 22 <- wrt source file 2025-12-04T08:54:16.7756503Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/jit/mobile/__init__.py::_load_for_lite_interpreter:0 2025-12-04T08:54:16.7758800Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0, line 125 <- wrt source file 2025-12-04T08:54:16.7761178Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0 2025-12-04T08:54:16.7763432Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0, line 225 <- wrt source file 2025-12-04T08:54:16.7765635Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0 2025-12-04T08:54:16.7767649Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/masked/_ops.py::logaddexp:0, line 1538 <- wrt source file 2025-12-04T08:54:16.7769540Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/masked/_ops.py::logaddexp:0 2025-12-04T08:54:16.7771557Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0, line 25 <- wrt source file 2025-12-04T08:54:16.7773801Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0 2025-12-04T08:54:16.7776063Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0, line 470 <- wrt source file 2025-12-04T08:54:16.7778627Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0 2025-12-04T08:54:16.7781680Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0, line 589 <- wrt source file 2025-12-04T08:54:16.8093712Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0 2025-12-04T08:54:16.8111340Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::gumbel_softmax:0, line 2198 <- wrt source file 2025-12-04T08:54:16.8121073Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::gumbel_softmax:0 2025-12-04T08:54:16.8123385Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::embedding:0, line 2503 <- wrt source file 2025-12-04T08:54:16.8132450Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::embedding:0 2025-12-04T08:54:16.8134400Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::embedding_bag:0, line 2645 <- wrt source file 2025-12-04T08:54:16.8145959Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::embedding_bag:0 2025-12-04T08:54:16.8147877Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::ctc_loss:0, line 3087 <- wrt source file 2025-12-04T08:54:16.8161883Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::ctc_loss:0 2025-12-04T08:54:16.8163722Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::nll_loss:0, line 3157 <- wrt source file 2025-12-04T08:54:16.8169626Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::nll_loss:0 2025-12-04T08:54:16.8171727Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::cross_entropy:0, line 3476 <- wrt source file 2025-12-04T08:54:16.8179915Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::cross_entropy:0 2025-12-04T08:54:16.8181875Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::binary_cross_entropy:0, line 3542 <- wrt source file 2025-12-04T08:54:16.8187268Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::binary_cross_entropy:0 2025-12-04T08:54:16.8189428Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0, line 3613 <- wrt source file 2025-12-04T08:54:16.8194869Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0 2025-12-04T08:54:16.8196854Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::pad:0, line 5387 <- wrt source file 2025-12-04T08:54:16.8207225Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/functional.py::pad:0 2025-12-04T08:54:16.8208986Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/grad.py::conv1d_input:0, line 32 <- wrt source file 2025-12-04T08:54:16.8216863Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/grad.py::conv1d_input:0 2025-12-04T08:54:16.8218649Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/grad.py::conv1d_weight:0, line 79 <- wrt source file 2025-12-04T08:54:16.8222755Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/grad.py::conv1d_weight:0 2025-12-04T08:54:16.8224515Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/grad.py::conv2d_input:0, line 130 <- wrt source file 2025-12-04T08:54:16.8231294Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/grad.py::conv2d_input:0 2025-12-04T08:54:16.8233064Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/grad.py::conv2d_weight:0, line 177 <- wrt source file 2025-12-04T08:54:16.8237076Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/grad.py::conv2d_weight:0 2025-12-04T08:54:16.8238829Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/grad.py::conv3d_input:0, line 228 <- wrt source file 2025-12-04T08:54:16.8272248Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/grad.py::conv3d_input:0 2025-12-04T08:54:16.8274336Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/grad.py::conv3d_weight:0, line 275 <- wrt source file 2025-12-04T08:54:16.8295550Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/grad.py::conv3d_weight:0 2025-12-04T08:54:16.8297412Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::calculate_gain:0, line 172 <- wrt source file 2025-12-04T08:54:16.8299378Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::calculate_gain:0 2025-12-04T08:54:16.8301179Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::uniform_:0, line 231 <- wrt source file 2025-12-04T08:54:16.8303627Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::uniform_:0 2025-12-04T08:54:16.8305387Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::normal_:0, line 258 <- wrt source file 2025-12-04T08:54:16.8307461Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::normal_:0 2025-12-04T08:54:16.8309445Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::trunc_normal_:0, line 293 <- wrt source file 2025-12-04T08:54:16.8312563Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::trunc_normal_:0 2025-12-04T08:54:16.8314358Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::constant_:0, line 307 <- wrt source file 2025-12-04T08:54:16.8316703Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::constant_:0 2025-12-04T08:54:16.8318444Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::ones_:0, line 324 <- wrt source file 2025-12-04T08:54:16.8320790Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::ones_:0 2025-12-04T08:54:16.8322511Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::zeros_:0, line 337 <- wrt source file 2025-12-04T08:54:16.8324837Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::zeros_:0 2025-12-04T08:54:16.8326533Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::eye_:0, line 353 <- wrt source file 2025-12-04T08:54:16.8329248Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::eye_:0 2025-12-04T08:54:16.8330946Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::dirac_:0, line 375 <- wrt source file 2025-12-04T08:54:16.8335171Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::dirac_:0 2025-12-04T08:54:16.8336962Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::xavier_uniform_:0, line 461 <- wrt source file 2025-12-04T08:54:16.8340100Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::xavier_uniform_:0 2025-12-04T08:54:16.8341962Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::xavier_normal_:0, line 493 <- wrt source file 2025-12-04T08:54:16.8344274Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::xavier_normal_:0 2025-12-04T08:54:16.8346136Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::kaiming_uniform_:0, line 545 <- wrt source file 2025-12-04T08:54:16.8348854Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::kaiming_uniform_:0 2025-12-04T08:54:16.8350865Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::kaiming_normal_:0, line 610 <- wrt source file 2025-12-04T08:54:16.8353456Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::kaiming_normal_:0 2025-12-04T08:54:16.8355314Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::orthogonal_:0, line 649 <- wrt source file 2025-12-04T08:54:16.8357143Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::orthogonal_:0 2025-12-04T08:54:16.8358913Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::sparse_:0, line 702 <- wrt source file 2025-12-04T08:54:16.8360704Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/init.py::sparse_:0 2025-12-04T08:54:16.8362616Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0, line 124 <- wrt source file 2025-12-04T08:54:16.8364705Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0 2025-12-04T08:54:16.8367026Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/attention/_registry.py::register_flash_attention_impl:0, line 47 <- wrt source file 2025-12-04T08:54:16.8369428Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/attention/_registry.py::register_flash_attention_impl:0 2025-12-04T08:54:16.8371796Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/attention/_registry.py::activate_flash_attention_impl:0, line 78 <- wrt source file 2025-12-04T08:54:16.8374208Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/attention/_registry.py::activate_flash_attention_impl:0 2025-12-04T08:54:16.8376368Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/attention/bias.py::CausalBias:0, line 94 <- wrt source file 2025-12-04T08:54:16.8378374Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/attention/bias.py::CausalBias:0 2025-12-04T08:54:16.8380446Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/attention/varlen.py::varlen_attn:0, line 166 <- wrt source file 2025-12-04T08:54:16.8382513Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/attention/varlen.py::varlen_attn:0 2025-12-04T08:54:16.8384539Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Threshold:0, line 72 <- wrt source file 2025-12-04T08:54:16.8386621Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Threshold:0 2025-12-04T08:54:16.8388603Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::ReLU:0, line 120 <- wrt source file 2025-12-04T08:54:16.8390584Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::ReLU:0 2025-12-04T08:54:16.8392528Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::RReLU:0, line 185 <- wrt source file 2025-12-04T08:54:16.8394527Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::RReLU:0 2025-12-04T08:54:16.8396501Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Hardtanh:0, line 247 <- wrt source file 2025-12-04T08:54:16.8398556Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Hardtanh:0 2025-12-04T08:54:16.8400625Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::ReLU6:0, line 318 <- wrt source file 2025-12-04T08:54:16.8402994Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::ReLU6:0 2025-12-04T08:54:16.8404967Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Sigmoid:0, line 349 <- wrt source file 2025-12-04T08:54:16.8407019Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Sigmoid:0 2025-12-04T08:54:16.8409067Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0, line 384 <- wrt source file 2025-12-04T08:54:16.8411184Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0 2025-12-04T08:54:16.8413197Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Tanh:0, line 420 <- wrt source file 2025-12-04T08:54:16.8415181Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Tanh:0 2025-12-04T08:54:16.8417280Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::SiLU:0, line 456 <- wrt source file 2025-12-04T08:54:16.8419341Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::SiLU:0 2025-12-04T08:54:16.8421299Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Mish:0, line 501 <- wrt source file 2025-12-04T08:54:16.8423278Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Mish:0 2025-12-04T08:54:16.8425298Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Hardswish:0, line 552 <- wrt source file 2025-12-04T08:54:16.8427388Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Hardswish:0 2025-12-04T08:54:16.8429388Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::ELU:0, line 598 <- wrt source file 2025-12-04T08:54:16.8432848Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::ELU:0 2025-12-04T08:54:16.8434779Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::CELU:0, line 646 <- wrt source file 2025-12-04T08:54:16.8437235Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::CELU:0 2025-12-04T08:54:16.8439181Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::SELU:0, line 705 <- wrt source file 2025-12-04T08:54:16.8441918Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::SELU:0 2025-12-04T08:54:16.8443860Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::GLU:0, line 751 <- wrt source file 2025-12-04T08:54:16.8447048Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::GLU:0 2025-12-04T08:54:16.8448997Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::GELU:0, line 799 <- wrt source file 2025-12-04T08:54:16.8455291Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::GELU:0 2025-12-04T08:54:16.8457323Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Hardshrink:0, line 848 <- wrt source file 2025-12-04T08:54:16.8460322Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Hardshrink:0 2025-12-04T08:54:16.8462400Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::LeakyReLU:0, line 903 <- wrt source file 2025-12-04T08:54:16.8465091Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::LeakyReLU:0 2025-12-04T08:54:16.8467140Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::LogSigmoid:0, line 945 <- wrt source file 2025-12-04T08:54:16.8470211Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::LogSigmoid:0 2025-12-04T08:54:16.8472242Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Softplus:0, line 981 <- wrt source file 2025-12-04T08:54:16.8475083Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Softplus:0 2025-12-04T08:54:16.8477134Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Softshrink:0, line 1030 <- wrt source file 2025-12-04T08:54:16.8479883Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Softshrink:0 2025-12-04T08:54:16.8482040Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0, line 1148 <- wrt source file 2025-12-04T08:54:16.8484310Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0 2025-12-04T08:54:16.8486416Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::PReLU:0, line 1613 <- wrt source file 2025-12-04T08:54:16.8488442Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::PReLU:0 2025-12-04T08:54:16.8490453Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Softsign:0, line 1664 <- wrt source file 2025-12-04T08:54:16.8492522Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Softsign:0 2025-12-04T08:54:16.8494550Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Tanhshrink:0, line 1690 <- wrt source file 2025-12-04T08:54:16.8496657Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Tanhshrink:0 2025-12-04T08:54:16.8498675Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Softmin:0, line 1728 <- wrt source file 2025-12-04T08:54:16.8501178Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Softmin:0 2025-12-04T08:54:16.8503412Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Softmax:0, line 1792 <- wrt source file 2025-12-04T08:54:16.8506552Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Softmax:0 2025-12-04T08:54:16.8508593Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Softmax2d:0, line 1839 <- wrt source file 2025-12-04T08:54:16.8511734Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::Softmax2d:0 2025-12-04T08:54:16.8517046Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::LogSoftmax:0, line 1878 <- wrt source file 2025-12-04T08:54:16.8519296Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/activation.py::LogSoftmax:0 2025-12-04T08:54:16.8521354Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0, line 341 <- wrt source file 2025-12-04T08:54:16.8525536Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0 2025-12-04T08:54:16.8527594Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0, line 453 <- wrt source file 2025-12-04T08:54:16.8741125Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0 2025-12-04T08:54:16.8743314Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0, line 565 <- wrt source file 2025-12-04T08:54:17.1078829Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0 2025-12-04T08:54:17.1201151Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0, line 690 <- wrt source file 2025-12-04T08:54:17.1203935Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0 2025-12-04T08:54:17.1206200Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm.convert_sync_batchnorm:0, line 857 <- wrt source file 2025-12-04T08:54:17.1208704Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm.convert_sync_batchnorm:0 2025-12-04T08:54:17.1211007Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0, line 21 <- wrt source file 2025-12-04T08:54:17.1229179Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0 2025-12-04T08:54:17.1231241Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::Sequential:0, line 81 <- wrt source file 2025-12-04T08:54:17.1233278Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::Sequential:0 2025-12-04T08:54:17.1235329Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::Sequential.append:0, line 263 <- wrt source file 2025-12-04T08:54:17.1241624Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::Sequential.append:0 2025-12-04T08:54:17.1243734Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::Sequential.insert:0, line 286 <- wrt source file 2025-12-04T08:54:17.1251211Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::Sequential.insert:0 2025-12-04T08:54:17.1253328Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::Sequential.extend:0, line 317 <- wrt source file 2025-12-04T08:54:17.1261926Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::Sequential.extend:0 2025-12-04T08:54:17.1263983Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::ModuleList:0, line 346 <- wrt source file 2025-12-04T08:54:17.1265997Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::ModuleList:0 2025-12-04T08:54:17.1268004Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::ModuleDict:0, line 529 <- wrt source file 2025-12-04T08:54:17.1270234Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::ModuleDict:0 2025-12-04T08:54:17.1272249Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::ParameterList:0, line 661 <- wrt source file 2025-12-04T08:54:17.1274351Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::ParameterList:0 2025-12-04T08:54:17.1276390Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::ParameterDict:0, line 819 <- wrt source file 2025-12-04T08:54:17.1278473Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/container.py::ParameterDict:0 2025-12-04T08:54:17.1280544Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0, line 38 <- wrt source file 2025-12-04T08:54:17.1282663Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0 2025-12-04T08:54:17.1284722Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0, line 81 <- wrt source file 2025-12-04T08:54:17.1286954Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0 2025-12-04T08:54:17.1288922Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/dropout.py::Dropout:0, line 60 <- wrt source file 2025-12-04T08:54:17.1290847Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/dropout.py::Dropout:0 2025-12-04T08:54:17.1292748Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/dropout.py::Dropout1d:0, line 108 <- wrt source file 2025-12-04T08:54:17.1296592Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/dropout.py::Dropout1d:0 2025-12-04T08:54:17.1298514Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/dropout.py::Dropout2d:0, line 163 <- wrt source file 2025-12-04T08:54:17.1320282Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/dropout.py::Dropout2d:0 2025-12-04T08:54:17.1322271Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/dropout.py::Dropout3d:0, line 211 <- wrt source file 2025-12-04T08:54:17.1391763Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/dropout.py::Dropout3d:0 2025-12-04T08:54:17.1393788Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0, line 257 <- wrt source file 2025-12-04T08:54:17.1397655Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0 2025-12-04T08:54:17.1399709Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0, line 309 <- wrt source file 2025-12-04T08:54:17.1470118Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0 2025-12-04T08:54:17.1472163Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/flatten.py::Flatten:0, line 29 <- wrt source file 2025-12-04T08:54:17.1478006Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/flatten.py::Flatten:0 2025-12-04T08:54:17.1479910Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/flatten.py::Unflatten:0, line 86 <- wrt source file 2025-12-04T08:54:17.1497773Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/flatten.py::Unflatten:0 2025-12-04T08:54:17.1499702Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/fold.py::Fold:0, line 224 <- wrt source file 2025-12-04T08:54:17.1505474Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/fold.py::Fold:0 2025-12-04T08:54:17.1507279Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/fold.py::Unfold:0, line 395 <- wrt source file 2025-12-04T08:54:17.1522628Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/fold.py::Unfold:0 2025-12-04T08:54:17.1524625Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0, line 188 <- wrt source file 2025-12-04T08:54:17.1537186Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0 2025-12-04T08:54:17.1539368Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0, line 304 <- wrt source file 2025-12-04T08:54:17.1713273Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0 2025-12-04T08:54:17.1715565Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0, line 420 <- wrt source file 2025-12-04T08:54:17.4040586Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0 2025-12-04T08:54:17.4159332Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0, line 77 <- wrt source file 2025-12-04T08:54:17.4163418Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0 2025-12-04T08:54:17.4165343Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/linear.py::Identity:0, line 34 <- wrt source file 2025-12-04T08:54:17.4171699Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/linear.py::Identity:0 2025-12-04T08:54:17.4173561Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/linear.py::Linear:0, line 83 <- wrt source file 2025-12-04T08:54:17.4181647Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/linear.py::Linear:0 2025-12-04T08:54:17.4183514Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/linear.py::Bilinear:0, line 191 <- wrt source file 2025-12-04T08:54:17.4202040Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/linear.py::Bilinear:0 2025-12-04T08:54:17.4203922Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::L1Loss:0, line 116 <- wrt source file 2025-12-04T08:54:17.4211542Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::L1Loss:0 2025-12-04T08:54:17.4213390Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::NLLLoss:0, line 213 <- wrt source file 2025-12-04T08:54:17.4242960Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::NLLLoss:0 2025-12-04T08:54:17.4244935Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0, line 327 <- wrt source file 2025-12-04T08:54:17.4251128Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0 2025-12-04T08:54:17.4253487Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0, line 416 <- wrt source file 2025-12-04T08:54:17.4268616Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0 2025-12-04T08:54:17.4270622Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::KLDivLoss:0, line 531 <- wrt source file 2025-12-04T08:54:17.4278469Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::KLDivLoss:0 2025-12-04T08:54:17.4280373Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::MSELoss:0, line 613 <- wrt source file 2025-12-04T08:54:17.4286110Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::MSELoss:0 2025-12-04T08:54:17.4288008Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::BCELoss:0, line 696 <- wrt source file 2025-12-04T08:54:17.4294391Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::BCELoss:0 2025-12-04T08:54:17.4296585Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0, line 762 <- wrt source file 2025-12-04T08:54:17.4308561Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0 2025-12-04T08:54:17.4310647Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1, line 810 <- wrt source file 2025-12-04T08:54:17.4315866Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1 2025-12-04T08:54:17.4317995Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0, line 958 <- wrt source file 2025-12-04T08:54:17.4326054Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0 2025-12-04T08:54:17.4328183Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0, line 1284 <- wrt source file 2025-12-04T08:54:17.4336726Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0 2025-12-04T08:54:17.4338918Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1, line 1311 <- wrt source file 2025-12-04T08:54:17.4341031Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1 2025-12-04T08:54:17.4343135Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0, line 1464 <- wrt source file 2025-12-04T08:54:17.4350515Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0 2025-12-04T08:54:17.4352636Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0, line 1531 <- wrt source file 2025-12-04T08:54:17.4359161Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0 2025-12-04T08:54:17.4361247Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0, line 1612 <- wrt source file 2025-12-04T08:54:17.4368862Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0 2025-12-04T08:54:17.4371137Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0, line 1714 <- wrt source file 2025-12-04T08:54:17.4382401Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0 2025-12-04T08:54:17.4384650Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0, line 1827 <- wrt source file 2025-12-04T08:54:17.4405022Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0 2025-12-04T08:54:17.4407101Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::CTCLoss:0, line 1959 <- wrt source file 2025-12-04T08:54:17.4435333Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/loss.py::CTCLoss:0 2025-12-04T08:54:17.4437415Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.register_buffer:0, line 554 <- wrt source file 2025-12-04T08:54:17.4439674Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.register_buffer:0 2025-12-04T08:54:17.4442019Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.apply:0, line 1048 <- wrt source file 2025-12-04T08:54:17.4453899Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.apply:0 2025-12-04T08:54:17.4455885Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.to:0, line 1299 <- wrt source file 2025-12-04T08:54:17.4464179Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.to:0 2025-12-04T08:54:17.4466294Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.state_dict:0, line 2232 <- wrt source file 2025-12-04T08:54:17.4468464Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.state_dict:0 2025-12-04T08:54:17.4470603Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.parameters:0, line 2678 <- wrt source file 2025-12-04T08:54:17.4472766Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.parameters:0 2025-12-04T08:54:17.4474979Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.named_parameters:0, line 2706 <- wrt source file 2025-12-04T08:54:17.4477248Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.named_parameters:0 2025-12-04T08:54:17.4479380Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.buffers:0, line 2733 <- wrt source file 2025-12-04T08:54:17.4481485Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.buffers:0 2025-12-04T08:54:17.4483611Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.named_buffers:0, line 2760 <- wrt source file 2025-12-04T08:54:17.4485820Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.named_buffers:0 2025-12-04T08:54:17.4487980Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.named_children:0, line 2791 <- wrt source file 2025-12-04T08:54:17.4490208Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.named_children:0 2025-12-04T08:54:17.4492572Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.modules:0, line 2815 <- wrt source file 2025-12-04T08:54:17.4494701Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.modules:0 2025-12-04T08:54:17.4496816Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.named_modules:0, line 2853 <- wrt source file 2025-12-04T08:54:17.4499079Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/module.py::Module.named_modules:0 2025-12-04T08:54:17.4501457Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0, line 38 <- wrt source file 2025-12-04T08:54:17.4515331Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0 2025-12-04T08:54:17.4517612Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/normalization.py::LayerNorm:0, line 163 <- wrt source file 2025-12-04T08:54:17.4526223Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/normalization.py::LayerNorm:0 2025-12-04T08:54:17.4528595Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/normalization.py::GroupNorm:0, line 274 <- wrt source file 2025-12-04T08:54:17.4534704Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/normalization.py::GroupNorm:0 2025-12-04T08:54:17.4536796Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/normalization.py::RMSNorm:0, line 369 <- wrt source file 2025-12-04T08:54:17.4541379Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/normalization.py::RMSNorm:0 2025-12-04T08:54:17.4543462Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::CircularPad1d:0, line 70 <- wrt source file 2025-12-04T08:54:17.4549075Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::CircularPad1d:0 2025-12-04T08:54:17.4551155Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::CircularPad2d:0, line 123 <- wrt source file 2025-12-04T08:54:17.4572919Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::CircularPad2d:0 2025-12-04T08:54:17.4574967Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::CircularPad3d:0, line 189 <- wrt source file 2025-12-04T08:54:18.1722973Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::CircularPad3d:0 2025-12-04T08:54:18.1952748Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0, line 244 <- wrt source file 2025-12-04T08:54:18.1964297Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0 2025-12-04T08:54:18.1966342Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0, line 298 <- wrt source file 2025-12-04T08:54:18.1972901Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0 2025-12-04T08:54:18.1974912Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0, line 355 <- wrt source file 2025-12-04T08:54:18.1997559Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0 2025-12-04T08:54:18.1999911Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0, line 401 <- wrt source file 2025-12-04T08:54:18.2006368Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0 2025-12-04T08:54:18.2008449Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0, line 446 <- wrt source file 2025-12-04T08:54:18.2013932Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0 2025-12-04T08:54:18.2015973Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0, line 505 <- wrt source file 2025-12-04T08:54:18.2019499Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0 2025-12-04T08:54:18.2021567Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0, line 565 <- wrt source file 2025-12-04T08:54:18.2027130Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0 2025-12-04T08:54:18.2029403Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0, line 610 <- wrt source file 2025-12-04T08:54:18.2035309Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0 2025-12-04T08:54:18.2037379Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0, line 669 <- wrt source file 2025-12-04T08:54:18.6786091Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0 2025-12-04T08:54:18.7022951Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0, line 704 <- wrt source file 2025-12-04T08:54:18.7035660Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0 2025-12-04T08:54:18.7037967Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0, line 762 <- wrt source file 2025-12-04T08:54:18.7045106Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0 2025-12-04T08:54:18.7047461Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0, line 824 <- wrt source file 2025-12-04T08:54:18.7070468Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0 2025-12-04T08:54:18.7073028Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0, line 40 <- wrt source file 2025-12-04T08:54:18.7079271Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0 2025-12-04T08:54:18.7081946Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0, line 99 <- wrt source file 2025-12-04T08:54:18.7087981Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0 2025-12-04T08:54:18.7090574Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0, line 129 <- wrt source file 2025-12-04T08:54:18.7096899Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0 2025-12-04T08:54:18.7099857Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0, line 207 <- wrt source file 2025-12-04T08:54:18.7141513Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0 2025-12-04T08:54:18.7143906Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0, line 291 <- wrt source file 2025-12-04T08:54:18.9048760Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0 2025-12-04T08:54:18.9090690Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0, line 366 <- wrt source file 2025-12-04T08:54:18.9105825Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0 2025-12-04T08:54:18.9107850Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0, line 452 <- wrt source file 2025-12-04T08:54:18.9129255Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0 2025-12-04T08:54:18.9131204Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0, line 550 <- wrt source file 2025-12-04T08:54:18.9827708Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0 2025-12-04T08:54:18.9829672Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0, line 642 <- wrt source file 2025-12-04T08:54:18.9839060Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0 2025-12-04T08:54:18.9840966Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0, line 738 <- wrt source file 2025-12-04T08:54:18.9876182Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0 2025-12-04T08:54:18.9878082Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0, line 855 <- wrt source file 2025-12-04T08:54:19.1459132Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0 2025-12-04T08:54:19.1502646Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0, line 946 <- wrt source file 2025-12-04T08:54:19.1548916Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0 2025-12-04T08:54:19.1551359Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0, line 1033 <- wrt source file 2025-12-04T08:54:19.2139522Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0 2025-12-04T08:54:19.2141790Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::LPPool1d:0, line 1156 <- wrt source file 2025-12-04T08:54:19.2150672Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::LPPool1d:0 2025-12-04T08:54:19.2152635Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::LPPool2d:0, line 1212 <- wrt source file 2025-12-04T08:54:19.2194625Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::LPPool2d:0 2025-12-04T08:54:19.2197002Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::LPPool3d:0, line 1276 <- wrt source file 2025-12-04T08:54:19.4061239Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::LPPool3d:0 2025-12-04T08:54:19.4102468Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0, line 1332 <- wrt source file 2025-12-04T08:54:19.4109769Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0 2025-12-04T08:54:19.4111890Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0, line 1367 <- wrt source file 2025-12-04T08:54:19.4120165Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0 2025-12-04T08:54:19.4122266Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0, line 1411 <- wrt source file 2025-12-04T08:54:19.4192200Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0 2025-12-04T08:54:19.4194296Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0, line 1459 <- wrt source file 2025-12-04T08:54:19.4197764Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0 2025-12-04T08:54:19.4199877Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0, line 1493 <- wrt source file 2025-12-04T08:54:19.4207023Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0 2025-12-04T08:54:19.4209135Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0, line 1533 <- wrt source file 2025-12-04T08:54:19.4224731Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0 2025-12-04T08:54:19.4226645Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/rnn.py::RNN:0, line 598 <- wrt source file 2025-12-04T08:54:19.4237178Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/rnn.py::RNN:0 2025-12-04T08:54:19.4238940Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/rnn.py::LSTM:0, line 963 <- wrt source file 2025-12-04T08:54:19.4618064Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/rnn.py::LSTM:0 2025-12-04T08:54:19.4619910Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/rnn.py::GRU:0, line 1305 <- wrt source file 2025-12-04T08:54:19.4639089Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/rnn.py::GRU:0 2025-12-04T08:54:19.4640886Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/rnn.py::RNNCell:0, line 1561 <- wrt source file 2025-12-04T08:54:19.4654252Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/rnn.py::RNNCell:0 2025-12-04T08:54:19.4656077Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/rnn.py::LSTMCell:0, line 1683 <- wrt source file 2025-12-04T08:54:19.4668091Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/rnn.py::LSTMCell:0 2025-12-04T08:54:19.4669930Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/rnn.py::GRUCell:0, line 1797 <- wrt source file 2025-12-04T08:54:19.4682831Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/rnn.py::GRUCell:0 2025-12-04T08:54:19.4684919Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/sparse.py::Embedding:0, line 71 <- wrt source file 2025-12-04T08:54:19.4700210Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/sparse.py::Embedding:0 2025-12-04T08:54:19.4702501Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0, line 243 <- wrt source file 2025-12-04T08:54:19.4707927Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0 2025-12-04T08:54:19.4710009Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0, line 324 <- wrt source file 2025-12-04T08:54:19.4725226Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0 2025-12-04T08:54:19.4727336Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0, line 523 <- wrt source file 2025-12-04T08:54:19.4733378Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0 2025-12-04T08:54:19.4735690Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py::Transformer:0, line 91 <- wrt source file 2025-12-04T08:54:20.2444112Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py::Transformer:0 2025-12-04T08:54:20.2460827Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0, line 267 <- wrt source file 2025-12-04T08:54:20.2463132Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0 2025-12-04T08:54:20.2465326Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0, line 345 <- wrt source file 2025-12-04T08:54:20.3501006Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0 2025-12-04T08:54:20.3508088Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0, line 578 <- wrt source file 2025-12-04T08:54:20.5721322Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0 2025-12-04T08:54:20.5802898Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0, line 702 <- wrt source file 2025-12-04T08:54:20.6085109Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0 2025-12-04T08:54:20.6087751Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0, line 1014 <- wrt source file 2025-12-04T08:54:20.6608144Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0 2025-12-04T08:54:20.6610545Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/upsampling.py::Upsample:0, line 77 <- wrt source file 2025-12-04T08:54:20.6639763Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/upsampling.py::Upsample:0 2025-12-04T08:54:20.6642240Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0, line 229 <- wrt source file 2025-12-04T08:54:20.6656127Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0 2025-12-04T08:54:20.6658965Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0, line 279 <- wrt source file 2025-12-04T08:54:20.6667468Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0 2025-12-04T08:54:20.6670413Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0, line 128 <- wrt source file 2025-12-04T08:54:20.6673085Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0 2025-12-04T08:54:20.6675575Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0, line 644 <- wrt source file 2025-12-04T08:54:20.6678047Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0 2025-12-04T08:54:20.6680698Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0, line 1451 <- wrt source file 2025-12-04T08:54:20.6684101Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0 2025-12-04T08:54:20.6686805Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.join:0, line 1838 <- wrt source file 2025-12-04T08:54:20.6689651Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.join:0 2025-12-04T08:54:20.6692815Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0, line 2004 <- wrt source file 2025-12-04T08:54:20.6696361Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0 2025-12-04T08:54:20.6699687Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1, line 2014 <- wrt source file 2025-12-04T08:54:20.6703012Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1 2025-12-04T08:54:20.6706069Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0, line 2049 <- wrt source file 2025-12-04T08:54:20.6709584Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0 2025-12-04T08:54:20.6713139Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_fused_optim:0, line 2107 <- wrt source file 2025-12-04T08:54:20.6716757Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_fused_optim:0 