2025-12-04T08:56:24.8122227Z Current runner version: '2.330.0' 2025-12-04T08:56:24.8128614Z Runner name: 'i-0be29fe326b4d7d4d' 2025-12-04T08:56:24.8129389Z Runner group name: 'default' 2025-12-04T08:56:24.8130251Z Machine name: 'ip-10-0-50-155' 2025-12-04T08:56:24.8133142Z ##[group]GITHUB_TOKEN Permissions 2025-12-04T08:56:24.8135433Z Contents: read 2025-12-04T08:56:24.8136052Z Metadata: read 2025-12-04T08:56:24.8136699Z ##[endgroup] 2025-12-04T08:56:24.8138820Z Secret source: Actions 2025-12-04T08:56:24.8139696Z Prepare workflow directory 2025-12-04T08:56:24.8656891Z Prepare all required actions 2025-12-04T08:56:24.8697979Z Getting action download info 2025-12-04T08:56:25.1896188Z Download action repository 'pytorch/test-infra@main' (SHA:39aa74d619174326f4e2fb0e216151c2f29d9ffd) 2025-12-04T08:56:27.4174228Z Download action repository 'pytorch/pytorch@main' (SHA:eabb7ad2128580ef674446027b95bcf4e21e8df3) 2025-12-04T08:56:41.7403799Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-12-04T08:56:42.1020604Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-12-04T08:56:42.3105617Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-12-04T08:56:42.4768568Z Download action repository 'seemethere/download-artifact-s3@1da556a7aa0a088e3153970611f6c432d58e80e6' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-12-04T08:56:42.7300969Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-12-04T08:56:43.0311286Z Getting action download info 2025-12-04T08:56:43.1700513Z Download action repository 'actions/checkout@v4' (SHA:34e114876b0b11c390a56381ad16ebd13914f8d5) 2025-12-04T08:56:43.4547019Z Getting action download info 2025-12-04T08:56:43.5583536Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-12-04T08:56:43.7900510Z Getting action download info 2025-12-04T08:56:43.9097957Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-12-04T08:56:44.1291376Z Getting action download info 2025-12-04T08:56:44.2821867Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32) 2025-12-04T08:56:44.2826464Z ##[group] Inputs 2025-12-04T08:56:44.2826852Z build-environment: linux-jammy-py3.10-clang18-asan 2025-12-04T08:56:44.2830491Z test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 7, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 2, "num_shards": 7, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 3, "num_shards": 7, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 4, "num_shards": 7, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 5, "num_shards": 7, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 6, "num_shards": 7, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 7, "num_shards": 7, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "openreg", "shard": 1, "num_shards": 1, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}]} 2025-12-04T08:56:44.2834784Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:56:44.2835625Z sync-tag: asan-test 2025-12-04T08:56:44.2836457Z timeout-minutes: 240 2025-12-04T08:56:44.2836984Z use-gha: 2025-12-04T08:56:44.2837322Z dashboard-tag: 2025-12-04T08:56:44.2837561Z s3-bucket: gha-artifacts 2025-12-04T08:56:44.2837844Z aws-role-to-assume: 2025-12-04T08:56:44.2838465Z disable-monitor: false 2025-12-04T08:56:44.2838791Z monitor-log-interval: 5 2025-12-04T08:56:44.2839087Z monitor-data-collect-interval: 1 2025-12-04T08:56:44.2839419Z ##[endgroup] 2025-12-04T08:56:44.2839952Z Complete job name: linux-jammy-py3.10-clang18-asan / test (default, 1, 7, linux.4xlarge, rerun_disabled_tests) 2025-12-04T08:56:44.3358870Z A job started hook has been configured by the self-hosted runner administrator 2025-12-04T08:56:44.3462249Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-12-04T08:56:44.3471500Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:56:44.3472167Z ##[endgroup] 2025-12-04T08:56:45.5879054Z Runner Type: linux.4xlarge 2025-12-04T08:56:45.5879545Z Instance Type: c5.4xlarge 2025-12-04T08:56:45.5879821Z AMI Name: unknown 2025-12-04T08:56:45.5907794Z AMI ID: ami-08982f1c5bf93d976 2025-12-04T08:56:50.9619670Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-12-04T08:56:50.9620136Z with: 2025-12-04T08:56:50.9620699Z github-secret: *** 2025-12-04T08:56:50.9621439Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-12-04T08:56:50.9622247Z activate-with-label: false 2025-12-04T08:56:50.9622534Z label: with-ssh 2025-12-04T08:56:50.9622771Z remove-existing-keys: true 2025-12-04T08:56:50.9623055Z fail-silently: true 2025-12-04T08:56:50.9623308Z env: 2025-12-04T08:56:50.9623624Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:56:50.9623899Z ##[endgroup] 2025-12-04T08:56:51.1037241Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-12-04T08:56:51.1038387Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-12-04T08:56:51.1354953Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-12-04T08:56:51.1355413Z with: 2025-12-04T08:56:51.1355637Z no-sudo: true 2025-12-04T08:56:51.1355874Z submodules: recursive 2025-12-04T08:56:51.1356146Z fetch-depth: 0 2025-12-04T08:56:51.1356381Z env: 2025-12-04T08:56:51.1356590Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:56:51.1356858Z ##[endgroup] 2025-12-04T08:56:51.1430359Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:56:51.1431349Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:56:51.1440249Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:56:51.1440640Z env: 2025-12-04T08:56:51.1440877Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:56:51.1441183Z ##[endgroup] 2025-12-04T08:56:51.1522462Z ##[group]Run # Use all available CPUs for fetching 2025-12-04T08:56:51.1522933Z # Use all available CPUs for fetching 2025-12-04T08:56:51.1523289Z cd "${GITHUB_WORKSPACE}" 2025-12-04T08:56:51.1523625Z git config --global fetch.parallel 0 2025-12-04T08:56:51.1524026Z git config --global submodule.fetchJobs 0 2025-12-04T08:56:51.1524376Z  2025-12-04T08:56:51.1524742Z # Clean workspace. The default checkout action should also do this, but 2025-12-04T08:56:51.1525231Z # do it here as well just in case 2025-12-04T08:56:51.1525560Z if [[ -d .git ]]; then 2025-12-04T08:56:51.1525849Z  if [ -z "${NO_SUDO}" ]; then 2025-12-04T08:56:51.1526173Z  sudo git clean -ffdx 2025-12-04T08:56:51.1526465Z  else 2025-12-04T08:56:51.1526707Z  git clean -ffdx 2025-12-04T08:56:51.1526967Z  fi 2025-12-04T08:56:51.1527185Z fi 2025-12-04T08:56:51.1532884Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:56:51.1533431Z env: 2025-12-04T08:56:51.1533727Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:56:51.1534019Z NO_SUDO: true 2025-12-04T08:56:51.1534237Z ##[endgroup] 2025-12-04T08:56:51.1652377Z ##[group]Run actions/checkout@v4 2025-12-04T08:56:51.1652695Z with: 2025-12-04T08:56:51.1652944Z ref: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:56:51.1653296Z fetch-depth: 0 2025-12-04T08:56:51.1653543Z submodules: recursive 2025-12-04T08:56:51.1653794Z show-progress: false 2025-12-04T08:56:51.1654065Z repository: pytorch/pytorch 2025-12-04T08:56:51.1654482Z token: *** 2025-12-04T08:56:51.1654713Z ssh-strict: true 2025-12-04T08:56:51.1654942Z ssh-user: git 2025-12-04T08:56:51.1655187Z persist-credentials: true 2025-12-04T08:56:51.1655463Z clean: true 2025-12-04T08:56:51.1655710Z sparse-checkout-cone-mode: true 2025-12-04T08:56:51.1656013Z fetch-tags: false 2025-12-04T08:56:51.1656245Z lfs: false 2025-12-04T08:56:51.1656463Z set-safe-directory: true 2025-12-04T08:56:51.1656738Z env: 2025-12-04T08:56:51.1656961Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:56:51.1657208Z ##[endgroup] 2025-12-04T08:56:51.2721776Z Syncing repository: pytorch/pytorch 2025-12-04T08:56:51.2723148Z ##[group]Getting Git version info 2025-12-04T08:56:51.2723641Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-12-04T08:56:51.2724319Z [command]/usr/bin/git version 2025-12-04T08:56:51.2896891Z git version 2.50.1 2025-12-04T08:56:51.2921131Z ##[endgroup] 2025-12-04T08:56:51.2930636Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/7fda0f7e-7995-4921-bea5-b536ae266ae6/.gitconfig' 2025-12-04T08:56:51.2949370Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/7fda0f7e-7995-4921-bea5-b536ae266ae6' before making global git config changes 2025-12-04T08:56:51.2950376Z Adding repository directory to the temporary git global config as a safe directory 2025-12-04T08:56:51.2954392Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T08:56:51.3005410Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-12-04T08:56:51.3008181Z ##[group]Initializing the repository 2025-12-04T08:56:51.3012133Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T08:56:51.3073210Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-12-04T08:56:51.3073853Z hint: is subject to change. To configure the initial branch name to use in all 2025-12-04T08:56:51.3074428Z hint: of your new repositories, which will suppress this warning, call: 2025-12-04T08:56:51.3074895Z hint: 2025-12-04T08:56:51.3075197Z hint: git config --global init.defaultBranch 2025-12-04T08:56:51.3075543Z hint: 2025-12-04T08:56:51.3075888Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-12-04T08:56:51.3076492Z hint: 'development'. The just-created branch can be renamed via this command: 2025-12-04T08:56:51.3076956Z hint: 2025-12-04T08:56:51.3077185Z hint: git branch -m 2025-12-04T08:56:51.3077452Z hint: 2025-12-04T08:56:51.3077838Z hint: Disable this message with "git config set advice.defaultBranchName false" 2025-12-04T08:56:51.3082535Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-12-04T08:56:51.3090837Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-12-04T08:56:51.3125722Z ##[endgroup] 2025-12-04T08:56:51.3126179Z ##[group]Disabling automatic garbage collection 2025-12-04T08:56:51.3128906Z [command]/usr/bin/git config --local gc.auto 0 2025-12-04T08:56:51.3153450Z ##[endgroup] 2025-12-04T08:56:51.3153847Z ##[group]Setting up auth 2025-12-04T08:56:51.3159489Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-12-04T08:56:51.3184441Z [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' || :" 2025-12-04T08:56:51.3510342Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-12-04T08:56:51.3534949Z [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' || :" 2025-12-04T08:56:51.3825838Z [command]/usr/bin/git config --local --name-only --get-regexp ^includeIf\.gitdir: 2025-12-04T08:56:51.3852089Z [command]/usr/bin/git submodule foreach --recursive git config --local --show-origin --name-only --get-regexp remote.origin.url 2025-12-04T08:56:51.4116196Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-12-04T08:56:51.4156997Z ##[endgroup] 2025-12-04T08:56:51.4157448Z ##[group]Fetching the repository 2025-12-04T08:56:51.4164806Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-12-04T08:57:40.0990432Z From https://github.com/pytorch/pytorch 2025-12-04T08:57:40.0990973Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-12-04T08:57:40.0991574Z * [new branch] 2.9.1 -> origin/2.9.1 2025-12-04T08:57:40.0992157Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-12-04T08:57:40.0992810Z * [new branch] Flamefire-patch-1 -> origin/Flamefire-patch-1 2025-12-04T08:57:40.0993441Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-12-04T08:57:40.0994700Z * [new branch] HOPrintFunc -> origin/HOPrintFunc 2025-12-04T08:57:40.0996426Z * [new branch] IvanKobzarev/stack/1 -> origin/IvanKobzarev/stack/1 2025-12-04T08:57:40.0998131Z * [new branch] NicoshevSVE128 -> origin/NicoshevSVE128 2025-12-04T08:57:40.0999047Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-12-04T08:57:40.1000493Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-12-04T08:57:40.1001490Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-12-04T08:57:40.1002522Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-12-04T08:57:40.1003653Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-12-04T08:57:40.1004947Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-12-04T08:57:40.1006072Z * [new branch] VLA_exp -> origin/VLA_exp 2025-12-04T08:57:40.1007369Z * [new branch] activation_bench -> origin/activation_bench 2025-12-04T08:57:40.1008386Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-12-04T08:57:40.1010070Z * [new branch] adi/onednn_aarch64 -> origin/adi/onednn_aarch64 2025-12-04T08:57:40.1011198Z * [new branch] adi/test -> origin/adi/test 2025-12-04T08:57:40.1012414Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-12-04T08:57:40.1013454Z * [new branch] adi/test_m8g -> origin/adi/test_m8g 2025-12-04T08:57:40.1014667Z * [new branch] adi/test_onednn -> origin/adi/test_onednn 2025-12-04T08:57:40.1015746Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-12-04T08:57:40.1017028Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-12-04T08:57:40.1017975Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-12-04T08:57:40.1019474Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-12-04T08:57:40.1021441Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-12-04T08:57:40.1022623Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-12-04T08:57:40.1024155Z * [new branch] albanD-patch-1 -> origin/albanD-patch-1 2025-12-04T08:57:40.1025118Z * [new branch] also-surround-shimh -> origin/also-surround-shimh 2025-12-04T08:57:40.1026850Z * [new branch] angelayi/aot_compile -> origin/angelayi/aot_compile 2025-12-04T08:57:40.1028031Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-12-04T08:57:40.1029114Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-12-04T08:57:40.1030347Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-12-04T08:57:40.1031281Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-12-04T08:57:40.1032464Z * [new branch] angelayi/inductor_const -> origin/angelayi/inductor_const 2025-12-04T08:57:40.1033459Z * [new branch] angelayi/lstm -> origin/angelayi/lstm 2025-12-04T08:57:40.1035084Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-12-04T08:57:40.1036577Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-12-04T08:57:40.1037691Z * [new branch] angelayi/side_eff -> 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branch] zxiiro/c7i.2xlarge -> origin/zxiiro/c7i.2xlarge 2025-12-04T08:57:40.7135605Z * [new branch] zxiiro/c7i.2xlarge.h100 -> origin/zxiiro/c7i.2xlarge.h100 2025-12-04T08:57:40.7136697Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-12-04T08:57:40.7137804Z * [new branch] zxiiro/risc64 -> origin/zxiiro/risc64 2025-12-04T08:57:40.7139086Z * [new branch] zxiiro/test-multicloud-arc -> origin/zxiiro/test-multicloud-arc 2025-12-04T08:57:40.7140247Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-12-04T08:57:40.7140972Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-12-04T08:57:40.7142003Z * [new tag] ciflow/b200/115316 -> ciflow/b200/115316 2025-12-04T08:57:40.7142609Z * [new tag] ciflow/b200/160685 -> ciflow/b200/160685 2025-12-04T08:57:40.7143462Z * [new tag] ciflow/b200/161607 -> ciflow/b200/161607 2025-12-04T08:57:40.7144212Z * [new tag] ciflow/b200/161938 -> ciflow/b200/161938 2025-12-04T08:57:40.7145104Z * [new tag] ciflow/b200/167207 -> ciflow/b200/167207 2025-12-04T08:57:40.7145723Z * [new tag] ciflow/b200/167989 -> ciflow/b200/167989 2025-12-04T08:57:40.7146620Z * [new tag] ciflow/b200/168096 -> ciflow/b200/168096 2025-12-04T08:57:40.7147502Z * [new tag] ciflow/b200/168175 -> ciflow/b200/168175 2025-12-04T08:57:40.7148086Z * [new tag] ciflow/b200/168195 -> ciflow/b200/168195 2025-12-04T08:57:40.7149078Z * [new tag] ciflow/b200/169200 -> ciflow/b200/169200 2025-12-04T08:57:40.7149747Z * [new tag] ciflow/b200/169216 -> ciflow/b200/169216 2025-12-04T08:57:40.7150925Z * [new tag] ciflow/b200/169380 -> ciflow/b200/169380 2025-12-04T08:57:40.7152021Z * [new tag] ciflow/b200/169412 -> ciflow/b200/169412 2025-12-04T08:57:40.7152909Z * [new tag] ciflow/b200/169470 -> ciflow/b200/169470 2025-12-04T08:57:40.7153619Z * [new tag] ciflow/b200/169471 -> ciflow/b200/169471 2025-12-04T08:57:40.7154372Z * [new tag] ciflow/b200/169472 -> ciflow/b200/169472 2025-12-04T08:57:40.7155341Z * [new tag] ciflow/b200/169514 -> ciflow/b200/169514 2025-12-04T08:57:40.7156002Z * [new tag] ciflow/b200/169517 -> ciflow/b200/169517 2025-12-04T08:57:40.7157081Z * [new tag] ciflow/binaries/165922 -> ciflow/binaries/165922 2025-12-04T08:57:40.7157756Z * [new tag] ciflow/binaries/169510 -> ciflow/binaries/169510 2025-12-04T08:57:40.7158849Z * [new tag] ciflow/binaries_wheel/157994 -> ciflow/binaries_wheel/157994 2025-12-04T08:57:40.7159587Z * [new tag] ciflow/binaries_wheel/166829 -> ciflow/binaries_wheel/166829 2025-12-04T08:57:40.7160392Z * [new tag] ciflow/binaries_wheel/167972 -> ciflow/binaries_wheel/167972 2025-12-04T08:57:40.7161273Z * [new tag] ciflow/binaries_wheel/167981 -> ciflow/binaries_wheel/167981 2025-12-04T08:57:40.7162036Z * [new tag] ciflow/dynamo/167695 -> ciflow/dynamo/167695 2025-12-04T08:57:40.7162792Z * [new tag] ciflow/dynamo/168096 -> ciflow/dynamo/168096 2025-12-04T08:57:40.7163764Z * [new tag] ciflow/dynamo/169525 -> ciflow/dynamo/169525 2025-12-04T08:57:40.7164632Z * [new tag] ciflow/h100-cutlass-backend/161938 -> ciflow/h100-cutlass-backend/161938 2025-12-04T08:57:40.7165352Z * [new tag] ciflow/h100-cutlass-backend/161940 -> ciflow/h100-cutlass-backend/161940 2025-12-04T08:57:40.7166357Z * [new tag] ciflow/h100-distributed/168923 -> ciflow/h100-distributed/168923 2025-12-04T08:57:40.7167071Z * [new tag] ciflow/h100-symm-mem/167552 -> ciflow/h100-symm-mem/167552 2025-12-04T08:57:40.7167807Z * [new tag] ciflow/h100-symm-mem/168129 -> ciflow/h100-symm-mem/168129 2025-12-04T08:57:40.7168498Z * [new tag] ciflow/h100-symm-mem/168917 -> ciflow/h100-symm-mem/168917 2025-12-04T08:57:40.7169585Z * [new tag] ciflow/h100-symm-mem/169156 -> ciflow/h100-symm-mem/169156 2025-12-04T08:57:40.7173710Z * [new tag] ciflow/h100-symm-mem/169200 -> ciflow/h100-symm-mem/169200 2025-12-04T08:57:40.7174403Z * [new tag] ciflow/h100-symm-mem/169216 -> ciflow/h100-symm-mem/169216 2025-12-04T08:57:40.7175137Z * [new tag] ciflow/h100-symm-mem/169338 -> ciflow/h100-symm-mem/169338 2025-12-04T08:57:40.7176076Z * [new tag] ciflow/h100-symm-mem/169355 -> ciflow/h100-symm-mem/169355 2025-12-04T08:57:40.7176691Z * [new tag] ciflow/h100-symm-mem/169543 -> ciflow/h100-symm-mem/169543 2025-12-04T08:57:40.7177578Z * [new tag] ciflow/h100/115316 -> ciflow/h100/115316 2025-12-04T08:57:40.7178213Z * [new tag] ciflow/h100/160685 -> ciflow/h100/160685 2025-12-04T08:57:40.7178924Z * [new tag] ciflow/h100/160729 -> ciflow/h100/160729 2025-12-04T08:57:40.7179623Z * [new tag] ciflow/h100/161607 -> ciflow/h100/161607 2025-12-04T08:57:40.7180326Z * [new tag] ciflow/h100/161938 -> ciflow/h100/161938 2025-12-04T08:57:40.7181009Z * [new tag] ciflow/h100/167207 -> ciflow/h100/167207 2025-12-04T08:57:40.7181837Z * [new tag] ciflow/h100/167989 -> ciflow/h100/167989 2025-12-04T08:57:40.7182417Z * [new tag] ciflow/h100/168096 -> ciflow/h100/168096 2025-12-04T08:57:40.7183119Z * [new tag] ciflow/h100/168175 -> ciflow/h100/168175 2025-12-04T08:57:40.7183933Z * [new tag] ciflow/h100/168195 -> ciflow/h100/168195 2025-12-04T08:57:40.7184790Z * [new tag] ciflow/h100/168980 -> ciflow/h100/168980 2025-12-04T08:57:40.7185834Z * [new tag] ciflow/h100/169200 -> ciflow/h100/169200 2025-12-04T08:57:40.7186793Z * [new tag] ciflow/h100/169216 -> ciflow/h100/169216 2025-12-04T08:57:40.7187697Z * [new tag] ciflow/h100/169380 -> ciflow/h100/169380 2025-12-04T08:57:40.7188347Z * [new tag] ciflow/h100/169412 -> ciflow/h100/169412 2025-12-04T08:57:40.7189102Z * [new tag] ciflow/h100/169470 -> ciflow/h100/169470 2025-12-04T08:57:40.7189833Z * [new tag] ciflow/h100/169471 -> ciflow/h100/169471 2025-12-04T08:57:40.7190574Z * [new tag] ciflow/h100/169472 -> ciflow/h100/169472 2025-12-04T08:57:40.7191317Z * [new tag] ciflow/h100/169514 -> ciflow/h100/169514 2025-12-04T08:57:40.7192300Z * [new tag] ciflow/inductor-cu126/168096 -> ciflow/inductor-cu126/168096 2025-12-04T08:57:40.7193557Z * [new tag] ciflow/inductor-micro-benchmark-cpu-x86/168096 -> ciflow/inductor-micro-benchmark-cpu-x86/168096 2025-12-04T08:57:40.7194243Z * [new tag] ciflow/inductor-micro-benchmark/166165 -> ciflow/inductor-micro-benchmark/166165 2025-12-04T08:57:40.7194972Z * [new tag] ciflow/inductor-micro-benchmark/168096 -> ciflow/inductor-micro-benchmark/168096 2025-12-04T08:57:40.7195964Z * [new tag] ciflow/inductor-perf-compare/168096 -> ciflow/inductor-perf-compare/168096 2025-12-04T08:57:40.7197252Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/168073 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168073 2025-12-04T08:57:40.7197901Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/168096 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168096 2025-12-04T08:57:40.7198770Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi300/169024 2025-12-04T08:57:40.7199669Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi355/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi355/169024 2025-12-04T08:57:40.7200393Z * [new tag] ciflow/inductor-perf-test-nightly/168096 -> ciflow/inductor-perf-test-nightly/168096 2025-12-04T08:57:40.7201180Z * [new tag] ciflow/inductor-periodic/168096 -> ciflow/inductor-periodic/168096 2025-12-04T08:57:40.7201897Z * [new tag] ciflow/inductor-periodic/169024 -> ciflow/inductor-periodic/169024 2025-12-04T08:57:40.7202832Z * [new tag] ciflow/inductor-periodic/169425 -> ciflow/inductor-periodic/169425 2025-12-04T08:57:40.7203781Z * [new tag] ciflow/inductor-rocm-mi200/165545 -> ciflow/inductor-rocm-mi200/165545 2025-12-04T08:57:40.7204729Z * [new tag] ciflow/inductor-rocm-mi200/165997 -> ciflow/inductor-rocm-mi200/165997 2025-12-04T08:57:40.7205390Z * [new tag] ciflow/inductor-rocm-mi200/168096 -> ciflow/inductor-rocm-mi200/168096 2025-12-04T08:57:40.7206204Z * [new tag] ciflow/inductor-rocm-mi200/169063 -> ciflow/inductor-rocm-mi200/169063 2025-12-04T08:57:40.7206927Z * [new tag] ciflow/inductor-rocm-mi200/169425 -> ciflow/inductor-rocm-mi200/169425 2025-12-04T08:57:40.7207867Z * [new tag] ciflow/inductor-rocm-mi300/165545 -> ciflow/inductor-rocm-mi300/165545 2025-12-04T08:57:40.7208573Z * [new tag] ciflow/inductor-rocm-mi300/168096 -> ciflow/inductor-rocm-mi300/168096 2025-12-04T08:57:40.7209145Z * [new tag] ciflow/inductor-rocm-mi300/169063 -> ciflow/inductor-rocm-mi300/169063 2025-12-04T08:57:40.7209887Z * [new tag] ciflow/inductor-rocm-mi300/169425 -> ciflow/inductor-rocm-mi300/169425 2025-12-04T08:57:40.7210935Z * [new tag] ciflow/inductor-rocm/162052 -> ciflow/inductor-rocm/162052 2025-12-04T08:57:40.7211559Z * [new tag] ciflow/inductor-rocm/168971 -> ciflow/inductor-rocm/168971 2025-12-04T08:57:40.7212592Z * [new tag] ciflow/inductor-windows/168096 -> ciflow/inductor-windows/168096 2025-12-04T08:57:40.7213327Z * [new tag] ciflow/inductor/144542 -> ciflow/inductor/144542 2025-12-04T08:57:40.7214069Z * [new tag] ciflow/inductor/146506 -> ciflow/inductor/146506 2025-12-04T08:57:40.7214810Z * [new tag] ciflow/inductor/147990 -> ciflow/inductor/147990 2025-12-04T08:57:40.7215738Z * [new tag] ciflow/inductor/148294 -> ciflow/inductor/148294 2025-12-04T08:57:40.7216370Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-12-04T08:57:40.7217059Z * [new tag] ciflow/inductor/157149 -> ciflow/inductor/157149 2025-12-04T08:57:40.7217784Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-12-04T08:57:40.7218481Z * [new tag] ciflow/inductor/160685 -> ciflow/inductor/160685 2025-12-04T08:57:40.7219198Z * [new tag] ciflow/inductor/160686 -> ciflow/inductor/160686 2025-12-04T08:57:40.7219928Z * [new tag] ciflow/inductor/160687 -> ciflow/inductor/160687 2025-12-04T08:57:40.7220632Z * [new tag] ciflow/inductor/160688 -> ciflow/inductor/160688 2025-12-04T08:57:40.7221723Z * [new tag] ciflow/inductor/160706 -> ciflow/inductor/160706 2025-12-04T08:57:40.7222693Z * [new tag] ciflow/inductor/160729 -> ciflow/inductor/160729 2025-12-04T08:57:40.7223729Z * [new tag] ciflow/inductor/161938 -> ciflow/inductor/161938 2025-12-04T08:57:40.7224458Z * [new tag] ciflow/inductor/161939 -> ciflow/inductor/161939 2025-12-04T08:57:40.7225210Z * [new tag] ciflow/inductor/161940 -> ciflow/inductor/161940 2025-12-04T08:57:40.7225984Z * [new tag] ciflow/inductor/162052 -> ciflow/inductor/162052 2025-12-04T08:57:40.7226908Z * [new tag] ciflow/inductor/162275 -> ciflow/inductor/162275 2025-12-04T08:57:40.7227588Z * [new tag] ciflow/inductor/162795 -> ciflow/inductor/162795 2025-12-04T08:57:40.7228592Z * [new tag] ciflow/inductor/163245 -> ciflow/inductor/163245 2025-12-04T08:57:40.7229288Z * [new tag] ciflow/inductor/163335 -> ciflow/inductor/163335 2025-12-04T08:57:40.7230032Z * [new tag] ciflow/inductor/163503 -> ciflow/inductor/163503 2025-12-04T08:57:40.7230796Z * [new tag] ciflow/inductor/163942 -> ciflow/inductor/163942 2025-12-04T08:57:40.7231765Z * [new tag] ciflow/inductor/165270 -> ciflow/inductor/165270 2025-12-04T08:57:40.7232960Z * [new tag] ciflow/inductor/165274 -> ciflow/inductor/165274 2025-12-04T08:57:40.7233664Z * [new tag] ciflow/inductor/165322 -> ciflow/inductor/165322 2025-12-04T08:57:40.7234415Z * [new tag] ciflow/inductor/165597 -> ciflow/inductor/165597 2025-12-04T08:57:40.7235308Z * [new tag] ciflow/inductor/166063 -> ciflow/inductor/166063 2025-12-04T08:57:40.7235953Z * [new tag] ciflow/inductor/166075 -> ciflow/inductor/166075 2025-12-04T08:57:40.7236710Z * [new tag] ciflow/inductor/166165 -> ciflow/inductor/166165 2025-12-04T08:57:40.7237931Z * [new tag] ciflow/inductor/166254 -> ciflow/inductor/166254 2025-12-04T08:57:40.7238519Z * [new tag] ciflow/inductor/166483 -> ciflow/inductor/166483 2025-12-04T08:57:40.7239273Z * [new tag] ciflow/inductor/166494 -> ciflow/inductor/166494 2025-12-04T08:57:40.7240029Z * [new tag] ciflow/inductor/166545 -> ciflow/inductor/166545 2025-12-04T08:57:40.7240768Z * [new tag] ciflow/inductor/166788 -> ciflow/inductor/166788 2025-12-04T08:57:40.7241725Z * [new tag] ciflow/inductor/166846 -> ciflow/inductor/166846 2025-12-04T08:57:40.7242418Z * [new tag] ciflow/inductor/167300 -> ciflow/inductor/167300 2025-12-04T08:57:40.7243174Z * [new tag] ciflow/inductor/167407 -> ciflow/inductor/167407 2025-12-04T08:57:40.7244126Z * [new tag] ciflow/inductor/167536 -> ciflow/inductor/167536 2025-12-04T08:57:40.7244785Z * [new tag] ciflow/inductor/167552 -> ciflow/inductor/167552 2025-12-04T08:57:40.7245530Z * [new tag] ciflow/inductor/167555 -> ciflow/inductor/167555 2025-12-04T08:57:40.7246466Z * [new tag] ciflow/inductor/167583 -> ciflow/inductor/167583 2025-12-04T08:57:40.7247163Z * [new tag] ciflow/inductor/167599 -> ciflow/inductor/167599 2025-12-04T08:57:40.7247892Z * [new tag] ciflow/inductor/167647 -> ciflow/inductor/167647 2025-12-04T08:57:40.7248752Z * [new tag] ciflow/inductor/167677 -> ciflow/inductor/167677 2025-12-04T08:57:40.7249417Z * [new tag] ciflow/inductor/167680 -> ciflow/inductor/167680 2025-12-04T08:57:40.7250307Z * [new tag] ciflow/inductor/167695 -> ciflow/inductor/167695 2025-12-04T08:57:40.7250916Z * [new tag] ciflow/inductor/167742 -> ciflow/inductor/167742 2025-12-04T08:57:40.7251674Z * [new tag] ciflow/inductor/167768 -> ciflow/inductor/167768 2025-12-04T08:57:40.7252817Z * [new tag] ciflow/inductor/167773 -> ciflow/inductor/167773 2025-12-04T08:57:40.7253476Z * [new tag] ciflow/inductor/167781 -> ciflow/inductor/167781 2025-12-04T08:57:40.7254349Z * [new tag] ciflow/inductor/167880 -> ciflow/inductor/167880 2025-12-04T08:57:40.7255016Z * [new tag] ciflow/inductor/167887 -> ciflow/inductor/167887 2025-12-04T08:57:40.7255781Z * [new tag] ciflow/inductor/167972 -> ciflow/inductor/167972 2025-12-04T08:57:40.7256506Z * [new tag] ciflow/inductor/167989 -> ciflow/inductor/167989 2025-12-04T08:57:40.7257264Z * [new tag] ciflow/inductor/168002 -> ciflow/inductor/168002 2025-12-04T08:57:40.7258027Z * [new tag] ciflow/inductor/168050 -> ciflow/inductor/168050 2025-12-04T08:57:40.7258750Z * [new tag] ciflow/inductor/168051 -> ciflow/inductor/168051 2025-12-04T08:57:40.7259526Z * [new tag] ciflow/inductor/168052 -> ciflow/inductor/168052 2025-12-04T08:57:40.7260375Z * [new tag] ciflow/inductor/168073 -> ciflow/inductor/168073 2025-12-04T08:57:40.7261011Z * [new tag] ciflow/inductor/168096 -> ciflow/inductor/168096 2025-12-04T08:57:40.7261750Z * [new tag] ciflow/inductor/168114 -> ciflow/inductor/168114 2025-12-04T08:57:40.7262500Z * [new tag] ciflow/inductor/168115 -> ciflow/inductor/168115 2025-12-04T08:57:40.7263268Z * [new tag] ciflow/inductor/168127 -> ciflow/inductor/168127 2025-12-04T08:57:40.7264207Z * [new tag] ciflow/inductor/168129 -> ciflow/inductor/168129 2025-12-04T08:57:40.7264863Z * [new tag] ciflow/inductor/168157 -> ciflow/inductor/168157 2025-12-04T08:57:40.7265596Z * [new tag] ciflow/inductor/168175 -> ciflow/inductor/168175 2025-12-04T08:57:40.7266409Z * [new tag] ciflow/inductor/168185 -> ciflow/inductor/168185 2025-12-04T08:57:40.7267113Z * [new tag] ciflow/inductor/168195 -> ciflow/inductor/168195 2025-12-04T08:57:40.7267848Z * [new tag] ciflow/inductor/168209 -> ciflow/inductor/168209 2025-12-04T08:57:40.7268602Z * [new tag] ciflow/inductor/168266 -> ciflow/inductor/168266 2025-12-04T08:57:40.7269337Z * [new tag] ciflow/inductor/168316 -> ciflow/inductor/168316 2025-12-04T08:57:40.7270519Z * [new tag] ciflow/inductor/168326 -> ciflow/inductor/168326 2025-12-04T08:57:40.7271170Z * [new tag] ciflow/inductor/168368 -> ciflow/inductor/168368 2025-12-04T08:57:40.7271926Z * [new tag] ciflow/inductor/168894 -> ciflow/inductor/168894 2025-12-04T08:57:40.7272709Z * [new tag] ciflow/inductor/168934 -> ciflow/inductor/168934 2025-12-04T08:57:40.7273432Z * [new tag] ciflow/inductor/168939 -> ciflow/inductor/168939 2025-12-04T08:57:40.7274190Z * [new tag] ciflow/inductor/168946 -> ciflow/inductor/168946 2025-12-04T08:57:40.7274932Z * [new tag] ciflow/inductor/168950 -> ciflow/inductor/168950 2025-12-04T08:57:40.7275690Z * [new tag] ciflow/inductor/168951 -> ciflow/inductor/168951 2025-12-04T08:57:40.7276427Z * [new tag] ciflow/inductor/168952 -> ciflow/inductor/168952 2025-12-04T08:57:40.7277399Z * [new tag] ciflow/inductor/168955 -> ciflow/inductor/168955 2025-12-04T08:57:40.7278052Z * [new tag] ciflow/inductor/168971 -> ciflow/inductor/168971 2025-12-04T08:57:40.7278779Z * [new tag] ciflow/inductor/168979 -> ciflow/inductor/168979 2025-12-04T08:57:40.7279561Z * [new tag] ciflow/inductor/168980 -> ciflow/inductor/168980 2025-12-04T08:57:40.7280521Z * [new tag] ciflow/inductor/168983 -> ciflow/inductor/168983 2025-12-04T08:57:40.7281223Z * [new tag] ciflow/inductor/169006 -> ciflow/inductor/169006 2025-12-04T08:57:40.7281974Z * [new tag] ciflow/inductor/169023 -> ciflow/inductor/169023 2025-12-04T08:57:40.7283258Z * [new tag] ciflow/inductor/169024 -> ciflow/inductor/169024 2025-12-04T08:57:40.7284011Z * [new tag] ciflow/inductor/169025 -> ciflow/inductor/169025 2025-12-04T08:57:40.7284735Z * [new tag] ciflow/inductor/169066 -> ciflow/inductor/169066 2025-12-04T08:57:40.7285501Z * [new tag] ciflow/inductor/169091 -> ciflow/inductor/169091 2025-12-04T08:57:40.7286256Z * [new tag] ciflow/inductor/169102 -> ciflow/inductor/169102 2025-12-04T08:57:40.7287141Z * [new tag] ciflow/inductor/169103 -> ciflow/inductor/169103 2025-12-04T08:57:40.7287776Z * [new tag] ciflow/inductor/169121 -> ciflow/inductor/169121 2025-12-04T08:57:40.7288537Z * [new tag] ciflow/inductor/169134 -> ciflow/inductor/169134 2025-12-04T08:57:40.7289275Z * [new tag] ciflow/inductor/169135 -> ciflow/inductor/169135 2025-12-04T08:57:40.7290033Z * [new tag] ciflow/inductor/169141 -> ciflow/inductor/169141 2025-12-04T08:57:40.7290771Z * [new tag] ciflow/inductor/169151 -> ciflow/inductor/169151 2025-12-04T08:57:40.7291711Z * [new tag] ciflow/inductor/169161 -> ciflow/inductor/169161 2025-12-04T08:57:40.7292401Z * [new tag] ciflow/inductor/169167 -> ciflow/inductor/169167 2025-12-04T08:57:40.7293439Z * [new tag] ciflow/inductor/169177 -> ciflow/inductor/169177 2025-12-04T08:57:40.7294328Z * [new tag] ciflow/inductor/169185 -> ciflow/inductor/169185 2025-12-04T08:57:40.7294994Z * [new tag] ciflow/inductor/169196 -> ciflow/inductor/169196 2025-12-04T08:57:40.7295816Z * [new tag] ciflow/inductor/169200 -> ciflow/inductor/169200 2025-12-04T08:57:40.7296540Z * [new tag] ciflow/inductor/169204 -> ciflow/inductor/169204 2025-12-04T08:57:40.7297239Z * [new tag] ciflow/inductor/169216 -> ciflow/inductor/169216 2025-12-04T08:57:40.7297983Z * [new tag] ciflow/inductor/169219 -> ciflow/inductor/169219 2025-12-04T08:57:40.7298760Z * [new tag] ciflow/inductor/169220 -> ciflow/inductor/169220 2025-12-04T08:57:40.7299782Z * [new tag] ciflow/inductor/169230 -> ciflow/inductor/169230 2025-12-04T08:57:40.7300456Z * [new tag] ciflow/inductor/169242 -> ciflow/inductor/169242 2025-12-04T08:57:40.7301213Z * [new tag] ciflow/inductor/169245 -> ciflow/inductor/169245 2025-12-04T08:57:40.7302181Z * [new tag] ciflow/inductor/169260 -> ciflow/inductor/169260 2025-12-04T08:57:40.7302953Z * [new tag] ciflow/inductor/169282 -> ciflow/inductor/169282 2025-12-04T08:57:40.7303782Z * [new tag] ciflow/inductor/169286 -> ciflow/inductor/169286 2025-12-04T08:57:40.7304651Z * [new tag] ciflow/inductor/169299 -> ciflow/inductor/169299 2025-12-04T08:57:40.7305543Z * [new tag] ciflow/inductor/169304 -> ciflow/inductor/169304 2025-12-04T08:57:40.7306717Z * [new tag] ciflow/inductor/169305 -> ciflow/inductor/169305 2025-12-04T08:57:40.7307382Z * [new tag] ciflow/inductor/169308 -> ciflow/inductor/169308 2025-12-04T08:57:40.7308209Z * [new tag] ciflow/inductor/169319 -> ciflow/inductor/169319 2025-12-04T08:57:40.7308914Z * [new tag] ciflow/inductor/169326 -> ciflow/inductor/169326 2025-12-04T08:57:40.7309759Z * [new tag] ciflow/inductor/169332 -> ciflow/inductor/169332 2025-12-04T08:57:40.7310443Z * [new tag] ciflow/inductor/169333 -> ciflow/inductor/169333 2025-12-04T08:57:40.7311469Z * [new tag] ciflow/inductor/169336 -> ciflow/inductor/169336 2025-12-04T08:57:40.7312178Z * [new tag] ciflow/inductor/169340 -> ciflow/inductor/169340 2025-12-04T08:57:40.7312924Z * [new tag] ciflow/inductor/169341 -> ciflow/inductor/169341 2025-12-04T08:57:40.7313832Z * [new tag] ciflow/inductor/169343 -> ciflow/inductor/169343 2025-12-04T08:57:40.7314503Z * [new tag] ciflow/inductor/169346 -> ciflow/inductor/169346 2025-12-04T08:57:40.7315560Z * [new tag] ciflow/inductor/169348 -> ciflow/inductor/169348 2025-12-04T08:57:40.7316455Z * [new tag] ciflow/inductor/169350 -> ciflow/inductor/169350 2025-12-04T08:57:40.7317092Z * [new tag] ciflow/inductor/169355 -> ciflow/inductor/169355 2025-12-04T08:57:40.7317961Z * [new tag] ciflow/inductor/169370 -> ciflow/inductor/169370 2025-12-04T08:57:40.7319126Z * [new tag] ciflow/inductor/169375 -> ciflow/inductor/169375 2025-12-04T08:57:40.7319815Z * [new tag] ciflow/inductor/169389 -> ciflow/inductor/169389 2025-12-04T08:57:40.7320667Z * [new tag] ciflow/inductor/169391 -> ciflow/inductor/169391 2025-12-04T08:57:40.7321348Z * [new tag] ciflow/inductor/169393 -> ciflow/inductor/169393 2025-12-04T08:57:40.7322125Z * [new tag] ciflow/inductor/169399 -> ciflow/inductor/169399 2025-12-04T08:57:40.7323104Z * [new tag] ciflow/inductor/169400 -> ciflow/inductor/169400 2025-12-04T08:57:40.7323816Z * [new tag] ciflow/inductor/169415 -> ciflow/inductor/169415 2025-12-04T08:57:40.7324581Z * [new tag] ciflow/inductor/169417 -> ciflow/inductor/169417 2025-12-04T08:57:40.7325487Z * [new tag] ciflow/inductor/169418 -> ciflow/inductor/169418 2025-12-04T08:57:40.7326429Z * [new tag] ciflow/inductor/169430 -> ciflow/inductor/169430 2025-12-04T08:57:40.7327133Z * [new tag] ciflow/inductor/169432 -> ciflow/inductor/169432 2025-12-04T08:57:40.7327912Z * [new tag] ciflow/inductor/169436 -> ciflow/inductor/169436 2025-12-04T08:57:40.7328981Z * [new tag] ciflow/inductor/169437 -> ciflow/inductor/169437 2025-12-04T08:57:40.7329727Z * [new tag] ciflow/inductor/169438 -> ciflow/inductor/169438 2025-12-04T08:57:40.7330501Z * [new tag] ciflow/inductor/169441 -> ciflow/inductor/169441 2025-12-04T08:57:40.7331254Z * [new tag] ciflow/inductor/169446 -> ciflow/inductor/169446 2025-12-04T08:57:40.7332245Z * [new tag] ciflow/inductor/169447 -> ciflow/inductor/169447 2025-12-04T08:57:40.7333313Z * [new tag] ciflow/inductor/169452 -> ciflow/inductor/169452 2025-12-04T08:57:40.7334238Z * [new tag] ciflow/inductor/169455 -> ciflow/inductor/169455 2025-12-04T08:57:40.7334936Z * [new tag] ciflow/inductor/169459 -> ciflow/inductor/169459 2025-12-04T08:57:40.7336363Z * [new tag] ciflow/inductor/169463 -> ciflow/inductor/169463 2025-12-04T08:57:40.7337285Z * [new tag] ciflow/inductor/169476 -> ciflow/inductor/169476 2025-12-04T08:57:40.7337990Z * [new tag] ciflow/inductor/169485 -> ciflow/inductor/169485 2025-12-04T08:57:40.7338849Z * [new tag] ciflow/inductor/169493 -> ciflow/inductor/169493 2025-12-04T08:57:40.7339623Z * [new tag] ciflow/inductor/169496 -> ciflow/inductor/169496 2025-12-04T08:57:40.7340321Z * [new tag] ciflow/inductor/169497 -> ciflow/inductor/169497 2025-12-04T08:57:40.7341199Z * [new tag] ciflow/inductor/169503 -> ciflow/inductor/169503 2025-12-04T08:57:40.7341850Z * [new tag] ciflow/inductor/169504 -> ciflow/inductor/169504 2025-12-04T08:57:40.7342930Z * [new tag] ciflow/inductor/169505 -> ciflow/inductor/169505 2025-12-04T08:57:40.7344253Z * [new tag] ciflow/inductor/169508 -> ciflow/inductor/169508 2025-12-04T08:57:40.7344955Z * [new tag] ciflow/inductor/169509 -> ciflow/inductor/169509 2025-12-04T08:57:40.7345725Z * [new tag] ciflow/inductor/169513 -> ciflow/inductor/169513 2025-12-04T08:57:40.7346656Z * [new tag] ciflow/inductor/169514 -> ciflow/inductor/169514 2025-12-04T08:57:40.7347315Z * [new tag] ciflow/inductor/169515 -> ciflow/inductor/169515 2025-12-04T08:57:40.7348075Z * [new tag] ciflow/inductor/169517 -> ciflow/inductor/169517 2025-12-04T08:57:40.7348835Z * [new tag] ciflow/inductor/169519 -> ciflow/inductor/169519 2025-12-04T08:57:40.7349617Z * [new tag] ciflow/inductor/169520 -> ciflow/inductor/169520 2025-12-04T08:57:40.7350393Z * [new tag] ciflow/inductor/169521 -> ciflow/inductor/169521 2025-12-04T08:57:40.7351140Z * [new tag] ciflow/inductor/169524 -> ciflow/inductor/169524 2025-12-04T08:57:40.7351897Z * [new tag] ciflow/inductor/169527 -> ciflow/inductor/169527 2025-12-04T08:57:40.7352656Z * [new tag] ciflow/inductor/169528 -> ciflow/inductor/169528 2025-12-04T08:57:40.7353652Z * [new tag] ciflow/inductor/169532 -> ciflow/inductor/169532 2025-12-04T08:57:40.7354321Z * [new tag] ciflow/inductor/169535 -> ciflow/inductor/169535 2025-12-04T08:57:40.7355089Z * [new tag] ciflow/inductor/169536 -> ciflow/inductor/169536 2025-12-04T08:57:40.7355876Z * [new tag] ciflow/inductor/169547 -> ciflow/inductor/169547 2025-12-04T08:57:40.7356870Z * [new tag] ciflow/inductor/169548 -> ciflow/inductor/169548 2025-12-04T08:57:40.7357495Z * [new tag] ciflow/inductor/169549 -> ciflow/inductor/169549 2025-12-04T08:57:40.7358253Z * [new tag] ciflow/inductor/169551 -> ciflow/inductor/169551 2025-12-04T08:57:40.7359010Z * [new tag] ciflow/inductor/169552 -> ciflow/inductor/169552 2025-12-04T08:57:40.7359783Z * [new tag] ciflow/inductor/169553 -> ciflow/inductor/169553 2025-12-04T08:57:40.7360844Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-12-04T08:57:40.7361810Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-12-04T08:57:40.7362712Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-12-04T08:57:40.7363608Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-12-04T08:57:40.7364283Z * [new tag] ciflow/linux-aarch64/166075 -> ciflow/linux-aarch64/166075 2025-12-04T08:57:40.7364999Z * [new tag] ciflow/linux-aarch64/166876 -> ciflow/linux-aarch64/166876 2025-12-04T08:57:40.7365711Z * [new tag] ciflow/linux-aarch64/167981 -> ciflow/linux-aarch64/167981 2025-12-04T08:57:40.7366663Z * [new tag] ciflow/mps/166254 -> ciflow/mps/166254 2025-12-04T08:57:40.7367285Z * [new tag] ciflow/mps/169017 -> ciflow/mps/169017 2025-12-04T08:57:40.7368194Z * [new tag] ciflow/mps/169372 -> ciflow/mps/169372 2025-12-04T08:57:40.7368831Z * [new tag] ciflow/mps/169478 -> ciflow/mps/169478 2025-12-04T08:57:40.7369955Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-12-04T08:57:40.7370708Z * [new tag] ciflow/op-benchmark/166075 -> ciflow/op-benchmark/166075 2025-12-04T08:57:40.7371420Z * [new tag] ciflow/op-benchmark/169544 -> ciflow/op-benchmark/169544 2025-12-04T08:57:40.7372346Z * [new tag] ciflow/periodic-rocm-mi200/165997 -> ciflow/periodic-rocm-mi200/165997 2025-12-04T08:57:40.7373164Z * [new tag] ciflow/periodic-rocm-mi200/166517 -> ciflow/periodic-rocm-mi200/166517 2025-12-04T08:57:40.7373860Z * [new tag] ciflow/periodic-rocm-mi200/169063 -> ciflow/periodic-rocm-mi200/169063 2025-12-04T08:57:40.7374589Z * [new tag] ciflow/periodic-rocm-mi200/169425 -> ciflow/periodic-rocm-mi200/169425 2025-12-04T08:57:40.7375562Z * [new tag] ciflow/periodic-rocm-mi300/166517 -> ciflow/periodic-rocm-mi300/166517 2025-12-04T08:57:40.7376222Z * [new tag] ciflow/periodic-rocm-mi300/169063 -> ciflow/periodic-rocm-mi300/169063 2025-12-04T08:57:40.7376941Z * [new tag] ciflow/periodic-rocm-mi300/169425 -> ciflow/periodic-rocm-mi300/169425 2025-12-04T08:57:40.7378194Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-12-04T08:57:40.7378835Z * [new tag] ciflow/periodic/167207 -> ciflow/periodic/167207 2025-12-04T08:57:40.7379611Z * [new tag] ciflow/periodic/167978 -> ciflow/periodic/167978 2025-12-04T08:57:40.7380305Z * [new tag] ciflow/periodic/168096 -> ciflow/periodic/168096 2025-12-04T08:57:40.7381043Z * [new tag] ciflow/periodic/169286 -> ciflow/periodic/169286 2025-12-04T08:57:40.7382006Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-12-04T08:57:40.7382904Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-12-04T08:57:40.7383730Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-12-04T08:57:40.7384840Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-12-04T08:57:40.7386369Z * [new tag] ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 2025-12-04T08:57:40.7387050Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-12-04T08:57:40.7388319Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-12-04T08:57:40.7389193Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-12-04T08:57:40.7390212Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-12-04T08:57:40.7391020Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-12-04T08:57:40.7392148Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-12-04T08:57:40.7393163Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-12-04T08:57:40.7394009Z * [new tag] ciflow/pull/167207 -> ciflow/pull/167207 2025-12-04T08:57:40.7395190Z * [new tag] ciflow/quantization-periodic/169207 -> ciflow/quantization-periodic/169207 2025-12-04T08:57:40.7395838Z * [new tag] ciflow/rocm-mi200/165545 -> ciflow/rocm-mi200/165545 2025-12-04T08:57:40.7396571Z * [new tag] ciflow/rocm-mi200/165997 -> ciflow/rocm-mi200/165997 2025-12-04T08:57:40.7397273Z * [new tag] ciflow/rocm-mi200/168096 -> ciflow/rocm-mi200/168096 2025-12-04T08:57:40.7398233Z * [new tag] ciflow/rocm-mi200/168275 -> ciflow/rocm-mi200/168275 2025-12-04T08:57:40.7398897Z * [new tag] ciflow/rocm-mi200/169063 -> ciflow/rocm-mi200/169063 2025-12-04T08:57:40.7399821Z * [new tag] ciflow/rocm-mi200/169356 -> ciflow/rocm-mi200/169356 2025-12-04T08:57:40.7400442Z * [new tag] ciflow/rocm-mi200/169425 -> ciflow/rocm-mi200/169425 2025-12-04T08:57:40.7401396Z * [new tag] ciflow/rocm-mi300/165545 -> ciflow/rocm-mi300/165545 2025-12-04T08:57:40.7402402Z * [new tag] ciflow/rocm-mi300/167157 -> ciflow/rocm-mi300/167157 2025-12-04T08:57:40.7402993Z * [new tag] ciflow/rocm-mi300/168096 -> ciflow/rocm-mi300/168096 2025-12-04T08:57:40.7403717Z * [new tag] ciflow/rocm-mi300/169063 -> ciflow/rocm-mi300/169063 2025-12-04T08:57:40.7404454Z * [new tag] ciflow/rocm-mi300/169425 -> ciflow/rocm-mi300/169425 2025-12-04T08:57:40.7405380Z * [new tag] ciflow/rocm-mi355/167157 -> ciflow/rocm-mi355/167157 2025-12-04T08:57:40.7406016Z * [new tag] ciflow/rocm-mi355/168275 -> ciflow/rocm-mi355/168275 2025-12-04T08:57:40.7406705Z * [new tag] ciflow/rocm-mi355/169425 -> ciflow/rocm-mi355/169425 2025-12-04T08:57:40.7407740Z * [new tag] ciflow/rocm-navi31/168275 -> ciflow/rocm-navi31/168275 2025-12-04T08:57:40.7408336Z * [new tag] ciflow/rocm-navi31/169425 -> ciflow/rocm-navi31/169425 2025-12-04T08:57:40.7409267Z * [new tag] ciflow/rocm/115316 -> ciflow/rocm/115316 2025-12-04T08:57:40.7409907Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-12-04T08:57:40.7410592Z * [new tag] ciflow/rocm/160685 -> ciflow/rocm/160685 2025-12-04T08:57:40.7411303Z * [new tag] ciflow/rocm/161607 -> ciflow/rocm/161607 2025-12-04T08:57:40.7411998Z * [new tag] ciflow/rocm/162052 -> ciflow/rocm/162052 2025-12-04T08:57:40.7412717Z * [new tag] ciflow/rocm/165997 -> ciflow/rocm/165997 2025-12-04T08:57:40.7413936Z * [new tag] ciflow/rocm/166165 -> ciflow/rocm/166165 2025-12-04T08:57:40.7414568Z * [new tag] ciflow/rocm/166517 -> ciflow/rocm/166517 2025-12-04T08:57:40.7415303Z * [new tag] ciflow/rocm/167207 -> ciflow/rocm/167207 2025-12-04T08:57:40.7416035Z * [new tag] ciflow/rocm/167536 -> ciflow/rocm/167536 2025-12-04T08:57:40.7416717Z * [new tag] ciflow/rocm/167781 -> ciflow/rocm/167781 2025-12-04T08:57:40.7417749Z * [new tag] ciflow/rocm/167989 -> ciflow/rocm/167989 2025-12-04T08:57:40.7418687Z * [new tag] ciflow/rocm/168073 -> ciflow/rocm/168073 2025-12-04T08:57:40.7419617Z * [new tag] ciflow/rocm/168195 -> ciflow/rocm/168195 2025-12-04T08:57:40.7420299Z * [new tag] ciflow/rocm/168939 -> ciflow/rocm/168939 2025-12-04T08:57:40.7421165Z * [new tag] ciflow/rocm/168971 -> ciflow/rocm/168971 2025-12-04T08:57:40.7421782Z * [new tag] ciflow/rocm/169024 -> ciflow/rocm/169024 2025-12-04T08:57:40.7422533Z * [new tag] ciflow/rocm/169200 -> ciflow/rocm/169200 2025-12-04T08:57:40.7423260Z * [new tag] ciflow/rocm/169216 -> ciflow/rocm/169216 2025-12-04T08:57:40.7424257Z * [new tag] ciflow/rocm/169312 -> ciflow/rocm/169312 2025-12-04T08:57:40.7424998Z * [new tag] ciflow/rocm/169380 -> ciflow/rocm/169380 2025-12-04T08:57:40.7425733Z * [new tag] ciflow/rocm/169427 -> ciflow/rocm/169427 2025-12-04T08:57:40.7426625Z * [new tag] ciflow/rocm/169455 -> ciflow/rocm/169455 2025-12-04T08:57:40.7427292Z * [new tag] ciflow/rocm/169470 -> ciflow/rocm/169470 2025-12-04T08:57:40.7428021Z * [new tag] ciflow/rocm/169471 -> ciflow/rocm/169471 2025-12-04T08:57:40.7428763Z * [new tag] ciflow/rocm/169472 -> ciflow/rocm/169472 2025-12-04T08:57:40.7429499Z * [new tag] ciflow/rocm/169514 -> ciflow/rocm/169514 2025-12-04T08:57:40.7430660Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-12-04T08:57:40.7431422Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-12-04T08:57:40.7432806Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-12-04T08:57:40.7433248Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-12-04T08:57:40.7433990Z * [new tag] ciflow/slow/167207 -> ciflow/slow/167207 2025-12-04T08:57:40.7434673Z * [new tag] ciflow/slow/168050 -> ciflow/slow/168050 2025-12-04T08:57:40.7435645Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-12-04T08:57:40.7436624Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-12-04T08:57:40.7437722Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-12-04T08:57:40.7438929Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-12-04T08:57:40.7439951Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-12-04T08:57:40.7440883Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-12-04T08:57:40.7441798Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-12-04T08:57:40.7442669Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-12-04T08:57:40.7444069Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-12-04T08:57:40.7444529Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-12-04T08:57:40.7445511Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-12-04T08:57:40.7446387Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-12-04T08:57:40.7447354Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-12-04T08:57:40.7448212Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-12-04T08:57:40.7449666Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-12-04T08:57:40.7450184Z * [new tag] ciflow/torchbench/168175 -> ciflow/torchbench/168175 2025-12-04T08:57:40.7451216Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-12-04T08:57:40.7451903Z * [new tag] ciflow/trunk/157149 -> ciflow/trunk/157149 2025-12-04T08:57:40.7452610Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-12-04T08:57:40.7453330Z * [new tag] ciflow/trunk/159718 -> ciflow/trunk/159718 2025-12-04T08:57:40.7454073Z * [new tag] ciflow/trunk/160685 -> ciflow/trunk/160685 2025-12-04T08:57:40.7454808Z * [new tag] ciflow/trunk/160729 -> ciflow/trunk/160729 2025-12-04T08:57:40.7455531Z * [new tag] ciflow/trunk/162275 -> ciflow/trunk/162275 2025-12-04T08:57:40.7456231Z * [new tag] ciflow/trunk/162795 -> ciflow/trunk/162795 2025-12-04T08:57:40.7456953Z * [new tag] ciflow/trunk/163245 -> ciflow/trunk/163245 2025-12-04T08:57:40.7457634Z * [new tag] ciflow/trunk/163942 -> ciflow/trunk/163942 2025-12-04T08:57:40.7458347Z * [new tag] ciflow/trunk/165274 -> ciflow/trunk/165274 2025-12-04T08:57:40.7459563Z * [new tag] ciflow/trunk/165483 -> ciflow/trunk/165483 2025-12-04T08:57:40.7460535Z * [new tag] ciflow/trunk/165728 -> ciflow/trunk/165728 2025-12-04T08:57:40.7461453Z * [new tag] ciflow/trunk/165922 -> ciflow/trunk/165922 2025-12-04T08:57:40.7462129Z * [new tag] ciflow/trunk/166075 -> ciflow/trunk/166075 2025-12-04T08:57:40.7462889Z * [new tag] ciflow/trunk/166165 -> ciflow/trunk/166165 2025-12-04T08:57:40.7463703Z * [new tag] ciflow/trunk/166829 -> ciflow/trunk/166829 2025-12-04T08:57:40.7464722Z * [new tag] ciflow/trunk/166843 -> ciflow/trunk/166843 2025-12-04T08:57:40.7465398Z * [new tag] ciflow/trunk/166876 -> ciflow/trunk/166876 2025-12-04T08:57:40.7466136Z * [new tag] ciflow/trunk/167207 -> ciflow/trunk/167207 2025-12-04T08:57:40.7467033Z * [new tag] ciflow/trunk/167536 -> ciflow/trunk/167536 