2025-12-04T08:54:20.6719765Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0, line 35 <- wrt source file 2025-12-04T08:54:20.6722201Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0 2025-12-04T08:54:20.6724606Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/init.py::skip_init:0, line 33 <- wrt source file 2025-12-04T08:54:20.6726789Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/init.py::skip_init:0 2025-12-04T08:54:20.6729306Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/memory_format.py::convert_conv2d_weight_memory_format:0, line 64 <- wrt source file 2025-12-04T08:54:20.6732037Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/memory_format.py::convert_conv2d_weight_memory_format:0 2025-12-04T08:54:20.6734510Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/memory_format.py::convert_conv3d_weight_memory_format:0, line 143 <- wrt source file 2025-12-04T08:54:20.6737551Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/memory_format.py::convert_conv3d_weight_memory_format:0 2025-12-04T08:54:20.6740563Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0, line 267 <- wrt source file 2025-12-04T08:54:20.6743180Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0 2025-12-04T08:54:20.6745865Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0, line 362 <- wrt source file 2025-12-04T08:54:20.6748393Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0 2025-12-04T08:54:20.6750647Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0, line 593 <- wrt source file 2025-12-04T08:54:20.6753213Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0 2025-12-04T08:54:20.6755466Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::identity:0, line 852 <- wrt source file 2025-12-04T08:54:20.6757716Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::identity:0 2025-12-04T08:54:20.6759946Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::random_unstructured:0, line 888 <- wrt source file 2025-12-04T08:54:20.6762438Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::random_unstructured:0 2025-12-04T08:54:20.6764977Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::l1_unstructured:0, line 931 <- wrt source file 2025-12-04T08:54:20.6767412Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::l1_unstructured:0 2025-12-04T08:54:20.6769611Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::random_structured:0, line 971 <- wrt source file 2025-12-04T08:54:20.6792563Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::random_structured:0 2025-12-04T08:54:20.6795110Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::ln_structured:0, line 1017 <- wrt source file 2025-12-04T08:54:20.6797321Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::ln_structured:0 2025-12-04T08:54:20.6799734Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::global_unstructured:0, line 1072 <- wrt source file 2025-12-04T08:54:20.6802689Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::global_unstructured:0 2025-12-04T08:54:20.6805454Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::custom_from_mask:0, line 1175 <- wrt source file 2025-12-04T08:54:20.6807831Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::custom_from_mask:0 2025-12-04T08:54:20.6809825Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::remove:0, line 1203 <- wrt source file 2025-12-04T08:54:20.6811884Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::remove:0 2025-12-04T08:54:20.6814068Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::is_pruned:0, line 1231 <- wrt source file 2025-12-04T08:54:20.6816437Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/prune.py::is_pruned:0 2025-12-04T08:54:20.6818623Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0, line 359 <- wrt source file 2025-12-04T08:54:20.6826147Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0 2025-12-04T08:54:20.6828744Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/rnn.py::pad_sequence:0, line 439 <- wrt source file 2025-12-04T08:54:20.6834890Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/rnn.py::pad_sequence:0 2025-12-04T08:54:20.6851460Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0, line 500 <- wrt source file 2025-12-04T08:54:20.6853925Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0 2025-12-04T08:54:20.6856252Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/rnn.py::pack_sequence:0, line 556 <- wrt source file 2025-12-04T08:54:20.6862633Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/rnn.py::pack_sequence:0 2025-12-04T08:54:20.6864913Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0, line 584 <- wrt source file 2025-12-04T08:54:20.6883287Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0 2025-12-04T08:54:20.6885555Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0, line 314 <- wrt source file 2025-12-04T08:54:20.6893382Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0 2025-12-04T08:54:20.6895930Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0, line 347 <- wrt source file 2025-12-04T08:54:20.6903336Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0 2025-12-04T08:54:20.6905921Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/stateless.py::functional_call:0, line 193 <- wrt source file 2025-12-04T08:54:20.6908698Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/stateless.py::functional_call:0 2025-12-04T08:54:20.6911197Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0, line 134 <- wrt source file 2025-12-04T08:54:20.6919045Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0 2025-12-04T08:54:20.6921250Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0, line 156 <- wrt source file 2025-12-04T08:54:20.6925657Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0 2025-12-04T08:54:20.6927833Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0, line 315 <- wrt source file 2025-12-04T08:54:20.6930093Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0 2025-12-04T08:54:20.6932584Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/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 2025-12-04T08:54:20.6935411Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py::sum_over_all_but_batch_and_last_n:0 2025-12-04T08:54:20.6937739Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0, line 357 <- wrt source file 2025-12-04T08:54:20.6939734Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0 2025-12-04T08:54:20.6941852Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0, line 483 <- wrt source file 2025-12-04T08:54:20.6943936Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0 2025-12-04T08:54:20.6945870Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::StepLR:0, line 608 <- wrt source file 2025-12-04T08:54:20.6947764Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::StepLR:0 2025-12-04T08:54:20.6949665Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0, line 695 <- wrt source file 2025-12-04T08:54:20.6951665Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0 2025-12-04T08:54:20.6953599Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0, line 791 <- wrt source file 2025-12-04T08:54:20.6955549Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0 2025-12-04T08:54:20.6957439Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::LinearLR:0, line 898 <- wrt source file 2025-12-04T08:54:20.6959350Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::LinearLR:0 2025-12-04T08:54:20.6961306Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0, line 1020 <- wrt source file 2025-12-04T08:54:20.6963319Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0 2025-12-04T08:54:20.6965301Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0, line 1097 <- wrt source file 2025-12-04T08:54:20.6967299Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0 2025-12-04T08:54:20.6969261Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0, line 1249 <- wrt source file 2025-12-04T08:54:20.6971253Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0 2025-12-04T08:54:20.6973337Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0, line 1378 <- wrt source file 2025-12-04T08:54:20.6975440Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0 2025-12-04T08:54:20.6977512Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0, line 1490 <- wrt source file 2025-12-04T08:54:20.6979685Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0 2025-12-04T08:54:20.6981648Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0, line 1863 <- wrt source file 2025-12-04T08:54:20.6983579Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0 2025-12-04T08:54:20.6985684Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0, line 2129 <- wrt source file 2025-12-04T08:54:20.6987985Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0 2025-12-04T08:54:20.6990418Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0, line 2211 <- wrt source file 2025-12-04T08:54:20.6992825Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0 2025-12-04T08:54:20.6995179Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1, line 2227 <- wrt source file 2025-12-04T08:54:20.6997573Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1 2025-12-04T08:54:20.6999707Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0, line 2367 <- wrt source file 2025-12-04T08:54:20.7002046Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0 2025-12-04T08:54:20.7004117Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/optimizer.py::Optimizer.load_state_dict:0, line 900 <- wrt source file 2025-12-04T08:54:20.7006309Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/optimizer.py::Optimizer.load_state_dict:0 2025-12-04T08:54:20.7008351Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/swa_utils.py::AveragedModel:0, line 155 <- wrt source file 2025-12-04T08:54:20.7010307Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/swa_utils.py::AveragedModel:0 2025-12-04T08:54:20.7012236Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/swa_utils.py::AveragedModel:1, line 181 <- wrt source file 2025-12-04T08:54:20.7014196Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/swa_utils.py::AveragedModel:1 2025-12-04T08:54:20.7016079Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/swa_utils.py::update_bn:0, line 350 <- wrt source file 2025-12-04T08:54:20.7017948Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/swa_utils.py::update_bn:0 2025-12-04T08:54:20.7019832Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/swa_utils.py::SWALR:0, line 409 <- wrt source file 2025-12-04T08:54:20.7021652Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/swa_utils.py::SWALR:0 2025-12-04T08:54:20.7023673Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/package/glob_group.py::GlobGroup:0, line 22 <- wrt source file 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SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0 2025-12-04T08:54:20.7040986Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_comparison.py::assert_close:0, line 1477 <- wrt source file 2025-12-04T08:54:20.7043009Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_comparison.py::assert_close:0 2025-12-04T08:54:20.7044955Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_creation.py::make_tensor:0, line 114 <- wrt source file 2025-12-04T08:54:20.7046891Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_creation.py::make_tensor:0 2025-12-04T08:54:20.7048934Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/common_utils.py::parametrize:0, line 648 <- wrt source file 2025-12-04T08:54:20.7051137Z * SKIPPED: 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/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0, line 29 <- wrt source file 2025-12-04T08:54:20.7094191Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0 2025-12-04T08:54:20.7096540Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::register_pytree_node:0, line 159 <- wrt source file 2025-12-04T08:54:20.7098642Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::register_pytree_node:0 2025-12-04T08:54:20.7100661Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_is_leaf:0, line 316 <- wrt source file 2025-12-04T08:54:20.7102814Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_is_leaf:0 2025-12-04T08:54:20.7104749Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0, line 359 <- wrt source file 2025-12-04T08:54:20.7106710Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0 2025-12-04T08:54:20.7108636Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0, line 396 <- wrt source file 2025-12-04T08:54:20.7110632Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0 2025-12-04T08:54:20.7112530Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0, line 429 <- wrt source file 2025-12-04T08:54:20.7114436Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0 2025-12-04T08:54:20.7116307Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0, line 464 <- wrt source file 2025-12-04T08:54:20.7118231Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0 2025-12-04T08:54:20.7120159Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0, line 499 <- wrt source file 2025-12-04T08:54:20.7122276Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0 2025-12-04T08:54:20.7124169Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_map:0, line 536 <- wrt source file 2025-12-04T08:54:20.7126082Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::tree_map:0 2025-12-04T08:54:20.7128017Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0, line 929 <- wrt source file 2025-12-04T08:54:20.7130063Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0 2025-12-04T08:54:20.7132040Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_pytree.py::register_dataclass:0, line 308 <- wrt source file 2025-12-04T08:54:20.7134035Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_pytree.py::register_dataclass:0 2025-12-04T08:54:20.7135982Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_pytree.py::register_constant:0, line 428 <- wrt source file 2025-12-04T08:54:20.7138077Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_pytree.py::register_constant:0 2025-12-04T08:54:20.7140043Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_pytree.py::tree_is_leaf:0, line 1058 <- wrt source file 2025-12-04T08:54:20.7145579Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_pytree.py::tree_is_leaf:0 2025-12-04T08:54:20.7147421Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_pytree.py::tree_map:0, line 1497 <- wrt source file 2025-12-04T08:54:20.7153018Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_pytree.py::tree_map:0 2025-12-04T08:54:20.7155120Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0, line 71 <- wrt source file 2025-12-04T08:54:20.7157500Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0 2025-12-04T08:54:20.7159954Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0, line 382 <- wrt source file 2025-12-04T08:54:20.7162549Z * SKIPPED: 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SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0 2025-12-04T08:54:20.7178081Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0, line 1257 <- wrt source file 2025-12-04T08:54:20.7180513Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0 2025-12-04T08:54:20.7182812Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/checkpoint.py::create_selective_checkpoint_contexts:0, line 1421 <- wrt source file 2025-12-04T08:54:20.7185227Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/checkpoint.py::create_selective_checkpoint_contexts:0 2025-12-04T08:54:20.7187403Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/cpp_extension.py::CppExtension:0, line 1247 <- wrt source file 2025-12-04T08:54:20.7189476Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/cpp_extension.py::CppExtension:0 2025-12-04T08:54:20.7191477Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0, line 1319 <- wrt source file 2025-12-04T08:54:20.7193519Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0 2025-12-04T08:54:20.7196365Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1, line 1397 <- wrt source file 2025-12-04T08:54:20.7198432Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1 2025-12-04T08:54:20.7200428Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/cpp_extension.py::SyclExtension:0, line 1509 <- wrt source file 2025-12-04T08:54:20.7202732Z * SKIPPED: 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2025-12-04T08:54:20.7216322Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0, line 78 <- wrt source file 2025-12-04T08:54:20.7218629Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0 2025-12-04T08:54:20.7221007Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0, line 742 <- wrt source file 2025-12-04T08:54:20.7614564Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0 2025-12-04T08:54:20.7616782Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/dataset.py::IterableDataset:0, line 94 <- wrt source file 2025-12-04T08:54:20.7622463Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/dataset.py::IterableDataset:0 2025-12-04T08:54:20.7624679Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/dataset.py::StackDataset:0, line 218 <- wrt source file 2025-12-04T08:54:20.7626713Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/dataset.py::StackDataset:0 2025-12-04T08:54:20.7628691Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/dataset.py::random_split:0, line 438 <- wrt source file 2025-12-04T08:54:20.7630697Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/dataset.py::random_split:0 2025-12-04T08:54:20.7632765Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/distributed.py::DistributedSampler:0, line 55 <- wrt source file 2025-12-04T08:54:20.7634979Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/distributed.py::DistributedSampler:0 2025-12-04T08:54:20.7637015Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/sampler.py::Sampler:0, line 36 <- wrt source file 2025-12-04T08:54:20.7638941Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/sampler.py::Sampler:0 2025-12-04T08:54:20.7641111Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0, line 225 <- wrt source file 2025-12-04T08:54:20.7643315Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0 2025-12-04T08:54:20.7645389Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/sampler.py::BatchSampler:0, line 296 <- wrt source file 2025-12-04T08:54:20.7647418Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/sampler.py::BatchSampler:0 2025-12-04T08:54:20.7649459Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/_utils/collate.py::default_convert:0, line 39 <- wrt source file 2025-12-04T08:54:20.7651627Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/_utils/collate.py::default_convert:0 2025-12-04T08:54:20.7653665Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/_utils/collate.py::collate:0, line 137 <- wrt source file 2025-12-04T08:54:20.7655697Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/_utils/collate.py::collate:0 2025-12-04T08:54:20.7657748Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/_utils/collate.py::default_collate:0, line 367 <- wrt source file 2025-12-04T08:54:20.7659983Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/_utils/collate.py::default_collate:0 2025-12-04T08:54:20.7662164Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0, line 97 <- wrt source file 2025-12-04T08:54:20.7664428Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0 2025-12-04T08:54:20.7666640Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0, line 269 <- wrt source file 2025-12-04T08:54:20.7668882Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0 2025-12-04T08:54:20.7671210Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0, line 53 <- wrt source file 2025-12-04T08:54:20.7673689Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0 2025-12-04T08:54:20.7676248Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0, line 202 <- wrt source file 2025-12-04T08:54:20.7678776Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0 2025-12-04T08:54:20.7681331Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0, line 90 <- wrt source file 2025-12-04T08:54:20.7683955Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0 2025-12-04T08:54:20.7686462Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0, line 38 <- wrt source file 2025-12-04T08:54:20.7692652Z * SKIPPED: 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source file 2025-12-04T08:54:20.7707925Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combining.py::DemultiplexerIterDataPipe:0 2025-12-04T08:54:20.7710490Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0, line 615 <- wrt source file 2025-12-04T08:54:20.7713085Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0 2025-12-04T08:54:20.7715569Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0, line 685 <- wrt source file 2025-12-04T08:54:20.7718071Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0 2025-12-04T08:54:20.7720590Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0, line 29 <- wrt source file 2025-12-04T08:54:20.7723177Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0 2025-12-04T08:54:20.7725704Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0, line 33 <- wrt source file 2025-12-04T08:54:20.7728298Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0 2025-12-04T08:54:20.7730795Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0, line 41 <- wrt source file 2025-12-04T08:54:20.7733423Z * SKIPPED: 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source file 2025-12-04T08:54:20.7748395Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0 2025-12-04T08:54:20.7751040Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0, line 24 <- wrt source file 2025-12-04T08:54:20.7753734Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0 2025-12-04T08:54:20.7756321Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0, line 29 <- wrt source file 2025-12-04T08:54:20.7758904Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0 2025-12-04T08:54:20.7761365Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0, line 36 <- wrt source file 2025-12-04T08:54:20.7763789Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0 2025-12-04T08:54:20.7766273Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0, line 34 <- wrt source file 2025-12-04T08:54:20.7768879Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0 2025-12-04T08:54:20.7771374Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0, line 29 <- wrt source file 2025-12-04T08:54:20.7773866Z * SKIPPED: 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file 2025-12-04T08:54:20.7788797Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0 2025-12-04T08:54:20.7791228Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0, line 37 <- wrt source file 2025-12-04T08:54:20.7793643Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0 2025-12-04T08:54:20.7795977Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0, line 47 <- wrt source file 2025-12-04T08:54:20.7798347Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0 2025-12-04T08:54:20.7800606Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0, line 439 <- wrt source file 2025-12-04T08:54:21.0778857Z * SUCCESS: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0 2025-12-04T08:54:21.0781493Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0, line 535 <- wrt source file 2025-12-04T08:54:21.0783045Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0 2025-12-04T08:54:21.0784545Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0, line 217 <- wrt source file 2025-12-04T08:54:21.0786069Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0 2025-12-04T08:54:21.0787586Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0, line 322 <- wrt source file 2025-12-04T08:54:21.0789148Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0 2025-12-04T08:54:21.0790643Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0, line 370 <- wrt source file 2025-12-04T08:54:21.0792660Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0 2025-12-04T08:54:21.0794337Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0, line 402 <- wrt source file 2025-12-04T08:54:21.0796050Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0 2025-12-04T08:54:21.0798025Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0, line 450 <- wrt source file 2025-12-04T08:54:21.0799579Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0 2025-12-04T08:54:21.0802303Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0, line 489 <- wrt source file 2025-12-04T08:54:21.0805060Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0 2025-12-04T08:54:21.0807651Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0, line 542 <- wrt source file 2025-12-04T08:54:21.0810285Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0 2025-12-04T08:54:21.0812757Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0, line 608 <- wrt source file 2025-12-04T08:54:21.0814946Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0 2025-12-04T08:54:21.0816827Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0, line 657 <- wrt source file 2025-12-04T08:54:21.0818521Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0 2025-12-04T08:54:21.0820381Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0, line 820 <- wrt source file 2025-12-04T08:54:21.0822215Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0 2025-12-04T08:54:21.0824174Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0, line 887 <- wrt source file 2025-12-04T08:54:21.0826065Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0 2025-12-04T08:54:21.0827763Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0, line 998 <- wrt source file 2025-12-04T08:54:21.0829319Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0 2025-12-04T08:54:21.0830987Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0, line 1072 <- wrt source file 2025-12-04T08:54:21.0832771Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0 2025-12-04T08:54:21.0834504Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0, line 1093 <- wrt source file 2025-12-04T08:54:21.0836243Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0 2025-12-04T08:54:21.0837904Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0, line 1118 <- wrt source file 2025-12-04T08:54:21.0839530Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0 2025-12-04T08:54:21.0841077Z * DOCTEST : /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0, line 1164 <- wrt source file 2025-12-04T08:54:21.0842605Z * SKIPPED: /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0 2025-12-04T08:54:21.0843386Z ============ 2025-12-04T08:54:21.0843672Z Finished doctests 2025-12-04T08:54:21.0843920Z 378 / 894 passed 2025-12-04T08:54:21.0844162Z  2025-12-04T08:54:21.0844483Z === Found 17 parse-time warnings === 2025-12-04T08:54:21.0844925Z --- Parse Warning: 1 / 17 --- 2025-12-04T08:54:21.0846155Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py line=368. 2025-12-04T08:54:21.0847441Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:54:21.0848088Z Registers the function implementation as the fallback for the given key. 2025-12-04T08:54:21.0848560Z 2025-12-04T08:54:21.0848896Z This function only works for a library with global namespace ("_"). 2025-12-04T08:54:21.0849341Z 2025-12-04T08:54:21.0849556Z Args: 2025-12-04T08:54:21.0849984Z fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel` 2025-12-04T08:54:21.0850527Z to register a fallthrough. 2025-12-04T08:54:21.0851110Z dispatch_key: dispatch key that the input function should be registered for. By default, it uses 2025-12-04T08:54:21.0851753Z the dispatch key that the library was created with. 2025-12-04T08:54:21.0852430Z with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument 2025-12-04T08:54:21.0853350Z to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls. 2025-12-04T08:54:21.0853904Z 2025-12-04T08:54:21.0854106Z Example:: 2025-12-04T08:54:21.0854358Z 2025-12-04T08:54:21.0854601Z >>> my_lib = Library("_", "IMPL") 2025-12-04T08:54:21.0854977Z >>> def fallback_kernel(op, *args, **kwargs): 2025-12-04T08:54:21.0855384Z >>> # Handle all autocast ops generically 2025-12-04T08:54:21.0855737Z >>> # ... 2025-12-04T08:54:21.0856076Z >>> my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T08:54:21.0856425Z 2025-12-04T08:54:21.0857226Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7)) 2025-12-04T08:54:21.0858089Z 2025-12-04T08:54:21.0858334Z my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T08:54:21.0858684Z ^ 2025-12-04T08:54:21.0859013Z warnings.warn(msg) 2025-12-04T08:54:21.0859267Z 2025-12-04T08:54:21.0859590Z --- Parse Warning: 2 / 17 --- 2025-12-04T08:54:21.0860721Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py line=958. 2025-12-04T08:54:21.0861986Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:54:21.0862601Z Register a FakeTensor implementation ("fake impl") for this operator. 2025-12-04T08:54:21.0863056Z 2025-12-04T08:54:21.0863375Z Also sometimes known as a "meta kernel", "abstract impl". 2025-12-04T08:54:21.0863755Z 2025-12-04T08:54:21.0864129Z An "FakeTensor implementation" specifies the behavior of this operator on 2025-12-04T08:54:21.0864746Z Tensors that carry no data ("FakeTensor"). Given some input Tensors with 2025-12-04T08:54:21.0865353Z certain properties (sizes/strides/storage_offset/device), it specifies 2025-12-04T08:54:21.0865864Z what the properties of the output Tensors are. 2025-12-04T08:54:21.0866219Z 2025-12-04T08:54:21.0866580Z The FakeTensor implementation has the same signature as the operator. 2025-12-04T08:54:21.0867157Z It is run for both FakeTensors and meta tensors. To write a FakeTensor 2025-12-04T08:54:21.0867728Z implementation, assume that all Tensor inputs to the operator are 2025-12-04T08:54:21.0868462Z regular CPU/CUDA/Meta tensors, but they do not have storage, and 2025-12-04T08:54:21.0869216Z you are trying to return regular CPU/CUDA/Meta tensor(s) as output. 2025-12-04T08:54:21.0869857Z The FakeTensor implementation must consist of only PyTorch operations 2025-12-04T08:54:21.0870428Z (and may not directly access the storage or data of any input or 2025-12-04T08:54:21.0870867Z intermediate Tensors). 2025-12-04T08:54:21.0871137Z 2025-12-04T08:54:21.0871420Z This API may be used as a decorator (see examples). 2025-12-04T08:54:21.0871798Z 2025-12-04T08:54:21.0872052Z For a detailed guide on custom ops, please see 2025-12-04T08:54:21.0872576Z https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html 2025-12-04T08:54:21.0873036Z 2025-12-04T08:54:21.0873228Z Args: 2025-12-04T08:54:21.0873599Z op_name: Operator name (along with the overload) or OpOverload object. 2025-12-04T08:54:21.0874086Z func: Fake tensor implementation. 2025-12-04T08:54:21.0874536Z lib (Optional[Library]): Library to register the fake tensor to. 2025-12-04T08:54:21.0875053Z allow_override: Flag controlling if we want to override an 2025-12-04T08:54:21.0875556Z existing registered fake impl. This is by default off, 2025-12-04T08:54:21.0876052Z and will error you're trying to register a fake impl to 2025-12-04T08:54:21.0876615Z an operator that already has a fake impl. This also only 2025-12-04T08:54:21.0877102Z applies if the custom operator was not created via 2025-12-04T08:54:21.0877599Z torch.library.custom_op, as overriding and existing fake 2025-12-04T08:54:21.0878057Z impl is already allowed. 2025-12-04T08:54:21.0878377Z 2025-12-04T08:54:21.0878593Z Examples: 2025-12-04T08:54:21.0878851Z >>> import torch 2025-12-04T08:54:21.0879137Z >>> import numpy as np 2025-12-04T08:54:21.0879595Z >>> from torch import Tensor 2025-12-04T08:54:21.0879925Z >>> 2025-12-04T08:54:21.0880431Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T08:54:21.0880996Z >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=()) 2025-12-04T08:54:21.0881590Z >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T08:54:21.0882142Z >>> raise NotImplementedError("Implementation goes here") 2025-12-04T08:54:21.0882533Z >>> 2025-12-04T08:54:21.0882858Z >>> @torch.library.register_fake("mylib::custom_linear") 2025-12-04T08:54:21.0883402Z >>> def _(x, weight, bias): 2025-12-04T08:54:21.0883743Z >>> assert x.dim() == 2 2025-12-04T08:54:21.0884235Z >>> assert weight.dim() == 2 2025-12-04T08:54:21.0884580Z >>> assert bias.dim() == 1 2025-12-04T08:54:21.0884941Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T08:54:21.0885322Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T08:54:21.0885707Z >>> assert x.device == weight.device 2025-12-04T08:54:21.0886038Z >>> 2025-12-04T08:54:21.0886283Z >>> return (x @ weight.t()) + bias 2025-12-04T08:54:21.0886615Z >>> 2025-12-04T08:54:21.0886933Z >>> with torch._subclasses.fake_tensor.FakeTensorMode(): 2025-12-04T08:54:21.0887333Z >>> x = torch.randn(2, 3) 2025-12-04T08:54:21.0887667Z >>> w = torch.randn(3, 3) 2025-12-04T08:54:21.0887994Z >>> b = torch.randn(3) 2025-12-04T08:54:21.0888341Z >>> y = torch.ops.mylib.custom_linear(x, w, b) 2025-12-04T08:54:21.0888693Z >>> 2025-12-04T08:54:21.0888942Z >>> assert y.shape == (2, 3) 2025-12-04T08:54:21.0889258Z >>> 2025-12-04T08:54:21.0889568Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T08:54:21.0890211Z >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=()) 2025-12-04T08:54:21.0890711Z >>> def custom_nonzero(x: Tensor) -> Tensor: 2025-12-04T08:54:21.0891078Z >>> x_np = x.numpy(force=True) 2025-12-04T08:54:21.0891452Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T08:54:21.0891863Z >>> return torch.tensor(res, device=x.device) 2025-12-04T08:54:21.0892199Z >>> 2025-12-04T08:54:21.0892523Z >>> @torch.library.register_fake("mylib::custom_nonzero") 2025-12-04T08:54:21.0892923Z >>> def _(x): 2025-12-04T08:54:21.0893250Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T08:54:21.0893677Z >>> # Since we cannot peek at the data in an fake impl, 2025-12-04T08:54:21.0894129Z >>> # we use the ctx object to construct a new symint that 2025-12-04T08:54:21.0894556Z >>> # represents the data-dependent size. 2025-12-04T08:54:21.0894920Z >>> ctx = torch.library.get_ctx() 2025-12-04T08:54:21.0895294Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T08:54:21.0895645Z >>> shape = [nnz, x.dim()] 2025-12-04T08:54:21.0896032Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T08:54:21.0896470Z >>> return result 2025-12-04T08:54:21.0896760Z >>> 2025-12-04T08:54:21.0897094Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2025-12-04T08:54:21.0897483Z >>> 2025-12-04T08:54:21.0897752Z >>> x = torch.tensor([0, 1, 2, 3, 4, 0]) 2025-12-04T08:54:21.0898249Z >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x) 2025-12-04T08:54:21.0898811Z >>> trace.print_readable() 2025-12-04T08:54:21.0899127Z >>> 2025-12-04T08:54:21.0899501Z >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x)) 2025-12-04T08:54:21.0899938Z 2025-12-04T08:54:21.0900145Z 2025-12-04T08:54:21.0900834Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('', 38, 1, '_._ = None\n', 38, 2)) 2025-12-04T08:54:21.0901871Z 2025-12-04T08:54:21.0902065Z _._ = None 2025-12-04T08:54:21.0902299Z ^ 2025-12-04T08:54:21.0902529Z warnings.warn(msg) 2025-12-04T08:54:21.0902776Z 2025-12-04T08:54:21.0903138Z --- Parse Warning: 3 / 17 --- 2025-12-04T08:54:21.0904273Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=get_kernel in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py line=1530. 2025-12-04T08:54:21.0905512Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:54:21.0906120Z Returns the computed kernel for a given operator and dispatch key. 2025-12-04T08:54:21.0906550Z 2025-12-04T08:54:21.0906906Z This function retrieves the kernel that would be executed for a given 2025-12-04T08:54:21.0907504Z operator and dispatch key combination. The returned SafeKernelFunction 2025-12-04T08:54:21.0908076Z can be used to call the kernel in a boxed fashion. The intended use 2025-12-04T08:54:21.0908630Z case for this function is to retrieve the original kernel for a given 2025-12-04T08:54:21.0909197Z dispatch key and then register another kernel to the same dispatch key 2025-12-04T08:54:21.0909727Z that calls into the original kernel for certain cases. 2025-12-04T08:54:21.0910104Z 2025-12-04T08:54:21.0910312Z Args: 2025-12-04T08:54:21.0910645Z op: Operator name (along with the overload) or OpOverload object 2025-12-04T08:54:21.0911220Z Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef. 2025-12-04T08:54:21.0911853Z dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for. 2025-12-04T08:54:21.0912570Z Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value. 2025-12-04T08:54:21.0912987Z 2025-12-04T08:54:21.0913201Z Returns: 2025-12-04T08:54:21.0913583Z torch._C._SafeKernelFunction: A safe kernel function that can be used to 2025-12-04T08:54:21.0914067Z call the kernel. 2025-12-04T08:54:21.0914353Z 2025-12-04T08:54:21.0914561Z Raises: 2025-12-04T08:54:21.0914841Z RuntimeError: If the operator does not exist. 2025-12-04T08:54:21.0915204Z 2025-12-04T08:54:21.0915411Z Example: 2025-12-04T08:54:21.0915672Z >>> # Get the CPU kernel for torch.add 2025-12-04T08:54:21.0916130Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU") 2025-12-04T08:54:21.0916550Z >>> 2025-12-04T08:54:21.0916805Z >>> # You can also use DispatchKey enum 2025-12-04T08:54:21.0917329Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU) 2025-12-04T08:54:21.0917818Z >>> 2025-12-04T08:54:21.0918089Z >>> # Or use an OpOverload directly 2025-12-04T08:54:21.0918557Z >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU") 2025-12-04T08:54:21.0919019Z >>> 2025-12-04T08:54:21.0919516Z >>> # Example: Using get_kernel in a custom op with conditional dispatch 2025-12-04T08:54:21.0919996Z >>> # Get the original kernel for torch.sin 2025-12-04T08:54:21.0920479Z >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU") 2025-12-04T08:54:21.0920929Z >>> 2025-12-04T08:54:21.0921298Z >>> # If input has negative values, use original sin, otherwise return zeros 2025-12-04T08:54:21.0921823Z >>> def conditional_sin_impl(dispatch_keys, x): 2025-12-04T08:54:21.0922203Z >>> if (x < 0).any(): 2025-12-04T08:54:21.0922609Z >>> return original_sin_kernel.call_boxed(dispatch_keys, x) 2025-12-04T08:54:21.0923007Z >>> else: 2025-12-04T08:54:21.0923310Z >>> return torch.zeros_like(x) 2025-12-04T08:54:21.0923641Z >>> 2025-12-04T08:54:21.0923912Z >>> lib = torch.library.Library("aten", "IMPL") 2025-12-04T08:54:21.0924458Z >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet 2025-12-04T08:54:21.0925061Z >>> which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T08:54:21.0925587Z >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True) 2025-12-04T08:54:21.0925988Z >>> 2025-12-04T08:54:21.0926253Z >>> # Test the conditional behavior 2025-12-04T08:54:21.0926627Z >>> x_positive = torch.tensor([1.0, 2.0]) 2025-12-04T08:54:21.0926991Z >>> x_mixed = torch.tensor([-1.0, 2.0]) 2025-12-04T08:54:21.0927359Z >>> torch.sin(x_positive) 2025-12-04T08:54:21.0927682Z tensor([0., 0.]) 2025-12-04T08:54:21.0927962Z >>> torch.sin(x_mixed) 2025-12-04T08:54:21.0928281Z tensor([-0.8415, 0.9093]) 2025-12-04T08:54:21.0928580Z 2025-12-04T08:54:21.0929202Z Original Error: SyntaxError('invalid syntax', ('', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12)) 2025-12-04T08:54:21.0929926Z 2025-12-04T08:54:21.0930243Z which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T08:54:21.0930650Z ^ 2025-12-04T08:54:21.0930880Z warnings.warn(msg) 2025-12-04T08:54:21.0931150Z 2025-12-04T08:54:21.0931491Z --- Parse Warning: 4 / 17 --- 2025-12-04T08:54:21.0932673Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=is_available in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/accelerator/__init__.py line=70. 2025-12-04T08:54:21.0934003Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:54:21.0934731Z Check if the current accelerator is available at runtime: it was build, all the 2025-12-04T08:54:21.0935351Z required drivers are available and at least one device is visible. 2025-12-04T08:54:21.0935846Z See :ref:`accelerator` for details. 2025-12-04T08:54:21.0936217Z 2025-12-04T08:54:21.0936428Z Returns: 2025-12-04T08:54:21.0936849Z bool: A boolean indicating if there is an available :ref:`accelerator`. 2025-12-04T08:54:21.0937351Z 2025-12-04T08:54:21.0937724Z .. note:: This API delegates to the device-specific version of `is_available`. 2025-12-04T08:54:21.0938387Z On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set, 2025-12-04T08:54:21.0939163Z this function will NOT poison fork. Otherwise, it will. For more details, see 2025-12-04T08:54:21.0939717Z :ref:`multiprocessing-poison-fork-note`. 2025-12-04T08:54:21.0940074Z 2025-12-04T08:54:21.0940285Z Example:: 2025-12-04T08:54:21.0940530Z 2025-12-04T08:54:21.0940933Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T08:54:21.0941415Z 2025-12-04T08:54:21.0942193Z Original Error: SyntaxError('invalid syntax', ('', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78)) 2025-12-04T08:54:21.0942986Z 2025-12-04T08:54:21.0943382Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T08:54:21.0943872Z ^ 2025-12-04T08:54:21.0944199Z warnings.warn(msg) 2025-12-04T08:54:21.0944466Z 2025-12-04T08:54:21.0944770Z --- Parse Warning: 5 / 17 --- 2025-12-04T08:54:21.0945966Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/accelerator/__init__.py line=239. 2025-12-04T08:54:21.0947288Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:54:21.0947890Z Wait for all kernels in all streams on the given device to complete. 2025-12-04T08:54:21.0948307Z 2025-12-04T08:54:21.0948515Z Args: 2025-12-04T08:54:21.0948978Z device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match 2025-12-04T08:54:21.0949661Z the current :ref:`accelerator` device type. If not given, 2025-12-04T08:54:21.0950233Z use :func:`torch.accelerator.current_device_index` by default. 2025-12-04T08:54:21.0950645Z 2025-12-04T08:54:21.0951075Z .. note:: This function is a no-op if the current :ref:`accelerator` is not initialized. 