2025-12-04T08:57:40.7467672Z * [new tag] ciflow/trunk/167552 -> ciflow/trunk/167552 2025-12-04T08:57:40.7468383Z * [new tag] ciflow/trunk/167555 -> ciflow/trunk/167555 2025-12-04T08:57:40.7469109Z * [new tag] ciflow/trunk/167599 -> ciflow/trunk/167599 2025-12-04T08:57:40.7469961Z * [new tag] ciflow/trunk/167659 -> ciflow/trunk/167659 2025-12-04T08:57:40.7471099Z * [new tag] ciflow/trunk/167672 -> ciflow/trunk/167672 2025-12-04T08:57:40.7471691Z * [new tag] ciflow/trunk/167742 -> ciflow/trunk/167742 2025-12-04T08:57:40.7472450Z * [new tag] ciflow/trunk/167781 -> ciflow/trunk/167781 2025-12-04T08:57:40.7473485Z * [new tag] ciflow/trunk/167837 -> ciflow/trunk/167837 2025-12-04T08:57:40.7474166Z * [new tag] ciflow/trunk/167887 -> ciflow/trunk/167887 2025-12-04T08:57:40.7475052Z * [new tag] ciflow/trunk/167978 -> ciflow/trunk/167978 2025-12-04T08:57:40.7475698Z * [new tag] ciflow/trunk/168050 -> ciflow/trunk/168050 2025-12-04T08:57:40.7476631Z * [new tag] ciflow/trunk/168051 -> ciflow/trunk/168051 2025-12-04T08:57:40.7477398Z * [new tag] ciflow/trunk/168096 -> ciflow/trunk/168096 2025-12-04T08:57:40.7478106Z * [new tag] ciflow/trunk/168127 -> ciflow/trunk/168127 2025-12-04T08:57:40.7478784Z * [new tag] ciflow/trunk/168157 -> ciflow/trunk/168157 2025-12-04T08:57:40.7479536Z * [new tag] ciflow/trunk/168175 -> ciflow/trunk/168175 2025-12-04T08:57:40.7480280Z * [new tag] ciflow/trunk/168209 -> ciflow/trunk/168209 2025-12-04T08:57:40.7481228Z * [new tag] ciflow/trunk/168213 -> ciflow/trunk/168213 2025-12-04T08:57:40.7481996Z * [new tag] ciflow/trunk/168226 -> ciflow/trunk/168226 2025-12-04T08:57:40.7482745Z * [new tag] ciflow/trunk/168262 -> ciflow/trunk/168262 2025-12-04T08:57:40.7483491Z * [new tag] ciflow/trunk/168275 -> ciflow/trunk/168275 2025-12-04T08:57:40.7484430Z * [new tag] ciflow/trunk/168328 -> ciflow/trunk/168328 2025-12-04T08:57:40.7485597Z * [new tag] ciflow/trunk/168368 -> ciflow/trunk/168368 2025-12-04T08:57:40.7486270Z * [new tag] ciflow/trunk/168917 -> ciflow/trunk/168917 2025-12-04T08:57:40.7487020Z * [new tag] ciflow/trunk/168933 -> ciflow/trunk/168933 2025-12-04T08:57:40.7488000Z * [new tag] ciflow/trunk/168941 -> ciflow/trunk/168941 2025-12-04T08:57:40.7488689Z * [new tag] ciflow/trunk/168955 -> ciflow/trunk/168955 2025-12-04T08:57:40.7489521Z * [new tag] ciflow/trunk/168980 -> ciflow/trunk/168980 2025-12-04T08:57:40.7490462Z * [new tag] ciflow/trunk/169004 -> ciflow/trunk/169004 2025-12-04T08:57:40.7491116Z * [new tag] ciflow/trunk/169006 -> ciflow/trunk/169006 2025-12-04T08:57:40.7491873Z * [new tag] ciflow/trunk/169023 -> ciflow/trunk/169023 2025-12-04T08:57:40.7492603Z * [new tag] ciflow/trunk/169025 -> ciflow/trunk/169025 2025-12-04T08:57:40.7493389Z * [new tag] ciflow/trunk/169048 -> ciflow/trunk/169048 2025-12-04T08:57:40.7494103Z * [new tag] ciflow/trunk/169066 -> ciflow/trunk/169066 2025-12-04T08:57:40.7494840Z * [new tag] ciflow/trunk/169091 -> ciflow/trunk/169091 2025-12-04T08:57:40.7495596Z * [new tag] ciflow/trunk/169102 -> ciflow/trunk/169102 2025-12-04T08:57:40.7496338Z * [new tag] ciflow/trunk/169103 -> ciflow/trunk/169103 2025-12-04T08:57:40.7497319Z * [new tag] ciflow/trunk/169125 -> ciflow/trunk/169125 2025-12-04T08:57:40.7498087Z * [new tag] ciflow/trunk/169139 -> ciflow/trunk/169139 2025-12-04T08:57:40.7499022Z * [new tag] ciflow/trunk/169148 -> ciflow/trunk/169148 2025-12-04T08:57:40.7499731Z * [new tag] ciflow/trunk/169151 -> ciflow/trunk/169151 2025-12-04T08:57:40.7500479Z * [new tag] ciflow/trunk/169156 -> ciflow/trunk/169156 2025-12-04T08:57:40.7501457Z * [new tag] ciflow/trunk/169176 -> ciflow/trunk/169176 2025-12-04T08:57:40.7502310Z * [new tag] ciflow/trunk/169204 -> ciflow/trunk/169204 2025-12-04T08:57:40.7503037Z * [new tag] ciflow/trunk/169207 -> ciflow/trunk/169207 2025-12-04T08:57:40.7503857Z * [new tag] ciflow/trunk/169211 -> ciflow/trunk/169211 2025-12-04T08:57:40.7504829Z * [new tag] ciflow/trunk/169229 -> ciflow/trunk/169229 2025-12-04T08:57:40.7505838Z * [new tag] ciflow/trunk/169231 -> ciflow/trunk/169231 2025-12-04T08:57:40.7506527Z * [new tag] ciflow/trunk/169260 -> ciflow/trunk/169260 2025-12-04T08:57:40.7507605Z * [new tag] ciflow/trunk/169271 -> ciflow/trunk/169271 2025-12-04T08:57:40.7508343Z * [new tag] ciflow/trunk/169280 -> ciflow/trunk/169280 2025-12-04T08:57:40.7509029Z * [new tag] ciflow/trunk/169281 -> ciflow/trunk/169281 2025-12-04T08:57:40.7509778Z * [new tag] ciflow/trunk/169286 -> ciflow/trunk/169286 2025-12-04T08:57:40.7510757Z * [new tag] ciflow/trunk/169293 -> ciflow/trunk/169293 2025-12-04T08:57:40.7511431Z * [new tag] ciflow/trunk/169296 -> ciflow/trunk/169296 2025-12-04T08:57:40.7512196Z * [new tag] ciflow/trunk/169304 -> ciflow/trunk/169304 2025-12-04T08:57:40.7512966Z * [new tag] ciflow/trunk/169305 -> ciflow/trunk/169305 2025-12-04T08:57:40.7513673Z * [new tag] ciflow/trunk/169312 -> ciflow/trunk/169312 2025-12-04T08:57:40.7514853Z * [new tag] ciflow/trunk/169328 -> ciflow/trunk/169328 2025-12-04T08:57:40.7515535Z * [new tag] ciflow/trunk/169343 -> ciflow/trunk/169343 2025-12-04T08:57:40.7516373Z * [new tag] ciflow/trunk/169355 -> ciflow/trunk/169355 2025-12-04T08:57:40.7517054Z * [new tag] ciflow/trunk/169370 -> ciflow/trunk/169370 2025-12-04T08:57:40.7518017Z * [new tag] ciflow/trunk/169379 -> ciflow/trunk/169379 2025-12-04T08:57:40.7518702Z * [new tag] ciflow/trunk/169380 -> ciflow/trunk/169380 2025-12-04T08:57:40.7519534Z * [new tag] ciflow/trunk/169385 -> ciflow/trunk/169385 2025-12-04T08:57:40.7520201Z * [new tag] ciflow/trunk/169387 -> ciflow/trunk/169387 2025-12-04T08:57:40.7521159Z * [new tag] ciflow/trunk/169410 -> ciflow/trunk/169410 2025-12-04T08:57:40.7521844Z * [new tag] ciflow/trunk/169412 -> ciflow/trunk/169412 2025-12-04T08:57:40.7522787Z * [new tag] ciflow/trunk/169418 -> ciflow/trunk/169418 2025-12-04T08:57:40.7523436Z * [new tag] ciflow/trunk/169423 -> ciflow/trunk/169423 2025-12-04T08:57:40.7524180Z * [new tag] ciflow/trunk/169427 -> ciflow/trunk/169427 2025-12-04T08:57:40.7524918Z * [new tag] ciflow/trunk/169430 -> ciflow/trunk/169430 2025-12-04T08:57:40.7525824Z * [new tag] ciflow/trunk/169437 -> ciflow/trunk/169437 2025-12-04T08:57:40.7526459Z * [new tag] ciflow/trunk/169442 -> ciflow/trunk/169442 2025-12-04T08:57:40.7527190Z * [new tag] ciflow/trunk/169452 -> ciflow/trunk/169452 2025-12-04T08:57:40.7528134Z * [new tag] ciflow/trunk/169454 -> ciflow/trunk/169454 2025-12-04T08:57:40.7528803Z * [new tag] ciflow/trunk/169459 -> ciflow/trunk/169459 2025-12-04T08:57:40.7529726Z * [new tag] ciflow/trunk/169474 -> ciflow/trunk/169474 2025-12-04T08:57:40.7530408Z * [new tag] ciflow/trunk/169475 -> ciflow/trunk/169475 2025-12-04T08:57:40.7531340Z * [new tag] ciflow/trunk/169476 -> ciflow/trunk/169476 2025-12-04T08:57:40.7532078Z * [new tag] ciflow/trunk/169487 -> ciflow/trunk/169487 2025-12-04T08:57:40.7532784Z * [new tag] ciflow/trunk/169497 -> ciflow/trunk/169497 2025-12-04T08:57:40.7533690Z * [new tag] ciflow/trunk/169503 -> ciflow/trunk/169503 2025-12-04T08:57:40.7534353Z * [new tag] ciflow/trunk/169505 -> ciflow/trunk/169505 2025-12-04T08:57:40.7535100Z * [new tag] ciflow/trunk/169507 -> ciflow/trunk/169507 2025-12-04T08:57:40.7535858Z * [new tag] ciflow/trunk/169514 -> ciflow/trunk/169514 2025-12-04T08:57:40.7537114Z * [new tag] ciflow/trunk/169517 -> ciflow/trunk/169517 2025-12-04T08:57:40.7537847Z * [new tag] ciflow/trunk/169519 -> ciflow/trunk/169519 2025-12-04T08:57:40.7538540Z * [new tag] ciflow/trunk/169528 -> ciflow/trunk/169528 2025-12-04T08:57:40.7539300Z * [new tag] ciflow/trunk/169541 -> ciflow/trunk/169541 2025-12-04T08:57:40.7540284Z * [new tag] ciflow/trunk/169555 -> ciflow/trunk/169555 2025-12-04T08:57:40.7541415Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-12-04T08:57:40.7542282Z * [new tag] ciflow/vllm/165270 -> ciflow/vllm/165270 2025-12-04T08:57:40.7542929Z * [new tag] ciflow/vllm/165274 -> ciflow/vllm/165274 2025-12-04T08:57:40.7543722Z * [new tag] ciflow/vllm/166494 -> ciflow/vllm/166494 2025-12-04T08:57:40.7544464Z * [new tag] ciflow/vllm/169219 -> ciflow/vllm/169219 2025-12-04T08:57:40.7545201Z * [new tag] ciflow/vllm/169220 -> ciflow/vllm/169220 2025-12-04T08:57:40.7546140Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-12-04T08:57:40.7546741Z * [new tag] ciflow/xpu/159718 -> ciflow/xpu/159718 2025-12-04T08:57:40.7547472Z * [new tag] ciflow/xpu/161940 -> ciflow/xpu/161940 2025-12-04T08:57:40.7548384Z * [new tag] ciflow/xpu/163251 -> ciflow/xpu/163251 2025-12-04T08:57:40.7549213Z * [new tag] ciflow/xpu/166829 -> ciflow/xpu/166829 2025-12-04T08:57:40.7549723Z * [new tag] ciflow/xpu/166843 -> ciflow/xpu/166843 2025-12-04T08:57:40.7550418Z * [new tag] ciflow/xpu/167972 -> ciflow/xpu/167972 2025-12-04T08:57:40.7551278Z * [new tag] ciflow/xpu/167981 -> ciflow/xpu/167981 2025-12-04T08:57:40.7551895Z * [new tag] ciflow/xpu/168213 -> ciflow/xpu/168213 2025-12-04T08:57:40.7552639Z * [new tag] ciflow/xpu/168262 -> ciflow/xpu/168262 2025-12-04T08:57:40.7553303Z * [new tag] ciflow/xpu/168328 -> ciflow/xpu/168328 2025-12-04T08:57:40.7554409Z * [new tag] ciflow/xpu/168950 -> ciflow/xpu/168950 2025-12-04T08:57:40.7555497Z * [new tag] ciflow/xpu/169039 -> ciflow/xpu/169039 2025-12-04T08:57:40.7556761Z * [new tag] ciflow/xpu/169200 -> ciflow/xpu/169200 2025-12-04T08:57:40.7557484Z * [new tag] ciflow/xpu/169203 -> ciflow/xpu/169203 2025-12-04T08:57:40.7558335Z * [new tag] ciflow/xpu/169229 -> ciflow/xpu/169229 2025-12-04T08:57:40.7558993Z * [new tag] ciflow/xpu/169230 -> ciflow/xpu/169230 2025-12-04T08:57:40.7559723Z * [new tag] ciflow/xpu/169231 -> ciflow/xpu/169231 2025-12-04T08:57:40.7560706Z * [new tag] ciflow/xpu/169241 -> ciflow/xpu/169241 2025-12-04T08:57:40.7561405Z * [new tag] ciflow/xpu/169280 -> ciflow/xpu/169280 2025-12-04T08:57:40.7562105Z * [new tag] ciflow/xpu/169296 -> ciflow/xpu/169296 2025-12-04T08:57:40.7563076Z * [new tag] ciflow/xpu/169353 -> ciflow/xpu/169353 2025-12-04T08:57:40.7563749Z * [new tag] ciflow/xpu/169410 -> ciflow/xpu/169410 2025-12-04T08:57:40.7564527Z * [new tag] ciflow/xpu/169442 -> ciflow/xpu/169442 2025-12-04T08:57:40.7565262Z * [new tag] ciflow/xpu/169555 -> ciflow/xpu/169555 2025-12-04T08:57:40.7566248Z * [new tag] cslpull75 -> cslpull75 2025-12-04T08:57:40.7566978Z * [new tag] cslpull76 -> cslpull76 2025-12-04T08:57:40.7567861Z * [new tag] cslpull77 -> cslpull77 2025-12-04T08:57:40.7568701Z * [new tag] cslpull78 -> cslpull78 2025-12-04T08:57:40.7569970Z * [new tag] cslpull79 -> cslpull79 2025-12-04T08:57:40.7573962Z * [new tag] cslpull80 -> cslpull80 2025-12-04T08:57:40.7574872Z * [new tag] cslpull81 -> cslpull81 2025-12-04T08:57:40.7575788Z * [new tag] cslpull82 -> cslpull82 2025-12-04T08:57:40.7576685Z * [new tag] cslpull83 -> cslpull83 2025-12-04T08:57:40.7577485Z * [new tag] cslpull84 -> cslpull84 2025-12-04T08:57:40.7578298Z * [new tag] cslpull85 -> cslpull85 2025-12-04T08:57:40.7579173Z * [new tag] cslpull86 -> cslpull86 2025-12-04T08:57:40.7580071Z * [new tag] cslpull87 -> cslpull87 2025-12-04T08:57:40.7580950Z * [new tag] cslpull88 -> cslpull88 2025-12-04T08:57:40.7581839Z * [new tag] cslpull89 -> cslpull89 2025-12-04T08:57:40.7582457Z * [new tag] cslpull90 -> cslpull90 2025-12-04T08:57:40.7583855Z * [new tag] cslpull91 -> cslpull91 2025-12-04T08:57:40.7584751Z * [new tag] cslpull92 -> cslpull92 2025-12-04T08:57:40.7585618Z * [new tag] flight_5 -> flight_5 2025-12-04T08:57:40.7586650Z * [new tag] flight_5.1 -> flight_5.1 2025-12-04T08:57:40.7587721Z * [new tag] flight_5.2 -> flight_5.2 2025-12-04T08:57:40.7588643Z * [new tag] flight_5.3 -> flight_5.3 2025-12-04T08:57:40.7591158Z * [new tag] forpull1 -> forpull1 2025-12-04T08:57:40.7591662Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-12-04T08:57:40.7591916Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-12-04T08:57:40.7592414Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-12-04T08:57:40.7593330Z * [new tag] nightly-binary -> nightly-binary 2025-12-04T08:57:40.7594216Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-12-04T08:57:40.7595205Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-12-04T08:57:40.7596461Z * [new tag] trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 -> trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 2025-12-04T08:57:40.7597274Z * [new tag] trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e -> trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e 2025-12-04T08:57:40.7598471Z * [new tag] trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 -> trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 2025-12-04T08:57:40.7599585Z * [new tag] trunk/07dcc0b83db3211653a38565a24e15acdba75654 -> trunk/07dcc0b83db3211653a38565a24e15acdba75654 2025-12-04T08:57:40.7600431Z * [new tag] trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb -> trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb 2025-12-04T08:57:40.7601285Z * [new tag] trunk/088048f2fea28ff7d450f65c72419ca45780d30b -> trunk/088048f2fea28ff7d450f65c72419ca45780d30b 2025-12-04T08:57:40.7602164Z * [new tag] trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 -> trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 2025-12-04T08:57:40.7603523Z * [new tag] trunk/0b80a4c62b94402844bf221791c096b0035c6d75 -> trunk/0b80a4c62b94402844bf221791c096b0035c6d75 2025-12-04T08:57:40.7604652Z * [new tag] trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 -> trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 2025-12-04T08:57:40.7605497Z * [new tag] trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 -> trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 2025-12-04T08:57:40.7606455Z * [new tag] trunk/135f3753c418a6879b1954904184937b67e61688 -> trunk/135f3753c418a6879b1954904184937b67e61688 2025-12-04T08:57:40.7607303Z * [new tag] trunk/15da21026cb13cd20257dc9e96830db108743c10 -> trunk/15da21026cb13cd20257dc9e96830db108743c10 2025-12-04T08:57:40.7608249Z * [new tag] trunk/166efdad2ac827f30fb02504c6017520257f88ec -> trunk/166efdad2ac827f30fb02504c6017520257f88ec 2025-12-04T08:57:40.7609111Z * [new tag] trunk/174272c15fae553d8488140af931f7d8050a313f -> trunk/174272c15fae553d8488140af931f7d8050a313f 2025-12-04T08:57:40.7610314Z * [new tag] trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 -> trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 2025-12-04T08:57:40.7611205Z * [new tag] trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 -> trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 2025-12-04T08:57:40.7612118Z * [new tag] trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 -> trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 2025-12-04T08:57:40.7612984Z * [new tag] trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 -> trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 2025-12-04T08:57:40.7613852Z * [new tag] trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e -> trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e 2025-12-04T08:57:40.7614723Z * [new tag] trunk/1c87554d74140eaee964ca8b1832cede67f5f520 -> trunk/1c87554d74140eaee964ca8b1832cede67f5f520 2025-12-04T08:57:40.7615647Z * [new tag] trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 -> trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 2025-12-04T08:57:40.7616620Z * [new tag] trunk/1cee47d6ce0a02227185b566593f002dd639ca0c -> trunk/1cee47d6ce0a02227185b566593f002dd639ca0c 2025-12-04T08:57:40.7617372Z * [new tag] trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d -> trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d 2025-12-04T08:57:40.7618297Z * [new tag] trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 -> trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 2025-12-04T08:57:40.7619269Z * [new tag] trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de -> trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de 2025-12-04T08:57:40.7620136Z * [new tag] trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 -> trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 2025-12-04T08:57:40.7621015Z * [new tag] trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 -> trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 2025-12-04T08:57:40.7621876Z * [new tag] trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f -> trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f 2025-12-04T08:57:40.7623052Z * [new tag] trunk/285779b1621cf9f073a062b0889a642d200308d9 -> trunk/285779b1621cf9f073a062b0889a642d200308d9 2025-12-04T08:57:40.7623768Z * [new tag] trunk/2887faaec6295d081580d09fce161201826c6d87 -> trunk/2887faaec6295d081580d09fce161201826c6d87 2025-12-04T08:57:40.7624745Z * [new tag] trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc -> trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc 2025-12-04T08:57:40.7625622Z * [new tag] trunk/29856679769b3dede478767e2fe6cfb51197cb25 -> trunk/29856679769b3dede478767e2fe6cfb51197cb25 2025-12-04T08:57:40.7626695Z * [new tag] trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 -> trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 2025-12-04T08:57:40.7627479Z * [new tag] trunk/2ac3ef882afb23136adc188975f0a8802fc68adf -> trunk/2ac3ef882afb23136adc188975f0a8802fc68adf 2025-12-04T08:57:40.7628223Z * [new tag] trunk/2bec68e73b64715354af076ad309335f943e36cd -> trunk/2bec68e73b64715354af076ad309335f943e36cd 2025-12-04T08:57:40.7629148Z * [new tag] trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 -> trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 2025-12-04T08:57:40.7630051Z * [new tag] trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 -> trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 2025-12-04T08:57:40.7630972Z * [new tag] trunk/2df6058f116a65722a0e03073402feb242572d35 -> trunk/2df6058f116a65722a0e03073402feb242572d35 2025-12-04T08:57:40.7631897Z * [new tag] trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec -> trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec 2025-12-04T08:57:40.7633013Z * [new tag] trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 -> trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 2025-12-04T08:57:40.7633758Z * [new tag] trunk/305168768a95d69c444df5cd334bb774edfe06f1 -> trunk/305168768a95d69c444df5cd334bb774edfe06f1 2025-12-04T08:57:40.7634634Z * [new tag] trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 -> trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 2025-12-04T08:57:40.7635573Z * [new tag] trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 -> trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 2025-12-04T08:57:40.7636463Z * [new tag] trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 -> trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 2025-12-04T08:57:40.7637351Z * [new tag] trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf -> trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf 2025-12-04T08:57:40.7638226Z * [new tag] trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee -> trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee 2025-12-04T08:57:40.7639190Z * [new tag] trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 -> trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 2025-12-04T08:57:40.7640027Z * [new tag] trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 -> trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 2025-12-04T08:57:40.7640955Z * [new tag] trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae -> trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae 2025-12-04T08:57:40.7641830Z * [new tag] trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f -> trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f 2025-12-04T08:57:40.7642707Z * [new tag] trunk/42e9005cda22da3f1c559c3649218cebd671027c -> trunk/42e9005cda22da3f1c559c3649218cebd671027c 2025-12-04T08:57:40.7643568Z * [new tag] trunk/43b94713bbf340d3c124fde02d0f73add4021247 -> trunk/43b94713bbf340d3c124fde02d0f73add4021247 2025-12-04T08:57:40.7644452Z * [new tag] trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c -> trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c 2025-12-04T08:57:40.7645325Z * [new tag] trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a -> trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a 2025-12-04T08:57:40.7646130Z * [new tag] trunk/45d310ad84854dff730c0b12e577d7998d978686 -> trunk/45d310ad84854dff730c0b12e577d7998d978686 2025-12-04T08:57:40.7647383Z * [new tag] trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 -> trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 2025-12-04T08:57:40.7648069Z * [new tag] trunk/481e5ab336275bd3acd5fa8a611b05b4469012af -> trunk/481e5ab336275bd3acd5fa8a611b05b4469012af 2025-12-04T08:57:40.7648996Z * [new tag] trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 -> trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 2025-12-04T08:57:40.7649924Z * [new tag] trunk/49a04d26088acc17d948ddd66920f3e16371e873 -> trunk/49a04d26088acc17d948ddd66920f3e16371e873 2025-12-04T08:57:40.7650790Z * [new tag] trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 -> trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 2025-12-04T08:57:40.7651524Z * [new tag] trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f -> trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f 2025-12-04T08:57:40.7652690Z * [new tag] trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa -> trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa 2025-12-04T08:57:40.7653480Z * [new tag] trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c -> trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c 2025-12-04T08:57:40.7654978Z * [new tag] trunk/4fefb8e7e942386ffac764a41b232241f82bea3a -> trunk/4fefb8e7e942386ffac764a41b232241f82bea3a 2025-12-04T08:57:40.7655736Z * [new tag] trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d -> trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d 2025-12-04T08:57:40.7656639Z * [new tag] trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 -> trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 2025-12-04T08:57:40.7657536Z * [new tag] trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 -> trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 2025-12-04T08:57:40.7658488Z * [new tag] trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a -> trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a 2025-12-04T08:57:40.7659404Z * [new tag] trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 -> trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 2025-12-04T08:57:40.7660325Z * [new tag] trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 -> trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 2025-12-04T08:57:40.7661261Z * [new tag] trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 -> trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 2025-12-04T08:57:40.7662628Z * [new tag] trunk/5634469fda9e5d98869c82c7d03bb08914245f96 -> trunk/5634469fda9e5d98869c82c7d03bb08914245f96 2025-12-04T08:57:40.7663326Z * [new tag] trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc -> trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc 2025-12-04T08:57:40.7664515Z * [new tag] trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 -> trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 2025-12-04T08:57:40.7665286Z * [new tag] trunk/597930f6b568852356ca9795dac76f9e4653adbd -> trunk/597930f6b568852356ca9795dac76f9e4653adbd 2025-12-04T08:57:40.7666056Z * [new tag] trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 -> trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 2025-12-04T08:57:40.7667155Z * [new tag] trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 -> trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 2025-12-04T08:57:40.7668033Z * [new tag] trunk/5a607febc04c3a2b5824c75f3f60307867439a2c -> trunk/5a607febc04c3a2b5824c75f3f60307867439a2c 2025-12-04T08:57:40.7668948Z * [new tag] trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b -> trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b 2025-12-04T08:57:40.7669930Z * [new tag] trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c -> trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c 2025-12-04T08:57:40.7670893Z * [new tag] trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 -> trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 2025-12-04T08:57:40.7671836Z * [new tag] trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 -> trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 2025-12-04T08:57:40.7672796Z * [new tag] trunk/61be54a31dc09b59d99b62176fb935aee0b924ef -> trunk/61be54a31dc09b59d99b62176fb935aee0b924ef 2025-12-04T08:57:40.7673709Z * [new tag] trunk/62d3ccd71484ed6a760d909b41487101bbc65719 -> trunk/62d3ccd71484ed6a760d909b41487101bbc65719 2025-12-04T08:57:40.7674615Z * [new tag] trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b -> trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b 2025-12-04T08:57:40.7675495Z * [new tag] trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a -> trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a 2025-12-04T08:57:40.7676405Z * [new tag] trunk/66004b993744b4106bf8afaba71f3c228a804206 -> trunk/66004b993744b4106bf8afaba71f3c228a804206 2025-12-04T08:57:40.7677304Z * [new tag] trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 -> trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 2025-12-04T08:57:40.7678172Z * [new tag] trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 -> trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 2025-12-04T08:57:40.7679221Z * [new tag] trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d -> trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d 2025-12-04T08:57:40.7680005Z * [new tag] trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b -> trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b 2025-12-04T08:57:40.7680891Z * [new tag] trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 -> trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 2025-12-04T08:57:40.7681779Z * [new tag] trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 -> trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 2025-12-04T08:57:40.7682698Z * [new tag] trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec -> trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec 2025-12-04T08:57:40.7683558Z * [new tag] trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 -> trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 2025-12-04T08:57:40.7684497Z * [new tag] trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d -> trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d 2025-12-04T08:57:40.7685389Z * [new tag] trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a -> trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a 2025-12-04T08:57:40.7686323Z * [new tag] trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e -> trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e 2025-12-04T08:57:40.7687214Z * [new tag] trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 -> trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 2025-12-04T08:57:40.7688077Z * [new tag] trunk/70d797a5fc109b20a517646fcaa819477cd0d485 -> trunk/70d797a5fc109b20a517646fcaa819477cd0d485 2025-12-04T08:57:40.7688999Z * [new tag] trunk/7348cb355ff0a6f79cd4871215aea72185748734 -> trunk/7348cb355ff0a6f79cd4871215aea72185748734 2025-12-04T08:57:40.7689927Z * [new tag] trunk/74fe26a1ebe32931783569f2e762e3c2c974901f -> trunk/74fe26a1ebe32931783569f2e762e3c2c974901f 2025-12-04T08:57:40.7690866Z * [new tag] trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 -> trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 2025-12-04T08:57:40.7691779Z * [new tag] trunk/7741edd4ed665f3988052e260863efb508d61a03 -> trunk/7741edd4ed665f3988052e260863efb508d61a03 2025-12-04T08:57:40.7692720Z * [new tag] trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 -> trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 2025-12-04T08:57:40.7693633Z * [new tag] trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 -> trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 2025-12-04T08:57:40.7694376Z * [new tag] trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 -> trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 2025-12-04T08:57:40.7695279Z * [new tag] trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca -> trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca 2025-12-04T08:57:40.7696145Z * [new tag] trunk/7b7af390ea8541c611d1ce2018a6934188fc197b -> trunk/7b7af390ea8541c611d1ce2018a6934188fc197b 2025-12-04T08:57:40.7697064Z * [new tag] trunk/7ba4680f3755a560af81aa0f688791e367aa3609 -> trunk/7ba4680f3755a560af81aa0f688791e367aa3609 2025-12-04T08:57:40.7697995Z * [new tag] trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b -> trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b 2025-12-04T08:57:40.7698864Z * [new tag] trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 2025-12-04T08:57:40.7699618Z * [new tag] trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 -> trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 2025-12-04T08:57:40.7700616Z * [new tag] trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed -> trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed 2025-12-04T08:57:40.7701465Z * [new tag] trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 -> trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 2025-12-04T08:57:40.7702404Z * [new tag] trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e -> trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e 2025-12-04T08:57:40.7703155Z * [new tag] trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead -> trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead 2025-12-04T08:57:40.7704135Z * [new tag] trunk/81af382128efa094d8702e18f2c133760904c718 -> trunk/81af382128efa094d8702e18f2c133760904c718 2025-12-04T08:57:40.7705417Z * [new tag] trunk/84149583d483e9c973c9a0feda70e4f3964947b0 -> trunk/84149583d483e9c973c9a0feda70e4f3964947b0 2025-12-04T08:57:40.7706562Z * [new tag] trunk/85a315917efe82c24306be805c584ec044951c75 -> trunk/85a315917efe82c24306be805c584ec044951c75 2025-12-04T08:57:40.7707374Z * [new tag] trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece -> trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece 2025-12-04T08:57:40.7708139Z * [new tag] trunk/892640e25aeefa8007c5af837214b4502b6b62a6 -> trunk/892640e25aeefa8007c5af837214b4502b6b62a6 2025-12-04T08:57:40.7709367Z * [new tag] trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 -> trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 2025-12-04T08:57:40.7710173Z * [new tag] trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c -> trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c 2025-12-04T08:57:40.7711070Z * [new tag] trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 -> trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 2025-12-04T08:57:40.7712008Z * [new tag] trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 -> trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 2025-12-04T08:57:40.7713136Z * [new tag] trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca -> trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca 2025-12-04T08:57:40.7718534Z * [new tag] trunk/90b27e7e8352cde97d32ddad24740ef819633f38 -> trunk/90b27e7e8352cde97d32ddad24740ef819633f38 2025-12-04T08:57:40.7718997Z * [new tag] trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 -> trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 2025-12-04T08:57:40.7719405Z * [new tag] trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c -> trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c 2025-12-04T08:57:40.7719913Z * [new tag] trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 -> trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 2025-12-04T08:57:40.7720310Z * [new tag] trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 -> trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 2025-12-04T08:57:40.7720714Z * [new tag] trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa -> trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa 2025-12-04T08:57:40.7721104Z * [new tag] trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d -> trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d 2025-12-04T08:57:40.7721502Z * [new tag] trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 -> trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 2025-12-04T08:57:40.7721894Z * [new tag] trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 -> trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 2025-12-04T08:57:40.7722460Z * [new tag] trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d -> trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d 2025-12-04T08:57:40.7723152Z * [new tag] trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a -> trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a 2025-12-04T08:57:40.7724097Z * [new tag] trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 -> trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 2025-12-04T08:57:40.7725187Z * [new tag] trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 -> trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 2025-12-04T08:57:40.7726033Z * [new tag] trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa -> trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa 2025-12-04T08:57:40.7726932Z * [new tag] trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d -> trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d 2025-12-04T08:57:40.7728199Z * [new tag] trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c -> trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c 2025-12-04T08:57:40.7729028Z * [new tag] trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 -> trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 2025-12-04T08:57:40.7729929Z * [new tag] trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c -> trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c 2025-12-04T08:57:40.7730729Z * [new tag] trunk/a7dc6dab9ad911259d4801c502907e531594db45 -> trunk/a7dc6dab9ad911259d4801c502907e531594db45 2025-12-04T08:57:40.7731681Z * [new tag] trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 -> trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 2025-12-04T08:57:40.7732633Z * [new tag] trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e -> trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e 2025-12-04T08:57:40.7733524Z * [new tag] trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e -> trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e 2025-12-04T08:57:40.7734347Z * [new tag] trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e -> trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e 2025-12-04T08:57:40.7735105Z * [new tag] trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 -> trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 2025-12-04T08:57:40.7736036Z * [new tag] trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 -> trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 2025-12-04T08:57:40.7736995Z * [new tag] trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 -> trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 2025-12-04T08:57:40.7737896Z * [new tag] trunk/b39813b4a04931682b0491adba2138d01d716d99 -> trunk/b39813b4a04931682b0491adba2138d01d716d99 2025-12-04T08:57:40.7738875Z * [new tag] trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 -> trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 2025-12-04T08:57:40.7739808Z * [new tag] trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 -> trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 2025-12-04T08:57:40.7740762Z * [new tag] trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a -> trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a 2025-12-04T08:57:40.7741675Z * [new tag] trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 -> trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 2025-12-04T08:57:40.7742608Z * [new tag] trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 -> trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 2025-12-04T08:57:40.7743808Z * [new tag] trunk/b7d60685f8cbc939b68a20871e90db67e729329b -> trunk/b7d60685f8cbc939b68a20871e90db67e729329b 2025-12-04T08:57:40.7744710Z * [new tag] trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e -> trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e 2025-12-04T08:57:40.7745638Z * [new tag] trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf -> trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf 2025-12-04T08:57:40.7746530Z * [new tag] trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 -> trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 2025-12-04T08:57:40.7747454Z * [new tag] trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f -> trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f 2025-12-04T08:57:40.7748436Z * [new tag] trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f -> trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f 2025-12-04T08:57:40.7749351Z * [new tag] trunk/bb3034198b459401fabeab254e1b99f0115046e2 -> trunk/bb3034198b459401fabeab254e1b99f0115046e2 2025-12-04T08:57:40.7750244Z * [new tag] trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 -> trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 2025-12-04T08:57:40.7751330Z * [new tag] trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 -> trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 2025-12-04T08:57:40.7752307Z * [new tag] trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 -> trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 2025-12-04T08:57:40.7753143Z * [new tag] trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 -> trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 2025-12-04T08:57:40.7754437Z * [new tag] trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 -> trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 2025-12-04T08:57:40.7755234Z * [new tag] trunk/c0660bcee27e7d7731634e274576a7081882bede -> trunk/c0660bcee27e7d7731634e274576a7081882bede 2025-12-04T08:57:40.7756365Z * [new tag] trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac -> trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac 2025-12-04T08:57:40.7757175Z * [new tag] trunk/c55b1e8f61d041ee436d697449eb028931d574fb -> trunk/c55b1e8f61d041ee436d697449eb028931d574fb 2025-12-04T08:57:40.7758059Z * [new tag] trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 -> trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 2025-12-04T08:57:40.7759387Z * [new tag] trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 -> trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 2025-12-04T08:57:40.7760270Z * [new tag] trunk/cc0853af42122f8185321f542616f4474e717f09 -> trunk/cc0853af42122f8185321f542616f4474e717f09 2025-12-04T08:57:40.7761081Z * [new tag] trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 -> trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 2025-12-04T08:57:40.7762028Z * [new tag] trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a -> trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a 2025-12-04T08:57:40.7762982Z * [new tag] trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace -> trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace 2025-12-04T08:57:40.7763821Z * [new tag] trunk/d16447dacaf2420ea175f0c275c75da951f57d39 -> trunk/d16447dacaf2420ea175f0c275c75da951f57d39 2025-12-04T08:57:40.7764919Z * [new tag] trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 -> trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 2025-12-04T08:57:40.7765689Z * [new tag] trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 -> trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 2025-12-04T08:57:40.7766789Z * [new tag] trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf -> trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf 2025-12-04T08:57:40.7767593Z * [new tag] trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 -> trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 2025-12-04T08:57:40.7768433Z * [new tag] trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d -> trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d 2025-12-04T08:57:40.7769515Z * [new tag] trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 -> trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 2025-12-04T08:57:40.7770492Z * [new tag] trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 -> trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 2025-12-04T08:57:40.7771445Z * [new tag] trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e -> trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e 2025-12-04T08:57:40.7772366Z * [new tag] trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a -> trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a 2025-12-04T08:57:40.7773329Z * [new tag] trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b -> trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b 2025-12-04T08:57:40.7774470Z * [new tag] trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec -> trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec 2025-12-04T08:57:40.7775225Z * [new tag] trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf -> trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf 2025-12-04T08:57:40.7776100Z * [new tag] trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd -> trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd 2025-12-04T08:57:40.7777036Z * [new tag] trunk/dd18a75336a4fbd7497955cc5665904724fce889 -> trunk/dd18a75336a4fbd7497955cc5665904724fce889 2025-12-04T08:57:40.7778085Z * [new tag] trunk/ded9bcd61a059bf723e6e84689552962b480ea77 -> trunk/ded9bcd61a059bf723e6e84689552962b480ea77 2025-12-04T08:57:40.7779314Z * [new tag] trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c -> trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c 2025-12-04T08:57:40.7780226Z * [new tag] trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b -> trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b 2025-12-04T08:57:40.7781057Z * [new tag] trunk/e3f24fd73ad74c6e7176687986436956c7c18235 -> trunk/e3f24fd73ad74c6e7176687986436956c7c18235 2025-12-04T08:57:40.7782536Z * [new tag] trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e -> trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e 2025-12-04T08:57:40.7783500Z * [new tag] trunk/ea7035f462a0d2830865ee86c832bd101e1427fc -> trunk/ea7035f462a0d2830865ee86c832bd101e1427fc 2025-12-04T08:57:40.7784378Z * [new tag] trunk/eabb7ad2128580ef674446027b95bcf4e21e8df3 -> trunk/eabb7ad2128580ef674446027b95bcf4e21e8df3 2025-12-04T08:57:40.7785503Z * [new tag] trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf -> trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf 2025-12-04T08:57:40.7786298Z * [new tag] trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e -> trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e 2025-12-04T08:57:40.7787241Z * [new tag] trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e -> trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e 2025-12-04T08:57:40.7788683Z * [new tag] trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 -> trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 2025-12-04T08:57:40.7789527Z * [new tag] trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 -> trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 2025-12-04T08:57:40.7790603Z * [new tag] trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 -> trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 2025-12-04T08:57:40.7791462Z * [new tag] trunk/f1076f5510920044912247b1abb8760cb820f598 -> trunk/f1076f5510920044912247b1abb8760cb820f598 2025-12-04T08:57:40.7792424Z * [new tag] trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 -> trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 2025-12-04T08:57:40.7793341Z * [new tag] trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 -> trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 2025-12-04T08:57:40.7794261Z * [new tag] trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 -> trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 2025-12-04T08:57:40.7795119Z * [new tag] trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 -> trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 2025-12-04T08:57:40.7796018Z * [new tag] trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 -> trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 2025-12-04T08:57:40.7796947Z * [new tag] trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 -> trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 2025-12-04T08:57:40.7797757Z * [new tag] trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 -> trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 2025-12-04T08:57:40.7798888Z * [new tag] trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b -> trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b 2025-12-04T08:57:40.7799740Z * [new tag] trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 -> trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 2025-12-04T08:57:40.7801194Z * [new tag] trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 -> trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 2025-12-04T08:57:40.7802041Z * [new tag] trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 -> trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 2025-12-04T08:57:40.7803008Z * [new tag] trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 -> trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:57:40.7803765Z * [new tag] v0.1.1 -> v0.1.1 2025-12-04T08:57:40.7804614Z * [new tag] v0.1.10 -> v0.1.10 2025-12-04T08:57:40.7805479Z * [new tag] v0.1.11 -> v0.1.11 2025-12-04T08:57:40.7806348Z * [new tag] v0.1.12 -> v0.1.12 2025-12-04T08:57:40.7807184Z * [new tag] v0.1.2 -> v0.1.2 2025-12-04T08:57:40.7807927Z * [new tag] v0.1.3 -> v0.1.3 2025-12-04T08:57:40.7808802Z * [new tag] v0.1.4 -> v0.1.4 2025-12-04T08:57:40.7809655Z * [new tag] v0.1.5 -> v0.1.5 2025-12-04T08:57:40.7810516Z * [new tag] v0.1.6 -> v0.1.6 2025-12-04T08:57:40.7811193Z * [new tag] v0.1.7 -> v0.1.7 2025-12-04T08:57:40.7812116Z * [new tag] v0.1.8 -> v0.1.8 2025-12-04T08:57:40.7812812Z * [new tag] v0.1.9 -> v0.1.9 2025-12-04T08:57:40.7813825Z * [new tag] v0.2.0 -> v0.2.0 2025-12-04T08:57:40.7814765Z * [new tag] v0.3.0 -> v0.3.0 2025-12-04T08:57:40.7815646Z * [new tag] v0.3.1 -> v0.3.1 2025-12-04T08:57:40.7816475Z * [new tag] v0.4.0 -> v0.4.0 2025-12-04T08:57:40.7817291Z * [new tag] v0.4.1 -> v0.4.1 2025-12-04T08:57:40.7818154Z * [new tag] v1.0.0 -> v1.0.0 2025-12-04T08:57:40.7819106Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-12-04T08:57:40.7819953Z * [new tag] v1.0.1 -> v1.0.1 2025-12-04T08:57:40.7820878Z * [new tag] v1.0rc0 -> v1.0rc0 2025-12-04T08:57:40.7821483Z * [new tag] v1.0rc1 -> v1.0rc1 2025-12-04T08:57:40.7822444Z * [new tag] v1.1.0 -> v1.1.0 2025-12-04T08:57:40.7823300Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-12-04T08:57:40.7824515Z * [new tag] v1.10.0 -> v1.10.0 2025-12-04T08:57:40.7825887Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-12-04T08:57:40.7826772Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-12-04T08:57:40.7827410Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-12-04T08:57:40.7828406Z * [new tag] v1.10.1 -> v1.10.1 2025-12-04T08:57:40.7829105Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-12-04T08:57:40.7829738Z * [new tag] v1.10.2 -> v1.10.2 2025-12-04T08:57:40.7830386Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-12-04T08:57:40.7831436Z * [new tag] v1.11.0 -> v1.11.0 2025-12-04T08:57:40.7832337Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-12-04T08:57:40.7833285Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-12-04T08:57:40.7834250Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-12-04T08:57:40.7835171Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-12-04T08:57:40.7836130Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-12-04T08:57:40.7836778Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-12-04T08:57:40.7837422Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-12-04T08:57:40.7838439Z * [new tag] v1.12.0 -> v1.12.0 2025-12-04T08:57:40.7839339Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-12-04T08:57:40.7840275Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-12-04T08:57:40.7841163Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-12-04T08:57:40.7842075Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-12-04T08:57:40.7842933Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-12-04T08:57:40.7843913Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-12-04T08:57:40.7844568Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-12-04T08:57:40.7845289Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-12-04T08:57:40.7845960Z * [new tag] v1.12.1 -> v1.12.1 2025-12-04T08:57:40.7847183Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-12-04T08:57:40.7848063Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-12-04T08:57:40.7849071Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-12-04T08:57:40.7850021Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-12-04T08:57:40.7850650Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-12-04T08:57:40.7851621Z * [new tag] v1.13.0 -> v1.13.0 2025-12-04T08:57:40.7852476Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-12-04T08:57:40.7853310Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-12-04T08:57:40.7854190Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-12-04T08:57:40.7855241Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-12-04T08:57:40.7855937Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-12-04T08:57:40.7856563Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-12-04T08:57:40.7857564Z * [new tag] v1.13.1 -> v1.13.1 2025-12-04T08:57:40.7858192Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-12-04T08:57:40.7859120Z * [new tag] v1.2.0 -> v1.2.0 2025-12-04T08:57:40.7860029Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-12-04T08:57:40.7860874Z * [new tag] v1.3.0 -> v1.3.0 2025-12-04T08:57:40.7861790Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-12-04T08:57:40.7862417Z * [new tag] v1.3.1 -> v1.3.1 2025-12-04T08:57:40.7863394Z * [new tag] v1.4.0 -> v1.4.0 2025-12-04T08:57:40.7864386Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-12-04T08:57:40.7865390Z * [new tag] v1.4.1 -> v1.4.1 2025-12-04T08:57:40.7866360Z * [new tag] v1.5.0 -> v1.5.0 2025-12-04T08:57:40.7867269Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-12-04T08:57:40.7868200Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-12-04T08:57:40.7869161Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-12-04T08:57:40.7870002Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-12-04T08:57:40.7870879Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-12-04T08:57:40.7871757Z * [new tag] v1.5.1 -> v1.5.1 2025-12-04T08:57:40.7872363Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-12-04T08:57:40.7873092Z * [new tag] v1.6.0 -> v1.6.0 2025-12-04T08:57:40.7874111Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-12-04T08:57:40.7875119Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-12-04T08:57:40.7876016Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-12-04T08:57:40.7877033Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-12-04T08:57:40.7877778Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-12-04T08:57:40.7878745Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-12-04T08:57:40.7879296Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-12-04T08:57:40.7880350Z * [new tag] v1.7.0 -> v1.7.0 2025-12-04T08:57:40.7881638Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-12-04T08:57:40.7882689Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-12-04T08:57:40.7883577Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-12-04T08:57:40.7884202Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-12-04T08:57:40.7885210Z * [new tag] v1.7.1 -> v1.7.1 2025-12-04T08:57:40.7886203Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-12-04T08:57:40.7887153Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-12-04T08:57:40.7887783Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-12-04T08:57:40.7888753Z * [new tag] v1.8.0 -> v1.8.0 2025-12-04T08:57:40.7889424Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-12-04T08:57:40.7890402Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-12-04T08:57:40.7891315Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-12-04T08:57:40.7892212Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-12-04T08:57:40.7892759Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-12-04T08:57:40.7893479Z * [new tag] v1.8.1 -> v1.8.1 2025-12-04T08:57:40.7894566Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-12-04T08:57:40.7895210Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-12-04T08:57:40.7895866Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-12-04T08:57:40.7897352Z * [new tag] v1.8.2 -> v1.8.2 2025-12-04T08:57:40.7897916Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-12-04T08:57:40.7898958Z * [new tag] v1.9.0 -> v1.9.0 2025-12-04T08:57:40.7899849Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-12-04T08:57:40.7900822Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-12-04T08:57:40.7901773Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-12-04T08:57:40.7902391Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-12-04T08:57:40.7903610Z * [new tag] v1.9.1 -> v1.9.1 2025-12-04T08:57:40.7904745Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-12-04T08:57:40.7905378Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-12-04T08:57:40.7906388Z * [new tag] v2.0.0 -> v2.0.0 2025-12-04T08:57:40.7907260Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-12-04T08:57:40.7908162Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-12-04T08:57:40.7909120Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-12-04T08:57:40.7910034Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-12-04T08:57:40.7910942Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-12-04T08:57:40.7911599Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-12-04T08:57:40.7912610Z * [new tag] v2.0.1 -> v2.0.1 2025-12-04T08:57:40.7913641Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-12-04T08:57:40.7914185Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-12-04T08:57:40.7915119Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-12-04T08:57:40.7915687Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-12-04T08:57:40.7917203Z * [new tag] v2.1.0 -> v2.1.0 2025-12-04T08:57:40.7918057Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-12-04T08:57:40.7919033Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-12-04T08:57:40.7919991Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-12-04T08:57:40.7920968Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-12-04T08:57:40.7921947Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-12-04T08:57:40.7922517Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-12-04T08:57:40.7923555Z * [new tag] v2.1.1 -> v2.1.1 2025-12-04T08:57:40.7924549Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-12-04T08:57:40.7925479Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-12-04T08:57:40.7926546Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-12-04T08:57:40.7927465Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-12-04T08:57:40.7928364Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-12-04T08:57:40.7928996Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-12-04T08:57:40.7929895Z * [new tag] v2.1.2 -> v2.1.2 2025-12-04T08:57:40.7930888Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-12-04T08:57:40.7931815Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-12-04T08:57:40.7932567Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-12-04T08:57:40.7933549Z * [new tag] v2.2.0 -> v2.2.0 2025-12-04T08:57:40.7934427Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-12-04T08:57:40.7935338Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-12-04T08:57:40.7936224Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-12-04T08:57:40.7937124Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-12-04T08:57:40.7937969Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-12-04T08:57:40.7939346Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-12-04T08:57:40.7939970Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-12-04T08:57:40.7940711Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-12-04T08:57:40.7941752Z * [new tag] v2.2.1 -> v2.2.1 2025-12-04T08:57:40.7942661Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-12-04T08:57:40.7943328Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-12-04T08:57:40.7944120Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-12-04T08:57:40.7944791Z * [new tag] v2.2.2 -> v2.2.2 2025-12-04T08:57:40.7945932Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-12-04T08:57:40.7946528Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-12-04T08:57:40.7947248Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-12-04T08:57:40.7948270Z * [new tag] v2.3.0 -> v2.3.0 2025-12-04T08:57:40.7949154Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-12-04T08:57:40.7950246Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-12-04T08:57:40.7951187Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-12-04T08:57:40.7951745Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-12-04T08:57:40.7952835Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-12-04T08:57:40.7953760Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-12-04T08:57:40.7954626Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-12-04T08:57:40.7955574Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-12-04T08:57:40.7956202Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-12-04T08:57:40.7957178Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-12-04T08:57:40.7958147Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-12-04T08:57:40.7958739Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-12-04T08:57:40.7959470Z * [new tag] v2.3.1 -> v2.3.1 2025-12-04T08:57:40.7960654Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-12-04T08:57:40.7961509Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-12-04T08:57:40.7962501Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-12-04T08:57:40.7963505Z * [new tag] v2.4.0 -> v2.4.0 2025-12-04T08:57:40.7964361Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-12-04T08:57:40.7965283Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-12-04T08:57:40.7966201Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-12-04T08:57:40.7967056Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-12-04T08:57:40.7968077Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-12-04T08:57:40.7968984Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-12-04T08:57:40.7970074Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-12-04T08:57:40.7974284Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-12-04T08:57:40.7975337Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-12-04T08:57:40.7975908Z * [new tag] v2.4.1 -> v2.4.1 2025-12-04T08:57:40.7977028Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-12-04T08:57:40.7977964Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-12-04T08:57:40.7978930Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-12-04T08:57:40.7979834Z * [new tag] v2.5.0 -> v2.5.0 2025-12-04T08:57:40.7980726Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-12-04T08:57:40.7981362Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-12-04T08:57:40.7982402Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-12-04T08:57:40.7983327Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-12-04T08:57:40.7984393Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-12-04T08:57:40.7985286Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-12-04T08:57:40.7986275Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-12-04T08:57:40.7987172Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-12-04T08:57:40.7988125Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-12-04T08:57:40.7989055Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-12-04T08:57:40.7989726Z * [new tag] v2.5.1 -> v2.5.1 2025-12-04T08:57:40.7990518Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-12-04T08:57:40.7991081Z * [new tag] v2.6.0 -> v2.6.0 2025-12-04T08:57:40.7992136Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-12-04T08:57:40.7993233Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-12-04T08:57:40.7994176Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-12-04T08:57:40.7995025Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-12-04T08:57:40.7996181Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-12-04T08:57:40.7997213Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-12-04T08:57:40.7998129Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-12-04T08:57:40.7999168Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-12-04T08:57:40.8000493Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-12-04T08:57:40.8001672Z * [new tag] v2.7.0 -> v2.7.0 2025-12-04T08:57:40.8002617Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-12-04T08:57:40.8003284Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-12-04T08:57:40.8004379Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-12-04T08:57:40.8005309Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-12-04T08:57:40.8006262Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-12-04T08:57:40.8007155Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-12-04T08:57:40.8008045Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-12-04T08:57:40.8008953Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-12-04T08:57:40.8009945Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-12-04T08:57:40.8010927Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-12-04T08:57:40.8011506Z * [new tag] v2.7.1 -> v2.7.1 2025-12-04T08:57:40.8012674Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-12-04T08:57:40.8013636Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-12-04T08:57:40.8014630Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-12-04T08:57:40.8015633Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-12-04T08:57:40.8016541Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-12-04T08:57:40.8017240Z * [new tag] v2.8.0 -> v2.8.0 2025-12-04T08:57:40.8018226Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-12-04T08:57:40.8019130Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-12-04T08:57:40.8020181Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-12-04T08:57:40.8021138Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-12-04T08:57:40.8022145Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-12-04T08:57:40.8023134Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-12-04T08:57:40.8024290Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-12-04T08:57:40.8025258Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-12-04T08:57:40.8026230Z * [new tag] v2.9.0 -> v2.9.0 2025-12-04T08:57:40.8027206Z * [new tag] v2.9.0-rc1 -> v2.9.0-rc1 2025-12-04T08:57:40.8028149Z * [new tag] v2.9.0-rc10 -> v2.9.0-rc10 2025-12-04T08:57:40.8029117Z * [new tag] v2.9.0-rc11 -> v2.9.0-rc11 2025-12-04T08:57:40.8030371Z * [new tag] v2.9.0-rc2 -> v2.9.0-rc2 2025-12-04T08:57:40.8031267Z * [new tag] v2.9.0-rc3 -> v2.9.0-rc3 2025-12-04T08:57:40.8032195Z * [new tag] v2.9.0-rc4 -> v2.9.0-rc4 2025-12-04T08:57:40.8033204Z * [new tag] v2.9.0-rc5 -> v2.9.0-rc5 2025-12-04T08:57:40.8034381Z * [new tag] v2.9.0-rc6 -> v2.9.0-rc6 2025-12-04T08:57:40.8035331Z * [new tag] v2.9.0-rc7 -> v2.9.0-rc7 2025-12-04T08:57:40.8036481Z * [new tag] v2.9.0-rc8 -> v2.9.0-rc8 2025-12-04T08:57:40.8037111Z * [new tag] v2.9.0-rc9 -> v2.9.0-rc9 2025-12-04T08:57:40.8037980Z * [new tag] v2.9.1 -> v2.9.1 2025-12-04T08:57:40.8038867Z * [new tag] v2.9.1-rc1 -> v2.9.1-rc1 2025-12-04T08:57:40.8039859Z * [new tag] v2.9.1-rc2 -> v2.9.1-rc2 2025-12-04T08:57:40.8041171Z * [new tag] viable/strict/1759343184 -> viable/strict/1759343184 2025-12-04T08:57:40.8042096Z * [new tag] viable/strict/1759346540 -> viable/strict/1759346540 2025-12-04T08:57:40.8042903Z * [new tag] viable/strict/1759348181 -> viable/strict/1759348181 2025-12-04T08:57:40.8043806Z * [new tag] viable/strict/1759350324 -> viable/strict/1759350324 2025-12-04T08:57:40.8044585Z * [new tag] viable/strict/1759351793 -> viable/strict/1759351793 2025-12-04T08:57:40.8045521Z * [new tag] viable/strict/1759353844 -> viable/strict/1759353844 2025-12-04T08:57:40.8046403Z * [new tag] viable/strict/1759355374 -> viable/strict/1759355374 2025-12-04T08:57:40.8047206Z * [new tag] viable/strict/1759357472 -> viable/strict/1759357472 2025-12-04T08:57:40.8048131Z * [new tag] viable/strict/1759361002 -> viable/strict/1759361002 2025-12-04T08:57:40.8049252Z * [new tag] viable/strict/1759362585 -> viable/strict/1759362585 2025-12-04T08:57:40.8050308Z * [new tag] viable/strict/1759365359 -> viable/strict/1759365359 2025-12-04T08:57:40.8051257Z * [new tag] viable/strict/1759370089 -> viable/strict/1759370089 2025-12-04T08:57:40.8052238Z * [new tag] viable/strict/1759377554 -> viable/strict/1759377554 2025-12-04T08:57:40.8053261Z * [new tag] viable/strict/1759379133 -> viable/strict/1759379133 2025-12-04T08:57:40.8054173Z * [new tag] viable/strict/1759389871 -> viable/strict/1759389871 2025-12-04T08:57:40.8055070Z * [new tag] viable/strict/1759393562 -> viable/strict/1759393562 2025-12-04T08:57:40.8056016Z * [new tag] viable/strict/1759395076 -> viable/strict/1759395076 2025-12-04T08:57:40.8056944Z * [new tag] viable/strict/1759398579 -> viable/strict/1759398579 2025-12-04T08:57:40.8057872Z * [new tag] viable/strict/1759404142 -> viable/strict/1759404142 2025-12-04T08:57:40.8058679Z * [new tag] viable/strict/1759405773 -> viable/strict/1759405773 2025-12-04T08:57:40.8059648Z * [new tag] viable/strict/1759408041 -> viable/strict/1759408041 2025-12-04T08:57:40.8060509Z * [new tag] viable/strict/1759411593 -> viable/strict/1759411593 2025-12-04T08:57:40.8061397Z * [new tag] viable/strict/1759427395 -> viable/strict/1759427395 2025-12-04T08:57:40.8062254Z * [new tag] viable/strict/1759434582 -> viable/strict/1759434582 2025-12-04T08:57:40.8063195Z * [new tag] viable/strict/1759436720 -> viable/strict/1759436720 2025-12-04T08:57:40.8064182Z * [new tag] viable/strict/1759440219 -> viable/strict/1759440219 2025-12-04T08:57:40.8065092Z * [new tag] viable/strict/1759441948 -> viable/strict/1759441948 2025-12-04T08:57:40.8066066Z * [new tag] viable/strict/1759443860 -> viable/strict/1759443860 2025-12-04T08:57:40.8066838Z * [new tag] viable/strict/1759445377 -> viable/strict/1759445377 2025-12-04T08:57:40.8067849Z * [new tag] viable/strict/1759447415 -> viable/strict/1759447415 2025-12-04T08:57:40.8068742Z * [new tag] viable/strict/1759451750 -> viable/strict/1759451750 2025-12-04T08:57:40.8069807Z * [new tag] viable/strict/1759453910 -> viable/strict/1759453910 2025-12-04T08:57:40.8070802Z * [new tag] viable/strict/1759456483 -> viable/strict/1759456483 2025-12-04T08:57:40.8071741Z * [new tag] viable/strict/1759459279 -> viable/strict/1759459279 2025-12-04T08:57:40.8072639Z * [new tag] viable/strict/1759460742 -> viable/strict/1759460742 2025-12-04T08:57:40.8073543Z * [new tag] viable/strict/1759462025 -> viable/strict/1759462025 2025-12-04T08:57:40.8074427Z * [new tag] viable/strict/1759469086 -> viable/strict/1759469086 2025-12-04T08:57:40.8075435Z * [new tag] viable/strict/1759470581 -> viable/strict/1759470581 2025-12-04T08:57:40.8076190Z * [new tag] viable/strict/1759472786 -> viable/strict/1759472786 2025-12-04T08:57:40.8077174Z * [new tag] viable/strict/1759476294 -> viable/strict/1759476294 2025-12-04T08:57:40.8078036Z * [new tag] viable/strict/1759479963 -> viable/strict/1759479963 2025-12-04T08:57:40.8078908Z * [new tag] viable/strict/1759492177 -> viable/strict/1759492177 2025-12-04T08:57:40.8079865Z * [new tag] viable/strict/1759519278 -> viable/strict/1759519278 2025-12-04T08:57:40.8080734Z * [new tag] viable/strict/1759524580 -> viable/strict/1759524580 2025-12-04T08:57:40.8081623Z * [new tag] viable/strict/1759528193 -> viable/strict/1759528193 2025-12-04T08:57:40.8082971Z * [new tag] viable/strict/1759533797 -> viable/strict/1759533797 2025-12-04T08:57:40.8083762Z * [new tag] viable/strict/1759542780 -> viable/strict/1759542780 2025-12-04T08:57:40.8084698Z * [new tag] viable/strict/1759549779 -> viable/strict/1759549779 2025-12-04T08:57:40.8085654Z * [new tag] viable/strict/1759555455 -> viable/strict/1759555455 2025-12-04T08:57:40.8086521Z * [new tag] viable/strict/1759559176 -> viable/strict/1759559176 2025-12-04T08:57:40.8087475Z * [new tag] viable/strict/1759560629 -> viable/strict/1759560629 2025-12-04T08:57:40.8088358Z * [new tag] viable/strict/1759569848 -> viable/strict/1759569848 2025-12-04T08:57:40.8089849Z * [new tag] viable/strict/1759571382 -> viable/strict/1759571382 2025-12-04T08:57:40.8090798Z * [new tag] viable/strict/1759573474 -> viable/strict/1759573474 2025-12-04T08:57:40.8091729Z * [new tag] viable/strict/1759618187 -> viable/strict/1759618187 2025-12-04T08:57:40.8092648Z * [new tag] viable/strict/1759626742 -> viable/strict/1759626742 2025-12-04T08:57:40.8093553Z * [new tag] viable/strict/1759632427 -> viable/strict/1759632427 2025-12-04T08:57:40.8094427Z * [new tag] viable/strict/1759634971 -> viable/strict/1759634971 2025-12-04T08:57:40.8095920Z * [new tag] viable/strict/1759661382 -> viable/strict/1759661382 2025-12-04T08:57:40.8096763Z * [new tag] viable/strict/1759663294 -> viable/strict/1759663294 2025-12-04T08:57:40.8097529Z * [new tag] viable/strict/1759708178 -> viable/strict/1759708178 2025-12-04T08:57:40.8098598Z * [new tag] viable/strict/1759715695 -> viable/strict/1759715695 2025-12-04T08:57:40.8099716Z * [new tag] viable/strict/1759728293 -> viable/strict/1759728293 2025-12-04T08:57:40.8100706Z * [new tag] viable/strict/1759735513 -> viable/strict/1759735513 2025-12-04T08:57:40.8101575Z * [new tag] viable/strict/1759739177 -> viable/strict/1759739177 2025-12-04T08:57:40.8102483Z * [new tag] viable/strict/1759758635 -> viable/strict/1759758635 2025-12-04T08:57:40.8103422Z * [new tag] viable/strict/1759765784 -> viable/strict/1759765784 2025-12-04T08:57:40.8104383Z * [new tag] viable/strict/1759767948 -> viable/strict/1759767948 2025-12-04T08:57:40.8105296Z * [new tag] viable/strict/1759771461 -> viable/strict/1759771461 2025-12-04T08:57:40.8106118Z * [new tag] viable/strict/1759776706 -> viable/strict/1759776706 2025-12-04T08:57:40.8107112Z * [new tag] viable/strict/1759782317 -> viable/strict/1759782317 2025-12-04T08:57:40.8108113Z * [new tag] viable/strict/1759783777 -> viable/strict/1759783777 2025-12-04T08:57:40.8109045Z * [new tag] viable/strict/1759785815 -> viable/strict/1759785815 2025-12-04T08:57:40.8109952Z * [new tag] viable/strict/1759789459 -> viable/strict/1759789459 2025-12-04T08:57:40.8110897Z * [new tag] viable/strict/1759790974 -> viable/strict/1759790974 2025-12-04T08:57:40.8111713Z * [new tag] viable/strict/1759794583 -> viable/strict/1759794583 2025-12-04T08:57:40.8112638Z * [new tag] viable/strict/1759797408 -> viable/strict/1759797408 2025-12-04T08:57:40.8113611Z * [new tag] viable/strict/1759799518 -> viable/strict/1759799518 2025-12-04T08:57:40.8114561Z * [new tag] viable/strict/1759804909 -> viable/strict/1759804909 2025-12-04T08:57:40.8115536Z * [new tag] viable/strict/1759807643 -> viable/strict/1759807643 2025-12-04T08:57:40.8116518Z * [new tag] viable/strict/1759809089 -> viable/strict/1759809089 2025-12-04T08:57:40.8117407Z * [new tag] viable/strict/1759811145 -> viable/strict/1759811145 2025-12-04T08:57:40.8118282Z * [new tag] viable/strict/1759812581 -> viable/strict/1759812581 2025-12-04T08:57:40.8119228Z * [new tag] viable/strict/1759814683 -> viable/strict/1759814683 2025-12-04T08:57:40.8120106Z * [new tag] viable/strict/1759821889 -> viable/strict/1759821889 2025-12-04T08:57:40.8121094Z * [new tag] viable/strict/1759823376 -> viable/strict/1759823376 2025-12-04T08:57:40.8121957Z * [new tag] viable/strict/1759827107 -> viable/strict/1759827107 2025-12-04T08:57:40.8122860Z * [new tag] viable/strict/1759830577 -> viable/strict/1759830577 2025-12-04T08:57:40.8123808Z * [new tag] viable/strict/1759832720 -> viable/strict/1759832720 2025-12-04T08:57:40.8124734Z * [new tag] viable/strict/1759842063 -> viable/strict/1759842063 2025-12-04T08:57:40.8125596Z * [new tag] viable/strict/1759847121 -> viable/strict/1759847121 2025-12-04T08:57:40.8126993Z * [new tag] viable/strict/1759850721 -> viable/strict/1759850721 2025-12-04T08:57:40.8127696Z * [new tag] viable/strict/1759857870 -> viable/strict/1759857870 2025-12-04T08:57:40.8128627Z * [new tag] viable/strict/1759863143 -> viable/strict/1759863143 2025-12-04T08:57:40.8129496Z * [new tag] viable/strict/1759875874 -> viable/strict/1759875874 2025-12-04T08:57:40.8130256Z * [new tag] viable/strict/1759877385 -> viable/strict/1759877385 2025-12-04T08:57:40.8131162Z * [new tag] viable/strict/1759883801 -> viable/strict/1759883801 2025-12-04T08:57:40.8132085Z * [new tag] viable/strict/1759885922 -> viable/strict/1759885922 2025-12-04T08:57:40.8133028Z * [new tag] viable/strict/1759888488 -> viable/strict/1759888488 2025-12-04T08:57:40.8133868Z * [new tag] viable/strict/1759895471 -> viable/strict/1759895471 2025-12-04T08:57:40.8134791Z * [new tag] viable/strict/1759904803 -> viable/strict/1759904803 2025-12-04T08:57:40.8135916Z * [new tag] viable/strict/1759908300 -> viable/strict/1759908300 2025-12-04T08:57:40.8136827Z * [new tag] viable/strict/1759915520 -> viable/strict/1759915520 2025-12-04T08:57:40.8137704Z * [new tag] viable/strict/1759916978 -> viable/strict/1759916978 2025-12-04T08:57:40.8138460Z * [new tag] viable/strict/1759930024 -> viable/strict/1759930024 2025-12-04T08:57:40.8139390Z * [new tag] viable/strict/1759948122 -> viable/strict/1759948122 2025-12-04T08:57:40.8140357Z * [new tag] viable/strict/1759952983 -> viable/strict/1759952983 2025-12-04T08:57:40.8141343Z * [new tag] viable/strict/1759955121 -> viable/strict/1759955121 2025-12-04T08:57:40.8142166Z * [new tag] viable/strict/1759962298 -> viable/strict/1759962298 2025-12-04T08:57:40.8143212Z * [new tag] viable/strict/1759965837 -> viable/strict/1759965837 2025-12-04T08:57:40.8144273Z * [new tag] viable/strict/1759970213 -> viable/strict/1759970213 2025-12-04T08:57:40.8145225Z * [new tag] viable/strict/1759974894 -> viable/strict/1759974894 2025-12-04T08:57:40.8146113Z * [new tag] viable/strict/1759977763 -> viable/strict/1759977763 2025-12-04T08:57:40.8147071Z * [new tag] viable/strict/1759979241 -> viable/strict/1759979241 2025-12-04T08:57:40.8148433Z * [new tag] viable/strict/1759985417 -> viable/strict/1759985417 2025-12-04T08:57:40.8149240Z * [new tag] viable/strict/1759987490 -> viable/strict/1759987490 2025-12-04T08:57:40.8150239Z * [new tag] viable/strict/1759996180 -> viable/strict/1759996180 2025-12-04T08:57:40.8151133Z * [new tag] viable/strict/1760065682 -> viable/strict/1760065682 2025-12-04T08:57:40.8152072Z * [new tag] viable/strict/1760066894 -> viable/strict/1760066894 2025-12-04T08:57:40.8152994Z * [new tag] viable/strict/1760070345 -> viable/strict/1760070345 2025-12-04T08:57:40.8153922Z * [new tag] viable/strict/1760089782 -> viable/strict/1760089782 2025-12-04T08:57:40.8154883Z * [new tag] viable/strict/1760091921 -> viable/strict/1760091921 2025-12-04T08:57:40.8156258Z * [new tag] viable/strict/1760127924 -> viable/strict/1760127924 2025-12-04T08:57:40.8157078Z * [new tag] viable/strict/1760129489 -> viable/strict/1760129489 2025-12-04T08:57:40.8158054Z * [new tag] viable/strict/1760132980 -> viable/strict/1760132980 2025-12-04T08:57:40.8159056Z * [new tag] viable/strict/1760135060 -> viable/strict/1760135060 2025-12-04T08:57:40.8159958Z * [new tag] viable/strict/1760215782 -> viable/strict/1760215782 2025-12-04T08:57:40.8160909Z * [new tag] viable/strict/1760273849 -> viable/strict/1760273849 2025-12-04T08:57:40.8161822Z * [new tag] viable/strict/1760275517 -> viable/strict/1760275517 2025-12-04T08:57:40.8162729Z * [new tag] viable/strict/1760276979 -> viable/strict/1760276979 2025-12-04T08:57:40.8163779Z * [new tag] viable/strict/1760279007 -> viable/strict/1760279007 2025-12-04T08:57:40.8164594Z * [new tag] viable/strict/1760286328 -> viable/strict/1760286328 2025-12-04T08:57:40.8165360Z * [new tag] viable/strict/1760493304 -> viable/strict/1760493304 2025-12-04T08:57:40.8166233Z * [new tag] viable/strict/1760496298 -> viable/strict/1760496298 2025-12-04T08:57:40.8167230Z * [new tag] viable/strict/1760518396 -> viable/strict/1760518396 2025-12-04T08:57:40.8168079Z * [new tag] viable/strict/1760534864 -> viable/strict/1760534864 2025-12-04T08:57:40.8169026Z * [new tag] viable/strict/1760549062 -> viable/strict/1760549062 2025-12-04T08:57:40.8170030Z * [new tag] viable/strict/1760552799 -> viable/strict/1760552799 2025-12-04T08:57:40.8171158Z * [new tag] viable/strict/1760554355 -> viable/strict/1760554355 2025-12-04T08:57:40.8172050Z * [new tag] viable/strict/1760556275 -> viable/strict/1760556275 2025-12-04T08:57:40.8173035Z * [new tag] viable/strict/1760564979 -> viable/strict/1760564979 2025-12-04T08:57:40.8174087Z * [new tag] viable/strict/1760567049 -> viable/strict/1760567049 2025-12-04T08:57:40.8175533Z * [new tag] viable/strict/1760568585 -> viable/strict/1760568585 2025-12-04T08:57:40.8176288Z * [new tag] viable/strict/1760570630 -> viable/strict/1760570630 2025-12-04T08:57:40.8177214Z * [new tag] viable/strict/1760572180 -> viable/strict/1760572180 2025-12-04T08:57:40.8178203Z * [new tag] viable/strict/1760575094 -> viable/strict/1760575094 2025-12-04T08:57:40.8179198Z * [new tag] viable/strict/1760579709 -> viable/strict/1760579709 2025-12-04T08:57:40.8180614Z * [new tag] viable/strict/1760582614 -> viable/strict/1760582614 2025-12-04T08:57:40.8181525Z * [new tag] viable/strict/1760586815 -> viable/strict/1760586815 2025-12-04T08:57:40.8182337Z * [new tag] viable/strict/1760588829 -> viable/strict/1760588829 2025-12-04T08:57:40.8183239Z * [new tag] viable/strict/1760590200 -> viable/strict/1760590200 2025-12-04T08:57:40.8184282Z * [new tag] viable/strict/1760592311 -> viable/strict/1760592311 2025-12-04T08:57:40.8185199Z * [new tag] viable/strict/1760619733 -> viable/strict/1760619733 2025-12-04T08:57:40.8185981Z * [new tag] viable/strict/1760628335 -> viable/strict/1760628335 2025-12-04T08:57:40.8186874Z * [new tag] viable/strict/1760635490 -> viable/strict/1760635490 2025-12-04T08:57:40.8187759Z * [new tag] viable/strict/1760640743 -> viable/strict/1760640743 2025-12-04T08:57:40.8188655Z * [new tag] viable/strict/1760642528 -> viable/strict/1760642528 2025-12-04T08:57:40.8189557Z * [new tag] viable/strict/1760646330 -> viable/strict/1760646330 2025-12-04T08:57:40.8190466Z * [new tag] viable/strict/1760666101 -> viable/strict/1760666101 2025-12-04T08:57:40.8191420Z * [new tag] viable/strict/1760668990 -> viable/strict/1760668990 2025-12-04T08:57:40.8192324Z * [new tag] viable/strict/1760670600 -> viable/strict/1760670600 2025-12-04T08:57:40.8193239Z * [new tag] viable/strict/1760671704 -> viable/strict/1760671704 2025-12-04T08:57:40.8194148Z * [new tag] viable/strict/1760673121 -> viable/strict/1760673121 2025-12-04T08:57:40.8195037Z * [new tag] viable/strict/1760675352 -> viable/strict/1760675352 2025-12-04T08:57:40.8196003Z * [new tag] viable/strict/1760696731 -> viable/strict/1760696731 2025-12-04T08:57:40.8198481Z * [new tag] viable/strict/1760723515 -> viable/strict/1760723515 2025-12-04T08:57:40.8199275Z * [new tag] viable/strict/1760727234 -> viable/strict/1760727234 2025-12-04T08:57:40.8200198Z * [new tag] viable/strict/1760730578 -> viable/strict/1760730578 2025-12-04T08:57:40.8201147Z * [new tag] viable/strict/1760732726 -> viable/strict/1760732726 2025-12-04T08:57:40.8202089Z * [new tag] viable/strict/1760734180 -> viable/strict/1760734180 2025-12-04T08:57:40.8203049Z * [new tag] viable/strict/1760736251 -> viable/strict/1760736251 2025-12-04T08:57:40.8203908Z * [new tag] viable/strict/1760737772 -> viable/strict/1760737772 2025-12-04T08:57:40.8204868Z * [new tag] viable/strict/1760758005 -> viable/strict/1760758005 2025-12-04T08:57:40.8205851Z * [new tag] viable/strict/1760761532 -> viable/strict/1760761532 2025-12-04T08:57:40.8206877Z * [new tag] viable/strict/1760802581 -> viable/strict/1760802581 2025-12-04T08:57:40.8207755Z * [new tag] viable/strict/1760827772 -> viable/strict/1760827772 2025-12-04T08:57:40.8208684Z * [new tag] viable/strict/1760834524 -> viable/strict/1760834524 2025-12-04T08:57:40.8209653Z * [new tag] viable/strict/1760845009 -> viable/strict/1760845009 2025-12-04T08:57:40.8210606Z * [new tag] viable/strict/1760876836 -> viable/strict/1760876836 2025-12-04T08:57:40.8211515Z * [new tag] viable/strict/1760880329 -> viable/strict/1760880329 2025-12-04T08:57:40.8212399Z * [new tag] viable/strict/1760888987 -> viable/strict/1760888987 2025-12-04T08:57:40.8213270Z * [new tag] viable/strict/1760912664 -> viable/strict/1760912664 2025-12-04T08:57:40.8214153Z * [new tag] viable/strict/1760925321 -> viable/strict/1760925321 2025-12-04T08:57:40.8215089Z * [new tag] viable/strict/1760931488 -> viable/strict/1760931488 2025-12-04T08:57:40.8216000Z * [new tag] viable/strict/1760932693 -> viable/strict/1760932693 2025-12-04T08:57:40.8216948Z * [new tag] viable/strict/1761004184 -> viable/strict/1761004184 2025-12-04T08:57:40.8218402Z * [new tag] viable/strict/1761014748 -> viable/strict/1761014748 2025-12-04T08:57:40.8219155Z * [new tag] viable/strict/1761017491 -> viable/strict/1761017491 2025-12-04T08:57:40.8220076Z * [new tag] viable/strict/1761018806 -> viable/strict/1761018806 2025-12-04T08:57:40.8221100Z * [new tag] viable/strict/1761020754 -> viable/strict/1761020754 2025-12-04T08:57:40.8222003Z * [new tag] viable/strict/1761024303 -> viable/strict/1761024303 2025-12-04T08:57:40.8222862Z * [new tag] viable/strict/1761029582 -> viable/strict/1761029582 2025-12-04T08:57:40.8223843Z * [new tag] viable/strict/1761031535 -> viable/strict/1761031535 2025-12-04T08:57:40.8224772Z * [new tag] viable/strict/1761035196 -> viable/strict/1761035196 2025-12-04T08:57:40.8225824Z * [new tag] viable/strict/1761045825 -> viable/strict/1761045825 2025-12-04T08:57:40.8226752Z * [new tag] viable/strict/1761054796 -> viable/strict/1761054796 2025-12-04T08:57:40.8227672Z * [new tag] viable/strict/1761060314 -> viable/strict/1761060314 2025-12-04T08:57:40.8228629Z * [new tag] viable/strict/1761071198 -> viable/strict/1761071198 2025-12-04T08:57:40.8229596Z * [new tag] viable/strict/1761074628 -> viable/strict/1761074628 2025-12-04T08:57:40.8230512Z * [new tag] viable/strict/1761078351 -> viable/strict/1761078351 2025-12-04T08:57:40.8231452Z * [new tag] viable/strict/1761079822 -> viable/strict/1761079822 2025-12-04T08:57:40.8232334Z * [new tag] viable/strict/1761081873 -> viable/strict/1761081873 2025-12-04T08:57:40.8233246Z * [new tag] viable/strict/1761083392 -> viable/strict/1761083392 2025-12-04T08:57:40.8234208Z * [new tag] viable/strict/1761085465 -> viable/strict/1761085465 2025-12-04T08:57:40.8235174Z * [new tag] viable/strict/1761089099 -> viable/strict/1761089099 2025-12-04T08:57:40.8236193Z * [new tag] viable/strict/1761095535 -> viable/strict/1761095535 2025-12-04T08:57:40.8237130Z * [new tag] viable/strict/1761098119 -> viable/strict/1761098119 2025-12-04T08:57:40.8238580Z * [new tag] viable/strict/1761101330 -> viable/strict/1761101330 2025-12-04T08:57:40.8239407Z * [new tag] viable/strict/1761114425 -> viable/strict/1761114425 2025-12-04T08:57:40.8240371Z * [new tag] viable/strict/1761116036 -> viable/strict/1761116036 2025-12-04T08:57:40.8241251Z * [new tag] viable/strict/1761119379 -> viable/strict/1761119379 2025-12-04T08:57:40.8242172Z * [new tag] viable/strict/1761121601 -> viable/strict/1761121601 2025-12-04T08:57:40.8243071Z * [new tag] viable/strict/1761123234 -> viable/strict/1761123234 2025-12-04T08:57:40.8243988Z * [new tag] viable/strict/1761126621 -> viable/strict/1761126621 2025-12-04T08:57:40.8244871Z * [new tag] viable/strict/1761132259 -> viable/strict/1761132259 2025-12-04T08:57:40.8245833Z * [new tag] viable/strict/1761146746 -> viable/strict/1761146746 2025-12-04T08:57:40.8246753Z * [new tag] viable/strict/1761164752 -> viable/strict/1761164752 2025-12-04T08:57:40.8247676Z * [new tag] viable/strict/1761166198 -> viable/strict/1761166198 2025-12-04T08:57:40.8248633Z * [new tag] viable/strict/1761175424 -> viable/strict/1761175424 2025-12-04T08:57:40.8249558Z * [new tag] viable/strict/1761176983 -> viable/strict/1761176983 2025-12-04T08:57:40.8250573Z * [new tag] viable/strict/1761179891 -> viable/strict/1761179891 2025-12-04T08:57:40.8251532Z * [new tag] viable/strict/1761181930 -> viable/strict/1761181930 2025-12-04T08:57:40.8252476Z * [new tag] viable/strict/1761184516 -> viable/strict/1761184516 2025-12-04T08:57:40.8253483Z * [new tag] viable/strict/1761190179 -> viable/strict/1761190179 2025-12-04T08:57:40.8254386Z * [new tag] viable/strict/1761193558 -> viable/strict/1761193558 2025-12-04T08:57:40.8255266Z * [new tag] viable/strict/1761207990 -> viable/strict/1761207990 2025-12-04T08:57:40.8256188Z * [new tag] viable/strict/1761229539 -> viable/strict/1761229539 2025-12-04T08:57:40.8257477Z * [new tag] viable/strict/1761244031 -> viable/strict/1761244031 2025-12-04T08:57:40.8258277Z * [new tag] viable/strict/1761248986 -> viable/strict/1761248986 2025-12-04T08:57:40.8259234Z * [new tag] viable/strict/1761259791 -> viable/strict/1761259791 2025-12-04T08:57:40.8260093Z * [new tag] viable/strict/1761266139 -> viable/strict/1761266139 2025-12-04T08:57:40.8261137Z * [new tag] viable/strict/1761268316 -> viable/strict/1761268316 2025-12-04T08:57:40.8262006Z * [new tag] viable/strict/1761273805 -> viable/strict/1761273805 2025-12-04T08:57:40.8262925Z * [new tag] viable/strict/1761275261 -> viable/strict/1761275261 2025-12-04T08:57:40.8264025Z * [new tag] viable/strict/1761277913 -> viable/strict/1761277913 2025-12-04T08:57:40.8265008Z * [new tag] viable/strict/1761290701 -> viable/strict/1761290701 2025-12-04T08:57:40.8265974Z * [new tag] viable/strict/1761294396 -> viable/strict/1761294396 2025-12-04T08:57:40.8266975Z * [new tag] viable/strict/1761303047 -> viable/strict/1761303047 2025-12-04T08:57:40.8267991Z * [new tag] viable/strict/1761335388 -> viable/strict/1761335388 2025-12-04T08:57:40.8268921Z * [new tag] viable/strict/1761337551 -> viable/strict/1761337551 2025-12-04T08:57:40.8270019Z * [new tag] viable/strict/1761339007 -> viable/strict/1761339007 2025-12-04T08:57:40.8271010Z * [new tag] viable/strict/1761341050 -> viable/strict/1761341050 2025-12-04T08:57:40.8272092Z * [new tag] viable/strict/1761346188 -> viable/strict/1761346188 2025-12-04T08:57:40.8272979Z * [new tag] viable/strict/1761349792 -> viable/strict/1761349792 2025-12-04T08:57:40.8273985Z * [new tag] viable/strict/1761352620 -> viable/strict/1761352620 2025-12-04T08:57:40.8274913Z * [new tag] viable/strict/1761354730 -> viable/strict/1761354730 2025-12-04T08:57:40.8275850Z * [new tag] viable/strict/1761357298 -> viable/strict/1761357298 2025-12-04T08:57:40.8276743Z * [new tag] viable/strict/1761360201 -> viable/strict/1761360201 2025-12-04T08:57:40.8277699Z * [new tag] viable/strict/1761361753 -> viable/strict/1761361753 2025-12-04T08:57:40.8278611Z * [new tag] viable/strict/1761364351 -> viable/strict/1761364351 2025-12-04T08:57:40.8280008Z * [new tag] viable/strict/1761366338 -> viable/strict/1761366338 2025-12-04T08:57:40.8280949Z * [new tag] viable/strict/1761367802 -> viable/strict/1761367802 2025-12-04T08:57:40.8281899Z * [new tag] viable/strict/1761369889 -> viable/strict/1761369889 2025-12-04T08:57:40.8282905Z * [new tag] viable/strict/1761371385 -> viable/strict/1761371385 2025-12-04T08:57:40.8283804Z * [new tag] viable/strict/1761373581 -> viable/strict/1761373581 2025-12-04T08:57:40.8284839Z * [new tag] viable/strict/1761375054 -> viable/strict/1761375054 2025-12-04T08:57:40.8285830Z * [new tag] viable/strict/1761421785 -> viable/strict/1761421785 2025-12-04T08:57:40.8286829Z * [new tag] viable/strict/1761434614 -> viable/strict/1761434614 2025-12-04T08:57:40.8288141Z * [new tag] viable/strict/1761439254 -> viable/strict/1761439254 2025-12-04T08:57:40.8289036Z * [new tag] viable/strict/1761454187 -> viable/strict/1761454187 2025-12-04T08:57:40.8290086Z * [new tag] viable/strict/1761459991 -> viable/strict/1761459991 2025-12-04T08:57:40.8291179Z * [new tag] viable/strict/1761470668 -> viable/strict/1761470668 2025-12-04T08:57:40.8292586Z * [new tag] viable/strict/1761472188 -> viable/strict/1761472188 2025-12-04T08:57:40.8293411Z * [new tag] viable/strict/1761503178 -> viable/strict/1761503178 2025-12-04T08:57:40.8294357Z * [new tag] viable/strict/1761517492 -> viable/strict/1761517492 2025-12-04T08:57:40.8295271Z * [new tag] viable/strict/1761518981 -> viable/strict/1761518981 2025-12-04T08:57:40.8296302Z * [new tag] viable/strict/1761533609 -> viable/strict/1761533609 2025-12-04T08:57:40.8297096Z * [new tag] viable/strict/1761546438 -> viable/strict/1761546438 2025-12-04T08:57:40.8298105Z * [new tag] viable/strict/1761548133 -> viable/strict/1761548133 2025-12-04T08:57:40.8299467Z * [new tag] viable/strict/1761555186 -> viable/strict/1761555186 2025-12-04T08:57:40.8300392Z * [new tag] viable/strict/1761557178 -> viable/strict/1761557178 2025-12-04T08:57:40.8301355Z * [new tag] viable/strict/1761560772 -> viable/strict/1761560772 2025-12-04T08:57:40.8302331Z * [new tag] viable/strict/1761562266 -> viable/strict/1761562266 2025-12-04T08:57:40.8303273Z * [new tag] viable/strict/1761564260 -> viable/strict/1761564260 2025-12-04T08:57:40.8304326Z * [new tag] viable/strict/1761568072 -> viable/strict/1761568072 2025-12-04T08:57:40.8305248Z * [new tag] viable/strict/1761571683 -> viable/strict/1761571683 2025-12-04T08:57:40.8306051Z * [new tag] viable/strict/1761580199 -> viable/strict/1761580199 2025-12-04T08:57:40.8307019Z * [new tag] viable/strict/1761587383 -> viable/strict/1761587383 2025-12-04T08:57:40.8308105Z * [new tag] viable/strict/1761591165 -> viable/strict/1761591165 2025-12-04T08:57:40.8308947Z * [new tag] viable/strict/1761594575 -> viable/strict/1761594575 2025-12-04T08:57:40.8309894Z * [new tag] viable/strict/1761596710 -> viable/strict/1761596710 2025-12-04T08:57:40.8310813Z * [new tag] viable/strict/1761598189 -> viable/strict/1761598189 2025-12-04T08:57:40.8311800Z * [new tag] viable/strict/1761600254 -> viable/strict/1761600254 2025-12-04T08:57:40.8312723Z * [new tag] viable/strict/1761603879 -> viable/strict/1761603879 2025-12-04T08:57:40.8313669Z * [new tag] viable/strict/1761605429 -> viable/strict/1761605429 2025-12-04T08:57:40.8314672Z * [new tag] viable/strict/1761607468 -> viable/strict/1761607468 2025-12-04T08:57:40.8315637Z * [new tag] viable/strict/1761608983 -> viable/strict/1761608983 2025-12-04T08:57:40.8316636Z * [new tag] viable/strict/1761611846 -> viable/strict/1761611846 2025-12-04T08:57:40.8317605Z * [new tag] viable/strict/1761613922 -> viable/strict/1761613922 2025-12-04T08:57:40.8318457Z * [new tag] viable/strict/1761616504 -> viable/strict/1761616504 2025-12-04T08:57:40.8319274Z * [new tag] viable/strict/1761619599 -> viable/strict/1761619599 2025-12-04T08:57:40.8320224Z * [new tag] viable/strict/1761686693 -> viable/strict/1761686693 2025-12-04T08:57:40.8321136Z * [new tag] viable/strict/1761688179 -> viable/strict/1761688179 2025-12-04T08:57:40.8322056Z * [new tag] viable/strict/1761691973 -> viable/strict/1761691973 2025-12-04T08:57:40.8323076Z * [new tag] viable/strict/1761693884 -> viable/strict/1761693884 2025-12-04T08:57:40.8324045Z * [new tag] viable/strict/1761695389 -> viable/strict/1761695389 2025-12-04T08:57:40.8325072Z * [new tag] viable/strict/1761698408 -> viable/strict/1761698408 2025-12-04T08:57:40.8325974Z * [new tag] viable/strict/1761702931 -> viable/strict/1761702931 2025-12-04T08:57:40.8326923Z * [new tag] viable/strict/1761706307 -> viable/strict/1761706307 2025-12-04T08:57:40.8327876Z * [new tag] viable/strict/1761709065 -> viable/strict/1761709065 2025-12-04T08:57:40.8328885Z * [new tag] viable/strict/1761710285 -> viable/strict/1761710285 2025-12-04T08:57:40.8329976Z * [new tag] viable/strict/1761711983 -> viable/strict/1761711983 2025-12-04T08:57:40.8330973Z * [new tag] viable/strict/1761713514 -> viable/strict/1761713514 2025-12-04T08:57:40.8332049Z * [new tag] viable/strict/1761715523 -> viable/strict/1761715523 2025-12-04T08:57:40.8333014Z * [new tag] viable/strict/1761727973 -> viable/strict/1761727973 2025-12-04T08:57:40.8334034Z * [new tag] viable/strict/1761751558 -> viable/strict/1761751558 2025-12-04T08:57:40.8335013Z * [new tag] viable/strict/1761755187 -> viable/strict/1761755187 2025-12-04T08:57:40.8336021Z * [new tag] viable/strict/1761756826 -> viable/strict/1761756826 2025-12-04T08:57:40.8336998Z * [new tag] viable/strict/1761769551 -> viable/strict/1761769551 2025-12-04T08:57:40.8338048Z * [new tag] viable/strict/1761771032 -> viable/strict/1761771032 2025-12-04T08:57:40.8338848Z * [new tag] viable/strict/1761773101 -> viable/strict/1761773101 2025-12-04T08:57:40.8339869Z * [new tag] viable/strict/1761781792 -> viable/strict/1761781792 2025-12-04T08:57:40.8340866Z * [new tag] viable/strict/1761784788 -> viable/strict/1761784788 2025-12-04T08:57:40.8341826Z * [new tag] viable/strict/1761786740 -> viable/strict/1761786740 2025-12-04T08:57:40.8343462Z * [new tag] viable/strict/1761789332 -> viable/strict/1761789332 2025-12-04T08:57:40.8344889Z * [new tag] viable/strict/1761792569 -> viable/strict/1761792569 2025-12-04T08:57:40.8347252Z * [new tag] viable/strict/1761795289 -> viable/strict/1761795289 2025-12-04T08:57:40.8347757Z * [new tag] viable/strict/1761798345 -> viable/strict/1761798345 2025-12-04T08:57:40.8348449Z * [new tag] viable/strict/1761799827 -> viable/strict/1761799827 2025-12-04T08:57:40.8348955Z * [new tag] viable/strict/1761805604 -> viable/strict/1761805604 2025-12-04T08:57:40.8349718Z * [new tag] viable/strict/1761807202 -> viable/strict/1761807202 2025-12-04T08:57:40.8350664Z * [new tag] viable/strict/1761809094 -> viable/strict/1761809094 2025-12-04T08:57:40.8351629Z * [new tag] viable/strict/1761810576 -> viable/strict/1761810576 2025-12-04T08:57:40.8352627Z * [new tag] viable/strict/1761812771 -> viable/strict/1761812771 2025-12-04T08:57:40.8353623Z * [new tag] viable/strict/1761814363 -> viable/strict/1761814363 2025-12-04T08:57:40.8354616Z * [new tag] viable/strict/1761857410 -> viable/strict/1761857410 2025-12-04T08:57:40.8355630Z * [new tag] viable/strict/1761860985 -> viable/strict/1761860985 2025-12-04T08:57:40.8356577Z * [new tag] viable/strict/1761863094 -> viable/strict/1761863094 2025-12-04T08:57:40.8357573Z * [new tag] viable/strict/1761864590 -> viable/strict/1761864590 2025-12-04T08:57:40.8358526Z * [new tag] viable/strict/1761866675 -> viable/strict/1761866675 2025-12-04T08:57:40.8359722Z * [new tag] viable/strict/1761868178 -> viable/strict/1761868178 2025-12-04T08:57:40.8360601Z * [new tag] viable/strict/1761871111 -> viable/strict/1761871111 2025-12-04T08:57:40.8361628Z * [new tag] viable/strict/1761873126 -> viable/strict/1761873126 2025-12-04T08:57:40.8362723Z * [new tag] viable/strict/1761875714 -> viable/strict/1761875714 2025-12-04T08:57:40.8363700Z * [new tag] viable/strict/1761878924 -> viable/strict/1761878924 2025-12-04T08:57:40.8364678Z * [new tag] viable/strict/1761881727 -> viable/strict/1761881727 2025-12-04T08:57:40.8365634Z * [new tag] viable/strict/1761882959 -> viable/strict/1761882959 2025-12-04T08:57:40.8366591Z * [new tag] viable/strict/1761886268 -> viable/strict/1761886268 2025-12-04T08:57:40.8367579Z * [new tag] viable/strict/1761893641 -> viable/strict/1761893641 2025-12-04T08:57:40.8368565Z * [new tag] viable/strict/1761931517 -> viable/strict/1761931517 2025-12-04T08:57:40.8369527Z * [new tag] viable/strict/1761933080 -> viable/strict/1761933080 2025-12-04T08:57:40.8374689Z * [new tag] viable/strict/1761935217 -> viable/strict/1761935217 2025-12-04T08:57:40.8375733Z * [new tag] viable/strict/1761938533 -> viable/strict/1761938533 2025-12-04T08:57:40.8376798Z * [new tag] viable/strict/1761940184 -> viable/strict/1761940184 2025-12-04T08:57:40.8377777Z * [new tag] viable/strict/1761942338 -> viable/strict/1761942338 2025-12-04T08:57:40.8378730Z * [new tag] viable/strict/1761946100 -> viable/strict/1761946100 2025-12-04T08:57:40.8379704Z * [new tag] viable/strict/1761947374 -> viable/strict/1761947374 2025-12-04T08:57:40.8380658Z * [new tag] viable/strict/1761950978 -> viable/strict/1761950978 2025-12-04T08:57:40.8381596Z * [new tag] viable/strict/1761957727 -> viable/strict/1761957727 2025-12-04T08:57:40.8382559Z * [new tag] viable/strict/1761959532 -> viable/strict/1761959532 2025-12-04T08:57:40.8383788Z * [new tag] viable/strict/1761965366 -> viable/strict/1761965366 2025-12-04T08:57:40.8384828Z * [new tag] viable/strict/1761968066 -> viable/strict/1761968066 2025-12-04T08:57:40.8385765Z * [new tag] viable/strict/1761969322 -> viable/strict/1761969322 2025-12-04T08:57:40.8386708Z * [new tag] viable/strict/1761974723 -> viable/strict/1761974723 2025-12-04T08:57:40.8387919Z * [new tag] viable/strict/1761981837 -> viable/strict/1761981837 2025-12-04T08:57:40.8388835Z * [new tag] viable/strict/1761985546 -> viable/strict/1761985546 2025-12-04T08:57:40.8389783Z * [new tag] viable/strict/1761987030 -> viable/strict/1761987030 2025-12-04T08:57:40.8390805Z * [new tag] viable/strict/1762003554 -> viable/strict/1762003554 2025-12-04T08:57:40.8391754Z * [new tag] viable/strict/1762021560 -> viable/strict/1762021560 2025-12-04T08:57:40.8392731Z * [new tag] viable/strict/1762032190 -> viable/strict/1762032190 2025-12-04T08:57:40.8393710Z * [new tag] viable/strict/1762040981 -> viable/strict/1762040981 2025-12-04T08:57:40.8394677Z * [new tag] viable/strict/1762048525 -> viable/strict/1762048525 2025-12-04T08:57:40.8395721Z * [new tag] viable/strict/1762104223 -> viable/strict/1762104223 2025-12-04T08:57:40.8396682Z * [new tag] viable/strict/1762105778 -> viable/strict/1762105778 2025-12-04T08:57:40.8397629Z * [new tag] viable/strict/1762115109 -> viable/strict/1762115109 2025-12-04T08:57:40.8398661Z * [new tag] viable/strict/1762125840 -> viable/strict/1762125840 2025-12-04T08:57:40.8399516Z * [new tag] viable/strict/1762127377 -> viable/strict/1762127377 2025-12-04T08:57:40.8400910Z * [new tag] viable/strict/1762134925 -> viable/strict/1762134925 2025-12-04T08:57:40.8401706Z * [new tag] viable/strict/1762138338 -> viable/strict/1762138338 2025-12-04T08:57:40.8402715Z * [new tag] viable/strict/1762148993 -> viable/strict/1762148993 2025-12-04T08:57:40.8403780Z * [new tag] viable/strict/1762152871 -> viable/strict/1762152871 2025-12-04T08:57:40.8404759Z * [new tag] viable/strict/1762156183 -> viable/strict/1762156183 2025-12-04T08:57:40.8405747Z * [new tag] viable/strict/1762163457 -> viable/strict/1762163457 2025-12-04T08:57:40.8406682Z * [new tag] viable/strict/1762165569 -> viable/strict/1762165569 2025-12-04T08:57:40.8407631Z * [new tag] viable/strict/1762169035 -> viable/strict/1762169035 2025-12-04T08:57:40.8408610Z * [new tag] viable/strict/1762174936 -> viable/strict/1762174936 2025-12-04T08:57:40.8409633Z * [new