2025-12-04T08:54:21.0951616Z 2025-12-04T08:54:21.0951826Z Example:: 2025-12-04T08:54:21.0952058Z 2025-12-04T08:54:21.0952315Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-12-04T08:54:21.0952865Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T08:54:21.0953427Z >>> start_event = torch.Event(enable_timing=True) 2025-12-04T08:54:21.0953837Z >>> end_event = torch.Event(enable_timing=True) 2025-12-04T08:54:21.0954208Z >>> start_event.record() 2025-12-04T08:54:21.0954674Z >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator()) 2025-12-04T08:54:21.0955158Z >>> sum = torch.sum(tensor) 2025-12-04T08:54:21.0955492Z >>> end_event.record() 2025-12-04T08:54:21.0955836Z >>> torch.accelerator.synchronize() 2025-12-04T08:54:21.0956266Z >>> elapsed_time_ms = start_event.elapsed_time(end_event) 2025-12-04T08:54:21.0956640Z 2025-12-04T08:54:21.0957427Z Original Error: SyntaxError('invalid syntax', ('', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78)) 2025-12-04T08:54:21.0958229Z 2025-12-04T08:54:21.0958609Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T08:54:21.0959119Z ^ 2025-12-04T08:54:21.0959450Z warnings.warn(msg) 2025-12-04T08:54:21.0959701Z 2025-12-04T08:54:21.0960390Z --- Parse Warning: 6 / 17 --- 2025-12-04T08:54:21.0961581Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/cuda/__init__.py line=448. 2025-12-04T08:54:21.0962931Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:54:21.0963612Z Retrieves the CUDA runtime API module. 2025-12-04T08:54:21.0964033Z 2025-12-04T08:54:21.0964276Z 2025-12-04T08:54:21.0964809Z This function initializes the CUDA runtime environment if it is not already 2025-12-04T08:54:21.0965547Z initialized and returns the CUDA runtime API module (_cudart). The CUDA 2025-12-04T08:54:21.0966191Z runtime API module provides access to various CUDA runtime functions. 2025-12-04T08:54:21.0966889Z 2025-12-04T08:54:21.0967202Z Args: 2025-12-04T08:54:21.0967539Z ``None`` 2025-12-04T08:54:21.0967852Z 2025-12-04T08:54:21.0968163Z Returns: 2025-12-04T08:54:21.0968567Z module: The CUDA runtime API module (_cudart). 2025-12-04T08:54:21.0968997Z 2025-12-04T08:54:21.0969312Z Raises: 2025-12-04T08:54:21.0969799Z RuntimeError: If CUDA cannot be re-initialized in a forked subprocess. 2025-12-04T08:54:21.0981605Z AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable. 2025-12-04T08:54:21.0982225Z 2025-12-04T08:54:21.0982498Z Example of CUDA operations with profiling: 2025-12-04T08:54:21.0982861Z >>> import torch 2025-12-04T08:54:21.0983217Z >>> from torch.cuda import cudart, check_error 2025-12-04T08:54:21.0983588Z >>> import os 2025-12-04T08:54:21.0983848Z >>> 2025-12-04T08:54:21.0984123Z >>> os.environ["CUDA_PROFILE"] = "1" 2025-12-04T08:54:21.0984472Z >>> 2025-12-04T08:54:21.0984769Z >>> def perform_cuda_operations_with_streams(): 2025-12-04T08:54:21.0985154Z >>> stream = torch.cuda.Stream() 2025-12-04T08:54:21.0985531Z >>> with torch.cuda.stream(stream): 2025-12-04T08:54:21.0985923Z >>> x = torch.randn(100, 100, device='cuda') 2025-12-04T08:54:21.0986305Z >>> y = torch.randn(100, 100, device='cuda') 2025-12-04T08:54:21.0986671Z >>> z = torch.mul(x, y) 2025-12-04T08:54:21.0986996Z >>> return z 2025-12-04T08:54:21.0987254Z >>> 2025-12-04T08:54:21.0987516Z >>> torch.cuda.synchronize() 2025-12-04T08:54:21.0987895Z >>> print("====== Start nsys profiling ======") 2025-12-04T08:54:21.0988307Z >>> check_error(cudart().cudaProfilerStart()) 2025-12-04T08:54:21.0988708Z >>> with torch.autograd.profiler.emit_nvtx(): 2025-12-04T08:54:21.0989145Z >>> result = perform_cuda_operations_with_streams() 2025-12-04T08:54:21.0989568Z >>> print("CUDA operations completed.") 2025-12-04T08:54:21.0989984Z >>> check_error(torch.cuda.cudart().cudaProfilerStop()) 2025-12-04T08:54:21.0990419Z >>> print("====== End nsys profiling ======") 2025-12-04T08:54:21.0990766Z 2025-12-04T08:54:21.0991083Z To run this example and save the profiling information, execute: 2025-12-04T08:54:21.0991812Z >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T08:54:21.0992408Z 2025-12-04T08:54:21.0992790Z This command profiles the CUDA operations in the provided script and saves 2025-12-04T08:54:21.0993503Z the profiling information to a file named `trace_name.prof`. 2025-12-04T08:54:21.0994077Z The `--profile-from-start off` option ensures that profiling starts only 2025-12-04T08:54:21.0994609Z after the `cudaProfilerStart` call in the script. 2025-12-04T08:54:21.0995113Z The `--csv` and `--print-summary` options format the profiling output as a 2025-12-04T08:54:21.0995614Z CSV file and print a summary, respectively. 2025-12-04T08:54:21.0996132Z The `-o` option specifies the output file name, and the `-f` option forces the 2025-12-04T08:54:21.0996684Z overwrite of the output file if it already exists. 2025-12-04T08:54:21.0997038Z 2025-12-04T08:54:21.0997848Z 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)) 2025-12-04T08:54:21.0998735Z 2025-12-04T08:54:21.0999212Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T08:54:21.0999793Z ^ 2025-12-04T08:54:21.1000014Z warnings.warn(msg) 2025-12-04T08:54:21.1000264Z 2025-12-04T08:54:21.1000719Z --- Parse Warning: 7 / 17 --- 2025-12-04T08:54:21.1002147Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/apis.py line=39. 2025-12-04T08:54:21.1003416Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:54:21.1003881Z 2025-12-04T08:54:21.1004232Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that 2025-12-04T08:54:21.1004801Z maps ``func`` over some dimension of the inputs. Semantically, vmap 2025-12-04T08:54:21.1005372Z pushes the map into PyTorch operations called by ``func``, effectively 2025-12-04T08:54:21.1005833Z vectorizing those operations. 2025-12-04T08:54:21.1006132Z 2025-12-04T08:54:21.1006474Z vmap is useful for handling batch dimensions: one can write a function 2025-12-04T08:54:21.1007020Z ``func`` that runs on examples and then lift it to a function that can 2025-12-04T08:54:21.1007582Z take batches of examples with ``vmap(func)``. vmap can also be used to 2025-12-04T08:54:21.1008108Z compute batched gradients when composed with autograd. 2025-12-04T08:54:21.1008476Z 2025-12-04T08:54:21.1008694Z .. note:: 2025-12-04T08:54:21.1009025Z :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for 2025-12-04T08:54:21.1009461Z convenience. Use whichever one you'd like. 2025-12-04T08:54:21.1009804Z 2025-12-04T08:54:21.1010014Z Args: 2025-12-04T08:54:21.1010357Z func (function): A Python function that takes one or more arguments. 2025-12-04T08:54:21.1010809Z Must return one or more Tensors. 2025-12-04T08:54:21.1011260Z in_dims (int or nested structure): Specifies which dimension of the 2025-12-04T08:54:21.1011771Z inputs should be mapped over. ``in_dims`` should have a 2025-12-04T08:54:21.1012264Z structure like the inputs. If the ``in_dim`` for a particular 2025-12-04T08:54:21.1012788Z input is None, then that indicates there is no map dimension. 2025-12-04T08:54:21.1013208Z Default: 0. 2025-12-04T08:54:21.1013563Z out_dims (int or Tuple[int]): Specifies where the mapped dimension 2025-12-04T08:54:21.1014099Z should appear in the outputs. If ``out_dims`` is a Tuple, then 2025-12-04T08:54:21.1014594Z it should have one element per output. Default: 0. 2025-12-04T08:54:21.1015081Z randomness (str): Specifies whether the randomness in this 2025-12-04T08:54:21.1015609Z vmap should be the same or different across batches. If 'different', 2025-12-04T08:54:21.1016167Z the randomness for each batch will be different. If 'same', the 2025-12-04T08:54:21.1016850Z randomness will be the same across batches. If 'error', any calls to 2025-12-04T08:54:21.1017428Z random functions will error. Default: 'error'. WARNING: this flag 2025-12-04T08:54:21.1017980Z only applies to random PyTorch operations and does not apply to 2025-12-04T08:54:21.1018460Z Python's random module or numpy randomness. 2025-12-04T08:54:21.1019039Z chunk_size (None or int): If None (default), apply a single vmap over inputs. 2025-12-04T08:54:21.1019787Z If not None, then compute the vmap :attr:`chunk_size` samples at a time. 2025-12-04T08:54:21.1020466Z Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop. 2025-12-04T08:54:21.1021155Z If you run into memory issues computing the vmap, please try a non-None chunk_size. 2025-12-04T08:54:21.1021654Z 2025-12-04T08:54:21.1021953Z Returns: 2025-12-04T08:54:21.1022478Z Returns a new "batched" function. It takes the same inputs as 2025-12-04T08:54:21.1023259Z ``func``, except each input has an extra dimension at the index 2025-12-04T08:54:21.1023857Z specified by ``in_dims``. It takes returns the same outputs as 2025-12-04T08:54:21.1024524Z ``func``, except each output has an extra dimension at the index 2025-12-04T08:54:21.1024961Z specified by ``out_dims``. 2025-12-04T08:54:21.1025249Z 2025-12-04T08:54:21.1025458Z .. warning: 2025-12-04T08:54:21.1025888Z :func:`vmap` works best with functional-style code. Please do not 2025-12-04T08:54:21.1026535Z perform any side-effects in ``func``, with the exception of 2025-12-04T08:54:21.1027218Z in-place PyTorch operations. Examples of side-effects include mutating 2025-12-04T08:54:21.1027830Z Python data structures and assigning values to variables not captured 2025-12-04T08:54:21.1028292Z in ``func``. 2025-12-04T08:54:21.1028526Z 2025-12-04T08:54:21.1028901Z One example of using :func:`vmap` is to compute batched dot products. PyTorch 2025-12-04T08:54:21.1029511Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully 2025-12-04T08:54:21.1030085Z rummaging through docs, use :func:`vmap` to construct a new function. 2025-12-04T08:54:21.1030536Z 2025-12-04T08:54:21.1030774Z >>> torch.dot # [D], [D] -> [] 2025-12-04T08:54:21.1031212Z >>> batched_dot = torch.func.vmap(torch.dot) # [N, D], [N, D] -> [N] 2025-12-04T08:54:21.1031671Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T08:54:21.1032037Z >>> batched_dot(x, y) 2025-12-04T08:54:21.1032314Z 2025-12-04T08:54:21.1032660Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler 2025-12-04T08:54:21.1033137Z model authoring experience. 2025-12-04T08:54:21.1033429Z 2025-12-04T08:54:21.1033649Z >>> batch_size, feature_size = 3, 5 2025-12-04T08:54:21.1034070Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T08:54:21.1034459Z >>> 2025-12-04T08:54:21.1034678Z >>> def model(feature_vec): 2025-12-04T08:54:21.1035030Z >>> # Very simple linear model with activation 2025-12-04T08:54:21.1035424Z >>> return feature_vec.dot(weights).relu() 2025-12-04T08:54:21.1035763Z >>> 2025-12-04T08:54:21.1036038Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T08:54:21.1036443Z >>> result = torch.vmap(model)(examples) 2025-12-04T08:54:21.1036776Z 2025-12-04T08:54:21.1037150Z :func:`vmap` can also help vectorize computations that were previously difficult 2025-12-04T08:54:21.1037797Z or impossible to batch. One example is higher-order gradient computation. 2025-12-04T08:54:21.1038411Z The PyTorch autograd engine computes vjps (vector-Jacobian products). 2025-12-04T08:54:21.1039004Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually 2025-12-04T08:54:21.1039718Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`, 2025-12-04T08:54:21.1040360Z we can vectorize the whole computation, computing the Jacobian in a single 2025-12-04T08:54:21.1040847Z call to ``autograd.grad``. 2025-12-04T08:54:21.1041123Z 2025-12-04T08:54:21.1041336Z >>> # Setup 2025-12-04T08:54:21.1041580Z >>> N = 5 2025-12-04T08:54:21.1041815Z >>> f = lambda x: x**2 2025-12-04T08:54:21.1042137Z >>> x = torch.randn(N, requires_grad=True) 2025-12-04T08:54:21.1042483Z >>> y = f(x) 2025-12-04T08:54:21.1042725Z >>> I_N = torch.eye(N) 2025-12-04T08:54:21.1042999Z >>> 2025-12-04T08:54:21.1043238Z >>> # Sequential approach 2025-12-04T08:54:21.1043655Z >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0] 2025-12-04T08:54:21.1044124Z >>> for v in I_N.unbind()] 2025-12-04T08:54:21.1044493Z >>> jacobian = torch.stack(jacobian_rows) 2025-12-04T08:54:21.1044827Z >>> 2025-12-04T08:54:21.1045068Z >>> # vectorized gradient computation 2025-12-04T08:54:21.1045409Z >>> def get_vjp(v): 2025-12-04T08:54:21.1045719Z >>> return torch.autograd.grad(y, x, v) 2025-12-04T08:54:21.1046140Z >>> jacobian = torch.vmap(get_vjp)(I_N) 2025-12-04T08:54:21.1046469Z 2025-12-04T08:54:21.1046863Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions 2025-12-04T08:54:21.1047338Z 2025-12-04T08:54:21.1047567Z >>> torch.dot # [D], [D] -> [] 2025-12-04T08:54:21.1047902Z >>> batched_dot = torch.vmap( 2025-12-04T08:54:21.1048218Z ... torch.vmap(torch.dot) 2025-12-04T08:54:21.1048558Z ... ) # [N1, N0, D], [N1, N0, D] -> [N1, N0] 2025-12-04T08:54:21.1048947Z >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5) 2025-12-04T08:54:21.1049349Z >>> batched_dot(x, y) # tensor of size [2, 3] 2025-12-04T08:54:21.1049669Z 2025-12-04T08:54:21.1050043Z If the inputs are not batched along the first dimension, ``in_dims`` specifies 2025-12-04T08:54:21.1050582Z the dimension that each inputs are batched along as 2025-12-04T08:54:21.1050932Z 2025-12-04T08:54:21.1051154Z >>> torch.dot # [N], [N] -> [] 2025-12-04T08:54:21.1051611Z >>> batched_dot = torch.vmap(torch.dot, in_dims=1) # [N, D], [N, D] -> [D] 2025-12-04T08:54:21.1052090Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T08:54:21.1052436Z >>> batched_dot( 2025-12-04T08:54:21.1052699Z ... x, y 2025-12-04T08:54:21.1053037Z ... ) # output is [5] instead of [2] if batched along the 0th dimension 2025-12-04T08:54:21.1053449Z 2025-12-04T08:54:21.1053844Z If there are multiple inputs each of which is batched along different dimensions, 2025-12-04T08:54:21.1054461Z ``in_dims`` must be a tuple with the batch dimension for each input as 2025-12-04T08:54:21.1054870Z 2025-12-04T08:54:21.1055103Z >>> torch.dot # [D], [D] -> [] 2025-12-04T08:54:21.1055579Z >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None)) # [N, D], [D] -> [N] 2025-12-04T08:54:21.1056071Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T08:54:21.1056415Z >>> batched_dot( 2025-12-04T08:54:21.1056681Z ... x, y 2025-12-04T08:54:21.1057021Z ... ) # second arg doesn't have a batch dim because in_dim[1] was None 2025-12-04T08:54:21.1057436Z 2025-12-04T08:54:21.1057801Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct 2025-12-04T08:54:21.1058294Z matching the shape of the input: 2025-12-04T08:54:21.1058590Z 2025-12-04T08:54:21.1058958Z >>> f = lambda dict: torch.dot(dict["x"], dict["y"]) 2025-12-04T08:54:21.1059364Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T08:54:21.1059704Z >>> input = {"x": x, "y": y} 2025-12-04T08:54:21.1060107Z >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},)) 2025-12-04T08:54:21.1060670Z >>> batched_dot(input) 2025-12-04T08:54:21.1060946Z 2025-12-04T08:54:21.1061355Z By default, the output is batched along the first dimension. However, it can be batched 2025-12-04T08:54:21.1061909Z along any dimension by using ``out_dims`` 2025-12-04T08:54:21.1062240Z 2025-12-04T08:54:21.1062467Z >>> f = lambda x: x**2 2025-12-04T08:54:21.1062766Z >>> x = torch.randn(2, 5) 2025-12-04T08:54:21.1063095Z >>> batched_pow = torch.vmap(f, out_dims=1) 2025-12-04T08:54:21.1063449Z >>> batched_pow(x) # [5, 2] 2025-12-04T08:54:21.1063733Z 2025-12-04T08:54:21.1064155Z For any function that uses kwargs, the returned function will not batch the kwargs but will 2025-12-04T08:54:21.1064684Z accept kwargs 2025-12-04T08:54:21.1064916Z 2025-12-04T08:54:21.1065129Z >>> x = torch.randn([2, 5]) 2025-12-04T08:54:21.1065435Z >>> def fn(x, scale=4.): 2025-12-04T08:54:21.1065727Z >>> return x * scale 2025-12-04T08:54:21.1065989Z >>> 2025-12-04T08:54:21.1066234Z >>> batched_pow = torch.vmap(fn) 2025-12-04T08:54:21.1066609Z >>> assert torch.allclose(batched_pow(x), x * 4) 2025-12-04T08:54:21.1067101Z >>> batched_pow(x, scale=x) # scale is not batched, output has shape [2, 2, 5] 2025-12-04T08:54:21.1067608Z 2025-12-04T08:54:21.1067821Z .. note:: 2025-12-04T08:54:21.1068179Z vmap does not provide general autobatching or handle variable-length 2025-12-04T08:54:21.1068641Z sequences out of the box. 2025-12-04T08:54:21.1068925Z 2025-12-04T08:54:21.1069585Z Original Error: IndentationError('expected an indented block after function definition on line 4', ('', 5, 1, '_._ = None\n', 5, 2)) 2025-12-04T08:54:21.1070321Z 2025-12-04T08:54:21.1070515Z _._ = None 2025-12-04T08:54:21.1070736Z ^ 2025-12-04T08:54:21.1070939Z warnings.warn(msg) 2025-12-04T08:54:21.1071193Z 2025-12-04T08:54:21.1071556Z --- Parse Warning: 8 / 17 --- 2025-12-04T08:54:21.1072894Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=grad in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/apis.py line=306. 2025-12-04T08:54:21.1074157Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:54:21.1074783Z ``grad`` operator helps computing gradients of ``func`` with respect to the 2025-12-04T08:54:21.1075358Z input(s) specified by ``argnums``. This operator can be nested to 2025-12-04T08:54:21.1075793Z compute higher-order gradients. 2025-12-04T08:54:21.1076103Z 2025-12-04T08:54:21.1076296Z Args: 2025-12-04T08:54:21.1076636Z func (Callable): A Python function that takes one or more arguments. 2025-12-04T08:54:21.1077248Z Must return a single-element Tensor. If specified ``has_aux`` equals ``True``, 2025-12-04T08:54:21.1077921Z function can return a tuple of single-element Tensor and other auxiliary objects: 2025-12-04T08:54:21.1078423Z ``(output, aux)``. 2025-12-04T08:54:21.1078896Z argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to. 2025-12-04T08:54:21.1079517Z ``argnums`` can be single integer or tuple of integers. Default: 0. 2025-12-04T08:54:21.1080075Z has_aux (bool): Flag indicating that ``func`` returns a tensor and other 2025-12-04T08:54:21.1080589Z auxiliary objects: ``(output, aux)``. Default: False. 2025-12-04T08:54:21.1080961Z 2025-12-04T08:54:21.1081162Z Returns: 2025-12-04T08:54:21.1081595Z Function to compute gradients with respect to its inputs. By default, the output of 2025-12-04T08:54:21.1082246Z the function is the gradient tensor(s) with respect to the first argument. 2025-12-04T08:54:21.1082898Z If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects 2025-12-04T08:54:21.1083632Z is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with 2025-12-04T08:54:21.1084158Z respect to each ``argnums`` value is returned. 2025-12-04T08:54:21.1084524Z 2025-12-04T08:54:21.1084751Z Example of using ``grad``: 2025-12-04T08:54:21.1085032Z 2025-12-04T08:54:21.1085247Z >>> # xdoctest: +SKIP 2025-12-04T08:54:21.1085559Z >>> from torch.func import grad 2025-12-04T08:54:21.1085890Z >>> x = torch.randn([]) 2025-12-04T08:54:21.1086213Z >>> cos_x = grad(lambda x: torch.sin(x))(x) 2025-12-04T08:54:21.1086586Z >>> assert torch.allclose(cos_x, x.cos()) 2025-12-04T08:54:21.1086918Z >>> 2025-12-04T08:54:21.1087152Z >>> # Second-order gradients 2025-12-04T08:54:21.1087527Z >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x) 2025-12-04T08:54:21.1087939Z >>> assert torch.allclose(neg_sin_x, -x.sin()) 2025-12-04T08:54:21.1088267Z 2025-12-04T08:54:21.1088643Z When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients: 2025-12-04T08:54:21.1089114Z 2025-12-04T08:54:21.1089309Z >>> # xdoctest: +SKIP 2025-12-04T08:54:21.1089687Z >>> from torch.func import grad, vmap 2025-12-04T08:54:21.1090054Z >>> batch_size, feature_size = 3, 5 2025-12-04T08:54:21.1090373Z >>> 2025-12-04T08:54:21.1090620Z >>> def model(weights, feature_vec): 2025-12-04T08:54:21.1090990Z >>> # Very simple linear model with activation 2025-12-04T08:54:21.1091365Z >>> assert feature_vec.dim() == 1 2025-12-04T08:54:21.1091720Z >>> return feature_vec.dot(weights).relu() 2025-12-04T08:54:21.1092058Z >>> 2025-12-04T08:54:21.1092335Z >>> def compute_loss(weights, example, target): 2025-12-04T08:54:21.1092701Z >>> y = model(weights, example) 2025-12-04T08:54:21.1093086Z >>> return ((y - target) ** 2).mean() # MSELoss 2025-12-04T08:54:21.1093430Z >>> 2025-12-04T08:54:21.1093742Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T08:54:21.1094194Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T08:54:21.1094596Z >>> targets = torch.randn(batch_size) 2025-12-04T08:54:21.1094964Z >>> inputs = (weights, examples, targets) 2025-12-04T08:54:21.1095448Z >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))( 2025-12-04T08:54:21.1095915Z ... *inputs 2025-12-04T08:54:21.1096180Z ... ) 2025-12-04T08:54:21.1096393Z 2025-12-04T08:54:21.1096694Z Example of using ``grad`` with ``has_aux`` and ``argnums``: 2025-12-04T08:54:21.1097079Z 2025-12-04T08:54:21.1097280Z >>> # xdoctest: +SKIP 2025-12-04T08:54:21.1097588Z >>> from torch.func import grad 2025-12-04T08:54:21.1097933Z >>> def my_loss_func(y, y_pred): 2025-12-04T08:54:21.1098293Z >>> loss_per_sample = (0.5 * y_pred - y) ** 2 2025-12-04T08:54:21.1098655Z >>> loss = loss_per_sample.mean() 2025-12-04T08:54:21.1099121Z >>> return loss, (y_pred, loss_per_sample) 2025-12-04T08:54:21.1099462Z >>> 2025-12-04T08:54:21.1099738Z >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True) 2025-12-04T08:54:21.1100128Z >>> y_true = torch.rand(4) 2025-12-04T08:54:21.1100489Z >>> y_preds = torch.rand(4, requires_grad=True) 2025-12-04T08:54:21.1100848Z >>> out = fn(y_true, y_preds) 2025-12-04T08:54:21.1101323Z >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample)) 2025-12-04T08:54:21.1102064Z 2025-12-04T08:54:21.1102272Z .. note:: 2025-12-04T08:54:21.1102583Z Using PyTorch ``torch.no_grad`` together with ``grad``. 2025-12-04T08:54:21.1102977Z 2025-12-04T08:54:21.1103388Z Case 1: Using ``torch.no_grad`` inside a function: 2025-12-04T08:54:21.1103734Z 2025-12-04T08:54:21.1103953Z >>> # xdoctest: +SKIP 2025-12-04T08:54:21.1104258Z >>> def f(x): 2025-12-04T08:54:21.1104544Z >>> with torch.no_grad(): 2025-12-04T08:54:21.1104865Z >>> c = x ** 2 2025-12-04T08:54:21.1105171Z >>> return x - c 2025-12-04T08:54:21.1105446Z 2025-12-04T08:54:21.1105766Z In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``. 2025-12-04T08:54:21.1106183Z 2025-12-04T08:54:21.1106475Z Case 2: Using ``grad`` inside ``torch.no_grad`` context manager: 2025-12-04T08:54:21.1106880Z 2025-12-04T08:54:21.1107099Z >>> # xdoctest: +SKIP 2025-12-04T08:54:21.1107419Z >>> with torch.no_grad(): 2025-12-04T08:54:21.1107726Z >>> grad(f)(x) 2025-12-04T08:54:21.1107999Z 2025-12-04T08:54:21.1108347Z In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the 2025-12-04T08:54:21.1108925Z outer one. This is because ``grad`` is a "function transform": its result 2025-12-04T08:54:21.1109501Z should not depend on the result of a context manager outside of ``f``. 2025-12-04T08:54:21.1110034Z 2025-12-04T08:54:21.1110216Z 2025-12-04T08:54:21.1110877Z Original Error: IndentationError('expected an indented block after function definition on line 5', ('', 6, 1, '_._ = None\n', 6, 2)) 2025-12-04T08:54:21.1111625Z 2025-12-04T08:54:21.1111824Z _._ = None 2025-12-04T08:54:21.1112026Z ^ 2025-12-04T08:54:21.1112237Z warnings.warn(msg) 2025-12-04T08:54:21.1112488Z 2025-12-04T08:54:21.1112818Z --- Parse Warning: 9 / 17 --- 2025-12-04T08:54:21.1114077Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=CustomOpDef.register_fake in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/custom_ops.py line=402. 2025-12-04T08:54:21.1115473Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:54:21.1116046Z Register a FakeTensor implementation for this custom op. 2025-12-04T08:54:21.1116428Z 2025-12-04T08:54:21.1116794Z This is necessary to get the operator to work efficiently with torch.compile. 2025-12-04T08:54:21.1117263Z 2025-12-04T08:54:21.1117587Z The Fake impl (sometimes also known as a meta kernel or abstract impl) 2025-12-04T08:54:21.1118175Z specifies the behavior of this operator on Tensors that carry no data. 2025-12-04T08:54:21.1118694Z Given some input Tensors with certain properties 2025-12-04T08:54:21.1119223Z (sizes/strides/storage_offset/device), it specifies what the properties of 2025-12-04T08:54:21.1119722Z the output Tensors are. 2025-12-04T08:54:21.1120012Z 2025-12-04T08:54:21.1120346Z Please see :func:`torch.library.register_fake` for more details. 2025-12-04T08:54:21.1120750Z 2025-12-04T08:54:21.1120944Z Args: 2025-12-04T08:54:21.1121271Z fn (Callable): The function to register as the FakeTensor 2025-12-04T08:54:21.1121668Z implementation. 2025-12-04T08:54:21.1121955Z 2025-12-04T08:54:21.1122163Z Examples: 2025-12-04T08:54:21.1122404Z >>> import torch 2025-12-04T08:54:21.1122701Z >>> import numpy as np 2025-12-04T08:54:21.1123032Z >>> from torch import Tensor 2025-12-04T08:54:21.1123329Z >>> 2025-12-04T08:54:21.1123666Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T08:54:21.1124181Z >>> @torch.library.custom_op("mylib::linear", mutates_args=()) 2025-12-04T08:54:21.1124693Z >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T08:54:21.1125227Z >>> return (x @ weight.t()) + bias 2025-12-04T08:54:21.1125559Z >>> 2025-12-04T08:54:21.1125819Z >>> @linear.register_fake 2025-12-04T08:54:21.1126140Z >>> def _(x, weight, bias): 2025-12-04T08:54:21.1126476Z >>> assert x.dim() == 2 2025-12-04T08:54:21.1126813Z >>> assert weight.dim() == 2 2025-12-04T08:54:21.1127146Z >>> assert bias.dim() == 1 2025-12-04T08:54:21.1127506Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T08:54:21.1127894Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T08:54:21.1128283Z >>> assert x.device == weight.device 2025-12-04T08:54:21.1128662Z >>> return x.new_empty(x.size(0), weight.size(0)) 2025-12-04T08:54:21.1129018Z >>> 2025-12-04T08:54:21.1129266Z >>> x = torch.randn(2, 2) 2025-12-04T08:54:21.1129594Z >>> weight = torch.randn(2, 2) 2025-12-04T08:54:21.1129935Z >>> bias = torch.randn(2) 2025-12-04T08:54:21.1130296Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T08:54:21.1130744Z >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias) 2025-12-04T08:54:21.1131257Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T08:54:21.1131774Z >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias)) 2025-12-04T08:54:21.1132246Z >>> 2025-12-04T08:54:21.1132557Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T08:54:21.1133064Z >>> @torch.library.custom_op("mylib::nonzero", mutates_args=()) 2025-12-04T08:54:21.1133511Z >>> def nonzero(x: Tensor) -> Tensor: 2025-12-04T08:54:21.1133851Z >>> x_np = x.cpu().numpy() 2025-12-04T08:54:21.1134214Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T08:54:21.1134615Z >>> return torch.tensor(res, device=x.device) 2025-12-04T08:54:21.1134965Z >>> 2025-12-04T08:54:21.1135211Z >>> @nonzero.register_fake 2025-12-04T08:54:21.1135537Z >>> def _(x): 2025-12-04T08:54:21.1135872Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T08:54:21.1136309Z >>> # Since we cannot peek at the data in an abstract impl, 2025-12-04T08:54:21.1136765Z >>> # we use the ctx object to construct a new symint that 2025-12-04T08:54:21.1137196Z >>> # represents the data-dependent size. 2025-12-04T08:54:21.1137572Z >>> ctx = torch.library.get_ctx() 2025-12-04T08:54:21.1137949Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T08:54:21.1138312Z >>> shape = [nnz, x.dim()] 2025-12-04T08:54:21.1138711Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T08:54:21.1139208Z >>> return result 2025-12-04T08:54:21.1139512Z >>> 2025-12-04T08:54:21.1139789Z >>> x = torch.tensor([0, 1, 2, 0, 0, 1]) 2025-12-04T08:54:21.1140167Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T08:54:21.1140604Z >>> out = torch.compile(nonzero, fullgraph=True)(x) 2025-12-04T08:54:21.1141035Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T08:54:21.1141430Z >>> assert torch.allclose(out, x.nonzero()) 2025-12-04T08:54:21.1141783Z 2025-12-04T08:54:21.1141997Z 2025-12-04T08:54:21.1142694Z Original Error: IndentationError('expected an indented block after function definition on line 36', ('', 37, 1, '_._ = None\n', 37, 2)) 2025-12-04T08:54:21.1143447Z 2025-12-04T08:54:21.1143665Z _._ = None 2025-12-04T08:54:21.1143889Z ^ 2025-12-04T08:54:21.1144098Z warnings.warn(msg) 2025-12-04T08:54:21.1144367Z 2025-12-04T08:54:21.1144784Z --- Parse Warning: 10 / 17 --- 2025-12-04T08:54:21.1146038Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=unsafe_generate_fake_kernels in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_library/fake_profile.py line=94. 2025-12-04T08:54:21.1147466Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-12-04T08:54:21.1147951Z 2025-12-04T08:54:21.1148305Z Registers a fake kernel based on the given operator profiles. This fake 2025-12-04T08:54:21.1148918Z kernel registration will override any existing fake kernel registrations. 2025-12-04T08:54:21.1149386Z 2025-12-04T08:54:21.1149724Z The input is a dictionary mapping operator names to a set of operator 2025-12-04T08:54:21.1150303Z profiles, which we will use to generate fake kernels. The operator profiles 2025-12-04T08:54:21.1150887Z are a record of the input and output tensor metadata. Based on this 2025-12-04T08:54:21.1151474Z information we will match a given input to the recorded profile, and return 2025-12-04T08:54:21.1152087Z an output with the same metadata as in the recorded profile. If a profile 2025-12-04T08:54:21.1152643Z doesn't exist then an exception will be thrown. 2025-12-04T08:54:21.1152994Z 2025-12-04T08:54:21.1153359Z The fake kernel generation is considered unsafe because it relies on the 2025-12-04T08:54:21.1153949Z rigid, pre-defined operator profiles that do not account for potential 2025-12-04T08:54:21.1154571Z variations in output behavior. Specifically, the generated kernels assume a 2025-12-04T08:54:21.1155230Z fixed relationship between input and output ranks. However, in reality, it's 2025-12-04T08:54:21.1155875Z possible that data-dependent operations may produce outputs of different 2025-12-04T08:54:21.1156473Z ranks even when given inputs of the same rank. The generated fake kernels 2025-12-04T08:54:21.1157063Z are inflexible and unable to accommodate these nuances, making them 2025-12-04T08:54:21.1157516Z potentially unsafe. 2025-12-04T08:54:21.1157763Z 2025-12-04T08:54:21.1157970Z Args: 2025-12-04T08:54:21.1158328Z op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator 2025-12-04T08:54:21.1158880Z name to a set of operator profiles from which we will generate fake 2025-12-04T08:54:21.1159309Z kernels. 2025-12-04T08:54:21.1159550Z 2025-12-04T08:54:21.1159747Z Examples: 2025-12-04T08:54:21.1159973Z 2025-12-04T08:54:21.1160270Z >>> # Example: Registering an op-profile from draft-export 2025-12-04T08:54:21.1160655Z >>> import torch 2025-12-04T08:54:21.1161000Z >>> from torch.export._draft_export import draft_export 2025-12-04T08:54:21.1161377Z >>> 2025-12-04T08:54:21.1161698Z >>> @torch.library.custom_op("mylib::foo", mutates_args=()) 2025-12-04T08:54:21.1162130Z >>> def foo(x: Tensor, y: Tensor) -> Tensor: 2025-12-04T08:54:21.1162484Z >>> return x + y 2025-12-04T08:54:21.1162754Z >>> 2025-12-04T08:54:21.1162982Z >>> class M(torch.nn.Module): 2025-12-04T08:54:21.1163310Z >>> def forward(self, a, b): 2025-12-04T08:54:21.1163690Z >>> res = torch.ops.mylib.foo(a, b) # no fake impl 2025-12-04T08:54:21.1164051Z >>> return res 2025-12-04T08:54:21.1164323Z >>> 2025-12-04T08:54:21.1164626Z >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4)) 2025-12-04T08:54:21.1165018Z >>> 2025-12-04T08:54:21.1165438Z >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles): 2025-12-04T08:54:21.1166006Z >>> decomp = ep.run_decompositions() 2025-12-04T08:54:21.1166335Z 2025-12-04T08:54:21.1166522Z 2025-12-04T08:54:21.1167141Z Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced') 2025-12-04T08:54:21.1167914Z 2025-12-04T08:54:21.1168118Z warnings.warn(msg) 2025-12-04T08:54:21.1168381Z 2025-12-04T08:54:21.1168703Z --- Parse Warning: 11 / 17 --- 2025-12-04T08:54:21.1170178Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=ActivationSparsifier in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py line=16. 2025-12-04T08:54:21.1171808Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:54:21.1172277Z 2025-12-04T08:54:21.1172672Z The Activation sparsifier class aims to sparsify/prune activations in a neural 2025-12-04T08:54:21.1173302Z network. The idea is to attach the sparsifier to a layer (or layers) and it 2025-12-04T08:54:21.1173924Z zeroes out the activations based on the mask_fn (or sparsification function) 2025-12-04T08:54:21.1174408Z input by the user. 2025-12-04T08:54:21.1174806Z The mask_fn is applied once all the inputs are aggregated and reduced i.e. 2025-12-04T08:54:21.1175318Z mask = mask_fn(reduce_fn(aggregate_fn(activations))) 2025-12-04T08:54:21.1175746Z 2025-12-04T08:54:21.1175956Z Note:: 2025-12-04T08:54:21.1176399Z The sparsification mask is computed on the input **before it goes through the attached layer**. 2025-12-04T08:54:21.1176932Z 2025-12-04T08:54:21.1177126Z Args: 2025-12-04T08:54:21.1177328Z model (nn.Module): 2025-12-04T08:54:21.1177738Z The model whose layers will be sparsified. The layers that needs to be 2025-12-04T08:54:21.1178339Z sparsified should be added separately using the register_layer() function 2025-12-04T08:54:21.1178924Z aggregate_fn (Optional, Callable): 2025-12-04T08:54:21.1179425Z default aggregate_fn that is used if not specified while registering the layer. 2025-12-04T08:54:21.1179996Z specifies how inputs should be aggregated over time. 2025-12-04T08:54:21.1180582Z The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor. 2025-12-04T08:54:21.1181076Z Example 2025-12-04T08:54:21.1181414Z def add_agg_fn(tensor1, tensor2): return tensor1 + tensor2 2025-12-04T08:54:21.1181836Z reduce_fn (Optional, Callable): 2025-12-04T08:54:21.1182319Z default reduce_fn that is used if not specified while registering the layer. 2025-12-04T08:54:21.1182968Z reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after 2025-12-04T08:54:21.1183478Z calling agg_fn() on all inputs. 2025-12-04T08:54:21.1183813Z Example 2025-12-04T08:54:21.1184176Z def mean_reduce_fn(agg_tensor): return agg_tensor.mean(dim=0) 2025-12-04T08:54:21.1184635Z mask_fn (Optional, Callable): 2025-12-04T08:54:21.1185195Z default mask_fn that is used to create the sparsification mask using the tensor obtained after 2025-12-04T08:54:21.1185905Z calling the reduce_fn(). This is used by default if a custom one is passed in the 2025-12-04T08:54:21.1186421Z register_layer(). 2025-12-04T08:54:21.1187011Z Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config 2025-12-04T08:54:21.1187602Z arguments. 2025-12-04T08:54:21.1187904Z features (Optional, list): 2025-12-04T08:54:21.1188275Z default selected features to sparsify. 2025-12-04T08:54:21.1188806Z If this is non-empty, then the mask_fn will be applied for each feature of the input. 2025-12-04T08:54:21.1189303Z For example, 2025-12-04T08:54:21.1189763Z mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features] 2025-12-04T08:54:21.1190363Z feature_dim (Optional, int): 2025-12-04T08:54:21.1190885Z default dimension of input features. Again, features along this dim will be chosen 2025-12-04T08:54:21.1191402Z for sparsification. 2025-12-04T08:54:21.1191742Z sparse_config (Dict): 2025-12-04T08:54:21.1192189Z Default configuration for the mask_fn. This config will be passed 2025-12-04T08:54:21.1192639Z with the mask_fn() 2025-12-04T08:54:21.1192943Z 2025-12-04T08:54:21.1193154Z Example: 2025-12-04T08:54:21.1193380Z >>> # xdoctest: +SKIP 2025-12-04T08:54:21.1193677Z >>> model = SomeModel() 2025-12-04T08:54:21.1194122Z >>> act_sparsifier = ActivationSparsifier(...) # init activation sparsifier 2025-12-04T08:54:21.1194615Z >>> # Initialize aggregate_fn 2025-12-04T08:54:21.1194715Z >>> def agg_fn(x, y): 2025-12-04T08:54:21.1194815Z >>> return x + y 2025-12-04T08:54:21.1194916Z >>> 2025-12-04T08:54:21.1195027Z >>> # Initialize reduce_fn 2025-12-04T08:54:21.1195129Z >>> def reduce_fn(x): 2025-12-04T08:54:21.1195259Z >>> return torch.mean(x, dim=0) 2025-12-04T08:54:21.1195404Z >>> 2025-12-04T08:54:21.1195511Z >>> # Initialize mask_fn 2025-12-04T08:54:21.1195626Z >>> def mask_fn(data): 2025-12-04T08:54:21.1195780Z >>> return torch.eye(data.shape).to(data.device) 2025-12-04T08:54:21.1195866Z >>> 2025-12-04T08:54:21.1195970Z >>> 2025-12-04T08:54:21.1196089Z >>> act_sparsifier.register_layer( 2025-12-04T08:54:21.1196202Z ... model.some_layer, 2025-12-04T08:54:21.1196299Z ... aggregate_fn=agg_fn, 2025-12-04T08:54:21.1196398Z ... reduce_fn=reduce_fn, 2025-12-04T08:54:21.1196512Z ... mask_fn=mask_fn, 2025-12-04T08:54:21.1196596Z ... ) 2025-12-04T08:54:21.1196676Z >>> 2025-12-04T08:54:21.1196790Z >>> # start training process 2025-12-04T08:54:21.1196887Z >>> for _ in [...]: 2025-12-04T08:54:21.1196980Z >>> # epoch starts 2025-12-04T08:54:21.1197168Z >>> # model.forward(), compute_loss() and model.backwards() 2025-12-04T08:54:21.1197265Z >>> # epoch ends 2025-12-04T08:54:21.1197374Z >>> act_sparsifier.step() 2025-12-04T08:54:21.1197487Z >>> # end training process 2025-12-04T08:54:21.1197591Z >>> sparsifier.squash_mask() 2025-12-04T08:54:21.1197684Z 2025-12-04T08:54:21.1198208Z Original Error: IndentationError("expected an indented block after 'for' statement on line 25", ('', 26, 1, '_._ = None\n', 26, 2)) 2025-12-04T08:54:21.1198290Z 2025-12-04T08:54:21.1198387Z _._ = None 2025-12-04T08:54:21.1198470Z ^ 2025-12-04T08:54:21.1198567Z warnings.warn(msg) 2025-12-04T08:54:21.1198660Z 2025-12-04T08:54:21.1198877Z --- Parse Warning: 12 / 17 --- 2025-12-04T08:54:21.1199887Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/device_mesh.py line=547. 2025-12-04T08:54:21.1200161Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:54:21.1200246Z 2025-12-04T08:54:21.1200541Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh. 2025-12-04T08:54:21.1200812Z The submesh created consists of the dimensions and the communicators indicated by 2025-12-04T08:54:21.1200909Z ``mesh_dim_names`` 2025-12-04T08:54:21.1201006Z 2025-12-04T08:54:21.1201089Z Args: 2025-12-04T08:54:21.1201329Z mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the 2025-12-04T08:54:21.1201534Z mesh dimension of the DeviceMesh to create the submesh for. 2025-12-04T08:54:21.1201948Z Returns: 2025-12-04T08:54:21.1202080Z A :class:`DeviceMesh` object 2025-12-04T08:54:21.1202280Z 2025-12-04T08:54:21.1202579Z The following program runs on each process/rank in an SPMD manner in a world size of 8. 2025-12-04T08:54:21.1202697Z In the first example: 2025-12-04T08:54:21.1202962Z Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]). 2025-12-04T08:54:21.1203219Z Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of DeviceMesh:([4, 5, 6, 7]). 2025-12-04T08:54:21.1203466Z Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of DeviceMesh:([0, 4]). 2025-12-04T08:54:21.1203694Z Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of DeviceMesh:([1, 5]). 2025-12-04T08:54:21.1203937Z Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of DeviceMesh:([2, 6]). 2025-12-04T08:54:21.1204165Z Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of DeviceMesh:([3, 7]). 2025-12-04T08:54:21.1204248Z 2025-12-04T08:54:21.1204362Z In the second example: 2025-12-04T08:54:21.1204641Z Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]). 2025-12-04T08:54:21.1204909Z Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]). 2025-12-04T08:54:21.1205267Z Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]). 2025-12-04T08:54:21.1205537Z Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]). 2025-12-04T08:54:21.1205630Z 2025-12-04T08:54:21.1205727Z Example:: 2025-12-04T08:54:21.1205811Z 2025-12-04T08:54:21.1205937Z >>> # xdoctest: +SKIP("no rank") 2025-12-04T08:54:21.1206113Z >>> from torch.distributed.device_mesh import DeviceMesh 2025-12-04T08:54:21.1206195Z >>> 2025-12-04T08:54:21.1206416Z >>> # Initialize a 2D device mesh as (2, 4) to represent the topology 2025-12-04T08:54:21.1206567Z >>> # of cross-host(dim 0), and within-host (dim 1). 2025-12-04T08:54:21.1206829Z >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T08:54:21.1206947Z >>> tp_mesh = mesh_2d["tp"] 2025-12-04T08:54:21.1207051Z >>> dp_mesh = mesh_2d["dp"] 2025-12-04T08:54:21.1207147Z >>> 2025-12-04T08:54:21.1207248Z >>> # Initialize a 3D mesh. 2025-12-04T08:54:21.1207535Z >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp")) 2025-12-04T08:54:21.1207859Z >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh. 2025-12-04T08:54:21.1207975Z >>> dp_cp_mesh = mesh_3d["dp", "cp"] 2025-12-04T08:54:21.1208088Z >>> cp_dp_mesh = mesh_3d["cp", "dp"] 2025-12-04T08:54:21.1208183Z 2025-12-04T08:54:21.1208900Z 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)) 2025-12-04T08:54:21.1208999Z 2025-12-04T08:54:21.1209255Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T08:54:21.1209377Z ^ 2025-12-04T08:54:21.1209488Z warnings.warn(msg) 2025-12-04T08:54:21.1209573Z 2025-12-04T08:54:21.1209788Z --- Parse Warning: 13 / 17 --- 2025-12-04T08:54:21.1210817Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=SavePlanner in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/planner.py line=122. 2025-12-04T08:54:21.1211073Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:54:21.1211171Z 2025-12-04T08:54:21.1211466Z Abstract class defining the protocol used by save_state_dict to plan the save process. 2025-12-04T08:54:21.1211600Z 2025-12-04T08:54:21.1211917Z SavePlanners are stateful objects that can be used to customize the whole save process. 2025-12-04T08:54:21.1211996Z 2025-12-04T08:54:21.1212280Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T08:54:21.1212412Z will be visible to the whole process. 2025-12-04T08:54:21.1212493Z 2025-12-04T08:54:21.1212777Z A planner subclass can expect the following sequence of calls during save_state_dict: 2025-12-04T08:54:21.1212871Z 2025-12-04T08:54:21.1212995Z 1) set_up_planner - called on all ranks. 2025-12-04T08:54:21.1213135Z Signals the start of a checkpoint save. 2025-12-04T08:54:21.1213217Z 2025-12-04T08:54:21.1213345Z 2) create_local_plan - called on all ranks. 2025-12-04T08:54:21.1213658Z Process the state_dict and produces a `SavePlan` that will be sent for global planning. 2025-12-04T08:54:21.1213744Z 2025-12-04T08:54:21.1213936Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T08:54:21.1214153Z Takes the SavePlan from all ranks and make any global decision. 2025-12-04T08:54:21.1214234Z 2025-12-04T08:54:21.1214348Z 4) finish_plan - called on all ranks. 2025-12-04T08:54:21.1214635Z This gives each rank a chance to adjust to global planning decisions. 2025-12-04T08:54:21.1214720Z 2025-12-04T08:54:21.1214893Z 5) resolve_data - called multiple times on each rank 2025-12-04T08:54:21.1215101Z Lookups a value on the `state_dict` for the storage layer to write. 2025-12-04T08:54:21.1215182Z 2025-12-04T08:54:21.1215511Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as 2025-12-04T08:54:21.1215701Z most changes can be expressed by changes in a single method. 2025-12-04T08:54:21.1215781Z 2025-12-04T08:54:21.1215920Z There are 3 usual patterns of extension: 2025-12-04T08:54:21.1216001Z 2025-12-04T08:54:21.1216267Z Rewriting state_dict. This is the simplest way to extend the save process as it 2025-12-04T08:54:21.1216514Z doesn't requite understanding the intrincacies of how SavePlan works: 2025-12-04T08:54:21.1216597Z 2025-12-04T08:54:21.1216737Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T08:54:21.1216874Z >>> class RenamePlanner(DefaultSavePlanner): 2025-12-04T08:54:21.1216975Z >>> def set_up_planner( 2025-12-04T08:54:21.1217084Z >>> self, 2025-12-04T08:54:21.1217198Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T08:54:21.1217326Z >>> storage_meta: Optional[StorageMeta], 2025-12-04T08:54:21.1217442Z >>> is_coordinator: bool, 2025-12-04T08:54:21.1217530Z >>> ) -> None: 2025-12-04T08:54:21.1217637Z >>> # prefix all keys with `foo_`` 2025-12-04T08:54:21.1217948Z >>> super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator) 2025-12-04T08:54:21.1218031Z 2025-12-04T08:54:21.1218391Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted 2025-12-04T08:54:21.1218471Z 2025-12-04T08:54:21.1218587Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T08:54:21.1218826Z >>> class FP16Planner(DefaultSavePlanner): 2025-12-04T08:54:21.1218944Z >>> def create_local_plan(self): 2025-12-04T08:54:21.1219067Z >>> plan = super().create_local_plan() 2025-12-04T08:54:21.1219180Z >>> for p in plan: 2025-12-04T08:54:21.1219300Z >>> if p.tensor_data is not None: 2025-12-04T08:54:21.1219461Z >>> p.tensor_data.properties.dtype = torch.float16 2025-12-04T08:54:21.1219569Z >>> return plan 2025-12-04T08:54:21.1219653Z >>> 2025-12-04T08:54:21.1219782Z >>> def resolve_data(self, write_item): 2025-12-04T08:54:21.1219913Z >>> item = super().resolve_data(write_item) 2025-12-04T08:54:21.1220250Z >>> return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16) 2025-12-04T08:54:21.1220344Z 2025-12-04T08:54:21.1220702Z Using the global planning step to make central decisions that can't be made individually by each rank 2025-12-04T08:54:21.1220787Z 2025-12-04T08:54:21.1220919Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T08:54:21.1221037Z >>> from itertools import zip_longest 2025-12-04T08:54:21.1221146Z >>> from dataclasses import replace 2025-12-04T08:54:21.1221325Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner): 2025-12-04T08:54:21.1221608Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0 2025-12-04T08:54:21.1221751Z >>> # This sample doesn't handle ShardedTensors 2025-12-04T08:54:21.1221882Z >>> def create_global_plan(self, all_plans): 2025-12-04T08:54:21.1222032Z >>> iters = [iter(all_plans[0].items)] * len(all_plans) 2025-12-04T08:54:21.1222143Z >>> items_per_rank = [ 2025-12-04T08:54:21.1222287Z >>> [item for item in items if item is not None] 2025-12-04T08:54:21.1222447Z >>> for items in zip(*zip_longest(*iters), strict=True) 2025-12-04T08:54:21.1229477Z >>> ] 2025-12-04T08:54:21.1229782Z >>> all_plans = [ 2025-12-04T08:54:21.1229925Z >>> replace(plan, items=items) 2025-12-04T08:54:21.1230132Z >>> for plan, items in zip(all_plans, items_per_rank, strict=True) 2025-12-04T08:54:21.1230213Z >>> ] 2025-12-04T08:54:21.1230361Z >>> return super().create_global_plan(all_plans) 2025-12-04T08:54:21.1230455Z 2025-12-04T08:54:21.1230736Z Finally, some planners need to save additional metadata in the checkpoint, this is 2025-12-04T08:54:21.1231014Z accomplished by having each rank contribute their data items in the local plan and 2025-12-04T08:54:21.1231144Z the global planner aggregate them: 2025-12-04T08:54:21.1231224Z 2025-12-04T08:54:21.1231340Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T08:54:21.1231519Z >>> class SaveExtraDataPlanner(DefaultSavePlanner): 2025-12-04T08:54:21.1231656Z >>> def create_local_plan(self) -> SavePlan: 2025-12-04T08:54:21.1231778Z >>> plan = super().create_local_plan() 2025-12-04T08:54:21.1231963Z >>> return replace(plan, planner_data="per-rank-data") 2025-12-04T08:54:21.1232047Z >>> 2025-12-04T08:54:21.1232370Z >>> def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]: 2025-12-04T08:54:21.1232571Z >>> global_plan, metadata = super().create_global_plan(all_plans) 2025-12-04T08:54:21.1232736Z >>> merged_data = [p.planner_data for p in global_plan] 2025-12-04T08:54:21.1232920Z >>> metadata = replace(metadata, planner_data=merged_data) 2025-12-04T08:54:21.1233038Z >>> return global_plan, metadata 2025-12-04T08:54:21.1233122Z 2025-12-04T08:54:21.1233689Z Original Error: IndentationError('expected an indented block after function definition on line 3', ('', 9, 0, '_._ = None\n', 9, -1)) 2025-12-04T08:54:21.1233773Z 2025-12-04T08:54:21.1233875Z _._ = None 2025-12-04T08:54:21.1233955Z ^ 2025-12-04T08:54:21.1234061Z warnings.warn(msg) 2025-12-04T08:54:21.1234155Z 2025-12-04T08:54:21.1234403Z --- Parse Warning: 14 / 17 --- 2025-12-04T08:54:21.1235416Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=LoadPlanner in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/checkpoint/planner.py line=305. 2025-12-04T08:54:21.1235679Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:54:21.1235757Z 2025-12-04T08:54:21.1236052Z Abstract class defining the protocol used by load_state_dict to plan the load process. 2025-12-04T08:54:21.1236143Z 2025-12-04T08:54:21.1236523Z LoadPlanner are stateful objects that can be used to customize the whole load process. 2025-12-04T08:54:21.1236615Z 2025-12-04T08:54:21.1236901Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T08:54:21.1237019Z will be visible to the whole process. 2025-12-04T08:54:21.1237115Z 2025-12-04T08:54:21.1237396Z A planner subclass can expect the following sequence of calls during load_state_dict: 2025-12-04T08:54:21.1237476Z 2025-12-04T08:54:21.1237611Z 1) set_up_planner - called on all ranks. 2025-12-04T08:54:21.1237743Z Signals the start of loading a checkpoint. 2025-12-04T08:54:21.1237824Z 2025-12-04T08:54:21.1237963Z 2) create_local_plan - called on all ranks. 2025-12-04T08:54:21.1238261Z Process the state_dict and produces a `LoadPlan` that will be sent for global planning. 2025-12-04T08:54:21.1238357Z 2025-12-04T08:54:21.1238541Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T08:54:21.1238747Z Takes the LoadPlan from all ranks and make any global decision. 2025-12-04T08:54:21.1238839Z 2025-12-04T08:54:21.1238989Z 4) load_bytes - called multiple times on each rank 2025-12-04T08:54:21.1239161Z This is called once per non-tensor value in state_dict. 2025-12-04T08:54:21.1239308Z 2025-12-04T08:54:21.1239537Z 5) resolve_tensor and commit_tensor - called multiple times on each rank 2025-12-04T08:54:21.1239725Z They are called in pair for each Tensor value in state_dict. 2025-12-04T08:54:21.1239814Z 2025-12-04T08:54:21.1240132Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as 2025-12-04T08:54:21.1240338Z most changes can be expressed by changes in a single method. 2025-12-04T08:54:21.1240416Z 2025-12-04T08:54:21.1240550Z There are two usual patterns of extension: 2025-12-04T08:54:21.1240645Z 2025-12-04T08:54:21.1240905Z Rewriting state_dict. This is the simplest way to extend the load process as it 2025-12-04T08:54:21.1241171Z doesn't requite understanding the intrincacies of how LoadPlan works. We need 2025-12-04T08:54:21.1241420Z to keep a reference to the original state_dict as load happens in place so 2025-12-04T08:54:21.1241546Z we need to be able to perform it in place 2025-12-04T08:54:21.1241642Z 2025-12-04T08:54:21.1241755Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T08:54:21.1241887Z >>> class RenamePlanner(DefaultLoadPlanner): 2025-12-04T08:54:21.1242000Z >>> def set_up_planner( 2025-12-04T08:54:21.1242084Z >>> self, 2025-12-04T08:54:21.1242197Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T08:54:21.1242312Z >>> metadata: Metadata, 2025-12-04T08:54:21.1242414Z >>> is_coordinator: bool, 2025-12-04T08:54:21.1242503Z >>> ) -> None: 2025-12-04T08:54:21.1242648Z >>> self.original_state_dict = state_dict 2025-12-04T08:54:21.1242825Z >>> state_dict = {"foo_" + k: v for k, v in state_dict.items()} 2025-12-04T08:54:21.1242914Z >>> 2025-12-04T08:54:21.1243048Z >>> if self.flatten_sharded_tensors: 2025-12-04T08:54:21.1243201Z >>> state_dict = _flatten_sharded_tensors(state_dict) 2025-12-04T08:54:21.1243301Z >>> 2025-12-04T08:54:21.1243410Z >>> if self.flatten_state_dict: 2025-12-04T08:54:21.1243596Z >>> state_dict, self.mappings = flatten_state_dict(state_dict) 2025-12-04T08:54:21.1243695Z >>> 2025-12-04T08:54:21.1243806Z >>> self.state_dict = state_dict 2025-12-04T08:54:21.1243912Z >>> self.metadata = metadata 2025-12-04T08:54:21.1244052Z >>> self.is_coordinator = is_coordinator 2025-12-04T08:54:21.1244131Z >>> 2025-12-04T08:54:21.1244256Z >>> def load_bytes(self, read_item, value): 2025-12-04T08:54:21.1244381Z >>> # Remove the "foo_" prefix 2025-12-04T08:54:21.1244712Z >>> self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False) 2025-12-04T08:54:21.1244805Z 2025-12-04T08:54:21.1244941Z 2025-12-04T08:54:21.1245212Z Modifying resolve_tensor and commit_tensor to handle load time transformation. 2025-12-04T08:54:21.1245308Z 2025-12-04T08:54:21.1245428Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T08:54:21.1245589Z >>> class MetaModelMaterialize(DefaultSavePlanner): 2025-12-04T08:54:21.1245720Z >>> def resolve_tensor(self, read_item): 2025-12-04T08:54:21.1245853Z >>> tensor = super().resolve_tensor(read_item) 2025-12-04T08:54:21.1246001Z >>> return torch.empty_like(tensor, device="cpu") 2025-12-04T08:54:21.1246099Z >>> 2025-12-04T08:54:21.1246232Z >>> def commit_tensor(self, read_item, tensor): 2025-12-04T08:54:21.1246405Z >>> self.state_dict[read_item.dest_index.fqn] = tensor 2025-12-04T08:54:21.1246488Z 2025-12-04T08:54:21.1247049Z Original Error: IndentationError('expected an indented block after function definition on line 22', ('', 23, 0, '_._ = None\n', 23, -1)) 2025-12-04T08:54:21.1247140Z 2025-12-04T08:54:21.1247225Z _._ = None 2025-12-04T08:54:21.1247303Z ^ 2025-12-04T08:54:21.1247410Z warnings.warn(msg) 2025-12-04T08:54:21.1247489Z 2025-12-04T08:54:21.1247735Z --- Parse Warning: 15 / 17 --- 2025-12-04T08:54:21.1248747Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=FullStateDictConfig in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/distributed/fsdp/api.py line=295. 2025-12-04T08:54:21.1249006Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:54:21.1249100Z 2025-12-04T08:54:21.1249311Z ``FullStateDictConfig`` is a config class meant to be used with 2025-12-04T08:54:21.1249509Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both 2025-12-04T08:54:21.1249730Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state 2025-12-04T08:54:21.1249961Z dicts to save GPU memory and CPU memory, respectively. This config class 2025-12-04T08:54:21.1250166Z is meant to be used via the :func:`state_dict_type` context manager as 2025-12-04T08:54:21.1250267Z follows: 2025-12-04T08:54:21.1250352Z 2025-12-04T08:54:21.1250495Z >>> # xdoctest: +SKIP("undefined variables") 2025-12-04T08:54:21.1250736Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-12-04T08:54:21.1250869Z >>> fsdp = FSDP(model, auto_wrap_policy=...) 2025-12-04T08:54:21.1251089Z >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True) 2025-12-04T08:54:21.1251314Z >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg): 2025-12-04T08:54:21.1251427Z >>> state = fsdp.state_dict() 2025-12-04T08:54:21.1251653Z >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0. 2025-12-04T08:54:21.1251900Z >>> # To reload checkpoint for inference, finetuning, transfer learning, etc: 2025-12-04T08:54:21.1252147Z >>> model = model_fn() # Initialize model in preparation for wrapping with FSDP 2025-12-04T08:54:21.1252258Z >>> if dist.get_rank() == 0: 2025-12-04T08:54:21.1252449Z >>> # Load checkpoint only on rank 0 to avoid memory redundancy 2025-12-04T08:54:21.1252601Z >>> state_dict = torch.load("my_checkpoint.pt") 2025-12-04T08:54:21.1252723Z >>> model.load_state_dict(state_dict) 2025-12-04T08:54:21.1252960Z >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument 2025-12-04T08:54:21.1253213Z >>> # communicates loaded checkpoint states from rank 0 to rest of the world. 2025-12-04T08:54:21.1253308Z >>> fsdp = FSDP( 2025-12-04T08:54:21.1253393Z ... model, 2025-12-04T08:54:21.1253537Z ... device_id=torch.cuda.current_device(), 2025-12-04T08:54:21.1253645Z ... auto_wrap_policy=..., 2025-12-04T08:54:21.1253762Z ... sync_module_states=True, 2025-12-04T08:54:21.1253901Z ... ) 2025-12-04T08:54:21.1254123Z >>> # After this point, all ranks have FSDP model with loaded checkpoint. 2025-12-04T08:54:21.1254214Z 2025-12-04T08:54:21.1254307Z Attributes: 2025-12-04T08:54:21.1254512Z rank0_only (bool): If ``True``, then only rank 0 saves the full state 2025-12-04T08:54:21.1254731Z dict, and nonzero ranks save an empty dict. If ``False``, then all 2025-12-04T08:54:21.1254892Z ranks save the full state dict. (Default: ``False``) 2025-12-04T08:54:21.1254977Z 2025-12-04T08:54:21.1255502Z Original Error: IndentationError("expected an indented block after 'if' statement on line 10", ('', 11, 1, '_._ = None\n', 11, 2)) 2025-12-04T08:54:21.1255582Z 2025-12-04T08:54:21.1255679Z _._ = None 2025-12-04T08:54:21.1255755Z ^ 2025-12-04T08:54:21.1255851Z warnings.warn(msg) 2025-12-04T08:54:21.1255937Z 2025-12-04T08:54:21.1256128Z --- Parse Warning: 16 / 17 --- 2025-12-04T08:54:21.1257134Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=register_parametrization in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/nn/utils/parametrize.py line=437. 2025-12-04T08:54:21.1257456Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:54:21.1257615Z Register a parametrization to a tensor in a module. 2025-12-04T08:54:21.1257711Z 2025-12-04T08:54:21.1257993Z Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``, 2025-12-04T08:54:21.1258281Z the module will return the parametrized version ``parametrization(module.weight)``. 2025-12-04T08:54:21.1258560Z If the original tensor requires a gradient, the backward pass will differentiate 2025-12-04T08:54:21.1258990Z through :attr:`parametrization`, and the optimizer will update the tensor accordingly. 2025-12-04T08:54:21.1259080Z 2025-12-04T08:54:21.1259420Z The first time that a module registers a parametrization, this function will add an attribute 2025-12-04T08:54:21.1259670Z ``parametrizations`` to the module of type :class:`~ParametrizationList`. 2025-12-04T08:54:21.1259772Z 2025-12-04T08:54:21.1260033Z The list of parametrizations on the tensor ``weight`` will be accessible under 2025-12-04T08:54:21.1260164Z ``module.parametrizations.weight``. 2025-12-04T08:54:21.1260259Z 2025-12-04T08:54:21.1260398Z The original tensor will be accessible under 2025-12-04T08:54:21.1260552Z ``module.parametrizations.weight.original``. 2025-12-04T08:54:21.1260641Z 2025-12-04T08:54:21.1260911Z Parametrizations may be concatenated by registering several parametrizations 2025-12-04T08:54:21.1261013Z on the same attribute. 2025-12-04T08:54:21.1261108Z 2025-12-04T08:54:21.1261355Z The training mode of a registered parametrization is updated on registration 2025-12-04T08:54:21.1261511Z to match the training mode of the host module 2025-12-04T08:54:21.1261592Z 2025-12-04T08:54:21.1261907Z Parametrized parameters and buffers have an inbuilt caching system that can be activated 2025-12-04T08:54:21.1262053Z using the context manager :func:`cached`. 2025-12-04T08:54:21.1262136Z 2025-12-04T08:54:21.1262386Z A :attr:`parametrization` may optionally implement a method with signature 2025-12-04T08:54:21.1262482Z 2025-12-04T08:54:21.1262599Z .. code-block:: python 2025-12-04T08:54:21.1262677Z 2025-12-04T08:54:21.1262909Z def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]] 2025-12-04T08:54:21.1262987Z 2025-12-04T08:54:21.1263267Z This method is called on the unparametrized tensor when the first parametrization 2025-12-04T08:54:21.1263481Z is registered to compute the initial value of the original tensor. 2025-12-04T08:54:21.1263852Z If this method is not implemented, the original tensor will be just the unparametrized tensor. 2025-12-04T08:54:21.1263946Z 2025-12-04T08:54:21.1264269Z If all the parametrizations registered on a tensor implement `right_inverse` it is possible 2025-12-04T08:54:21.1264571Z to initialize a parametrized tensor by assigning to it, as shown in the example below. 2025-12-04T08:54:21.1264662Z 2025-12-04T08:54:21.1264894Z It is possible for the first parametrization to depend on several inputs. 2025-12-04T08:54:21.1265155Z This may be implemented returning a tuple of tensors from ``right_inverse`` 2025-12-04T08:54:21.1265397Z (see the example implementation of a ``RankOne`` parametrization below). 2025-12-04T08:54:21.1265479Z 2025-12-04T08:54:21.1265847Z In this case, the unconstrained tensors are also located under ``module.parametrizations.weight`` 2025-12-04T08:54:21.1265984Z with names ``original0``, ``original1``,... 2025-12-04T08:54:21.1266065Z 2025-12-04T08:54:21.1266175Z .. note:: 2025-12-04T08:54:21.1266261Z 2025-12-04T08:54:21.1266537Z If unsafe=False (default) both the forward and right_inverse methods will be called 2025-12-04T08:54:21.1266798Z once to perform a number of consistency checks. 2025-12-04T08:54:21.1267082Z If unsafe=True, then right_inverse will be called if the tensor is not parametrized, 2025-12-04T08:54:21.1267220Z and nothing will be called otherwise. 2025-12-04T08:54:21.1267305Z 2025-12-04T08:54:21.1267397Z .. note:: 2025-12-04T08:54:21.1267498Z 2025-12-04T08:54:21.1267713Z In most situations, ``right_inverse`` will be a function such that 2025-12-04T08:54:21.1267844Z ``forward(right_inverse(X)) == X`` (see 2025-12-04T08:54:21.1268160Z `right inverse `_). 2025-12-04T08:54:21.1268425Z Sometimes, when the parametrization is not surjective, it may be reasonable 2025-12-04T08:54:21.1268537Z to relax this. 2025-12-04T08:54:21.1268619Z 2025-12-04T08:54:21.1268710Z .. warning:: 2025-12-04T08:54:21.1268808Z 2025-12-04T08:54:21.1269091Z If a parametrization depends on several inputs, :func:`~register_parametrization` 2025-12-04T08:54:21.1269367Z will register a number of new parameters. If such parametrization is registered 2025-12-04T08:54:21.1269656Z after the optimizer is created, these new parameters will need to be added manually 2025-12-04T08:54:21.1269860Z to the optimizer. See :meth:`torch.Optimizer.add_param_group`. 2025-12-04T08:54:21.1269943Z 2025-12-04T08:54:21.1270039Z Args: 2025-12-04T08:54:21.1270258Z module (nn.Module): module on which to register the parametrization 2025-12-04T08:54:21.1270490Z tensor_name (str): name of the parameter or buffer on which to register 2025-12-04T08:54:21.1270596Z the parametrization 2025-12-04T08:54:21.1270811Z parametrization (nn.Module): the parametrization to register 2025-12-04T08:54:21.1270921Z Keyword args: 2025-12-04T08:54:21.1271149Z unsafe (bool): a boolean flag that denotes whether the parametrization 2025-12-04T08:54:21.1271355Z may change the dtype and shape of the tensor. Default: `False` 2025-12-04T08:54:21.1271639Z Warning: the parametrization is not checked for consistency upon registration. 2025-12-04T08:54:21.1271760Z Enable this flag at your own risk. 2025-12-04T08:54:21.1271857Z 2025-12-04T08:54:21.1271940Z Raises: 2025-12-04T08:54:21.1272234Z ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name` 2025-12-04T08:54:21.1272331Z 2025-12-04T08:54:21.1272415Z Examples: 2025-12-04T08:54:21.1272568Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK) 2025-12-04T08:54:21.1272678Z >>> import torch 2025-12-04T08:54:21.1272835Z >>> import torch.nn as nn 2025-12-04T08:54:21.1272974Z >>> import torch.nn.utils.parametrize as P 2025-12-04T08:54:21.1273073Z >>> 2025-12-04T08:54:21.1273187Z >>> class Symmetric(nn.Module): 2025-12-04T08:54:21.1273295Z >>> def forward(self, X): 2025-12-04T08:54:21.1273489Z >>> return X.triu() + X.triu(1).T # Return a symmetric matrix 2025-12-04T08:54:21.1273569Z >>> 2025-12-04T08:54:21.1273695Z >>> def right_inverse(self, A): 2025-12-04T08:54:21.1273791Z >>> return A.triu() 2025-12-04T08:54:21.1273871Z >>> 2025-12-04T08:54:21.1273984Z >>> m = nn.Linear(5, 5) 2025-12-04T08:54:21.1274152Z >>> P.register_parametrization(m, "weight", Symmetric()) 2025-12-04T08:54:21.1274397Z >>> print(torch.allclose(m.weight, m.weight.T)) # m.weight is now symmetric 2025-12-04T08:54:21.1274492Z True 2025-12-04T08:54:21.1274592Z >>> A = torch.rand(5, 5) 2025-12-04T08:54:21.1274704Z >>> A = A + A.T # A is now symmetric 2025-12-04T08:54:21.1274922Z >>> m.weight = A # Initialize the weight to be the symmetric matrix A 2025-12-04T08:54:21.1275096Z >>> print(torch.allclose(m.weight, A)) 2025-12-04T08:54:21.1275190Z True 2025-12-04T08:54:21.1275272Z 2025-12-04T08:54:21.1275378Z >>> class RankOne(nn.Module): 2025-12-04T08:54:21.1275501Z >>> def forward(self, x, y): 2025-12-04T08:54:21.1275650Z >>> # Form a rank 1 matrix multiplying two vectors 2025-12-04T08:54:21.1275781Z >>> return x.unsqueeze(-1) @ y.unsqueeze(-2) 2025-12-04T08:54:21.1275874Z >>> 2025-12-04T08:54:21.1275989Z >>> def right_inverse(self, Z): 2025-12-04T08:54:21.1276109Z >>> # Project Z onto the rank 1 matrices 2025-12-04T08:54:21.1276278Z >>> U, S, Vh = torch.linalg.svd(Z, full_matrices=False) 2025-12-04T08:54:21.1276405Z >>> # Return rescaled singular vectors 2025-12-04T08:54:21.1276538Z >>> s0_sqrt = S[0].sqrt().unsqueeze(-1) 2025-12-04T08:54:21.1276689Z >>> return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt 2025-12-04T08:54:21.1276771Z >>> 2025-12-04T08:54:21.1276933Z >>> linear_rank_one = P.register_parametrization( 2025-12-04T08:54:21.1277061Z ... nn.Linear(4, 4), "weight", RankOne() 2025-12-04T08:54:21.1277141Z ... ) 2025-12-04T08:54:21.1277363Z >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item()) 2025-12-04T08:54:21.1277447Z 1 2025-12-04T08:54:21.1277527Z 2025-12-04T08:54:21.1277620Z 2025-12-04T08:54:21.1278168Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 3, 0, '_._ = None\n', 3, -1)) 2025-12-04T08:54:21.1278261Z 2025-12-04T08:54:21.1278350Z _._ = None 2025-12-04T08:54:21.1278431Z ^ 2025-12-04T08:54:21.1278535Z warnings.warn(msg) 2025-12-04T08:54:21.1278615Z 2025-12-04T08:54:21.1278833Z --- Parse Warning: 17 / 17 --- 2025-12-04T08:54:21.1279831Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=ReduceLROnPlateau in modpath=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/optim/lr_scheduler.py line=1586. 2025-12-04T08:54:21.1280088Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T08:54:21.1280289Z Reduce learning rate when a metric has stopped improving. 2025-12-04T08:54:21.1280371Z 2025-12-04T08:54:21.1280579Z Models often benefit from reducing the learning rate by a factor 2025-12-04T08:54:21.1280784Z of 2-10 once learning stagnates. This scheduler reads a metrics 2025-12-04T08:54:21.1280983Z quantity and if no improvement is seen for a 'patience' number 2025-12-04T08:54:21.1281161Z of epochs, the learning rate is reduced. 2025-12-04T08:54:21.1281253Z 2025-12-04T08:54:21.1281339Z Args: 2025-12-04T08:54:21.1281478Z optimizer (Optimizer): Wrapped optimizer. 2025-12-04T08:54:21.1281652Z mode (str): One of `min`, `max`. In `min` mode, lr will 2025-12-04T08:54:21.1281812Z be reduced when the quantity monitored has stopped 2025-12-04T08:54:21.1281990Z decreasing; in `max` mode it will be reduced when the 2025-12-04T08:54:21.1282186Z quantity monitored has stopped increasing. Default: 'min'. 2025-12-04T08:54:21.1282360Z factor (float): Factor by which the learning rate will be 2025-12-04T08:54:21.1282511Z reduced. new_lr = lr * factor. Default: 0.1. 2025-12-04T08:54:21.1282737Z patience (int): The number of allowed epochs with no improvement after 2025-12-04T08:54:21.1282867Z which the learning rate will be reduced. 2025-12-04T08:54:21.1283114Z For example, consider the case of having no patience (`patience = 0`). 2025-12-04T08:54:21.1283488Z In the first epoch, a baseline is established and is always considered good as there's no previous baseline. 2025-12-04T08:54:21.1283798Z In the second epoch, if the performance is worse than the baseline, 2025-12-04T08:54:21.1283952Z we have what is considered an intolerable epoch. 2025-12-04T08:54:21.1284225Z Since the count of intolerable epochs (1) is greater than the patience level (0), 2025-12-04T08:54:21.1284406Z the learning rate is reduced at the end of this epoch. 2025-12-04T08:54:21.1284736Z From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch 2025-12-04T08:54:21.1285075Z if the performance is worse than the baseline. If the performance improves or remains the same, 2025-12-04T08:54:21.1285204Z the learning rate is not adjusted. 2025-12-04T08:54:21.1285297Z Default: 10. 2025-12-04T08:54:21.1285501Z threshold (float): Threshold for measuring the new optimum, 2025-12-04T08:54:21.1285666Z to only focus on significant changes. Default: 1e-4. 2025-12-04T08:54:21.1285840Z threshold_mode (str): One of `rel`, `abs`. In `rel` mode, 2025-12-04T08:54:21.1286013Z dynamic_threshold = best * ( 1 + threshold ) in 'max' 2025-12-04T08:54:21.1286157Z mode or best * ( 1 - threshold ) in `min` mode. 2025-12-04T08:54:21.1286327Z In `abs` mode, dynamic_threshold = best + threshold in 2025-12-04T08:54:21.1286508Z `max` mode or best - threshold in `min` mode. Default: 'rel'. 2025-12-04T08:54:21.1286680Z cooldown (int): Number of epochs to wait before resuming 2025-12-04T08:54:21.1286865Z normal operation after lr has been reduced. Default: 0. 2025-12-04T08:54:21.1287034Z min_lr (float or list): A scalar or a list of scalars. A 2025-12-04T08:54:21.1287193Z lower bound on the learning rate of all param groups 2025-12-04T08:54:21.1287341Z or each group respectively. Default: 0. 2025-12-04T08:54:21.1287524Z eps (float): Minimal decay applied to lr. If the difference 2025-12-04T08:54:21.1287711Z between new and old lr is smaller than eps, the update is 2025-12-04T08:54:21.1287818Z ignored. Default: 1e-8. 2025-12-04T08:54:21.1287901Z 2025-12-04T08:54:21.1288000Z Example: 2025-12-04T08:54:21.1288100Z >>> # xdoctest: +SKIP 2025-12-04T08:54:21.1288335Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9) 2025-12-04T08:54:21.1288503Z >>> scheduler = ReduceLROnPlateau(optimizer, "min") 2025-12-04T08:54:21.1288609Z >>> for epoch in range(10): 2025-12-04T08:54:21.1288701Z >>> train(...) 2025-12-04T08:54:21.1288874Z >>> val_loss = validate(...) 2025-12-04T08:54:21.1289030Z >>> # Note that step should be called after validate() 2025-12-04T08:54:21.1289150Z >>> scheduler.step(val_loss) 2025-12-04T08:54:21.1289232Z 2025-12-04T08:54:21.1289429Z .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png 2025-12-04T08:54:21.1289520Z 2025-12-04T08:54:21.1289946Z Original Error: IndentationError('unexpected indent', ('', 8, 4, ' scheduler.step(val_loss)\n', 8, -1)) 2025-12-04T08:54:21.1290028Z 2025-12-04T08:54:21.1290142Z scheduler.step(val_loss) 2025-12-04T08:54:21.1290223Z ^ 2025-12-04T08:54:21.1290321Z warnings.warn(msg) 2025-12-04T08:54:21.1290409Z 2025-12-04T08:54:21.1290529Z  2025-12-04T08:54:21.1290709Z === Found 10 run-time warnings === 2025-12-04T08:54:21.1290900Z --- Runtime Warning: 1 / 10 --- 2025-12-04T08:54:21.1291109Z example = 2025-12-04T08:54:21.1292645Z :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() 2025-12-04T08:54:21.1292791Z 2025-12-04T08:54:21.1292994Z --- Runtime Warning: 2 / 10 --- 2025-12-04T08:54:21.1293264Z example = 2025-12-04T08:54:21.1294664Z /opt/conda/envs/py_3.14/lib/python3.14/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:1976.) 2025-12-04T08:54:21.1294792Z return super().refine_names(names) 2025-12-04T08:54:21.1294870Z 2025-12-04T08:54:21.1295052Z --- Runtime Warning: 3 / 10 --- 2025-12-04T08:54:21.1295388Z example = 2025-12-04T08:54:21.1296042Z /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/library.py:275: UserWarning: Warning only once for all operators, other operators may also be overridden. 2025-12-04T08:54:21.1296373Z Overriding a previously registered kernel for the same operator and the same dispatch key 2025-12-04T08:54:21.1296578Z operator: aten::div.Tensor(Tensor self, Tensor other) -> Tensor 2025-12-04T08:54:21.1296878Z registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSchema.cpp:6 2025-12-04T08:54:21.1296993Z dispatch key: CPU 2025-12-04T08:54:21.1297440Z previous kernel: registered at /var/lib/jenkins/workspace/aten/src/ATen/LegacyBatchingRegistrations.cpp:1079 2025-12-04T08:54:21.1298485Z new kernel: registered at :1 (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/core/dispatch/OperatorEntry.cpp:215.) 2025-12-04T08:54:21.1298650Z impl_fn(self.ns, name.split("::")[-1], dispatch_key) 2025-12-04T08:54:21.1298849Z 2025-12-04T08:54:21.1299042Z --- Runtime Warning: 4 / 10 --- 2025-12-04T08:54:21.1299304Z example = 2025-12-04T08:54:21.1301286Z /opt/conda/envs/py_3.14/lib/python3.14/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:182.) 2025-12-04T08:54:21.1301856Z return torch._nested_tensor_from_tensor_list(ts, dtype, None, device, None) 2025-12-04T08:54:21.1301955Z 2025-12-04T08:54:21.1302154Z --- Runtime Warning: 5 / 10 --- 2025-12-04T08:54:21.1302429Z example = 2025-12-04T08:54:21.1304113Z :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:55.) 2025-12-04T08:54:21.1304212Z 2025-12-04T08:54:21.1304395Z --- Runtime Warning: 6 / 10 --- 2025-12-04T08:54:21.1304726Z example = 2025-12-04T08:54:21.1306302Z /opt/conda/envs/py_3.14/lib/python3.14/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 2025-12-04T08:54:21.1306618Z new_node = root_const_gm.graph.get_attr(in_node.target) 2025-12-04T08:54:21.1306701Z 2025-12-04T08:54:21.1306885Z --- Runtime Warning: 7 / 10 --- 2025-12-04T08:54:21.1307191Z example = 2025-12-04T08:54:21.1308332Z /opt/conda/envs/py_3.14/lib/python3.14/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) 2025-12-04T08:54:21.1308454Z self.encoder = TransformerEncoder( 2025-12-04T08:54:21.1308549Z 2025-12-04T08:54:21.1308735Z --- Runtime Warning: 8 / 10 --- 2025-12-04T08:54:21.1309081Z example = 2025-12-04T08:54:21.1310338Z :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) 2025-12-04T08:54:21.1310420Z 2025-12-04T08:54:21.1310615Z --- Runtime Warning: 9 / 10 --- 2025-12-04T08:54:21.1310900Z example = 2025-12-04T08:54:21.1311764Z /opt/conda/envs/py_3.14/lib/python3.14/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`. 2025-12-04T08:54:21.1311884Z WeightNorm.apply(module, name, dim) 2025-12-04T08:54:21.1311968Z 2025-12-04T08:54:21.1312167Z --- Runtime Warning: 10 / 10 --- 2025-12-04T08:54:21.1312482Z example = 2025-12-04T08:54:21.1313333Z /opt/conda/envs/py_3.14/lib/python3.14/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`. 2025-12-04T08:54:21.1313456Z WeightNorm.apply(module, name, dim) 2025-12-04T08:54:21.1313535Z 2025-12-04T08:54:21.1313846Z === 378 passed, 516 skipped, 27 warnings in 13.91 seconds === 2025-12-04T08:54:21.1314162Z Finished doctests 1/1 ... [2025-12-04 08:54:21.086701][1318.396532126], took 0.23min 2025-12-04T08:54:21.1314442Z Running dynamo/test_fake_distributed 1/1 ... [2025-12-04 08:54:21.087835][1318.397673688] 2025-12-04T08:54:21.1314569Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:54:21.1315687Z Executing ['/opt/conda/envs/py_3.14/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 08:54:21.088202] 2025-12-04T08:54:24.2374674Z 2025-12-04T08:54:24.2375851Z 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_d46684a0da04eba3_.log 2025-12-04T08:54:24.2376864Z Running 0 items in this shard: 2025-12-04T08:54:24.2377066Z 2025-12-04T08:54:24.2377404Z Finished dynamo/test_fake_distributed 1/1 ... [2025-12-04 08:54:24.237369][1321.547205651], took 0.05min 2025-12-04T08:54:24.2385125Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_fake_distributed/dynamo.test_fake_distributed-2eb2566c0181ed0e.xml 2025-12-04T08:54:24.3090426Z Running inductor/test_benchmark_fusion 1/1 ... [2025-12-04 08:54:24.308754][1321.618590976] 2025-12-04T08:54:24.3092567Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:54:24.3093914Z Executing ['/opt/conda/envs/py_3.14/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 08:54:24.309093] 2025-12-04T08:54:35.0996848Z 2025-12-04T08:54:35.0997949Z 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_edab126bfed306c9_.log 2025-12-04T08:54:35.0998929Z Running 0 items in this shard: 2025-12-04T08:54:35.0999144Z 2025-12-04T08:54:35.0999490Z Finished inductor/test_benchmark_fusion 1/1 ... [2025-12-04 08:54:35.099461][1332.409297411], took 0.18min 2025-12-04T08:54:35.1007482Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_benchmark_fusion/inductor.test_benchmark_fusion-fed452354b4a0df2.xml 2025-12-04T08:54:35.1771127Z Running inductor/test_cutlass_backend 1/1 ... [2025-12-04 08:54:35.176808][1332.486645118] 2025-12-04T08:54:35.1771694Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:54:35.1774517Z Executing ['/opt/conda/envs/py_3.14/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 08:54:35.177150] 2025-12-04T08:54:41.9038965Z 2025-12-04T08:54:41.9040225Z 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_659cce5aa9b7f67d_.log 2025-12-04T08:54:41.9041033Z 2025-12-04T08:54:41.9041378Z Finished inductor/test_cutlass_backend 1/1 ... [2025-12-04 08:54:41.903622][1339.2134596], took 0.11min 2025-12-04T08:54:41.9051014Z Running inductor/test_distributed_patterns 1/1 ... [2025-12-04 08:54:41.904911][1339.214750111] 2025-12-04T08:54:41.9051589Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:54:41.9055226Z Executing ['/opt/conda/envs/py_3.14/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 08:54:41.905271] 2025-12-04T08:54:48.8207735Z 2025-12-04T08:54:48.8209091Z 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_ff2484133b27dfaa_.log 2025-12-04T08:54:48.8210080Z Running 0 items in this shard: 2025-12-04T08:54:48.8210288Z 2025-12-04T08:54:48.8210660Z Finished inductor/test_distributed_patterns 1/1 ... [2025-12-04 08:54:48.820561][1346.130398731], took 0.12min 2025-12-04T08:54:48.8219161Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_distributed_patterns/inductor.test_distributed_patterns-7603c3179ef2a5f8.xml 2025-12-04T08:54:48.8861568Z Running inductor/test_flex_attention 1/5 ... [2025-12-04 08:54:48.885917][1346.195754845] 2025-12-04T08:54:48.8862123Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:54:48.8864860Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'inductor/test_flex_attention.py', '--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 08:54:48.886239] 2025-12-04T08:54:56.7249260Z 2025-12-04T08:54:56.7250343Z inductor/test_flex_attention 1/5 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_1.5_4591f40af30729f4_.log 2025-12-04T08:54:56.7251559Z Running 0 items in this shard: 2025-12-04T08:54:56.7251773Z 2025-12-04T08:54:56.7252113Z Finished inductor/test_flex_attention 1/5 ... [2025-12-04 08:54:56.724721][1354.034559248], took 0.13min 2025-12-04T08:54:56.7262278Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-166a845d47d4dba3.xml 2025-12-04T08:54:56.7888892Z Running inductor/test_flex_attention 2/5 ... [2025-12-04 08:54:56.788601][1354.098438593] 2025-12-04T08:54:56.7891205Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:54:56.7892579Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=2', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 08:54:56.788921] 2025-12-04T08:55:04.7100057Z 2025-12-04T08:55:04.7101141Z inductor/test_flex_attention 2/5 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_2.5_27c73cf83e53198a_.log 2025-12-04T08:55:04.7102319Z Running 0 items in this shard: 2025-12-04T08:55:04.7102537Z 2025-12-04T08:55:04.7102879Z Finished inductor/test_flex_attention 2/5 ... [2025-12-04 08:55:04.709798][1362.019636208], took 0.13min 2025-12-04T08:55:04.7114494Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-3a96bc1b5cb4508f.xml 2025-12-04T08:55:04.7677441Z Running inductor/test_flex_attention 3/5 ... [2025-12-04 08:55:04.767439][1362.077276705] 2025-12-04T08:55:04.7677979Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:55:04.7680943Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'inductor/test_flex_attention.py', '--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 08:55:04.767793] 2025-12-04T08:55:12.6355696Z 2025-12-04T08:55:12.6356711Z inductor/test_flex_attention 3/5 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_3.5_cd6a8bab31f29661_.log 2025-12-04T08:55:12.6357633Z Running 0 items in this shard: 2025-12-04T08:55:12.6357838Z 2025-12-04T08:55:12.6358188Z Finished inductor/test_flex_attention 3/5 ... [2025-12-04 08:55:12.635337][1369.945170506], took 0.13min 2025-12-04T08:55:12.6370316Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-3c5b661e2aa48646.xml 2025-12-04T08:55:12.6977553Z Running inductor/test_flex_attention 4/5 ... [2025-12-04 08:55:12.697384][1370.007222095] 2025-12-04T08:55:12.6978145Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:55:12.6980617Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=4', '--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 08:55:12.697736] 2025-12-04T08:55:20.6064169Z 2025-12-04T08:55:20.6065194Z inductor/test_flex_attention 4/5 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_4.5_5ce40dffb2bcb1eb_.log 2025-12-04T08:55:20.6066117Z Running 0 items in this shard: 2025-12-04T08:55:20.6066314Z 2025-12-04T08:55:20.6066669Z Finished inductor/test_flex_attention 4/5 ... [2025-12-04 08:55:20.606197][1377.916035615], took 0.13min 2025-12-04T08:55:20.6079459Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-2005a4b18a435640.xml 2025-12-04T08:55:20.6851006Z Running inductor/test_flex_attention 5/5 ... [2025-12-04 08:55:20.684784][1377.994621529] 2025-12-04T08:55:20.6851870Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:55:20.6853793Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'inductor/test_flex_attention.py', '--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 08:55:20.685110] 2025-12-04T08:55:28.5623241Z 2025-12-04T08:55:28.5624336Z inductor/test_flex_attention 5/5 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_5.5_1f282190810ac40c_.log 2025-12-04T08:55:28.5625243Z Running 0 items in this shard: 2025-12-04T08:55:28.5625459Z 2025-12-04T08:55:28.5625830Z Finished inductor/test_flex_attention 5/5 ... [2025-12-04 08:55:28.562141][1385.871979678], took 0.13min 2025-12-04T08:55:28.5639858Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-4c07ac7bb34a5a86.xml 2025-12-04T08:55:28.6365260Z Running inductor/test_max_autotune 1/1 ... [2025-12-04 08:55:28.636201][1385.946039354] 2025-12-04T08:55:28.6365896Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:55:28.6368690Z Executing ['/opt/conda/envs/py_3.14/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 08:55:28.636529] 2025-12-04T08:55:35.4779308Z 2025-12-04T08:55:35.4780748Z 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_a487183645a576fd_.log 2025-12-04T08:55:35.4781543Z 2025-12-04T08:55:35.4781876Z Finished inductor/test_max_autotune 1/1 ... [2025-12-04 08:55:35.477623][1392.787459278], took 0.11min 2025-12-04T08:55:35.4796864Z Running nn/test_convolution 1/1 ... [2025-12-04 08:55:35.479469][1392.789308016] 2025-12-04T08:55:35.4797574Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:55:35.4800717Z Executing ['/opt/conda/envs/py_3.14/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 08:55:35.479794] 2025-12-04T08:55:39.9277700Z 2025-12-04T08:55:39.9278960Z nn/test_convolution 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_convolution_1.1_e337aa94b33830df_.log 2025-12-04T08:55:39.9279799Z Running 0 items in this shard: 2025-12-04T08:55:39.9280003Z 2025-12-04T08:55:39.9280596Z Finished nn/test_convolution 1/1 ... [2025-12-04 08:55:39.927541][1397.237378552], took 0.07min 2025-12-04T08:55:39.9295429Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_convolution/nn.test_convolution-1c1c87ef31c6c29c.xml 2025-12-04T08:55:40.0026379Z Running nn/test_pooling 1/1 ... [2025-12-04 08:55:40.002304][1397.312141704] 2025-12-04T08:55:40.0027170Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:55:40.0029763Z Executing ['/opt/conda/envs/py_3.14/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 08:55:40.002630] 2025-12-04T08:55:43.1138807Z 2025-12-04T08:55:43.1140086Z nn/test_pooling 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pooling_1.1_574a6c5beeed3076_.log 2025-12-04T08:55:43.1140902Z Running 0 items in this shard: 2025-12-04T08:55:43.1141102Z 2025-12-04T08:55:43.1141371Z Finished nn/test_pooling 1/1 ... [2025-12-04 08:55:43.113676][1400.423513595], took 0.05min 2025-12-04T08:55:43.1157920Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_pooling/nn.test_pooling-a39954c59fed8894.xml 2025-12-04T08:55:43.1413405Z Running test_autocast 1/1 ... [2025-12-04 08:55:43.141055][1400.450893566] 2025-12-04T08:55:43.1414168Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:55:43.1416511Z Executing ['/opt/conda/envs/py_3.14/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 08:55:43.141364] 2025-12-04T08:55:46.0994470Z 2025-12-04T08:55:46.0995655Z test_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autocast_1.1_a7a3e697f173ff9c_.log 2025-12-04T08:55:46.0996430Z Running 0 items in this shard: 2025-12-04T08:55:46.0996631Z 2025-12-04T08:55:46.0996890Z Finished test_autocast 1/1 ... [2025-12-04 08:55:46.099237][1403.40907421], took 0.05min 2025-12-04T08:55:46.1015106Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_autocast/test_autocast-5f71398998b5d8ad.xml 2025-12-04T08:55:46.1246058Z Running test_autograd_fallback 1/1 ... [2025-12-04 08:55:46.124366][1403.434205331] 2025-12-04T08:55:46.1246789Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:55:46.1249591Z Executing ['/opt/conda/envs/py_3.14/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 08:55:46.124669] 2025-12-04T08:55:49.0781775Z 2025-12-04T08:55:49.0782856Z test_autograd_fallback 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autograd_fallback_1.1_8083401ca072d890_.log 2025-12-04T08:55:49.0783935Z Running 0 items in this shard: 2025-12-04T08:55:49.0784174Z 2025-12-04T08:55:49.0784794Z Finished test_autograd_fallback 1/1 ... [2025-12-04 08:55:49.077968][1406.387805857], took 0.05min 2025-12-04T08:55:49.0803253Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_autograd_fallback/test_autograd_fallback-0580a415abb17c09.xml 2025-12-04T08:55:49.1022745Z Running test_autoload_disable 1/1 ... [2025-12-04 08:55:49.102050][1406.411889251] 2025-12-04T08:55:49.4270889Z Processing /var/lib/jenkins/workspace/test/cpp_extensions 2025-12-04T08:55:52.3304965Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T08:55:52.3330679Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension 2025-12-04T08:56:02.2207362Z Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ done 2025-12-04T08:56:02.2483628Z [?25h Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp314-cp314-linux_x86_64.whl size=10130069 sha256=a2901871ace0245d78c63ff5a08340cb34f512059f76cd648557555061064af8 2025-12-04T08:56:02.2485103Z Stored in directory: /tmp/pip-ephem-wheel-cache-qvfxoit6/wheels/54/78/52/3117610f17950b60c426425384e6002dd0eb7dd08640e4b782 2025-12-04T08:56:02.2509696Z Successfully built torch_test_cpp_extension 2025-12-04T08:56:02.4107144Z Installing collected packages: torch_test_cpp_extension 2025-12-04T08:56:02.5867393Z Successfully installed torch_test_cpp_extension-0.0.0 2025-12-04T08:56:04.8494957Z 2025-12-04T08:56:04.8495394Z Running tests... 