tag] viable/strict/1762194412 -> viable/strict/1762194412 2025-12-04T08:57:40.8410543Z * [new tag] viable/strict/1762195876 -> viable/strict/1762195876 2025-12-04T08:57:40.8411944Z * [new tag] viable/strict/1762197788 -> viable/strict/1762197788 2025-12-04T08:57:40.8412889Z * [new tag] viable/strict/1762199389 -> viable/strict/1762199389 2025-12-04T08:57:40.8414135Z * [new tag] viable/strict/1762206585 -> viable/strict/1762206585 2025-12-04T08:57:40.8415112Z * [new tag] viable/strict/1762210184 -> viable/strict/1762210184 2025-12-04T08:57:40.8415949Z * [new tag] viable/strict/1762218736 -> viable/strict/1762218736 2025-12-04T08:57:40.8416942Z * [new tag] viable/strict/1762224529 -> viable/strict/1762224529 2025-12-04T08:57:40.8417987Z * [new tag] viable/strict/1762227253 -> viable/strict/1762227253 2025-12-04T08:57:40.8418834Z * [new tag] viable/strict/1762228515 -> viable/strict/1762228515 2025-12-04T08:57:40.8419998Z * [new tag] viable/strict/1762230349 -> viable/strict/1762230349 2025-12-04T08:57:40.8420877Z * [new tag] viable/strict/1762231859 -> viable/strict/1762231859 2025-12-04T08:57:40.8421853Z * [new tag] viable/strict/1762233925 -> viable/strict/1762233925 2025-12-04T08:57:40.8423104Z * [new tag] viable/strict/1762237630 -> viable/strict/1762237630 2025-12-04T08:57:40.8423975Z * [new tag] viable/strict/1762253522 -> viable/strict/1762253522 2025-12-04T08:57:40.8425069Z * [new tag] viable/strict/1762278588 -> viable/strict/1762278588 2025-12-04T08:57:40.8426004Z * [new tag] viable/strict/1762284203 -> viable/strict/1762284203 2025-12-04T08:57:40.8427016Z * [new tag] viable/strict/1762289446 -> viable/strict/1762289446 2025-12-04T08:57:40.8428021Z * [new tag] viable/strict/1762291515 -> viable/strict/1762291515 2025-12-04T08:57:40.8429007Z * [new tag] viable/strict/1762295100 -> viable/strict/1762295100 2025-12-04T08:57:40.8429852Z * [new tag] viable/strict/1762296590 -> viable/strict/1762296590 2025-12-04T08:57:40.8430801Z * [new tag] viable/strict/1762300179 -> viable/strict/1762300179 2025-12-04T08:57:40.8431630Z * [new tag] viable/strict/1762303207 -> viable/strict/1762303207 2025-12-04T08:57:40.8432610Z * [new tag] viable/strict/1762386584 -> viable/strict/1762386584 2025-12-04T08:57:40.8433599Z * [new tag] viable/strict/1762391537 -> viable/strict/1762391537 2025-12-04T08:57:40.8434445Z * [new tag] viable/strict/1762394119 -> viable/strict/1762394119 2025-12-04T08:57:40.8435842Z * [new tag] viable/strict/1762397437 -> viable/strict/1762397437 2025-12-04T08:57:40.8436732Z * [new tag] viable/strict/1762400256 -> viable/strict/1762400256 2025-12-04T08:57:40.8437700Z * [new tag] viable/strict/1762401469 -> viable/strict/1762401469 2025-12-04T08:57:40.8438736Z * [new tag] viable/strict/1762408195 -> viable/strict/1762408195 2025-12-04T08:57:40.8439746Z * [new tag] viable/strict/1762410411 -> viable/strict/1762410411 2025-12-04T08:57:40.8440745Z * [new tag] viable/strict/1762417613 -> viable/strict/1762417613 2025-12-04T08:57:40.8441712Z * [new tag] viable/strict/1762419198 -> viable/strict/1762419198 2025-12-04T08:57:40.8442764Z * [new tag] viable/strict/1762422656 -> viable/strict/1762422656 2025-12-04T08:57:40.8444218Z * [new tag] viable/strict/1762424746 -> viable/strict/1762424746 2025-12-04T08:57:40.8445182Z * [new tag] viable/strict/1762446386 -> viable/strict/1762446386 2025-12-04T08:57:40.8446183Z * [new tag] viable/strict/1762449912 -> viable/strict/1762449912 2025-12-04T08:57:40.8447210Z * [new tag] viable/strict/1762457031 -> viable/strict/1762457031 2025-12-04T08:57:40.8448225Z * [new tag] viable/strict/1762462441 -> viable/strict/1762462441 2025-12-04T08:57:40.8449201Z * [new tag] viable/strict/1762467909 -> viable/strict/1762467909 2025-12-04T08:57:40.8450585Z * [new tag] viable/strict/1762471493 -> viable/strict/1762471493 2025-12-04T08:57:40.8451571Z * [new tag] viable/strict/1762475990 -> viable/strict/1762475990 2025-12-04T08:57:40.8452660Z * [new tag] viable/strict/1762477933 -> viable/strict/1762477933 2025-12-04T08:57:40.8453712Z * [new tag] viable/strict/1762491053 -> viable/strict/1762491053 2025-12-04T08:57:40.8454681Z * [new tag] viable/strict/1762493118 -> viable/strict/1762493118 2025-12-04T08:57:40.8455641Z * [new tag] viable/strict/1762498442 -> viable/strict/1762498442 2025-12-04T08:57:40.8456690Z * [new tag] viable/strict/1762501778 -> viable/strict/1762501778 2025-12-04T08:57:40.8457683Z * [new tag] viable/strict/1762504001 -> viable/strict/1762504001 2025-12-04T08:57:40.8458903Z * [new tag] viable/strict/1762505583 -> viable/strict/1762505583 2025-12-04T08:57:40.8459824Z * [new tag] viable/strict/1762507523 -> viable/strict/1762507523 2025-12-04T08:57:40.8460835Z * [new tag] viable/strict/1762511140 -> viable/strict/1762511140 2025-12-04T08:57:40.8462037Z * [new tag] viable/strict/1762512632 -> viable/strict/1762512632 2025-12-04T08:57:40.8462972Z * [new tag] viable/strict/1762520467 -> viable/strict/1762520467 2025-12-04T08:57:40.8464223Z * [new tag] viable/strict/1762522016 -> viable/strict/1762522016 2025-12-04T08:57:40.8465118Z * [new tag] viable/strict/1762530591 -> viable/strict/1762530591 2025-12-04T08:57:40.8466171Z * [new tag] viable/strict/1762543405 -> viable/strict/1762543405 2025-12-04T08:57:40.8467003Z * [new tag] viable/strict/1762544998 -> viable/strict/1762544998 2025-12-04T08:57:40.8467959Z * [new tag] viable/strict/1762552182 -> viable/strict/1762552182 2025-12-04T08:57:40.8468927Z * [new tag] viable/strict/1762554297 -> viable/strict/1762554297 2025-12-04T08:57:40.8469878Z * [new tag] viable/strict/1762559381 -> viable/strict/1762559381 2025-12-04T08:57:40.8471104Z * [new tag] viable/strict/1762562222 -> viable/strict/1762562222 2025-12-04T08:57:40.8471917Z * [new tag] viable/strict/1762564319 -> viable/strict/1762564319 2025-12-04T08:57:40.8472776Z * [new tag] viable/strict/1762566904 -> viable/strict/1762566904 2025-12-04T08:57:40.8473767Z * [new tag] viable/strict/1762569781 -> viable/strict/1762569781 2025-12-04T08:57:40.8474758Z * [new tag] viable/strict/1762575940 -> viable/strict/1762575940 2025-12-04T08:57:40.8475746Z * [new tag] viable/strict/1762580974 -> viable/strict/1762580974 2025-12-04T08:57:40.8477228Z * [new tag] viable/strict/1762583185 -> viable/strict/1762583185 2025-12-04T08:57:40.8478113Z * [new tag] viable/strict/1762586647 -> viable/strict/1762586647 2025-12-04T08:57:40.8479146Z * [new tag] viable/strict/1762588183 -> viable/strict/1762588183 2025-12-04T08:57:40.8480128Z * [new tag] viable/strict/1762593886 -> viable/strict/1762593886 2025-12-04T08:57:40.8481100Z * [new tag] viable/strict/1762650743 -> viable/strict/1762650743 2025-12-04T08:57:40.8482161Z * [new tag] viable/strict/1762653328 -> viable/strict/1762653328 2025-12-04T08:57:40.8483166Z * [new tag] viable/strict/1762659342 -> viable/strict/1762659342 2025-12-04T08:57:40.8484129Z * [new tag] viable/strict/1762662360 -> viable/strict/1762662360 2025-12-04T08:57:40.8485111Z * [new tag] viable/strict/1762667377 -> viable/strict/1762667377 2025-12-04T08:57:40.8486070Z * [new tag] viable/strict/1762671090 -> viable/strict/1762671090 2025-12-04T08:57:40.8487039Z * [new tag] viable/strict/1762680284 -> viable/strict/1762680284 2025-12-04T08:57:40.8488088Z * [new tag] viable/strict/1762683900 -> viable/strict/1762683900 2025-12-04T08:57:40.8489144Z * [new tag] viable/strict/1762705541 -> viable/strict/1762705541 2025-12-04T08:57:40.8490005Z * [new tag] viable/strict/1762709004 -> viable/strict/1762709004 2025-12-04T08:57:40.8491015Z * [new tag] viable/strict/1762746004 -> viable/strict/1762746004 2025-12-04T08:57:40.8492122Z * [new tag] viable/strict/1762748799 -> viable/strict/1762748799 2025-12-04T08:57:40.8493238Z * [new tag] viable/strict/1762759504 -> viable/strict/1762759504 2025-12-04T08:57:40.8494202Z * [new tag] viable/strict/1762760973 -> viable/strict/1762760973 2025-12-04T08:57:40.8495163Z * [new tag] viable/strict/1762775374 -> viable/strict/1762775374 2025-12-04T08:57:40.8496373Z * [new tag] viable/strict/1762777661 -> viable/strict/1762777661 2025-12-04T08:57:40.8497296Z * [new tag] viable/strict/1762779774 -> viable/strict/1762779774 2025-12-04T08:57:40.8498390Z * [new tag] viable/strict/1762781259 -> viable/strict/1762781259 2025-12-04T08:57:40.8499427Z * [new tag] viable/strict/1762793628 -> viable/strict/1762793628 2025-12-04T08:57:40.8500477Z * [new tag] viable/strict/1762800711 -> viable/strict/1762800711 2025-12-04T08:57:40.8501474Z * [new tag] viable/strict/1762809894 -> viable/strict/1762809894 2025-12-04T08:57:40.8502425Z * [new tag] viable/strict/1762811384 -> viable/strict/1762811384 2025-12-04T08:57:40.8503558Z * [new tag] viable/strict/1762813841 -> viable/strict/1762813841 2025-12-04T08:57:40.8504637Z * [new tag] viable/strict/1762815047 -> viable/strict/1762815047 2025-12-04T08:57:40.8505880Z * [new tag] viable/strict/1762817094 -> viable/strict/1762817094 2025-12-04T08:57:40.8506784Z * [new tag] viable/strict/1762818582 -> viable/strict/1762818582 2025-12-04T08:57:40.8507772Z * [new tag] viable/strict/1762821623 -> viable/strict/1762821623 2025-12-04T08:57:40.8508624Z * [new tag] viable/strict/1762823531 -> viable/strict/1762823531 2025-12-04T08:57:40.8509676Z * [new tag] viable/strict/1762849583 -> viable/strict/1762849583 2025-12-04T08:57:40.8510671Z * [new tag] viable/strict/1762851200 -> viable/strict/1762851200 2025-12-04T08:57:40.8511641Z * [new tag] viable/strict/1762854603 -> viable/strict/1762854603 2025-12-04T08:57:40.8512651Z * [new tag] viable/strict/1762858276 -> viable/strict/1762858276 2025-12-04T08:57:40.8513702Z * [new tag] viable/strict/1762860891 -> viable/strict/1762860891 2025-12-04T08:57:40.8515336Z * [new tag] viable/strict/1762866174 -> viable/strict/1762866174 2025-12-04T08:57:40.8516253Z * [new tag] viable/strict/1762867653 -> viable/strict/1762867653 2025-12-04T08:57:40.8517221Z * [new tag] viable/strict/1762872669 -> viable/strict/1762872669 2025-12-04T08:57:40.8518128Z * [new tag] viable/strict/1762878380 -> viable/strict/1762878380 2025-12-04T08:57:40.8519117Z * [new tag] viable/strict/1762889003 -> viable/strict/1762889003 2025-12-04T08:57:40.8520110Z * [new tag] viable/strict/1762890589 -> viable/strict/1762890589 2025-12-04T08:57:40.8521104Z * [new tag] viable/strict/1762892743 -> viable/strict/1762892743 2025-12-04T08:57:40.8522113Z * [new tag] viable/strict/1762894271 -> viable/strict/1762894271 2025-12-04T08:57:40.8522963Z * [new tag] viable/strict/1762896287 -> viable/strict/1762896287 2025-12-04T08:57:40.8523961Z * [new tag] viable/strict/1762915871 -> viable/strict/1762915871 2025-12-04T08:57:40.8524986Z * [new tag] viable/strict/1762918569 -> viable/strict/1762918569 2025-12-04T08:57:40.8525860Z * [new tag] viable/strict/1762919776 -> viable/strict/1762919776 2025-12-04T08:57:40.8526862Z * [new tag] viable/strict/1762923072 -> viable/strict/1762923072 2025-12-04T08:57:40.8527857Z * [new tag] viable/strict/1762928826 -> viable/strict/1762928826 2025-12-04T08:57:40.8529125Z * [new tag] viable/strict/1762930451 -> viable/strict/1762930451 2025-12-04T08:57:40.8530096Z * [new tag] viable/strict/1762933780 -> viable/strict/1762933780 2025-12-04T08:57:40.8531059Z * [new tag] viable/strict/1762937638 -> viable/strict/1762937638 2025-12-04T08:57:40.8532307Z * [new tag] viable/strict/1762939545 -> viable/strict/1762939545 2025-12-04T08:57:40.8533206Z * [new tag] viable/strict/1762962692 -> viable/strict/1762962692 2025-12-04T08:57:40.8534187Z * [new tag] viable/strict/1762979143 -> viable/strict/1762979143 2025-12-04T08:57:40.8535191Z * [new tag] viable/strict/1762984188 -> viable/strict/1762984188 2025-12-04T08:57:40.8536053Z * [new tag] viable/strict/1762986306 -> viable/strict/1762986306 2025-12-04T08:57:40.8537078Z * [new tag] viable/strict/1762989903 -> viable/strict/1762989903 2025-12-04T08:57:40.8538043Z * [new tag] viable/strict/1762991377 -> viable/strict/1762991377 2025-12-04T08:57:40.8539037Z * [new tag] viable/strict/1762998921 -> viable/strict/1762998921 2025-12-04T08:57:40.8540237Z * [new tag] viable/strict/1763002287 -> viable/strict/1763002287 2025-12-04T08:57:40.8541173Z * [new tag] viable/strict/1763016840 -> viable/strict/1763016840 2025-12-04T08:57:40.8542603Z * [new tag] viable/strict/1763020180 -> viable/strict/1763020180 2025-12-04T08:57:40.8543637Z * [new tag] viable/strict/1763027421 -> viable/strict/1763027421 2025-12-04T08:57:40.8544700Z * [new tag] viable/strict/1763031120 -> viable/strict/1763031120 2025-12-04T08:57:40.8545719Z * [new tag] viable/strict/1763036861 -> viable/strict/1763036861 2025-12-04T08:57:40.8546751Z * [new tag] viable/strict/1763038993 -> viable/strict/1763038993 2025-12-04T08:57:40.8547781Z * [new tag] viable/strict/1763054703 -> viable/strict/1763054703 2025-12-04T08:57:40.8548720Z * [new tag] viable/strict/1763067061 -> viable/strict/1763067061 2025-12-04T08:57:40.8549712Z * [new tag] viable/strict/1763070847 -> viable/strict/1763070847 2025-12-04T08:57:40.8550668Z * [new tag] viable/strict/1763072706 -> viable/strict/1763072706 2025-12-04T08:57:40.8551870Z * [new tag] viable/strict/1763076302 -> viable/strict/1763076302 2025-12-04T08:57:40.8552756Z * [new tag] viable/strict/1763080816 -> viable/strict/1763080816 2025-12-04T08:57:40.8553767Z * [new tag] viable/strict/1763082732 -> viable/strict/1763082732 2025-12-04T08:57:40.8554703Z * [new tag] viable/strict/1763085329 -> viable/strict/1763085329 2025-12-04T08:57:40.8555744Z * [new tag] viable/strict/1763088623 -> viable/strict/1763088623 2025-12-04T08:57:40.8556852Z * [new tag] viable/strict/1763091402 -> viable/strict/1763091402 2025-12-04T08:57:40.8557920Z * [new tag] viable/strict/1763092602 -> viable/strict/1763092602 2025-12-04T08:57:40.8558905Z * [new tag] viable/strict/1763094355 -> viable/strict/1763094355 2025-12-04T08:57:40.8559897Z * [new tag] viable/strict/1763099390 -> viable/strict/1763099390 2025-12-04T08:57:40.8560895Z * [new tag] viable/strict/1763101608 -> viable/strict/1763101608 2025-12-04T08:57:40.8562113Z * [new tag] viable/strict/1763105102 -> viable/strict/1763105102 2025-12-04T08:57:40.8563108Z * [new tag] viable/strict/1763112347 -> viable/strict/1763112347 2025-12-04T08:57:40.8564075Z * [new tag] viable/strict/1763119471 -> viable/strict/1763119471 2025-12-04T08:57:40.8564937Z * [new tag] viable/strict/1763126835 -> viable/strict/1763126835 2025-12-04T08:57:40.8565788Z * [new tag] viable/strict/1763149779 -> viable/strict/1763149779 2025-12-04T08:57:40.8566831Z * [new tag] viable/strict/1763164178 -> viable/strict/1763164178 2025-12-04T08:57:40.8567742Z * [new tag] viable/strict/1763167104 -> viable/strict/1763167104 2025-12-04T08:57:40.8568692Z * [new tag] viable/strict/1763169132 -> viable/strict/1763169132 2025-12-04T08:57:40.8569805Z * [new tag] viable/strict/1763171708 -> viable/strict/1763171708 2025-12-04T08:57:40.8570899Z * [new tag] viable/strict/1763174759 -> viable/strict/1763174759 2025-12-04T08:57:40.8571909Z * [new tag] viable/strict/1763180744 -> viable/strict/1763180744 2025-12-04T08:57:40.8572886Z * [new tag] viable/strict/1763182227 -> viable/strict/1763182227 2025-12-04T08:57:40.8573855Z * [new tag] viable/strict/1763184309 -> viable/strict/1763184309 2025-12-04T08:57:40.8575502Z * [new tag] viable/strict/1763187991 -> viable/strict/1763187991 2025-12-04T08:57:40.8576385Z * [new tag] viable/strict/1763191445 -> viable/strict/1763191445 2025-12-04T08:57:40.8577471Z * [new tag] viable/strict/1763195152 -> viable/strict/1763195152 2025-12-04T08:57:40.8578449Z * [new tag] viable/strict/1763205769 -> viable/strict/1763205769 2025-12-04T08:57:40.8579435Z * [new tag] viable/strict/1763246990 -> viable/strict/1763246990 2025-12-04T08:57:40.8580510Z * [new tag] viable/strict/1763261578 -> viable/strict/1763261578 2025-12-04T08:57:40.8581418Z * [new tag] viable/strict/1763286573 -> viable/strict/1763286573 2025-12-04T08:57:40.8582195Z * [new tag] viable/strict/1763292167 -> viable/strict/1763292167 2025-12-04T08:57:40.8583275Z * [new tag] viable/strict/1763333386 -> viable/strict/1763333386 2025-12-04T08:57:40.8584392Z * [new tag] viable/strict/1763340082 -> viable/strict/1763340082 2025-12-04T08:57:40.8586140Z * [new tag] viable/strict/1763364324 -> viable/strict/1763364324 2025-12-04T08:57:40.8587106Z * [new tag] viable/strict/1763371569 -> viable/strict/1763371569 2025-12-04T08:57:40.8588097Z * [new tag] viable/strict/1763373067 -> viable/strict/1763373067 2025-12-04T08:57:40.8589033Z * [new tag] viable/strict/1763375157 -> viable/strict/1763375157 2025-12-04T08:57:40.8590033Z * [new tag] viable/strict/1763382462 -> viable/strict/1763382462 2025-12-04T08:57:40.8591043Z * [new tag] viable/strict/1763394661 -> viable/strict/1763394661 2025-12-04T08:57:40.8592242Z * [new tag] viable/strict/1763396797 -> viable/strict/1763396797 2025-12-04T08:57:40.8593290Z * [new tag] viable/strict/1763398542 -> viable/strict/1763398542 2025-12-04T08:57:40.8594306Z * [new tag] viable/strict/1763401807 -> viable/strict/1763401807 2025-12-04T08:57:40.8595283Z * [new tag] viable/strict/1763414698 -> viable/strict/1763414698 2025-12-04T08:57:40.8596293Z * [new tag] viable/strict/1763419807 -> viable/strict/1763419807 2025-12-04T08:57:40.8597283Z * [new tag] viable/strict/1763426369 -> viable/strict/1763426369 2025-12-04T08:57:40.8598323Z * [new tag] viable/strict/1763428331 -> viable/strict/1763428331 2025-12-04T08:57:40.8599379Z * [new tag] viable/strict/1763430922 -> viable/strict/1763430922 2025-12-04T08:57:40.8600169Z * [new tag] viable/strict/1763434184 -> viable/strict/1763434184 2025-12-04T08:57:40.8601217Z * [new tag] viable/strict/1763439973 -> viable/strict/1763439973 2025-12-04T08:57:40.8602262Z * [new tag] viable/strict/1763444995 -> viable/strict/1763444995 2025-12-04T08:57:40.8603312Z * [new tag] viable/strict/1763447206 -> viable/strict/1763447206 2025-12-04T08:57:40.8604299Z * [new tag] viable/strict/1763448826 -> viable/strict/1763448826 2025-12-04T08:57:40.8605300Z * [new tag] viable/strict/1763450717 -> viable/strict/1763450717 2025-12-04T08:57:40.8606319Z * [new tag] viable/strict/1763452183 -> viable/strict/1763452183 2025-12-04T08:57:40.8607395Z * [new tag] viable/strict/1763457945 -> viable/strict/1763457945 2025-12-04T08:57:40.8608729Z * [new tag] viable/strict/1763459439 -> viable/strict/1763459439 2025-12-04T08:57:40.8609635Z * [new tag] viable/strict/1763461556 -> viable/strict/1763461556 2025-12-04T08:57:40.8610678Z * [new tag] viable/strict/1763463103 -> viable/strict/1763463103 2025-12-04T08:57:40.8611679Z * [new tag] viable/strict/1763465100 -> viable/strict/1763465100 2025-12-04T08:57:40.8612579Z * [new tag] viable/strict/1763468866 -> viable/strict/1763468866 2025-12-04T08:57:40.8613357Z * [new tag] viable/strict/1763493823 -> viable/strict/1763493823 2025-12-04T08:57:40.8614271Z * [new tag] viable/strict/1763496249 -> viable/strict/1763496249 2025-12-04T08:57:40.8615264Z * [new tag] viable/strict/1763502620 -> viable/strict/1763502620 2025-12-04T08:57:40.8616373Z * [new tag] viable/strict/1763504715 -> viable/strict/1763504715 2025-12-04T08:57:40.8617395Z * [new tag] viable/strict/1763506208 -> viable/strict/1763506208 2025-12-04T08:57:40.8618383Z * [new tag] viable/strict/1763520590 -> viable/strict/1763520590 2025-12-04T08:57:40.8619478Z * [new tag] viable/strict/1763523357 -> viable/strict/1763523357 2025-12-04T08:57:40.8620466Z * [new tag] viable/strict/1763529922 -> viable/strict/1763529922 2025-12-04T08:57:40.8621530Z * [new tag] viable/strict/1763531408 -> viable/strict/1763531408 2025-12-04T08:57:40.8622540Z * [new tag] viable/strict/1763533622 -> viable/strict/1763533622 2025-12-04T08:57:40.8623557Z * [new tag] viable/strict/1763538576 -> viable/strict/1763538576 2025-12-04T08:57:40.8624786Z * [new tag] viable/strict/1763545823 -> viable/strict/1763545823 2025-12-04T08:57:40.8625507Z * [new tag] viable/strict/1763547951 -> viable/strict/1763547951 2025-12-04T08:57:40.8626667Z * [new tag] viable/strict/1763551477 -> viable/strict/1763551477 2025-12-04T08:57:40.8627726Z * [new tag] viable/strict/1763552982 -> viable/strict/1763552982 2025-12-04T08:57:40.8628734Z * [new tag] viable/strict/1763594698 -> viable/strict/1763594698 2025-12-04T08:57:40.8629755Z * [new tag] viable/strict/1763596178 -> viable/strict/1763596178 2025-12-04T08:57:40.8630749Z * [new tag] viable/strict/1763599155 -> viable/strict/1763599155 2025-12-04T08:57:40.8631730Z * [new tag] viable/strict/1763603717 -> viable/strict/1763603717 2025-12-04T08:57:40.8632726Z * [new tag] viable/strict/1763606923 -> viable/strict/1763606923 2025-12-04T08:57:40.8633769Z * [new tag] viable/strict/1763609715 -> viable/strict/1763609715 2025-12-04T08:57:40.8634726Z * [new tag] viable/strict/1763612757 -> viable/strict/1763612757 2025-12-04T08:57:40.8635710Z * [new tag] viable/strict/1763616325 -> viable/strict/1763616325 2025-12-04T08:57:40.8636712Z * [new tag] viable/strict/1763623509 -> viable/strict/1763623509 2025-12-04T08:57:40.8637842Z * [new tag] viable/strict/1763624984 -> viable/strict/1763624984 2025-12-04T08:57:40.8638862Z * [new tag] viable/strict/1763628796 -> viable/strict/1763628796 2025-12-04T08:57:40.8639866Z * [new tag] viable/strict/1763634343 -> viable/strict/1763634343 2025-12-04T08:57:40.8640788Z * [new tag] viable/strict/1763635867 -> viable/strict/1763635867 2025-12-04T08:57:40.8641987Z * [new tag] viable/strict/1763639382 -> viable/strict/1763639382 2025-12-04T08:57:40.8642927Z * [new tag] viable/strict/1763646626 -> viable/strict/1763646626 2025-12-04T08:57:40.8644095Z * [new tag] viable/strict/1763655997 -> viable/strict/1763655997 2025-12-04T08:57:40.8645144Z * [new tag] viable/strict/1763659444 -> viable/strict/1763659444 2025-12-04T08:57:40.8646095Z * [new tag] viable/strict/1763660992 -> viable/strict/1763660992 2025-12-04T08:57:40.8647033Z * [new tag] viable/strict/1763663201 -> viable/strict/1763663201 2025-12-04T08:57:40.8648055Z * [new tag] viable/strict/1763670362 -> viable/strict/1763670362 2025-12-04T08:57:40.8648841Z * [new tag] viable/strict/1763675378 -> viable/strict/1763675378 2025-12-04T08:57:40.8649917Z * [new tag] viable/strict/1763693343 -> viable/strict/1763693343 2025-12-04T08:57:40.8650862Z * [new tag] viable/strict/1763696088 -> viable/strict/1763696088 2025-12-04T08:57:40.8652011Z * [new tag] viable/strict/1763697343 -> viable/strict/1763697343 2025-12-04T08:57:40.8653006Z * [new tag] viable/strict/1763699165 -> viable/strict/1763699165 2025-12-04T08:57:40.8654006Z * [new tag] viable/strict/1763700660 -> viable/strict/1763700660 2025-12-04T08:57:40.8654932Z * [new tag] viable/strict/1763704209 -> viable/strict/1763704209 2025-12-04T08:57:40.8656030Z * [new tag] viable/strict/1763706411 -> viable/strict/1763706411 2025-12-04T08:57:40.8656967Z * [new tag] viable/strict/1763708082 -> viable/strict/1763708082 2025-12-04T08:57:40.8657940Z * [new tag] viable/strict/1763711381 -> viable/strict/1763711381 2025-12-04T08:57:40.8658747Z * [new tag] viable/strict/1763713593 -> viable/strict/1763713593 2025-12-04T08:57:40.8659888Z * [new tag] viable/strict/1763715201 -> viable/strict/1763715201 2025-12-04T08:57:40.8660840Z * [new tag] viable/strict/1763733017 -> viable/strict/1763733017 2025-12-04T08:57:40.8661904Z * [new tag] viable/strict/1763735108 -> viable/strict/1763735108 2025-12-04T08:57:40.8662927Z * [new tag] viable/strict/1763749579 -> viable/strict/1763749579 2025-12-04T08:57:40.8663997Z * [new tag] viable/strict/1763751113 -> viable/strict/1763751113 2025-12-04T08:57:40.8665031Z * [new tag] viable/strict/1763753035 -> viable/strict/1763753035 2025-12-04T08:57:40.8666056Z * [new tag] viable/strict/1763754578 -> viable/strict/1763754578 2025-12-04T08:57:40.8667080Z * [new tag] viable/strict/1763756748 -> viable/strict/1763756748 2025-12-04T08:57:40.8668042Z * [new tag] viable/strict/1763758205 -> viable/strict/1763758205 2025-12-04T08:57:40.8668829Z * [new tag] viable/strict/1763764050 -> viable/strict/1763764050 2025-12-04T08:57:40.8670059Z * [new tag] viable/strict/1763771887 -> viable/strict/1763771887 2025-12-04T08:57:40.8671285Z * [new tag] viable/strict/1763773920 -> viable/strict/1763773920 2025-12-04T08:57:40.8672220Z * [new tag] viable/strict/1763776501 -> viable/strict/1763776501 2025-12-04T08:57:40.8673583Z * [new tag] viable/strict/1763779437 -> viable/strict/1763779437 2025-12-04T08:57:40.8674799Z * [new tag] viable/strict/1763781038 -> viable/strict/1763781038 2025-12-04T08:57:40.8675583Z * [new tag] viable/strict/1763782245 -> viable/strict/1763782245 2025-12-04T08:57:40.8676793Z * [new tag] viable/strict/1763785568 -> viable/strict/1763785568 2025-12-04T08:57:40.8677716Z * [new tag] viable/strict/1763787006 -> viable/strict/1763787006 2025-12-04T08:57:40.8678708Z * [new tag] viable/strict/1763789103 -> viable/strict/1763789103 2025-12-04T08:57:40.8679752Z * [new tag] viable/strict/1763790578 -> viable/strict/1763790578 2025-12-04T08:57:40.8680696Z * [new tag] viable/strict/1763796275 -> viable/strict/1763796275 2025-12-04T08:57:40.8681941Z * [new tag] viable/strict/1763801465 -> viable/strict/1763801465 2025-12-04T08:57:40.8682929Z * [new tag] viable/strict/1763803522 -> viable/strict/1763803522 2025-12-04T08:57:40.8683872Z * [new tag] viable/strict/1763808581 -> viable/strict/1763808581 2025-12-04T08:57:40.8684869Z * [new tag] viable/strict/1763840977 -> viable/strict/1763840977 2025-12-04T08:57:40.8685816Z * [new tag] viable/strict/1763846659 -> viable/strict/1763846659 2025-12-04T08:57:40.8686804Z * [new tag] viable/strict/1763872065 -> viable/strict/1763872065 2025-12-04T08:57:40.8688151Z * [new tag] viable/strict/1763873648 -> viable/strict/1763873648 2025-12-04T08:57:40.8688783Z * [new tag] viable/strict/1763875506 -> viable/strict/1763875506 2025-12-04T08:57:40.8689726Z * [new tag] viable/strict/1763889904 -> viable/strict/1763889904 2025-12-04T08:57:40.8690692Z * [new tag] viable/strict/1763930999 -> viable/strict/1763930999 2025-12-04T08:57:40.8691697Z * [new tag] viable/strict/1763944964 -> viable/strict/1763944964 2025-12-04T08:57:40.8692600Z * [new tag] viable/strict/1763958474 -> viable/strict/1763958474 2025-12-04T08:57:40.8693585Z * [new tag] viable/strict/1763967263 -> viable/strict/1763967263 2025-12-04T08:57:40.8694665Z * [new tag] viable/strict/1763972803 -> viable/strict/1763972803 2025-12-04T08:57:40.8695486Z * [new tag] viable/strict/1763976376 -> viable/strict/1763976376 2025-12-04T08:57:40.8696579Z * [new tag] viable/strict/1763989404 -> viable/strict/1763989404 2025-12-04T08:57:40.8697490Z * [new tag] viable/strict/1763990887 -> viable/strict/1763990887 2025-12-04T08:57:40.8698487Z * [new tag] viable/strict/1764019919 -> viable/strict/1764019919 2025-12-04T08:57:40.8699525Z * [new tag] viable/strict/1764023134 -> viable/strict/1764023134 2025-12-04T08:57:40.8700268Z * [new tag] viable/strict/1764024593 -> viable/strict/1764024593 2025-12-04T08:57:40.8701365Z * [new tag] viable/strict/1764026706 -> viable/strict/1764026706 2025-12-04T08:57:40.8702534Z * [new tag] viable/strict/1764031139 -> viable/strict/1764031139 2025-12-04T08:57:40.8703628Z * [new tag] viable/strict/1764033131 -> viable/strict/1764033131 2025-12-04T08:57:40.8704608Z * [new tag] viable/strict/1764035725 -> viable/strict/1764035725 2025-12-04T08:57:40.8705457Z * [new tag] viable/strict/1764624265 -> viable/strict/1764624265 2025-12-04T08:57:40.8706217Z * [new tag] viable/strict/1764631514 -> viable/strict/1764631514 2025-12-04T08:57:40.8707128Z * [new tag] viable/strict/1764632987 -> viable/strict/1764632987 2025-12-04T08:57:40.8707864Z * [new tag] viable/strict/1764636063 -> viable/strict/1764636063 2025-12-04T08:57:40.8708764Z * [new tag] viable/strict/1764643975 -> viable/strict/1764643975 2025-12-04T08:57:40.8709488Z * [new tag] viable/strict/1764646859 -> viable/strict/1764646859 2025-12-04T08:57:40.8710289Z * [new tag] viable/strict/1764653120 -> viable/strict/1764653120 2025-12-04T08:57:40.8711341Z * [new tag] viable/strict/1764654632 -> viable/strict/1764654632 2025-12-04T08:57:40.8711980Z * [new tag] viable/strict/1764656821 -> viable/strict/1764656821 2025-12-04T08:57:40.8712753Z * [new tag] viable/strict/1764658557 -> viable/strict/1764658557 2025-12-04T08:57:40.8713669Z * [new tag] viable/strict/1764660333 -> viable/strict/1764660333 2025-12-04T08:57:40.8714380Z * [new tag] viable/strict/1764661812 -> viable/strict/1764661812 2025-12-04T08:57:40.8715286Z * [new tag] viable/strict/1764664023 -> viable/strict/1764664023 2025-12-04T08:57:40.8715981Z * [new tag] viable/strict/1764669150 -> viable/strict/1764669150 2025-12-04T08:57:40.8716872Z * [new tag] viable/strict/1764680709 -> viable/strict/1764680709 2025-12-04T08:57:40.8717643Z * [new tag] viable/strict/1764687619 -> viable/strict/1764687619 2025-12-04T08:57:40.8718543Z * [new tag] viable/strict/1764696355 -> viable/strict/1764696355 2025-12-04T08:57:40.8719288Z * [new tag] viable/strict/1764701767 -> viable/strict/1764701767 2025-12-04T08:57:40.8720221Z * [new tag] viable/strict/1764710768 -> viable/strict/1764710768 2025-12-04T08:57:40.8721035Z * [new tag] viable/strict/1764716202 -> viable/strict/1764716202 2025-12-04T08:57:40.8721968Z * [new tag] viable/strict/1764793566 -> viable/strict/1764793566 2025-12-04T08:57:40.8722677Z * [new tag] viable/strict/1764797093 -> viable/strict/1764797093 2025-12-04T08:57:40.8723606Z * [new tag] viable/strict/1764800729 -> viable/strict/1764800729 2025-12-04T08:57:40.8724559Z * [new tag] whc_flight_1 -> whc_flight_1 2025-12-04T08:57:40.8725594Z * [new tag] whc_flight_2 -> whc_flight_2 2025-12-04T08:57:40.8726747Z * [new tag] whc_flight_4 -> whc_flight_4 2025-12-04T08:57:40.9469820Z [command]/usr/bin/git rev-parse --verify --quiet ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32^{object} 2025-12-04T08:57:40.9493314Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:57:40.9497096Z ##[endgroup] 2025-12-04T08:57:40.9497382Z ##[group]Determining the checkout info 2025-12-04T08:57:40.9498457Z ##[endgroup] 2025-12-04T08:57:40.9502089Z [command]/usr/bin/git sparse-checkout disable 2025-12-04T08:57:40.9531936Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-12-04T08:57:40.9554970Z ##[group]Checking out the ref 2025-12-04T08:57:40.9557850Z [command]/usr/bin/git checkout --progress --force ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:57:41.9996052Z Updating files: 81% (16338/20121) 2025-12-04T08:57:42.0202581Z Updating files: 82% (16500/20121) 2025-12-04T08:57:42.0349631Z Updating files: 83% (16701/20121) 2025-12-04T08:57:42.0484818Z Updating files: 84% (16902/20121) 2025-12-04T08:57:42.0642812Z Updating files: 85% (17103/20121) 2025-12-04T08:57:42.0797188Z Updating files: 86% (17305/20121) 2025-12-04T08:57:42.0936617Z Updating files: 87% (17506/20121) 2025-12-04T08:57:42.1046421Z Updating files: 88% (17707/20121) 2025-12-04T08:57:42.1177651Z Updating files: 89% (17908/20121) 2025-12-04T08:57:42.1346192Z Updating files: 90% (18109/20121) 2025-12-04T08:57:42.1458973Z Updating files: 91% (18311/20121) 2025-12-04T08:57:42.1608859Z Updating files: 92% 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You can look around, make experimental 2025-12-04T08:57:42.3207605Z changes and commit them, and you can discard any commits you make in this 2025-12-04T08:57:42.3208170Z state without impacting any branches by switching back to a branch. 2025-12-04T08:57:42.3208497Z 2025-12-04T08:57:42.3208705Z If you want to create a new branch to retain commits you create, you may 2025-12-04T08:57:42.3209223Z do so (now or later) by using -c with the switch command. Example: 2025-12-04T08:57:42.3209530Z 2025-12-04T08:57:42.3209642Z git switch -c 2025-12-04T08:57:42.3209843Z 2025-12-04T08:57:42.3209962Z Or undo this operation with: 2025-12-04T08:57:42.3210143Z 2025-12-04T08:57:42.3210233Z git switch - 2025-12-04T08:57:42.3210376Z 2025-12-04T08:57:42.3210628Z Turn off this advice by setting config variable advice.detachedHead to false 2025-12-04T08:57:42.3211017Z 2025-12-04T08:57:42.3211532Z HEAD is now at ffd9b0fb435 Resolve collective autotuning test failure on arm (#168919) 2025-12-04T08:57:42.3281672Z ##[endgroup] 2025-12-04T08:57:42.3282103Z ##[group]Setting up auth for fetching submodules 2025-12-04T08:57:42.3288586Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-12-04T08:57:42.3333880Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-12-04T08:57:42.3361755Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-12-04T08:57:42.3387682Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-12-04T08:57:42.3409806Z ##[endgroup] 2025-12-04T08:57:42.3410193Z ##[group]Fetching submodules 2025-12-04T08:57:42.3414168Z [command]/usr/bin/git submodule sync --recursive 2025-12-04T08:57:42.3727327Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-12-04T08:57:42.4030352Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-12-04T08:57:42.4031435Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-12-04T08:57:42.4033689Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-12-04T08:57:42.4036295Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-12-04T08:57:42.4039045Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-12-04T08:57:42.4042436Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-12-04T08:57:42.4045106Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-12-04T08:57:42.4048026Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-12-04T08:57:42.4051273Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-12-04T08:57:42.4054706Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-12-04T08:57:42.4058030Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-12-04T08:57:42.4061437Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-12-04T08:57:42.4065393Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-12-04T08:57:42.4068921Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-12-04T08:57:42.4073287Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-12-04T08:57:42.4078597Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-12-04T08:57:42.4084465Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-12-04T08:57:42.4087881Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-12-04T08:57:42.4092538Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-12-04T08:57:42.4096425Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-12-04T08:57:42.4100764Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-12-04T08:57:42.4105155Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-12-04T08:57:42.4109721Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-12-04T08:57:42.4114154Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-12-04T08:57:42.4118964Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-12-04T08:57:42.4123107Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-12-04T08:57:42.4127794Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-12-04T08:57:42.4132680Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-12-04T08:57:42.4137967Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-12-04T08:57:42.4142892Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-12-04T08:57:42.4148293Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-12-04T08:57:42.4153619Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-12-04T08:57:42.4159164Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-12-04T08:57:42.4166022Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-12-04T08:57:42.4172169Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-12-04T08:57:42.4177650Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-12-04T08:57:42.4183550Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-12-04T08:57:42.4216343Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-12-04T08:57:42.6472808Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-12-04T08:57:42.6474168Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-12-04T08:57:42.6475419Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-12-04T08:57:42.6496190Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2025-12-04T08:57:45.9203965Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-12-04T08:57:45.9205142Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2025-12-04T08:57:45.9206760Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-12-04T08:57:45.9208419Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-12-04T08:57:45.9210290Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-12-04T08:57:45.9273262Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-12-04T08:57:45.9275232Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-12-04T08:57:45.9276987Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2025-12-04T08:57:45.9278557Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-12-04T08:57:45.9280114Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-12-04T08:57:45.9281805Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-12-04T08:57:45.9283370Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2025-12-04T08:57:45.9285281Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-12-04T08:57:45.9291216Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-12-04T08:57:45.9292875Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-12-04T08:57:45.9294440Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-12-04T08:57:45.9412569Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-12-04T08:57:46.1867722Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-12-04T08:57:46.1869957Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-12-04T08:57:46.2869202Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-12-04T08:57:46.7139007Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-12-04T08:57:46.8140458Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-12-04T08:58:04.8709069Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-12-04T08:58:04.8710482Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-12-04T08:58:04.8711927Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-12-04T08:58:04.8713297Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-12-04T08:58:04.8714417Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-12-04T08:58:04.8715740Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-12-04T08:58:04.8716749Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-12-04T08:58:04.9710397Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-12-04T08:58:08.4174005Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-12-04T08:58:08.4174772Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-12-04T08:58:08.4341720Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-12-04T08:58:08.4477903Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-12-04T08:58:08.4583886Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-12-04T08:58:08.4848605Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-12-04T08:58:08.5713345Z Submodule path 'third_party/NVTX': checked out '3ebbc93ded7285963bff932c678fa367eb393ba6' 2025-12-04T08:58:08.6244909Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-12-04T08:58:09.3926294Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-12-04T08:58:09.5874883Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-12-04T08:58:09.5896326Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T08:58:09.5925267Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-12-04T08:58:14.5237616Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-12-04T08:58:14.5480402Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-12-04T08:58:14.9082723Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-12-04T08:58:14.9570406Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-12-04T08:58:15.0551543Z Submodule path 'third_party/cpuinfo': checked out 'f858c30bcb16f8effd5ff46996f0514539e17abc' 2025-12-04T08:58:15.1043897Z Submodule path 'third_party/cudnn_frontend': checked out '0b1577c8c83401237d601d0d0db5210506705396' 2025-12-04T08:58:15.7621565Z Submodule path 'third_party/cutlass': checked out 'f88806b1e31dfa579842638740216dd41fc6c588' 2025-12-04T08:58:15.9191299Z Submodule path 'third_party/fbgemm': checked out 'c0b988d39a9e47c794d699f29930ed4d7c7e13a4' 2025-12-04T08:58:15.9213229Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-12-04T08:58:15.9215891Z Submodule 'external/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-12-04T08:58:15.9218384Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-12-04T08:58:15.9221001Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-12-04T08:58:15.9224003Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-12-04T08:58:15.9227099Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-12-04T08:58:15.9229965Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-12-04T08:58:15.9259122Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-12-04T08:58:17.1470670Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-12-04T08:58:17.1471612Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-12-04T08:58:17.1472506Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-12-04T08:58:17.2471806Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-12-04T08:58:20.5314220Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-12-04T08:58:20.6314321Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-12-04T08:58:23.3774482Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-12-04T08:58:23.7427893Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-12-04T08:58:23.8466425Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-12-04T08:58:24.4986729Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '98125ce499b0fdf7ffbe0e3052f5b8709f4840f8' 2025-12-04T08:58:24.5479011Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T08:58:24.5869017Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-12-04T08:58:24.6992673Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-12-04T08:58:24.7729257Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-12-04T08:58:24.7750716Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T08:58:24.7752731Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-12-04T08:58:24.7780755Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-12-04T08:58:29.2198084Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-12-04T08:58:29.4692694Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-12-04T08:58:30.0437130Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-12-04T08:58:30.1868865Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-12-04T08:58:30.2182537Z Submodule path 'third_party/fmt': checked out '407c905e45ad75fc29bf0f9bb7c5c2fd3475976f' 2025-12-04T08:58:30.2602828Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-12-04T08:58:30.2872211Z Submodule path 'third_party/gloo': checked out '54cbae0d3a67fa890b4c3d9ee162b7860315e341' 2025-12-04T08:58:30.3348721Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T08:58:30.3491364Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-12-04T08:58:30.3510252Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-12-04T08:58:30.3536828Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-12-04T08:58:46.1307474Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-12-04T08:58:46.1525244Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-12-04T08:58:46.2384410Z Submodule path 'third_party/kineto': checked out '31f85df8fbd89c188f14ef10f1ec65379786b943' 2025-12-04T08:58:46.2403951Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T08:58:46.2406324Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T08:58:46.2409462Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T08:58:46.2437225Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-12-04T08:58:46.9359501Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-12-04T08:58:47.7695315Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-12-04T08:58:47.8666156Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out 'd2ffe0a4e3acace628db49974246b66fc3e85fb1' 2025-12-04T08:58:47.8684011Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T08:58:47.8686672Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T08:58:47.8689478Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T08:58:47.8692438Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T08:58:47.8695420Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T08:58:47.8698916Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T08:58:47.8701981Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T08:58:47.8705655Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T08:58:47.8709222Z 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' 2025-12-04T08:58:47.8740585Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-12-04T08:58:49.7855546Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-12-04T08:58:49.7856773Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-12-04T08:58:49.7858013Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'... 2025-12-04T08:58:49.7859254Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-12-04T08:58:49.7860441Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-12-04T08:58:49.7861622Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-12-04T08:58:49.7862809Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-12-04T08:58:49.8856398Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-12-04T08:58:55.4616214Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-12-04T08:58:55.4801442Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-12-04T08:58:55.5172467Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-12-04T08:58:55.5311650Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-12-04T08:58:55.5327663Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T08:58:55.5352466Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-12-04T08:58:55.7945675Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-12-04T08:58:55.8134457Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-12-04T08:58:55.8587553Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T08:58:55.9561890Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-12-04T08:58:55.9733709Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-12-04T08:58:55.9903274Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp': checked out 'b1234816facfdda29845c46696a02998a4af115a' 2025-12-04T08:58:55.9918863Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:58:55.9921571Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:58:55.9947918Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'... 2025-12-04T08:58:58.2921173Z Cloning into 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'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T08:59:16.7881784Z [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" 2025-12-04T08:59:16.8171917Z Entering 'android/libs/fbjni' 2025-12-04T08:59:16.8223804Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-12-04T08:59:16.8240906Z Entering 'third_party/FP16' 2025-12-04T08:59:16.8292719Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-12-04T08:59:16.8308858Z Entering 'third_party/FXdiv' 2025-12-04T08:59:16.8360886Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-12-04T08:59:16.8377095Z Entering 'third_party/NNPACK' 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'third_party/protobuf/third_party/benchmark' 2025-12-04T08:59:17.8065540Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T08:59:17.8107229Z Entering 'third_party/psimd' 2025-12-04T08:59:17.8148378Z Entering 'third_party/pthreadpool' 2025-12-04T08:59:17.8192489Z Entering 'third_party/pybind11' 2025-12-04T08:59:17.8233737Z Entering 'third_party/python-peachpy' 2025-12-04T08:59:17.8274989Z Entering 'third_party/sleef' 2025-12-04T08:59:17.8316600Z Entering 'third_party/tensorpipe' 2025-12-04T08:59:17.8357417Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T08:59:17.8397344Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T08:59:17.8438830Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T08:59:17.8479608Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T08:59:17.8519569Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T08:59:17.8578115Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-12-04T08:59:17.8879065Z Entering 'android/libs/fbjni' 2025-12-04T08:59:17.8920021Z Entering 'third_party/FP16' 2025-12-04T08:59:17.8964199Z Entering 'third_party/FXdiv' 2025-12-04T08:59:17.9006338Z Entering 'third_party/NNPACK' 2025-12-04T08:59:17.9048500Z Entering 'third_party/NVTX' 2025-12-04T08:59:17.9091472Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T08:59:17.9132661Z Entering 'third_party/XNNPACK' 2025-12-04T08:59:17.9191397Z Entering 'third_party/aiter' 2025-12-04T08:59:17.9233825Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T08:59:17.9283677Z Entering 'third_party/benchmark' 2025-12-04T08:59:17.9325859Z Entering 'third_party/composable_kernel' 2025-12-04T08:59:17.9375424Z Entering 'third_party/cpp-httplib' 2025-12-04T08:59:17.9417274Z Entering 'third_party/cpuinfo' 2025-12-04T08:59:17.9460410Z Entering 'third_party/cudnn_frontend' 2025-12-04T08:59:17.9502301Z Entering 'third_party/cutlass' 2025-12-04T08:59:17.9551934Z Entering 'third_party/fbgemm' 2025-12-04T08:59:17.9598705Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T08:59:17.9639317Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T08:59:17.9688365Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T08:59:17.9728637Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T08:59:17.9777313Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T08:59:17.9817678Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T08:59:17.9860219Z Entering 'third_party/fbgemm/external/json' 2025-12-04T08:59:17.9904099Z Entering 'third_party/flash-attention' 2025-12-04T08:59:17.9947917Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T08:59:17.9995751Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T08:59:18.0045170Z Entering 'third_party/flatbuffers' 2025-12-04T08:59:18.0089297Z Entering 'third_party/fmt' 2025-12-04T08:59:18.0131844Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T08:59:18.0176256Z Entering 'third_party/gloo' 2025-12-04T08:59:18.0219746Z Entering 'third_party/googletest' 2025-12-04T08:59:18.0262227Z Entering 'third_party/ideep' 2025-12-04T08:59:18.0304880Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T08:59:18.0355638Z Entering 'third_party/ittapi' 2025-12-04T08:59:18.0399255Z Entering 'third_party/kineto' 2025-12-04T08:59:18.0443752Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T08:59:18.0485285Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T08:59:18.0528970Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T08:59:18.0571224Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T08:59:18.0613055Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T08:59:18.0654387Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T08:59:18.0699018Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T08:59:18.0741259Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T08:59:18.0783458Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T08:59:18.0826456Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T08:59:18.0869990Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T08:59:18.0911666Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:59:18.0957062Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:59:18.1007199Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T08:59:18.1049468Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T08:59:18.1094085Z Entering 'third_party/kleidiai' 2025-12-04T08:59:18.1141106Z Entering 'third_party/mimalloc' 2025-12-04T08:59:18.1185408Z Entering 'third_party/nlohmann' 2025-12-04T08:59:18.1231867Z Entering 'third_party/onnx' 2025-12-04T08:59:18.1294770Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T08:59:18.1341601Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T08:59:18.1387902Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T08:59:18.1431115Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T08:59:18.1474336Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T08:59:18.1517287Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T08:59:18.1563825Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T08:59:18.1608197Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T08:59:18.1650826Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T08:59:18.1692650Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:59:18.1736091Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:59:18.1780048Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T08:59:18.1842983Z Entering 'third_party/pocketfft' 2025-12-04T08:59:18.1885698Z Entering 'third_party/protobuf' 2025-12-04T08:59:18.1932326Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T08:59:18.1975057Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T08:59:18.2017583Z Entering 'third_party/psimd' 2025-12-04T08:59:18.2062023Z Entering 'third_party/pthreadpool' 2025-12-04T08:59:18.2104846Z Entering 'third_party/pybind11' 2025-12-04T08:59:18.2147508Z Entering 'third_party/python-peachpy' 2025-12-04T08:59:18.2191025Z Entering 'third_party/sleef' 2025-12-04T08:59:18.2233243Z Entering 'third_party/tensorpipe' 2025-12-04T08:59:18.2275441Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T08:59:18.2316700Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T08:59:18.2358312Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T08:59:18.2398986Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T08:59:18.2438360Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T08:59:18.2494519Z ##[endgroup] 2025-12-04T08:59:18.2530422Z [command]/usr/bin/git log -1 --format=%H 2025-12-04T08:59:18.2556830Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:59:18.2657295Z ##[group]Run cd "${GITHUB_WORKSPACE}" 2025-12-04T08:59:18.2657660Z cd "${GITHUB_WORKSPACE}" 2025-12-04T08:59:18.2657975Z # Clean stale submodule dirs 2025-12-04T08:59:18.2658393Z if [ -z "${NO_SUDO}" ]; then 2025-12-04T08:59:18.2658797Z  sudo git submodule foreach --recursive git clean -ffdx 2025-12-04T08:59:18.2659199Z else 2025-12-04T08:59:18.2659514Z  git submodule foreach --recursive git clean -ffdx 2025-12-04T08:59:18.2659888Z fi 2025-12-04T08:59:18.2668904Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:59:18.2669279Z env: 2025-12-04T08:59:18.2669507Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:59:18.2670119Z NO_SUDO: true 2025-12-04T08:59:18.2670362Z ##[endgroup] 2025-12-04T08:59:18.2988959Z Entering 'android/libs/fbjni' 2025-12-04T08:59:18.3020475Z Entering 'third_party/FP16' 2025-12-04T08:59:18.3051271Z Entering 'third_party/FXdiv' 2025-12-04T08:59:18.3081328Z Entering 'third_party/NNPACK' 2025-12-04T08:59:18.3115392Z Entering 'third_party/NVTX' 2025-12-04T08:59:18.3153253Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T08:59:18.3185493Z Entering 'third_party/XNNPACK' 2025-12-04T08:59:18.3307231Z Entering 'third_party/aiter' 2025-12-04T08:59:18.3350471Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T08:59:18.3459305Z Entering 'third_party/benchmark' 2025-12-04T08:59:18.3492384Z Entering 'third_party/composable_kernel' 2025-12-04T08:59:18.3606521Z Entering 'third_party/cpp-httplib' 2025-12-04T08:59:18.3639871Z Entering 'third_party/cpuinfo' 2025-12-04T08:59:18.3676598Z Entering 'third_party/cudnn_frontend' 2025-12-04T08:59:18.3711336Z Entering 'third_party/cutlass' 2025-12-04T08:59:18.3811967Z Entering 'third_party/fbgemm' 2025-12-04T08:59:18.3871163Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T08:59:18.3901411Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T08:59:18.4016162Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T08:59:18.4050319Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T08:59:18.4146259Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T08:59:18.4178680Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T08:59:18.4207448Z Entering 'third_party/fbgemm/external/json' 2025-12-04T08:59:18.4249898Z Entering 'third_party/flash-attention' 2025-12-04T08:59:18.4291059Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T08:59:18.4387361Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T08:59:18.4473060Z Entering 'third_party/flatbuffers' 2025-12-04T08:59:18.4541887Z Entering 'third_party/fmt' 2025-12-04T08:59:18.4575558Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T08:59:18.4608032Z Entering 'third_party/gloo' 2025-12-04T08:59:18.4641674Z Entering 'third_party/googletest' 2025-12-04T08:59:18.4675565Z Entering 'third_party/ideep' 2025-12-04T08:59:18.4704857Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T08:59:18.4787230Z Entering 'third_party/ittapi' 2025-12-04T08:59:18.4820878Z Entering 'third_party/kineto' 2025-12-04T08:59:18.4855554Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T08:59:18.4891002Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T08:59:18.4934292Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T08:59:18.4965186Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T08:59:18.4996904Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T08:59:18.5027113Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T08:59:18.5058152Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T08:59:18.5089299Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T08:59:18.5121566Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T08:59:18.5161039Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T08:59:18.5191204Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T08:59:18.5221884Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:59:18.5267863Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:59:18.5305955Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T08:59:18.5337144Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T08:59:18.5370302Z Entering 'third_party/kleidiai' 2025-12-04T08:59:18.5409564Z Entering 'third_party/mimalloc' 2025-12-04T08:59:18.5443900Z Entering 'third_party/nlohmann' 2025-12-04T08:59:18.5488132Z Entering 'third_party/onnx' 2025-12-04T08:59:18.5815087Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T08:59:18.5850635Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T08:59:18.5905872Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T08:59:18.5936140Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T08:59:18.5967162Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T08:59:18.5998334Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T08:59:18.6038985Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T08:59:18.6070765Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T08:59:18.6100297Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T08:59:18.6132118Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:59:18.6178961Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:59:18.6212449Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T08:59:18.6471050Z Entering 'third_party/pocketfft' 2025-12-04T08:59:18.6501616Z Entering 'third_party/protobuf' 2025-12-04T08:59:18.6580392Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T08:59:18.6609926Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T08:59:18.6645693Z Entering 'third_party/psimd' 2025-12-04T08:59:18.6675457Z Entering 'third_party/pthreadpool' 2025-12-04T08:59:18.6705320Z Entering 'third_party/pybind11' 2025-12-04T08:59:18.6739137Z Entering 'third_party/python-peachpy' 2025-12-04T08:59:18.6770112Z Entering 'third_party/sleef' 2025-12-04T08:59:18.6802978Z Entering 'third_party/tensorpipe' 2025-12-04T08:59:18.6837613Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T08:59:18.6869307Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T08:59:18.6900331Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T08:59:18.6934534Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T08:59:18.6964247Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T08:59:18.7117588Z Prepare all required actions 2025-12-04T08:59:18.7118140Z Getting action download info 2025-12-04T08:59:18.8552268Z ##[group]Run ./.github/actions/setup-linux 2025-12-04T08:59:18.8552579Z env: 2025-12-04T08:59:18.8552797Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:59:18.8553057Z ##[endgroup] 2025-12-04T08:59:18.8592958Z ##[group]Run set -euo pipefail 2025-12-04T08:59:18.8593312Z set -euo pipefail 2025-12-04T08:59:18.8593606Z function get_ec2_metadata() { 2025-12-04T08:59:18.8593995Z  # Pulled from instance metadata endpoint for EC2 2025-12-04T08:59:18.8594627Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-12-04T08:59:18.8595222Z  category=$1 2025-12-04T08:59:18.8595584Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-12-04T08:59:18.8596014Z  runner_name_str=i-0be29fe326b4d7d4d 2025-12-04T08:59:18.8596410Z  if [[ -f /.inarc ]]; then 2025-12-04T08:59:18.8596749Z  echo "ARC Runner, no info on ec2 metadata" 2025-12-04T08:59:18.8597141Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-12-04T08:59:18.8597616Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-12-04T08:59:18.8598053Z  else 2025-12-04T08:59:18.8598918Z  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}" 2025-12-04T08:59:18.8599858Z  fi 2025-12-04T08:59:18.8600072Z } 2025-12-04T08:59:18.8600335Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-12-04T08:59:18.8600759Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-12-04T08:59:18.8601246Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-12-04T08:59:18.8601664Z echo "system info $(uname -a)" 2025-12-04T08:59:18.8608443Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:59:18.8608824Z env: 2025-12-04T08:59:18.8609045Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:59:18.8609295Z ##[endgroup] 2025-12-04T08:59:18.8758887Z ami-id: ami-08982f1c5bf93d976 2025-12-04T08:59:18.8862660Z instance-id: i-0be29fe326b4d7d4d 2025-12-04T08:59:18.9002467Z instance-type: c5.4xlarge 2025-12-04T08:59:18.9013696Z system info Linux ip-10-0-50-155.ec2.internal 6.1.150-174.273.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Sep 9 12:21:26 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux 2025-12-04T08:59:18.9034291Z ##[group]Run if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi 2025-12-04T08:59:18.9034792Z if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi 2025-12-04T08:59:18.9040857Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:59:18.9041253Z env: 2025-12-04T08:59:18.9041475Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:59:18.9041744Z ##[endgroup] 2025-12-04T08:59:18.9083385Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:59:18.9084339Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:59:18.9090385Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:59:18.9090772Z env: 2025-12-04T08:59:18.9090979Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:59:18.9091242Z ##[endgroup] 2025-12-04T08:59:18.9141333Z ##[group]Run if systemctl is-active --quiet docker; then 2025-12-04T08:59:18.9141883Z if systemctl is-active --quiet docker; then 2025-12-04T08:59:18.9142441Z  echo "Docker daemon is running..."; 2025-12-04T08:59:18.9142759Z else 2025-12-04T08:59:18.9143118Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-12-04T08:59:18.9143636Z fi 2025-12-04T08:59:18.9149049Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:59:18.9149444Z env: 2025-12-04T08:59:18.9149666Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:59:18.9149934Z ##[endgroup] 2025-12-04T08:59:18.9258087Z Docker daemon is running... 2025-12-04T08:59:18.9308136Z ##[group]Run nick-fields/retry@v3.0.0 2025-12-04T08:59:18.9308450Z with: 2025-12-04T08:59:18.9308643Z shell: bash 2025-12-04T08:59:18.9308869Z timeout_minutes: 5 2025-12-04T08:59:18.9309115Z max_attempts: 3 2025-12-04T08:59:18.9309343Z retry_wait_seconds: 30 2025-12-04T08:59:18.9311707Z command: AWS_ACCOUNT_ID=$(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 2025-12-04T08:59:18.9314087Z polling_interval_seconds: 1 2025-12-04T08:59:18.9314373Z warning_on_retry: true 2025-12-04T08:59:18.9314642Z continue_on_error: false 2025-12-04T08:59:18.9314888Z env: 2025-12-04T08:59:18.9315098Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:59:18.9315367Z AWS_RETRY_MODE: standard 2025-12-04T08:59:18.9315665Z AWS_MAX_ATTEMPTS: 5 2025-12-04T08:59:18.9315923Z AWS_DEFAULT_REGION: us-east-1 2025-12-04T08:59:18.9316199Z ##[endgroup] 2025-12-04T08:59:20.0517628Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T08:59:20.0518290Z Configure a credential helper to remove this warning. See 2025-12-04T08:59:20.0518864Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T08:59:20.0519271Z 2025-12-04T08:59:20.0519374Z Login Succeeded 2025-12-04T08:59:21.0159071Z Command completed after 1 attempt(s). 2025-12-04T08:59:21.0206516Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:59:21.0207046Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:59:21.0207520Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:59:21.0214225Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:59:21.0214605Z env: 2025-12-04T08:59:21.0214830Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:59:21.0215101Z ##[endgroup] 2025-12-04T08:59:21.0291521Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T08:59:21.0292084Z # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T08:59:21.0292535Z # shellcheck disable=SC2046 2025-12-04T08:59:21.0292882Z docker stop $(docker ps -q) || true 2025-12-04T08:59:21.0293240Z # Prune all of the docker images 2025-12-04T08:59:21.0293579Z docker system prune -af 2025-12-04T08:59:21.0299492Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:59:21.0299884Z env: 2025-12-04T08:59:21.0300106Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:59:21.0300360Z ##[endgroup] 2025-12-04T08:59:21.0739898Z "docker stop" requires at least 1 argument. 2025-12-04T08:59:21.0740284Z See 'docker stop --help'. 2025-12-04T08:59:21.0740472Z 2025-12-04T08:59:21.0740634Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-12-04T08:59:21.0740904Z 2025-12-04T08:59:21.0741024Z Stop one or more running containers 2025-12-04T08:59:21.1035720Z Total reclaimed space: 0B 2025-12-04T08:59:21.1217722Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-12-04T08:59:21.1218337Z with: 2025-12-04T08:59:21.1219106Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:59:21.1219975Z use-custom-docker-registry: true 2025-12-04T08:59:21.1220298Z docker-build-dir: .ci/docker 2025-12-04T08:59:21.1220593Z docker-build-script: ./build.sh 2025-12-04T08:59:21.1220882Z working-directory: . 2025-12-04T08:59:21.1221245Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:59:21.1221646Z force-push: false 2025-12-04T08:59:21.1221860Z env: 2025-12-04T08:59:21.1222072Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:59:21.1222330Z ##[endgroup] 2025-12-04T08:59:21.1240670Z ##[group]Run set -ex 2025-12-04T08:59:21.1240967Z set -ex 2025-12-04T08:59:21.1241198Z  2025-12-04T08:59:21.1241640Z # If the docker build directory or the build script doesn't exist, the action will 2025-12-04T08:59:21.1242339Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-12-04T08:59:21.1243020Z # job could then download the pre-built image as usual 2025-12-04T08:59:21.1243726Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-12-04T08:59:21.1244371Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-12-04T08:59:21.1244709Z else 2025-12-04T08:59:21.1244980Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-12-04T08:59:21.1245430Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:59:21.1245832Z  2025-12-04T08:59:21.1246403Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-12-04T08:59:21.1247053Z  exit 0 2025-12-04T08:59:21.1247264Z fi 2025-12-04T08:59:21.1247479Z  2025-12-04T08:59:21.1247817Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-12-04T08:59:21.1248432Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-12-04T08:59:21.1248961Z  # use it as it is, but first let's extract the tag 2025-12-04T08:59:21.1249446Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-12-04T08:59:21.1249960Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:59:21.1250443Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:59:21.1250855Z else 2025-12-04T08:59:21.1251121Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-12-04T08:59:21.1251508Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-12-04T08:59:21.1251895Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-12-04T08:59:21.1252234Z  fi 2025-12-04T08:59:21.1252693Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-12-04T08:59:21.1253299Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:59:21.1253947Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:59:21.1254661Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:59:21.1255091Z fi 2025-12-04T08:59:21.1261040Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:59:21.1261426Z env: 2025-12-04T08:59:21.1261645Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:59:21.1261932Z REPO_NAME: pytorch 2025-12-04T08:59:21.1262835Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:59:21.1263808Z DOCKER_BUILD_DIR: .ci/docker 2025-12-04T08:59:21.1264191Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-12-04T08:59:21.1264561Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:59:21.1264974Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-12-04T08:59:21.1265273Z CUSTOM_TAG_PREFIX: 2025-12-04T08:59:21.1265505Z ##[endgroup] 2025-12-04T08:59:21.1290139Z + [[ -d .ci/docker ]] 2025-12-04T08:59:21.1290413Z + [[ -f .ci/docker/./build.sh ]] 2025-12-04T08:59:21.1290715Z + [[ true == \t\r\u\e ]] 2025-12-04T08:59:21.1290975Z + echo skip=false 2025-12-04T08:59:21.1292036Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-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* ]] 2025-12-04T08:59:21.1297123Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:59:21.1297940Z ++ awk -F '[:,]' '{print $2}' 2025-12-04T08:59:21.1385877Z + DOCKER_TAG=pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:59:21.1386724Z + echo docker-tag=pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:59:21.1388169Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:59:21.1409930Z ##[group]Run set +e 2025-12-04T08:59:21.1410238Z set +e 2025-12-04T08:59:21.1410454Z set -x 2025-12-04T08:59:21.1410678Z  2025-12-04T08:59:21.1410889Z login() { 2025-12-04T08:59:21.1411364Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-12-04T08:59:21.1411996Z } 2025-12-04T08:59:21.1412250Z  2025-12-04T08:59:21.1412457Z retry () { 2025-12-04T08:59:21.1412732Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-12-04T08:59:21.1413053Z } 2025-12-04T08:59:21.1413244Z  2025-12-04T08:59:21.1413478Z retry login "${DOCKER_REGISTRY}" 2025-12-04T08:59:21.1413783Z  2025-12-04T08:59:21.1413998Z START_TIME=$(date +%s) 2025-12-04T08:59:21.1414282Z # Wait up to 120 minutes 2025-12-04T08:59:21.1414651Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-12-04T08:59:21.1415152Z  # Check if image already exists, if it does then skip building it 2025-12-04T08:59:21.1415638Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-12-04T08:59:21.1416008Z  exit 0 2025-12-04T08:59:21.1416244Z  fi 2025-12-04T08:59:21.1416449Z  2025-12-04T08:59:21.1416836Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-12-04T08:59:21.1417519Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-12-04T08:59:21.1418195Z  # latter, it will wait for the Docker images to become available before continuing 2025-12-04T08:59:21.1418714Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-12-04T08:59:21.1419119Z  # It's a Docker build job, let's build the image 2025-12-04T08:59:21.1419469Z  break 2025-12-04T08:59:21.1419699Z  else 2025-12-04T08:59:21.1420033Z  # It's a regular build job, wait for the image to become available 2025-12-04T08:59:21.1420448Z  sleep 300 2025-12-04T08:59:21.1420693Z  fi 2025-12-04T08:59:21.1420901Z done 2025-12-04T08:59:21.1421118Z  2025-12-04T08:59:21.1421471Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-12-04T08:59:21.1422040Z # be empty. The default action would be to continue rebuild the image 2025-12-04T08:59:21.1422711Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-12-04T08:59:21.1423271Z  # if we're on the base branch then use the parent commit 2025-12-04T08:59:21.1423760Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-12-04T08:59:21.1424072Z else 2025-12-04T08:59:21.1424403Z  # otherwise we're on a PR, so use the most recent base commit 2025-12-04T08:59:21.1424890Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-12-04T08:59:21.1425246Z fi 2025-12-04T08:59:21.1425461Z  2025-12-04T08:59:21.1425726Z if [[ -z "${MERGE_BASE}" ]]; then 2025-12-04T08:59:21.1426084Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-12-04T08:59:21.1426402Z  2025-12-04T08:59:21.1426874Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-12-04T08:59:21.1427431Z  exit 0 2025-12-04T08:59:21.1427648Z fi 2025-12-04T08:59:21.1427853Z  2025-12-04T08:59:21.1428156Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-12-04T08:59:21.1428855Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-12-04T08:59:21.1429441Z  exit 1 2025-12-04T08:59:21.1429669Z fi 2025-12-04T08:59:21.1429882Z  2025-12-04T08:59:21.1430231Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-12-04T08:59:21.1430903Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-12-04T08:59:21.1431505Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-12-04T08:59:21.1432193Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-12-04T08:59:21.1432963Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-12-04T08:59:21.1433443Z fi 2025-12-04T08:59:21.1433661Z  2025-12-04T08:59:21.1433906Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-12-04T08:59:21.1439510Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:59:21.1439890Z env: 2025-12-04T08:59:21.1440110Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:59:21.1440377Z DOCKER_BUILD_DIR: .ci/docker 2025-12-04T08:59:21.1440730Z BASE_REVISION: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:59:21.1441623Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:59:21.1442679Z DOCKER_TAG: pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:59:21.1443327Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:59:21.1443720Z DOCKER_PUSH: 2025-12-04T08:59:21.1443955Z ##[endgroup] 2025-12-04T08:59:21.1467244Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:59:21.1467746Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:59:21.1470029Z + aws ecr get-login-password --region us-east-1 2025-12-04T08:59:21.1471279Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:59:21.6511835Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T08:59:21.6512468Z Configure a credential helper to remove this warning. See 2025-12-04T08:59:21.6513076Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T08:59:21.6513470Z 2025-12-04T08:59:21.6513980Z Login Succeeded 2025-12-04T08:59:21.6528920Z ++ date +%s 2025-12-04T08:59:21.6538376Z + START_TIME=1764838761 2025-12-04T08:59:21.6541454Z ++ date +%s 2025-12-04T08:59:21.6550493Z + [[ 1764831561 -lt 1764838761 ]] 2025-12-04T08:59:21.6551675Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:59:21.8637551Z { 2025-12-04T08:59:21.8637881Z "schemaVersion": 2, 2025-12-04T08:59:21.8638309Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-12-04T08:59:21.8638755Z "config": { 2025-12-04T08:59:21.8639136Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-12-04T08:59:21.8639548Z "size": 33423, 2025-12-04T08:59:21.8639958Z "digest": "sha256:9780dc2f97696fdbf8949c2c8801180dae9765d36920db1a5b02a03b70dec983" 2025-12-04T08:59:21.8640433Z }, 2025-12-04T08:59:21.8640630Z "layers": [ 2025-12-04T08:59:21.8640826Z { 2025-12-04T08:59:21.8641160Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:21.8641585Z "size": 30447951, 2025-12-04T08:59:21.8641996Z "digest": "sha256:63e5bc7682b85ae57a1221210f64d62e7a90b0a30f19af4ca734b8242ae49d63" 2025-12-04T08:59:21.8642474Z }, 2025-12-04T08:59:21.8642698Z { 2025-12-04T08:59:21.8643037Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:21.8643473Z "size": 1554, 2025-12-04T08:59:21.8643890Z "digest": "sha256:d7732e4f533e36a90feb40d9972b8829a6b50d725bb6ff4ba1a6aa3175ea0afc" 2025-12-04T08:59:21.8644357Z }, 2025-12-04T08:59:21.8644549Z { 2025-12-04T08:59:21.8644878Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:21.8645291Z "size": 313275803, 2025-12-04T08:59:21.8645721Z "digest": "sha256:6d76d46163f970b680ed7103f9b1a917fe9b6426e663b87efe52c635b689ee2a" 2025-12-04T08:59:21.8646199Z }, 2025-12-04T08:59:21.8646417Z { 2025-12-04T08:59:21.8646749Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:21.8647170Z "size": 787, 2025-12-04T08:59:21.8647570Z "digest": "sha256:19e82287cc314aaa5b9bcd36b46a125b5924d966b255fb85d2785bbe7a846601" 2025-12-04T08:59:21.8648064Z }, 2025-12-04T08:59:21.8648258Z { 2025-12-04T08:59:21.8648578Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:21.8649007Z "size": 248032321, 2025-12-04T08:59:21.8649434Z "digest": "sha256:852c31a1f5de002df6f390a63ad6af9a7557235ab67d99ad9273390c64cbb94d" 2025-12-04T08:59:21.8649906Z }, 2025-12-04T08:59:21.8650083Z { 2025-12-04T08:59:21.8650402Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:21.8650815Z "size": 703, 2025-12-04T08:59:21.8651215Z "digest": "sha256:7a5ef3f39ece5d2095fe98dae448226653fd32da7a8bbf3c44b27a7888568308" 2025-12-04T08:59:21.8651695Z }, 2025-12-04T08:59:21.8651882Z { 2025-12-04T08:59:21.8652191Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:21.8652605Z "size": 1216, 2025-12-04T08:59:21.8653012Z "digest": "sha256:5b33d83a6793779f8167325c63d05180cd5f52a1ffad157db5f5e48ad6bf100c" 2025-12-04T08:59:21.8653467Z }, 2025-12-04T08:59:21.8653654Z { 2025-12-04T08:59:21.8653982Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:21.8654386Z "size": 483, 2025-12-04T08:59:21.8654908Z "digest": "sha256:5a3431215643ede46aa9ce168e42e58b3f48c97228e5c3bfb0c2f4a5ae999436" 2025-12-04T08:59:21.8655439Z }, 2025-12-04T08:59:21.8655631Z { 2025-12-04T08:59:21.8655943Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:21.8656359Z "size": 110, 2025-12-04T08:59:21.8656903Z "digest": "sha256:234cd9d18c98a81ce3e6170363264e20995d028b2df7badafe29204c83d0a6ef" 2025-12-04T08:59:21.8657409Z }, 2025-12-04T08:59:21.8657602Z { 2025-12-04T08:59:21.8657928Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:21.8658335Z "size": 4961, 2025-12-04T08:59:21.8658745Z "digest": "sha256:2cfbe34dd01ac0071e1673a8928959ce9b4c36d76b710294b434eb3c289a2709" 2025-12-04T08:59:21.8659220Z }, 2025-12-04T08:59:21.8659511Z + exit 0 2025-12-04T08:59:21.8659772Z { 2025-12-04T08:59:21.8660352Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:21.8660787Z "size": 1755, 2025-12-04T08:59:21.8661347Z "digest": "sha256:450bb83ff360ced6261b2dff12fff72630c9e4d097dc1a261ad3e8bbf08a8a81" 2025-12-04T08:59:21.8661834Z }, 2025-12-04T08:59:21.8662029Z { 2025-12-04T08:59:21.8662343Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:21.8662814Z "size": 724, 2025-12-04T08:59:21.8663235Z "digest": "sha256:af59f86639cd3efc5dc7cc567dc6b3fe450ea4c05d6fe43f8efe77d51ada087e" 2025-12-04T08:59:21.8663836Z }, 2025-12-04T08:59:21.8664084Z { 2025-12-04T08:59:21.8664411Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:21.8664820Z "size": 543, 2025-12-04T08:59:21.8665236Z "digest": "sha256:0fa897a49fabbe675077c1226e04e75f5da5bc1c4986ca62ccdc6de57d676197" 2025-12-04T08:59:21.8665724Z }, 2025-12-04T08:59:21.8665917Z { 2025-12-04T08:59:21.8666227Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:21.8666655Z "size": 3185194703, 2025-12-04T08:59:21.8667083Z "digest": "sha256:fcdc2c1d74218d5ddb8f731b6f6654c58312c835477373a021fad0385f3ccc77" 2025-12-04T08:59:21.8667554Z }, 2025-12-04T08:59:21.8667747Z { 2025-12-04T08:59:21.8668068Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:21.8668471Z "size": 32, 2025-12-04T08:59:21.8668927Z "digest": 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"sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:59:21.8770992Z }, 2025-12-04T08:59:21.8771171Z { 2025-12-04T08:59:21.8771493Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:21.8771909Z "size": 188, 2025-12-04T08:59:21.8772303Z "digest": "sha256:427605be73284b5113b0e1e67ad9838e97b428bb12630c4970d942bf3e2e5c48" 2025-12-04T08:59:21.8772773Z }, 2025-12-04T08:59:21.8772962Z { 2025-12-04T08:59:21.8773274Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:21.8773691Z "size": 1370, 2025-12-04T08:59:21.8774093Z "digest": "sha256:2e78828d84508c03c8e58d786ed9d36e07f7b2fc81605d83804718eab374327f" 2025-12-04T08:59:21.8774561Z }, 2025-12-04T08:59:21.8774736Z { 2025-12-04T08:59:21.8775055Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:21.8775469Z "size": 32, 2025-12-04T08:59:21.8775864Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:59:21.8776340Z }, 2025-12-04T08:59:21.8776528Z { 2025-12-04T08:59:21.8776836Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:21.8777253Z "size": 137, 2025-12-04T08:59:21.8777679Z "digest": "sha256:feb2fda8afcba8370debc6aa9bbc986876ea9cf7ae9e49d169515196baff5475" 2025-12-04T08:59:21.8778156Z }, 2025-12-04T08:59:21.8778348Z { 2025-12-04T08:59:21.8778669Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:21.8779076Z "size": 528, 2025-12-04T08:59:21.8779484Z "digest": "sha256:c39fc3292874c59d51136aa0ee79bab5bf0e97919f265ef4291fba0dd834e3a0" 2025-12-04T08:59:21.8779964Z }, 2025-12-04T08:59:21.8780153Z { 2025-12-04T08:59:21.8780466Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:21.8780882Z "size": 32, 2025-12-04T08:59:21.8781285Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:59:21.8781748Z }, 2025-12-04T08:59:21.8781938Z { 2025-12-04T08:59:21.8782258Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:21.8782660Z "size": 104, 2025-12-04T08:59:21.8783072Z "digest": "sha256:f5dd6d1bfec28cc9af198eb988f1582289ee2bdc170fe59362777713e469ea39" 2025-12-04T08:59:21.8783633Z }, 2025-12-04T08:59:21.8783816Z { 2025-12-04T08:59:21.8784143Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:21.8784572Z "size": 435, 2025-12-04T08:59:21.8784990Z "digest": "sha256:27d31f4a998f4912764ce39eab4bff6c803de4ff41f7fbed3064a1934b3a3fed" 2025-12-04T08:59:21.8785459Z }, 2025-12-04T08:59:21.8785651Z { 2025-12-04T08:59:21.8785975Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:21.8786380Z "size": 32, 2025-12-04T08:59:21.8786805Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:59:21.8787292Z }, 2025-12-04T08:59:21.8787473Z { 2025-12-04T08:59:21.8787800Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:21.8788221Z "size": 107, 2025-12-04T08:59:21.8788625Z "digest": "sha256:3a9c9df47111dfeafed5cac591fc0bb604f1340f1dde18303cf870d71363c87c" 2025-12-04T08:59:21.8789110Z }, 2025-12-04T08:59:21.8789305Z { 2025-12-04T08:59:21.8789754Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:21.8790260Z "size": 1896, 2025-12-04T08:59:21.8790667Z "digest": "sha256:49e58a7aff5060878f9536664a6d557f56bf059170903c76b1393e77f9cf5c95" 2025-12-04T08:59:21.8791136Z }, 2025-12-04T08:59:21.8791315Z { 2025-12-04T08:59:21.8791679Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:21.8792103Z "size": 245468552, 2025-12-04T08:59:21.8792512Z "digest": "sha256:d73cc70c8e38ed2bdd6456ef8204306f8fd1341e606350303970a756e42ba9f3" 2025-12-04T08:59:21.8792986Z }, 2025-12-04T08:59:21.8793171Z { 2025-12-04T08:59:21.8793480Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:21.8793890Z "size": 106, 2025-12-04T08:59:21.8794288Z "digest": "sha256:72731a4e1744538196111496baca4887e96db1b193fcb3f8f5623f929e7638f4" 2025-12-04T08:59:21.8794737Z }, 2025-12-04T08:59:21.8794928Z { 2025-12-04T08:59:21.8795253Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:21.8795660Z "size": 165, 2025-12-04T08:59:21.8796062Z "digest": "sha256:9bdfa50d4613413f368b472659d232b31fd456657ac47435dc927d37b6a4f307" 2025-12-04T08:59:21.8796528Z }, 2025-12-04T08:59:21.8796710Z { 2025-12-04T08:59:21.8797016Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:21.8797422Z "size": 7944, 2025-12-04T08:59:21.8797832Z "digest": "sha256:f92f61507c58de4ae36f98e7f3719e9c69eb24432ee3bae55b16cc5257db7be9" 2025-12-04T08:59:21.8798296Z }, 2025-12-04T08:59:21.8798488Z { 2025-12-04T08:59:21.8798807Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:21.8799209Z "size": 8075, 2025-12-04T08:59:21.8799625Z "digest": "sha256:f583bac55ad47b66396970caf7fdabf3893e9efc63fd6151e6bee5d259f7ed85" 2025-12-04T08:59:21.8800103Z }, 2025-12-04T08:59:21.8800279Z { 2025-12-04T08:59:21.8800606Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:21.8801018Z "size": 304, 2025-12-04T08:59:21.8801436Z "digest": "sha256:b38f29d5c5a1c64f24a952922f3b8625cfd36badc169cd9eacedaeb9d9001ed0" 2025-12-04T08:59:21.8801911Z }, 2025-12-04T08:59:21.8802100Z { 2025-12-04T08:59:21.8802422Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:21.8802824Z "size": 32, 2025-12-04T08:59:21.8803231Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:59:21.8803712Z }, 2025-12-04T08:59:21.8803886Z { 2025-12-04T08:59:21.8804205Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:21.8804619Z "size": 108, 2025-12-04T08:59:21.8805014Z "digest": "sha256:6f2f2987e05f7af5ef59258b3d86b62d793c0a8c29421805a09ae30c406d0648" 2025-12-04T08:59:21.8805488Z }, 2025-12-04T08:59:21.8805678Z { 2025-12-04T08:59:21.8805984Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:21.8806407Z "size": 54145664, 2025-12-04T08:59:21.8806830Z "digest": "sha256:52a8f261ecc175c6229b882ed7f423fcdb42dc3b8eb9227c0b657e0295618e13" 2025-12-04T08:59:21.8807313Z }, 2025-12-04T08:59:21.8807494Z { 2025-12-04T08:59:21.8807816Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:59:21.8808235Z "size": 32, 2025-12-04T08:59:21.8808628Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:59:21.8809104Z } 2025-12-04T08:59:21.8809292Z ] 2025-12-04T08:59:21.8809467Z } 2025-12-04T08:59:21.8836152Z ##[group]Run set -eux 2025-12-04T08:59:21.8836437Z set -eux 2025-12-04T08:59:21.8836849Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-12-04T08:59:21.8838114Z 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 2025-12-04T08:59:21.8844800Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:59:21.8845269Z env: 2025-12-04T08:59:21.8845477Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:59:21.8845745Z ##[endgroup] 2025-12-04T08:59:21.8873089Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-12-04T08:59:21.8873878Z + jq --raw-output .SecretString 2025-12-04T08:59:21.8874933Z + jq -r .docker_hub_readonly_token 2025-12-04T08:59:21.8875898Z + docker login --username pytorchbot --password-stdin 2025-12-04T08:59:22.4450890Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T08:59:22.4451525Z Configure a credential helper to remove this warning. See 2025-12-04T08:59:22.4452117Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T08:59:22.4452646Z 2025-12-04T08:59:22.4452842Z Login Succeeded 2025-12-04T08:59:22.4535376Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-12-04T08:59:22.4535776Z tag=${ECR_DOCKER_IMAGE##*:} 2025-12-04T08:59:22.4536179Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-12-04T08:59:22.4542214Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:59:22.4542595Z env: 2025-12-04T08:59:22.4542816Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:59:22.4543726Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:59:22.4544572Z ##[endgroup] 2025-12-04T08:59:22.4570556Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:59:22.4615159Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-12-04T08:59:22.4615610Z with: 2025-12-04T08:59:22.4616351Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:59:22.4617278Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:59:22.4617672Z env: 2025-12-04T08:59:22.4617887Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:59:22.4618151Z ##[endgroup] 2025-12-04T08:59:22.4632469Z ##[group]Run set -x 2025-12-04T08:59:22.4632745Z set -x 2025-12-04T08:59:22.4632961Z set +e 2025-12-04T08:59:22.4633184Z  2025-12-04T08:59:22.4633398Z login() { 2025-12-04T08:59:22.4633867Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-12-04T08:59:22.4634396Z } 2025-12-04T08:59:22.4634604Z  2025-12-04T08:59:22.4634849Z retry () { 2025-12-04T08:59:22.4635109Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-12-04T08:59:22.4635428Z } 2025-12-04T08:59:22.4635632Z  2025-12-04T08:59:22.4635868Z retry login "${DOCKER_REGISTRY}" 2025-12-04T08:59:22.4636164Z  2025-12-04T08:59:22.4636659Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-12-04T08:59:22.4637348Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-12-04T08:59:22.4637713Z  2025-12-04T08:59:22.4637923Z set -e 2025-12-04T08:59:22.4638264Z # ignore output since only exit code is used for conditional 2025-12-04T08:59:22.4638758Z # only pull docker image if it's not available locally 2025-12-04T08:59:22.4639293Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-12-04T08:59:22.4639805Z  retry docker pull "${DOCKER_IMAGE}" 2025-12-04T08:59:22.4640127Z fi 2025-12-04T08:59:22.4645592Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:59:22.4645976Z env: 2025-12-04T08:59:22.4646195Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:59:22.4646978Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:59:22.4648038Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:59:22.4648430Z ##[endgroup] 2025-12-04T08:59:22.4671862Z + set +e 2025-12-04T08:59:22.4672368Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:59:22.4672820Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:59:22.4675128Z + aws ecr get-login-password --region us-east-1 2025-12-04T08:59:22.4676519Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:59:23.0027657Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T08:59:23.0028293Z Configure a credential helper to remove this warning. See 2025-12-04T08:59:23.0028875Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T08:59:23.0029281Z 2025-12-04T08:59:23.0029399Z Login Succeeded 2025-12-04T08:59:23.0047353Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:59:23.0048340Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-12-04T08:59:23.1902019Z + IMAGE_SIZE=4346.579107284546 2025-12-04T08:59:23.1902445Z + echo 'Compressed size of image in MB: 4346.579107284546' 2025-12-04T08:59:23.1902876Z Compressed size of image in MB: 4346.579107284546 2025-12-04T08:59:23.1903223Z + set -e 2025-12-04T08:59:23.1904451Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:59:23.2029039Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:59:23.2030447Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:59:23.4118468Z pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a: Pulling from pytorch/ci-image 2025-12-04T08:59:23.4119544Z 63e5bc7682b8: Pulling fs layer 2025-12-04T08:59:23.4119967Z d7732e4f533e: Pulling fs layer 2025-12-04T08:59:23.4120437Z 6d76d46163f9: Pulling fs layer 2025-12-04T08:59:23.4120918Z 19e82287cc31: Pulling fs layer 2025-12-04T08:59:23.4121443Z 852c31a1f5de: Pulling fs layer 2025-12-04T08:59:23.4121908Z 7a5ef3f39ece: Pulling fs layer 2025-12-04T08:59:23.4122237Z 5b33d83a6793: Pulling fs layer 2025-12-04T08:59:23.4122641Z 5a3431215643: Pulling fs layer 2025-12-04T08:59:23.4123170Z 234cd9d18c98: Pulling fs layer 2025-12-04T08:59:23.4123683Z 2cfbe34dd01a: Pulling fs layer 2025-12-04T08:59:23.4124105Z 450bb83ff360: Pulling fs layer 2025-12-04T08:59:23.4124380Z 7a5ef3f39ece: Waiting 2025-12-04T08:59:23.4124637Z af59f86639cd: Pulling fs layer 2025-12-04T08:59:23.4124909Z 0fa897a49fab: Pulling fs layer 2025-12-04T08:59:23.4125360Z 5b33d83a6793: Waiting 2025-12-04T08:59:23.4125740Z 5a3431215643: Waiting 2025-12-04T08:59:23.4125995Z 234cd9d18c98: Waiting 2025-12-04T08:59:23.4126265Z 450bb83ff360: Waiting 2025-12-04T08:59:23.4126624Z 2cfbe34dd01a: Waiting 2025-12-04T08:59:23.4126918Z fcdc2c1d7421: Pulling fs layer 2025-12-04T08:59:23.4127193Z 4f4fb700ef54: Pulling fs layer 2025-12-04T08:59:23.4127518Z fe6dfc1a05e1: Pulling fs layer 2025-12-04T08:59:23.4127829Z 95bfeb706c37: Pulling fs layer 2025-12-04T08:59:23.4128100Z fcdc2c1d7421: Waiting 2025-12-04T08:59:23.4128402Z 0fa897a49fab: Waiting 2025-12-04T08:59:23.4128645Z fe6dfc1a05e1: Waiting 2025-12-04T08:59:23.4128984Z a8da7b63746a: Pulling fs layer 2025-12-04T08:59:23.4129246Z 95bfeb706c37: Waiting 2025-12-04T08:59:23.4129496Z 2331b2ca31ab: Pulling fs layer 2025-12-04T08:59:23.4129780Z 6941965a4423: Pulling fs layer 2025-12-04T08:59:23.4130051Z 6b9b6e9eeb32: Pulling fs layer 2025-12-04T08:59:23.4130324Z a8da7b63746a: Waiting 2025-12-04T08:59:23.4130564Z 2331b2ca31ab: Waiting 2025-12-04T08:59:23.4130787Z 6941965a4423: Waiting 2025-12-04T08:59:23.4131245Z 8af7417fa12e: Pulling fs layer 2025-12-04T08:59:23.4131528Z a03109654b6e: Pulling fs layer 2025-12-04T08:59:23.4131784Z 852c31a1f5de: Waiting 2025-12-04T08:59:23.4132024Z 8af7417fa12e: Waiting 2025-12-04T08:59:23.4132279Z df36980ea84b: Pulling fs layer 2025-12-04T08:59:23.4132544Z 6b9b6e9eeb32: Waiting 2025-12-04T08:59:23.4132797Z c44ce13a2845: Pulling fs layer 2025-12-04T08:59:23.4133065Z a03109654b6e: Waiting 2025-12-04T08:59:23.4133300Z 2c4c6714dbd1: Pulling fs layer 2025-12-04T08:59:23.4133570Z c44ce13a2845: Waiting 2025-12-04T08:59:23.4133806Z df36980ea84b: Waiting 2025-12-04T08:59:23.4134046Z 8207228fcdf1: Pulling fs layer 2025-12-04T08:59:23.4134340Z 139b745a81e3: Pulling fs layer 2025-12-04T08:59:23.4134609Z 2c4c6714dbd1: Waiting 2025-12-04T08:59:23.4134846Z 8207228fcdf1: Waiting 2025-12-04T08:59:23.4135149Z ba4481f5578c: Pulling fs layer 2025-12-04T08:59:23.4135418Z 139b745a81e3: Waiting 2025-12-04T08:59:23.4135666Z 203dba8ae10a: Pulling fs layer 2025-12-04T08:59:23.4135940Z f41aa33686f2: Pulling fs layer 2025-12-04T08:59:23.4136352Z af59f86639cd: Waiting 2025-12-04T08:59:23.4136752Z deddacf20e34: Pulling fs layer 2025-12-04T08:59:23.4137241Z f79064513f3e: Pulling fs layer 2025-12-04T08:59:23.4137758Z c07a02d0d80b: Pulling fs layer 2025-12-04T08:59:23.4138173Z 203dba8ae10a: Waiting 2025-12-04T08:59:23.4138428Z deddacf20e34: Waiting 2025-12-04T08:59:23.4138679Z f41aa33686f2: Waiting 2025-12-04T08:59:23.4138914Z f79064513f3e: Waiting 2025-12-04T08:59:23.4139229Z ba4481f5578c: Waiting 2025-12-04T08:59:23.4139714Z ed5b2189cf6c: Pulling fs layer 2025-12-04T08:59:23.4140284Z c07a02d0d80b: Waiting 2025-12-04T08:59:23.4140627Z 9cd2d3b0d1e2: Pulling fs layer 2025-12-04T08:59:23.4141036Z 3a2a672930d7: Pulling fs layer 2025-12-04T08:59:23.4141412Z 170033e2e274: Pulling fs layer 2025-12-04T08:59:23.4141816Z 3a2a672930d7: Waiting 2025-12-04T08:59:23.4142157Z 9cd2d3b0d1e2: Waiting 2025-12-04T08:59:23.4142497Z ed5b2189cf6c: Waiting 2025-12-04T08:59:23.4154564Z 2f0d2adf918f: Pulling fs layer 2025-12-04T08:59:23.4155031Z db69eeaa71a7: Pulling fs layer 2025-12-04T08:59:23.4155333Z 8a38b1604420: Pulling fs layer 2025-12-04T08:59:23.4155728Z 31f20538df74: Pulling fs layer 2025-12-04T08:59:23.4156167Z 45c2db9c5094: Pulling fs layer 2025-12-04T08:59:23.4156621Z 170033e2e274: Waiting 2025-12-04T08:59:23.4157006Z 2f0d2adf918f: Waiting 2025-12-04T08:59:23.4157389Z 8a38b1604420: Waiting 2025-12-04T08:59:23.4157747Z 31f20538df74: Waiting 2025-12-04T08:59:23.4158120Z 83fc83d4a71b: Pulling fs layer 2025-12-04T08:59:23.4158557Z 45c2db9c5094: Waiting 2025-12-04T08:59:23.4158861Z 83fc83d4a71b: Waiting 2025-12-04T08:59:23.4159105Z ed733351a4e9: Pulling fs layer 2025-12-04T08:59:23.4159387Z db69eeaa71a7: Waiting 2025-12-04T08:59:23.4159644Z bbae6fe5c9bd: Pulling fs layer 2025-12-04T08:59:23.4159920Z e5bc3a7842c5: Pulling fs layer 2025-12-04T08:59:23.4160284Z ed733351a4e9: Waiting 2025-12-04T08:59:23.4160529Z bbae6fe5c9bd: Waiting 2025-12-04T08:59:23.4160775Z 28fdea47e6d4: Pulling fs layer 2025-12-04T08:59:23.4161063Z e5bc3a7842c5: Waiting 2025-12-04T08:59:23.4161302Z 28fdea47e6d4: Waiting 2025-12-04T08:59:23.4161544Z 3eaf1ac0ebe0: Pulling fs layer 2025-12-04T08:59:23.4161865Z 9b7d9abce1de: Pulling fs layer 2025-12-04T08:59:23.4162149Z 50a30c3af4ed: Pulling fs layer 2025-12-04T08:59:23.4162420Z 3eaf1ac0ebe0: Waiting 2025-12-04T08:59:23.4162655Z 427605be7328: Pulling fs layer 2025-12-04T08:59:23.4162933Z 2e78828d8450: Pulling fs layer 2025-12-04T08:59:23.4163204Z 50a30c3af4ed: Waiting 2025-12-04T08:59:23.4163434Z 9b7d9abce1de: Waiting 2025-12-04T08:59:23.4163688Z feb2fda8afcb: Pulling fs layer 2025-12-04T08:59:23.4163965Z 427605be7328: Waiting 2025-12-04T08:59:23.4164187Z 2e78828d8450: Waiting 2025-12-04T08:59:23.4164431Z c39fc3292874: Pulling fs layer 2025-12-04T08:59:23.4164705Z feb2fda8afcb: Waiting 2025-12-04T08:59:23.4164962Z f5dd6d1bfec2: Pulling fs layer 2025-12-04T08:59:23.4165221Z c39fc3292874: Waiting 2025-12-04T08:59:23.4165469Z 27d31f4a998f: Pulling fs layer 2025-12-04T08:59:23.4165745Z f5dd6d1bfec2: Waiting 2025-12-04T08:59:23.4166135Z 3a9c9df47111: Pulling fs layer 2025-12-04T08:59:23.4166419Z 49e58a7aff50: Pulling fs layer 2025-12-04T08:59:23.4166702Z d73cc70c8e38: Pulling fs layer 2025-12-04T08:59:23.4166968Z 72731a4e1744: Pulling fs layer 2025-12-04T08:59:23.4167250Z 9bdfa50d4613: Pulling fs layer 2025-12-04T08:59:23.4167521Z 27d31f4a998f: Waiting 2025-12-04T08:59:23.4167748Z 49e58a7aff50: Waiting 2025-12-04T08:59:23.4167983Z 72731a4e1744: Waiting 2025-12-04T08:59:23.4168230Z f92f61507c58: Pulling fs layer 2025-12-04T08:59:23.4168487Z 3a9c9df47111: Waiting 2025-12-04T08:59:23.4168730Z 9bdfa50d4613: Waiting 2025-12-04T08:59:23.4168967Z d73cc70c8e38: Waiting 2025-12-04T08:59:23.4169204Z f583bac55ad4: Pulling fs layer 2025-12-04T08:59:23.4169489Z b38f29d5c5a1: Pulling fs layer 2025-12-04T08:59:23.4169930Z f92f61507c58: Waiting 2025-12-04T08:59:23.4170167Z 6f2f2987e05f: Pulling fs layer 2025-12-04T08:59:23.4170449Z 52a8f261ecc1: Pulling fs layer 2025-12-04T08:59:23.4170723Z f583bac55ad4: Waiting 2025-12-04T08:59:23.4170973Z 52a8f261ecc1: Waiting 2025-12-04T08:59:23.4171199Z b38f29d5c5a1: Waiting 2025-12-04T08:59:23.4171434Z 6f2f2987e05f: Waiting 2025-12-04T08:59:23.4753611Z d7732e4f533e: Verifying Checksum 2025-12-04T08:59:23.4754004Z d7732e4f533e: Download complete 2025-12-04T08:59:23.5520382Z 19e82287cc31: Download complete 2025-12-04T08:59:23.7684606Z 63e5bc7682b8: Download complete 2025-12-04T08:59:23.8416462Z 7a5ef3f39ece: Verifying Checksum 2025-12-04T08:59:23.8416857Z 7a5ef3f39ece: Download complete 2025-12-04T08:59:23.9163368Z 5b33d83a6793: Verifying Checksum 2025-12-04T08:59:23.9163973Z 5b33d83a6793: Download complete 2025-12-04T08:59:23.9755078Z 5a3431215643: Verifying Checksum 2025-12-04T08:59:23.9755485Z 5a3431215643: Download complete 2025-12-04T08:59:24.0511818Z 234cd9d18c98: Verifying Checksum 2025-12-04T08:59:24.0512207Z 234cd9d18c98: Download complete 2025-12-04T08:59:24.1232952Z 2cfbe34dd01a: Download complete 2025-12-04T08:59:24.2059245Z 450bb83ff360: Verifying Checksum 2025-12-04T08:59:24.2059665Z 450bb83ff360: Download complete 2025-12-04T08:59:24.2792782Z af59f86639cd: Verifying Checksum 2025-12-04T08:59:24.2793156Z af59f86639cd: Download complete 2025-12-04T08:59:24.3515711Z 0fa897a49fab: Download complete 2025-12-04T08:59:24.6254588Z 63e5bc7682b8: Pull complete 2025-12-04T08:59:24.6477642Z d7732e4f533e: Pull complete 2025-12-04T08:59:26.0891567Z 852c31a1f5de: Verifying Checksum 2025-12-04T08:59:26.0891948Z 852c31a1f5de: Download complete 2025-12-04T08:59:26.0964217Z 4f4fb700ef54: Download complete 2025-12-04T08:59:26.1650137Z fe6dfc1a05e1: Download complete 2025-12-04T08:59:26.2326714Z 95bfeb706c37: Verifying Checksum 2025-12-04T08:59:26.2327096Z 95bfeb706c37: Download complete 2025-12-04T08:59:26.3061400Z a8da7b63746a: Verifying Checksum 2025-12-04T08:59:26.3062404Z a8da7b63746a: Download complete 2025-12-04T08:59:26.4101507Z 2331b2ca31ab: Verifying Checksum 2025-12-04T08:59:26.4102069Z 2331b2ca31ab: Download complete 2025-12-04T08:59:26.4935847Z 6941965a4423: Verifying Checksum 2025-12-04T08:59:26.4936336Z 6941965a4423: Download complete 2025-12-04T08:59:26.5560064Z 6b9b6e9eeb32: Verifying Checksum 2025-12-04T08:59:26.5560416Z 6b9b6e9eeb32: Download complete 2025-12-04T08:59:26.5823257Z 6d76d46163f9: Verifying Checksum 2025-12-04T08:59:26.5823707Z 6d76d46163f9: Download complete 2025-12-04T08:59:26.6238954Z 