2025-12-04T08:56:04.8495798Z ---------------------------------------------------------------------- 2025-12-04T08:56:04.8607369Z . 2025-12-04T08:56:04.8607730Z ---------------------------------------------------------------------- 2025-12-04T08:56:04.8608159Z Ran 1 test in 0.011s 2025-12-04T08:56:04.8608338Z 2025-12-04T08:56:04.8608425Z OK 2025-12-04T08:56:04.8608536Z 2025-12-04T08:56:04.8608661Z Generating XML reports... 2025-12-04T08:56:05.5180332Z Finished test_autoload_disable 1/1 ... [2025-12-04 08:56:05.517644][1422.827476456], took 0.27min 2025-12-04T08:56:05.5202253Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204085604.xml 2025-12-04T08:56:05.5951804Z Running test_autoload_enable 1/1 ... [2025-12-04 08:56:05.594845][1422.904682469] 2025-12-04T08:56:05.9285830Z Processing /var/lib/jenkins/workspace/test/cpp_extensions 2025-12-04T08:56:08.8309778Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T08:56:08.8335519Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension 2025-12-04T08:56:18.7648602Z Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ done 2025-12-04T08:56:18.7918947Z [?25h Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp314-cp314-linux_x86_64.whl size=10130069 sha256=7634cd27b032d47dd8d0ccaf3c4ff6728efab84ce850a8b4f9939c7ea6c9e35d 2025-12-04T08:56:18.7920423Z Stored in directory: /tmp/pip-ephem-wheel-cache-gjii1a84/wheels/54/78/52/3117610f17950b60c426425384e6002dd0eb7dd08640e4b782 2025-12-04T08:56:18.7940047Z Successfully built torch_test_cpp_extension 2025-12-04T08:56:18.9506615Z Installing collected packages: torch_test_cpp_extension 2025-12-04T08:56:19.1284356Z Successfully installed torch_test_cpp_extension-0.0.0 2025-12-04T08:56:21.3867677Z 2025-12-04T08:56:21.3868305Z Running tests... 2025-12-04T08:56:21.3868721Z ---------------------------------------------------------------------- 2025-12-04T08:56:21.3978722Z . 2025-12-04T08:56:21.3979088Z ---------------------------------------------------------------------- 2025-12-04T08:56:21.3979492Z Ran 1 test in 0.011s 2025-12-04T08:56:21.3979689Z 2025-12-04T08:56:21.3979789Z OK 2025-12-04T08:56:21.3979901Z 2025-12-04T08:56:21.3980015Z Generating XML reports... 2025-12-04T08:56:22.0530326Z Finished test_autoload_enable 1/1 ... [2025-12-04 08:56:22.052654][1439.362485046], took 0.27min 2025-12-04T08:56:22.0553459Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204085621.xml 2025-12-04T08:56:22.1349938Z Running test_ci_sanity_check_fail 1/1 ... [2025-12-04 08:56:22.134639][1439.444476388] 2025-12-04T08:56:22.1350481Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:56:22.1353156Z Executing ['/opt/conda/envs/py_3.14/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 08:56:22.135004] 2025-12-04T08:56:25.0592770Z Finished test_ci_sanity_check_fail 1/1 ... [2025-12-04 08:56:25.058863][1442.368695342], took 0.05min 2025-12-04T08:56:25.0615702Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ci_sanity_check_fail/test_ci_sanity_check_fail-b65fd52631cb6d05.xml 2025-12-04T08:56:25.2686804Z Uploading logs for 57115580578 to S3 2025-12-04T08:56:25.2979360Z Uploading artifacts took 0.21 seconds 2025-12-04T08:56:25.2979724Z test_ci_sanity_check_fail 1/1 failed! 2025-12-04T08:56:25.2982103Z Running test_cpp_api_parity 1/1 ... [2025-12-04 08:56:25.298000][1442.607837328] 2025-12-04T08:56:25.2982607Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:56:25.2986538Z Executing ['/opt/conda/envs/py_3.14/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 08:56:25.298371] 2025-12-04T08:56:32.5426029Z 2025-12-04T08:56:32.5427005Z 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_edb71cd7e00808ab_.log 2025-12-04T08:56:32.5428258Z Running 0 items in this shard: 2025-12-04T08:56:32.5428457Z 2025-12-04T08:56:32.5428740Z Finished test_cpp_api_parity 1/1 ... [2025-12-04 08:56:32.542394][1449.852231564], took 0.12min 2025-12-04T08:56:32.5450825Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_api_parity/test_cpp_api_parity-ebd106cdedd25ee0.xml 2025-12-04T08:56:32.6199822Z Running test_cpp_extensions_aot_ninja 1/1 ... [2025-12-04 08:56:32.619629][1449.92946484] 2025-12-04T08:56:32.9929195Z Processing /var/lib/jenkins/workspace/test/cpp_extensions 2025-12-04T08:56:35.9497001Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T08:56:35.9523407Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension 2025-12-04T08:56:43.1486083Z Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ done 2025-12-04T08:56:43.1585665Z [?25h Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp314-cp314-linux_x86_64.whl size=3224930 sha256=bbfb484dba662c1cf86e67d92b9f2a072209d2af4ca95528b4ffd20830b50207 2025-12-04T08:56:43.1587128Z Stored in directory: /tmp/pip-ephem-wheel-cache-lu91xfod/wheels/54/78/52/3117610f17950b60c426425384e6002dd0eb7dd08640e4b782 2025-12-04T08:56:43.1608605Z Successfully built torch_test_cpp_extension 2025-12-04T08:56:43.3178621Z Installing collected packages: torch_test_cpp_extension 2025-12-04T08:56:43.3946465Z Successfully installed torch_test_cpp_extension-0.0.0 2025-12-04T08:56:43.7938851Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test 2025-12-04T08:56:45.4837493Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T08:56:45.4864181Z [?25hBuilding wheels for collected packages: no_python_abi_suffix_test 2025-12-04T08:56:47.5038888Z Building wheel for no_python_abi_suffix_test (pyproject.toml) ... [?25l- \ | done 2025-12-04T08:56:47.5046826Z [?25h Created wheel for no_python_abi_suffix_test: filename=no_python_abi_suffix_test-0.0.0-cp314-cp314-linux_x86_64.whl size=2967 sha256=63d7ad7024ee021bdd3be54aca0f464bfcd9779b5adc63d266a50aa197d70e8f 2025-12-04T08:56:47.5048275Z Stored in directory: /tmp/pip-ephem-wheel-cache-nm_z0omf/wheels/82/6c/52/5a0d6507470d8e3a015c6b1af4cf42c6953d0bd7727d8a52d6 2025-12-04T08:56:47.5072345Z Successfully built no_python_abi_suffix_test 2025-12-04T08:56:47.6655101Z Installing collected packages: no_python_abi_suffix_test 2025-12-04T08:56:47.6763558Z Successfully installed no_python_abi_suffix_test-0.0.0 2025-12-04T08:56:47.7561018Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:56:47.7564984Z Executing ['/opt/conda/envs/py_3.14/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 08:56:47.756152] 2025-12-04T08:56:50.7054396Z 2025-12-04T08:56:50.7055593Z 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_1e54012a2ed65358_.log 2025-12-04T08:56:50.7057516Z Running 0 items in this shard: 2025-12-04T08:56:50.7057871Z 2025-12-04T08:56:50.7058227Z Finished test_cpp_extensions_aot_ninja 1/1 ... [2025-12-04 08:56:50.705336][1468.015172581], took 0.30min 2025-12-04T08:56:50.7080863Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_aot_ninja/test_cpp_extensions_aot_ninja-ad3b19c6da148d5d.xml 2025-12-04T08:56:50.7741889Z Running test_cpp_extensions_aot_no_ninja 1/1 ... [2025-12-04 08:56:50.773816][1468.083654164] 2025-12-04T08:56:51.1058113Z Processing /var/lib/jenkins/workspace/test/cpp_extensions 2025-12-04T08:56:54.0096164Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T08:56:54.0122431Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension 2025-12-04T08:57:03.8470848Z Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ done 2025-12-04T08:57:03.8739180Z [?25h Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp314-cp314-linux_x86_64.whl size=10130069 sha256=94ce45bec8af5f204f1ac00027bc0dbde8421a19ff913c7091c79bc64a80c4a8 2025-12-04T08:57:03.8740634Z Stored in directory: /tmp/pip-ephem-wheel-cache-tqyw049k/wheels/54/78/52/3117610f17950b60c426425384e6002dd0eb7dd08640e4b782 2025-12-04T08:57:03.8760746Z Successfully built torch_test_cpp_extension 2025-12-04T08:57:04.0328170Z Installing collected packages: torch_test_cpp_extension 2025-12-04T08:57:04.2144406Z Successfully installed torch_test_cpp_extension-0.0.0 2025-12-04T08:57:04.6484892Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test 2025-12-04T08:57:06.3408947Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T08:57:06.3434371Z [?25hBuilding wheels for collected packages: no_python_abi_suffix_test 2025-12-04T08:57:08.2312490Z Building wheel for no_python_abi_suffix_test (pyproject.toml) ... [?25l- \ | done 2025-12-04T08:57:08.2320023Z [?25h Created wheel for no_python_abi_suffix_test: filename=no_python_abi_suffix_test-0.0.0-cp314-cp314-linux_x86_64.whl size=2967 sha256=0f75d95a3a15ffef932f1a2693e662ced2bd7bf1435d420fc50f64c09e024b02 2025-12-04T08:57:08.2322375Z Stored in directory: /tmp/pip-ephem-wheel-cache-hbhg7_82/wheels/82/6c/52/5a0d6507470d8e3a015c6b1af4cf42c6953d0bd7727d8a52d6 2025-12-04T08:57:08.2341126Z Successfully built no_python_abi_suffix_test 2025-12-04T08:57:08.3908293Z Installing collected packages: no_python_abi_suffix_test 2025-12-04T08:57:08.4036576Z Successfully installed no_python_abi_suffix_test-0.0.0 2025-12-04T08:57:08.4775158Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:57:08.4779191Z Executing ['/opt/conda/envs/py_3.14/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 08:57:08.477587] 2025-12-04T08:57:11.4241411Z 2025-12-04T08:57:11.4242533Z 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_eca6e1d676ebc016_.log 2025-12-04T08:57:11.4243459Z Running 0 items in this shard: 2025-12-04T08:57:11.4243659Z 2025-12-04T08:57:11.4244016Z Finished test_cpp_extensions_aot_no_ninja 1/1 ... [2025-12-04 08:57:11.424016][1488.733851981], took 0.34min 2025-12-04T08:57:11.4268845Z 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-d85cc83a00d3f55c.xml 2025-12-04T08:57:11.4994242Z Running test_cpp_extensions_jit 1/1 ... [2025-12-04 08:57:11.499108][1488.808946448] 2025-12-04T08:57:11.4994768Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:57:11.4997427Z Executing ['/opt/conda/envs/py_3.14/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 08:57:11.499434] 2025-12-04T08:57:14.4981265Z 2025-12-04T08:57:14.4982249Z 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_8b6e9e7a7f66ad15_.log 2025-12-04T08:57:14.4983100Z Running 0 items in this shard: 2025-12-04T08:57:14.4983326Z 2025-12-04T08:57:14.4983628Z Finished test_cpp_extensions_jit 1/1 ... [2025-12-04 08:57:14.497910][1491.807748182], took 0.05min 2025-12-04T08:57:14.5009858Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_jit/test_cpp_extensions_jit-b35ae35ecc541a05.xml 2025-12-04T08:57:14.5286477Z Running test_cpp_extensions_mtia_backend 1/1 ... [2025-12-04 08:57:14.528337][1491.838175248] 2025-12-04T08:57:14.5287340Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:57:14.5289246Z Executing ['/opt/conda/envs/py_3.14/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 08:57:14.528660] 2025-12-04T08:57:17.5156195Z 2025-12-04T08:57:17.5157141Z 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_67e9dfd377df05d8_.log 2025-12-04T08:57:17.5158080Z Running 0 items in this shard: 2025-12-04T08:57:17.5158312Z 2025-12-04T08:57:17.5158660Z Finished test_cpp_extensions_mtia_backend 1/1 ... [2025-12-04 08:57:17.515393][1494.825231145], took 0.05min 2025-12-04T08:57:17.5185362Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_mtia_backend/test_cpp_extensions_mtia_backend-1c976b4a5b8b496e.xml 2025-12-04T08:57:17.5412770Z Running test_cpp_extensions_stream_and_event 1/1 ... [2025-12-04 08:57:17.541010][1494.850847459] 2025-12-04T08:57:17.5413345Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:57:17.5416759Z Executing ['/opt/conda/envs/py_3.14/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 08:57:17.541372] 2025-12-04T08:57:20.4555884Z 2025-12-04T08:57:20.4557022Z 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_fb6de30b306a2971_.log 2025-12-04T08:57:20.4557994Z Running 0 items in this shard: 2025-12-04T08:57:20.4558225Z 2025-12-04T08:57:20.4558586Z Finished test_cpp_extensions_stream_and_event 1/1 ... [2025-12-04 08:57:20.455392][1497.765228554], took 0.05min 2025-12-04T08:57:20.4587021Z 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-2a38e7242be576cf.xml 2025-12-04T08:57:20.4880803Z Running test_cuda_nvml_based_avail 1/1 ... [2025-12-04 08:57:20.487840][1497.797678397] 2025-12-04T08:57:20.4881318Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:57:20.4885132Z Executing ['/opt/conda/envs/py_3.14/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 08:57:20.488192] 2025-12-04T08:57:23.3833472Z 2025-12-04T08:57:23.3834472Z 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_2910cd1dd8755d09_.log 2025-12-04T08:57:23.3835380Z Running 0 items in this shard: 2025-12-04T08:57:23.3835581Z 2025-12-04T08:57:23.3835909Z Finished test_cuda_nvml_based_avail 1/1 ... [2025-12-04 08:57:23.383159][1500.692997118], took 0.05min 2025-12-04T08:57:23.3867739Z Running test_cuda_primary_ctx 1/1 ... [2025-12-04 08:57:23.386564][1500.6964019] 2025-12-04T08:57:23.3868217Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:57:23.3872136Z Executing ['/opt/conda/envs/py_3.14/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 08:57:23.386934] 2025-12-04T08:57:26.2961046Z 2025-12-04T08:57:26.2962189Z 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_61768042a46b105f_.log 2025-12-04T08:57:26.2963318Z Running 0 items in this shard: 2025-12-04T08:57:26.2963535Z 2025-12-04T08:57:26.2963831Z Finished test_cuda_primary_ctx 1/1 ... [2025-12-04 08:57:26.295857][1503.605690482], took 0.05min 2025-12-04T08:57:26.2995000Z Running test_cuda_trace 1/1 ... [2025-12-04 08:57:26.299270][1503.609109112] 2025-12-04T08:57:26.2995479Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:57:26.2998982Z Executing ['/opt/conda/envs/py_3.14/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 08:57:26.299630] 2025-12-04T08:57:29.1959133Z 2025-12-04T08:57:29.1960223Z test_cuda_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_trace_1.1_62d3a721660e59c2_.log 2025-12-04T08:57:29.1961066Z Running 0 items in this shard: 2025-12-04T08:57:29.1961284Z 2025-12-04T08:57:29.1961552Z Finished test_cuda_trace 1/1 ... [2025-12-04 08:57:29.195708][1506.505544722], took 0.05min 2025-12-04T08:57:29.1993341Z Running test_dispatch 1/1 ... [2025-12-04 08:57:29.199097][1506.508936346] 2025-12-04T08:57:29.1993799Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:57:29.1997087Z Executing ['/opt/conda/envs/py_3.14/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 08:57:29.199446] 2025-12-04T08:57:32.2059222Z 2025-12-04T08:57:32.2060158Z test_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dispatch_1.1_4afbefa81852cc54_.log 2025-12-04T08:57:32.2067705Z Running 0 items in this shard: 2025-12-04T08:57:32.2067985Z 2025-12-04T08:57:32.2068290Z Finished test_dispatch 1/1 ... [2025-12-04 08:57:32.205687][1509.515523999], took 0.05min 2025-12-04T08:57:32.2090955Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dispatch/test_dispatch-e093ecf6d37bbc1c.xml 2025-12-04T08:57:32.2720996Z Running test_extension_utils 1/1 ... [2025-12-04 08:57:32.271745][1509.581582189] 2025-12-04T08:57:32.2721512Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:57:32.2724267Z Executing ['/opt/conda/envs/py_3.14/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 08:57:32.272146] 2025-12-04T08:57:35.2048597Z 2025-12-04T08:57:35.2049556Z test_extension_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_extension_utils_1.1_bbfcde96ca5d588f_.log 2025-12-04T08:57:35.2050410Z Running 0 items in this shard: 2025-12-04T08:57:35.2050610Z 2025-12-04T08:57:35.2050916Z Finished test_extension_utils 1/1 ... [2025-12-04 08:57:35.204602][1512.514438874], took 0.05min 2025-12-04T08:57:35.2081352Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_extension_utils/test_extension_utils-3ede6965ed51fcc0.xml 2025-12-04T08:57:35.2316486Z Running test_fake_tensor 1/1 ... [2025-12-04 08:57:35.231355][1512.541192815] 2025-12-04T08:57:35.2316969Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:57:35.2319373Z Executing ['/opt/conda/envs/py_3.14/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 08:57:35.231676] 2025-12-04T08:57:43.3246243Z 2025-12-04T08:57:43.3247167Z test_fake_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fake_tensor_1.1_7ee8af7711dc85fd_.log 2025-12-04T08:57:43.3264524Z 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 2025-12-04T08:57:43.3281049Z 2025-12-04T08:57:43.3281325Z Finished test_fake_tensor 1/1 ... [2025-12-04 08:57:43.324452][1520.634290107], took 0.13min 2025-12-04T08:57:43.3282369Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fake_tensor/test_fake_tensor-d312f707a7f0652d.xml 2025-12-04T08:57:43.3958875Z Running test_fx 1/1 ... [2025-12-04 08:57:43.395494][1520.705331816] 2025-12-04T08:57:43.3959330Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T08:57:43.3961124Z Executing ['/opt/conda/envs/py_3.14/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 08:57:43.395844] 2025-12-04T09:00:46.1058239Z 2025-12-04T09:00:46.1061123Z test_fx 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_1.1_4a3dbfd6f0696bbd_.log 2025-12-04T09:00:46.1088349Z 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 2025-12-04T09:00:46.1115743Z 2025-12-04T09:00:46.1115978Z Finished test_fx 1/1 ... [2025-12-04 09:00:46.105685][1703.415518126], took 3.05min 2025-12-04T09:00:46.1116902Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fx/test_fx-3f9926bb5d0c7512.xml 2025-12-04T09:00:46.1961277Z Running test_jit_disabled 1/1 ... [2025-12-04 09:00:46.195772][1703.505609172] 2025-12-04T09:00:46.1961793Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:00:46.1964589Z Executing ['/opt/conda/envs/py_3.14/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 09:00:46.196129] 2025-12-04T09:00:49.1401105Z 2025-12-04T09:00:49.1402471Z test_jit_disabled 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_disabled_1.1_54043a712a40c0d1_.log 2025-12-04T09:00:49.1403163Z 2025-12-04T09:00:49.1403449Z Finished test_jit_disabled 1/1 ... [2025-12-04 09:00:49.139829][1706.449664215], took 0.05min 2025-12-04T09:00:49.1440008Z Running test_mobile_optimizer 1/1 ... [2025-12-04 09:00:49.143736][1706.453573891] 2025-12-04T09:00:49.1440518Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:00:49.1443575Z Executing ['/opt/conda/envs/py_3.14/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 09:00:49.144072] 2025-12-04T09:00:52.4947058Z 2025-12-04T09:00:52.4948010Z test_mobile_optimizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mobile_optimizer_1.1_a555b2369bca6914_.log 2025-12-04T09:00:52.4983172Z 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 2025-12-04T09:00:52.5018140Z 2025-12-04T09:00:52.5018452Z Finished test_mobile_optimizer 1/1 ... [2025-12-04 09:00:52.494567][1709.80440533], took 0.06min 2025-12-04T09:00:52.5019640Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_mobile_optimizer/test_mobile_optimizer-6a6fdc9890a781d3.xml 2025-12-04T09:00:52.5876401Z Running test_multiprocessing 1/1 ... [2025-12-04 09:00:52.587196][1709.897032409] 2025-12-04T09:00:52.5876907Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:00:52.5878219Z Executing ['/opt/conda/envs/py_3.14/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 09:00:52.587532] 2025-12-04T09:05:49.3502156Z 2025-12-04T09:05:49.3503181Z test_multiprocessing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_1.1_89888045a389f082_.log 2025-12-04T09:05:49.3537981Z 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 2025-12-04T09:05:49.3572121Z 2025-12-04T09:05:49.3572433Z Finished test_multiprocessing 1/1 ... [2025-12-04 09:05:49.350068][2006.659905882], took 4.95min 2025-12-04T09:05:49.3573557Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_multiprocessing/test_multiprocessing-accb11162d975689.xml 2025-12-04T09:05:49.4327152Z Running test_multiprocessing_spawn 1/1 ... [2025-12-04 09:05:49.432394][2006.742232596] 2025-12-04T09:05:49.4327701Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:05:49.4330329Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_multiprocessing_spawn.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:05:49.432725] 2025-12-04T09:05:57.4168779Z 2025-12-04T09:05:57.4169633Z test_multiprocessing_spawn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_spawn_1.1_96cfa2aa2f28c142_.log 2025-12-04T09:05:57.4170552Z Running 0 items in this shard: 2025-12-04T09:05:57.4170756Z 2025-12-04T09:05:57.4171093Z Finished test_multiprocessing_spawn 1/1 ... [2025-12-04 09:05:57.416679][2014.726517213], took 0.13min 2025-12-04T09:05:57.4207704Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_multiprocessing_spawn/test_multiprocessing_spawn-11e459eb351b821a.xml 2025-12-04T09:05:57.4674521Z Running test_namedtuple_return_api 1/1 ... [2025-12-04 09:05:57.467211][2014.777049997] 2025-12-04T09:05:57.4675053Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:05:57.4678001Z Executing ['/opt/conda/envs/py_3.14/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 09:05:57.467520] 2025-12-04T09:06:00.4088166Z 2025-12-04T09:06:00.4089405Z 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_85fd06d1ebd34e82_.log 2025-12-04T09:06:00.4090296Z Running 0 items in this shard: 2025-12-04T09:06:00.4090503Z 2025-12-04T09:06:00.4090839Z Finished test_namedtuple_return_api 1/1 ... [2025-12-04 09:06:00.408588][2017.718426188], took 0.05min 2025-12-04T09:06:00.4128770Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_namedtuple_return_api/test_namedtuple_return_api-d70189adf884ddca.xml 2025-12-04T09:06:00.4369966Z Running test_native_mha 1/1 ... [2025-12-04 09:06:00.436690][2017.746529392] 2025-12-04T09:06:00.4370606Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:06:00.4372454Z Executing ['/opt/conda/envs/py_3.14/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 09:06:00.437003] 2025-12-04T09:06:03.4248667Z 2025-12-04T09:06:03.4249831Z test_native_mha 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_mha_1.1_62b122eea3dcb273_.log 2025-12-04T09:06:03.4250624Z Running 0 items in this shard: 2025-12-04T09:06:03.4250844Z 2025-12-04T09:06:03.4251109Z Finished test_native_mha 1/1 ... [2025-12-04 09:06:03.424618][2020.734456203], took 0.05min 2025-12-04T09:06:03.4288801Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_native_mha/test_native_mha-946412a67c2a7e0d.xml 2025-12-04T09:06:03.4560396Z Running test_nn 1/1 ... [2025-12-04 09:06:03.455768][2020.765606226] 2025-12-04T09:06:03.4560824Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:06:03.4563359Z Executing ['/opt/conda/envs/py_3.14/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 09:06:03.456089] 2025-12-04T09:06:10.7763427Z 2025-12-04T09:06:10.7764239Z test_nn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_nn_1.1_7b6fd049bb18f160_.log 2025-12-04T09:06:10.7764960Z Running 0 items in this shard: 2025-12-04T09:06:10.7765171Z 2025-12-04T09:06:10.7765401Z Finished test_nn 1/1 ... [2025-12-04 09:06:10.776080][2028.085918494], took 0.12min 2025-12-04T09:06:10.7805395Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_nn/test_nn-9bcb9ec17a70a72d.xml 2025-12-04T09:06:10.8538350Z Running test_overrides 1/1 ... [2025-12-04 09:06:10.853385][2028.163222266] 2025-12-04T09:06:10.8538938Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:06:10.8540874Z Executing ['/opt/conda/envs/py_3.14/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 09:06:10.853753] 2025-12-04T09:06:16.6435446Z 2025-12-04T09:06:16.6436425Z test_overrides 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_overrides_1.1_a76b6ca72dde202f_.log 2025-12-04T09:06:16.6519768Z 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_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 2025-12-04T09:06:16.6600374Z 2025-12-04T09:06:16.6600644Z Finished test_overrides 1/1 ... [2025-12-04 09:06:16.643755][2033.953591313], took 0.10min 2025-12-04T09:06:16.6601919Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_overrides/test_overrides-2fd551b50c763c1b.xml 2025-12-04T09:06:16.6905679Z Running test_privateuseone_python_backend 1/1 ... [2025-12-04 09:06:16.690290][2034.000128234] 2025-12-04T09:06:16.6906267Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:06:16.6908854Z Executing ['/opt/conda/envs/py_3.14/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 09:06:16.690612] 2025-12-04T09:06:19.6682567Z 2025-12-04T09:06:19.6683661Z 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_ef60fa5d288ba973_.log 2025-12-04T09:06:19.6684631Z Running 0 items in this shard: 2025-12-04T09:06:19.6684836Z 2025-12-04T09:06:19.6685216Z Finished test_privateuseone_python_backend 1/1 ... [2025-12-04 09:06:19.668039][2036.977877451], took 0.05min 2025-12-04T09:06:19.6727451Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_privateuseone_python_backend/test_privateuseone_python_backend-1d700fd456d62839.xml 2025-12-04T09:06:19.6971322Z Running test_python_dispatch 1/1 ... [2025-12-04 09:06:19.696799][2037.006637597] 2025-12-04T09:06:19.6971842Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:06:19.6973914Z Executing ['/opt/conda/envs/py_3.14/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 09:06:19.697125] 2025-12-04T09:06:23.9360648Z 2025-12-04T09:06:23.9361608Z test_python_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_python_dispatch_1.1_d44dd6a7c2179f43_.log 2025-12-04T09:06:23.9362446Z Running 0 items in this shard: 2025-12-04T09:06:23.9362647Z 2025-12-04T09:06:23.9362952Z Finished test_python_dispatch 1/1 ... [2025-12-04 09:06:23.935877][2041.245714283], took 0.07min 2025-12-04T09:06:23.9407206Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_python_dispatch/test_python_dispatch-7e5b42b7fb5d9024.xml 2025-12-04T09:06:23.9656764Z Running test_reductions 1/1 ... [2025-12-04 09:06:23.965389][2041.275226955] 2025-12-04T09:06:23.9657274Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:06:23.9660262Z Executing ['/opt/conda/envs/py_3.14/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 09:06:23.965732] 2025-12-04T09:06:35.4747016Z 2025-12-04T09:06:35.4748144Z test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_reductions_1.1_e139a137a7868921_.log 2025-12-04T09:06:35.4763950Z Running 50 items in this shard: test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64 2025-12-04T09:06:35.4779325Z 2025-12-04T09:06:35.4779598Z Finished test_reductions 1/1 ... [2025-12-04 09:06:35.474494][2052.784331135], took 0.19min 2025-12-04T09:06:35.4794243Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_reductions/test_reductions-c2afeab35265dbb1.xml 2025-12-04T09:06:35.5642562Z Running test_show_pickle 1/1 ... [2025-12-04 09:06:35.563911][2052.873748792] 2025-12-04T09:06:35.5643055Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:06:35.5645420Z Executing ['/opt/conda/envs/py_3.14/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 09:06:35.564251] 2025-12-04T09:06:38.4947386Z 2025-12-04T09:06:38.4948594Z test_show_pickle 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_show_pickle_1.1_bc673d58926e941f_.log 2025-12-04T09:06:38.4949374Z Running 0 items in this shard: 2025-12-04T09:06:38.4949576Z 2025-12-04T09:06:38.4994059Z Finished test_show_pickle 1/1 ... [2025-12-04 09:06:38.494494][2055.804331984], took 0.05min 2025-12-04T09:06:38.4995108Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_show_pickle/test_show_pickle-9c865dbb99ee0969.xml 2025-12-04T09:06:38.5221372Z Running test_sort_and_select 1/1 ... [2025-12-04 09:06:38.521849][2055.83168693] 2025-12-04T09:06:38.5221872Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:06:38.5224416Z Executing ['/opt/conda/envs/py_3.14/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 09:06:38.522173] 2025-12-04T09:06:41.6020934Z 2025-12-04T09:06:41.6021896Z 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_b34ef465ce6aab1f_.log 2025-12-04T09:06:41.6022726Z Running 0 items in this shard: 2025-12-04T09:06:41.6022931Z 2025-12-04T09:06:41.6023223Z Finished test_sort_and_select 1/1 ... [2025-12-04 09:06:41.601877][2058.911715214], took 0.05min 2025-12-04T09:06:41.6070075Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_sort_and_select/test_sort_and_select-22878464bfa1a75e.xml 2025-12-04T09:06:41.6315352Z Running test_spectral_ops 1/1 ... [2025-12-04 09:06:41.631257][2058.941095053] 2025-12-04T09:06:41.6316022Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:06:41.6318540Z Executing ['/opt/conda/envs/py_3.14/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 09:06:41.631572] 2025-12-04T09:06:46.0917314Z 2025-12-04T09:06:46.0918259Z test_spectral_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_spectral_ops_1.1_2ae21c3122f31cb3_.log 2025-12-04T09:06:46.0919033Z Running 0 items in this shard: 2025-12-04T09:06:46.0919249Z 2025-12-04T09:06:46.0919526Z Finished test_spectral_ops 1/1 ... [2025-12-04 09:06:46.091526][2063.4013648], took 0.07min 2025-12-04T09:06:46.0967957Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_spectral_ops/test_spectral_ops-2a64c8be3cf6f1d2.xml 2025-12-04T09:06:46.1188852Z Running test_tensor_creation_ops 1/1 ... [2025-12-04 09:06:46.118631][2063.428469563] 2025-12-04T09:06:46.1189391Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:06:46.1192030Z Executing ['/opt/conda/envs/py_3.14/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 09:06:46.118941] 2025-12-04T09:06:50.1206369Z 2025-12-04T09:06:50.1207341Z 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_78cd22ca2d516f55_.log 2025-12-04T09:06:50.1208207Z Running 0 items in this shard: 2025-12-04T09:06:50.1208407Z 2025-12-04T09:06:50.1208727Z Finished test_tensor_creation_ops 1/1 ... [2025-12-04 09:06:50.120428][2067.43026678], took 0.07min 2025-12-04T09:06:50.1257196Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_tensor_creation_ops/test_tensor_creation_ops-dacfa1810c852e8a.xml 2025-12-04T09:06:50.1500714Z Running test_tensorexpr 1/1 ... [2025-12-04 09:06:50.149783][2067.459621285] 2025-12-04T09:06:50.1501506Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:06:50.1503832Z Executing ['/opt/conda/envs/py_3.14/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 09:06:50.150093] 2025-12-04T09:06:53.1979675Z 2025-12-04T09:06:53.1980777Z test_tensorexpr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorexpr_1.1_861ce2bea03b2835_.log 2025-12-04T09:06:53.1981678Z Running 0 items in this shard: 2025-12-04T09:06:53.1981881Z 2025-12-04T09:06:53.1982291Z Finished test_tensorexpr 1/1 ... [2025-12-04 09:06:53.197730][2070.507568031], took 0.05min 2025-12-04T09:06:53.2035785Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_tensorexpr/test_tensorexpr-4bb20ed35604febd.xml 2025-12-04T09:06:53.2272375Z Running test_torch 1/1 ... [2025-12-04 09:06:53.226949][2070.53678624] 2025-12-04T09:06:53.2272863Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:06:53.2275246Z Executing ['/opt/conda/envs/py_3.14/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 09:06:53.227256] 2025-12-04T09:07:15.8526653Z 2025-12-04T09:07:15.8527506Z test_torch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_torch_1.1_32616d05b44039e4_.log 2025-12-04T09:07:15.8578600Z Running 200 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::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, 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, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu 2025-12-04T09:07:15.8629674Z 2025-12-04T09:07:15.8629931Z Finished test_torch 1/1 ... [2025-12-04 09:07:15.852711][2093.162547046], took 0.38min 2025-12-04T09:07:15.8630881Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_torch/test_torch-559a1162feefbcea.xml 2025-12-04T09:07:15.9281807Z Running test_utils 1/1 ... [2025-12-04 09:07:15.927812][2093.237650095] 2025-12-04T09:07:15.9282391Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:07:15.9284227Z Executing ['/opt/conda/envs/py_3.14/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 09:07:15.928141] 2025-12-04T09:07:29.7110884Z 2025-12-04T09:07:29.7111979Z test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_utils_1.1_fff5e1e73eeabcfe_.log 2025-12-04T09:07:29.7139652Z 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 2025-12-04T09:07:29.7166282Z 2025-12-04T09:07:29.7166533Z Finished test_utils 1/1 ... [2025-12-04 09:07:29.710931][2107.02076891], took 0.23min 2025-12-04T09:07:29.7167497Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_utils/test_utils-491e31945acf51ce.xml 2025-12-04T09:07:29.8000299Z Running cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 ... [2025-12-04 09:07:29.799595][2107.109432821] 2025-12-04T09:07:29.8001133Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:07:29.8002996Z Executing ['/opt/conda/envs/py_3.14/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 09:07:29.799903] 2025-12-04T09:07:32.8207740Z 2025-12-04T09:07:32.8209335Z 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_98f0e636f5b40a26_.log 2025-12-04T09:07:32.8211064Z Running 0 items in this shard: 2025-12-04T09:07:32.8211281Z 2025-12-04T09:07:32.8211825Z Finished cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 ... [2025-12-04 09:07:32.820519][2110.130358412], took 0.05min 2025-12-04T09:07:32.8263889Z 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-ff2529bd7634804d.xml 2025-12-04T09:07:32.8572505Z Running inductor/test_aot_inductor 1/1 ... [2025-12-04 09:07:32.856944][2110.166782833] 2025-12-04T09:07:32.8573291Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:07:32.8574917Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'inductor/test_aot_inductor.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:07:32.857238] 2025-12-04T09:07:40.0723875Z 2025-12-04T09:07:40.0725419Z inductor/test_aot_inductor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_1.1_3c8a24af80596da9_.log 2025-12-04T09:07:40.0726264Z 2025-12-04T09:07:40.0726605Z Finished inductor/test_aot_inductor 1/1 ... [2025-12-04 09:07:40.072139][2117.38197681], took 0.12min 2025-12-04T09:07:40.0783367Z Running inductor/test_b2b_gemm 1/1 ... [2025-12-04 09:07:40.078124][2117.387962454] 2025-12-04T09:07:40.0783864Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:07:40.0786892Z Executing ['/opt/conda/envs/py_3.14/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 09:07:40.078443] 2025-12-04T09:07:46.9466782Z 2025-12-04T09:07:46.9467772Z 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_1bd23495fca46d29_.log 2025-12-04T09:07:46.9468508Z 2025-12-04T09:07:46.9468846Z Finished inductor/test_b2b_gemm 1/1 ... [2025-12-04 09:07:46.946418][2124.256255936], took 0.11min 2025-12-04T09:07:46.9526589Z Running inductor/test_cooperative_reductions 1/1 ... [2025-12-04 09:07:46.952429][2124.262267237] 2025-12-04T09:07:46.9527483Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:07:46.9530684Z Executing ['/opt/conda/envs/py_3.14/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 09:07:46.952792] 2025-12-04T09:07:53.7549556Z 2025-12-04T09:07:53.7550691Z 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_f8459e319ca57049_.log 2025-12-04T09:07:53.7551577Z 2025-12-04T09:07:53.7552007Z Finished inductor/test_cooperative_reductions 1/1 ... [2025-12-04 09:07:53.754690][2131.064528278], took 0.11min 2025-12-04T09:07:53.7608896Z Running inductor/test_cudagraph_trees 1/1 ... [2025-12-04 09:07:53.760681][2131.07052002] 2025-12-04T09:07:53.7609452Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:07:53.7612817Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'inductor/test_cudagraph_trees.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:07:53.760993] 2025-12-04T09:08:00.5726183Z 2025-12-04T09:08:00.5727253Z inductor/test_cudagraph_trees 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudagraph_trees_1.1_3f57a902f355e633_.log 2025-12-04T09:08:00.5728067Z 2025-12-04T09:08:00.5728445Z Finished inductor/test_cudagraph_trees 1/1 ... [2025-12-04 09:08:00.572347][2137.882185259], took 0.11min 2025-12-04T09:08:00.5785539Z Running inductor/test_flex_flash 1/1 ... [2025-12-04 09:08:00.578337][2137.888176778] 2025-12-04T09:08:00.5786055Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:00.5789261Z Executing ['/opt/conda/envs/py_3.14/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 09:08:00.578668] 2025-12-04T09:08:04.3763425Z 2025-12-04T09:08:04.3764398Z 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_0588563984082d74_.log 2025-12-04T09:08:04.3765283Z Running 0 items in this shard: 2025-12-04T09:08:04.3765486Z 2025-12-04T09:08:04.3765801Z Finished inductor/test_flex_flash 1/1 ... [2025-12-04 09:08:04.376124][2141.685959963], took 0.06min 2025-12-04T09:08:04.3821847Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_flash/inductor.test_flex_flash-40a7b780453f9857.xml 2025-12-04T09:08:04.4572683Z Running inductor/test_inplace_padding 1/1 ... [2025-12-04 09:08:04.456922][2141.766760588] 2025-12-04T09:08:04.4573282Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:04.4575561Z Executing ['/opt/conda/envs/py_3.14/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 09:08:04.457243] 2025-12-04T09:08:11.5602706Z 2025-12-04T09:08:11.5604453Z 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_f9bacac53eeae857_.log 2025-12-04T09:08:11.5606006Z 2025-12-04T09:08:11.5606702Z Finished inductor/test_inplace_padding 1/1 ... [2025-12-04 09:08:11.559902][2148.869740025], took 0.12min 2025-12-04T09:08:11.5665563Z Running inductor/test_loop_ordering 1/1 ... [2025-12-04 09:08:11.566287][2148.876126032] 2025-12-04T09:08:11.5666801Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:11.5671212Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'inductor/test_loop_ordering.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 09:08:11.566723] 2025-12-04T09:08:18.4939785Z 2025-12-04T09:08:18.4940821Z inductor/test_loop_ordering 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_loop_ordering_1.1_7771c6d41705362f_.log 2025-12-04T09:08:18.4941606Z 2025-12-04T09:08:18.4941997Z Finished inductor/test_loop_ordering 1/1 ... [2025-12-04 09:08:18.493712][2155.80354754], took 0.12min 2025-12-04T09:08:18.4999954Z Running inductor/test_minifier_isolate 1/1 ... [2025-12-04 09:08:18.499791][2155.809630658] 2025-12-04T09:08:18.5000492Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:18.5004228Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'inductor/test_minifier_isolate.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:18.500120] 2025-12-04T09:08:25.2713044Z 2025-12-04T09:08:25.2714299Z inductor/test_minifier_isolate 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_minifier_isolate_1.1_af0f8ad577d35da9_.log 2025-12-04T09:08:25.2715126Z 2025-12-04T09:08:25.2715499Z Finished inductor/test_minifier_isolate 1/1 ... [2025-12-04 09:08:25.271028][2162.580866826], took 0.11min 2025-12-04T09:08:25.2775041Z Running inductor/test_native_matmul 1/1 ... [2025-12-04 09:08:25.277225][2162.58706305] 2025-12-04T09:08:25.2775888Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:25.2779781Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'inductor/test_native_matmul.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 09:08:25.277606] 2025-12-04T09:08:32.0637631Z 2025-12-04T09:08:32.0638679Z inductor/test_native_matmul 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_native_matmul_1.1_8b9720f5acb6889a_.log 2025-12-04T09:08:32.0639482Z 2025-12-04T09:08:32.0639826Z Finished inductor/test_native_matmul 1/1 ... [2025-12-04 09:08:32.063505][2169.373343181], took 0.11min 2025-12-04T09:08:32.0697873Z Running inductor/test_padding 1/1 ... [2025-12-04 09:08:32.069583][2169.379421312] 2025-12-04T09:08:32.0698784Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:32.0702203Z Executing ['/opt/conda/envs/py_3.14/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 09:08:32.069934] 2025-12-04T09:08:38.8661145Z 2025-12-04T09:08:38.8662356Z inductor/test_padding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_padding_1.1_e352cc7dde0b8ee5_.log 2025-12-04T09:08:38.8663111Z 2025-12-04T09:08:38.8663427Z Finished inductor/test_padding 1/1 ... [2025-12-04 09:08:38.865874][2176.175712754], took 0.11min 2025-12-04T09:08:38.8722763Z Running inductor/test_quantization 1/1 ... [2025-12-04 09:08:38.872080][2176.18191907] 2025-12-04T09:08:38.8723280Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:38.8726445Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'inductor/test_quantization.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:38.872395] 2025-12-04T09:08:45.6183894Z 2025-12-04T09:08:45.6184942Z inductor/test_quantization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_quantization_1.1_caa68ee1bc21de03_.log 2025-12-04T09:08:45.6185750Z 2025-12-04T09:08:45.6186085Z Finished inductor/test_quantization 1/1 ... [2025-12-04 09:08:45.618141][2182.927978711], took 0.11min 2025-12-04T09:08:45.6244559Z Running inductor/test_snode_runtime 1/1 ... [2025-12-04 09:08:45.624273][2182.934111936] 2025-12-04T09:08:45.6245088Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:45.6248302Z Executing ['/opt/conda/envs/py_3.14/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 09:08:45.624582] 2025-12-04T09:08:52.4020594Z 2025-12-04T09:08:52.4021655Z 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_fdc885604e37aec1_.log 2025-12-04T09:08:52.4022436Z 2025-12-04T09:08:52.4022791Z Finished inductor/test_snode_runtime 1/1 ... [2025-12-04 09:08:52.401807][2189.711645183], took 0.11min 2025-12-04T09:08:52.4080892Z Running inductor/test_triton_extension_backend 1/1 ... [2025-12-04 09:08:52.407887][2189.717725933] 2025-12-04T09:08:52.4081474Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:52.4084586Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'inductor/test_triton_extension_backend.