8af7417fa12e: Verifying Checksum 2025-12-04T08:59:26.6239325Z 8af7417fa12e: Download complete 2025-12-04T08:59:26.6812158Z df36980ea84b: Verifying Checksum 2025-12-04T08:59:26.6812549Z df36980ea84b: Download complete 2025-12-04T08:59:26.6860092Z a03109654b6e: Verifying Checksum 2025-12-04T08:59:26.6860431Z a03109654b6e: Download complete 2025-12-04T08:59:26.7468717Z c44ce13a2845: Download complete 2025-12-04T08:59:26.7675609Z 2c4c6714dbd1: Download complete 2025-12-04T08:59:26.8421842Z 8207228fcdf1: Verifying Checksum 2025-12-04T08:59:26.8422177Z 8207228fcdf1: Download complete 2025-12-04T08:59:26.9130226Z ba4481f5578c: Download complete 2025-12-04T08:59:26.9805113Z 203dba8ae10a: Download complete 2025-12-04T08:59:27.0555892Z f41aa33686f2: Verifying Checksum 2025-12-04T08:59:27.0556463Z f41aa33686f2: Download complete 2025-12-04T08:59:27.1392439Z deddacf20e34: Download complete 2025-12-04T08:59:27.3714755Z f79064513f3e: Verifying Checksum 2025-12-04T08:59:27.3715265Z f79064513f3e: Download complete 2025-12-04T08:59:27.4506761Z c07a02d0d80b: Download complete 2025-12-04T08:59:27.5466844Z ed5b2189cf6c: Download complete 2025-12-04T08:59:27.6353066Z 9cd2d3b0d1e2: Verifying Checksum 2025-12-04T08:59:27.6353453Z 9cd2d3b0d1e2: Download complete 2025-12-04T08:59:27.6961512Z 3a2a672930d7: Verifying Checksum 2025-12-04T08:59:27.6962051Z 3a2a672930d7: Download complete 2025-12-04T08:59:27.7667656Z 170033e2e274: Download complete 2025-12-04T08:59:27.8476122Z 2f0d2adf918f: Verifying Checksum 2025-12-04T08:59:27.8476692Z 2f0d2adf918f: Download complete 2025-12-04T08:59:27.9050649Z db69eeaa71a7: Verifying Checksum 2025-12-04T08:59:27.9051294Z db69eeaa71a7: Download complete 2025-12-04T08:59:27.9664034Z 8a38b1604420: Verifying Checksum 2025-12-04T08:59:27.9664548Z 8a38b1604420: Download complete 2025-12-04T08:59:28.0198159Z 31f20538df74: Verifying Checksum 2025-12-04T08:59:28.0198747Z 31f20538df74: Download complete 2025-12-04T08:59:28.0758497Z 45c2db9c5094: Verifying Checksum 2025-12-04T08:59:28.1412575Z 83fc83d4a71b: Verifying Checksum 2025-12-04T08:59:28.1413151Z 83fc83d4a71b: Download complete 2025-12-04T08:59:28.1980675Z ed733351a4e9: Verifying Checksum 2025-12-04T08:59:28.1981072Z ed733351a4e9: Download complete 2025-12-04T08:59:28.2722812Z bbae6fe5c9bd: Verifying Checksum 2025-12-04T08:59:28.2723597Z bbae6fe5c9bd: Download complete 2025-12-04T08:59:28.3435530Z e5bc3a7842c5: Download complete 2025-12-04T08:59:28.4203508Z 28fdea47e6d4: Download complete 2025-12-04T08:59:28.4979481Z 3eaf1ac0ebe0: Download complete 2025-12-04T08:59:28.5808761Z 9b7d9abce1de: Download complete 2025-12-04T08:59:28.6439240Z 50a30c3af4ed: Verifying Checksum 2025-12-04T08:59:28.6439616Z 50a30c3af4ed: Download complete 2025-12-04T08:59:28.7176210Z 427605be7328: Verifying Checksum 2025-12-04T08:59:28.7176579Z 427605be7328: Download complete 2025-12-04T08:59:28.7989203Z 2e78828d8450: Verifying Checksum 2025-12-04T08:59:28.7989607Z 2e78828d8450: Download complete 2025-12-04T08:59:28.8646787Z feb2fda8afcb: Verifying Checksum 2025-12-04T08:59:28.8647186Z feb2fda8afcb: Download complete 2025-12-04T08:59:28.9350609Z c39fc3292874: Verifying Checksum 2025-12-04T08:59:28.9350965Z c39fc3292874: Download complete 2025-12-04T08:59:29.0073410Z f5dd6d1bfec2: Verifying Checksum 2025-12-04T08:59:29.0073988Z f5dd6d1bfec2: Download complete 2025-12-04T08:59:29.0827531Z 27d31f4a998f: Verifying Checksum 2025-12-04T08:59:29.0827912Z 27d31f4a998f: Download complete 2025-12-04T08:59:29.1546858Z 3a9c9df47111: Download complete 2025-12-04T08:59:29.2271732Z 49e58a7aff50: Verifying Checksum 2025-12-04T08:59:29.2272192Z 49e58a7aff50: Download complete 2025-12-04T08:59:31.4050520Z 139b745a81e3: Verifying Checksum 2025-12-04T08:59:31.4050940Z 139b745a81e3: Download complete 2025-12-04T08:59:31.4874237Z 72731a4e1744: Verifying Checksum 2025-12-04T08:59:31.4874629Z 72731a4e1744: Download complete 2025-12-04T08:59:31.5602365Z 9bdfa50d4613: Download complete 2025-12-04T08:59:31.6374325Z f92f61507c58: Verifying Checksum 2025-12-04T08:59:31.7501839Z f583bac55ad4: Verifying Checksum 2025-12-04T08:59:31.7502234Z f583bac55ad4: Download complete 2025-12-04T08:59:31.7960506Z d73cc70c8e38: Verifying Checksum 2025-12-04T08:59:31.7960942Z d73cc70c8e38: Download complete 2025-12-04T08:59:31.8076208Z b38f29d5c5a1: Download complete 2025-12-04T08:59:31.8849260Z 6f2f2987e05f: Verifying Checksum 2025-12-04T08:59:31.8849636Z 6f2f2987e05f: Download complete 2025-12-04T08:59:32.3898897Z 52a8f261ecc1: Verifying Checksum 2025-12-04T08:59:32.3899473Z 52a8f261ecc1: Download complete 2025-12-04T08:59:34.2313873Z 6d76d46163f9: Pull complete 2025-12-04T08:59:34.3992189Z 19e82287cc31: Pull complete 2025-12-04T08:59:39.3975446Z 852c31a1f5de: Pull complete 2025-12-04T08:59:39.5309224Z 7a5ef3f39ece: Pull complete 2025-12-04T08:59:39.6657364Z 5b33d83a6793: Pull complete 2025-12-04T08:59:39.7923297Z 5a3431215643: Pull complete 2025-12-04T08:59:39.9213106Z 234cd9d18c98: Pull complete 2025-12-04T08:59:40.0454847Z 2cfbe34dd01a: Pull complete 2025-12-04T08:59:40.1641239Z 450bb83ff360: Pull complete 2025-12-04T08:59:40.3063833Z af59f86639cd: Pull complete 2025-12-04T08:59:40.4257943Z 0fa897a49fab: Pull complete 2025-12-04T08:59:56.2441339Z fcdc2c1d7421: Verifying Checksum 2025-12-04T08:59:56.2441738Z fcdc2c1d7421: Download complete 2025-12-04T09:00:41.2841987Z fcdc2c1d7421: Pull complete 2025-12-04T09:00:41.5092122Z 4f4fb700ef54: Pull complete 2025-12-04T09:00:41.7318799Z fe6dfc1a05e1: Pull complete 2025-12-04T09:00:41.9620898Z 95bfeb706c37: Pull complete 2025-12-04T09:00:42.0499835Z a8da7b63746a: Pull complete 2025-12-04T09:00:42.1320291Z 2331b2ca31ab: Pull complete 2025-12-04T09:00:42.1848989Z 6941965a4423: Pull complete 2025-12-04T09:00:42.2906126Z 6b9b6e9eeb32: Pull complete 2025-12-04T09:00:42.5055651Z 8af7417fa12e: Pull complete 2025-12-04T09:00:42.6958714Z a03109654b6e: Pull complete 2025-12-04T09:00:42.8727207Z df36980ea84b: Pull complete 2025-12-04T09:00:42.9854443Z c44ce13a2845: Pull complete 2025-12-04T09:00:43.3281701Z 2c4c6714dbd1: Pull complete 2025-12-04T09:00:43.5516565Z 8207228fcdf1: Pull complete 2025-12-04T09:00:50.6521194Z 139b745a81e3: Pull complete 2025-12-04T09:00:50.8285103Z ba4481f5578c: Pull complete 2025-12-04T09:00:51.0429076Z 203dba8ae10a: Pull complete 2025-12-04T09:00:51.3168260Z f41aa33686f2: Pull complete 2025-12-04T09:00:51.4150735Z deddacf20e34: Pull complete 2025-12-04T09:00:51.7244468Z f79064513f3e: Pull complete 2025-12-04T09:00:51.8511599Z c07a02d0d80b: Pull complete 2025-12-04T09:00:52.0653673Z ed5b2189cf6c: Pull complete 2025-12-04T09:00:52.4708492Z 9cd2d3b0d1e2: Pull complete 2025-12-04T09:00:52.6222461Z 3a2a672930d7: Pull complete 2025-12-04T09:00:52.8011838Z 170033e2e274: Pull complete 2025-12-04T09:00:53.2057092Z 2f0d2adf918f: Pull complete 2025-12-04T09:00:53.4079731Z db69eeaa71a7: Pull complete 2025-12-04T09:00:53.7146280Z 8a38b1604420: Pull complete 2025-12-04T09:00:53.8229036Z 31f20538df74: Pull complete 2025-12-04T09:00:53.9552177Z 45c2db9c5094: Pull complete 2025-12-04T09:00:54.0626423Z 83fc83d4a71b: Pull complete 2025-12-04T09:00:54.2922153Z ed733351a4e9: Pull complete 2025-12-04T09:00:54.6486354Z bbae6fe5c9bd: Pull complete 2025-12-04T09:00:54.8744886Z e5bc3a7842c5: Pull complete 2025-12-04T09:00:55.2731246Z 28fdea47e6d4: Pull complete 2025-12-04T09:00:55.4434501Z 3eaf1ac0ebe0: Pull complete 2025-12-04T09:00:55.5382916Z 9b7d9abce1de: Pull complete 2025-12-04T09:00:55.7533821Z 50a30c3af4ed: Pull complete 2025-12-04T09:00:56.1902971Z 427605be7328: Pull complete 2025-12-04T09:00:56.4058862Z 2e78828d8450: Pull complete 2025-12-04T09:00:56.8268212Z feb2fda8afcb: Pull complete 2025-12-04T09:00:56.9828075Z c39fc3292874: Pull complete 2025-12-04T09:00:57.3104424Z f5dd6d1bfec2: Pull complete 2025-12-04T09:00:57.5285363Z 27d31f4a998f: Pull complete 2025-12-04T09:00:57.7775659Z 3a9c9df47111: Pull complete 2025-12-04T09:00:57.9692236Z 49e58a7aff50: Pull complete 2025-12-04T09:01:03.6820389Z d73cc70c8e38: Pull complete 2025-12-04T09:01:03.8596463Z 72731a4e1744: Pull complete 2025-12-04T09:01:04.0898945Z 9bdfa50d4613: Pull complete 2025-12-04T09:01:04.3037615Z f92f61507c58: Pull complete 2025-12-04T09:01:04.5326502Z f583bac55ad4: Pull complete 2025-12-04T09:01:04.7500062Z b38f29d5c5a1: Pull complete 2025-12-04T09:01:05.1955917Z 6f2f2987e05f: Pull complete 2025-12-04T09:01:06.8685325Z 52a8f261ecc1: Pull complete 2025-12-04T09:01:07.1782109Z Digest: sha256:7e1c24debf12b78c62b7f0a71dfed065e57bf2457fa65b1cbaff63d50a90686e 2025-12-04T09:01:07.2203199Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:01:07.2391183Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:01:07.2444229Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:01:07.2445228Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:01:07.2453719Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:01:07.2454097Z env: 2025-12-04T09:01:07.2454325Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:01:07.2454594Z ##[endgroup] 2025-12-04T09:01:07.2626418Z ##[group]Run pytorch/test-infra/.github/actions/setup-nvidia@main 2025-12-04T09:01:07.2626859Z with: 2025-12-04T09:01:07.2627083Z driver-version: 580.82.07 2025-12-04T09:01:07.2627332Z env: 2025-12-04T09:01:07.2627555Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:01:07.2627824Z ##[endgroup] 2025-12-04T09:01:07.2714730Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:01:07.2715713Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:01:07.2722244Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:01:07.2722638Z env: 2025-12-04T09:01:07.2722859Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:01:07.2723113Z ##[endgroup] 2025-12-04T09:01:07.2805667Z ##[group]Run set -euo pipefail 2025-12-04T09:01:07.2806017Z set -euo pipefail 2025-12-04T09:01:07.2806341Z  2025-12-04T09:01:07.2806548Z has_gpu=false 2025-12-04T09:01:07.2806811Z devices="" 2025-12-04T09:01:07.2807051Z  2025-12-04T09:01:07.2807348Z if command -v nvidia-smi >/dev/null 2>&1; then 2025-12-04T09:01:07.2807807Z  if nvidia-smi -L >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T09:01:07.2808203Z  has_gpu=true 2025-12-04T09:01:07.2808508Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T09:01:07.2808840Z  fi 2025-12-04T09:01:07.2809059Z fi 2025-12-04T09:01:07.2809271Z  2025-12-04T09:01:07.2809484Z if [ "$has_gpu" = false ]; then 2025-12-04T09:01:07.2809884Z  if ls /dev/nvidia* >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T09:01:07.2810275Z  has_gpu=true 2025-12-04T09:01:07.2810576Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T09:01:07.2810891Z  fi 2025-12-04T09:01:07.2811108Z fi 2025-12-04T09:01:07.2811323Z  2025-12-04T09:01:07.2811622Z if [ "$has_gpu" = false ] && command -v lspci >/dev/null 2>&1; then 2025-12-04T09:01:07.2812143Z  if lspci | grep -i 'nvidia' >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T09:01:07.2812566Z  has_gpu=true 2025-12-04T09:01:07.2812854Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T09:01:07.2813178Z  fi 2025-12-04T09:01:07.2813393Z fi 2025-12-04T09:01:07.2813596Z  2025-12-04T09:01:07.2813902Z printf 'HAS_NVIDIA=%s\n' "$has_gpu" >> "$GITHUB_OUTPUT" 2025-12-04T09:01:07.2814453Z printf 'DETECTED_DEVICES<> "$GITHUB_OUTPUT" 2025-12-04T09:01:07.2820561Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:01:07.2820937Z env: 2025-12-04T09:01:07.2821163Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:01:07.2821431Z ##[endgroup] 2025-12-04T09:01:07.4068904Z ##[group]Run if [ "${HAS_NVIDIA}" = "true" ]; then 2025-12-04T09:01:07.4069331Z if [ "${HAS_NVIDIA}" = "true" ]; then 2025-12-04T09:01:07.4069925Z  echo "HAS_NVIDIA_GPU=true" >> "${GITHUB_ENV}" 2025-12-04T09:01:07.4070460Z  echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-12-04T09:01:07.4070942Z else 2025-12-04T09:01:07.4071212Z  echo "HAS_NVIDIA_GPU=false" >> "${GITHUB_ENV}" 2025-12-04T09:01:07.4071563Z fi 2025-12-04T09:01:07.4079307Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:01:07.4079682Z env: 2025-12-04T09:01:07.4079902Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:01:07.4080174Z HAS_NVIDIA: false 2025-12-04T09:01:07.4080395Z ##[endgroup] 2025-12-04T09:01:07.4165922Z Prepare all required actions 2025-12-04T09:01:07.4247291Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-12-04T09:01:07.4247648Z with: 2025-12-04T09:01:07.4248328Z github-token: *** 2025-12-04T09:01:07.4248573Z env: 2025-12-04T09:01:07.4248779Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:01:07.4249055Z HAS_NVIDIA_GPU: false 2025-12-04T09:01:07.4249311Z ##[endgroup] 2025-12-04T09:01:07.4311340Z ##[group]Run set -eux 2025-12-04T09:01:07.4311615Z set -eux 2025-12-04T09:01:07.4312126Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-12-04T09:01:07.4318658Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:01:07.4319203Z env: 2025-12-04T09:01:07.4319561Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:01:07.4335341Z HAS_NVIDIA_GPU: false 2025-12-04T09:01:07.4335890Z GITHUB_TOKEN: *** 2025-12-04T09:01:07.4336144Z ##[endgroup] 2025-12-04T09:01:07.4361427Z + python3 .github/scripts/get_workflow_job_id.py 19922814090 i-0be29fe326b4d7d4d 2025-12-04T09:01:10.2201828Z Setting output job-id=57116446492 2025-12-04T09:01:10.2202510Z Setting output job-name=linux-jammy-py3.10-clang18-asan / test (default, 1, 7, linux.4xlarge, rerun_disabled_tests) 2025-12-04T09:01:10.2319555Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-12-04T09:01:10.2320304Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-12-04T09:01:10.2321286Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-12-04T09:01:10.2322158Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:01:10.2328666Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:01:10.2329040Z env: 2025-12-04T09:01:10.2329264Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:01:10.2329538Z HAS_NVIDIA_GPU: false 2025-12-04T09:01:10.2329774Z JOB_ID: 57116446492 2025-12-04T09:01:10.2330266Z JOB_NAME: linux-jammy-py3.10-clang18-asan / test (default, 1, 7, linux.4xlarge, rerun_disabled_tests) 2025-12-04T09:01:10.2330825Z WORKFLOW_NAME: pull 2025-12-04T09:01:10.2331124Z WORKFLOW_RUN_ID: 19922814090 2025-12-04T09:01:10.2331406Z MONITOR_LOG_INTERVAL: 5 2025-12-04T09:01:10.2331667Z MONITOR_DATA_COLLECT_INTERVAL: 1 2025-12-04T09:01:10.2331963Z ##[endgroup] 2025-12-04T09:01:10.5219914Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T09:01:10.8841882Z Collecting psutil==5.9.8 2025-12-04T09:01:10.9000330Z Downloading psutil-5.9.8-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (288 kB) 2025-12-04T09:01:10.9720154Z Collecting dataclasses_json==0.6.7 2025-12-04T09:01:10.9753865Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-12-04T09:01:11.0037562Z Collecting nvidia-ml-py==11.525.84 2025-12-04T09:01:11.0069370Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-12-04T09:01:11.0410713Z Collecting typing-inspect<1,>=0.4.0 2025-12-04T09:01:11.0444372Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-12-04T09:01:11.1502411Z Collecting marshmallow<4.0.0,>=3.18.0 2025-12-04T09:01:11.1537170Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-12-04T09:01:11.2098396Z Collecting packaging>=17.0 2025-12-04T09:01:11.2135852Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-12-04T09:01:11.2655307Z Collecting typing-extensions>=3.7.4 2025-12-04T09:01:11.2687967Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-12-04T09:01:11.2889395Z Collecting mypy-extensions>=0.3.0 2025-12-04T09:01:11.2922551Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-12-04T09:01:11.3840535Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json 2025-12-04T09:01:11.6649913Z Successfully installed dataclasses-json-0.6.7 marshmallow-3.26.1 mypy-extensions-1.1.0 nvidia-ml-py-11.525.84 packaging-25.0 psutil-5.9.8 typing-extensions-4.15.0 typing-inspect-0.9.0 2025-12-04T09:01:11.8554766Z Prepare all required actions 2025-12-04T09:01:11.8555168Z Getting action download info 2025-12-04T09:01:12.0239213Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-12-04T09:01:12.2521896Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-12-04T09:01:12.6030026Z ##[group]Run ./.github/actions/download-build-artifacts 2025-12-04T09:01:12.6030418Z with: 2025-12-04T09:01:12.6030665Z name: linux-jammy-py3.10-clang18-asan 2025-12-04T09:01:12.6031004Z s3-bucket: gha-artifacts 2025-12-04T09:01:12.6031265Z env: 2025-12-04T09:01:12.6031484Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:01:12.6031742Z HAS_NVIDIA_GPU: false 2025-12-04T09:01:12.6031991Z ##[endgroup] 2025-12-04T09:01:12.6061210Z ##[group]Run seemethere/download-artifact-s3@v4 2025-12-04T09:01:12.6061561Z with: 2025-12-04T09:01:12.6061789Z name: linux-jammy-py3.10-clang18-asan 2025-12-04T09:01:12.6062167Z s3-bucket: gha-artifacts 2025-12-04T09:01:12.6062444Z region: us-east-1 2025-12-04T09:01:12.6062671Z env: 2025-12-04T09:01:12.6062873Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:01:12.6063159Z HAS_NVIDIA_GPU: false 2025-12-04T09:01:12.6063408Z ##[endgroup] 2025-12-04T09:01:13.0964807Z (node:44173) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-12-04T09:01:13.0965334Z 2025-12-04T09:01:13.0965532Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-12-04T09:01:13.0966086Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-12-04T09:01:13.0966684Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-12-04T09:01:13.3851463Z Found 1 objects with prefix pytorch/pytorch/19922814090/linux-jammy-py3.10-clang18-asan/ 2025-12-04T09:01:13.3852239Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-12-04T09:01:57.2628082Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-12-04T09:01:57.2634079Z Artifact download has finished successfully 2025-12-04T09:01:57.2802537Z ##[group]Run unzip -o artifacts.zip 2025-12-04T09:01:57.2802894Z unzip -o artifacts.zip 2025-12-04T09:01:57.2809820Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:01:57.2810193Z env: 2025-12-04T09:01:57.2810412Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:01:57.2810685Z HAS_NVIDIA_GPU: false 2025-12-04T09:01:57.2810921Z ##[endgroup] 2025-12-04T09:01:57.2873987Z Archive: artifacts.zip 2025-12-04T09:01:57.2874919Z creating: dist/ 2025-12-04T09:01:57.2996447Z inflating: dist/.ninja_log 2025-12-04T09:02:05.0382790Z inflating: dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl 2025-12-04T09:02:05.0384817Z creating: build/ 2025-12-04T09:02:05.0385131Z creating: build/custom_test_artifacts/ 2025-12-04T09:02:05.0385552Z creating: 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2025-12-04T09:02:41.7060598Z ##[group]Run rm artifacts.zip 2025-12-04T09:02:41.7060946Z rm artifacts.zip 2025-12-04T09:02:41.7068270Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:02:41.7068659Z env: 2025-12-04T09:02:41.7068882Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:02:41.7069147Z HAS_NVIDIA_GPU: false 2025-12-04T09:02:41.7069401Z ##[endgroup] 2025-12-04T09:02:41.8699625Z ##[group]Run df -H 2025-12-04T09:02:41.8699887Z df -H 2025-12-04T09:02:41.8706065Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:02:41.8706458Z env: 2025-12-04T09:02:41.8706665Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:02:41.8706960Z HAS_NVIDIA_GPU: false 2025-12-04T09:02:41.8707213Z ##[endgroup] 2025-12-04T09:02:41.8747823Z Filesystem Size Used Avail Use% Mounted on 2025-12-04T09:02:41.8748284Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-12-04T09:02:41.8748629Z tmpfs 17G 0 17G 0% /dev/shm 2025-12-04T09:02:41.8748974Z tmpfs 6.6G 521k 6.6G 1% /run 2025-12-04T09:02:41.8749315Z /dev/nvme0n1p1 161G 34G 128G 22% / 2025-12-04T09:02:41.8749627Z tmpfs 17G 13k 17G 1% /tmp 2025-12-04T09:02:41.8749975Z /dev/nvme0n1p128 11M 1.4M 9.2M 13% /boot/efi 2025-12-04T09:02:41.8784951Z Prepare all required actions 2025-12-04T09:02:41.8785549Z Getting action download info 2025-12-04T09:02:42.1000345Z ##[group]Run ./.github/actions/download-td-artifacts 2025-12-04T09:02:42.1000709Z with: 2025-12-04T09:02:42.1000948Z env: 2025-12-04T09:02:42.1001154Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:02:42.1001431Z HAS_NVIDIA_GPU: false 2025-12-04T09:02:42.1001845Z ##[endgroup] 2025-12-04T09:02:42.1120652Z ##[group]Run seemethere/download-artifact-s3@v4 2025-12-04T09:02:42.1121009Z with: 2025-12-04T09:02:42.1121210Z name: td_results 2025-12-04T09:02:42.1121452Z s3-bucket: gha-artifacts 2025-12-04T09:02:42.1121739Z region: us-east-1 2025-12-04T09:02:42.1121968Z env: 2025-12-04T09:02:42.1122170Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:02:42.1122442Z HAS_NVIDIA_GPU: false 2025-12-04T09:02:42.1122696Z ##[endgroup] 2025-12-04T09:02:42.8729157Z (node:44277) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-12-04T09:02:42.8729825Z 2025-12-04T09:02:42.8730017Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-12-04T09:02:42.8730566Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-12-04T09:02:42.8731130Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-12-04T09:02:42.9683787Z Found 1 objects with prefix pytorch/pytorch/19922814090/td_results/ 2025-12-04T09:02:42.9684576Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json 2025-12-04T09:02:43.0317325Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json 2025-12-04T09:02:43.0322583Z Artifact download has finished successfully 2025-12-04T09:02:43.0472355Z ##[group]Run mkdir -p .additional_ci_files 2025-12-04T09:02:43.0472762Z mkdir -p .additional_ci_files 2025-12-04T09:02:43.0473207Z mv td_results.json .additional_ci_files/td_results.json || true 2025-12-04T09:02:43.0479652Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:02:43.0480032Z env: 2025-12-04T09:02:43.0480257Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:02:43.0480539Z HAS_NVIDIA_GPU: false 2025-12-04T09:02:43.0480788Z ##[endgroup] 2025-12-04T09:02:43.0594410Z ##[group]Run .github/scripts/parse_ref.py 2025-12-04T09:02:43.0594804Z .github/scripts/parse_ref.py 2025-12-04T09:02:43.0600551Z shell: /usr/bin/bash -e {0} 2025-12-04T09:02:43.0600845Z env: 2025-12-04T09:02:43.0601062Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:02:43.0601345Z HAS_NVIDIA_GPU: false 2025-12-04T09:02:43.0601599Z ##[endgroup] 2025-12-04T09:02:43.1025250Z Setting output branch=main 2025-12-04T09:02:43.1153543Z Prepare all required actions 2025-12-04T09:02:43.1153949Z Getting action download info 2025-12-04T09:02:43.2737305Z ##[group]Run ./.github/actions/filter-test-configs 2025-12-04T09:02:43.2737665Z with: 2025-12-04T09:02:43.2738080Z github-token: *** 2025-12-04T09:02:43.2741543Z test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 7, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 2, "num_shards": 7, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 3, "num_shards": 7, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 4, "num_shards": 7, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 5, "num_shards": 7, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 6, "num_shards": 7, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 7, "num_shards": 7, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "openreg", "shard": 1, "num_shards": 1, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}]} 2025-12-04T09:02:43.2745608Z job-name: linux-jammy-py3.10-clang18-asan / test (default, 1, 7, linux.4xlarge, rerun_disabled_tests) 2025-12-04T09:02:43.2746162Z env: 2025-12-04T09:02:43.2746382Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:02:43.2746699Z HAS_NVIDIA_GPU: false 2025-12-04T09:02:43.2746939Z ##[endgroup] 2025-12-04T09:02:43.2856596Z ##[group]Run nick-fields/retry@v3.0.0 2025-12-04T09:02:43.2856898Z with: 2025-12-04T09:02:43.2857260Z shell: bash 2025-12-04T09:02:43.2857488Z timeout_minutes: 10 2025-12-04T09:02:43.2857740Z max_attempts: 5 2025-12-04T09:02:43.2858025Z retry_wait_seconds: 30 2025-12-04T09:02:43.2858872Z command: set -eux # PyYAML 6.0 doesn't work with MacOS x86 anymore # This must run on Python-3.7 (AmazonLinux2) so can't use request=3.32.2 python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-12-04T09:02:43.2859729Z polling_interval_seconds: 1 2025-12-04T09:02:43.2860022Z warning_on_retry: true 2025-12-04T09:02:43.2860292Z continue_on_error: false 2025-12-04T09:02:43.2860540Z env: 2025-12-04T09:02:43.2860755Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:02:43.2861029Z HAS_NVIDIA_GPU: false 2025-12-04T09:02:43.2861463Z GITHUB_TOKEN: *** 2025-12-04T09:02:43.2861702Z ##[endgroup] 2025-12-04T09:02:43.4542097Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-12-04T09:02:43.6912966Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T09:02:43.8422414Z Collecting requests==2.27.1 2025-12-04T09:02:43.8605084Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-12-04T09:02:44.0951489Z Collecting pyyaml==6.0.2 2025-12-04T09:02:44.0985781Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB) 2025-12-04T09:02:44.1478440Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-12-04T09:02:44.2167601Z Collecting certifi>=2017.4.17 2025-12-04T09:02:44.2205458Z Downloading certifi-2025.11.12-py3-none-any.whl (159 kB) 2025-12-04T09:02:44.6406602Z Collecting charset-normalizer~=2.0.0 2025-12-04T09:02:44.6442339Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-12-04T09:02:44.6685242Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-12-04T09:02:44.7510080Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-12-04T09:02:45.0240186Z Successfully installed certifi-2025.11.12 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-12-04T09:02:45.3621658Z Command completed after 1 attempt(s). 2025-12-04T09:02:45.3672562Z ##[group]Run set -x 2025-12-04T09:02:45.3672989Z set -x 2025-12-04T09:02:45.3673223Z  2025-12-04T09:02:45.3673609Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-12-04T09:02:45.3674089Z # in runner workspace 2025-12-04T09:02:45.3674481Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-12-04T09:02:45.3680601Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:02:45.3680988Z env: 2025-12-04T09:02:45.3681196Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:02:45.3681465Z HAS_NVIDIA_GPU: false 2025-12-04T09:02:45.3681711Z ##[endgroup] 2025-12-04T09:02:45.3705803Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-12-04T09:02:45.3889104Z Setting output branch=main 2025-12-04T09:02:45.3957508Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-12-04T09:02:45.3957959Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-12-04T09:02:45.3958318Z echo "Job name: ${JOB_NAME}" 2025-12-04T09:02:45.3958618Z  2025-12-04T09:02:45.3959004Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-12-04T09:02:45.3959485Z # in runner workspace 2025-12-04T09:02:45.3959920Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-12-04T09:02:45.3960413Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-12-04T09:02:45.3960756Z  --job-name "${JOB_NAME}" \ 2025-12-04T09:02:45.3964279Z  --test-matrix "{"include": [{"config": "default", "shard": 1, "num_shards": 7, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 2, "num_shards": 7, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 3, "num_shards": 7, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 4, "num_shards": 7, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 5, "num_shards": 7, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 6, "num_shards": 7, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 7, "num_shards": 7, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "openreg", "shard": 1, "num_shards": 1, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}]}" \ 2025-12-04T09:02:45.3968322Z  --selected-test-configs "" \ 2025-12-04T09:02:45.3968647Z  --pr-number "${PR_NUMBER}" \ 2025-12-04T09:02:45.3968963Z  --tag "${TAG}" \ 2025-12-04T09:02:45.3969260Z  --event-name "${EVENT_NAME}" \ 2025-12-04T09:02:45.3969590Z  --schedule "${SCHEDULE}" \ 2025-12-04T09:02:45.3970255Z  --branch "${HEAD_BRANCH}" 2025-12-04T09:02:45.3976267Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:02:45.3976652Z env: 2025-12-04T09:02:45.3976865Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:02:45.3977140Z HAS_NVIDIA_GPU: false 2025-12-04T09:02:45.3977704Z GITHUB_TOKEN: *** 2025-12-04T09:02:45.3978198Z JOB_NAME: linux-jammy-py3.10-clang18-asan / test (default, 1, 7, linux.4xlarge, rerun_disabled_tests) 2025-12-04T09:02:45.3978741Z PR_NUMBER: 2025-12-04T09:02:45.3978963Z TAG: 2025-12-04T09:02:45.3979173Z EVENT_NAME: schedule 2025-12-04T09:02:45.3979438Z SCHEDULE: 29 8 * * * 2025-12-04T09:02:45.3979683Z HEAD_BRANCH: main 2025-12-04T09:02:45.3979920Z ##[endgroup] 2025-12-04T09:02:45.4004451Z Workflow: pull 2025-12-04T09:02:45.4004947Z Job name: linux-jammy-py3.10-clang18-asan / test (default, 1, 7, linux.4xlarge, rerun_disabled_tests) 2025-12-04T09:02:45.5839806Z Setting output keep-going=True 2025-12-04T09:02:45.5840200Z Setting output ci-verbose-test-logs=False 2025-12-04T09:02:45.5840565Z Setting output ci-test-showlocals=False 2025-12-04T09:02:45.5841167Z Setting output ci-no-test-timeout=False 2025-12-04T09:02:45.5841507Z Setting output ci-no-td=False 2025-12-04T09:02:45.5841822Z Setting output ci-td-distributed=False 2025-12-04T09:02:45.5842141Z Setting output is-unstable=False 2025-12-04T09:02:45.5842453Z Setting output reenabled-issues= 2025-12-04T09:02:45.5846038Z Setting output test-matrix={"include": [{"config": "default", "shard": 1, "num_shards": 7, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 2, "num_shards": 7, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 3, "num_shards": 7, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 4, "num_shards": 7, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 5, "num_shards": 7, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 6, "num_shards": 7, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 7, "num_shards": 7, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "openreg", "shard": 1, "num_shards": 1, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}]} 2025-12-04T09:02:45.5849879Z Setting output is-test-matrix-empty=False 2025-12-04T09:02:45.6055701Z ##[group]Run echo "Filtered matrix:" 2025-12-04T09:02:45.6056094Z echo "Filtered matrix:" 2025-12-04T09:02:45.6059593Z echo "{"include": [{"config": "default", "shard": 1, "num_shards": 7, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 2, "num_shards": 7, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 3, "num_shards": 7, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 4, "num_shards": 7, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 5, "num_shards": 7, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 6, "num_shards": 7, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 7, "num_shards": 7, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "openreg", "shard": 1, "num_shards": 1, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}]}" 2025-12-04T09:02:45.6063603Z  2025-12-04T09:02:45.6063815Z echo 2025-12-04T09:02:45.6064097Z echo "Is the current job unstable? False" 2025-12-04T09:02:45.6064450Z  2025-12-04T09:02:45.6064644Z echo 2025-12-04T09:02:45.6064906Z echo "Is keep-going label set? True" 2025-12-04T09:02:45.6065228Z  2025-12-04T09:02:45.6065425Z echo 2025-12-04T09:02:45.6065663Z echo "Reenabled issues? " 2025-12-04T09:02:45.6071928Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:02:45.6072317Z env: 2025-12-04T09:02:45.6072541Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:02:45.6072801Z HAS_NVIDIA_GPU: false 2025-12-04T09:02:45.6073057Z ##[endgroup] 2025-12-04T09:02:45.6097444Z Filtered matrix: 2025-12-04T09:02:45.6101885Z {include: [{config: default, shard: 1, num_shards: 7, runner: linux.4xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 2, num_shards: 7, runner: linux.4xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 3, num_shards: 7, runner: linux.4xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 4, num_shards: 7, runner: linux.4xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 5, num_shards: 7, runner: linux.4xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 6, num_shards: 7, runner: linux.4xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 7, num_shards: 7, runner: linux.4xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: openreg, shard: 1, num_shards: 1, runner: linux.4xlarge, rerun_disabled_tests: rerun_disabled_tests}]} 2025-12-04T09:02:45.6105307Z 2025-12-04T09:02:45.6105434Z Is the current job unstable? False 2025-12-04T09:02:45.6105641Z 2025-12-04T09:02:45.6105774Z Is keep-going label set? True 2025-12-04T09:02:45.6105961Z 2025-12-04T09:02:45.6106053Z Reenabled issues? 2025-12-04T09:02:45.6154949Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-12-04T09:02:45.6155491Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-12-04T09:02:45.6161262Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:02:45.6161636Z env: 2025-12-04T09:02:45.6161861Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:02:45.6162141Z HAS_NVIDIA_GPU: false 2025-12-04T09:02:45.6162402Z JOB_TIMEOUT: 240 2025-12-04T09:02:45.6162621Z ##[endgroup] 2025-12-04T09:02:45.6219201Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:02:45.6219747Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:02:45.6220224Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:02:45.6226024Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:02:45.6226411Z env: 2025-12-04T09:02:45.6226632Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:02:45.6226904Z HAS_NVIDIA_GPU: false 2025-12-04T09:02:45.6227145Z ##[endgroup] 2025-12-04T09:02:45.6353106Z ##[group]Run set -x 2025-12-04T09:02:45.6353451Z set -x 2025-12-04T09:02:45.6353684Z  2025-12-04T09:02:45.6354079Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-12-04T09:02:45.6354469Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-12-04T09:02:45.6354875Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-12-04T09:02:45.6355247Z  TEST_COMMAND=.ci/onnx/test.sh 2025-12-04T09:02:45.6355542Z else 2025-12-04T09:02:45.6355801Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-12-04T09:02:45.6356118Z fi 2025-12-04T09:02:45.6356316Z  2025-12-04T09:02:45.6356587Z # Leaving 1GB for the runner and other things 2025-12-04T09:02:45.6357184Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-12-04T09:02:45.6358083Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-12-04T09:02:45.6358810Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-12-04T09:02:45.6359361Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-12-04T09:02:45.6359794Z  2025-12-04T09:02:45.6360051Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-12-04T09:02:45.6360405Z  SHM_OPTS= 2025-12-04T09:02:45.6360660Z  JENKINS_USER= 2025-12-04T09:02:45.6361005Z  # ensure that docker container cleanly exits in 12 hours 2025-12-04T09:02:45.6361496Z  # if for some reason cleanup action doesn't stop container 2025-12-04T09:02:45.6361903Z  # when job is cancelled 2025-12-04T09:02:45.6362221Z  DOCKER_SHELL_CMD="sleep 12h" 2025-12-04T09:02:45.6362549Z  USED_IMAGE="${DOCKER_IMAGE_S390X}" 2025-12-04T09:02:45.6362867Z else 2025-12-04T09:02:45.6363120Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-12-04T09:02:45.6363453Z  JENKINS_USER="--user jenkins" 2025-12-04T09:02:45.6363772Z  DOCKER_SHELL_CMD= 2025-12-04T09:02:45.6364067Z  USED_IMAGE="${DOCKER_IMAGE}" 2025-12-04T09:02:45.6364364Z fi 2025-12-04T09:02:45.6364576Z  2025-12-04T09:02:45.6364921Z # detached container should get cleaned up by teardown_ec2_linux 2025-12-04T09:02:45.6365533Z # TODO: Stop building test binaries as part of the build phase 2025-12-04T09:02:45.6366149Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-12-04T09:02:45.6366749Z # shellcheck disable=SC2086,SC2090 2025-12-04T09:02:45.6367093Z container_name=$(docker run \ 2025-12-04T09:02:45.6367414Z  ${GPU_FLAG:-} \ 2025-12-04T09:02:45.6367713Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-12-04T09:02:45.6368072Z  -e BUILD_ENVIRONMENT \ 2025-12-04T09:02:45.6368383Z  -e PR_NUMBER \ 2025-12-04T09:02:45.6368668Z  -e GITHUB_ACTIONS \ 2025-12-04T09:02:45.6368957Z  -e GITHUB_REPOSITORY \ 2025-12-04T09:02:45.6369264Z  -e GITHUB_WORKFLOW \ 2025-12-04T09:02:45.6369567Z  -e GITHUB_JOB \ 2025-12-04T09:02:45.6370025Z  -e GITHUB_RUN_ID \ 2025-12-04T09:02:45.6370323Z  -e GITHUB_RUN_NUMBER \ 2025-12-04T09:02:45.6370636Z  -e GITHUB_RUN_ATTEMPT \ 2025-12-04T09:02:45.6370925Z  -e JOB_ID \ 2025-12-04T09:02:45.6371189Z  -e JOB_NAME \ 2025-12-04T09:02:45.6371456Z  -e BASE_SHA \ 2025-12-04T09:02:45.6371706Z  -e BRANCH \ 2025-12-04T09:02:45.6371959Z  -e SHA1 \ 2025-12-04T09:02:45.6372222Z  -e AWS_DEFAULT_REGION \ 2025-12-04T09:02:45.6372522Z  -e IN_WHEEL_TEST \ 2025-12-04T09:02:45.6372795Z  -e SHARD_NUMBER \ 2025-12-04T09:02:45.6373074Z  -e TEST_CONFIG \ 2025-12-04T09:02:45.6373360Z  -e NUM_TEST_SHARDS \ 2025-12-04T09:02:45.6373817Z  -e REENABLED_ISSUES \ 2025-12-04T09:02:45.6374132Z  -e CONTINUE_THROUGH_ERROR \ 2025-12-04T09:02:45.6374550Z  -e VERBOSE_TEST_LOGS \ 2025-12-04T09:02:45.6374837Z  -e TEST_SHOWLOCALS \ 2025-12-04T09:02:45.6375130Z  -e NO_TEST_TIMEOUT \ 2025-12-04T09:02:45.6375416Z  -e NO_TD \ 2025-12-04T09:02:45.6375674Z  -e TD_DISTRIBUTED \ 2025-12-04T09:02:45.6375950Z  -e PR_LABELS \ 2025-12-04T09:02:45.6376249Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-12-04T09:02:45.6376592Z  -e SCCACHE_BUCKET \ 2025-12-04T09:02:45.6376871Z  -e SCCACHE_REGION \ 2025-12-04T09:02:45.6377153Z  -e XLA_CUDA \ 2025-12-04T09:02:45.6377450Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-12-04T09:02:45.6377808Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-12-04T09:02:45.6378191Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-12-04T09:02:45.6378569Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-12-04T09:02:45.6378915Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-12-04T09:02:45.6379242Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-12-04T09:02:45.6379595Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-12-04T09:02:45.6379922Z  -e DASHBOARD_TAG \ 2025-12-04T09:02:45.6380206Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-12-04T09:02:45.6380576Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-12-04T09:02:45.6381007Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-12-04T09:02:45.6381423Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-12-04T09:02:45.6381827Z  --security-opt seccomp=unconfined \ 2025-12-04T09:02:45.6382179Z  --cap-add=SYS_PTRACE \ 2025-12-04T09:02:45.6382482Z  --ipc=host \ 2025-12-04T09:02:45.6382734Z  ${SHM_OPTS} \ 2025-12-04T09:02:45.6382993Z  --tty \ 2025-12-04T09:02:45.6383235Z  --detach \ 2025-12-04T09:02:45.6383564Z  --name="${container_name}" \ 2025-12-04T09:02:45.6383891Z  ${JENKINS_USER} \ 2025-12-04T09:02:45.6384251Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-12-04T09:02:45.6384657Z  -w /var/lib/jenkins/workspace \ 2025-12-04T09:02:45.6384983Z  "${USED_IMAGE}" \ 2025-12-04T09:02:45.6385265Z  ${DOCKER_SHELL_CMD} 2025-12-04T09:02:45.6385538Z ) 2025-12-04T09:02:45.6385862Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-12-04T09:02:45.6386283Z  2025-12-04T09:02:45.6386548Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-12-04T09:02:45.6387126Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-12-04T09:02:45.6387663Z fi 2025-12-04T09:02:45.6387876Z  2025-12-04T09:02:45.6388380Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-12-04T09:02:45.6394412Z shell: /usr/bin/bash -e {0} 2025-12-04T09:02:45.6394694Z env: 2025-12-04T09:02:45.6394925Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:02:45.6395186Z HAS_NVIDIA_GPU: false 2025-12-04T09:02:45.6395506Z BUILD_ENVIRONMENT: linux-jammy-py3.10-clang18-asan 2025-12-04T09:02:45.6395867Z PR_NUMBER: 2025-12-04T09:02:45.6396102Z GITHUB_REPOSITORY: pytorch/pytorch 2025-12-04T09:02:45.6396413Z GITHUB_WORKFLOW: pull 2025-12-04T09:02:45.6396663Z GITHUB_JOB: test 2025-12-04T09:02:45.6396891Z GITHUB_RUN_ID: 19922814090 2025-12-04T09:02:45.6397166Z GITHUB_RUN_NUMBER: 384169 2025-12-04T09:02:45.6397436Z GITHUB_RUN_ATTEMPT: 1 2025-12-04T09:02:45.6397673Z JOB_ID: 57116446492 2025-12-04T09:02:45.6398167Z JOB_NAME: linux-jammy-py3.10-clang18-asan / test (default, 1, 7, linux.4xlarge, rerun_disabled_tests) 2025-12-04T09:02:45.6398721Z BRANCH: main 2025-12-04T09:02:45.6398996Z SHA1: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:02:45.6399537Z BASE_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:02:45.6399896Z TEST_CONFIG: default 2025-12-04T09:02:45.6400144Z SHARD_NUMBER: 1 2025-12-04T09:02:45.6400445Z NUM_TEST_SHARDS: 7 2025-12-04T09:02:45.6400682Z EXTRA_FLAGS: 2025-12-04T09:02:45.6413403Z OP_BENCHMARK_TESTS: 2025-12-04T09:02:45.6413694Z REENABLED_ISSUES: 2025-12-04T09:02:45.6414001Z CONTINUE_THROUGH_ERROR: True 2025-12-04T09:02:45.6414295Z VERBOSE_TEST_LOGS: False 2025-12-04T09:02:45.6414558Z TEST_SHOWLOCALS: False 2025-12-04T09:02:45.6414824Z NO_TEST_TIMEOUT: False 2025-12-04T09:02:45.6415080Z NO_TD: False 2025-12-04T09:02:45.6415303Z TD_DISTRIBUTED: False 2025-12-04T09:02:45.6415623Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-12-04T09:02:45.6416000Z SCCACHE_REGION: us-east-1 2025-12-04T09:02:45.6416257Z SHM_SIZE: 1g 2025-12-04T09:02:45.6417073Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:02:45.6418460Z DOCKER_IMAGE_S390X: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:02:45.6419303Z XLA_CUDA: 2025-12-04T09:02:45.6419651Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-12-04T09:02:45.6420117Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-12-04T09:02:45.6420450Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 1 2025-12-04T09:02:45.6420746Z DASHBOARD_TAG: 2025-12-04T09:02:45.6421190Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-12-04T09:02:45.6421620Z HUGGING_FACE_HUB_TOKEN: *** 2025-12-04T09:02:45.6422035Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-12-04T09:02:45.6422445Z ARTIFACTS_FILE_SUFFIX: test-default-1-7-linux.4xlarge_57116446492 2025-12-04T09:02:45.6422855Z ##[endgroup] 2025-12-04T09:02:45.6447368Z + [[ default == \m\u\l\t\i\g\p\u ]] 2025-12-04T09:02:45.6447742Z + [[ linux-jammy-py3.10-clang18-asan == *onnx* ]] 2025-12-04T09:02:45.6448112Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-12-04T09:02:45.6450750Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-12-04T09:02:45.6470749Z + TOTAL_AVAILABLE_MEMORY_IN_GB='29.641 ' 2025-12-04T09:02:45.6471114Z + TOTAL_MEMORY_WITH_SWAP=32 2025-12-04T09:02:45.6471438Z + [[ linux-jammy-py3.10-clang18-asan == *\s\3\9\0\x* ]] 2025-12-04T09:02:45.6471839Z + SHM_OPTS=--shm-size=1g 2025-12-04T09:02:45.6472114Z + JENKINS_USER='--user jenkins' 2025-12-04T09:02:45.6472379Z + DOCKER_SHELL_CMD= 2025-12-04T09:02:45.6473131Z + USED_IMAGE=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:02:45.6479688Z +++ nproc --ignore=2 2025-12-04T09:02:45.6630624Z ++ 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-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:03:10.6145003Z + container_name=03e808ec286a0da396843f5363120c2d611760079419bb038973de7ecd61ea7e 2025-12-04T09:03:10.6147294Z + echo DOCKER_CONTAINER_ID=03e808ec286a0da396843f5363120c2d611760079419bb038973de7ecd61ea7e 2025-12-04T09:03:10.6148641Z + [[ linux-jammy-py3.10-clang18-asan == *\s\3\9\0\x* ]] 2025-12-04T09:03:10.6150110Z ++ echo dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl 2025-12-04T09:03:10.6152811Z + docker exec -t 03e808ec286a0da396843f5363120c2d611760079419bb038973de7ecd61ea7e sh -c 'python3 -m pip install dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-12-04T09:03:11.0362572Z Processing ./dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl (from torch==2.10.0a0+gitffd9b0f) 2025-12-04T09:03:13.8750404Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.18.0) 2025-12-04T09:03:13.8754239Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (4.12.2) 2025-12-04T09:03:13.8758676Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (1.13.3) 2025-12-04T09:03:13.8763229Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (2.8.8) 2025-12-04T09:03:13.8766797Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.1.6) 2025-12-04T09:03:13.8771718Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (2025.10.0) 2025-12-04T09:03:13.8785421Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.3.0) 2025-12-04T09:03:13.9158179Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from opt-einsum>=3.3->torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (1.22.4) 2025-12-04T09:03:13.9178359Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from sympy>=1.13.3->torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (1.3.0) 2025-12-04T09:03:13.9235654Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.0.3) 2025-12-04T09:03:14.3325928Z Installing collected packages: torch 2025-12-04T09:03:42.1017234Z Successfully installed torch-2.10.0a0+gitffd9b0f 2025-12-04T09:03:42.2189446Z + export TERM=vt100 2025-12-04T09:03:42.2191062Z + TERM=vt100 2025-12-04T09:03:42.2191857Z ++ dirname .ci/pytorch/test.sh 2025-12-04T09:03:42.2336650Z + source .ci/pytorch/common.sh 2025-12-04T09:03:42.2392332Z +++ dirname .ci/pytorch/common.sh 2025-12-04T09:03:42.2398533Z ++ source .ci/pytorch/common_utils.sh 2025-12-04T09:03:42.2453368Z +++ declare -f -t trap_add 2025-12-04T09:03:42.2458453Z ++ set -ex -o pipefail 2025-12-04T09:03:42.2458750Z ++ [[ linux-jammy-py3.10-clang18-asan == *rocm* ]] 2025-12-04T09:03:42.2459108Z ++ BUILD_TEST_LIBTORCH=0 2025-12-04T09:03:42.2516264Z ++ dirname .ci/pytorch/test.sh 2025-12-04T09:03:42.2581978Z + source .ci/pytorch/common-build.sh 2025-12-04T09:03:42.2664458Z ++ [[ linux-jammy-py3.10-clang18-asan != *win-* ]] 2025-12-04T09:03:42.2670478Z ++++ dirname .ci/pytorch/common-build.sh 2025-12-04T09:03:42.2677411Z +++ cd .ci/pytorch 2025-12-04T09:03:42.2677662Z +++ pwd -P 2025-12-04T09:03:42.2722131Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-12-04T09:03:42.2722659Z ++ [[ linux-jammy-py3.10-clang18-asan == *-pch* ]] 2025-12-04T09:03:42.2723219Z ++ which sccache 2025-12-04T09:03:42.2851316Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-12-04T09:03:42.2851745Z ++ sccache --stop-server 2025-12-04T09:03:42.3062918Z ++ true 2025-12-04T09:03:42.3063206Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-12-04T09:03:42.3154188Z ++ trap_add sccache_epilogue EXIT 2025-12-04T09:03:42.3154541Z ++ trap_add_cmd=sccache_epilogue 2025-12-04T09:03:42.3154813Z ++ shift 2025-12-04T09:03:42.3155039Z ++ for trap_add_name in "$@" 2025-12-04T09:03:42.3160183Z ++++ trap -p EXIT 2025-12-04T09:03:42.3162437Z +++ eval 'extract_trap_cmd ' 2025-12-04T09:03:42.3162781Z ++++ extract_trap_cmd 2025-12-04T09:03:42.3163033Z ++++ printf '%s\n' '' 2025-12-04T09:03:42.3163297Z +++ printf '%s\n' sccache_epilogue 2025-12-04T09:03:42.3165542Z ++ trap -- ' 2025-12-04T09:03:42.3165858Z sccache_epilogue' EXIT 2025-12-04T09:03:42.3166106Z ++ [[ -n 1 ]] 2025-12-04T09:03:42.3166525Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-12-04T09:03:42.3167161Z Skipping sccache server initialization, setting environment variables 2025-12-04T09:03:42.3167603Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:03:42.3167914Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:03:42.3168274Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:03:42.3168723Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:03:42.3173661Z ++ export RUST_LOG=sccache::server=error 2025-12-04T09:03:42.3174040Z ++ RUST_LOG=sccache::server=error 2025-12-04T09:03:42.3174348Z ++ sccache --zero-stats 2025-12-04T09:03:42.7746537Z Statistics zeroed. 