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:52.408197] 2025-12-04T09:08:59.5937069Z 2025-12-04T09:08:59.5938882Z inductor/test_triton_extension_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_extension_backend_1.1_2047b27f634662c5_.log 2025-12-04T09:08:59.5940562Z Running 0 items in this shard: 2025-12-04T09:08:59.5940877Z 2025-12-04T09:08:59.5941516Z Finished inductor/test_triton_extension_backend 1/1 ... [2025-12-04 09:08:59.593439][2196.903277572], took 0.12min 2025-12-04T09:08:59.5996254Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_triton_extension_backend/inductor.test_triton_extension_backend-35a628e651aec657.xml 2025-12-04T09:08:59.6717234Z Running nn/attention/test_fa4 1/1 ... [2025-12-04 09:08:59.671443][2196.981281049] 2025-12-04T09:08:59.6717764Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:59.6720958Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'nn/attention/test_fa4.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:59.671775] 2025-12-04T09:09:02.6740761Z 2025-12-04T09:09:02.6741754Z nn/attention/test_fa4 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.attention.test_fa4_1.1_383b5b18d25ac0e0_.log 2025-12-04T09:09:02.6742596Z Running 0 items in this shard: 2025-12-04T09:09:02.6742828Z 2025-12-04T09:09:02.6743130Z Finished nn/attention/test_fa4 1/1 ... [2025-12-04 09:09:02.673876][2199.983712071], took 0.05min 2025-12-04T09:09:02.6800864Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.attention.test_fa4/nn.attention.test_fa4-a9b5251637f6f717.xml 2025-12-04T09:09:02.7049769Z Running test_cuda_expandable_segments 1/1 ... [2025-12-04 09:09:02.704749][2200.014587707] 2025-12-04T09:09:02.7050299Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:02.7053343Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_cuda_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 09:09:02.705075] 2025-12-04T09:09:07.0505048Z 2025-12-04T09:09:07.0506116Z test_cuda_expandable_segments 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_expandable_segments_1.1_6dde522e5177c4c8_.log 2025-12-04T09:09:07.0506923Z 2025-12-04T09:09:07.0507261Z Finished test_cuda_expandable_segments 1/1 ... [2025-12-04 09:09:07.050259][2204.360096317], took 0.07min 2025-12-04T09:09:07.0568110Z Running test_jit_fuser_te 1/1 ... [2025-12-04 09:09:07.056611][2204.366450184] 2025-12-04T09:09:07.0568598Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:07.0572069Z Executing ['/opt/conda/envs/py_3.14/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 09:09:07.056954] 2025-12-04T09:09:12.2880866Z 2025-12-04T09:09:12.2881791Z 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_0aa38cf6092c5a5c_.log 2025-12-04T09:09:12.2882465Z 2025-12-04T09:09:12.2882746Z Finished test_jit_fuser_te 1/1 ... [2025-12-04 09:09:12.287877][2209.597710968], took 0.09min 2025-12-04T09:09:12.2945426Z Running test_monitor 1/1 ... [2025-12-04 09:09:12.294306][2209.604145463] 2025-12-04T09:09:12.2945888Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:12.2949132Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_monitor.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 09:09:12.294644] 2025-12-04T09:09:15.2575826Z 2025-12-04T09:09:15.2576654Z test_monitor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_monitor_1.1_250551ab66f52b21_.log 2025-12-04T09:09:15.2577408Z Running 0 items in this shard: 2025-12-04T09:09:15.2577608Z 2025-12-04T09:09:15.2577864Z Finished test_monitor 1/1 ... [2025-12-04 09:09:15.257386][2212.567217266], took 0.05min 2025-12-04T09:09:15.2638071Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_monitor/test_monitor-d2c0d2fc221fca7b.xml 2025-12-04T09:09:15.3256983Z Running test_namedtensor 1/1 ... [2025-12-04 09:09:15.325369][2212.635207172] 2025-12-04T09:09:15.3257583Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:15.3260669Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_namedtensor.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:15.325716] 2025-12-04T09:09:18.4631405Z 2025-12-04T09:09:18.4632339Z test_namedtensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_namedtensor_1.1_8b783eec3e54a91d_.log 2025-12-04T09:09:18.4633114Z Running 0 items in this shard: 2025-12-04T09:09:18.4633335Z 2025-12-04T09:09:18.4633627Z Finished test_namedtensor 1/1 ... [2025-12-04 09:09:18.462987][2215.772824001], took 0.05min 2025-12-04T09:09:18.4693861Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_namedtensor/test_namedtensor-9a2e3efe7a966569.xml 2025-12-04T09:09:18.5468449Z Running test_native_functions 1/1 ... [2025-12-04 09:09:18.546477][2215.856315946] 2025-12-04T09:09:18.5469077Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:18.5471161Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_native_functions.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:18.546809] 2025-12-04T09:09:21.4936134Z 2025-12-04T09:09:21.4937288Z test_native_functions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_functions_1.1_4dff792fb598780a_.log 2025-12-04T09:09:21.4938130Z Running 0 items in this shard: 2025-12-04T09:09:21.4938333Z 2025-12-04T09:09:21.4938654Z Finished test_native_functions 1/1 ... [2025-12-04 09:09:21.493396][2218.803227088], took 0.05min 2025-12-04T09:09:21.4999470Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_native_functions/test_native_functions-0ed7f450f812f3f0.xml 2025-12-04T09:09:21.5294958Z Running test_nestedtensor 1/4 ... [2025-12-04 09:09:21.529262][2218.839100023] 2025-12-04T09:09:21.5295459Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:21.5298719Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_nestedtensor.py', '-m', 'serial', '--shard-id=1', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:21.529592] 2025-12-04T09:09:28.3770149Z 2025-12-04T09:09:28.3771097Z test_nestedtensor 1/4 was successful, full logs can be found in artifacts with path test/test-reports/test_nestedtensor_1.4_a13c91e25f65d0bf_.log 2025-12-04T09:09:28.3771898Z Running 0 items in this shard: 2025-12-04T09:09:28.3772099Z 2025-12-04T09:09:28.3772411Z Finished test_nestedtensor 1/4 ... [2025-12-04 09:09:28.376827][2225.686664304], took 0.11min 2025-12-04T09:09:28.3835334Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_nestedtensor/test_nestedtensor-37fc6e2506caf108.xml 2025-12-04T09:09:28.4644943Z Running test_ops_gradients 2/2 ... [2025-12-04 09:09:28.464182][2225.77401994] 2025-12-04T09:09:28.4645465Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:28.4648192Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_ops_gradients.py', '-m', 'serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:28.464525] 2025-12-04T09:09:41.3295494Z 2025-12-04T09:09:41.3296557Z test_ops_gradients 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_gradients_2.2_25af67479a6d7c95_.log 2025-12-04T09:09:41.3297384Z Running 0 items in this shard: 2025-12-04T09:09:41.3297588Z 2025-12-04T09:09:41.3298156Z Finished test_ops_gradients 2/2 ... [2025-12-04 09:09:41.329338][2238.639171542], took 0.21min 2025-12-04T09:09:41.3362492Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_gradients/test_ops_gradients-814d3586dca8ec53.xml 2025-12-04T09:09:41.3991933Z Running test_ops_jit 1/2 ... [2025-12-04 09:09:41.398875][2238.708712801] 2025-12-04T09:09:41.3992409Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:41.3995014Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_ops_jit.py', '-m', 'serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:41.399212] 2025-12-04T09:09:47.1473260Z 2025-12-04T09:09:47.1474126Z test_ops_jit 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_jit_1.2_bda9ce245ec3868b_.log 2025-12-04T09:09:47.1474921Z Running 0 items in this shard: 2025-12-04T09:09:47.1475123Z 2025-12-04T09:09:47.1475375Z Finished test_ops_jit 1/2 ... [2025-12-04 09:09:47.147096][2244.456934504], took 0.10min 2025-12-04T09:09:47.1540626Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_jit/test_ops_jit-1ba0fd4391101006.xml 2025-12-04T09:09:47.1801313Z Running test_ops_jit 2/2 ... [2025-12-04 09:09:47.179857][2244.489694027] 2025-12-04T09:09:47.1801997Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:47.1805246Z Executing ['/opt/conda/envs/py_3.14/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 09:09:47.180249] 2025-12-04T09:09:52.9179693Z 2025-12-04T09:09:52.9180861Z test_ops_jit 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_jit_2.2_34bec3e63ce15041_.log 2025-12-04T09:09:52.9181640Z Running 0 items in this shard: 2025-12-04T09:09:52.9181843Z 2025-12-04T09:09:52.9182091Z Finished test_ops_jit 2/2 ... [2025-12-04 09:09:52.917701][2250.227538809], took 0.10min 2025-12-04T09:09:52.9247469Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_jit/test_ops_jit-9ae23d10ecf096f8.xml 2025-12-04T09:09:52.9511754Z Running test_varlen_attention 1/1 ... [2025-12-04 09:09:52.950853][2250.260691624] 2025-12-04T09:09:52.9512397Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:52.9513895Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_varlen_attention.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 09:09:52.951147] 2025-12-04T09:09:55.9072500Z 2025-12-04T09:09:55.9073473Z test_varlen_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_varlen_attention_1.1_762204eef35bd719_.log 2025-12-04T09:09:55.9074309Z Running 0 items in this shard: 2025-12-04T09:09:55.9074528Z 2025-12-04T09:09:55.9074846Z Finished test_varlen_attention 1/1 ... [2025-12-04 09:09:55.906977][2253.216815052], took 0.05min 2025-12-04T09:09:55.9140203Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_varlen_attention/test_varlen_attention-cacc577dfe24d98f.xml 2025-12-04T09:09:58.3833403Z Running cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 ... [2025-12-04 09:09:58.382880][2255.692714913] 2025-12-04T09:09:58.3834289Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:58.3836896Z Executing ['/opt/conda/envs/py_3.14/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 09:09:58.383303] 2025-12-04T09:09:58.3838987Z Running inductor/test_aot_inductor 1/1 ... [2025-12-04 09:09:58.383301][2255.693136574] 2025-12-04T09:09:58.3839853Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:58.3841237Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'inductor/test_aot_inductor.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:58.383722] 2025-12-04T09:09:58.3948194Z Running inductor/test_b2b_gemm 1/1 ... [2025-12-04 09:09:58.394540][2255.704375337] 2025-12-04T09:09:58.3948700Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:58.3951957Z Executing ['/opt/conda/envs/py_3.14/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 09:09:58.394899] 2025-12-04T09:10:01.5346188Z 2025-12-04T09:10:01.5347834Z 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_fe339fdb0f5f1a5d_.log 2025-12-04T09:10:01.5349258Z Running 0 items in this shard: 2025-12-04T09:10:01.5349476Z 2025-12-04T09:10:01.5350000Z Finished cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 ... [2025-12-04 09:10:01.534495][2258.844329935], took 0.05min 2025-12-04T09:10:01.5410348Z 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-57819796a0bfa982.xml 2025-12-04T09:10:04.8628532Z Running inductor/test_cooperative_reductions 1/1 ... [2025-12-04 09:10:04.862385][2262.172219994] 2025-12-04T09:10:04.8629174Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:04.8631753Z Executing ['/opt/conda/envs/py_3.14/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 09:10:04.862801] 2025-12-04T09:10:05.8783453Z 2025-12-04T09:10:05.8784720Z 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_a3b7e64cf2ebc905_.log 2025-12-04T09:10:05.8785915Z 2025-12-04T09:10:05.8786448Z Finished inductor/test_b2b_gemm 1/1 ... [2025-12-04 09:10:05.878075][2263.187912621], took 0.12min 2025-12-04T09:10:07.7619116Z 2025-12-04T09:10:07.7620624Z inductor/test_aot_inductor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_1.1_1337a2347b53f06e_.log 2025-12-04T09:10:07.7622072Z 2025-12-04T09:10:07.7622610Z Finished inductor/test_aot_inductor 1/1 ... [2025-12-04 09:10:07.761610][2265.071444743], took 0.16min 2025-12-04T09:10:09.1891725Z Running inductor/test_cudagraph_trees 1/1 ... [2025-12-04 09:10:09.188713][2266.498547495] 2025-12-04T09:10:09.1892320Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:09.1895080Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'inductor/test_cudagraph_trees.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:09.189154] 2025-12-04T09:10:10.9928366Z Running inductor/test_flex_flash 1/1 ... [2025-12-04 09:10:10.992319][2268.302152918] 2025-12-04T09:10:10.9929077Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:10.9930554Z Executing ['/opt/conda/envs/py_3.14/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 09:10:10.992708] 2025-12-04T09:10:12.3012809Z 2025-12-04T09:10:12.3014119Z 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_1aefdd40486cf024_.log 2025-12-04T09:10:12.3015134Z 2025-12-04T09:10:12.3015543Z Finished inductor/test_cooperative_reductions 1/1 ... [2025-12-04 09:10:12.301028][2269.610859299], took 0.12min 2025-12-04T09:10:15.0599659Z 2025-12-04T09:10:15.0600727Z 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_59f44d908744eb35_.log 2025-12-04T09:10:15.0601899Z Running 0 items in this shard: 2025-12-04T09:10:15.0602107Z 2025-12-04T09:10:15.0602445Z Finished inductor/test_flex_flash 1/1 ... [2025-12-04 09:10:15.059799][2272.369635581], took 0.07min 2025-12-04T09:10:15.0664501Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_flash/inductor.test_flex_flash-2eb828d1513f4a1a.xml 2025-12-04T09:10:15.5732547Z Running inductor/test_inplace_padding 1/1 ... [2025-12-04 09:10:15.572834][2272.882667936] 2025-12-04T09:10:15.5733137Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:15.5735674Z Executing ['/opt/conda/envs/py_3.14/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 09:10:15.573260] 2025-12-04T09:10:16.5852868Z 2025-12-04T09:10:16.5853944Z inductor/test_cudagraph_trees 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudagraph_trees_1.1_400272b930939b74_.log 2025-12-04T09:10:16.5854794Z 2025-12-04T09:10:16.5855146Z Finished inductor/test_cudagraph_trees 1/1 ... [2025-12-04 09:10:16.585002][2273.894838502], took 0.12min 2025-12-04T09:10:18.4056765Z Running inductor/test_loop_ordering 1/1 ... [2025-12-04 09:10:18.405190][2275.715024998] 2025-12-04T09:10:18.4057355Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:18.4060043Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'inductor/test_loop_ordering.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 09:10:18.405614] 2025-12-04T09:10:19.9004454Z Running inductor/test_minifier_isolate 1/1 ... [2025-12-04 09:10:19.899951][2277.209785799] 2025-12-04T09:10:19.9005040Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:19.9008034Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'inductor/test_minifier_isolate.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:19.900459] 2025-12-04T09:10:23.3568354Z 2025-12-04T09:10:23.3569543Z 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_256707d4a6959497_.log 2025-12-04T09:10:23.3570487Z 2025-12-04T09:10:23.3570952Z Finished inductor/test_inplace_padding 1/1 ... [2025-12-04 09:10:23.356570][2280.666405897], took 0.13min 2025-12-04T09:10:25.8808187Z 2025-12-04T09:10:25.8810195Z inductor/test_loop_ordering 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_loop_ordering_1.1_11b946ef5702f015_.log 2025-12-04T09:10:25.8811040Z 2025-12-04T09:10:25.8811393Z Finished inductor/test_loop_ordering 1/1 ... [2025-12-04 09:10:25.880575][2283.190407513], took 0.12min 2025-12-04T09:10:26.6222772Z Running inductor/test_native_matmul 1/1 ... [2025-12-04 09:10:26.621802][2283.931637879] 2025-12-04T09:10:26.6223349Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:26.6225096Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'inductor/test_native_matmul.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 09:10:26.622213] 2025-12-04T09:10:27.5629916Z 2025-12-04T09:10:27.5631006Z inductor/test_minifier_isolate 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_minifier_isolate_1.1_b2999be02c768797_.log 2025-12-04T09:10:27.5631831Z 2025-12-04T09:10:27.5632198Z Finished inductor/test_minifier_isolate 1/1 ... [2025-12-04 09:10:27.562739][2284.872576177], took 0.13min 2025-12-04T09:10:29.1422268Z Running inductor/test_padding 1/1 ... [2025-12-04 09:10:29.141778][2286.451610469] 2025-12-04T09:10:29.1422837Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:29.1425561Z Executing ['/opt/conda/envs/py_3.14/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 09:10:29.142246] 2025-12-04T09:10:30.7477714Z Running inductor/test_quantization 1/1 ... [2025-12-04 09:10:30.747332][2288.057167412] 2025-12-04T09:10:30.7478296Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:30.7481225Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'inductor/test_quantization.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:30.747791] 2025-12-04T09:10:34.0159213Z 2025-12-04T09:10:34.0160576Z inductor/test_native_matmul 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_native_matmul_1.1_b7dba881894ec258_.log 2025-12-04T09:10:34.0161364Z 2025-12-04T09:10:34.0161704Z Finished inductor/test_native_matmul 1/1 ... [2025-12-04 09:10:34.015545][2291.325382558], took 0.12min 2025-12-04T09:10:36.6330709Z 2025-12-04T09:10:36.6331966Z inductor/test_padding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_padding_1.1_49afc615bdd963f2_.log 2025-12-04T09:10:36.6332703Z 2025-12-04T09:10:36.6333057Z Finished inductor/test_padding 1/1 ... [2025-12-04 09:10:36.632767][2293.942603438], took 0.12min 2025-12-04T09:10:37.3128696Z Running inductor/test_snode_runtime 1/1 ... [2025-12-04 09:10:37.312477][2294.622311049] 2025-12-04T09:10:37.3129270Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:37.3131710Z Executing ['/opt/conda/envs/py_3.14/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 09:10:37.312889] 2025-12-04T09:10:38.2987660Z 2025-12-04T09:10:38.2989187Z inductor/test_quantization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_quantization_1.1_cc5f54b784a3b443_.log 2025-12-04T09:10:38.2990003Z 2025-12-04T09:10:38.2990337Z Finished inductor/test_quantization 1/1 ... [2025-12-04 09:10:38.298422][2295.60825935], took 0.13min 2025-12-04T09:10:39.8920472Z Running inductor/test_triton_extension_backend 1/1 ... [2025-12-04 09:10:39.891530][2297.201365028] 2025-12-04T09:10:39.8921329Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:39.8923435Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'inductor/test_triton_extension_backend.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:39.891910] 2025-12-04T09:10:41.5019456Z Running nn/attention/test_fa4 1/1 ... [2025-12-04 09:10:41.501493][2298.811327411] 2025-12-04T09:10:41.5020001Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:41.5021976Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'nn/attention/test_fa4.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:41.501899] 2025-12-04T09:10:44.6221284Z 2025-12-04T09:10:44.6222856Z 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_b6bd9370b73f5d72_.log 2025-12-04T09:10:44.6224712Z 2025-12-04T09:10:44.6225350Z Finished inductor/test_snode_runtime 1/1 ... [2025-12-04 09:10:44.621877][2301.931702796], took 0.12min 2025-12-04T09:10:44.6291818Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.attention.test_fa4/nn.attention.test_fa4-ca479f3317b82deb.xml 2025-12-04T09:10:44.6378652Z 2025-12-04T09:10:44.6380099Z nn/attention/test_fa4 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.attention.test_fa4_1.1_e1ad2cd45983bc23_.log 2025-12-04T09:10:44.6380968Z Running 0 items in this shard: 2025-12-04T09:10:44.6381171Z 2025-12-04T09:10:44.6381522Z Finished nn/attention/test_fa4 1/1 ... [2025-12-04 09:10:44.637813][2301.947642533], took 0.05min 2025-12-04T09:10:47.8569508Z 2025-12-04T09:10:47.8570819Z inductor/test_triton_extension_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_extension_backend_1.1_39fc85b1759bfdff_.log 2025-12-04T09:10:47.8572159Z Running 0 items in this shard: 2025-12-04T09:10:47.8572451Z 2025-12-04T09:10:47.8573104Z Finished inductor/test_triton_extension_backend 1/1 ... [2025-12-04 09:10:47.856884][2305.166718071], took 0.13min 2025-12-04T09:10:47.8640018Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_triton_extension_backend/inductor.test_triton_extension_backend-08ff2b6f853f69cb.xml 2025-12-04T09:10:47.9507431Z Running test_cuda_expandable_segments 1/1 ... [2025-12-04 09:10:47.950302][2305.260136027] 2025-12-04T09:10:47.9508007Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:47.9510937Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_cuda_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 09:10:47.950750] 2025-12-04T09:10:47.9647782Z Running test_jit_fuser_te 1/1 ... [2025-12-04 09:10:47.964443][2305.274278077] 2025-12-04T09:10:47.9648279Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:47.9652365Z Executing ['/opt/conda/envs/py_3.14/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 09:10:47.964902] 2025-12-04T09:10:51.1781786Z Running test_monitor 1/1 ... [2025-12-04 09:10:51.177731][2308.487566562] 2025-12-04T09:10:51.1782481Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:51.1784718Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_monitor.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 09:10:51.178128] 2025-12-04T09:10:52.4182446Z 2025-12-04T09:10:52.4183574Z test_cuda_expandable_segments 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_expandable_segments_1.1_8425add9d13dfc9e_.log 2025-12-04T09:10:52.4184800Z 2025-12-04T09:10:52.4185151Z Finished test_cuda_expandable_segments 1/1 ... [2025-12-04 09:10:52.418006][2309.727840216], took 0.07min 2025-12-04T09:10:53.1097155Z 2025-12-04T09:10:53.1098232Z 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_25e8e781017218c3_.log 2025-12-04T09:10:53.1099244Z 2025-12-04T09:10:53.1099695Z Finished test_jit_fuser_te 1/1 ... [2025-12-04 09:10:53.109579][2310.419411602], took 0.09min 2025-12-04T09:10:54.4150775Z 2025-12-04T09:10:54.4151664Z test_monitor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_monitor_1.1_03952a317fcfba5f_.log 2025-12-04T09:10:54.4152724Z Running 0 items in this shard: 2025-12-04T09:10:54.4152939Z 2025-12-04T09:10:54.4153211Z Finished test_monitor 1/1 ... [2025-12-04 09:10:54.414853][2311.724689617], took 0.05min 2025-12-04T09:10:54.4223919Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_monitor/test_monitor-39ad1e68073a4554.xml 2025-12-04T09:10:55.7093021Z Running test_namedtensor 1/1 ... [2025-12-04 09:10:55.708873][2313.018708257] 2025-12-04T09:10:55.7093927Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:55.7095831Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_namedtensor.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:55.709262] 2025-12-04T09:10:56.4107203Z Running test_native_functions 1/1 ... [2025-12-04 09:10:56.410264][2313.72009821] 2025-12-04T09:10:56.4108013Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:56.4109823Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_native_functions.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:56.410679] 2025-12-04T09:10:57.6439516Z Running test_nestedtensor 1/4 ... [2025-12-04 09:10:57.643499][2314.953334221] 2025-12-04T09:10:57.6440110Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:57.6443203Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_nestedtensor.py', '-m', 'not serial', '--shard-id=1', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:57.643922] 2025-12-04T09:10:59.1400122Z 2025-12-04T09:10:59.1401205Z test_namedtensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_namedtensor_1.1_34913d7947953229_.log 2025-12-04T09:10:59.1402285Z Running 0 items in this shard: 2025-12-04T09:10:59.1402506Z 2025-12-04T09:10:59.1402799Z Finished test_namedtensor 1/1 ... [2025-12-04 09:10:59.139914][2316.449740532], took 0.06min 2025-12-04T09:10:59.1528601Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_namedtensor/test_namedtensor-3f7c4eaa2386a157.xml 2025-12-04T09:10:59.1767174Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_native_functions/test_native_functions-bf571a1c3e5233ac.xml 2025-12-04T09:10:59.6205127Z 2025-12-04T09:10:59.6206915Z test_native_functions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_functions_1.1_51da860d756273e9_.log 2025-12-04T09:10:59.6208269Z Running 0 items in this shard: 2025-12-04T09:10:59.6208620Z 2025-12-04T09:10:59.6209142Z Finished test_native_functions 1/1 ... [2025-12-04 09:10:59.620392][2316.930227234], took 0.05min 2025-12-04T09:11:02.3982217Z Running test_ops_gradients 2/2 ... [2025-12-04 09:11:02.397752][2319.70758587] 2025-12-04T09:11:02.3982754Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:11:02.3985555Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_ops_gradients.py', '-m', 'not serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:11:02.398226] 2025-12-04T09:11:02.9020960Z Running test_ops_jit 1/2 ... [2025-12-04 09:11:02.901652][2320.211487641] 2025-12-04T09:11:02.9021540Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:11:02.9023254Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_ops_jit.py', '-m', 'not serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:11:02.902038] 2025-12-04T09:11:04.9557333Z 2025-12-04T09:11:04.9558631Z test_nestedtensor 1/4 was successful, full logs can be found in artifacts with path test/test-reports/test_nestedtensor_1.4_624c847d9e2e05cb_.log 2025-12-04T09:11:04.9559615Z Running 0 items in this shard: 2025-12-04T09:11:04.9559899Z 2025-12-04T09:11:04.9560353Z Finished test_nestedtensor 1/4 ... [2025-12-04 09:11:04.955653][2322.265486973], took 0.12min 2025-12-04T09:11:04.9637966Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_nestedtensor/test_nestedtensor-7e3f3f5cf782c1a8.xml 2025-12-04T09:11:08.1660938Z Running test_ops_jit 2/2 ... [2025-12-04 09:11:08.165607][2325.475442394] 2025-12-04T09:11:08.1661466Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:11:08.1664487Z Executing ['/opt/conda/envs/py_3.14/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 09:11:08.166065] 2025-12-04T09:11:08.9032193Z 2025-12-04T09:11:08.9033391Z test_ops_jit 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_jit_1.2_4e526bef1667979f_.log 2025-12-04T09:11:08.9034141Z Running 0 items in this shard: 2025-12-04T09:11:08.9034358Z 2025-12-04T09:11:08.9034606Z Finished test_ops_jit 1/2 ... [2025-12-04 09:11:08.903072][2326.212906899], took 0.10min 2025-12-04T09:11:08.9113097Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_jit/test_ops_jit-73f21c5b22c90119.xml 2025-12-04T09:11:12.0216006Z Running test_varlen_attention 1/1 ... [2025-12-04 09:11:12.021116][2329.33095129] 2025-12-04T09:11:12.0216600Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:11:12.0218721Z Executing ['/opt/conda/envs/py_3.14/bin/python', '-bb', 'test_varlen_attention.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 09:11:12.021536] 2025-12-04T09:11:14.1539799Z 2025-12-04T09:11:14.1541313Z test_ops_jit 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_jit_2.2_81ba377cb4e358f5_.log 2025-12-04T09:11:14.1542058Z Running 0 items in this shard: 2025-12-04T09:11:14.1542273Z 2025-12-04T09:11:14.1542534Z Finished test_ops_jit 2/2 ... [2025-12-04 09:11:14.153836][2331.463671785], took 0.10min 2025-12-04T09:11:14.1619887Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_gradients/test_ops_gradients-63a86210418783a5.xml 2025-12-04T09:11:14.1873613Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_jit/test_ops_jit-1e61157311980955.xml 2025-12-04T09:11:15.2112139Z 2025-12-04T09:11:15.2113507Z test_varlen_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_varlen_attention_1.1_26c397bbf23c4b26_.log 2025-12-04T09:11:15.2114372Z Running 0 items in this shard: 2025-12-04T09:11:15.2114576Z 2025-12-04T09:11:15.2114894Z Finished test_varlen_attention 1/1 ... [2025-12-04 09:11:15.211106][2332.520941275], took 0.05min 2025-12-04T09:11:15.2198928Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_varlen_attention/test_varlen_attention-a2ebd30bd569d253.xml 2025-12-04T09:11:15.9972969Z 2025-12-04T09:11:15.9974710Z test_ops_gradients 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_gradients_2.2_56ebb8ced0ced59f_.log 2025-12-04T09:11:15.9975964Z Running 0 items in this shard: 2025-12-04T09:11:15.9976323Z 2025-12-04T09:11:15.9977153Z Finished test_ops_gradients 2/2 ... [2025-12-04 09:11:15.997207][2333.307037839], took 0.23min 2025-12-04T09:11:18.1369375Z Running test batch 'tests to run' cost 1035.32 seconds 2025-12-04T09:11:18.1378935Z Emitting td_test_failure_stats_v2 2025-12-04T09:11:18.1384657Z Writing 1 documents to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764839478_314e15cad0f111f08cc50242ac110002 2025-12-04T09:11:18.2323675Z Done! Finish writing document to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764839478_314e15cad0f111f08cc50242ac110002 2025-12-04T09:11:18.2324685Z test_ci_sanity_check_fail 1/1 failed! 2025-12-04T09:11:19.4114136Z 2025-12-04T09:11:19.4114814Z real 17m19.019s 2025-12-04T09:11:19.4115113Z user 31m0.747s 2025-12-04T09:11:19.4115385Z sys 2m14.246s 2025-12-04T09:11:19.4115632Z + assert_git_not_dirty 2025-12-04T09:11:19.4115944Z + [[ linux-jammy-py3.14-clang12 != *rocm* ]] 2025-12-04T09:11:19.4116331Z + [[ linux-jammy-py3.14-clang12 != *xla* ]] 2025-12-04T09:11:19.4121151Z ++ git status --porcelain 2025-12-04T09:11:19.4121970Z ++ grep -v '?? third_party' 2025-12-04T09:11:49.4034125Z ++ true 2025-12-04T09:11:49.4036697Z + git_status= 2025-12-04T09:11:49.4037156Z + [[ -n '' ]] 2025-12-04T09:11:49.4037559Z + test_aten 2025-12-04T09:11:49.4037970Z + echo 'Running ATen tests with pytorch lib' 2025-12-04T09:11:49.4038548Z Running ATen tests with pytorch lib 2025-12-04T09:11:49.4039068Z + [[ -n '' ]] 2025-12-04T09:11:49.4039542Z + echo 'Running test with the build folder' 2025-12-04T09:11:49.4040018Z Running test with the build folder 2025-12-04T09:11:49.4040336Z + TEST_BASE_DIR=build/bin 2025-12-04T09:11:49.4040855Z + ln -sf /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libc10.so build/bin 2025-12-04T09:11:49.4068564Z + ln -sf '/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libcaffe2*' build/bin 2025-12-04T09:11:49.4082342Z + ln -sf '/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libmkldnn*' build/bin 2025-12-04T09:11:49.4095366Z + ln -sf '/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libnccl*' build/bin 2025-12-04T09:11:49.4119931Z + ln -sf /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libtorch.so /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libtorch_cpu.so /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libtorch_python.so /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libtorchbind_test.so build/bin 2025-12-04T09:11:49.4130933Z + ls build/bin 2025-12-04T09:11:49.4176246Z BackoffTest cpu_generator_test 2025-12-04T09:11:49.4176794Z CMakeFiles cpu_profiling_allocator_test 2025-12-04T09:11:49.4177416Z CTestTestfile.cmake cpu_rng_test 2025-12-04T09:11:49.4177802Z CppSignature_test dlconvertor_test 2025-12-04T09:11:49.4178180Z Dict_test example_allreduce 2025-12-04T09:11:49.4178533Z Dimname_test extension_backend_test 2025-12-04T09:11:49.4178980Z FileStoreTest half_test 2025-12-04T09:11:49.4179338Z HashStoreTest inline_container_test 2025-12-04T09:11:49.4179750Z IListRef_test ivalue_test 2025-12-04T09:11:49.4180426Z KernelFunction_test kernel_function_legacy_test 2025-12-04T09:11:49.4181111Z List_test kernel_function_test 2025-12-04T09:11:49.4181785Z MaybeOwned_test kernel_lambda_legacy_test 2025-12-04T09:11:49.4182418Z NamedTensor_test kernel_lambda_test 2025-12-04T09:11:49.4182867Z ProcessGroupGlooTest kernel_stackbased_test 2025-12-04T09:11:49.4183293Z StorageUtils_test lazy_tensor_test 2025-12-04T09:11:49.4183663Z TCPStoreTest legacy_vmap_test 2025-12-04T09:11:49.4184011Z apply_utils_test libc10.so 2025-12-04T09:11:49.4184339Z atest 'libcaffe2*' 2025-12-04T09:11:49.4184660Z backend_fallback_test 'libmkldnn*' 2025-12-04T09:11:49.4184990Z basic 'libnccl*' 2025-12-04T09:11:49.4185463Z broadcast_test libtorch.so 2025-12-04T09:11:49.4185831Z c10_AllocatorConfig_test libtorch_cpu.so 2025-12-04T09:11:49.4186231Z c10_ArrayRef_test libtorch_global_deps.so 2025-12-04T09:11:49.4186626Z c10_Bitset_test libtorch_python.so 2025-12-04T09:11:49.4187069Z c10_CompileTimeFunctionPointer_test libtorchbind_test.so 2025-12-04T09:11:49.4187610Z c10_ConstexprCrc_test make_boxed_from_unboxed_functor_test 2025-12-04T09:11:49.4188090Z c10_DeadlockDetection_test math_kernel_test 2025-12-04T09:11:49.4188504Z c10_DeviceGuard_test memory_format_test 2025-12-04T09:11:49.4188903Z c10_Device_test memory_overlapping_test 2025-12-04T09:11:49.4189311Z c10_DispatchKeySet_test mobile_memory_cleanup 2025-12-04T09:11:49.4189711Z c10_Enumerate_test native_test 2025-12-04T09:11:49.4190064Z c10_Half_test op_allowlist_test 2025-12-04T09:11:49.4190463Z c10_InlineDeviceGuard_test op_registration_test 2025-12-04T09:11:49.4190924Z c10_InlineStreamGuard_test operator_name_test 2025-12-04T09:11:49.4191345Z c10_IntrusiveList_test operators_test 2025-12-04T09:11:49.4191767Z c10_LeftRight_test packedtensoraccessor_test 2025-12-04T09:11:49.4192181Z c10_NetworkFlow_test parallel_benchmark 2025-12-04T09:11:49.4192552Z c10_Scalar_test pow_test 2025-12-04T09:11:49.4192870Z c10_Semaphore_test protoc 2025-12-04T09:11:49.4193213Z c10_SizesAndStrides_test protoc-3.13.0.0 2025-12-04T09:11:49.4193608Z c10_StreamGuard_test quantized_test 2025-12-04T09:11:49.4193970Z c10_SymInt_test reduce_ops_test 2025-12-04T09:11:49.4194352Z c10_Synchronized_test reportMemoryUsage_test 2025-12-04T09:11:49.4194775Z c10_ThreadLocal_test scalar_tensor_test 2025-12-04T09:11:49.4195148Z c10_TypeIndex_test scalar_test 2025-12-04T09:11:49.4195510Z c10_accumulate_test static_runtime_bench 2025-12-04T09:11:49.4195905Z c10_bfloat16_test static_runtime_test 2025-12-04T09:11:49.4196302Z c10_bit_cast_test stride_properties_test 2025-12-04T09:11:49.4196720Z c10_complex_math_test tensor_iterator_test 2025-12-04T09:11:49.4197108Z c10_complex_test test_aoti_abi_check 2025-12-04T09:11:49.4197460Z c10_cow_test test_api 2025-12-04T09:11:49.4197772Z c10_error_test test_cpp_rpc 2025-12-04T09:11:49.4198110Z c10_exception_test test_dist_autograd 2025-12-04T09:11:49.4198467Z c10_flags_test test_jit 2025-12-04T09:11:49.4198794Z c10_generic_math_test test_lazy 2025-12-04T09:11:49.4199153Z c10_intrusive_ptr_benchmark test_parallel 2025-12-04T09:11:49.4199561Z c10_intrusive_ptr_test test_vec_half_AVX2 2025-12-04T09:11:49.4200037Z c10_irange_test test_vec_half_AVX512 2025-12-04T09:11:49.4200420Z c10_lazy_test test_vec_half_DEFAULT 2025-12-04T09:11:49.4200774Z c10_logging_test thread_init_test 2025-12-04T09:11:49.4201137Z c10_nofatal_test torch_shm_manager 2025-12-04T09:11:49.4201503Z c10_optional_test type_ptr_test 2025-12-04T09:11:49.4202211Z c10_ordered_preserving_dict_test type_test 2025-12-04T09:11:49.4202613Z c10_registry_test undefined_tensor_test 2025-12-04T09:11:49.4203035Z c10_small_vector_test vec_test_all_types_AVX2 2025-12-04T09:11:49.4203442Z c10_ssize_test vec_test_all_types_AVX512 2025-12-04T09:11:49.4203869Z c10_string_util_test vec_test_all_types_DEFAULT 2025-12-04T09:11:49.4204298Z c10_string_view_test verify_api_visibility 2025-12-04T09:11:49.4204683Z c10_tempfile_test weakref_test 2025-12-04T09:11:49.4205013Z c10_typeid_test wrapdim_test 2025-12-04T09:11:49.4205365Z cmake_install.cmake xla_tensor_test 2025-12-04T09:11:49.4205717Z cpu_allocator_test 2025-12-04T09:11:49.4205981Z + aten/tools/run_tests.sh build/bin 2025-12-04T09:11:49.4206507Z + set -e 2025-12-04T09:11:49.4210034Z ++ dirname aten/tools/run_tests.sh 2025-12-04T09:11:49.4221811Z + VALGRIND_SUP=/var/lib/jenkins/workspace/aten/tools/valgrind.sup 2025-12-04T09:11:49.4222691Z + export CPP_TESTS_DIR=build/bin 2025-12-04T09:11:49.4223026Z + CPP_TESTS_DIR=build/bin 2025-12-04T09:11:49.4223308Z + VALGRIND=ON 2025-12-04T09:11:49.4225199Z + 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 2025-12-04T09:11:51.6943081Z No TD results found 2025-12-04T09:11:51.6944165Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T09:11:51.7054375Z Found test times from artifacts 2025-12-04T09:11:51.7481547Z Found test times from artifacts 2025-12-04T09:11:51.7494988Z Running all tests 2025-12-04T09:11:51.7499843Z Running parallel tests on 3 processes 2025-12-04T09:11:51.7501441Z Name: tests to run (est. time: 0.0min) 2025-12-04T09:11:51.7502950Z Serial tests (0): 2025-12-04T09:11:51.7503420Z Parallel tests (19): 2025-12-04T09:11:51.7503702Z cpp/Dict_test 1/1 2025-12-04T09:11:51.7503985Z cpp/Dimname_test 1/1 2025-12-04T09:11:51.7504270Z cpp/NamedTensor_test 1/1 2025-12-04T09:11:51.7504584Z cpp/apply_utils_test 1/1 2025-12-04T09:11:51.7504887Z cpp/atest 1/1 2025-12-04T09:11:51.7505127Z cpp/basic 1/1 2025-12-04T09:11:51.7505393Z cpp/broadcast_test 1/1 2025-12-04T09:11:51.7505700Z cpp/cpu_generator_test 1/1 2025-12-04T09:11:51.7506002Z cpp/dlconvertor_test 1/1 2025-12-04T09:11:51.7506339Z cpp/extension_backend_test 1/1 2025-12-04T09:11:51.7506672Z cpp/lazy_tensor_test 1/1 2025-12-04T09:11:51.7507033Z cpp/legacy_vmap_test 1/1 2025-12-04T09:11:51.7507614Z cpp/native_test 1/1 2025-12-04T09:11:51.7508147Z cpp/operators_test 1/1 2025-12-04T09:11:51.7508617Z cpp/scalar_tensor_test 1/1 2025-12-04T09:11:51.7508911Z cpp/scalar_test 1/1 2025-12-04T09:11:51.7509191Z cpp/tensor_iterator_test 1/1 2025-12-04T09:11:51.7509513Z cpp/undefined_tensor_test 1/1 2025-12-04T09:11:51.7509819Z cpp/wrapdim_test 1/1 2025-12-04T09:11:51.7510113Z Name: excluded (est. time: 0.0min) 2025-12-04T09:11:51.7510432Z Serial tests (0): 2025-12-04T09:11:51.7510679Z Parallel tests (0): 2025-12-04T09:11:51.7511073Z Running cpp/Dict_test 1/1 ... [2025-12-04 09:11:51.750537][2369.060375094] 2025-12-04T09:11:51.7511538Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:11:51.7511958Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:11:51.7512779Z Finished cpp/Dict_test 1/1 ... [2025-12-04 09:11:51.750703][2369.060543139], took 0.00min 2025-12-04T09:11:52.1012504Z Uploading artifacts took 0.34 seconds 2025-12-04T09:11:52.1013149Z Running cpp/Dimname_test 1/1 ... [2025-12-04 09:11:52.100928][2369.410765401] 2025-12-04T09:11:52.1013693Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:11:52.1014107Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:11:52.1014720Z Finished cpp/Dimname_test 1/1 ... [2025-12-04 09:11:52.101093][2369.410934287], took 0.00min 2025-12-04T09:11:52.1092296Z Running cpp/NamedTensor_test 1/1 ... [2025-12-04 09:11:52.108986][2369.418825176] 2025-12-04T09:11:52.1092817Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:11:52.1093231Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:11:52.1093863Z Finished cpp/NamedTensor_test 1/1 ... [2025-12-04 09:11:52.109154][2369.418991409], took 0.00min 2025-12-04T09:11:52.1170803Z Running cpp/apply_utils_test 1/1 ... [2025-12-04 09:11:52.116841][2369.426681312] 2025-12-04T09:11:52.1171309Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:11:52.1171725Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:11:52.1172339Z Finished cpp/apply_utils_test 1/1 ... [2025-12-04 09:11:52.116993][2369.42682993], took 0.00min 2025-12-04T09:11:52.1248326Z Running cpp/atest 1/1 ... [2025-12-04 09:11:52.124586][2369.434425471] 2025-12-04T09:11:52.1248783Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:11:52.1249193Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:11:52.1249761Z Finished cpp/atest 1/1 ... [2025-12-04 09:11:52.124740][2369.434577528], took 0.00min 2025-12-04T09:11:52.1326301Z Running cpp/basic 1/1 ... [2025-12-04 09:11:52.132381][2369.442221325] 2025-12-04T09:11:52.1327176Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:11:52.1327715Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:11:52.1328303Z Finished cpp/basic 1/1 ... [2025-12-04 09:11:52.132535][2369.442373652], took 0.00min 2025-12-04T09:11:52.1404240Z Running cpp/broadcast_test 1/1 ... [2025-12-04 09:11:52.140139][2369.449979405] 2025-12-04T09:11:52.1404723Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:11:52.1405308Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:11:52.1405918Z Finished cpp/broadcast_test 1/1 ... [2025-12-04 09:11:52.140355][2369.450195646], took 0.00min 2025-12-04T09:11:52.1482574Z Running cpp/cpu_generator_test 1/1 ... [2025-12-04 09:11:52.148002][2369.457841784] 2025-12-04T09:11:52.1483080Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:11:52.1483513Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:11:52.1484143Z Finished cpp/cpu_generator_test 1/1 ... [2025-12-04 09:11:52.148131][2369.457972876], took 0.00min 2025-12-04T09:11:52.1559921Z Running cpp/dlconvertor_test 1/1 ... [2025-12-04 09:11:52.155761][2369.465601448] 2025-12-04T09:11:52.1560561Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:11:52.1560999Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:11:52.1561622Z Finished cpp/dlconvertor_test 1/1 ... [2025-12-04 09:11:52.155892][2369.46573344], took 0.00min 2025-12-04T09:11:52.1638267Z Running cpp/extension_backend_test 1/1 ... [2025-12-04 09:11:52.163514][2369.473353383] 2025-12-04T09:11:52.1638825Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:11:52.1639252Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:11:52.1639903Z Finished cpp/extension_backend_test 1/1 ... [2025-12-04 09:11:52.163644][2369.473485373], took 0.00min 2025-12-04T09:11:52.1715082Z Running cpp/lazy_tensor_test 1/1 ... [2025-12-04 09:11:52.171262][2369.481101834] 2025-12-04T09:11:52.1715729Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:11:52.1716157Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:11:52.1716772Z Finished cpp/lazy_tensor_test 1/1 ... [2025-12-04 09:11:52.171391][2369.481232228], took 0.00min 2025-12-04T09:11:52.1791871Z Running cpp/legacy_vmap_test 1/1 ... [2025-12-04 09:11:52.178924][2369.488764122] 2025-12-04T09:11:52.1792380Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:11:52.1792808Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:11:52.1793432Z Finished cpp/legacy_vmap_test 1/1 ... [2025-12-04 09:11:52.179054][2369.48889505], took 0.00min 2025-12-04T09:11:52.1868909Z Running cpp/native_test 1/1 ... [2025-12-04 09:11:52.186680][2369.496520374] 2025-12-04T09:11:52.1869397Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:11:52.1869866Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:11:52.1870451Z Finished cpp/native_test 1/1 ... [2025-12-04 09:11:52.186811][2369.496652906], took 0.00min 2025-12-04T09:11:52.1946803Z Running cpp/operators_test 1/1 ... [2025-12-04 09:11:52.194434][2369.504273698] 2025-12-04T09:11:52.1947307Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:11:52.1947745Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:11:52.1948364Z Finished