2025-12-04T09:03:42.7748223Z ++ which ccache 2025-12-04T09:03:42.7771948Z + [[ linux-jammy-py3.10-clang18-asan != *rocm* ]] 2025-12-04T09:03:42.7772381Z + [[ linux-jammy-py3.10-clang18-asan != *s390x* ]] 2025-12-04T09:03:42.7772755Z + [[ -d /var/lib/jenkins/workspace ]] 2025-12-04T09:03:42.7775155Z ++ stat -c %u /var/lib/jenkins/workspace 2025-12-04T09:03:42.8262310Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-12-04T09:03:42.8262728Z + trap_add cleanup_workspace EXIT 2025-12-04T09:03:42.8263036Z + trap_add_cmd=cleanup_workspace 2025-12-04T09:03:42.8263323Z + shift 2025-12-04T09:03:42.8263627Z + for trap_add_name in "$@" 2025-12-04T09:03:42.8269448Z +++ trap -p EXIT 2025-12-04T09:03:42.8271739Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-12-04T09:03:42.8272132Z sccache_epilogue'\'' EXIT' 2025-12-04T09:03:42.8272423Z +++ extract_trap_cmd trap -- ' 2025-12-04T09:03:42.8272710Z sccache_epilogue' EXIT 2025-12-04T09:03:42.8272966Z +++ printf '%s\n' ' 2025-12-04T09:03:42.8273208Z sccache_epilogue' 2025-12-04T09:03:42.8273453Z ++ printf '%s\n' cleanup_workspace 2025-12-04T09:03:42.8274473Z + trap -- ' 2025-12-04T09:03:42.8274704Z sccache_epilogue 2025-12-04T09:03:42.8274937Z cleanup_workspace' EXIT 2025-12-04T09:03:42.8275250Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-12-04T09:03:43.8450244Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-12-04T09:03:43.9639846Z + [[ linux-jammy-py3.10-clang18-asan == *cuda* ]] 2025-12-04T09:03:43.9640248Z + echo 'Environment variables:' 2025-12-04T09:03:43.9640547Z Environment variables: 2025-12-04T09:03:43.9640816Z + env 2025-12-04T09:03:43.9764472Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T09:03:43.9764995Z CONTINUE_THROUGH_ERROR=True 2025-12-04T09:03:43.9765385Z BUILD_ENVIRONMENT=linux-jammy-py3.10-clang18-asan 2025-12-04T09:03:43.9765979Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-12-04T09:03:43.9766266Z HOSTNAME=03e808ec286a 2025-12-04T09:03:43.9766867Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_74b99e9c-28ce-4070-b929-ab6fa0325fdb 2025-12-04T09:03:43.9767517Z GITHUB_ACTION=__run_3 2025-12-04T09:03:43.9767776Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-12-04T09:03:43.9768088Z GITHUB_RUN_NUMBER=384169 2025-12-04T09:03:43.9768356Z TEST_CONFIG=default 2025-12-04T09:03:43.9768606Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-12-04T09:03:43.9769009Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-12-04T09:03:43.9769877Z SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:03:43.9770428Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-12-04T09:03:43.9770719Z GITHUB_TRIGGERING_ACTOR=huydhn 2025-12-04T09:03:43.9771125Z GITHUB_REF_TYPE=branch 2025-12-04T09:03:43.9771426Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:03:43.9771755Z XLA_CUDA= 2025-12-04T09:03:43.9771983Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-12-04T09:03:43.9772393Z HUGGING_FACE_HUB_TOKEN=*** 2025-12-04T09:03:43.9772863Z *** 2025-12-04T09:03:43.9773070Z GITHUB_REPOSITORY_ID=65600975 2025-12-04T09:03:43.9773362Z GITHUB_ACTIONS=true 2025-12-04T09:03:43.9773667Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:03:43.9774058Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:03:43.9774453Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:03:43.9774976Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/pull.yml@refs/heads/main 2025-12-04T09:03:43.9775458Z UCC_HOME=/usr 2025-12-04T09:03:43.9775687Z VERBOSE_TEST_LOGS=False 2025-12-04T09:03:43.9775952Z GITHUB_REF=refs/heads/main 2025-12-04T09:03:43.9776263Z SHARD_NUMBER=1 2025-12-04T09:03:43.9776490Z GITHUB_REF_PROTECTED=true 2025-12-04T09:03:43.9776754Z HOME=/var/lib/jenkins 2025-12-04T09:03:43.9777095Z GITHUB_API_URL=https://api.github.com 2025-12-04T09:03:43.9777435Z PYTORCH_TEST_RERUN_DISABLED_TESTS=1 2025-12-04T09:03:43.9777719Z UCX_COMMIT= 2025-12-04T09:03:43.9777935Z USE_SYSTEM_NCCL=1 2025-12-04T09:03:43.9778168Z NUM_TEST_SHARDS=7 2025-12-04T09:03:43.9778383Z UCX_HOME=/usr 2025-12-04T09:03:43.9778966Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_74b99e9c-28ce-4070-b929-ab6fa0325fdb 2025-12-04T09:03:43.9779864Z JOB_NAME=linux-jammy-py3.10-clang18-asan / test (default, 1, 7, linux.4xlarge, rerun_disabled_tests) 2025-12-04T09:03:43.9780725Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_74b99e9c-28ce-4070-b929-ab6fa0325fdb 2025-12-04T09:03:43.9781558Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-12-04T09:03:43.9782070Z GITHUB_EVENT_NAME=schedule 2025-12-04T09:03:43.9782340Z DASHBOARD_TAG= 2025-12-04T09:03:43.9782559Z GITHUB_RUN_ID=19922814090 2025-12-04T09:03:43.9782820Z INSTALLED_OPENBLAS= 2025-12-04T09:03:43.9783524Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_74b99e9c-28ce-4070-b929-ab6fa0325fdb 2025-12-04T09:03:43.9784208Z GITHUB_ACTOR=huydhn 2025-12-04T09:03:43.9784444Z PR_NUMBER= 2025-12-04T09:03:43.9784657Z DESIRED_CUDA= 2025-12-04T09:03:43.9784869Z GITHUB_RUN_ATTEMPT=1 2025-12-04T09:03:43.9785134Z ANACONDA_PYTHON_VERSION=3.10 2025-12-04T09:03:43.9785473Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-12-04T09:03:43.9785813Z TERM=vt100 2025-12-04T09:03:43.9786033Z INSTALLED_VISION=yes 2025-12-04T09:03:43.9786279Z BRANCH=main 2025-12-04T09:03:43.9786494Z SCCACHE_REGION=us-east-1 2025-12-04T09:03:43.9786773Z OPENSSL_ROOT_DIR=/opt/openssl 2025-12-04T09:03:43.9787069Z BUILD_AOT_INDUCTOR_TEST= 2025-12-04T09:03:43.9787337Z CUDA_PATH=/usr/local/cuda 2025-12-04T09:03:43.9787854Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-12-04T09:03:43.9788443Z GITHUB_SERVER_URL=https://github.com 2025-12-04T09:03:43.9788745Z UCC_COMMIT= 2025-12-04T09:03:43.9788946Z REENABLED_ISSUES= 2025-12-04T09:03:43.9789172Z DOCS= 2025-12-04T09:03:43.9789367Z SHLVL=1 2025-12-04T09:03:43.9789554Z MAX_JOBS=14 2025-12-04T09:03:43.9789769Z GITHUB_ACTOR_ID=475357 2025-12-04T09:03:43.9790114Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:03:43.9790497Z GITHUB_REF_NAME=main 2025-12-04T09:03:43.9790885Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-12-04T09:03:43.9791329Z GITHUB_JOB=test 2025-12-04T09:03:43.9791555Z NO_TEST_TIMEOUT=False 2025-12-04T09:03:43.9791810Z TD_DISTRIBUTED=False 2025-12-04T09:03:43.9792081Z GITHUB_REPOSITORY=pytorch/pytorch 2025-12-04T09:03:43.9792530Z GITHUB_RETENTION_DAYS=90 2025-12-04T09:03:43.9792981Z OPENSSL_DIR=/opt/openssl 2025-12-04T09:03:43.9793261Z GITHUB_ACTION_REPOSITORY= 2025-12-04T09:03:43.9794080Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-12-04T09:03:43.9794963Z GITHUB_BASE_REF= 2025-12-04T09:03:43.9795200Z INSTALLED_ACL= 2025-12-04T09:03:43.9795552Z ARTIFACTS_FILE_SUFFIX=test-default-1-7-linux.4xlarge_57116446492 2025-12-04T09:03:43.9795949Z CI=true 2025-12-04T09:03:43.9796178Z GITHUB_REPOSITORY_OWNER=pytorch 2025-12-04T09:03:43.9796510Z RUST_LOG=sccache::server=error 2025-12-04T09:03:43.9796773Z JOB_ID=57116446492 2025-12-04T09:03:43.9797002Z GITHUB_HEAD_REF= 2025-12-04T09:03:43.9797242Z GITHUB_ACTION_REF= 2025-12-04T09:03:43.9797523Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-12-04T09:03:43.9797882Z TEST_SHOWLOCALS=False 2025-12-04T09:03:43.9798134Z GITHUB_WORKFLOW=pull 2025-12-04T09:03:43.9798401Z DEBIAN_FRONTEND=noninteractive 2025-12-04T09:03:43.9799029Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_74b99e9c-28ce-4070-b929-ab6fa0325fdb 2025-12-04T09:03:43.9799688Z NO_TD=False 2025-12-04T09:03:43.9799922Z SKIP_SCCACHE_INITIALIZATION=1 2025-12-04T09:03:43.9800223Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-12-04T09:03:43.9800539Z _=/usr/bin/env 2025-12-04T09:03:43.9800857Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-12-04T09:03:44.0414688Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch 2025-12-04T09:03:44.0415458Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-12-04T09:03:44.0416065Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib 2025-12-04T09:03:44.0416694Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test 2025-12-04T09:03:44.0417145Z + BUILD_DIR=build 2025-12-04T09:03:44.0417399Z + BUILD_RENAMED_DIR=build_renamed 2025-12-04T09:03:44.0417731Z + BUILD_BIN_DIR=build/bin 2025-12-04T09:03:44.0417978Z + SHARD_NUMBER=1 2025-12-04T09:03:44.0418216Z + NUM_TEST_SHARDS=7 2025-12-04T09:03:44.0418489Z + export TORCH_SERIALIZATION_DEBUG=1 2025-12-04T09:03:44.0418794Z + TORCH_SERIALIZATION_DEBUG=1 2025-12-04T09:03:44.0419075Z + export VALGRIND=ON 2025-12-04T09:03:44.0419317Z + VALGRIND=ON 2025-12-04T09:03:44.0419645Z + [[ linux-jammy-py3.10-clang18-asan == *clang9* ]] 2025-12-04T09:03:44.0420071Z + [[ linux-jammy-py3.10-clang18-asan == *xpu* ]] 2025-12-04T09:03:44.0420405Z + detect_cuda_arch 2025-12-04T09:03:44.0420683Z + [[ linux-jammy-py3.10-clang18-asan == *cuda* ]] 2025-12-04T09:03:44.0421057Z + [[ linux-jammy-py3.10-clang18-asan == *s390x* ]] 2025-12-04T09:03:44.0421394Z + [[ 1 == \1 ]] 2025-12-04T09:03:44.0421618Z + ulimit -c 0 2025-12-04T09:03:44.0421878Z + [[ linux-jammy-py3.10-clang18-asan != *bazel* ]] 2025-12-04T09:03:44.0422244Z ++ realpath build/custom_test_artifacts 2025-12-04T09:03:44.0637506Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-12-04T09:03:44.0638064Z + [[ -n '' ]] 2025-12-04T09:03:44.0638326Z + echo 'Environment variables' 2025-12-04T09:03:44.0638678Z Environment variables 2025-12-04T09:03:44.0638921Z + env 2025-12-04T09:03:44.0830159Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T09:03:44.0830928Z CONTINUE_THROUGH_ERROR=True 2025-12-04T09:03:44.0831427Z BUILD_ENVIRONMENT=linux-jammy-py3.10-clang18-asan 2025-12-04T09:03:44.0832279Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-12-04T09:03:44.0832727Z HOSTNAME=03e808ec286a 2025-12-04T09:03:44.0833314Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_74b99e9c-28ce-4070-b929-ab6fa0325fdb 2025-12-04T09:03:44.0833962Z GITHUB_ACTION=__run_3 2025-12-04T09:03:44.0834235Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-12-04T09:03:44.0834531Z GITHUB_RUN_NUMBER=384169 2025-12-04T09:03:44.0834792Z TEST_CONFIG=default 2025-12-04T09:03:44.0835048Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-12-04T09:03:44.0835646Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-12-04T09:03:44.0835970Z SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:03:44.0836496Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-12-04T09:03:44.0836795Z GITHUB_TRIGGERING_ACTOR=huydhn 2025-12-04T09:03:44.0837067Z GITHUB_REF_TYPE=branch 2025-12-04T09:03:44.0837366Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:03:44.0837707Z XLA_CUDA= 2025-12-04T09:03:44.0837921Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-12-04T09:03:44.0838435Z HUGGING_FACE_HUB_TOKEN=*** 2025-12-04T09:03:44.0838752Z *** 2025-12-04T09:03:44.0838971Z GITHUB_REPOSITORY_ID=65600975 2025-12-04T09:03:44.0839239Z GITHUB_ACTIONS=true 2025-12-04T09:03:44.0839540Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:03:44.0839946Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:03:44.0840320Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:03:44.0840842Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/pull.yml@refs/heads/main 2025-12-04T09:03:44.0841324Z UCC_HOME=/usr 2025-12-04T09:03:44.0841547Z TORCH_SERIALIZATION_DEBUG=1 2025-12-04T09:03:44.0841822Z VERBOSE_TEST_LOGS=False 2025-12-04T09:03:44.0842085Z GITHUB_REF=refs/heads/main 2025-12-04T09:03:44.0842333Z SHARD_NUMBER=1 2025-12-04T09:03:44.0842565Z GITHUB_REF_PROTECTED=true 2025-12-04T09:03:44.0842828Z HOME=/var/lib/jenkins 2025-12-04T09:03:44.0843095Z GITHUB_API_URL=https://api.github.com 2025-12-04T09:03:44.0843431Z PYTORCH_TEST_RERUN_DISABLED_TESTS=1 2025-12-04T09:03:44.0843738Z UCX_COMMIT= 2025-12-04T09:03:44.0843953Z USE_SYSTEM_NCCL=1 2025-12-04T09:03:44.0844175Z NUM_TEST_SHARDS=7 2025-12-04T09:03:44.0844404Z UCX_HOME=/usr 2025-12-04T09:03:44.0844990Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_74b99e9c-28ce-4070-b929-ab6fa0325fdb 2025-12-04T09:03:44.0845918Z JOB_NAME=linux-jammy-py3.10-clang18-asan / test (default, 1, 7, linux.4xlarge, rerun_disabled_tests) 2025-12-04T09:03:44.0846798Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_74b99e9c-28ce-4070-b929-ab6fa0325fdb 2025-12-04T09:03:44.0847632Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-12-04T09:03:44.0848166Z GITHUB_EVENT_NAME=schedule 2025-12-04T09:03:44.0848423Z DASHBOARD_TAG= 2025-12-04T09:03:44.0848660Z GITHUB_RUN_ID=19922814090 2025-12-04T09:03:44.0848929Z INSTALLED_OPENBLAS= 2025-12-04T09:03:44.0849548Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_74b99e9c-28ce-4070-b929-ab6fa0325fdb 2025-12-04T09:03:44.0850245Z GITHUB_ACTOR=huydhn 2025-12-04T09:03:44.0850481Z PR_NUMBER= 2025-12-04T09:03:44.0850679Z DESIRED_CUDA= 2025-12-04T09:03:44.0850906Z GITHUB_RUN_ATTEMPT=1 2025-12-04T09:03:44.0851152Z VALGRIND=ON 2025-12-04T09:03:44.0851368Z ANACONDA_PYTHON_VERSION=3.10 2025-12-04T09:03:44.0851710Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-12-04T09:03:44.0852064Z TERM=vt100 2025-12-04T09:03:44.0852266Z INSTALLED_VISION=yes 2025-12-04T09:03:44.0852522Z BRANCH=main 2025-12-04T09:03:44.0852866Z SCCACHE_REGION=us-east-1 2025-12-04T09:03:44.0853149Z OPENSSL_ROOT_DIR=/opt/openssl 2025-12-04T09:03:44.0853439Z BUILD_AOT_INDUCTOR_TEST= 2025-12-04T09:03:44.0853703Z CUDA_PATH=/usr/local/cuda 2025-12-04T09:03:44.0854228Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-12-04T09:03:44.0854806Z GITHUB_SERVER_URL=https://github.com 2025-12-04T09:03:44.0855107Z UCC_COMMIT= 2025-12-04T09:03:44.0855317Z REENABLED_ISSUES= 2025-12-04T09:03:44.0855532Z DOCS= 2025-12-04T09:03:44.0855733Z SHLVL=1 2025-12-04T09:03:44.0855935Z MAX_JOBS=14 2025-12-04T09:03:44.0856140Z GITHUB_ACTOR_ID=475357 2025-12-04T09:03:44.0856523Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:03:44.0856920Z GITHUB_REF_NAME=main 2025-12-04T09:03:44.0857290Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-12-04T09:03:44.0857724Z GITHUB_JOB=test 2025-12-04T09:03:44.0857958Z NO_TEST_TIMEOUT=False 2025-12-04T09:03:44.0858346Z TD_DISTRIBUTED=False 2025-12-04T09:03:44.0858617Z GITHUB_REPOSITORY=pytorch/pytorch 2025-12-04T09:03:44.0858995Z GITHUB_RETENTION_DAYS=90 2025-12-04T09:03:44.0859249Z OPENSSL_DIR=/opt/openssl 2025-12-04T09:03:44.0859515Z GITHUB_ACTION_REPOSITORY= 2025-12-04T09:03:44.0860319Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-12-04T09:03:44.0861153Z GITHUB_BASE_REF= 2025-12-04T09:03:44.0861372Z INSTALLED_ACL= 2025-12-04T09:03:44.0861734Z ARTIFACTS_FILE_SUFFIX=test-default-1-7-linux.4xlarge_57116446492 2025-12-04T09:03:44.0862139Z CI=true 2025-12-04T09:03:44.0862349Z GITHUB_REPOSITORY_OWNER=pytorch 2025-12-04T09:03:44.0862681Z RUST_LOG=sccache::server=error 2025-12-04T09:03:44.0862956Z JOB_ID=57116446492 2025-12-04T09:03:44.0863173Z GITHUB_HEAD_REF= 2025-12-04T09:03:44.0863484Z GITHUB_ACTION_REF= 2025-12-04T09:03:44.0863788Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-12-04T09:03:44.0864150Z TEST_SHOWLOCALS=False 2025-12-04T09:03:44.0864392Z GITHUB_WORKFLOW=pull 2025-12-04T09:03:44.0864659Z DEBIAN_FRONTEND=noninteractive 2025-12-04T09:03:44.0865306Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_74b99e9c-28ce-4070-b929-ab6fa0325fdb 2025-12-04T09:03:44.0865949Z NO_TD=False 2025-12-04T09:03:44.0866180Z SKIP_SCCACHE_INITIALIZATION=1 2025-12-04T09:03:44.0866486Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-12-04T09:03:44.0866785Z _=/usr/bin/env 2025-12-04T09:03:44.0867015Z + echo 'Testing pytorch' 2025-12-04T09:03:44.0867271Z Testing pytorch 2025-12-04T09:03:44.0867501Z + export LANG=C.UTF-8 2025-12-04T09:03:44.0867742Z + LANG=C.UTF-8 2025-12-04T09:03:44.1349400Z + PR_NUMBER= 2025-12-04T09:03:44.1349696Z + [[ default == \d\e\f\a\u\l\t ]] 2025-12-04T09:03:44.1350170Z + export CUDA_VISIBLE_DEVICES=0 2025-12-04T09:03:44.1350508Z + CUDA_VISIBLE_DEVICES=0 2025-12-04T09:03:44.1350888Z + export HIP_VISIBLE_DEVICES=0 2025-12-04T09:03:44.1351173Z + HIP_VISIBLE_DEVICES=0 2025-12-04T09:03:44.1351439Z + [[ default == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-12-04T09:03:44.1351804Z + [[ default == \s\l\o\w ]] 2025-12-04T09:03:44.1352143Z + [[ linux-jammy-py3.10-clang18-asan == *slow-gradcheck* ]] 2025-12-04T09:03:44.1352609Z + [[ linux-jammy-py3.10-clang18-asan == *cuda* ]] 2025-12-04T09:03:44.1352994Z + [[ linux-jammy-py3.10-clang18-asan == *rocm* ]] 2025-12-04T09:03:44.1353357Z + [[ linux-jammy-py3.10-clang18-asan == *xpu* ]] 2025-12-04T09:03:44.1353767Z + [[ default == *crossref* ]] 2025-12-04T09:03:44.1354240Z + [[ linux-jammy-py3.10-clang18-asan == *rocm* ]] 2025-12-04T09:03:44.1354725Z + [[ linux-jammy-py3.10-clang18-asan == *xpu* ]] 2025-12-04T09:03:44.1355101Z + [[ linux-jammy-py3.10-clang18-asan != *-bazel-* ]] 2025-12-04T09:03:44.1355468Z + pip_install ninja==1.10.2 2025-12-04T09:03:44.1355842Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-12-04T09:03:44.1356316Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-12-04T09:03:45.0152202Z Collecting ninja==1.10.2 2025-12-04T09:03:45.0386717Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-12-04T09:03:45.0682940Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-12-04T09:03:45.4712373Z Installing collected packages: ninja 2025-12-04T09:03:45.4712759Z Attempting uninstall: ninja 2025-12-04T09:03:45.4720226Z Found existing installation: ninja 1.11.1.4 2025-12-04T09:03:45.4740943Z Uninstalling ninja-1.11.1.4: 2025-12-04T09:03:45.4817106Z Successfully uninstalled ninja-1.11.1.4 2025-12-04T09:03:45.5378397Z Successfully installed ninja-1.10.2 2025-12-04T09:03:45.6065732Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-12-04T09:03:45.6067721Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-12-04T09:03:45.6068909Z + [[ linux-jammy-py3.10-clang18-asan == *aarch64* ]] 2025-12-04T09:03:45.6069318Z + [[ linux-jammy-py3.10-clang18-asan == *asan* ]] 2025-12-04T09:03:45.6070422Z + export ASAN_OPTIONS=detect_leaks=0:symbolize=1:detect_stack_use_after_return=true:strict_init_order=true:detect_odr_violation=1:detect_container_overflow=0:check_initialization_order=true:debug=true 2025-12-04T09:03:45.6071963Z + ASAN_OPTIONS=detect_leaks=0:symbolize=1:detect_stack_use_after_return=true:strict_init_order=true:detect_odr_violation=1:detect_container_overflow=0:check_initialization_order=true:debug=true 2025-12-04T09:03:45.6072908Z + [[ linux-jammy-py3.10-clang18-asan == *cuda* ]] 2025-12-04T09:03:45.6073477Z + export UBSAN_OPTIONS=print_stacktrace=1:suppressions=/var/lib/jenkins/workspace/ubsan.supp 2025-12-04T09:03:45.6074187Z + UBSAN_OPTIONS=print_stacktrace=1:suppressions=/var/lib/jenkins/workspace/ubsan.supp 2025-12-04T09:03:45.6074703Z + export PYTORCH_TEST_WITH_ASAN=1 2025-12-04T09:03:45.6075017Z + PYTORCH_TEST_WITH_ASAN=1 2025-12-04T09:03:45.6075303Z + export PYTORCH_TEST_WITH_UBSAN=1 2025-12-04T09:03:45.6075598Z + PYTORCH_TEST_WITH_UBSAN=1 2025-12-04T09:03:45.6075987Z + export ASAN_SYMBOLIZER_PATH=/usr/lib/llvm-18/bin/llvm-symbolizer 2025-12-04T09:03:45.6076483Z + ASAN_SYMBOLIZER_PATH=/usr/lib/llvm-18/bin/llvm-symbolizer 2025-12-04T09:03:45.6076871Z + export TORCH_USE_RTLD_GLOBAL=1 2025-12-04T09:03:45.6077165Z + TORCH_USE_RTLD_GLOBAL=1 2025-12-04T09:03:45.6077504Z ++ clang --print-file-name=libclang_rt.asan-x86_64.so 2025-12-04T09:03:45.9729487Z + LD_PRELOAD=/usr/lib/llvm-18/lib/clang/18/lib/linux/libclang_rt.asan-x86_64.so 2025-12-04T09:03:45.9729992Z + export LD_PRELOAD 2025-12-04T09:03:45.9730247Z + export VALGRIND=OFF 2025-12-04T09:03:45.9730556Z + VALGRIND=OFF 2025-12-04T09:03:45.9731093Z + cd test 2025-12-04T09:03:45.9731615Z + python -c 'import torch; print(torch.__version__, torch.version.git_version)' 2025-12-04T09:03:48.8789712Z 2.10.0a0+gitffd9b0f 35b7a9a26c5923d98aebaa41a031dae21788a9ee 2025-12-04T09:03:49.3374866Z + echo 'The next four invocations are expected to crash; if they don'\''t that means ASAN/UBSAN is misconfigured' 2025-12-04T09:03:49.3375694Z The next four invocations are expected to crash; if they don't that means ASAN/UBSAN is misconfigured 2025-12-04T09:03:49.3376376Z + cd test 2025-12-04T09:03:49.3377270Z + get_exit_code python -c 'import torch; torch._C._crash_if_csrc_asan(3)' 2025-12-04T09:03:49.3377752Z + set +e 2025-12-04T09:03:49.3378034Z + python -c 'import torch; torch._C._crash_if_csrc_asan(3)' 2025-12-04T09:03:52.2546884Z /var/lib/jenkins/workspace/torch/csrc/Module.cpp:262:3: runtime error: index 3 out of bounds for type 'volatile char[3]' 2025-12-04T09:03:53.7998981Z #0 0x7fe16c4e3f7d in THPModule_crashIfCsrcASAN(_object*, _object*) /var/lib/jenkins/workspace/torch/csrc/Module.cpp:262:30 2025-12-04T09:03:53.7999994Z #1 0x55de10037e89 in cfunction_vectorcall_O /usr/local/src/conda/python-3.10.14/Objects/methodobject.c:516:24 2025-12-04T09:03:53.8000945Z #2 0x55de1002d141 in _PyObject_VectorcallTstate /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114:11 2025-12-04T09:03:53.8001885Z #3 0x55de1002d141 in PyObject_Vectorcall /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:123:12 2025-12-04T09:03:53.8002700Z #4 0x55de1002d141 in call_function /usr/local/src/conda/python-3.10.14/Python/ceval.c:5893:13 2025-12-04T09:03:53.8003469Z #5 0x55de1002d141 in _PyEval_EvalFrameDefault /usr/local/src/conda/python-3.10.14/Python/ceval.c:4181:23 2025-12-04T09:03:53.8004337Z #6 0x55de100cbc5f in _PyEval_EvalFrame /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46:12 2025-12-04T09:03:53.8005154Z #7 0x55de100cbc5f in _PyEval_Vector /usr/local/src/conda/python-3.10.14/Python/ceval.c:5067:24 2025-12-04T09:03:53.8006138Z #8 0x55de100cbba6 in PyEval_EvalCode /usr/local/src/conda/python-3.10.14/Python/ceval.c:1134:12 2025-12-04T09:03:53.8006895Z #9 0x55de100fc129 in run_eval_code_obj /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1291:9 2025-12-04T09:03:53.8007829Z #10 0x55de100f7522 in run_mod /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1312:19 2025-12-04T09:03:53.8008604Z #11 0x55de100ef91c in PyRun_StringFlags /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1183:15 2025-12-04T09:03:53.8009441Z #12 0x55de100ef75b in PyRun_SimpleStringFlags /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:503:9 2025-12-04T09:03:53.8010258Z #13 0x55de100ee66a in pymain_run_command /usr/local/src/conda/python-3.10.14/Modules/main.c:252:11 2025-12-04T09:03:53.8011070Z #14 0x55de100ee66a in pymain_run_python /usr/local/src/conda/python-3.10.14/Modules/main.c:582:21 2025-12-04T09:03:53.8011788Z #15 0x55de100ee66a in Py_RunMain /usr/local/src/conda/python-3.10.14/Modules/main.c:670:5 2025-12-04T09:03:53.8012480Z #16 0x55de100bf1f6 in Py_BytesMain /usr/local/src/conda/python-3.10.14/Modules/main.c:1090:12 2025-12-04T09:03:53.8013189Z #17 0x7fe1727d7d8f in __libc_start_call_main csu/../sysdeps/nptl/libc_start_call_main.h:58:16 2025-12-04T09:03:53.8013821Z #18 0x7fe1727d7e3f in __libc_start_main csu/../csu/libc-start.c:392:3 2025-12-04T09:03:53.8014380Z #19 0x55de100bf0f0 in _start (/opt/conda/envs/py_3.10/bin/python3.10+0x1cb0f0) 2025-12-04T09:03:53.8014734Z 2025-12-04T09:03:53.8015169Z SUMMARY: UndefinedBehaviorSanitizer: undefined-behavior /var/lib/jenkins/workspace/torch/csrc/Module.cpp:262:3 2025-12-04T09:03:53.8475154Z + retcode=1 2025-12-04T09:03:53.8475421Z + set -e 2025-12-04T09:03:53.8475621Z + return 1 2025-12-04T09:03:53.8478681Z + cd test 2025-12-04T09:03:53.8479387Z + get_exit_code python -c 'import torch; torch._C._crash_if_vptr_ubsan()' 2025-12-04T09:03:53.8479836Z + set +e 2025-12-04T09:03:53.8480118Z + python -c 'import torch; torch._C._crash_if_vptr_ubsan()' 2025-12-04T09:03:57.1136502Z /var/lib/jenkins/workspace/torch/csrc/Module.cpp:297:16: runtime error: member call on address 0x7f30d21068a0 which does not point to an object of type 'Foo' 2025-12-04T09:03:57.1138353Z 0x7f30d21068a0: note: object is of type 'THPModule_crashIfvptrUBSAN(_object*, _object*)::Baz' 2025-12-04T09:03:57.1139115Z ff 7f 00 00 50 bc 4f d0 30 7f 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 a2 81 0f d2 2025-12-04T09:03:57.1139612Z  ^~~~~~~~~~~~~~~~~~~~~~~ 2025-12-04T09:03:57.1140050Z vptr for 'THPModule_crashIfvptrUBSAN(_object*, _object*)::Baz' 2025-12-04T09:03:57.3330885Z #0 0x7f30ce0217bf in THPModule_crashIfvptrUBSAN(_object*, _object*) /var/lib/jenkins/workspace/torch/csrc/Module.cpp:297:16 2025-12-04T09:03:57.3331879Z #1 0x55f2131fc3d1 in cfunction_vectorcall_NOARGS /usr/local/src/conda/python-3.10.14/Objects/methodobject.c:489:24 2025-12-04T09:03:57.3332873Z #2 0x55f2131f3141 in _PyObject_VectorcallTstate /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114:11 2025-12-04T09:03:57.3333811Z #3 0x55f2131f3141 in PyObject_Vectorcall /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:123:12 2025-12-04T09:03:57.3334640Z #4 0x55f2131f3141 in call_function /usr/local/src/conda/python-3.10.14/Python/ceval.c:5893:13 2025-12-04T09:03:57.3335415Z #5 0x55f2131f3141 in _PyEval_EvalFrameDefault /usr/local/src/conda/python-3.10.14/Python/ceval.c:4181:23 2025-12-04T09:03:57.3336282Z #6 0x55f213291c5f in _PyEval_EvalFrame /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46:12 2025-12-04T09:03:57.3337112Z #7 0x55f213291c5f in _PyEval_Vector /usr/local/src/conda/python-3.10.14/Python/ceval.c:5067:24 2025-12-04T09:03:57.3337856Z #8 0x55f213291ba6 in PyEval_EvalCode /usr/local/src/conda/python-3.10.14/Python/ceval.c:1134:12 2025-12-04T09:03:57.3338834Z #9 0x55f2132c2129 in run_eval_code_obj /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1291:9 2025-12-04T09:03:57.3339577Z #10 0x55f2132bd522 in run_mod /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1312:19 2025-12-04T09:03:57.3340462Z #11 0x55f2132b591c in PyRun_StringFlags /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1183:15 2025-12-04T09:03:57.3341308Z #12 0x55f2132b575b in PyRun_SimpleStringFlags /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:503:9 2025-12-04T09:03:57.3342130Z #13 0x55f2132b466a in pymain_run_command /usr/local/src/conda/python-3.10.14/Modules/main.c:252:11 2025-12-04T09:03:57.3342878Z #14 0x55f2132b466a in pymain_run_python /usr/local/src/conda/python-3.10.14/Modules/main.c:582:21 2025-12-04T09:03:57.3343666Z #15 0x55f2132b466a in Py_RunMain /usr/local/src/conda/python-3.10.14/Modules/main.c:670:5 2025-12-04T09:03:57.3344374Z #16 0x55f2132851f6 in Py_BytesMain /usr/local/src/conda/python-3.10.14/Modules/main.c:1090:12 2025-12-04T09:03:57.3345072Z #17 0x7f30d439ad8f in __libc_start_call_main csu/../sysdeps/nptl/libc_start_call_main.h:58:16 2025-12-04T09:03:57.3345696Z #18 0x7f30d439ae3f in __libc_start_main csu/../csu/libc-start.c:392:3 2025-12-04T09:03:57.3346266Z #19 0x55f2132850f0 in _start (/opt/conda/envs/py_3.10/bin/python3.10+0x1cb0f0) 2025-12-04T09:03:57.3346620Z 2025-12-04T09:03:57.3347081Z SUMMARY: UndefinedBehaviorSanitizer: undefined-behavior /var/lib/jenkins/workspace/torch/csrc/Module.cpp:297:16 2025-12-04T09:03:57.3755260Z + retcode=1 2025-12-04T09:03:57.3755515Z + set -e 2025-12-04T09:03:57.3755730Z + return 1 2025-12-04T09:03:57.3759708Z + cd test 2025-12-04T09:03:57.3760063Z + get_exit_code python -c 'import torch; torch._C._crash_if_aten_asan(3)' 2025-12-04T09:03:57.3760491Z + set +e 2025-12-04T09:03:57.3760781Z + python -c 'import torch; torch._C._crash_if_aten_asan(3)' 2025-12-04T09:04:00.2959789Z /var/lib/jenkins/workspace/aten/src/ATen/Utils.cpp:15:3: runtime error: index 3 out of bounds for type 'volatile char[3]' 2025-12-04T09:04:02.2315490Z #0 0x7f9a350902eb in at::_crash_if_asan(int) /var/lib/jenkins/workspace/aten/src/ATen/Utils.cpp:15:10 2025-12-04T09:04:02.2316438Z #1 0x7f9a5bd21979 in THPModule_crashIfATenASAN(_object*, _object*) /var/lib/jenkins/workspace/torch/csrc/Module.cpp:308:29 2025-12-04T09:04:02.2317373Z #2 0x55e07914fe89 in cfunction_vectorcall_O /usr/local/src/conda/python-3.10.14/Objects/methodobject.c:516:24 2025-12-04T09:04:02.2318301Z #3 0x55e079145141 in _PyObject_VectorcallTstate /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114:11 2025-12-04T09:04:02.2319230Z #4 0x55e079145141 in PyObject_Vectorcall /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:123:12 2025-12-04T09:04:02.2320040Z #5 0x55e079145141 in call_function /usr/local/src/conda/python-3.10.14/Python/ceval.c:5893:13 2025-12-04T09:04:02.2320832Z #6 0x55e079145141 in _PyEval_EvalFrameDefault /usr/local/src/conda/python-3.10.14/Python/ceval.c:4181:23 2025-12-04T09:04:02.2321688Z #7 0x55e0791e3c5f in _PyEval_EvalFrame /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46:12 2025-12-04T09:04:02.2322507Z #8 0x55e0791e3c5f in _PyEval_Vector /usr/local/src/conda/python-3.10.14/Python/ceval.c:5067:24 2025-12-04T09:04:02.2323251Z #9 0x55e0791e3ba6 in PyEval_EvalCode /usr/local/src/conda/python-3.10.14/Python/ceval.c:1134:12 2025-12-04T09:04:02.2324009Z #10 0x55e079214129 in run_eval_code_obj /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1291:9 2025-12-04T09:04:02.2324759Z #11 0x55e07920f522 in run_mod /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1312:19 2025-12-04T09:04:02.2325520Z #12 0x55e07920791c in PyRun_StringFlags /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1183:15 2025-12-04T09:04:02.2326359Z #13 0x55e07920775b in PyRun_SimpleStringFlags /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:503:9 2025-12-04T09:04:02.2328321Z #14 0x55e07920666a in pymain_run_command /usr/local/src/conda/python-3.10.14/Modules/main.c:252:11 2025-12-04T09:04:02.2329122Z #15 0x55e07920666a in pymain_run_python /usr/local/src/conda/python-3.10.14/Modules/main.c:582:21 2025-12-04T09:04:02.2329976Z #16 0x55e07920666a in Py_RunMain /usr/local/src/conda/python-3.10.14/Modules/main.c:670:5 2025-12-04T09:04:02.2330675Z #17 0x55e0791d71f6 in Py_BytesMain /usr/local/src/conda/python-3.10.14/Modules/main.c:1090:12 2025-12-04T09:04:02.2331373Z #18 0x7f9a6204fd8f in __libc_start_call_main csu/../sysdeps/nptl/libc_start_call_main.h:58:16 2025-12-04T09:04:02.2331989Z #19 0x7f9a6204fe3f in __libc_start_main csu/../csu/libc-start.c:392:3 2025-12-04T09:04:02.2332545Z #20 0x55e0791d70f0 in _start (/opt/conda/envs/py_3.10/bin/python3.10+0x1cb0f0) 2025-12-04T09:04:02.2332897Z 2025-12-04T09:04:02.2333343Z SUMMARY: UndefinedBehaviorSanitizer: undefined-behavior /var/lib/jenkins/workspace/aten/src/ATen/Utils.cpp:15:3 2025-12-04T09:04:02.2736188Z + retcode=1 2025-12-04T09:04:02.2736424Z + set -e 2025-12-04T09:04:02.2736629Z + return 1 2025-12-04T09:04:02.2738122Z + [[ linux-jammy-py3.10-clang18-asan == *-debug* ]] 2025-12-04T09:04:02.2738577Z + [[ linux-jammy-py3.10-clang18-asan != *-bazel-* ]] 2025-12-04T09:04:02.2739158Z + echo 'We are not in debug mode: linux-jammy-py3.10-clang18-asan. Expect the assertion to pass' 2025-12-04T09:04:02.2739844Z We are not in debug mode: linux-jammy-py3.10-clang18-asan. Expect the assertion to pass 2025-12-04T09:04:02.2741556Z + cd test 2025-12-04T09:04:02.2742594Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-12-04T09:04:05.6680032Z + [[ default == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-12-04T09:04:05.6680417Z + [[ default == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-12-04T09:04:05.6680793Z + [[ default == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-12-04T09:04:05.6684208Z + DYNAMO_BENCHMARK_FLAGS=() 2025-12-04T09:04:05.6685055Z + [[ default == *pr_time_benchmarks* ]] 2025-12-04T09:04:05.6685439Z + [[ default == *dynamo_eager* ]] 2025-12-04T09:04:05.6685796Z + [[ default == *aot_eager* ]] 2025-12-04T09:04:05.6686080Z + [[ default == *aot_inductor* ]] 2025-12-04T09:04:05.6686398Z + [[ default == *max_autotune_inductor* ]] 2025-12-04T09:04:05.6686738Z + [[ default == *inductor* ]] 2025-12-04T09:04:05.6687010Z + [[ default == *dynamic* ]] 2025-12-04T09:04:05.6687286Z + [[ default == *cpu* ]] 2025-12-04T09:04:05.6687545Z + [[ default == *xpu* ]] 2025-12-04T09:04:05.6687847Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda) 2025-12-04T09:04:05.6718443Z + [[ linux-jammy-py3.10-clang18-asan == *libtorch* ]] 2025-12-04T09:04:05.6718888Z + [[ linux-jammy-py3.10-clang18-asan == *-bazel-* ]] 2025-12-04T09:04:05.6721929Z + cd test 2025-12-04T09:04:05.6722474Z + python -c 'import torch; print(torch.__config__.show())' 2025-12-04T09:04:08.7805844Z PyTorch built with: 2025-12-04T09:04:08.7806163Z - GCC 4.2 2025-12-04T09:04:08.7806386Z - C++ Version: 201703 2025-12-04T09:04:08.7806631Z - clang 18.1.8 2025-12-04T09:04:08.7807219Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-12-04T09:04:08.7807973Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-12-04T09:04:08.7808422Z - OpenMP 202011 2025-12-04T09:04:08.7808687Z - LAPACK is enabled (usually provided by MKL) 2025-12-04T09:04:08.7809029Z - NNPACK is enabled 2025-12-04T09:04:08.7809296Z - CPU capability usage: AVX512 2025-12-04T09:04:08.7815042Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=RelWithDebInfo, COMMIT_SHA=35b7a9a26c5923d98aebaa41a031dae21788a9ee, CXX_COMPILER=/opt/cache/bin/clang++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -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, 2025-12-04T09:04:08.7820832Z 2025-12-04T09:04:09.2808598Z + cd test 2025-12-04T09:04:09.2809005Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-12-04T09:04:12.2354856Z ATen/Parallel: 2025-12-04T09:04:12.2355186Z at::get_num_threads() : 8 2025-12-04T09:04:12.2355498Z at::get_num_interop_threads() : 8 2025-12-04T09:04:12.2355851Z OpenMP 202011 2025-12-04T09:04:12.2356088Z omp_get_max_threads() : 8 2025-12-04T09:04:12.2356657Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-12-04T09:04:12.2357289Z mkl_get_max_threads() : 8 2025-12-04T09:04:12.2357677Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-12-04T09:04:12.2358129Z std::thread::hardware_concurrency() : 16 2025-12-04T09:04:12.2358458Z Environment variables: 2025-12-04T09:04:12.2358724Z OMP_NUM_THREADS : [not set] 2025-12-04T09:04:12.2358993Z MKL_NUM_THREADS : [not set] 2025-12-04T09:04:12.2359278Z ATen parallel backend: OpenMP 2025-12-04T09:04:12.2359463Z 2025-12-04T09:04:12.6976878Z + [[ default == *numpy_2* ]] 2025-12-04T09:04:12.6977298Z + [[ linux-jammy-py3.10-clang18-asan == *aarch64* ]] 2025-12-04T09:04:12.6977755Z + [[ default == *backward* ]] 2025-12-04T09:04:12.6978067Z + [[ default == *libtorch_agnostic_targetting* ]] 2025-12-04T09:04:12.6978440Z + [[ default == *xla* ]] 2025-12-04T09:04:12.6978703Z + [[ default == *vllm* ]] 2025-12-04T09:04:12.6978962Z + [[ default == *executorch* ]] 2025-12-04T09:04:12.6979278Z + [[ default == \j\i\t\_\l\e\g\a\c\y ]] 2025-12-04T09:04:12.6979603Z + [[ default == \q\u\a\n\t\i\z\a\t\i\o\n ]] 2025-12-04T09:04:12.6979974Z + [[ linux-jammy-py3.10-clang18-asan == *libtorch* ]] 2025-12-04T09:04:12.6980326Z + [[ default == distributed ]] 2025-12-04T09:04:12.6980623Z + [[ default == *operator_benchmark* ]] 2025-12-04T09:04:12.6980963Z + [[ default == *operator_microbenchmark* ]] 2025-12-04T09:04:12.6981301Z + [[ default == *attention_microbenchmark* ]] 2025-12-04T09:04:12.6981644Z + [[ default == *inductor_distributed* ]] 2025-12-04T09:04:12.6981973Z + [[ default == *inductor-halide* ]] 2025-12-04T09:04:12.6982275Z + [[ default == *inductor-pallas* ]] 2025-12-04T09:04:12.6982598Z + [[ default == *inductor-triton-cpu* ]] 2025-12-04T09:04:12.6982945Z + [[ default == *inductor-micro-benchmark* ]] 2025-12-04T09:04:12.6983308Z + [[ default == *aoti_cross_compile_for_windows* ]] 2025-12-04T09:04:12.6983728Z + [[ default == *huggingface* ]] 2025-12-04T09:04:12.6984017Z + [[ default == *timm* ]] 2025-12-04T09:04:12.6984294Z + [[ default == cachebench ]] 2025-12-04T09:04:12.6984588Z + [[ default == verify_cachebench ]] 2025-12-04T09:04:12.6984893Z + [[ default == *torchbench* ]] 2025-12-04T09:04:12.6985194Z + [[ default == *inductor_cpp_wrapper* ]] 2025-12-04T09:04:12.6985508Z + [[ default == *inductor_core* ]] 2025-12-04T09:04:12.6985808Z + [[ default == *inductor* ]] 2025-12-04T09:04:12.6986088Z + [[ default == *einops* ]] 2025-12-04T09:04:12.6986351Z + [[ default == *dynamo_core* ]] 2025-12-04T09:04:12.6986643Z + [[ default == *dynamo_wrapped* ]] 2025-12-04T09:04:12.6986981Z + [[ linux-jammy-py3.10-clang18-asan == *rocm* ]] 2025-12-04T09:04:12.6987312Z + [[ 1 == 1 ]] 2025-12-04T09:04:12.6987522Z + [[ 7 -gt 1 ]] 2025-12-04T09:04:12.6987777Z + test_lazy_tensor_meta_reference_disabled 2025-12-04T09:04:12.6988454Z + export TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE=1 2025-12-04T09:04:12.6988884Z + TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE=1 2025-12-04T09:04:12.6989329Z + echo 'Testing lazy tensor operations without meta reference' 2025-12-04T09:04:12.6989899Z Testing lazy tensor operations without meta reference 2025-12-04T09:04:12.6990371Z + python test/run_test.py --include lazy/test_ts_opinfo.py --verbose 2025-12-04T09:04:20.0726113Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T09:04:20.1331926Z Ignoring disabled issues: [''] 2025-12-04T09:04:20.1494055Z Found test times from artifacts 2025-12-04T09:04:20.1966905Z Found test times from artifacts 2025-12-04T09:04:20.1984191Z Running all tests 2025-12-04T09:04:20.1987487Z Running parallel tests on 3 processes 2025-12-04T09:04:20.1988202Z Name: tests to run (est. time: 1.04min) 2025-12-04T09:04:20.1988562Z Serial tests (0): 2025-12-04T09:04:20.1988813Z Parallel tests (1): 2025-12-04T09:04:20.1989097Z lazy/test_ts_opinfo 1/1 2025-12-04T09:04:20.1989387Z Name: excluded (est. time: 0.0min) 2025-12-04T09:04:20.1989810Z Serial tests (0): 2025-12-04T09:04:20.1990057Z Parallel tests (0): 2025-12-04T09:04:20.1990614Z Running lazy/test_ts_opinfo 1/1 ... [2025-12-04 09:04:20.198903][957.871931683] 2025-12-04T09:04:20.1991088Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:04:20.1995703Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_ts_opinfo.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:04:20.199327] 2025-12-04T09:04:27.5067934Z 2025-12-04T09:04:27.5068809Z 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_a9f7e293be91ae65_.log 2025-12-04T09:04:27.5069606Z Running 0 items in this shard: 2025-12-04T09:04:27.5069987Z 2025-12-04T09:04:27.5070267Z Finished lazy/test_ts_opinfo 1/1 ... [2025-12-04 09:04:27.506769][965.17979438], took 0.12min 2025-12-04T09:04:27.5076376Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-1d6afc0f96ddec9b.xml 2025-12-04T09:04:27.8165676Z Uploading artifacts took 0.11 seconds 2025-12-04T09:04:32.7702170Z Running lazy/test_ts_opinfo 1/1 ... [2025-12-04 09:04:32.769828][970.44285029] 2025-12-04T09:04:32.7702685Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:04:32.7706684Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_ts_opinfo.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:04:32.770397] 2025-12-04T09:04:39.8502657Z 2025-12-04T09:04:39.8503983Z 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_b497a06c036d83e2_.log 2025-12-04T09:04:39.8505205Z Running 0 items in this shard: 2025-12-04T09:04:39.8505512Z 2025-12-04T09:04:39.8505907Z Finished lazy/test_ts_opinfo 1/1 ... [2025-12-04 09:04:39.850263][977.523286011], took 0.12min 2025-12-04T09:04:39.8519472Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-1b3955290b9ce846.xml 2025-12-04T09:04:40.8963150Z Running test batch 'tests to run' cost 20.7 seconds 2025-12-04T09:04:41.7574333Z 2025-12-04T09:04:41.7574786Z real 0m29.059s 2025-12-04T09:04:41.7575233Z user 0m37.367s 2025-12-04T09:04:41.7575564Z sys 0m8.781s 2025-12-04T09:04:41.7576057Z + export -n TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE 2025-12-04T09:04:41.7576670Z + test_without_numpy 2025-12-04T09:04:41.7579076Z ++ dirname .ci/pytorch/test.sh 2025-12-04T09:04:41.7633284Z + pushd .ci/pytorch 2025-12-04T09:04:41.7633905Z ~/workspace/.ci/pytorch ~/workspace 2025-12-04T09:04:41.7634758Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');from unittest import TestCase;import torch;x=torch.randn(3,3);TestCase().assertRaises(RuntimeError, lambda: x.numpy())' 2025-12-04T09:04:43.8493530Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/functional_tensor.py:283: UserWarning: Failed to initialize NumPy: Sorry PyTorch, but our NumPy is in the other folder (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:84.) 2025-12-04T09:04:43.8495044Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-12-04T09:04:45.2342268Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');import torch;print(torch.tensor([torch.tensor(0.), torch.tensor(1.)]))' 2025-12-04T09:04:47.1086501Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/functional_tensor.py:283: UserWarning: Failed to initialize NumPy: Sorry PyTorch, but our NumPy is in the other folder (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:84.) 2025-12-04T09:04:47.1087977Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-12-04T09:04:48.1095225Z tensor([0., 1.]) 2025-12-04T09:04:48.5629646Z + [[ default == *dynamo_wrapped* ]] 2025-12-04T09:04:48.5630214Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');import torch; import torch.onnx' 2025-12-04T09:04:50.4311957Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/functional_tensor.py:283: UserWarning: Failed to initialize NumPy: Sorry PyTorch, but our NumPy is in the other folder (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:84.) 2025-12-04T09:04:50.4313526Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-12-04T09:04:51.8364831Z + popd 2025-12-04T09:04:51.8365098Z ~/workspace 2025-12-04T09:04:51.8365321Z + install_torchvision 2025-12-04T09:04:51.8365587Z + local orig_preload 2025-12-04T09:04:51.8365857Z + local commit 2025-12-04T09:04:51.8368534Z ++ get_pinned_commit vision 2025-12-04T09:04:51.8368903Z ++ cat .github/ci_commit_pins/vision.txt 2025-12-04T09:04:51.8442066Z + commit=617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:04:51.8442663Z + orig_preload=/usr/lib/llvm-18/lib/clang/18/lib/linux/libclang_rt.asan-x86_64.so 2025-12-04T09:04:51.8443299Z + '[' -n /usr/lib/llvm-18/lib/clang/18/lib/linux/libclang_rt.asan-x86_64.so ']' 2025-12-04T09:04:51.8445064Z + echo 'char* dlerror(void) { return "";}' 2025-12-04T09:04:51.8446466Z + gcc -fpic -shared -o /var/lib/jenkins/dlerror.so -x c - 2025-12-04T09:04:52.0534045Z + LD_PRELOAD=/usr/lib/llvm-18/lib/clang/18/lib/linux/libclang_rt.asan-x86_64.so:/var/lib/jenkins/dlerror.so 2025-12-04T09:04:52.0534747Z + [[ linux-jammy-py3.10-clang18-asan == *cuda* ]] 2025-12-04T09:04:52.0535450Z + pip_build_and_install git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e dist/vision 2025-12-04T09:04:52.0536373Z + local build_target=git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:04:52.0536957Z + local wheel_dir=dist/vision 2025-12-04T09:04:52.0537255Z + local found_whl=0 2025-12-04T09:04:52.0537496Z + for file in "${wheel_dir}"/*.whl 2025-12-04T09:04:52.0537822Z + [[ -f dist/vision/*.whl ]] 2025-12-04T09:04:52.0538089Z + '[' 0 == 0 ']' 2025-12-04T09:04:52.0538774Z + python3 -m pip wheel --no-build-isolation --no-deps -w dist/vision git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:04:52.4849606Z Collecting git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:04:52.4855238Z Cloning https://github.com/pytorch/vision.git (to revision 617079d944b0e72632311c30ae2bbdf1168b901e) to /tmp/pip-req-build-143ltr0o 2025-12-04T09:04:52.5094552Z Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-143ltr0o 2025-12-04T09:04:55.0532185Z Running command git rev-parse -q --verify 'sha^617079d944b0e72632311c30ae2bbdf1168b901e' 2025-12-04T09:04:55.0604776Z Running command git fetch -q https://github.com/pytorch/vision.git 617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:04:55.3025237Z Resolved https://github.com/pytorch/vision.git to commit 617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:04:59.0865645Z Preparing metadata (pyproject.toml) ... [?25l- \ done 2025-12-04T09:04:59.0911283Z [?25hBuilding wheels for collected packages: torchvision 2025-12-04T09:06:00.4723655Z Building wheel for torchvision (pyproject.toml) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / done 2025-12-04T09:06:00.4767587Z [?25h Created wheel for torchvision: filename=torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl size=1167643 sha256=148a79feac2d1d5860f70d09fb75e20fc00b84dab675ab08b72c3b2df152310a 2025-12-04T09:06:00.4779220Z Stored in directory: /var/lib/jenkins/.cache/pip/wheels/12/b2/29/1f82685c5b5173629e1f36a9b93989ce92ce563e5fb91d27ac 2025-12-04T09:06:00.4818681Z Successfully built torchvision 2025-12-04T09:06:00.5772100Z + for file in "${wheel_dir}"/*.whl 2025-12-04T09:06:00.5772702Z + pip_install_whl dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T09:06:00.5777918Z + args=('dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl') 2025-12-04T09:06:00.5778476Z + local args 2025-12-04T09:06:00.5778957Z + [[ dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-12-04T09:06:00.5779466Z + for path in "${args[@]}" 2025-12-04T09:06:00.5780007Z + echo 'Installing dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl' 2025-12-04T09:06:00.5780826Z Installing dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T09:06:00.5781728Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T09:06:01.0410918Z Processing ./dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T09:06:01.0546777Z Installing collected packages: torchvision 2025-12-04T09:06:01.7477473Z Successfully installed torchvision-0.25.0a0+617079d 2025-12-04T09:06:01.8172368Z + '[' -n /usr/lib/llvm-18/lib/clang/18/lib/linux/libclang_rt.asan-x86_64.so:/var/lib/jenkins/dlerror.so ']' 2025-12-04T09:06:01.8173160Z + LD_PRELOAD=/usr/lib/llvm-18/lib/clang/18/lib/linux/libclang_rt.asan-x86_64.so 2025-12-04T09:06:01.8173641Z + test_python_shard 1 2025-12-04T09:06:01.8173892Z + [[ -z 7 ]] 2025-12-04T09:06:01.8174648Z + python test/run_test.py --exclude-jit-executor --exclude-distributed-tests --exclude-quantization-tests --shard 1 7 --verbose --upload-artifacts-while-running 2025-12-04T09:06:08.9347256Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T09:06:08.9475095Z Found test times from artifacts 2025-12-04T09:06:08.9977952Z Found test times from artifacts 2025-12-04T09:06:08.9995081Z Running all tests 2025-12-04T09:06:09.0734727Z Running parallel tests on 3 processes 2025-12-04T09:06:09.0740065Z Name: tests to run (est. time: 99.5min) 2025-12-04T09:06:09.0740706Z Serial tests (48): 2025-12-04T09:06:09.0741200Z dynamo/test_fake_distributed 1/1 2025-12-04T09:06:09.0741747Z test_utils 1/1 2025-12-04T09:06:09.0742210Z test_ci_sanity_check_fail 1/1 2025-12-04T09:06:09.0742761Z test_fx 2/2 2025-12-04T09:06:09.0743196Z test_multiprocessing_spawn 1/1 2025-12-04T09:06:09.0743827Z nn/test_pooling 1/1 2025-12-04T09:06:09.0744298Z test_overrides 1/1 2025-12-04T09:06:09.0744745Z test_reductions 1/1 2025-12-04T09:06:09.0745213Z test_spectral_ops 1/1 2025-12-04T09:06:09.0745588Z doctests 1/1 2025-12-04T09:06:09.0745962Z inductor/test_flex_attention 1/8 2025-12-04T09:06:09.0746509Z inductor/test_flex_attention 3/8 2025-12-04T09:06:09.0747449Z inductor/test_flex_attention 4/8 2025-12-04T09:06:09.0748002Z inductor/test_flex_attention 5/8 2025-12-04T09:06:09.0748728Z inductor/test_flex_attention 6/8 2025-12-04T09:06:09.0749279Z inductor/test_flex_attention 7/8 2025-12-04T09:06:09.0749835Z inductor/test_flex_attention 8/8 2025-12-04T09:06:09.0750409Z inductor/test_cutlass_backend 1/1 2025-12-04T09:06:09.0750981Z inductor/test_benchmark_fusion 1/1 2025-12-04T09:06:09.0751589Z inductor/test_distributed_patterns 1/1 2025-12-04T09:06:09.0752163Z test_sort_and_select 1/1 2025-12-04T09:06:09.0752697Z test_privateuseone_python_backend 1/1 2025-12-04T09:06:09.0753296Z test_cpp_api_parity 1/1 2025-12-04T09:06:09.0753796Z test_extension_utils 1/1 2025-12-04T09:06:09.0754304Z test_show_pickle 1/1 2025-12-04T09:06:09.0754765Z test_tensorexpr 1/1 2025-12-04T09:06:09.0755141Z test_namedtuple_return_api 1/1 2025-12-04T09:06:09.0755594Z test_fake_tensor 1/1 2025-12-04T09:06:09.0756048Z test_multiprocessing 1/1 2025-12-04T09:06:09.0756540Z test_autograd_fallback 1/1 2025-12-04T09:06:09.0757039Z test_autocast 1/1 2025-12-04T09:06:09.0757504Z test_jit_disabled 1/1 2025-12-04T09:06:09.0757964Z test_cpp_extensions_mtia_backend 1/1 2025-12-04T09:06:09.0758502Z functorch/test_memory_efficient_fusion 1/1 2025-12-04T09:06:09.0759044Z test_cpp_extensions_stream_and_event 1/1 2025-12-04T09:06:09.0759551Z test_dispatch 1/1 2025-12-04T09:06:09.0759938Z nn/test_convolution 1/1 2025-12-04T09:06:09.0760388Z test_cpp_extensions_jit 1/1 2025-12-04T09:06:09.0760816Z test_cuda_trace 1/1 2025-12-04T09:06:09.0761190Z test_native_mha 1/1 2025-12-04T09:06:09.0761589Z test_cuda_nvml_based_avail 1/1 2025-12-04T09:06:09.0762065Z test_mobile_optimizer 1/1 2025-12-04T09:06:09.0762482Z test_cuda_primary_ctx 1/1 2025-12-04T09:06:09.0762982Z distributions/test_distributions 1/1 2025-12-04T09:06:09.0763587Z test_autoload_disable 1/1 2025-12-04T09:06:09.0764117Z test_autoload_enable 1/1 2025-12-04T09:06:09.0764678Z test_cpp_extensions_aot_ninja 1/1 2025-12-04T09:06:09.0765237Z test_cpp_extensions_aot_no_ninja 1/1 2025-12-04T09:06:09.0765776Z Parallel tests (14): 2025-12-04T09:06:09.0766153Z inductor/test_collective_autotuning 1/1 2025-12-04T09:06:09.0766488Z inductor/test_smoke 1/1 2025-12-04T09:06:09.0766778Z inductor/test_triton_cpu_backend 1/1 2025-12-04T09:06:09.0767104Z inductor/test_subgraph_choice 1/1 2025-12-04T09:06:09.0767427Z inductor/test_flex_flash 1/1 2025-12-04T09:06:09.0767752Z inductor/test_cooperative_reductions 1/1 2025-12-04T09:06:09.0768206Z inductor/test_control_deps 1/1 2025-12-04T09:06:09.0768671Z inductor/test_profiler 1/1 2025-12-04T09:06:09.0769007Z inductor/test_mix_order_reduction 1/1 2025-12-04T09:06:09.0769327Z inductor/test_fxir_backend 1/1 2025-12-04T09:06:09.0769629Z nn/attention/test_fa4 1/1 2025-12-04T09:06:09.0770122Z test_cuda_sanitizer 1/1 2025-12-04T09:06:09.0770415Z functorch/test_aotdispatch 8/13 2025-12-04T09:06:09.0770728Z test_accelerator 1/1 2025-12-04T09:06:09.0771008Z Name: excluded (est. time: 0.0min) 2025-12-04T09:06:09.0771311Z Serial tests (0): 2025-12-04T09:06:09.0771543Z Parallel tests (0): 2025-12-04T09:06:09.0771979Z Running dynamo/test_fake_distributed 1/1 ... [2025-12-04 09:06:09.075508][1066.748532822] 2025-12-04T09:06:09.0772484Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:06:09.0773740Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_fake_distributed.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:06:09.076116] 2025-12-04T09:06:14.5333223Z 2025-12-04T09:06:14.5334604Z 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_0fc3b5569305d15f_.log 2025-12-04T09:06:14.5335505Z Running 0 items in this shard: 2025-12-04T09:06:14.5335696Z 2025-12-04T09:06:14.5336026Z Finished dynamo/test_fake_distributed 1/1 ... [2025-12-04 09:06:14.533332][1072.206353833], took 0.09min 2025-12-04T09:06:14.5346179Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_fake_distributed/dynamo.test_fake_distributed-7f574bd57dd1f085.xml 2025-12-04T09:06:14.8810493Z Uploading artifacts took 0.14 seconds 2025-12-04T09:06:14.8815357Z Running test_utils 1/1 ... [2025-12-04 09:06:14.881333][1072.554358748] 2025-12-04T09:06:14.8816056Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:06:14.8821406Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_utils.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:06:14.881800] 2025-12-04T09:06:29.0490564Z 2025-12-04T09:06:29.0491709Z test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_utils_1.1_67cb69b4e4ab4985_.log 2025-12-04T09:06:29.0506315Z Running 30 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::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 2025-12-04T09:06:29.0521612Z 2025-12-04T09:06:29.0522033Z Finished test_utils 1/1 ... [2025-12-04 09:06:29.048927][1086.721951383], took 0.24min 2025-12-04T09:06:29.0523534Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_utils/test_utils-b38f136d03cd4443.xml 2025-12-04T09:06:29.1323454Z Running test_ci_sanity_check_fail 1/1 ... [2025-12-04 09:06:29.132014][1086.805038303] 2025-12-04T09:06:29.1324294Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:06:29.1327991Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ci_sanity_check_fail.