cpp/operators_test 1/1 ... [2025-12-04 09:11:52.194563][2369.504404788], took 0.00min 2025-12-04T09:11:52.2023911Z Running cpp/scalar_tensor_test 1/1 ... [2025-12-04 09:11:52.202174][2369.512014051] 2025-12-04T09:11:52.2024685Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:11:52.2025126Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:11:52.2025744Z Finished cpp/scalar_tensor_test 1/1 ... [2025-12-04 09:11:52.202302][2369.512143769], took 0.00min 2025-12-04T09:11:52.2100440Z Running cpp/scalar_test 1/1 ... [2025-12-04 09:11:52.209832][2369.519671642] 2025-12-04T09:11:52.2101027Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:11:52.2101453Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:11:52.2102381Z Finished cpp/scalar_test 1/1 ... [2025-12-04 09:11:52.209971][2369.519812489], took 0.00min 2025-12-04T09:11:52.2177663Z Running cpp/tensor_iterator_test 1/1 ... [2025-12-04 09:11:52.217549][2369.527389246] 2025-12-04T09:11:52.2178313Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:11:52.2178738Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:11:52.2179453Z Finished cpp/tensor_iterator_test 1/1 ... [2025-12-04 09:11:52.217678][2369.527519619], took 0.00min 2025-12-04T09:11:52.2256653Z Running cpp/undefined_tensor_test 1/1 ... [2025-12-04 09:11:52.225442][2369.535281751] 2025-12-04T09:11:52.2257300Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:11:52.2257716Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:11:52.2258370Z Finished cpp/undefined_tensor_test 1/1 ... [2025-12-04 09:11:52.225572][2369.535413335], took 0.00min 2025-12-04T09:11:52.2333593Z Running cpp/wrapdim_test 1/1 ... [2025-12-04 09:11:52.233143][2369.542982803] 2025-12-04T09:11:52.2334198Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:11:52.2334616Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:11:52.2335229Z Finished cpp/wrapdim_test 1/1 ... [2025-12-04 09:11:52.233278][2369.543118941], took 0.00min 2025-12-04T09:11:54.6205615Z Running cpp/Dict_test 1/1 ... [2025-12-04 09:11:54.620063][2371.929898525] 2025-12-04T09:11:54.6206428Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:11:54.6207191Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:11:54.6208194Z Finished cpp/Dict_test 1/1 ... [2025-12-04 09:11:54.620384][2371.930222555], took 0.00min 2025-12-04T09:11:54.6750406Z Running cpp/Dimname_test 1/1 ... [2025-12-04 09:11:54.674593][2371.984427693] 2025-12-04T09:11:54.6751113Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:11:54.6751697Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:11:54.6752554Z Finished cpp/Dimname_test 1/1 ... [2025-12-04 09:11:54.674773][2371.984612508], took 0.00min 2025-12-04T09:11:54.6757999Z Running cpp/NamedTensor_test 1/1 ... [2025-12-04 09:11:54.675497][2371.985332464] 2025-12-04T09:11:54.6758711Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:11:54.6759694Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:11:54.6760653Z Finished cpp/NamedTensor_test 1/1 ... [2025-12-04 09:11:54.675691][2371.985529863], took 0.00min 2025-12-04T09:11:57.8741085Z Running cpp/apply_utils_test 1/1 ... [2025-12-04 09:11:57.873629][2375.183463164] 2025-12-04T09:11:57.8741667Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:11:57.8742104Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:11:57.8742735Z Finished cpp/apply_utils_test 1/1 ... [2025-12-04 09:11:57.873801][2375.183640521], took 0.00min 2025-12-04T09:11:57.9180800Z Running cpp/atest 1/1 ... [2025-12-04 09:11:57.917664][2375.22749904] 2025-12-04T09:11:57.9181256Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:11:57.9181687Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:11:57.9182262Z Finished cpp/atest 1/1 ... [2025-12-04 09:11:57.917840][2375.227679842], took 0.00min 2025-12-04T09:11:57.9242875Z Running cpp/basic 1/1 ... [2025-12-04 09:11:57.924011][2375.233846207] 2025-12-04T09:11:57.9243373Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:11:57.9244044Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:11:57.9244627Z Finished cpp/basic 1/1 ... [2025-12-04 09:11:57.924202][2375.234041261], took 0.00min 2025-12-04T09:12:01.0954298Z Running cpp/broadcast_test 1/1 ... [2025-12-04 09:12:01.094988][2378.404822953] 2025-12-04T09:12:01.0954829Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:12:01.0955264Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:12:01.0955880Z Finished cpp/broadcast_test 1/1 ... [2025-12-04 09:12:01.095158][2378.40499837], took 0.00min 2025-12-04T09:12:01.1521765Z Running cpp/cpu_generator_test 1/1 ... [2025-12-04 09:12:01.151822][2378.461657587] 2025-12-04T09:12:01.1522279Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:12:01.1522709Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:12:01.1523364Z Finished cpp/cpu_generator_test 1/1 ... [2025-12-04 09:12:01.151988][2378.461827588], took 0.00min 2025-12-04T09:12:01.2073188Z Running cpp/dlconvertor_test 1/1 ... [2025-12-04 09:12:01.206948][2378.516781925] 2025-12-04T09:12:01.2073716Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:12:01.2074175Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:12:01.2074801Z Finished cpp/dlconvertor_test 1/1 ... [2025-12-04 09:12:01.207129][2378.516968348], took 0.00min 2025-12-04T09:12:04.4282557Z Running cpp/extension_backend_test 1/1 ... [2025-12-04 09:12:04.427765][2381.737599418] 2025-12-04T09:12:04.4283132Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:12:04.4283572Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:12:04.4284237Z Finished cpp/extension_backend_test 1/1 ... [2025-12-04 09:12:04.427941][2381.737780372], took 0.00min 2025-12-04T09:12:04.4413074Z Running cpp/lazy_tensor_test 1/1 ... [2025-12-04 09:12:04.440950][2381.750784776] 2025-12-04T09:12:04.4413569Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:12:04.4414051Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:12:04.4414670Z Finished cpp/lazy_tensor_test 1/1 ... [2025-12-04 09:12:04.441156][2381.750990323], took 0.00min 2025-12-04T09:12:04.5875063Z Running cpp/legacy_vmap_test 1/1 ... [2025-12-04 09:12:04.587047][2381.896881815] 2025-12-04T09:12:04.5875589Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:12:04.5876027Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:12:04.5876654Z Finished cpp/legacy_vmap_test 1/1 ... [2025-12-04 09:12:04.587270][2381.897107998], took 0.00min 2025-12-04T09:12:07.6930691Z Running cpp/native_test 1/1 ... [2025-12-04 09:12:07.692569][2385.002405074] 2025-12-04T09:12:07.6931571Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:12:07.6932309Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:12:07.6933327Z Finished cpp/native_test 1/1 ... [2025-12-04 09:12:07.692757][2385.002595137], took 0.00min 2025-12-04T09:12:07.7016768Z Running cpp/operators_test 1/1 ... [2025-12-04 09:12:07.701289][2385.011124139] 2025-12-04T09:12:07.7017367Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:12:07.7017817Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:12:07.7018464Z Finished cpp/operators_test 1/1 ... [2025-12-04 09:12:07.701485][2385.011322549], took 0.00min 2025-12-04T09:12:07.8404231Z Running cpp/scalar_tensor_test 1/1 ... [2025-12-04 09:12:07.839952][2385.149786421] 2025-12-04T09:12:07.8404790Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:12:07.8405217Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:12:07.8405856Z Finished cpp/scalar_tensor_test 1/1 ... [2025-12-04 09:12:07.840178][2385.149994497], took 0.00min 2025-12-04T09:12:10.9765526Z Running cpp/scalar_test 1/1 ... [2025-12-04 09:12:10.976101][2388.285936046] 2025-12-04T09:12:10.9766079Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:12:10.9766656Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:12:10.9767417Z Finished cpp/scalar_test 1/1 ... [2025-12-04 09:12:10.976296][2388.286131587], took 0.00min 2025-12-04T09:12:10.9957828Z Running cpp/tensor_iterator_test 1/1 ... [2025-12-04 09:12:10.995418][2388.305253884] 2025-12-04T09:12:10.9958791Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:12:10.9959343Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:12:10.9960102Z Finished cpp/tensor_iterator_test 1/1 ... [2025-12-04 09:12:10.995606][2388.305441114], took 0.00min 2025-12-04T09:12:11.1425868Z Running cpp/undefined_tensor_test 1/1 ... [2025-12-04 09:12:11.142116][2388.451950998] 2025-12-04T09:12:11.1426442Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:12:11.1426864Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:12:11.1427532Z Finished cpp/undefined_tensor_test 1/1 ... [2025-12-04 09:12:11.142340][2388.452178472], took 0.00min 2025-12-04T09:12:14.2638580Z Running cpp/wrapdim_test 1/1 ... [2025-12-04 09:12:14.263382][2391.573217617] 2025-12-04T09:12:14.2639532Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:12:14.2640279Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:12:14.2641350Z Finished cpp/wrapdim_test 1/1 ... [2025-12-04 09:12:14.263547][2391.57338683], took 0.00min 2025-12-04T09:12:15.1907891Z Running test batch 'tests to run' cost 23.44 seconds 2025-12-04T09:12:16.0027986Z + run_if_exists tensor_interop_test 2025-12-04T09:12:16.0028721Z + local test_name=tensor_interop_test 2025-12-04T09:12:16.0029339Z + [[ -x build/bin/tensor_interop_test ]] 2025-12-04T09:12:16.0030095Z + echo 'Warning: tensor_interop_test does not exist.' 2025-12-04T09:12:16.0030816Z Warning: tensor_interop_test does not exist. 2025-12-04T09:12:16.0031338Z + run_if_exists cudnn_test 2025-12-04T09:12:16.0031695Z + local test_name=cudnn_test 2025-12-04T09:12:16.0032011Z + [[ -x build/bin/cudnn_test ]] 2025-12-04T09:12:16.0032336Z + echo 'Warning: cudnn_test does not exist.' 2025-12-04T09:12:16.0040013Z Warning: cudnn_test does not exist. 2025-12-04T09:12:16.0040569Z + run_if_exists cuda_generator_test 2025-12-04T09:12:16.0040915Z + local test_name=cuda_generator_test 2025-12-04T09:12:16.0041283Z + [[ -x build/bin/cuda_generator_test ]] 2025-12-04T09:12:16.0041688Z + echo 'Warning: cuda_generator_test does not exist.' 2025-12-04T09:12:16.0042115Z Warning: cuda_generator_test does not exist. 2025-12-04T09:12:16.0042488Z + run_if_exists apply_test 2025-12-04T09:12:16.0042823Z + local test_name=apply_test 2025-12-04T09:12:16.0043120Z + [[ -x build/bin/apply_test ]] 2025-12-04T09:12:16.0043460Z + echo 'Warning: apply_test does not exist.' 2025-12-04T09:12:16.0043827Z Warning: apply_test does not exist. 2025-12-04T09:12:16.0044148Z + run_if_exists stream_test 2025-12-04T09:12:16.0044451Z + local test_name=stream_test 2025-12-04T09:12:16.0044767Z + [[ -x build/bin/stream_test ]] 2025-12-04T09:12:16.0045089Z + echo 'Warning: stream_test does not exist.' 2025-12-04T09:12:16.0045454Z Warning: stream_test does not exist. 2025-12-04T09:12:16.0046060Z + run_if_exists cuda_half_test 2025-12-04T09:12:16.0046361Z + local test_name=cuda_half_test 2025-12-04T09:12:16.0046683Z + [[ -x build/bin/cuda_half_test ]] 2025-12-04T09:12:16.0047041Z + echo 'Warning: cuda_half_test does not exist.' 2025-12-04T09:12:16.0047428Z Warning: cuda_half_test does not exist. 2025-12-04T09:12:16.0047767Z + run_if_exists cuda_vectorized_test 2025-12-04T09:12:16.0048111Z + local test_name=cuda_vectorized_test 2025-12-04T09:12:16.0048467Z + [[ -x build/bin/cuda_vectorized_test ]] 2025-12-04T09:12:16.0048860Z + echo 'Warning: cuda_vectorized_test does not exist.' 2025-12-04T09:12:16.0049285Z Warning: cuda_vectorized_test does not exist. 2025-12-04T09:12:16.0049668Z + run_if_exists cuda_distributions_test 2025-12-04T09:12:16.0050028Z + local test_name=cuda_distributions_test 2025-12-04T09:12:16.0050404Z + [[ -x build/bin/cuda_distributions_test ]] 2025-12-04T09:12:16.0050828Z + echo 'Warning: cuda_distributions_test does not exist.' 2025-12-04T09:12:16.0051272Z Warning: cuda_distributions_test does not exist. 2025-12-04T09:12:16.0051660Z + run_if_exists cuda_optional_test 2025-12-04T09:12:16.0051994Z + local test_name=cuda_optional_test 2025-12-04T09:12:16.0052338Z + [[ -x build/bin/cuda_optional_test ]] 2025-12-04T09:12:16.0052826Z + echo 'Warning: cuda_optional_test does not exist.' 2025-12-04T09:12:16.0053239Z Warning: cuda_optional_test does not exist. 2025-12-04T09:12:16.0053619Z + run_if_exists cuda_tensor_interop_test 2025-12-04T09:12:16.0053974Z + local test_name=cuda_tensor_interop_test 2025-12-04T09:12:16.0054355Z + [[ -x build/bin/cuda_tensor_interop_test ]] 2025-12-04T09:12:16.0054785Z + echo 'Warning: cuda_tensor_interop_test does not exist.' 2025-12-04T09:12:16.0055227Z Warning: cuda_tensor_interop_test does not exist. 2025-12-04T09:12:16.0055620Z + run_if_exists cuda_complex_test 2025-12-04T09:12:16.0055948Z + local test_name=cuda_complex_test 2025-12-04T09:12:16.0056272Z + [[ -x build/bin/cuda_complex_test ]] 2025-12-04T09:12:16.0056656Z + echo 'Warning: cuda_complex_test does not exist.' 2025-12-04T09:12:16.0057060Z Warning: cuda_complex_test does not exist. 2025-12-04T09:12:16.0057429Z + run_if_exists cuda_complex_math_test 2025-12-04T09:12:16.0057764Z + local test_name=cuda_complex_math_test 2025-12-04T09:12:16.0058127Z + [[ -x build/bin/cuda_complex_math_test ]] 2025-12-04T09:12:16.0058535Z + echo 'Warning: cuda_complex_math_test does not exist.' 2025-12-04T09:12:16.0059090Z Warning: cuda_complex_math_test does not exist. 2025-12-04T09:12:16.0059468Z + run_if_exists cuda_cub_test 2025-12-04T09:12:16.0059782Z + local test_name=cuda_cub_test 2025-12-04T09:12:16.0060084Z + [[ -x build/bin/cuda_cub_test ]] 2025-12-04T09:12:16.0060438Z + echo 'Warning: cuda_cub_test does not exist.' 2025-12-04T09:12:16.0060816Z Warning: cuda_cub_test does not exist. 2025-12-04T09:12:16.0061171Z + run_if_exists cuda_atomic_ops_test 2025-12-04T09:12:16.0061502Z + local test_name=cuda_atomic_ops_test 2025-12-04T09:12:16.0061851Z + [[ -x build/bin/cuda_atomic_ops_test ]] 2025-12-04T09:12:16.0062250Z + echo 'Warning: cuda_atomic_ops_test does not exist.' 2025-12-04T09:12:16.0062654Z Warning: cuda_atomic_ops_test does not exist. 2025-12-04T09:12:16.0063022Z + run_if_exists cuda_allocator_test 2025-12-04T09:12:16.0063367Z + local test_name=cuda_allocator_test 2025-12-04T09:12:16.0063700Z + [[ -x build/bin/cuda_allocator_test ]] 2025-12-04T09:12:16.0064091Z + echo 'Warning: cuda_allocator_test does not exist.' 2025-12-04T09:12:16.0064507Z Warning: cuda_allocator_test does not exist. 2025-12-04T09:12:16.0064842Z + '[' ON == ON ']' 2025-12-04T09:12:16.0065578Z + valgrind --suppressions=/var/lib/jenkins/workspace/aten/tools/valgrind.sup --error-exitcode=1 build/bin/basic '--gtest_filter=-*CUDA' 2025-12-04T09:12:16.0323104Z ==10422== Memcheck, a memory error detector 2025-12-04T09:12:16.0323589Z ==10422== Copyright (C) 2002-2022, and GNU GPL'd, by Julian Seward et al. 2025-12-04T09:12:16.0324187Z ==10422== Using Valgrind-3.20.0 and LibVEX; rerun with -h for copyright info 2025-12-04T09:12:16.0325003Z ==10422== Command: build/bin/basic --gtest_filter=-*CUDA 2025-12-04T09:12:16.0325391Z ==10422== 2025-12-04T09:12:16.5999686Z ==10422== Warning: set address range perms: large range [0x4a4c000, 0x19cdb000) (defined) 2025-12-04T09:12:16.6000439Z ==10422== Warning: set address range perms: large range [0x5d2d000, 0x16d2d000) (defined) 2025-12-04T09:12:41.1806743Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc 2025-12-04T09:12:41.2111264Z Note: Google Test filter = -*CUDA 2025-12-04T09:12:41.2163962Z [==========] Running 6 tests from 1 test suite. 2025-12-04T09:12:41.2191665Z [----------] Global test environment set-up. 2025-12-04T09:12:41.2264858Z [----------] 6 tests from BasicTest 2025-12-04T09:12:41.2289607Z [ RUN ] BasicTest.BasicTestCPU 2025-12-04T09:12:42.7656218Z 611 ms 2025-12-04T09:12:42.8474100Z 52 ms 2025-12-04T09:12:42.9143767Z 59 ms 2025-12-04T09:12:43.6175565Z [ OK ] BasicTest.BasicTestCPU (2386 ms) 2025-12-04T09:12:43.6184605Z [ RUN ] BasicTest.BasicTestHalfCPU 2025-12-04T09:12:43.8362864Z 171 ms 2025-12-04T09:12:43.8881971Z 43 ms 2025-12-04T09:12:43.9490108Z 58 ms 2025-12-04T09:12:43.9995529Z [ OK ] BasicTest.BasicTestHalfCPU (380 ms) 2025-12-04T09:12:43.9997893Z [ RUN ] BasicTest.FactoryMethodsTest 2025-12-04T09:12:44.0321952Z [ OK ] BasicTest.FactoryMethodsTest (32 ms) 2025-12-04T09:12:44.0322381Z [ RUN ] BasicTest.BasicStdTestCPU 2025-12-04T09:12:44.1150347Z Simple example: called once 2025-12-04T09:12:44.2056442Z throw: call_once will retry 2025-12-04T09:12:44.2071427Z throw: call_once will retry 2025-12-04T09:12:44.2078207Z Didn't throw, call_once will not attempt again 2025-12-04T09:12:44.2497481Z [ OK ] BasicTest.BasicStdTestCPU (217 ms) 2025-12-04T09:12:44.2497874Z [ RUN ] BasicTest.TestForBlobResizeCPU 2025-12-04T09:12:44.2667989Z [ OK ] BasicTest.TestForBlobResizeCPU (17 ms) 2025-12-04T09:12:44.2668422Z [ RUN ] BasicTest.TestForBlobStridesResizeCPU 2025-12-04T09:12:44.2696930Z [ OK ] BasicTest.TestForBlobStridesResizeCPU (2 ms) 2025-12-04T09:12:44.2720313Z [----------] 6 tests from BasicTest (3041 ms total) 2025-12-04T09:12:44.2720596Z 2025-12-04T09:12:44.2733070Z [----------] Global test environment tear-down 2025-12-04T09:12:44.2762466Z [==========] 6 tests from 1 test suite ran. (3069 ms total) 2025-12-04T09:12:44.2775504Z [ PASSED ] 6 tests. 2025-12-04T09:12:46.3139187Z ==10422== 2025-12-04T09:12:46.3143319Z ==10422== HEAP SUMMARY: 2025-12-04T09:12:46.3143686Z ==10422== in use at exit: 432,243 bytes in 6,419 blocks 2025-12-04T09:12:46.3144231Z ==10422== total heap usage: 652,095 allocs, 645,676 frees, 198,314,693 bytes allocated 2025-12-04T09:12:46.3144690Z ==10422== 2025-12-04T09:12:46.3605211Z ==10422== LEAK SUMMARY: 2025-12-04T09:12:46.3605592Z ==10422== definitely lost: 0 bytes in 0 blocks 2025-12-04T09:12:46.3605999Z ==10422== indirectly lost: 0 bytes in 0 blocks 2025-12-04T09:12:46.3606393Z ==10422== possibly lost: 69,920 bytes in 2 blocks 2025-12-04T09:12:46.3606862Z ==10422== still reachable: 362,323 bytes in 6,417 blocks 2025-12-04T09:12:46.3607281Z ==10422== suppressed: 0 bytes in 0 blocks 2025-12-04T09:12:46.3607747Z ==10422== Rerun with --leak-check=full to see details of leaked memory 2025-12-04T09:12:46.3608193Z ==10422== 2025-12-04T09:12:46.3608536Z ==10422== For lists of detected and suppressed errors, rerun with: -s 2025-12-04T09:12:46.3609096Z ==10422== ERROR SUMMARY: 0 errors from 0 contexts (suppressed: 0 from 0) 2025-12-04T09:12:46.4074949Z + [[ -x build/bin/tensor_interop_test ]] 2025-12-04T09:12:46.4077117Z + [[ -n '' ]] 2025-12-04T09:12:46.4077418Z + assert_git_not_dirty 2025-12-04T09:12:46.4077714Z + [[ linux-jammy-py3.14-clang12 != *rocm* ]] 2025-12-04T09:12:46.4078086Z + [[ linux-jammy-py3.14-clang12 != *xla* ]] 2025-12-04T09:12:46.4084965Z ++ git status --porcelain 2025-12-04T09:12:46.4085836Z ++ grep -v '?? third_party' 2025-12-04T09:12:46.7233732Z ++ true 2025-12-04T09:12:46.7234711Z + git_status= 2025-12-04T09:12:46.7235348Z + [[ -n '' ]] 2025-12-04T09:12:46.7235606Z + test_libtorch 1 2025-12-04T09:12:46.7235862Z + local SHARD=1 2025-12-04T09:12:46.7236194Z + [[ default != \s\l\o\w ]] 2025-12-04T09:12:46.7236490Z + echo 'Testing libtorch' 2025-12-04T09:12:46.7236787Z Testing libtorch 2025-12-04T09:12:46.7237620Z + ln -sf /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libbackend_with_compiler.so /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/bin 2025-12-04T09:12:46.7251206Z + ln -sf /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libjitbackend_test.so /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/bin 2025-12-04T09:12:46.7264561Z + ln -sf /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libcaffe2_nvrtc.so /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/bin 2025-12-04T09:12:46.7278310Z + ln -sf /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libc10.so /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/bin 2025-12-04T09:12:46.7293139Z + ln -sf /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libshm /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libshm.so /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libshm_windows /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/bin 2025-12-04T09:12:46.7308046Z + ln -sf /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libtorch.so /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libtorch_cpu.so /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libtorch_python.so /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libtorchbind_test.so /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/bin 2025-12-04T09:12:46.7319743Z + ln -sf '/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/lib/libnvfuser*' /opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/bin 2025-12-04T09:12:46.7332949Z + export CPP_TESTS_DIR=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/bin 2025-12-04T09:12:46.7333642Z + CPP_TESTS_DIR=/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/bin 2025-12-04T09:12:46.7334121Z + [[ -z 1 ]] 2025-12-04T09:12:46.7334350Z + [[ 1 == \1 ]] 2025-12-04T09:12:46.7334591Z + test_libtorch_api 2025-12-04T09:12:46.7334931Z + MNIST_DIR=/var/lib/jenkins/workspace/test/cpp/api/mnist 2025-12-04T09:12:46.7335527Z + python tools/download_mnist.py --quiet -d /var/lib/jenkins/workspace/test/cpp/api/mnist 2025-12-04T09:12:46.7988025Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/train-images-idx3-ubyte.gz ... 2025-12-04T09:12:47.1673258Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/train-labels-idx1-ubyte.gz ... 2025-12-04T09:12:47.2007157Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/t10k-images-idx3-ubyte.gz ... 2025-12-04T09:12:47.2817536Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/t10k-labels-idx1-ubyte.gz ... 2025-12-04T09:12:47.3223432Z + [[ linux-jammy-py3.14-clang12 == *asan* ]] 2025-12-04T09:12:47.3223915Z + [[ linux-jammy-py3.14-clang12 == *slow-gradcheck* ]] 2025-12-04T09:12:47.3224296Z + OMP_NUM_THREADS=2 2025-12-04T09:12:47.3224724Z + TORCH_CPP_TEST_MNIST_PATH=/var/lib/jenkins/workspace/test/cpp/api/mnist 2025-12-04T09:12:47.3225373Z + python test/run_test.py --cpp --verbose -i cpp/test_api -k 'not IMethodTest' 2025-12-04T09:12:49.5825391Z No TD results found 2025-12-04T09:12:49.5826266Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T09:12:49.5937811Z Found test times from artifacts 2025-12-04T09:12:49.6372358Z Found test times from artifacts 2025-12-04T09:12:49.6386598Z Running all tests 2025-12-04T09:12:49.6390255Z Running parallel tests on 3 processes 2025-12-04T09:12:49.6390629Z Name: tests to run (est. time: 0.0min) 2025-12-04T09:12:49.6390962Z Serial tests (0): 2025-12-04T09:12:49.6391533Z Parallel tests (1): 2025-12-04T09:12:49.6391796Z cpp/test_api 1/1 2025-12-04T09:12:49.6392088Z Name: excluded (est. time: 0.0min) 2025-12-04T09:12:49.6392404Z Serial tests (0): 2025-12-04T09:12:49.6392652Z Parallel tests (0): 2025-12-04T09:12:49.6396291Z Running cpp/test_api 1/1 ... [2025-12-04 09:12:49.639387][2426.949224827] 2025-12-04T09:12:49.6396774Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:12:49.6397365Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:12:49.6397953Z Finished cpp/test_api 1/1 ... [2025-12-04 09:12:49.639579][2426.949418698], took 0.00min 2025-12-04T09:12:50.0798007Z Uploading artifacts took 0.43 seconds 2025-12-04T09:12:52.4109850Z Running cpp/test_api 1/1 ... [2025-12-04 09:12:52.410560][2429.720395] 2025-12-04T09:12:52.4110347Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:12:52.4110781Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:12:52.4111389Z Finished cpp/test_api 1/1 ... [2025-12-04 09:12:52.410729][2429.720568897], took 0.00min 2025-12-04T09:12:53.2368484Z Running test batch 'tests to run' cost 3.6 seconds 2025-12-04T09:12:54.0117640Z + [[ linux-jammy-py3.14-clang12 != *android* ]] 2025-12-04T09:12:54.0118091Z + [[ linux-jammy-py3.14-clang12 != *cuda* ]] 2025-12-04T09:12:54.0118747Z + [[ linux-jammy-py3.14-clang12 != *asan* ]] 2025-12-04T09:12:54.0119105Z + [[ linux-jammy-py3.14-clang12 != *s390x* ]] 2025-12-04T09:12:54.0119468Z + export CPP_TESTS_DIR=build/bin 2025-12-04T09:12:54.0119784Z + CPP_TESTS_DIR=build/bin 2025-12-04T09:12:54.0120201Z + python test/run_test.py --cpp --verbose -i cpp/static_runtime_test 2025-12-04T09:12:56.3003414Z No TD results found 2025-12-04T09:12:56.3004277Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T09:12:56.3113228Z Found test times from artifacts 2025-12-04T09:12:56.3541293Z Found test times from artifacts 2025-12-04T09:12:56.3556080Z Running all tests 2025-12-04T09:12:56.3559883Z Running parallel tests on 3 processes 2025-12-04T09:12:56.3560273Z Name: tests to run (est. time: 0.0min) 2025-12-04T09:12:56.3560604Z Serial tests (0): 2025-12-04T09:12:56.3560866Z Parallel tests (1): 2025-12-04T09:12:56.3561152Z cpp/static_runtime_test 1/1 2025-12-04T09:12:56.3561466Z Name: excluded (est. time: 0.0min) 2025-12-04T09:12:56.3561777Z Serial tests (0): 2025-12-04T09:12:56.3562020Z Parallel tests (0): 2025-12-04T09:12:56.3562456Z Running cpp/static_runtime_test 1/1 ... [2025-12-04 09:12:56.356040][2433.665878351] 2025-12-04T09:12:56.3562965Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:12:56.3563763Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:12:56.3564406Z Finished cpp/static_runtime_test 1/1 ... [2025-12-04 09:12:56.356202][2433.666043214], took 0.00min 2025-12-04T09:12:56.7469782Z Uploading artifacts took 0.38 seconds 2025-12-04T09:12:59.1231219Z Running cpp/static_runtime_test 1/1 ... [2025-12-04 09:12:59.122628][2436.432463806] 2025-12-04T09:12:59.1231958Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:12:59.1232537Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:12:59.1233329Z Finished cpp/static_runtime_test 1/1 ... [2025-12-04 09:12:59.122792][2436.432631758], took 0.00min 2025-12-04T09:12:59.9553930Z Running test batch 'tests to run' cost 3.6 seconds 2025-12-04T09:13:00.7415381Z + [[ -z 1 ]] 2025-12-04T09:13:00.7415682Z + [[ 1 == \2 ]] 2025-12-04T09:13:00.7415921Z + assert_git_not_dirty 2025-12-04T09:13:00.7416242Z + [[ linux-jammy-py3.14-clang12 != *rocm* ]] 2025-12-04T09:13:00.7416631Z + [[ linux-jammy-py3.14-clang12 != *xla* ]] 2025-12-04T09:13:00.7421705Z ++ git status --porcelain 2025-12-04T09:13:00.7422376Z ++ grep -v '?? third_party' 2025-12-04T09:13:01.0549560Z ++ true 2025-12-04T09:13:01.0549861Z + git_status= 2025-12-04T09:13:01.0550106Z + [[ -n '' ]] 2025-12-04T09:13:01.0550379Z + [[ linux-jammy-py3.14-clang12 == *xpu* ]] 2025-12-04T09:13:01.0551868Z + sccache_epilogue 2025-12-04T09:13:01.0552467Z + echo '::group::Sccache Compilation Log' 2025-12-04T09:13:01.0553136Z ##[group]Sccache Compilation Log 2025-12-04T09:13:01.0553508Z + echo '=================== sccache compilation log ===================' 2025-12-04T09:13:01.0553968Z =================== sccache compilation log =================== 2025-12-04T09:13:01.0554644Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log 2025-12-04T09:13:01.0709540Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ===========' 2025-12-04T09:13:01.0710295Z =========== If your build fails, please take a look at the log above for possible reasons =========== 2025-12-04T09:13:01.0710833Z + sccache --show-stats 2025-12-04T09:13:01.0743121Z Compile requests 182 2025-12-04T09:13:01.0743631Z Compile requests executed 58 2025-12-04T09:13:01.0743987Z Cache hits 21 2025-12-04T09:13:01.0744461Z Cache hits (C/C++) 21 2025-12-04T09:13:01.0744802Z Cache misses 37 2025-12-04T09:13:01.0745233Z Cache misses (C/C++) 37 2025-12-04T09:13:01.0745577Z Cache hits rate 36.21 % 2025-12-04T09:13:01.0746312Z Cache hits rate (C/C++) 36.21 % 2025-12-04T09:13:01.0746644Z Cache timeouts 0 2025-12-04T09:13:01.0747096Z Cache read errors 0 2025-12-04T09:13:01.0747434Z Forced recaches 0 2025-12-04T09:13:01.0747755Z Cache write errors 0 2025-12-04T09:13:01.0748154Z Cache errors 0 2025-12-04T09:13:01.0748535Z Compilations 37 2025-12-04T09:13:01.0748865Z Compilation failures 0 2025-12-04T09:13:01.0749228Z Non-cacheable compilations 0 2025-12-04T09:13:01.0749582Z Non-cacheable calls 0 2025-12-04T09:13:01.0749936Z Non-compilation calls 124 2025-12-04T09:13:01.0750355Z Unsupported compiler calls 0 2025-12-04T09:13:01.0750756Z Average cache write 0.037 s 2025-12-04T09:13:01.0751113Z Average compiler 13.682 s 2025-12-04T09:13:01.0751460Z Average cache read hit 0.059 s 2025-12-04T09:13:01.0751829Z Failed distributed compilations 0 2025-12-04T09:13:01.0752336Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-12-04T09:13:01.0752821Z Version (client) 0.10.0 2025-12-04T09:13:01.0753159Z + sccache --stop-server 2025-12-04T09:13:01.0768536Z Stopping sccache server... 2025-12-04T09:13:01.0772358Z Compile requests 182 2025-12-04T09:13:01.0772741Z Compile requests executed 58 2025-12-04T09:13:01.0773096Z Cache hits 21 2025-12-04T09:13:01.0773434Z Cache hits (C/C++) 21 2025-12-04T09:13:01.0773756Z Cache misses 37 2025-12-04T09:13:01.0774112Z Cache misses (C/C++) 37 2025-12-04T09:13:01.0774448Z Cache hits rate 36.21 % 2025-12-04T09:13:01.0774782Z Cache hits rate (C/C++) 36.21 % 2025-12-04T09:13:01.0775121Z Cache timeouts 0 2025-12-04T09:13:01.0775657Z Cache read errors 0 2025-12-04T09:13:01.0776122Z Forced recaches 0 2025-12-04T09:13:01.0776655Z Cache write errors 0 2025-12-04T09:13:01.0777125Z Cache errors 0 2025-12-04T09:13:01.0777458Z Compilations 37 2025-12-04T09:13:01.0777787Z Compilation failures 0 2025-12-04T09:13:01.0778139Z Non-cacheable compilations 0 2025-12-04T09:13:01.0778492Z Non-cacheable calls 0 2025-12-04T09:13:01.0778824Z Non-compilation calls 124 2025-12-04T09:13:01.0779254Z Unsupported compiler calls 0 2025-12-04T09:13:01.0779608Z Average cache write 0.037 s 2025-12-04T09:13:01.0780189Z Average compiler 13.682 s 2025-12-04T09:13:01.0780528Z Average cache read hit 0.059 s 2025-12-04T09:13:01.0780888Z Failed distributed compilations 0 2025-12-04T09:13:01.0781393Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-12-04T09:13:01.0781874Z Version (client) 0.10.0 2025-12-04T09:13:01.0782225Z + echo ::endgroup:: 2025-12-04T09:13:01.0782753Z ##[endgroup] 2025-12-04T09:13:01.0782992Z + cleanup_workspace 2025-12-04T09:13:01.0783508Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.' 2025-12-04T09:13:01.0784358Z sudo may print the following warning message that can be ignored. The chown command will still run. 2025-12-04T09:13:01.0785037Z + echo ' sudo: setrlimit(RLIMIT_STACK): Operation not permitted' 2025-12-04T09:13:01.0785540Z sudo: setrlimit(RLIMIT_STACK): Operation not permitted 2025-12-04T09:13:01.0786113Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42' 2025-12-04T09:13:01.0786754Z For more details refer to https://github.com/sudo-project/sudo/issues/42 2025-12-04T09:13:01.0787266Z + sudo chown -R 1000 /var/lib/jenkins/workspace 2025-12-04T09:13:01.8219735Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main 2025-12-04T09:13:01.8220276Z with: 2025-12-04T09:13:01.8220558Z benchmark-results-dir: test/test-reports 2025-12-04T09:13:01.8220901Z dry-run: false 2025-12-04T09:13:01.8221175Z schema-version: v3 2025-12-04T09:13:01.8221686Z github-token: *** 2025-12-04T09:13:01.8221946Z env: 2025-12-04T09:13:01.8222172Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:13:01.8222473Z HAS_NVIDIA_GPU: false 2025-12-04T09:13:01.8222958Z DOCKER_CONTAINER_ID: aff9be176700db803483f29767bd1586440296d873d32a36ec311e64b68b2ec9 2025-12-04T09:13:01.8223479Z ##[endgroup] 2025-12-04T09:13:01.8243025Z ##[group]Run set -eux 2025-12-04T09:13:01.8243339Z set -eux 2025-12-04T09:13:01.8243593Z  2025-12-04T09:13:01.8243820Z if [[ -n "" ]]; then 2025-12-04T09:13:01.8244124Z  source "" 2025-12-04T09:13:01.8244393Z fi 2025-12-04T09:13:01.8244826Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-12-04T09:13:01.8245601Z  2025-12-04T09:13:01.8245843Z DEVICE_NAME="" 2025-12-04T09:13:01.8246136Z DEVICE_TYPE="" 2025-12-04T09:13:01.8246413Z  2025-12-04T09:13:01.8246659Z if command -v nvidia-smi; then 2025-12-04T09:13:01.8247160Z  # NB: I'm using PyTorch here to get the device name, however, it needs to 2025-12-04T09:13:01.8247800Z  # install the correct version of PyTorch manually for now. Any PyTorch 2025-12-04T09:13:01.8248378Z  # version is fine, I just use 2.7.1 to satify PYPIDEP linter 2025-12-04T09:13:01.8248851Z  python3 -mpip install torch==2.7.1 2025-12-04T09:13:01.8249232Z elif command -v rocminfo; then 2025-12-04T09:13:01.8249713Z  # NB: Installing torch on ROCm runner with pip here causes CI to fail 2025-12-04T09:13:01.8250312Z  # with a memoryview is too large error only on MI300 runners. Is pip 2025-12-04T09:13:01.8250939Z  # version on ROCm runner there too old? As a workaround, let's use the 2025-12-04T09:13:01.8251482Z  # GPU device name coming from rocminfo instead 2025-12-04T09:13:01.8251865Z  DEVICE_NAME=rocm 2025-12-04T09:13:01.8252394Z  DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs) 2025-12-04T09:13:01.8252950Z fi 2025-12-04T09:13:01.8253189Z  2025-12-04T09:13:01.8253476Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV 2025-12-04T09:13:01.8253930Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-12-04T09:13:01.8263984Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:13:01.8264400Z env: 2025-12-04T09:13:01.8264654Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:13:01.8264955Z HAS_NVIDIA_GPU: false 2025-12-04T09:13:01.8265427Z DOCKER_CONTAINER_ID: aff9be176700db803483f29767bd1586440296d873d32a36ec311e64b68b2ec9 2025-12-04T09:13:01.8265995Z ##[endgroup] 2025-12-04T09:13:01.8303466Z + [[ -n '' ]] 2025-12-04T09:13:01.8304019Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-12-04T09:13:02.1534573Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T09:13:03.3394732Z Collecting boto3==1.35.33 2025-12-04T09:13:03.3570884Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-12-04T09:13:03.7014803Z Collecting psutil==7.0.0 2025-12-04T09:13:03.7051712Z Downloading psutil-7.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (277 kB) 2025-12-04T09:13:03.7358125Z Collecting pynvml==12.0.0 2025-12-04T09:13:03.7390989Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-12-04T09:13:03.7890354Z Collecting s3transfer<0.11.0,>=0.10.0 2025-12-04T09:13:03.7925572Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-12-04T09:13:03.7983008Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.33) (0.10.0) 2025-12-04T09:13:05.0415397Z Collecting botocore<1.36.0,>=1.35.33 2025-12-04T09:13:05.0451575Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-12-04T09:13:05.2969636Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-12-04T09:13:05.3004229Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-12-04T09:13:05.3100650Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (2.8.1) 2025-12-04T09:13:05.3112980Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.25.10) 2025-12-04T09:13:05.4691035Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.15.0) 2025-12-04T09:13:05.6155014Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-12-04T09:13:06.1623723Z Attempting uninstall: nvidia-ml-py 2025-12-04T09:13:06.1625186Z Found existing installation: nvidia-ml-py 11.525.84 2025-12-04T09:13:06.1639947Z Uninstalling nvidia-ml-py-11.525.84: 2025-12-04T09:13:06.1841226Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-12-04T09:13:06.2464923Z Attempting uninstall: psutil 2025-12-04T09:13:06.2465778Z Found existing installation: psutil 5.9.8 2025-12-04T09:13:06.2537793Z Uninstalling psutil-5.9.8: 2025-12-04T09:13:06.2544931Z Successfully uninstalled psutil-5.9.8 2025-12-04T09:13:06.4297420Z Successfully installed boto3-1.35.33 botocore-1.35.99 nvidia-ml-py-12.575.51 psutil-7.0.0 pynvml-12.0.0 s3transfer-0.10.4 2025-12-04T09:13:06.5609138Z + DEVICE_NAME= 2025-12-04T09:13:06.5609417Z + DEVICE_TYPE= 2025-12-04T09:13:06.5609665Z + command -v nvidia-smi 2025-12-04T09:13:06.5609948Z + command -v rocminfo 2025-12-04T09:13:06.5610213Z + echo DEVICE_NAME= 2025-12-04T09:13:06.5610456Z + echo DEVICE_TYPE= 2025-12-04T09:13:06.5634012Z ##[group]Run set -eux 2025-12-04T09:13:06.5634296Z set -eux 2025-12-04T09:13:06.5634541Z  2025-12-04T09:13:06.5634800Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-12-04T09:13:06.5635169Z  echo "Missing github-token input" 2025-12-04T09:13:06.5635517Z  exit 1 2025-12-04T09:13:06.5635757Z fi 2025-12-04T09:13:06.5643501Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:13:06.5643912Z env: 2025-12-04T09:13:06.5644154Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:13:06.5644434Z HAS_NVIDIA_GPU: false 2025-12-04T09:13:06.5644911Z DOCKER_CONTAINER_ID: aff9be176700db803483f29767bd1586440296d873d32a36ec311e64b68b2ec9 2025-12-04T09:13:06.5645447Z DEVICE_NAME: 2025-12-04T09:13:06.5645694Z DEVICE_TYPE: 2025-12-04T09:13:06.5646159Z GITHUB_TOKEN: *** 2025-12-04T09:13:06.5646414Z ##[endgroup] 2025-12-04T09:13:06.5674684Z + [[ -z *** ]] 2025-12-04T09:13:06.5719848Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-12-04T09:13:06.5720437Z with: 2025-12-04T09:13:06.5721042Z github-token: *** 2025-12-04T09:13:06.5721420Z env: 2025-12-04T09:13:06.5721702Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:13:06.5722127Z HAS_NVIDIA_GPU: false 2025-12-04T09:13:06.5722727Z DOCKER_CONTAINER_ID: aff9be176700db803483f29767bd1586440296d873d32a36ec311e64b68b2ec9 2025-12-04T09:13:06.5723308Z DEVICE_NAME: 2025-12-04T09:13:06.5723672Z DEVICE_TYPE: 2025-12-04T09:13:06.5724037Z ##[endgroup] 2025-12-04T09:13:06.5743971Z ##[group]Run set -eux 2025-12-04T09:13:06.5744366Z set -eux 2025-12-04T09:13:06.5744675Z  2025-12-04T09:13:06.5745329Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-12-04T09:13:06.5751780Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:13:06.5752321Z env: 2025-12-04T09:13:06.5752667Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:13:06.5753035Z HAS_NVIDIA_GPU: false 2025-12-04T09:13:06.5754054Z DOCKER_CONTAINER_ID: aff9be176700db803483f29767bd1586440296d873d32a36ec311e64b68b2ec9 2025-12-04T09:13:06.5754644Z DEVICE_NAME: 2025-12-04T09:13:06.5754961Z DEVICE_TYPE: 2025-12-04T09:13:06.5755535Z GITHUB_TOKEN: *** 2025-12-04T09:13:06.5755840Z ##[endgroup] 2025-12-04T09:13:06.5785067Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 19922814090 i-0e83b23e12799110f 2025-12-04T09:13:08.9620650Z setting job-id=57115580578 2025-12-04T09:13:08.9621669Z setting job-name=linux-jammy-py3.14-clang12 / test (default, 1, 5, linux.4xlarge, rerun_disabled_tests) 2025-12-04T09:13:08.9747790Z ##[group]Run set -eux 2025-12-04T09:13:08.9748233Z set -eux 2025-12-04T09:13:08.9748539Z  2025-12-04T09:13:08.9748889Z if [[ -n "" ]]; then 2025-12-04T09:13:08.9749223Z  source "" 2025-12-04T09:13:08.9749548Z fi 2025-12-04T09:13:08.9749900Z  2025-12-04T09:13:08.9750371Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-12-04T09:13:08.9751007Z  --schema-version "${SCHEMA_VERSION}" \ 2025-12-04T09:13:08.9751502Z  --repo "${REPO}" \ 2025-12-04T09:13:08.9751899Z  --head-branch "${HEAD_BRANCH}" \ 2025-12-04T09:13:08.9752289Z  --head-sha "${HEAD_SHA}" \ 2025-12-04T09:13:08.9752805Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-12-04T09:13:08.9753268Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-12-04T09:13:08.9753658Z  --job-id "${JOB_ID}" \ 2025-12-04T09:13:08.9754098Z  --job-name "${JOB_NAME}" 2025-12-04T09:13:08.9760483Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:13:08.9761030Z env: 2025-12-04T09:13:08.9761298Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:13:08.9761650Z HAS_NVIDIA_GPU: false 2025-12-04T09:13:08.9762264Z DOCKER_CONTAINER_ID: aff9be176700db803483f29767bd1586440296d873d32a36ec311e64b68b2ec9 2025-12-04T09:13:08.9762841Z DEVICE_NAME: 2025-12-04T09:13:08.9763153Z DEVICE_TYPE: 2025-12-04T09:13:08.9763562Z SCHEMA_VERSION: v3 2025-12-04T09:13:08.9763866Z REPO: pytorch/pytorch 2025-12-04T09:13:08.9764212Z HEAD_BRANCH: refs/heads/main 2025-12-04T09:13:08.9764686Z HEAD_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:13:08.9765142Z WORKFLOW_RUN_ID: 19922814090 2025-12-04T09:13:08.9765454Z RUN_ATTEMPT: 1 2025-12-04T09:13:08.9765815Z JOB_ID: 57115580578 2025-12-04T09:13:08.9766387Z JOB_NAME: linux-jammy-py3.14-clang12 / test (default, 1, 5, linux.4xlarge, rerun_disabled_tests) 2025-12-04T09:13:08.9766954Z ##[endgroup] 2025-12-04T09:13:08.9795780Z + [[ -n '' ]] 2025-12-04T09:13:08.9798276Z + 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 19922814090 --run-attempt 1 --job-id 57115580578 --job-name 'linux-jammy-py3.14-clang12 / test (default, 1, 5, linux.4xlarge, rerun_disabled_tests)' 2025-12-04T09:13:09.0139513Z ##[group]Run set -eux 2025-12-04T09:13:09.0139812Z set -eux 2025-12-04T09:13:09.0140056Z  2025-12-04T09:13:09.0140282Z if [[ -n "" ]]; then 2025-12-04T09:13:09.0140578Z  source "" 2025-12-04T09:13:09.0140840Z fi 2025-12-04T09:13:09.0141060Z  2025-12-04T09:13:09.0141484Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-12-04T09:13:09.0147783Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:13:09.0148191Z env: 2025-12-04T09:13:09.0148417Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:13:09.0148713Z HAS_NVIDIA_GPU: false 2025-12-04T09:13:09.0149195Z DOCKER_CONTAINER_ID: aff9be176700db803483f29767bd1586440296d873d32a36ec311e64b68b2ec9 2025-12-04T09:13:09.0149885Z DEVICE_NAME: 2025-12-04T09:13:09.0150249Z DEVICE_TYPE: 2025-12-04T09:13:09.0150506Z ##[endgroup] 2025-12-04T09:13:09.0176972Z + [[ -n '' ]] 2025-12-04T09:13:09.0177863Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-12-04T09:13:09.0611325Z INFO:root:Fail to import torch to get the device name 2025-12-04T09:13:09.0719622Z ##[group]Run set -eux 2025-12-04T09:13:09.0719915Z set -eux 2025-12-04T09:13:09.0720162Z  2025-12-04T09:13:09.0720418Z # TODO (huydhn): Implement this part 2025-12-04T09:13:09.0720833Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:13:09.0727435Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:13:09.0727844Z env: 2025-12-04T09:13:09.0728085Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:13:09.0728362Z HAS_NVIDIA_GPU: false 2025-12-04T09:13:09.0728856Z DOCKER_CONTAINER_ID: aff9be176700db803483f29767bd1586440296d873d32a36ec311e64b68b2ec9 2025-12-04T09:13:09.0729402Z DEVICE_NAME: 2025-12-04T09:13:09.0729642Z DEVICE_TYPE: 2025-12-04T09:13:09.0729865Z ##[endgroup] 2025-12-04T09:13:09.0755830Z + echo 'dependencies={}' 2025-12-04T09:13:09.0777232Z ##[group]Run set -eux 2025-12-04T09:13:09.0777530Z set -eux 2025-12-04T09:13:09.0777775Z  2025-12-04T09:13:09.0778009Z if [[ -n "" ]]; then 2025-12-04T09:13:09.0778284Z  source "" 2025-12-04T09:13:09.0778541Z fi 2025-12-04T09:13:09.0778767Z  2025-12-04T09:13:09.0779131Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-12-04T09:13:09.0779616Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-12-04T09:13:09.0780144Z  # We don't want the job to fail if the directory doesn't exist 2025-12-04T09:13:09.0780575Z  exit 0 2025-12-04T09:13:09.0780808Z fi 2025-12-04T09:13:09.0781036Z  2025-12-04T09:13:09.0781322Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-12-04T09:13:09.0781824Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-12-04T09:13:09.0782422Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-12-04T09:13:09.0782903Z  --metadata "${BENCHMARK_METADATA}" \ 2025-12-04T09:13:09.0783286Z  --runners "${RUNNER_INFO}" \ 2025-12-04T09:13:09.0783648Z  --dependencies "${DEPENDENCIES}" \ 2025-12-04T09:13:09.0784012Z  --dry-run 2025-12-04T09:13:09.0784281Z else 2025-12-04T09:13:09.0784678Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-12-04T09:13:09.0785273Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-12-04T09:13:09.0785730Z  --metadata "${BENCHMARK_METADATA}" \ 2025-12-04T09:13:09.0786116Z  --runners "${RUNNER_INFO}" \ 2025-12-04T09:13:09.0786476Z  --dependencies "${DEPENDENCIES}" 2025-12-04T09:13:09.0786837Z fi 2025-12-04T09:13:09.0792626Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:13:09.0793026Z env: 2025-12-04T09:13:09.0793264Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:13:09.0793555Z HAS_NVIDIA_GPU: false 2025-12-04T09:13:09.0794019Z DOCKER_CONTAINER_ID: aff9be176700db803483f29767bd1586440296d873d32a36ec311e64b68b2ec9 2025-12-04T09:13:09.0794553Z DEVICE_NAME: 2025-12-04T09:13:09.0807463Z DEVICE_TYPE: 2025-12-04T09:13:09.0807833Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-12-04T09:13:09.0808180Z DRY_RUN: false 2025-12-04T09:13:09.0809650Z BENCHMARK_METADATA: {"timestamp": 1764839589, "schema_version": "v3", "name": "linux-jammy-py3.14-clang12 / test (default, 1, 5, linux.4xlarge, rerun_disabled_tests)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19922814090, "run_attempt": 1, "job_id": 57115580578} 2025-12-04T09:13:09.0811890Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 30, "extra_info": {"hostname": "ip-10-0-58-133.ec2.internal"}, "name": "", "type": ""}] 2025-12-04T09:13:09.0812590Z DEPENDENCIES: {} 2025-12-04T09:13:09.0812847Z ##[endgroup] 2025-12-04T09:13:09.0839344Z + [[ -n '' ]] 2025-12-04T09:13:09.0839591Z + [[ ! -d test/test-reports ]] 2025-12-04T09:13:09.0839905Z + [[ false == \t\r\u\e ]] 2025-12-04T09:13:09.0842924Z + 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": 1764839589, "schema_version": "v3", "name": "linux-jammy-py3.14-clang12 / test (default, 1, 5, linux.4xlarge, rerun_disabled_tests)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19922814090, "run_attempt": 1, "job_id": 57115580578}' --runners '[{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 30, "extra_info": {"hostname": "ip-10-0-58-133.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}' 2025-12-04T09:13:09.2341522Z /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-47faeced195a9db8c68d.json is not a benchmark record, skipping 2025-12-04T09:13:09.2343344Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T09:13:09.2427438Z /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': 'backends/xeon/test_launch'}, {'test_file': 'benchmark_utils/test_benchmark_utils'}, {'test_file': 'complex_tensor/test_complex_tensor'}, {'test_file': 'cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility'}, {'test_file': 'cpp_extensions/python_agnostic_extension/test/test_python_agnostic'}, {'test_file': 'cpp_extensions/test_libtorch_agnostic'}, {'test_file': 'distributions/test_constraints'}, {'test_file': 'distributions/test_distributions'}, {'test_file': 'doctests'}, {'test_file': 'dynamo/test_activation_checkpointing'}, {'test_file': 'dynamo/test_after_aot'}, {'test_file': 'dynamo/test_aot_autograd'}, {'test_file': 'dynamo/test_aot_autograd_cache'}, {'test_file': 'dynamo/test_aot_compile'}, {'test_file': 'dynamo/test_autograd_function'}, {'test_file': 'dynamo/test_backends'}, {'test_file': 'dynamo/test_backward_higher_order_ops'}, {'test_file': 'dynamo/test_base_hop'}, {'test_file': 'dynamo/test_base_output'}, {'test_file': 'dynamo/test_buffers_override'}, {'test_file': 'dynamo/test_bytecode_utils'}, {'test_file': 'dynamo/test_callback'}, {'test_file': 'dynamo/test_compile'}, {'test_file': 'dynamo/test_compiler_bisector'}, {'test_file': 'dynamo/test_comptime'}, {'test_file': 'dynamo/test_config'}, {'test_file': 'dynamo/test_ctx_manager'}, {'test_file': 'dynamo/test_cudagraphs'}, {'test_file': 'dynamo/test_cudagraphs_expandable_segments'}, {'test_file': 'dynamo/test_debug_utils'}, {'test_file': 'dynamo/test_decorators'}, {'test_file': 'dynamo/test_deque_reconstruct'}, {'test_file': 'dynamo/test_deviceguard'}, {'test_file': 'dynamo/test_dicts'}, {'test_file': 'dynamo/test_dynamic_shapes'}, {'test_file': 'dynamo/test_einops'}, {'test_file': 'dynamo/test_error_messages'}, {'test_file': 'dynamo/test_exc'}, {'test_file': 'dynamo/test_exceptions'}, {'test_file': 'dynamo/test_export'}, {'test_file': 'dynamo/test_export_mutations'}, {'test_file': 'dynamo/test_fake_distributed'}, {'test_file': 'dynamo/test_flat_apply'}, {'test_file': 'dynamo/test_frame_init'}, {'test_file': 'dynamo/test_functions'}, {'test_file': 'dynamo/test_fx_annotate'}, {'test_file': 'dynamo/test_fx_graph_runnable'}, {'test_file': 'dynamo/test_fx_passes_pre_grad'}, {'test_file': 'dynamo/test_generator'}, {'test_file': 'dynamo/test_global'}, {'test_file': 'dynamo/test_graph_deduplication'}, {'test_file': 'dynamo/test_graph_region_tracker'}, {'test_file': 'dynamo/test_guard_manager'}, {'test_file': 'dynamo/test_guard_serialization'}, {'test_file': 'dynamo/test_higher_order_ops'}, {'test_file': 'dynamo/test_hooks'}, {'test_file': 'dynamo/test_inline_and_install'}, {'test_file': 'dynamo/test_input_attr_tracking'}, {'test_file': 'dynamo/test_install_free_tensors'}, {'test_file': 'dynamo/test_interop'}, {'test_file': 'dynamo/test_list'}, {'test_file': 'dynamo/test_logging'}, {'test_file': 'dynamo/test_metrics_context'}, {'test_file': 'dynamo/test_minifier'}, {'test_file': 'dynamo/test_misc'}, {'test_file': 'dynamo/test_model_output'}, {'test_file': 'dynamo/test_modes'}, {'test_file': 'dynamo/test_modules'}, {'test_file': 'dynamo/test_nested_graph_breaks'}, {'test_file': 'dynamo/test_nops'}, {'test_file': 'dynamo/test_optimizers'}, {'test_file': 'dynamo/test_package'}, {'test_file': 'dynamo/test_pgo'}, {'test_file': 'dynamo/test_pre_dispatch'}, {'test_file': 'dynamo/test_precompile_context'}, {'test_file': 'dynamo/test_profiler'}, {'test_file': 'dynamo/test_python_autograd'}, {'test_file': 'dynamo/test_python_dispatcher'}, {'test_file': 'dynamo/test_recompile_ux'}, {'test_file': 'dynamo/test_recompiles'}, {'test_file': 'dynamo/test_reconstruct'}, {'test_file': 'dynamo/test_regional_inductor'}, {'test_file': 'dynamo/test_reorder_logs'}, {'test_file': 'dynamo/test_repros'}, {'test_file': 'dynamo/test_resume'}, {'test_file': 'dynamo/test_sdpa'}, {'test_file': 'dynamo/test_sets'}, {'test_file': 'dynamo/test_skip_guard_eval_unsafe'}, {'test_file': 'dynamo/test_skip_non_tensor'}, {'test_file': 'dynamo/test_sources'}, {'test_file': 'dynamo/test_streams'}, {'test_file': 'dynamo/test_structured_trace'}, {'test_file': 'dynamo/test_subclasses'}, {'test_file': 'dynamo/test_subgraphs'}, {'test_file': 'dynamo/test_torchrec'}, {'test_file': 'dynamo/test_trace_rules'}, {'test_file': 'dynamo/test_tree_map'}, {'test_file': 'dynamo/test_unittest'}, {'test_file': 'dynamo/test_unspec'}, {'test_file': 'dynamo/test_utils'}, {'test_file': 'dynamo/test_verify_correctness'}, {'test_file': 'dynamo/test_view'}, {'test_file': 'dynamo/test_wrap_inductor_compiled_regions'}, {'test_file': 'export/test_converter'}, {'test_file': 'export/test_cpp_serdes'}, {'test_file': 'export/test_db'}, {'test_file': 'export/test_draft_export'}, {'test_file': 'export/test_dynamic_shapes'}, {'test_file': 'export/test_experimental'}, {'test_file': 'export/test_export'}, {'test_file': 'export/test_export_opinfo'}, {'test_file': 'export/test_export_strict'}, {'test_file': 'export/test_export_training_ir_to_run_decomp'}, {'test_file': 'export/test_functionalized_assertions'}, {'test_file': 'export/test_hop'}, {'test_file': 'export/test_lift_unlift'}, {'test_file': 'export/test_nativert'}, {'test_file': 'export/test_package'}, {'test_file': 'export/test_pass_infra'}, {'test_file': 'export/test_passes'}, {'test_file': 'export/test_retraceability'}, {'test_file': 'export/test_schema'}, {'test_file': 'export/test_serdes'}, {'test_file': 'export/test_serialize'}, {'test_file': 'export/test_sparse'}, {'test_file': 'export/test_strict_export_v2'}, {'test_file': 'export/test_swap'}, {'test_file': 'export/test_tools'}, {'test_file': 'export/test_torchbind'}, {'test_file': 'export/test_tree_utils'}, {'test_file': 'export/test_unflatten'}, {'test_file': 'export/test_unflatten_training_ir'}, {'test_file': 'export/test_upgrader'}, {'test_file': 'export/test_verifier'}, {'test_file': 'functorch/dim/test_getsetitem'}, {'test_file': 'functorch/dim/test_split'}, {'test_file': 'functorch/test_ac'}, {'test_file': 'functorch/test_ac_knapsack'}, {'test_file': 'functorch/test_ac_logging'}, {'test_file': 'functorch/test_aot_joint_with_descriptors'}, {'test_file': 'functorch/test_aotdispatch'}, {'test_file': 'functorch/test_control_flow'}, {'test_file': 'functorch/test_eager_transforms'}, {'test_file': 'functorch/test_logging'}, {'test_file': 'functorch/test_minifier'}, {'test_file': 'functorch/test_ops'}, {'test_file': 'functorch/test_vmap'}, {'test_file': 'functorch/test_vmap_registrations'}, {'test_file': 'higher_order_ops/test_invoke_quant'}, {'test_file': 'higher_order_ops/test_invoke_subgraph'}, {'test_file': 'higher_order_ops/test_local_map'}, {'test_file': 'higher_order_ops/test_print'}, {'test_file': 'higher_order_ops/test_with_effects'}, {'test_file': 'inductor/test_alignment'}, {'test_file': 'inductor/test_analysis'}, {'test_file': 'inductor/test_aot_inductor'}, {'test_file': 'inductor/test_aot_inductor_arrayref'}, {'test_file': 'inductor/test_aot_inductor_custom_ops'}, {'test_file': 'inductor/test_aot_inductor_package'}, {'test_file': 'inductor/test_aot_inductor_utils'}, {'test_file': 'inductor/test_async_compile'}, {'test_file': 'inductor/test_augmented_graph_helper'}, {'test_file': 'inductor/test_auto_functionalize'}, {'test_file': 'inductor/test_autoheuristic'}, {'test_file': 'inductor/test_b2b_gemm'}, {'test_file': 'inductor/test_benchmark_fusion'}, {'test_file': 'inductor/test_benchmarking'}, {'test_file': 'inductor/test_best_config'}, {'test_file': 'inductor/test_binary_folding'}, {'test_file': 'inductor/test_block_analysis'}, {'test_file': 'inductor/test_cache'}, {'test_file': 'inductor/test_caching'}, {'test_file': 'inductor/test_ck_backend'}, {'test_file': 'inductor/test_codecache'}, {'test_file': 'inductor/test_codegen_triton'}, {'test_file': 'inductor/test_collective_autotuning'}, {'test_file': 'inductor/test_combo_kernels'}, {'test_file': 'inductor/test_compile'}, {'test_file': 'inductor/test_compile_subprocess'}, {'test_file': 'inductor/test_compile_worker'}, {'test_file': 'inductor/test_compiled_autograd'}, {'test_file': 'inductor/test_compiled_optimizers'}, {'test_file': 'inductor/test_config'}, {'test_file': 'inductor/test_control_deps'}, {'test_file': 'inductor/test_control_flow'}, {'test_file': 'inductor/test_cooperative_reductions'}, {'test_file': 'inductor/test_coordinate_descent_tuner'}, {'test_file': 'inductor/test_cpp_wrapper_hipify'}, {'test_file': 'inductor/test_cpu_cpp_wrapper'}, {'test_file': 'inductor/test_cpu_repro'}, {'test_file': 'inductor/test_cpu_select_algorithm'}, {'test_file': 'inductor/test_cuda_repro'}, {'test_file': 'inductor/test_cuda_select_algorithm'}, {'test_file': 'inductor/test_cudacodecache'}, {'test_file': 'inductor/test_cudagraph_trees'}, {'test_file': 'inductor/test_cudagraph_trees_expandable_segments'}, {'test_file': 'inductor/test_custom_lowering'}, {'test_file': 'inductor/test_custom_op_autotune'}, {'test_file': 'inductor/test_custom_partitioner_fn'}, {'test_file': 'inductor/test_custom_post_grad_passes'}, {'test_file': 'inductor/test_cutedsl_grouped_mm'}, {'test_file': 'inductor/test_cutedsl_template'}, {'test_file': 'inductor/test_cutlass_backend'}, {'test_file': 'inductor/test_cutlass_evt'}, {'test_file': 'inductor/test_debug_trace'}, {'test_file': 'inductor/test_decompose_mem_bound_mm'}, {'test_file': 'inductor/test_dependencies'}, {'test_file': 'inductor/test_deterministic'}, {'test_file': 'inductor/test_device_assert'}, {'test_file': 'inductor/test_distributed_patterns'}, {'test_file': 'inductor/test_efficient_conv_bn_eval'}, {'test_file': 'inductor/test_extension_backend'}, {'test_file': 'inductor/test_external_callables'}, {'test_file': 'inductor/test_flex_attention'}, {'test_file': 'inductor/test_flex_decoding'}, {'test_file': 'inductor/test_flex_flash'}, {'test_file': 'inductor/test_foreach'}, {'test_file': 'inductor/test_fp8'}, {'test_file': 'inductor/test_fused_attention'}, {'test_file': 'inductor/test_fuzzer'}, {'test_file': 'inductor/test_fx_fusion'}, {'test_file': 'inductor/test_fxir_backend'}, {'test_file': 'inductor/test_gpu_cpp_wrapper'}, {'test_file': 'inductor/test_graph_transform_observer'}, {'test_file': 'inductor/test_group_batch_fusion'}, {'test_file': 'inductor/test_halide'}, {'test_file': 'inductor/test_helion_kernels'}, {'test_file': 'inductor/test_indexing'}, {'test_file': 'inductor/test_inductor_annotations'}, {'test_file': 'inductor/test_inductor_freezing'}, {'test_file': 'inductor/test_inductor_scheduler'}, {'test_file': 'inductor/test_inductor_utils'}, {'test_file': 'inductor/test_inplace_padding'}, {'test_file': 'inductor/test_inplacing_pass'}, {'test_file': 'inductor/test_kernel_benchmark'}, {'test_file': 'inductor/test_kernel_optimization'}, {'test_file': 'inductor/test_layout_optim'}, {'test_file': 'inductor/test_lookup_table'}, {'test_file': 'inductor/test_loop_ordering'}, {'test_file': 'inductor/test_max_autotune'}, {'test_file': 'inductor/test_mem_estimation'}, {'test_file': 'inductor/test_memory'}, {'test_file': 'inductor/test_memory_planning'}, {'test_file': 'inductor/test_metrics'}, {'test_file': 'inductor/test_minifier'}, {'test_file': 'inductor/test_minifier_isolate'}, {'test_file': 'inductor/test_minifier_utils'}, {'test_file': 'inductor/test_mix_order_reduction'}, {'test_file': 'inductor/test_mkldnn_pattern_matcher'}, {'test_file': 'inductor/test_mmdecomp'}, {'test_file': 'inductor/test_move_constructors_to_gpu'}, {'test_file': 'inductor/test_mps_basic'}, {'test_file': 'inductor/test_multi_kernel'}, {'test_file': 'inductor/test_native_matmul'}, {'test_file': 'inductor/test_needs_exact_strides'}, {'test_file': 'inductor/test_online_softmax'}, {'test_file': 'inductor/test_op_completeness'}, {'test_file': 'inductor/test_op_dtype_prop'}, {'test_file': 'inductor/test_ordered_set'}, {'test_file': 'inductor/test_pad_mm'}, {'test_file': 'inductor/test_padding'}, {'test_file': 'inductor/test_pallas'}, {'test_file': 'inductor/test_pattern_matcher'}, {'test_file': 'inductor/test_perf'}, {'test_file': 'inductor/test_profiler'}, {'test_file': 'inductor/test_provenance_tracing'}, {'test_file': 'inductor/test_quantization'}, {'test_file': 'inductor/test_remote_cache'}, {'test_file': 'inductor/test_scatter_optimization'}, {'test_file': 'inductor/test_segmented_tree'}, {'test_file': 'inductor/test_select_algorithm'}, {'test_file': 'inductor/test_selective_lowering'}, {'test_file': 'inductor/test_smoke'}, {'test_file': 'inductor/test_snode_runtime'}, {'test_file': 'inductor/test_split_cat_fx_aten_passes'}, {'test_file': 'inductor/test_split_cat_fx_passes'}, 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{'test_file': 'test_mkl_verbose'}, {'test_file': 'test_mkldnn'}, {'test_file': 'test_mkldnn_fusion'}, {'test_file': 'test_mkldnn_verbose'}, {'test_file': 'test_mobile_optimizer'}, {'test_file': 'test_model_exports_to_core_aten'}, {'test_file': 'test_module_tracker'}, {'test_file': 'test_modules'}, {'test_file': 'test_monitor'}, {'test_file': 'test_multiprocessing'}, {'test_file': 'test_multiprocessing_spawn'}, {'test_file': 'test_namedtensor'}, {'test_file': 'test_namedtuple_return_api'}, {'test_file': 'test_native_functions'}, {'test_file': 'test_native_mha'}, {'test_file': 'test_nestedtensor'}, {'test_file': 'test_nn'}, {'test_file': 'test_numa_binding'}, {'test_file': 'test_numba_integration'}, {'test_file': 'test_numpy_interop'}, {'test_file': 'test_opaque_obj_v2'}, {'test_file': 'test_openmp'}, {'test_file': 'test_ops'}, {'test_file': 'test_ops_fwd_gradients'}, {'test_file': 'test_ops_gradients'}, {'test_file': 'test_ops_jit'}, {'test_file': 'test_optim'}, {'test_file': 'test_out_dtype_op'}, {'test_file': 'test_overrides'}, {'test_file': 'test_package'}, {'test_file': 'test_per_overload_api'}, {'test_file': 'test_prims'}, {'test_file': 'test_privateuseone_python_backend'}, {'test_file': 'test_proxy_tensor'}, {'test_file': 'test_pruning_op'}, {'test_file': 'test_public_bindings'}, {'test_file': 'test_python_dispatch'}, {'test_file': 'test_pytree'}, {'test_file': 'test_reductions'}, {'test_file': 'test_rename_privateuse1_to_existing_device'}, {'test_file': 'test_scaled_matmul_cuda'}, {'test_file': 'test_scatter_gather_ops'}, {'test_file': 'test_schema_check'}, {'test_file': 'test_segment_reductions'}, {'test_file': 'test_serialization'}, {'test_file': 'test_set_default_mobile_cpu_allocator'}, {'test_file': 'test_shape_ops'}, {'test_file': 'test_show_pickle'}, {'test_file': 'test_sort_and_select'}, {'test_file': 'test_sparse'}, {'test_file': 'test_sparse_csr'}, {'test_file': 'test_sparse_semi_structured'}, {'test_file': 'test_spectral_ops'}, {'test_file': 'test_stateless'}, {'test_file': 'test_subclass'}, {'test_file': 'test_sympy_utils'}, {'test_file': 'test_tensor_creation_ops'}, {'test_file': 'test_tensorboard'}, {'test_file': 'test_tensorexpr'}, {'test_file': 'test_tensorexpr_pybind'}, {'test_file': 'test_testing'}, {'test_file': 'test_torch'}, {'test_file': 'test_torchfuzz_repros'}, {'test_file': 'test_transformers'}, {'test_file': 'test_type_hints'}, {'test_file': 'test_type_info'}, {'test_file': 'test_type_promotion'}, {'test_file': 'test_typing'}, {'test_file': 'test_unary_ufuncs'}, {'test_file': 'test_utils'}, {'test_file': 'test_utils_config_module'}, {'test_file': 'test_utils_filelock'}, {'test_file': 'test_varlen_attention'}, {'test_file': 'test_view_ops'}, {'test_file': 'test_vulkan'}, {'test_file': 'test_weak'}, {'test_file': 'test_xnnpack_integration'}, {'test_file': 'torch_np/numpy_tests/core/test_dlpack'}, {'test_file': 'torch_np/numpy_tests/core/test_dtype'}, {'test_file': 'torch_np/numpy_tests/core/test_einsum'}, {'test_file': 'torch_np/numpy_tests/core/test_getlimits'}, {'test_file': 'torch_np/numpy_tests/core/test_indexing'}, {'test_file': 'torch_np/numpy_tests/core/test_numeric'}, {'test_file': 'torch_np/numpy_tests/core/test_numerictypes'}, {'test_file': 'torch_np/numpy_tests/core/test_scalar_ctors'}, {'test_file': 'torch_np/numpy_tests/core/test_scalar_methods'}, {'test_file': 'torch_np/numpy_tests/core/test_scalarinherit'}, {'test_file': 'torch_np/numpy_tests/core/test_scalarmath'}, {'test_file': 'torch_np/numpy_tests/core/test_shape_base'}, {'test_file': 'torch_np/numpy_tests/fft/test_helper'}, {'test_file': 'torch_np/numpy_tests/fft/test_pocketfft'}, {'test_file': 'torch_np/numpy_tests/lib/test_arraypad'}, {'test_file': 'torch_np/numpy_tests/lib/test_arraysetops'}, {'test_file': 'torch_np/numpy_tests/lib/test_function_base'}, {'test_file': 'torch_np/numpy_tests/lib/test_histograms'}, {'test_file': 'torch_np/numpy_tests/lib/test_index_tricks'}, {'test_file': 'torch_np/numpy_tests/lib/test_shape_base_'}, {'test_file': 'torch_np/numpy_tests/lib/test_twodim_base'}, {'test_file': 'torch_np/numpy_tests/lib/test_type_check'}, {'test_file': 'torch_np/numpy_tests/linalg/test_linalg'}, {'test_file': 'torch_np/test_basic'}, {'test_file': 'torch_np/test_binary_ufuncs'}, {'test_file': 'torch_np/test_dtype'}, {'test_file': 'torch_np/test_function_base'}, {'test_file': 'torch_np/test_indexing'}, {'test_file': 'torch_np/test_ndarray_methods'}, {'test_file': 'torch_np/test_nep50_examples'}, {'test_file': 'torch_np/test_random'}, {'test_file': 'torch_np/test_reductions'}, {'test_file': 'torch_np/test_scalars_0D_arrays'}, {'test_file': 'torch_np/test_ufuncs_basic'}, {'test_file': 'torch_np/test_unary_ufuncs'}, {'test_file': 'typing/test_python_operators'}, {'test_file': 'xpu/test_conv'}, {'test_file': 'xpu/test_fusion'}, {'test_file': 'xpu/test_gemm'}], 'excluded': []} from test/test-reports/td_exclusions-a39f0dc59f664c243225.json is not a benchmark record, skipping 2025-12-04T09:13:09.2509337Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T09:13:09.2513559Z /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-c968185db19ee0778684.json is not a benchmark record, skipping 2025-12-04T09:13:09.2517674Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T09:13:09.2519395Z /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/test_api'}], 'excluded': []} from test/test-reports/td_exclusions-699dac05ccc7312e18a5.json is not a benchmark record, skipping 2025-12-04T09:13:09.2521105Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T09:13:09.2522863Z /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/static_runtime_test'}], 'excluded': []} from test/test-reports/td_exclusions-d1534432c0137f84040e.json is not a benchmark record, skipping 2025-12-04T09:13:09.2524609Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T09:13:09.2624865Z ##[group]Run cat test/**/*_toprint.log || true 2025-12-04T09:13:09.2625300Z cat test/**/*_toprint.log || true 2025-12-04T09:13:09.2631528Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:13:09.2631935Z env: 2025-12-04T09:13:09.2632157Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:13:09.2632449Z HAS_NVIDIA_GPU: false 2025-12-04T09:13:09.2632928Z DOCKER_CONTAINER_ID: aff9be176700db803483f29767bd1586440296d873d32a36ec311e64b68b2ec9 2025-12-04T09:13:09.2633455Z DEVICE_NAME: 2025-12-04T09:13:09.2633697Z DEVICE_TYPE: 2025-12-04T09:13:09.2633937Z ##[endgroup] 2025-12-04T09:13:09.2732212Z Test results will be stored in test-reports/python-pytest/test_ci_sanity_check_fail/test_ci_sanity_check_fail-b65fd52631cb6d05.xml 2025-12-04T09:13:09.2733029Z ============================= test session starts ============================== 2025-12-04T09:13:09.2733703Z platform linux -- Python 3.14.1, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.14/bin/python 2025-12-04T09:13:09.2734475Z cachedir: .pytest_cache 2025-12-04T09:13:09.2735133Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T09:13:09.2735868Z rootdir: /var/lib/jenkins/workspace 2025-12-04T09:13:09.2736195Z configfile: pytest.ini 2025-12-04T09:13:09.2736848Z 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 2025-12-04T09:13:09.2737581Z collecting ... collected 2 items 2025-12-04T09:13:09.2737954Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T09:13:09.2738336Z Running 0 items in this shard: 2025-12-04T09:13:09.2738549Z 2025-12-04T09:13:09.2739265Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ci_sanity_check_fail/test_ci_sanity_check_fail-b65fd52631cb6d05.xml - 2025-12-04T09:13:09.2740207Z ============================ no tests ran in 0.01s ============================= 2025-12-04T09:13:09.2766905Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-12-04T09:13:09.2767300Z kill "$MONITOR_SCRIPT_PID" 2025-12-04T09:13:09.2773311Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:13:09.2773727Z env: 2025-12-04T09:13:09.2773969Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:13:09.2774246Z HAS_NVIDIA_GPU: false 2025-12-04T09:13:09.2774723Z DOCKER_CONTAINER_ID: aff9be176700db803483f29767bd1586440296d873d32a36ec311e64b68b2ec9 2025-12-04T09:13:09.2775251Z DEVICE_NAME: 2025-12-04T09:13:09.2775480Z DEVICE_TYPE: 2025-12-04T09:13:09.2775734Z MONITOR_SCRIPT_PID: 44564 2025-12-04T09:13:09.2776019Z ##[endgroup] 2025-12-04T09:13:09.2802587Z /home/ec2-user/actions-runner/_work/_temp/1671005f-d2ef-4f5b-9b06-1cc4cc163fc6.sh: line 1: kill: (44564) - No such process 2025-12-04T09:13:09.2813553Z ##[error]Process completed with exit code 1. 2025-12-04T09:13:09.2961372Z Prepare all required actions 2025-12-04T09:13:09.2961831Z Getting action download info 2025-12-04T09:13:09.4688080Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-12-04T09:13:09.6877312Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-12-04T09:13:10.0741632Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-12-04T09:13:10.0742007Z with: 2025-12-04T09:13:10.0742325Z file-suffix: test-default-1-5-linux.4xlarge_57115580578 2025-12-04T09:13:10.0742741Z s3-bucket: gha-artifacts 2025-12-04T09:13:10.0743006Z env: 2025-12-04T09:13:10.0743233Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:13:10.0743520Z HAS_NVIDIA_GPU: false 2025-12-04T09:13:10.0743987Z DOCKER_CONTAINER_ID: aff9be176700db803483f29767bd1586440296d873d32a36ec311e64b68b2ec9 2025-12-04T09:13:10.0744502Z DEVICE_NAME: 2025-12-04T09:13:10.0744756Z DEVICE_TYPE: 2025-12-04T09:13:10.0745042Z ##[endgroup] 2025-12-04T09:13:10.0770044Z ##[group]Run # Remove any previous test jsons if they exist 2025-12-04T09:13:10.0770532Z # Remove any previous test jsons if they exist 2025-12-04T09:13:10.0770930Z rm -f test-jsons-*.zip 2025-12-04T09:13:10.0771409Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-12-04T09:13:10.0777703Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:13:10.0778088Z env: 2025-12-04T09:13:10.0778315Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:13:10.0778590Z HAS_NVIDIA_GPU: false 2025-12-04T09:13:10.0779154Z DOCKER_CONTAINER_ID: aff9be176700db803483f29767bd1586440296d873d32a36ec311e64b68b2ec9 2025-12-04T09:13:10.0779681Z DEVICE_NAME: 2025-12-04T09:13:10.0779917Z DEVICE_TYPE: 2025-12-04T09:13:10.0780218Z FILE_SUFFIX: test-default-1-5-linux.4xlarge_57115580578 2025-12-04T09:13:10.0780598Z ##[endgroup] 2025-12-04T09:13:10.0928465Z adding: test/test-reports/td_exclusions-47faeced195a9db8c68d.json (deflated 16%) 2025-12-04T09:13:10.0929343Z adding: test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-1a840aed6afd6c7e.json (stored 0%) 2025-12-04T09:13:10.0930364Z adding: test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-cdc769aabdd674d5.json (stored 0%) 2025-12-04T09:13:10.0931564Z adding: test/test-reports/python-pytest/distributions.test_distributions/distributions.test_distributions-62cb08e3eb4a4efc.json (deflated 98%) 2025-12-04T09:13:10.0932846Z adding: test/test-reports/python-pytest/dynamo.test_fake_distributed/dynamo.test_fake_distributed-2eb2566c0181ed0e.json (stored 0%) 2025-12-04T09:13:10.0934053Z adding: 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test/test-reports/inductor.test_inplace_padding_1.1_256707d4a6959497_.log (stored 0%) 2025-12-04T09:13:10.1400003Z adding: test/test-reports/inductor.test_loop_ordering_1.1_11b946ef5702f015_.log (stored 0%) 2025-12-04T09:13:10.1400791Z adding: test/test-reports/inductor.test_minifier_isolate_1.1_b2999be02c768797_.log (stored 0%) 2025-12-04T09:13:10.1401908Z adding: test/test-reports/inductor.test_native_matmul_1.1_b7dba881894ec258_.log (stored 0%) 2025-12-04T09:13:10.1402682Z adding: test/test-reports/inductor.test_padding_1.1_49afc615bdd963f2_.log (stored 0%) 2025-12-04T09:13:10.1403427Z adding: test/test-reports/inductor.test_quantization_1.1_cc5f54b784a3b443_.log (stored 0%) 2025-12-04T09:13:10.1404359Z adding: test/test-reports/inductor.test_snode_runtime_1.1_b6bd9370b73f5d72_.log (stored 0%) 2025-12-04T09:13:10.1405131Z adding: test/test-reports/nn.attention.test_fa4_1.1_e1ad2cd45983bc23_.log (deflated 49%) 2025-12-04T09:13:10.1405978Z adding: test/test-reports/inductor.test_triton_extension_backend_1.1_39fc85b1759bfdff_.log (deflated 52%) 2025-12-04T09:13:10.1406832Z adding: test/test-reports/test_cuda_expandable_segments_1.1_8425add9d13dfc9e_.log (stored 0%) 2025-12-04T09:13:10.1407590Z adding: test/test-reports/test_jit_fuser_te_1.1_25e8e781017218c3_.log (deflated 18%) 2025-12-04T09:13:10.1408278Z adding: test/test-reports/test_monitor_1.1_03952a317fcfba5f_.log (deflated 48%) 2025-12-04T09:13:10.1409038Z adding: test/test-reports/test_namedtensor_1.1_34913d7947953229_.log (deflated 48%) 2025-12-04T09:13:10.1409767Z adding: test/test-reports/test_native_functions_1.1_51da860d756273e9_.log (deflated 49%) 2025-12-04T09:13:10.1410509Z adding: test/test-reports/test_nestedtensor_1.4_624c847d9e2e05cb_.log (deflated 49%) 2025-12-04T09:13:10.1411217Z adding: test/test-reports/test_ops_jit_1.2_4e526bef1667979f_.log (deflated 48%) 2025-12-04T09:13:10.1411869Z adding: test/test-reports/test_ops_jit_2.2_81ba377cb4e358f5_.log (deflated 48%) 2025-12-04T09:13:10.1412590Z adding: test/test-reports/test_varlen_attention_1.1_26c397bbf23c4b26_.log (deflated 49%) 2025-12-04T09:13:10.1413325Z adding: test/test-reports/test_ops_gradients_2.2_56ebb8ced0ced59f_.log (deflated 48%) 2025-12-04T09:13:10.1434699Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-12-04T09:13:10.1435286Z # Remove any previous debugging artifacts if they exist 2025-12-04T09:13:10.1435733Z rm -f debug-*.zip 2025-12-04T09:13:10.1436060Z if [ -d 'test/debug' ]; then 2025-12-04T09:13:10.1436434Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-12-04T09:13:10.1436810Z fi 2025-12-04T09:13:10.1442526Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:13:10.1442931Z env: 2025-12-04T09:13:10.1443168Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:13:10.1443460Z HAS_NVIDIA_GPU: false 2025-12-04T09:13:10.1443929Z DOCKER_CONTAINER_ID: aff9be176700db803483f29767bd1586440296d873d32a36ec311e64b68b2ec9 2025-12-04T09:13:10.1444465Z DEVICE_NAME: 2025-12-04T09:13:10.1444708Z DEVICE_TYPE: 2025-12-04T09:13:10.1445029Z FILE_SUFFIX: test-default-1-5-linux.4xlarge_57115580578 2025-12-04T09:13:10.1445407Z ##[endgroup] 2025-12-04T09:13:10.1528007Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T09:13:10.1528360Z with: 2025-12-04T09:13:10.1528605Z s3-bucket: gha-artifacts 2025-12-04T09:13:10.1528958Z s3-prefix: pytorch/pytorch/19922814090/1/artifact 2025-12-04T09:13:10.1529354Z retention-days: 14 2025-12-04T09:13:10.1529619Z if-no-files-found: warn 2025-12-04T09:13:10.1529916Z path: test-jsons-*.zip 2025-12-04T09:13:10.1530194Z name: artifact 2025-12-04T09:13:10.1530433Z region: us-east-1 2025-12-04T09:13:10.1530695Z env: 2025-12-04T09:13:10.1530930Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:13:10.1531214Z HAS_NVIDIA_GPU: false 2025-12-04T09:13:10.1531698Z DOCKER_CONTAINER_ID: aff9be176700db803483f29767bd1586440296d873d32a36ec311e64b68b2ec9 2025-12-04T09:13:10.1532234Z DEVICE_NAME: 2025-12-04T09:13:10.1532465Z DEVICE_TYPE: 2025-12-04T09:13:10.1532708Z ##[endgroup] 2025-12-04T09:13:10.5268364Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T09:13:10.5269205Z With the provided path, there will be 1 file uploaded 2025-12-04T09:13:10.5269915Z Uploading to s3 prefix: pytorch/pytorch/19922814090/1/artifact 2025-12-04T09:13:10.5322780Z Starting upload of test-jsons-test-default-1-5-linux.4xlarge_57115580578.zip 2025-12-04T09:13:10.6712808Z Finished upload of test-jsons-test-default-1-5-linux.4xlarge_57115580578.zip 2025-12-04T09:13:10.6922136Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T09:13:10.6922498Z with: 2025-12-04T09:13:10.6922742Z s3-bucket: gha-artifacts 2025-12-04T09:13:10.6923263Z s3-prefix: pytorch/pytorch/19922814090/1/artifact 2025-12-04T09:13:10.6923650Z retention-days: 14 2025-12-04T09:13:10.6923914Z if-no-files-found: error 2025-12-04T09:13:10.6924219Z path: test-reports-*.zip 2025-12-04T09:13:10.6924508Z name: artifact 2025-12-04T09:13:10.6924746Z region: us-east-1 2025-12-04T09:13:10.6924993Z env: 2025-12-04T09:13:10.6925225Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:13:10.6925501Z HAS_NVIDIA_GPU: false 2025-12-04T09:13:10.6925981Z DOCKER_CONTAINER_ID: aff9be176700db803483f29767bd1586440296d873d32a36ec311e64b68b2ec9 2025-12-04T09:13:10.6926517Z DEVICE_NAME: 2025-12-04T09:13:10.6926750Z DEVICE_TYPE: 2025-12-04T09:13:10.6926990Z ##[endgroup] 2025-12-04T09:13:11.0672799Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T09:13:11.0673319Z With the provided path, there will be 1 file uploaded 2025-12-04T09:13:11.0673815Z Uploading to s3 prefix: pytorch/pytorch/19922814090/1/artifact 2025-12-04T09:13:11.0722510Z Starting upload of test-reports-test-default-1-5-linux.4xlarge_57115580578.zip 2025-12-04T09:13:11.2006486Z Finished upload of test-reports-test-default-1-5-linux.4xlarge_57115580578.zip 2025-12-04T09:13:11.2211516Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T09:13:11.2211874Z with: 2025-12-04T09:13:11.2212122Z s3-bucket: gha-artifacts 2025-12-04T09:13:11.2212478Z s3-prefix: pytorch/pytorch/19922814090/1/artifact 2025-12-04T09:13:11.2212869Z retention-days: 14 2025-12-04T09:13:11.2213138Z if-no-files-found: ignore 2025-12-04T09:13:11.2213435Z path: logs-*.zip 2025-12-04T09:13:11.2213694Z name: artifact 2025-12-04T09:13:11.2213934Z region: us-east-1 2025-12-04T09:13:11.2214181Z env: 2025-12-04T09:13:11.2214415Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:13:11.2214708Z HAS_NVIDIA_GPU: false 2025-12-04T09:13:11.2215193Z DOCKER_CONTAINER_ID: aff9be176700db803483f29767bd1586440296d873d32a36ec311e64b68b2ec9 2025-12-04T09:13:11.2215727Z DEVICE_NAME: 2025-12-04T09:13:11.2215958Z DEVICE_TYPE: 2025-12-04T09:13:11.2216223Z ##[endgroup] 2025-12-04T09:13:11.5707616Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T09:13:11.5708130Z With the provided path, there will be 1 file uploaded 2025-12-04T09:13:11.5708636Z Uploading to s3 prefix: pytorch/pytorch/19922814090/1/artifact 2025-12-04T09:13:11.5758176Z Starting upload of logs-test-default-1-5-linux.4xlarge_57115580578.zip 2025-12-04T09:13:11.7157272Z Finished upload of logs-test-default-1-5-linux.4xlarge_57115580578.zip 2025-12-04T09:13:11.7376901Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T09:13:11.7377276Z with: 2025-12-04T09:13:11.7377503Z s3-bucket: gha-artifacts 2025-12-04T09:13:11.7377851Z s3-prefix: pytorch/pytorch/19922814090/1/artifact 2025-12-04T09:13:11.7378230Z retention-days: 14 2025-12-04T09:13:11.7378518Z if-no-files-found: ignore 2025-12-04T09:13:11.7378793Z path: debug-*.zip 2025-12-04T09:13:11.7379169Z name: artifact 2025-12-04T09:13:11.7379417Z region: us-east-1 2025-12-04T09:13:11.7379646Z env: 2025-12-04T09:13:11.7379899Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:13:11.7380190Z HAS_NVIDIA_GPU: false 2025-12-04T09:13:11.7380655Z DOCKER_CONTAINER_ID: aff9be176700db803483f29767bd1586440296d873d32a36ec311e64b68b2ec9 2025-12-04T09:13:11.7381189Z DEVICE_NAME: 2025-12-04T09:13:11.7381431Z DEVICE_TYPE: 2025-12-04T09:13:11.7381658Z ##[endgroup] 2025-12-04T09:13:12.0797601Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-12-04T09:13:12.1008318Z ##[group]Run # shellcheck disable=SC2156 2025-12-04T09:13:12.1008749Z # shellcheck disable=SC2156 2025-12-04T09:13:12.1009371Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-12-04T09:13:12.1015823Z shell: /usr/bin/bash -e {0} 2025-12-04T09:13:12.1016123Z env: 2025-12-04T09:13:12.1016340Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:13:12.1016631Z HAS_NVIDIA_GPU: false 2025-12-04T09:13:12.1017108Z DOCKER_CONTAINER_ID: aff9be176700db803483f29767bd1586440296d873d32a36ec311e64b68b2ec9 2025-12-04T09:13:12.1017804Z DEVICE_NAME: 2025-12-04T09:13:12.1018030Z DEVICE_TYPE: 2025-12-04T09:13:12.1018276Z ##[endgroup] 2025-12-04T09:13:12.4374294Z Prepare all required actions 2025-12-04T09:13:12.4374762Z Getting action download info 2025-12-04T09:13:12.5808857Z Download action repository 'actions/setup-python@v6' (SHA:83679a892e2d95755f2dac6acb0bfd1e9ac5d548) 2025-12-04T09:13:12.9879778Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-12-04T09:13:12.9880167Z with: 2025-12-04T09:13:12.9880398Z job_id: 57115580578 2025-12-04T09:13:12.9880894Z job_name: linux-jammy-py3.14-clang12 / test (default, 1, 5, linux.4xlarge, rerun_disabled_tests) 2025-12-04T09:13:12.9881461Z workflow_name: pull 2025-12-04T09:13:12.9881724Z workflow_run_id: 19922814090 2025-12-04T09:13:12.9882022Z workflow_attempt: 1 2025-12-04T09:13:12.9882282Z env: 2025-12-04T09:13:12.9882496Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:13:12.9882785Z HAS_NVIDIA_GPU: false 2025-12-04T09:13:12.9883284Z DOCKER_CONTAINER_ID: aff9be176700db803483f29767bd1586440296d873d32a36ec311e64b68b2ec9 2025-12-04T09:13:12.9883799Z DEVICE_NAME: 2025-12-04T09:13:12.9884092Z DEVICE_TYPE: 2025-12-04T09:13:12.9884312Z ##[endgroup] 2025-12-04T09:13:12.9923816Z ##[group]Run actions/setup-python@v6 2025-12-04T09:13:12.9924150Z with: 2025-12-04T09:13:12.9924391Z python-version: 3.10 2025-12-04T09:13:12.9924654Z check-latest: false 2025-12-04T09:13:12.9925061Z token: *** 2025-12-04T09:13:12.9925312Z update-environment: true 2025-12-04T09:13:12.9925614Z allow-prereleases: false 2025-12-04T09:13:12.9925888Z freethreaded: false 2025-12-04T09:13:12.9926146Z env: 2025-12-04T09:13:12.9926381Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:13:12.9926650Z HAS_NVIDIA_GPU: false 2025-12-04T09:13:12.9927122Z DOCKER_CONTAINER_ID: aff9be176700db803483f29767bd1586440296d873d32a36ec311e64b68b2ec9 2025-12-04T09:13:12.9927655Z DEVICE_NAME: 2025-12-04T09:13:12.9927881Z DEVICE_TYPE: 2025-12-04T09:13:12.9928126Z ##[endgroup] 2025-12-04T09:13:13.4174888Z ##[group]Installed versions 2025-12-04T09:13:13.4185214Z Version 3.10 was not found in the local cache 2025-12-04T09:13:13.4522121Z (node:56780) [DEP0040] DeprecationWarning: The `punycode` module is deprecated. Please use a userland alternative instead. 2025-12-04T09:13:13.4522980Z (Use `node --trace-deprecation ...` to show where the warning was created) 2025-12-04T09:13:13.9084788Z ##[error]The version '3.10' with architecture 'x64' was not found for this operating system. The list of all available versions can be found here: https://raw.githubusercontent.com/actions/python-versions/main/versions-manifest.json 2025-12-04T09:13:13.9316396Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-12-04T09:13:13.9316873Z with: 2025-12-04T09:13:13.9317095Z env: 2025-12-04T09:13:13.9317308Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:13:13.9317602Z HAS_NVIDIA_GPU: false 2025-12-04T09:13:13.9318075Z DOCKER_CONTAINER_ID: aff9be176700db803483f29767bd1586440296d873d32a36ec311e64b68b2ec9 2025-12-04T09:13:13.9318610Z DEVICE_NAME: 2025-12-04T09:13:13.9318852Z DEVICE_TYPE: 2025-12-04T09:13:13.9319088Z ##[endgroup] 2025-12-04T09:13:13.9336290Z ##[group]Run set -eou pipefail 2025-12-04T09:13:13.9336630Z set -eou pipefail 2025-12-04T09:13:13.9336921Z  2025-12-04T09:13:13.9337323Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-12-04T09:13:13.9337836Z for _ in $(seq 1440); do 2025-12-04T09:13:13.9338182Z  # Break if no ssh session exists anymore 2025-12-04T09:13:13.9338569Z  if [ "$(who)" = "" ]; then 2025-12-04T09:13:13.9339037Z  break 2025-12-04T09:13:13.9339292Z  fi 2025-12-04T09:13:13.9339547Z  echo "." 2025-12-04T09:13:13.9339823Z  sleep 5 2025-12-04T09:13:13.9340070Z done 2025-12-04T09:13:13.9346321Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:13:13.9346911Z env: 2025-12-04T09:13:13.9347155Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:13:13.9347443Z HAS_NVIDIA_GPU: false 2025-12-04T09:13:13.9347929Z DOCKER_CONTAINER_ID: aff9be176700db803483f29767bd1586440296d873d32a36ec311e64b68b2ec9 2025-12-04T09:13:13.9348475Z DEVICE_NAME: 2025-12-04T09:13:13.9348710Z DEVICE_TYPE: 2025-12-04T09:13:13.9348958Z ##[endgroup] 2025-12-04T09:13:13.9376628Z Holding runner for 2 hours until all ssh sessions have logged out 2025-12-04T09:13:13.9464255Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T09:13:13.9464851Z # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T09:13:13.9465325Z # shellcheck disable=SC2046 2025-12-04T09:13:13.9465691Z docker stop $(docker ps -q) || true 2025-12-04T09:13:13.9466068Z # Prune all of the docker images 2025-12-04T09:13:13.9466414Z docker system prune -af 2025-12-04T09:13:13.9472192Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:13:13.9472615Z env: 2025-12-04T09:13:13.9472834Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:13:13.9473125Z HAS_NVIDIA_GPU: false 2025-12-04T09:13:13.9473600Z DOCKER_CONTAINER_ID: aff9be176700db803483f29767bd1586440296d873d32a36ec311e64b68b2ec9 2025-12-04T09:13:13.9474119Z DEVICE_NAME: 2025-12-04T09:13:13.9474362Z DEVICE_TYPE: 2025-12-04T09:13:13.9474598Z ##[endgroup] 2025-12-04T09:13:24.8556051Z aff9be176700 2025-12-04T09:13:25.3052934Z Deleted Containers: 2025-12-04T09:13:25.3053409Z aff9be176700db803483f29767bd1586440296d873d32a36ec311e64b68b2ec9 2025-12-04T09:13:25.3053764Z 2025-12-04T09:13:28.1327401Z Deleted Images: 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[command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-12-04T09:13:29.0417969Z [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' || :" 2025-12-04T09:13:29.0761790Z Entering 'android/libs/fbjni' 2025-12-04T09:13:29.0809197Z http.https://github.com/.extraheader 2025-12-04T09:13:29.0849371Z Entering 'third_party/FP16' 2025-12-04T09:13:29.0894395Z http.https://github.com/.extraheader 2025-12-04T09:13:29.0933395Z Entering 'third_party/FXdiv' 2025-12-04T09:13:29.0978161Z http.https://github.com/.extraheader 2025-12-04T09:13:29.1018092Z Entering 'third_party/NNPACK' 2025-12-04T09:13:29.1062604Z http.https://github.com/.extraheader 2025-12-04T09:13:29.1102986Z Entering 'third_party/NVTX' 2025-12-04T09:13:29.1148537Z http.https://github.com/.extraheader 2025-12-04T09:13:29.1188397Z Entering 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http.https://github.com/.extraheader 2025-12-04T09:13:29.3829683Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T09:13:29.3872999Z http.https://github.com/.extraheader 2025-12-04T09:13:29.3912470Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T09:13:29.3955871Z http.https://github.com/.extraheader 2025-12-04T09:13:29.3997868Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T09:13:29.4042062Z http.https://github.com/.extraheader 2025-12-04T09:13:29.4081626Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T09:13:29.4127521Z http.https://github.com/.extraheader 2025-12-04T09:13:29.4166648Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T09:13:29.4211895Z http.https://github.com/.extraheader 2025-12-04T09:13:29.4250172Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 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