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:06:29.132450] 2025-12-04T09:06:34.3125257Z Finished test_ci_sanity_check_fail 1/1 ... [2025-12-04 09:06:34.312103][1091.98512127], took 0.09min 2025-12-04T09:06:34.3139903Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ci_sanity_check_fail/test_ci_sanity_check_fail-574d4253ec09daee.xml 2025-12-04T09:06:34.4980386Z Uploading logs for 57116446492 to S3 2025-12-04T09:06:34.5283844Z Uploading artifacts took 0.19 seconds 2025-12-04T09:06:34.5284488Z test_ci_sanity_check_fail 1/1 failed! 2025-12-04T09:06:34.5289737Z Running test_fx 2/2 ... [2025-12-04 09:06:34.528771][1092.201795836] 2025-12-04T09:06:34.5290392Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:06:34.5295901Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_fx.py', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:06:34.529242] 2025-12-04T09:06:43.2017356Z 2025-12-04T09:06:43.2018132Z test_fx 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_2.2_5dedc13b34892c96_.log 2025-12-04T09:06:43.2021497Z Running 15 items in this shard: 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 2025-12-04T09:06:43.2024471Z 2025-12-04T09:06:43.2024708Z Finished test_fx 2/2 ... [2025-12-04 09:06:43.201584][1100.874610401], took 0.14min 2025-12-04T09:06:43.2033363Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fx/test_fx-3d7b09516e47bf84.xml 2025-12-04T09:06:43.2917512Z Running test_multiprocessing_spawn 1/1 ... [2025-12-04 09:06:43.291395][1100.9644183] 2025-12-04T09:06:43.2918052Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:06:43.2920721Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_multiprocessing_spawn.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:06:43.291811] 2025-12-04T09:06:53.5556808Z 2025-12-04T09:06:53.5557770Z test_multiprocessing_spawn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_spawn_1.1_3b7e0fab9c3782d5_.log 2025-12-04T09:06:53.5558628Z Running 0 items in this shard: 2025-12-04T09:06:53.5558830Z 2025-12-04T09:06:53.5559175Z Finished test_multiprocessing_spawn 1/1 ... [2025-12-04 09:06:53.555497][1111.228523123], took 0.17min 2025-12-04T09:06:53.5575819Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_multiprocessing_spawn/test_multiprocessing_spawn-21bcec7b87b10671.xml 2025-12-04T09:06:53.6386428Z Running nn/test_pooling 1/1 ... [2025-12-04 09:06:53.638406][1111.311431108] 2025-12-04T09:06:53.6386882Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:06:53.6390245Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_pooling.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:06:53.638789] 2025-12-04T09:06:59.3332865Z 2025-12-04T09:06:59.3333741Z nn/test_pooling 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pooling_1.1_6ae824b2edb46ced_.log 2025-12-04T09:06:59.3334527Z Running 0 items in this shard: 2025-12-04T09:06:59.3335010Z 2025-12-04T09:06:59.3335286Z Finished nn/test_pooling 1/1 ... [2025-12-04 09:06:59.333146][1117.00617101], took 0.09min 2025-12-04T09:06:59.3352480Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_pooling/nn.test_pooling-e43414f3c9c9640d.xml 2025-12-04T09:06:59.3587189Z Running test_overrides 1/1 ... [2025-12-04 09:06:59.358491][1117.031517208] 2025-12-04T09:06:59.3587657Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:06:59.3591193Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_overrides.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:06:59.358878] 2025-12-04T09:07:06.0818550Z 2025-12-04T09:07:06.0819423Z test_overrides 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_overrides_1.1_682365b736f00139_.log 2025-12-04T09:07:06.0843468Z Running 75 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_getitem_call, test/test_overrides.py::TestTorchFunctionMode::test_getitem_call, test/test_overrides.py::TestTorchFunctionMode::test_getitem_call, test/test_overrides.py::TestTorchFunctionMode::test_getitem_call, test/test_overrides.py::TestTorchFunctionMode::test_getitem_call, test/test_overrides.py::TestTorchFunctionMode::test_getitem_call, test/test_overrides.py::TestTorchFunctionMode::test_getitem_call, test/test_overrides.py::TestTorchFunctionMode::test_getitem_call, test/test_overrides.py::TestTorchFunctionMode::test_getitem_call, test/test_overrides.py::TestTorchFunctionMode::test_getitem_call, test/test_overrides.py::TestTorchFunctionMode::test_getitem_call, test/test_overrides.py::TestTorchFunctionMode::test_getitem_call, test/test_overrides.py::TestTorchFunctionMode::test_getitem_call, test/test_overrides.py::TestTorchFunctionMode::test_getitem_call, test/test_overrides.py::TestTorchFunctionMode::test_modes_handle_first, test/test_overrides.py::TestTorchFunctionMode::test_modes_handle_first, test/test_overrides.py::TestTorchFunctionMode::test_modes_handle_first, test/test_overrides.py::TestTorchFunctionMode::test_modes_handle_first, test/test_overrides.py::TestTorchFunctionMode::test_modes_handle_first, test/test_overrides.py::TestTorchFunctionMode::test_modes_handle_first, test/test_overrides.py::TestTorchFunctionMode::test_modes_handle_first, test/test_overrides.py::TestTorchFunctionMode::test_modes_handle_first, test/test_overrides.py::TestTorchFunctionMode::test_modes_handle_first, test/test_overrides.py::TestTorchFunctionMode::test_modes_handle_first, test/test_overrides.py::TestTorchFunctionMode::test_modes_handle_first, test/test_overrides.py::TestTorchFunctionMode::test_modes_handle_first, test/test_overrides.py::TestTorchFunctionMode::test_modes_handle_first, test/test_overrides.py::TestTorchFunctionMode::test_modes_handle_first, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_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 2025-12-04T09:07:06.0866829Z 2025-12-04T09:07:06.0867084Z Finished test_overrides 1/1 ... [2025-12-04 09:07:06.081901][1123.754922727], took 0.11min 2025-12-04T09:07:06.0868051Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_overrides/test_overrides-75a5909a2c74b85d.xml 2025-12-04T09:07:06.1853391Z Running test_reductions 1/1 ... [2025-12-04 09:07:06.185009][1123.858033255] 2025-12-04T09:07:06.1853854Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:07:06.1857089Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_reductions.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:07:06.185451] 2025-12-04T09:07:15.7687789Z 2025-12-04T09:07:15.7688650Z test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_reductions_1.1_6ebaca6e9985db6a_.log 2025-12-04T09:07:15.7693878Z Running 15 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 2025-12-04T09:07:15.7698636Z 2025-12-04T09:07:15.7698913Z Finished test_reductions 1/1 ... [2025-12-04 09:07:15.768629][1133.441653018], took 0.16min 2025-12-04T09:07:15.7708460Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_reductions/test_reductions-5154c6f59c96d324.xml 2025-12-04T09:07:15.8638458Z Running test_spectral_ops 1/1 ... [2025-12-04 09:07:15.863556][1133.536580103] 2025-12-04T09:07:15.8638933Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:07:15.8642175Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_spectral_ops.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:07:15.863969] 2025-12-04T09:07:22.7308356Z 2025-12-04T09:07:22.7309253Z test_spectral_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_spectral_ops_1.1_f6f58c9ce23d5e75_.log 2025-12-04T09:07:22.7310147Z Running 0 items in this shard: 2025-12-04T09:07:22.7310343Z 2025-12-04T09:07:22.7310634Z Finished test_spectral_ops 1/1 ... [2025-12-04 09:07:22.730675][1140.403699962], took 0.11min 2025-12-04T09:07:22.7330816Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_spectral_ops/test_spectral_ops-ced7ddcd1357ab3f.xml 2025-12-04T09:07:22.8096093Z Running doctests 1/1 ... [2025-12-04 09:07:22.809323][1140.482347563] 2025-12-04T09:07:23.4634195Z msg = Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=368. 2025-12-04T09:07:23.4635098Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:23.4635711Z Registers the function implementation as the fallback for the given key. 2025-12-04T09:07:23.4636064Z 2025-12-04T09:07:23.4636293Z This function only works for a library with global namespace ("_"). 2025-12-04T09:07:23.4636621Z 2025-12-04T09:07:23.4636706Z Args: 2025-12-04T09:07:23.4637134Z fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel` 2025-12-04T09:07:23.4637643Z to register a fallthrough. 2025-12-04T09:07:23.4638172Z dispatch_key: dispatch key that the input function should be registered for. By default, it uses 2025-12-04T09:07:23.4638780Z the dispatch key that the library was created with. 2025-12-04T09:07:23.4639436Z with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument 2025-12-04T09:07:23.4640257Z to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls. 2025-12-04T09:07:23.4640693Z 2025-12-04T09:07:23.4640810Z Example:: 2025-12-04T09:07:23.4640957Z 2025-12-04T09:07:23.4641064Z >>> my_lib = Library("_", "IMPL") 2025-12-04T09:07:23.4641415Z >>> def fallback_kernel(op, *args, **kwargs): 2025-12-04T09:07:23.4641786Z >>> # Handle all autocast ops generically 2025-12-04T09:07:23.4642103Z >>> # ... 2025-12-04T09:07:23.4642406Z >>> my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T09:07:23.4642809Z 2025-12-04T09:07:23.4643803Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7)) 2025-12-04T09:07:23.4644556Z 2025-12-04T09:07:23.4644683Z my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T09:07:23.4645119Z ^ 2025-12-04T09:07:23.4853003Z msg = Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=958. 2025-12-04T09:07:23.4853838Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:23.4854433Z Register a FakeTensor implementation ("fake impl") for this operator. 2025-12-04T09:07:23.4854769Z 2025-12-04T09:07:23.4854955Z Also sometimes known as a "meta kernel", "abstract impl". 2025-12-04T09:07:23.4855243Z 2025-12-04T09:07:23.4855493Z An "FakeTensor implementation" specifies the behavior of this operator on 2025-12-04T09:07:23.4856057Z Tensors that carry no data ("FakeTensor"). Given some input Tensors with 2025-12-04T09:07:23.4856677Z certain properties (sizes/strides/storage_offset/device), it specifies 2025-12-04T09:07:23.4857185Z what the properties of the output Tensors are. 2025-12-04T09:07:23.4857434Z 2025-12-04T09:07:23.4857660Z The FakeTensor implementation has the same signature as the operator. 2025-12-04T09:07:23.4858218Z It is run for both FakeTensors and meta tensors. To write a FakeTensor 2025-12-04T09:07:23.4858780Z implementation, assume that all Tensor inputs to the operator are 2025-12-04T09:07:23.4859316Z regular CPU/CUDA/Meta tensors, but they do not have storage, and 2025-12-04T09:07:23.4859836Z you are trying to return regular CPU/CUDA/Meta tensor(s) as output. 2025-12-04T09:07:23.4860370Z The FakeTensor implementation must consist of only PyTorch operations 2025-12-04T09:07:23.4860914Z (and may not directly access the storage or data of any input or 2025-12-04T09:07:23.4861327Z intermediate Tensors). 2025-12-04T09:07:23.4861499Z 2025-12-04T09:07:23.4861657Z This API may be used as a decorator (see examples). 2025-12-04T09:07:23.4861913Z 2025-12-04T09:07:23.4862052Z For a detailed guide on custom ops, please see 2025-12-04T09:07:23.4862544Z https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html 2025-12-04T09:07:23.4862890Z 2025-12-04T09:07:23.4862983Z Args: 2025-12-04T09:07:23.4863314Z op_name: Operator name (along with the overload) or OpOverload object. 2025-12-04T09:07:23.4863831Z func: Fake tensor implementation. 2025-12-04T09:07:23.4864261Z lib (Optional[Library]): Library to register the fake tensor to. 2025-12-04T09:07:23.4864760Z allow_override: Flag controlling if we want to override an 2025-12-04T09:07:23.4865220Z existing registered fake impl. This is by default off, 2025-12-04T09:07:23.4865690Z and will error you're trying to register a fake impl to 2025-12-04T09:07:23.4866159Z an operator that already has a fake impl. This also only 2025-12-04T09:07:23.4866599Z applies if the custom operator was not created via 2025-12-04T09:07:23.4867070Z torch.library.custom_op, as overriding and existing fake 2025-12-04T09:07:23.4867497Z impl is already allowed. 2025-12-04T09:07:23.4867720Z 2025-12-04T09:07:23.4867818Z Examples: 2025-12-04T09:07:23.4868030Z >>> import torch 2025-12-04T09:07:23.4868293Z >>> import numpy as np 2025-12-04T09:07:23.4868578Z >>> from torch import Tensor 2025-12-04T09:07:23.4868852Z >>> 2025-12-04T09:07:23.4869158Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T09:07:23.4869839Z >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=()) 2025-12-04T09:07:23.4870377Z >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T09:07:23.4870893Z >>> raise NotImplementedError("Implementation goes here") 2025-12-04T09:07:23.4871274Z >>> 2025-12-04T09:07:23.4871808Z >>> @torch.library.register_fake("mylib::custom_linear") 2025-12-04T09:07:23.4872182Z >>> def _(x, weight, bias): 2025-12-04T09:07:23.4872483Z >>> assert x.dim() == 2 2025-12-04T09:07:23.4872882Z >>> assert weight.dim() == 2 2025-12-04T09:07:23.4873190Z >>> assert bias.dim() == 1 2025-12-04T09:07:23.4873525Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T09:07:23.4873895Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T09:07:23.4874246Z >>> assert x.device == weight.device 2025-12-04T09:07:23.4874558Z >>> 2025-12-04T09:07:23.4874787Z >>> return (x @ weight.t()) + bias 2025-12-04T09:07:23.4875080Z >>> 2025-12-04T09:07:23.4875373Z >>> with torch._subclasses.fake_tensor.FakeTensorMode(): 2025-12-04T09:07:23.4875761Z >>> x = torch.randn(2, 3) 2025-12-04T09:07:23.4876067Z >>> w = torch.randn(3, 3) 2025-12-04T09:07:23.4876353Z >>> b = torch.randn(3) 2025-12-04T09:07:23.4876683Z >>> y = torch.ops.mylib.custom_linear(x, w, b) 2025-12-04T09:07:23.4877014Z >>> 2025-12-04T09:07:23.4877223Z >>> assert y.shape == (2, 3) 2025-12-04T09:07:23.4877512Z >>> 2025-12-04T09:07:23.4877803Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T09:07:23.4878294Z >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=()) 2025-12-04T09:07:23.4878756Z >>> def custom_nonzero(x: Tensor) -> Tensor: 2025-12-04T09:07:23.4879105Z >>> x_np = x.numpy(force=True) 2025-12-04T09:07:23.4879453Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T09:07:23.4879817Z >>> return torch.tensor(res, device=x.device) 2025-12-04T09:07:23.4880146Z >>> 2025-12-04T09:07:23.4880438Z >>> @torch.library.register_fake("mylib::custom_nonzero") 2025-12-04T09:07:23.4880798Z >>> def _(x): 2025-12-04T09:07:23.4881098Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T09:07:23.4881519Z >>> # Since we cannot peek at the data in an fake impl, 2025-12-04T09:07:23.4881931Z >>> # we use the ctx object to construct a new symint that 2025-12-04T09:07:23.4882335Z >>> # represents the data-dependent size. 2025-12-04T09:07:23.4882698Z >>> ctx = torch.library.get_ctx() 2025-12-04T09:07:23.4883034Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T09:07:23.4883344Z >>> shape = [nnz, x.dim()] 2025-12-04T09:07:23.4883698Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T09:07:23.4884059Z >>> return result 2025-12-04T09:07:23.4884308Z >>> 2025-12-04T09:07:23.4884607Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2025-12-04T09:07:23.4884980Z >>> 2025-12-04T09:07:23.4885197Z >>> x = torch.tensor([0, 1, 2, 3, 4, 0]) 2025-12-04T09:07:23.4885659Z >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x) 2025-12-04T09:07:23.4886131Z >>> trace.print_readable() 2025-12-04T09:07:23.4886403Z >>> 2025-12-04T09:07:23.4886742Z >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x)) 2025-12-04T09:07:23.4887098Z 2025-12-04T09:07:23.4887178Z 2025-12-04T09:07:23.4887818Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('', 38, 1, '_._ = None\n', 38, 2)) 2025-12-04T09:07:23.4888450Z 2025-12-04T09:07:23.4888532Z _._ = None 2025-12-04T09:07:23.4888737Z ^ 2025-12-04T09:07:23.5081541Z msg = Cannot scrape callname=get_kernel in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=1530. 2025-12-04T09:07:23.5082375Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:23.5082934Z Returns the computed kernel for a given operator and dispatch key. 2025-12-04T09:07:23.5083276Z 2025-12-04T09:07:23.5083497Z This function retrieves the kernel that would be executed for a given 2025-12-04T09:07:23.5084269Z operator and dispatch key combination. The returned SafeKernelFunction 2025-12-04T09:07:23.5084802Z can be used to call the kernel in a boxed fashion. The intended use 2025-12-04T09:07:23.5085424Z case for this function is to retrieve the original kernel for a given 2025-12-04T09:07:23.5085967Z dispatch key and then register another kernel to the same dispatch key 2025-12-04T09:07:23.5086464Z that calls into the original kernel for certain cases. 2025-12-04T09:07:23.5086731Z 2025-12-04T09:07:23.5086813Z Args: 2025-12-04T09:07:23.5087133Z op: Operator name (along with the overload) or OpOverload object 2025-12-04T09:07:23.5087679Z Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef. 2025-12-04T09:07:23.5088272Z dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for. 2025-12-04T09:07:23.5088841Z Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value. 2025-12-04T09:07:23.5089161Z 2025-12-04T09:07:23.5089245Z Returns: 2025-12-04T09:07:23.5089609Z torch._C._SafeKernelFunction: A safe kernel function that can be used to 2025-12-04T09:07:23.5090066Z call the kernel. 2025-12-04T09:07:23.5090238Z 2025-12-04T09:07:23.5090320Z Raises: 2025-12-04T09:07:23.5090586Z RuntimeError: If the operator does not exist. 2025-12-04T09:07:23.5090836Z 2025-12-04T09:07:23.5090936Z Example: 2025-12-04T09:07:23.5091169Z >>> # Get the CPU kernel for torch.add 2025-12-04T09:07:23.5091586Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU") 2025-12-04T09:07:23.5091976Z >>> 2025-12-04T09:07:23.5092204Z >>> # You can also use DispatchKey enum 2025-12-04T09:07:23.5092688Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU) 2025-12-04T09:07:23.5093144Z >>> 2025-12-04T09:07:23.5093375Z >>> # Or use an OpOverload directly 2025-12-04T09:07:23.5093809Z >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU") 2025-12-04T09:07:23.5094243Z >>> 2025-12-04T09:07:23.5094571Z >>> # Example: Using get_kernel in a custom op with conditional dispatch 2025-12-04T09:07:23.5095019Z >>> # Get the original kernel for torch.sin 2025-12-04T09:07:23.5095471Z >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU") 2025-12-04T09:07:23.5095885Z >>> 2025-12-04T09:07:23.5096232Z >>> # If input has negative values, use original sin, otherwise return zeros 2025-12-04T09:07:23.5096703Z >>> def conditional_sin_impl(dispatch_keys, x): 2025-12-04T09:07:23.5097048Z >>> if (x < 0).any(): 2025-12-04T09:07:23.5097416Z >>> return original_sin_kernel.call_boxed(dispatch_keys, x) 2025-12-04T09:07:23.5097789Z >>> else: 2025-12-04T09:07:23.5098052Z >>> return torch.zeros_like(x) 2025-12-04T09:07:23.5098358Z >>> 2025-12-04T09:07:23.5098601Z >>> lib = torch.library.Library("aten", "IMPL") 2025-12-04T09:07:23.5099102Z >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet 2025-12-04T09:07:23.5099669Z >>> which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T09:07:23.5100161Z >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True) 2025-12-04T09:07:23.5100537Z >>> 2025-12-04T09:07:23.5100767Z >>> # Test the conditional behavior 2025-12-04T09:07:23.5101107Z >>> x_positive = torch.tensor([1.0, 2.0]) 2025-12-04T09:07:23.5101438Z >>> x_mixed = torch.tensor([-1.0, 2.0]) 2025-12-04T09:07:23.5101766Z >>> torch.sin(x_positive) 2025-12-04T09:07:23.5102055Z tensor([0., 0.]) 2025-12-04T09:07:23.5102305Z >>> torch.sin(x_mixed) 2025-12-04T09:07:23.5102585Z tensor([-0.8415, 0.9093]) 2025-12-04T09:07:23.5102853Z 2025-12-04T09:07:23.5103605Z Original Error: SyntaxError('invalid syntax', ('', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12)) 2025-12-04T09:07:23.5104216Z 2025-12-04T09:07:23.5104392Z which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T09:07:23.5104881Z ^ 2025-12-04T09:07:24.0204208Z msg = Cannot scrape callname=is_available in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py line=70. 2025-12-04T09:07:24.0205122Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:24.0205727Z Check if the current accelerator is available at runtime: it was build, all the 2025-12-04T09:07:24.0206318Z required drivers are available and at least one device is visible. 2025-12-04T09:07:24.0206798Z See :ref:`accelerator` for details. 2025-12-04T09:07:24.0207050Z 2025-12-04T09:07:24.0207150Z Returns: 2025-12-04T09:07:24.0207548Z bool: A boolean indicating if there is an available :ref:`accelerator`. 2025-12-04T09:07:24.0207953Z 2025-12-04T09:07:24.0208259Z .. note:: This API delegates to the device-specific version of `is_available`. 2025-12-04T09:07:24.0208879Z On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set, 2025-12-04T09:07:24.0209513Z this function will NOT poison fork. Otherwise, it will. For more details, see 2025-12-04T09:07:24.0210023Z :ref:`multiprocessing-poison-fork-note`. 2025-12-04T09:07:24.0210284Z 2025-12-04T09:07:24.0210374Z Example:: 2025-12-04T09:07:24.0210504Z 2025-12-04T09:07:24.0210781Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:07:24.0211238Z 2025-12-04T09:07:24.0211909Z Original Error: SyntaxError('invalid syntax', ('', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78)) 2025-12-04T09:07:24.0212570Z 2025-12-04T09:07:24.0212835Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:07:24.0213312Z ^ 2025-12-04T09:07:24.0250980Z msg = Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py line=239. 2025-12-04T09:07:24.0251901Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:24.0252469Z Wait for all kernels in all streams on the given device to complete. 2025-12-04T09:07:24.0252784Z 2025-12-04T09:07:24.0252882Z Args: 2025-12-04T09:07:24.0253315Z device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match 2025-12-04T09:07:24.0253978Z the current :ref:`accelerator` device type. If not given, 2025-12-04T09:07:24.0254524Z use :func:`torch.accelerator.current_device_index` by default. 2025-12-04T09:07:24.0254828Z 2025-12-04T09:07:24.0255150Z .. note:: This function is a no-op if the current :ref:`accelerator` is not initialized. 2025-12-04T09:07:24.0255581Z 2025-12-04T09:07:24.0255667Z Example:: 2025-12-04T09:07:24.0255806Z 2025-12-04T09:07:24.0255941Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-12-04T09:07:24.0256465Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:07:24.0256992Z >>> start_event = torch.Event(enable_timing=True) 2025-12-04T09:07:24.0257363Z >>> end_event = torch.Event(enable_timing=True) 2025-12-04T09:07:24.0257711Z >>> start_event.record() 2025-12-04T09:07:24.0258142Z >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator()) 2025-12-04T09:07:24.0258592Z >>> sum = torch.sum(tensor) 2025-12-04T09:07:24.0258897Z >>> end_event.record() 2025-12-04T09:07:24.0259200Z >>> torch.accelerator.synchronize() 2025-12-04T09:07:24.0259585Z >>> elapsed_time_ms = start_event.elapsed_time(end_event) 2025-12-04T09:07:24.0259946Z 2025-12-04T09:07:24.0260874Z Original Error: SyntaxError('invalid syntax', ('', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78)) 2025-12-04T09:07:24.0261657Z 2025-12-04T09:07:24.0261929Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:07:24.0262394Z ^ 2025-12-04T09:07:24.0727980Z msg = Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py line=448. 2025-12-04T09:07:24.0728817Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:24.0729297Z Retrieves the CUDA runtime API module. 2025-12-04T09:07:24.0729510Z 2025-12-04T09:07:24.0729515Z 2025-12-04T09:07:24.0729763Z This function initializes the CUDA runtime environment if it is not already 2025-12-04T09:07:24.0730359Z initialized and returns the CUDA runtime API module (_cudart). The CUDA 2025-12-04T09:07:24.0730941Z runtime API module provides access to various CUDA runtime functions. 2025-12-04T09:07:24.0731274Z 2025-12-04T09:07:24.0731370Z Args: 2025-12-04T09:07:24.0731563Z ``None`` 2025-12-04T09:07:24.0731715Z 2025-12-04T09:07:24.0731797Z Returns: 2025-12-04T09:07:24.0732065Z module: The CUDA runtime API module (_cudart). 2025-12-04T09:07:24.0732312Z 2025-12-04T09:07:24.0732395Z Raises: 2025-12-04T09:07:24.0732747Z RuntimeError: If CUDA cannot be re-initialized in a forked subprocess. 2025-12-04T09:07:24.0733474Z AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable. 2025-12-04T09:07:24.0733947Z 2025-12-04T09:07:24.0734087Z Example of CUDA operations with profiling: 2025-12-04T09:07:24.0734409Z >>> import torch 2025-12-04T09:07:24.0734706Z >>> from torch.cuda import cudart, check_error 2025-12-04T09:07:24.0735044Z >>> import os 2025-12-04T09:07:24.0735267Z >>> 2025-12-04T09:07:24.0735509Z >>> os.environ["CUDA_PROFILE"] = "1" 2025-12-04T09:07:24.0735816Z >>> 2025-12-04T09:07:24.0736075Z >>> def perform_cuda_operations_with_streams(): 2025-12-04T09:07:24.0736431Z >>> stream = torch.cuda.Stream() 2025-12-04T09:07:24.0736769Z >>> with torch.cuda.stream(stream): 2025-12-04T09:07:24.0737125Z >>> x = torch.randn(100, 100, device='cuda') 2025-12-04T09:07:24.0737480Z >>> y = torch.randn(100, 100, device='cuda') 2025-12-04T09:07:24.0737821Z >>> z = torch.mul(x, y) 2025-12-04T09:07:24.0738120Z >>> return z 2025-12-04T09:07:24.0738349Z >>> 2025-12-04T09:07:24.0738578Z >>> torch.cuda.synchronize() 2025-12-04T09:07:24.0738919Z >>> print("====== Start nsys profiling ======") 2025-12-04T09:07:24.0739287Z >>> check_error(cudart().cudaProfilerStart()) 2025-12-04T09:07:24.0739670Z >>> with torch.autograd.profiler.emit_nvtx(): 2025-12-04T09:07:24.0740070Z >>> result = perform_cuda_operations_with_streams() 2025-12-04T09:07:24.0740457Z >>> print("CUDA operations completed.") 2025-12-04T09:07:24.0740843Z >>> check_error(torch.cuda.cudart().cudaProfilerStop()) 2025-12-04T09:07:24.0741250Z >>> print("====== End nsys profiling ======") 2025-12-04T09:07:24.0741481Z 2025-12-04T09:07:24.0741686Z To run this example and save the profiling information, execute: 2025-12-04T09:07:24.0742432Z >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T09:07:24.0743012Z 2025-12-04T09:07:24.0743253Z This command profiles the CUDA operations in the provided script and saves 2025-12-04T09:07:24.0743865Z the profiling information to a file named `trace_name.prof`. 2025-12-04T09:07:24.0744410Z The `--profile-from-start off` option ensures that profiling starts only 2025-12-04T09:07:24.0744895Z after the `cudaProfilerStart` call in the script. 2025-12-04T09:07:24.0745564Z The `--csv` and `--print-summary` options format the profiling output as a 2025-12-04T09:07:24.0746044Z CSV file and print a summary, respectively. 2025-12-04T09:07:24.0746630Z The `-o` option specifies the output file name, and the `-f` option forces the 2025-12-04T09:07:24.0747134Z overwrite of the output file if it already exists. 2025-12-04T09:07:24.0747484Z 2025-12-04T09:07:24.0748249Z Original Error: SyntaxError('invalid syntax', ('', 1, 1, '$ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py\n', 1, 2)) 2025-12-04T09:07:24.0749003Z 2025-12-04T09:07:24.0749343Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T09:07:24.0749894Z ^ 2025-12-04T09:07:25.6805580Z msg = Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=39. 2025-12-04T09:07:25.6806469Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:25.6806840Z 2025-12-04T09:07:25.6807055Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that 2025-12-04T09:07:25.6807604Z maps ``func`` over some dimension of the inputs. Semantically, vmap 2025-12-04T09:07:25.6808121Z pushes the map into PyTorch operations called by ``func``, effectively 2025-12-04T09:07:25.6808567Z vectorizing those operations. 2025-12-04T09:07:25.6808767Z 2025-12-04T09:07:25.6808978Z vmap is useful for handling batch dimensions: one can write a function 2025-12-04T09:07:25.6809504Z ``func`` that runs on examples and then lift it to a function that can 2025-12-04T09:07:25.6810013Z take batches of examples with ``vmap(func)``. vmap can also be used to 2025-12-04T09:07:25.6810506Z compute batched gradients when composed with autograd. 2025-12-04T09:07:25.6810778Z 2025-12-04T09:07:25.6810901Z .. note:: 2025-12-04T09:07:25.6811195Z :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for 2025-12-04T09:07:25.6811627Z convenience. Use whichever one you'd like. 2025-12-04T09:07:25.6811872Z 2025-12-04T09:07:25.6811953Z Args: 2025-12-04T09:07:25.6812277Z func (function): A Python function that takes one or more arguments. 2025-12-04T09:07:25.6812712Z Must return one or more Tensors. 2025-12-04T09:07:25.6813128Z in_dims (int or nested structure): Specifies which dimension of the 2025-12-04T09:07:25.6813616Z inputs should be mapped over. ``in_dims`` should have a 2025-12-04T09:07:25.6814081Z structure like the inputs. If the ``in_dim`` for a particular 2025-12-04T09:07:25.6814568Z input is None, then that indicates there is no map dimension. 2025-12-04T09:07:25.6814957Z Default: 0. 2025-12-04T09:07:25.6815294Z out_dims (int or Tuple[int]): Specifies where the mapped dimension 2025-12-04T09:07:25.6815782Z should appear in the outputs. If ``out_dims`` is a Tuple, then 2025-12-04T09:07:25.6816236Z it should have one element per output. Default: 0. 2025-12-04T09:07:25.6816686Z randomness (str): Specifies whether the randomness in this 2025-12-04T09:07:25.6817172Z vmap should be the same or different across batches. If 'different', 2025-12-04T09:07:25.6817698Z the randomness for each batch will be different. If 'same', the 2025-12-04T09:07:25.6818223Z randomness will be the same across batches. If 'error', any calls to 2025-12-04T09:07:25.6818759Z random functions will error. Default: 'error'. WARNING: this flag 2025-12-04T09:07:25.6819268Z only applies to random PyTorch operations and does not apply to 2025-12-04T09:07:25.6819717Z Python's random module or numpy randomness. 2025-12-04T09:07:25.6820182Z chunk_size (None or int): If None (default), apply a single vmap over inputs. 2025-12-04T09:07:25.6820726Z If not None, then compute the vmap :attr:`chunk_size` samples at a time. 2025-12-04T09:07:25.6821309Z Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop. 2025-12-04T09:07:25.6822216Z If you run into memory issues computing the vmap, please try a non-None chunk_size. 2025-12-04T09:07:25.6822679Z 2025-12-04T09:07:25.6822880Z Returns: 2025-12-04T09:07:25.6823188Z Returns a new "batched" function. It takes the same inputs as 2025-12-04T09:07:25.6823733Z ``func``, except each input has an extra dimension at the index 2025-12-04T09:07:25.6824219Z specified by ``in_dims``. It takes returns the same outputs as 2025-12-04T09:07:25.6824702Z ``func``, except each output has an extra dimension at the index 2025-12-04T09:07:25.6825092Z specified by ``out_dims``. 2025-12-04T09:07:25.6825286Z 2025-12-04T09:07:25.6825368Z .. warning: 2025-12-04T09:07:25.6825690Z :func:`vmap` works best with functional-style code. Please do not 2025-12-04T09:07:25.6826189Z perform any side-effects in ``func``, with the exception of 2025-12-04T09:07:25.6826703Z in-place PyTorch operations. Examples of side-effects include mutating 2025-12-04T09:07:25.6827281Z Python data structures and assigning values to variables not captured 2025-12-04T09:07:25.6827710Z in ``func``. 2025-12-04T09:07:25.6827845Z 2025-12-04T09:07:25.6828077Z One example of using :func:`vmap` is to compute batched dot products. PyTorch 2025-12-04T09:07:25.6828642Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully 2025-12-04T09:07:25.6829193Z rummaging through docs, use :func:`vmap` to construct a new function. 2025-12-04T09:07:25.6829520Z 2025-12-04T09:07:25.6829650Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:07:25.6830040Z >>> batched_dot = torch.func.vmap(torch.dot) # [N, D], [N, D] -> [N] 2025-12-04T09:07:25.6830481Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T09:07:25.6830812Z >>> batched_dot(x, y) 2025-12-04T09:07:25.6830974Z 2025-12-04T09:07:25.6831194Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler 2025-12-04T09:07:25.6831639Z model authoring experience. 2025-12-04T09:07:25.6831826Z 2025-12-04T09:07:25.6831936Z >>> batch_size, feature_size = 3, 5 2025-12-04T09:07:25.6832320Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T09:07:25.6832686Z >>> 2025-12-04T09:07:25.6832901Z >>> def model(feature_vec): 2025-12-04T09:07:25.6833215Z >>> # Very simple linear model with activation 2025-12-04T09:07:25.6833564Z >>> return feature_vec.dot(weights).relu() 2025-12-04T09:07:25.6833883Z >>> 2025-12-04T09:07:25.6834145Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T09:07:25.6834508Z >>> result = torch.vmap(model)(examples) 2025-12-04T09:07:25.6834740Z 2025-12-04T09:07:25.6834985Z :func:`vmap` can also help vectorize computations that were previously difficult 2025-12-04T09:07:25.6835578Z or impossible to batch. One example is higher-order gradient computation. 2025-12-04T09:07:25.6836148Z The PyTorch autograd engine computes vjps (vector-Jacobian products). 2025-12-04T09:07:25.6836704Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually 2025-12-04T09:07:25.6837295Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`, 2025-12-04T09:07:25.6837895Z we can vectorize the whole computation, computing the Jacobian in a single 2025-12-04T09:07:25.6838336Z call to ``autograd.grad``. 2025-12-04T09:07:25.6838517Z 2025-12-04T09:07:25.6838600Z >>> # Setup 2025-12-04T09:07:25.6838818Z >>> N = 5 2025-12-04T09:07:25.6839026Z >>> f = lambda x: x**2 2025-12-04T09:07:25.6839313Z >>> x = torch.randn(N, requires_grad=True) 2025-12-04T09:07:25.6839630Z >>> y = f(x) 2025-12-04T09:07:25.6839858Z >>> I_N = torch.eye(N) 2025-12-04T09:07:25.6840094Z >>> 2025-12-04T09:07:25.6840309Z >>> # Sequential approach 2025-12-04T09:07:25.6840708Z >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0] 2025-12-04T09:07:25.6841132Z >>> for v in I_N.unbind()] 2025-12-04T09:07:25.6841470Z >>> jacobian = torch.stack(jacobian_rows) 2025-12-04T09:07:25.6841778Z >>> 2025-12-04T09:07:25.6842081Z >>> # vectorized gradient computation 2025-12-04T09:07:25.6842416Z >>> def get_vjp(v): 2025-12-04T09:07:25.6842769Z >>> return torch.autograd.grad(y, x, v) 2025-12-04T09:07:25.6843122Z >>> jacobian = torch.vmap(get_vjp)(I_N) 2025-12-04T09:07:25.6843343Z 2025-12-04T09:07:25.6843601Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions 2025-12-04T09:07:25.6843991Z 2025-12-04T09:07:25.6844093Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:07:25.6844419Z >>> batched_dot = torch.vmap( 2025-12-04T09:07:25.6844723Z ... torch.vmap(torch.dot) 2025-12-04T09:07:25.6845023Z ... ) # [N1, N0, D], [N1, N0, D] -> [N1, N0] 2025-12-04T09:07:25.6845390Z >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5) 2025-12-04T09:07:25.6845766Z >>> batched_dot(x, y) # tensor of size [2, 3] 2025-12-04T09:07:25.6845997Z 2025-12-04T09:07:25.6846229Z If the inputs are not batched along the first dimension, ``in_dims`` specifies 2025-12-04T09:07:25.6846749Z the dimension that each inputs are batched along as 2025-12-04T09:07:25.6847022Z 2025-12-04T09:07:25.6847124Z >>> torch.dot # [N], [N] -> [] 2025-12-04T09:07:25.6847546Z >>> batched_dot = torch.vmap(torch.dot, in_dims=1) # [N, D], [N, D] -> [D] 2025-12-04T09:07:25.6847995Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T09:07:25.6848322Z >>> batched_dot( 2025-12-04T09:07:25.6848560Z ... x, y 2025-12-04T09:07:25.6848869Z ... ) # output is [5] instead of [2] if batched along the 0th dimension 2025-12-04T09:07:25.6849194Z 2025-12-04T09:07:25.6849453Z If there are multiple inputs each of which is batched along different dimensions, 2025-12-04T09:07:25.6850028Z ``in_dims`` must be a tuple with the batch dimension for each input as 2025-12-04T09:07:25.6850337Z 2025-12-04T09:07:25.6850451Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:07:25.6850867Z >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None)) # [N, D], [D] -> [N] 2025-12-04T09:07:25.6851340Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T09:07:25.6851654Z >>> batched_dot( 2025-12-04T09:07:25.6851879Z ... x, y 2025-12-04T09:07:25.6852201Z ... ) # second arg doesn't have a batch dim because in_dim[1] was None 2025-12-04T09:07:25.6852502Z 2025-12-04T09:07:25.6852745Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct 2025-12-04T09:07:25.6853204Z matching the shape of the input: 2025-12-04T09:07:25.6853397Z 2025-12-04T09:07:25.6853534Z >>> f = lambda dict: torch.dot(dict["x"], dict["y"]) 2025-12-04T09:07:25.6853901Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T09:07:25.6854231Z >>> input = {"x": x, "y": y} 2025-12-04T09:07:25.6854580Z >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},)) 2025-12-04T09:07:25.6854966Z >>> batched_dot(input) 2025-12-04T09:07:25.6855132Z 2025-12-04T09:07:25.6855411Z By default, the output is batched along the first dimension. However, it can be batched 2025-12-04T09:07:25.6855928Z along any dimension by using ``out_dims`` 2025-12-04T09:07:25.6856153Z 2025-12-04T09:07:25.6856245Z >>> f = lambda x: x**2 2025-12-04T09:07:25.6856516Z >>> x = torch.randn(2, 5) 2025-12-04T09:07:25.6856819Z >>> batched_pow = torch.vmap(f, out_dims=1) 2025-12-04T09:07:25.6857141Z >>> batched_pow(x) # [5, 2] 2025-12-04T09:07:25.6857333Z 2025-12-04T09:07:25.6857614Z For any function that uses kwargs, the returned function will not batch the kwargs but will 2025-12-04T09:07:25.6858109Z accept kwargs 2025-12-04T09:07:25.6858239Z 2025-12-04T09:07:25.6858347Z >>> x = torch.randn([2, 5]) 2025-12-04T09:07:25.6858616Z >>> def fn(x, scale=4.): 2025-12-04T09:07:25.6858888Z >>> return x * scale 2025-12-04T09:07:25.6859137Z >>> 2025-12-04T09:07:25.6859344Z >>> batched_pow = torch.vmap(fn) 2025-12-04T09:07:25.6859689Z >>> assert torch.allclose(batched_pow(x), x * 4) 2025-12-04T09:07:25.6860241Z >>> batched_pow(x, scale=x) # scale is not batched, output has shape [2, 2, 5] 2025-12-04T09:07:25.6860587Z 2025-12-04T09:07:25.6860685Z .. note:: 2025-12-04T09:07:25.6861027Z vmap does not provide general autobatching or handle variable-length 2025-12-04T09:07:25.6861553Z sequences out of the box. 2025-12-04T09:07:25.6861742Z 2025-12-04T09:07:25.6862273Z Original Error: IndentationError('expected an indented block after function definition on line 4', ('', 5, 1, '_._ = None\n', 5, 2)) 2025-12-04T09:07:25.6862900Z 2025-12-04T09:07:25.6862983Z _._ = None 2025-12-04T09:07:25.6863192Z ^ 2025-12-04T09:07:25.6863890Z msg = Cannot scrape callname=grad in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=306. 2025-12-04T09:07:25.6864721Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:25.6865307Z ``grad`` operator helps computing gradients of ``func`` with respect to the 2025-12-04T09:07:25.6865862Z input(s) specified by ``argnums``. This operator can be nested to 2025-12-04T09:07:25.6866287Z compute higher-order gradients. 2025-12-04T09:07:25.6866492Z 2025-12-04T09:07:25.6866590Z Args: 2025-12-04T09:07:25.6866909Z func (Callable): A Python function that takes one or more arguments. 2025-12-04T09:07:25.6867495Z Must return a single-element Tensor. If specified ``has_aux`` equals ``True``, 2025-12-04T09:07:25.6868132Z function can return a tuple of single-element Tensor and other auxiliary objects: 2025-12-04T09:07:25.6868597Z ``(output, aux)``. 2025-12-04T09:07:25.6869049Z argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to. 2025-12-04T09:07:25.6869637Z ``argnums`` can be single integer or tuple of integers. Default: 0. 2025-12-04T09:07:25.6870375Z has_aux (bool): Flag indicating that ``func`` returns a tensor and other 2025-12-04T09:07:25.6870860Z auxiliary objects: ``(output, aux)``. Default: False. 2025-12-04T09:07:25.6871146Z 2025-12-04T09:07:25.6871235Z Returns: 2025-12-04T09:07:25.6871640Z Function to compute gradients with respect to its inputs. By default, the output of 2025-12-04T09:07:25.6872259Z the function is the gradient tensor(s) with respect to the first argument. 2025-12-04T09:07:25.6872879Z If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects 2025-12-04T09:07:25.6873504Z is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with 2025-12-04T09:07:25.6874008Z respect to each ``argnums`` value is returned. 2025-12-04T09:07:25.6874254Z 2025-12-04T09:07:25.6874354Z Example of using ``grad``: 2025-12-04T09:07:25.6874546Z 2025-12-04T09:07:25.6874642Z >>> # xdoctest: +SKIP 2025-12-04T09:07:25.6874931Z >>> from torch.func import grad 2025-12-04T09:07:25.6875231Z >>> x = torch.randn([]) 2025-12-04T09:07:25.6875536Z >>> cos_x = grad(lambda x: torch.sin(x))(x) 2025-12-04T09:07:25.6875900Z >>> assert torch.allclose(cos_x, x.cos()) 2025-12-04T09:07:25.6876226Z >>> 2025-12-04T09:07:25.6876441Z >>> # Second-order gradients 2025-12-04T09:07:25.6876797Z >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x) 2025-12-04T09:07:25.6877201Z >>> assert torch.allclose(neg_sin_x, -x.sin()) 2025-12-04T09:07:25.6877439Z 2025-12-04T09:07:25.6877684Z When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients: 2025-12-04T09:07:25.6878058Z 2025-12-04T09:07:25.6878154Z >>> # xdoctest: +SKIP 2025-12-04T09:07:25.6878451Z >>> from torch.func import grad, vmap 2025-12-04T09:07:25.6878790Z >>> batch_size, feature_size = 3, 5 2025-12-04T09:07:25.6879079Z >>> 2025-12-04T09:07:25.6879312Z >>> def model(weights, feature_vec): 2025-12-04T09:07:25.6879661Z >>> # Very simple linear model with activation 2025-12-04T09:07:25.6880001Z >>> assert feature_vec.dim() == 1 2025-12-04T09:07:25.6880487Z >>> return feature_vec.dot(weights).relu() 2025-12-04T09:07:25.6880816Z >>> 2025-12-04T09:07:25.6881065Z >>> def compute_loss(weights, example, target): 2025-12-04T09:07:25.6881504Z >>> y = model(weights, example) 2025-12-04T09:07:25.6881858Z >>> return ((y - target) ** 2).mean() # MSELoss 2025-12-04T09:07:25.6882174Z >>> 2025-12-04T09:07:25.6882473Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T09:07:25.6882912Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T09:07:25.6883294Z >>> targets = torch.randn(batch_size) 2025-12-04T09:07:25.6883633Z >>> inputs = (weights, examples, targets) 2025-12-04T09:07:25.6884100Z >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))( 2025-12-04T09:07:25.6884546Z ... *inputs 2025-12-04T09:07:25.6884776Z ... ) 2025-12-04T09:07:25.6884913Z 2025-12-04T09:07:25.6885090Z Example of using ``grad`` with ``has_aux`` and ``argnums``: 2025-12-04T09:07:25.6885376Z 2025-12-04T09:07:25.6885486Z >>> # xdoctest: +SKIP 2025-12-04T09:07:25.6885840Z >>> from torch.func import grad 2025-12-04T09:07:25.6886148Z >>> def my_loss_func(y, y_pred): 2025-12-04T09:07:25.6886487Z >>> loss_per_sample = (0.5 * y_pred - y) ** 2 2025-12-04T09:07:25.6886843Z >>> loss = loss_per_sample.mean() 2025-12-04T09:07:25.6887181Z >>> return loss, (y_pred, loss_per_sample) 2025-12-04T09:07:25.6887500Z >>> 2025-12-04T09:07:25.6887766Z >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True) 2025-12-04T09:07:25.6888115Z >>> y_true = torch.rand(4) 2025-12-04T09:07:25.6888440Z >>> y_preds = torch.rand(4, requires_grad=True) 2025-12-04T09:07:25.6888786Z >>> out = fn(y_true, y_preds) 2025-12-04T09:07:25.6889218Z >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample)) 2025-12-04T09:07:25.6889583Z 2025-12-04T09:07:25.6889677Z .. note:: 2025-12-04T09:07:25.6889970Z Using PyTorch ``torch.no_grad`` together with ``grad``. 2025-12-04T09:07:25.6890253Z 2025-12-04T09:07:25.6890409Z Case 1: Using ``torch.no_grad`` inside a function: 2025-12-04T09:07:25.6890661Z 2025-12-04T09:07:25.6890760Z >>> # xdoctest: +SKIP 2025-12-04T09:07:25.6891042Z >>> def f(x): 2025-12-04T09:07:25.6891305Z >>> with torch.no_grad(): 2025-12-04T09:07:25.6891599Z >>> c = x ** 2 2025-12-04T09:07:25.6891887Z >>> return x - c 2025-12-04T09:07:25.6892082Z 2025-12-04T09:07:25.6892272Z In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``. 2025-12-04T09:07:25.6892580Z 2025-12-04T09:07:25.6892773Z Case 2: Using ``grad`` inside ``torch.no_grad`` context manager: 2025-12-04T09:07:25.6893069Z 2025-12-04T09:07:25.6893167Z >>> # xdoctest: +SKIP 2025-12-04T09:07:25.6893468Z >>> with torch.no_grad(): 2025-12-04T09:07:25.6893774Z >>> grad(f)(x) 2025-12-04T09:07:25.6893948Z 2025-12-04T09:07:25.6894174Z In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the 2025-12-04T09:07:25.6894724Z outer one. This is because ``grad`` is a "function transform": its result 2025-12-04T09:07:25.6895275Z should not depend on the result of a context manager outside of ``f``. 2025-12-04T09:07:25.6895605Z 2025-12-04T09:07:25.6895695Z 2025-12-04T09:07:25.6896310Z Original Error: IndentationError('expected an indented block after function definition on line 5', ('', 6, 1, '_._ = None\n', 6, 2)) 2025-12-04T09:07:25.6896947Z 2025-12-04T09:07:25.6897026Z _._ = None 2025-12-04T09:07:25.6897228Z ^ 2025-12-04T09:07:29.3124716Z msg = Cannot scrape callname=CustomOpDef.register_fake in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py line=402. 2025-12-04T09:07:29.3126016Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:29.3126558Z Register a FakeTensor implementation for this custom op. 2025-12-04T09:07:29.3126858Z 2025-12-04T09:07:29.3127224Z This is necessary to get the operator to work efficiently with torch.compile. 2025-12-04T09:07:29.3127591Z 2025-12-04T09:07:29.3127822Z The Fake impl (sometimes also known as a meta kernel or abstract impl) 2025-12-04T09:07:29.3128371Z specifies the behavior of this operator on Tensors that carry no data. 2025-12-04T09:07:29.3128870Z Given some input Tensors with certain properties 2025-12-04T09:07:29.3129385Z (sizes/strides/storage_offset/device), it specifies what the properties of 2025-12-04T09:07:29.3129860Z the output Tensors are. 2025-12-04T09:07:29.3130044Z 2025-12-04T09:07:29.3130248Z Please see :func:`torch.library.register_fake` for more details. 2025-12-04T09:07:29.3130575Z 2025-12-04T09:07:29.3130658Z Args: 2025-12-04T09:07:29.3130964Z fn (Callable): The function to register as the FakeTensor 2025-12-04T09:07:29.3131350Z implementation. 2025-12-04T09:07:29.3131531Z 2025-12-04T09:07:29.3131621Z Examples: 2025-12-04T09:07:29.3131854Z >>> import torch 2025-12-04T09:07:29.3132128Z >>> import numpy as np 2025-12-04T09:07:29.3132418Z >>> from torch import Tensor 2025-12-04T09:07:29.3132713Z >>> 2025-12-04T09:07:29.3133033Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T09:07:29.3133546Z >>> @torch.library.custom_op("mylib::linear", mutates_args=()) 2025-12-04T09:07:29.3134043Z >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T09:07:29.3134465Z >>> return (x @ weight.t()) + bias 2025-12-04T09:07:29.3134805Z >>> 2025-12-04T09:07:29.3135032Z >>> @linear.register_fake 2025-12-04T09:07:29.3135340Z >>> def _(x, weight, bias): 2025-12-04T09:07:29.3135655Z >>> assert x.dim() == 2 2025-12-04T09:07:29.3135966Z >>> assert weight.dim() == 2 2025-12-04T09:07:29.3136294Z >>> assert bias.dim() == 1 2025-12-04T09:07:29.3136641Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T09:07:29.3137009Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T09:07:29.3137363Z >>> assert x.device == weight.device 2025-12-04T09:07:29.3137740Z >>> return x.new_empty(x.size(0), weight.size(0)) 2025-12-04T09:07:29.3138082Z >>> 2025-12-04T09:07:29.3138303Z >>> x = torch.randn(2, 2) 2025-12-04T09:07:29.3138615Z >>> weight = torch.randn(2, 2) 2025-12-04T09:07:29.3138937Z >>> bias = torch.randn(2) 2025-12-04T09:07:29.3139264Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:07:29.3139701Z >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias) 2025-12-04T09:07:29.3140153Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:07:29.3140644Z >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias)) 2025-12-04T09:07:29.3141090Z >>> 2025-12-04T09:07:29.3141399Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T09:07:29.3142003Z >>> @torch.library.custom_op("mylib::nonzero", mutates_args=()) 2025-12-04T09:07:29.3142455Z >>> def nonzero(x: Tensor) -> Tensor: 2025-12-04T09:07:29.3142802Z >>> x_np = x.cpu().numpy() 2025-12-04T09:07:29.3143138Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T09:07:29.3143627Z >>> return torch.tensor(res, device=x.device) 2025-12-04T09:07:29.3143968Z >>> 2025-12-04T09:07:29.3144200Z >>> @nonzero.register_fake 2025-12-04T09:07:29.3144508Z >>> def _(x): 2025-12-04T09:07:29.3144828Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T09:07:29.3145363Z >>> # Since we cannot peek at the data in an abstract impl, 2025-12-04T09:07:29.3145794Z >>> # we use the ctx object to construct a new symint that 2025-12-04T09:07:29.3146275Z >>> # represents the data-dependent size. 2025-12-04T09:07:29.3146643Z >>> ctx = torch.library.get_ctx() 2025-12-04T09:07:29.3146979Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T09:07:29.3147314Z >>> shape = [nnz, x.dim()] 2025-12-04T09:07:29.3147680Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T09:07:29.3148027Z >>> return result 2025-12-04T09:07:29.3148303Z >>> 2025-12-04T09:07:29.3148554Z >>> x = torch.tensor([0, 1, 2, 0, 0, 1]) 2025-12-04T09:07:29.3148916Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:07:29.3149299Z >>> out = torch.compile(nonzero, fullgraph=True)(x) 2025-12-04T09:07:29.3149705Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:07:29.3150078Z >>> assert torch.allclose(out, x.nonzero()) 2025-12-04T09:07:29.3150315Z 2025-12-04T09:07:29.3150394Z 2025-12-04T09:07:29.3151037Z Original Error: IndentationError('expected an indented block after function definition on line 36', ('', 37, 1, '_._ = None\n', 37, 2)) 2025-12-04T09:07:29.3151685Z 2025-12-04T09:07:29.3151766Z _._ = None 2025-12-04T09:07:29.3151968Z ^ 2025-12-04T09:07:29.3411639Z msg = Cannot scrape callname=unsafe_generate_fake_kernels in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_profile.py line=94. 2025-12-04T09:07:29.3412632Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-12-04T09:07:29.3413008Z 2025-12-04T09:07:29.3413232Z Registers a fake kernel based on the given operator profiles. This fake 2025-12-04T09:07:29.3413818Z kernel registration will override any existing fake kernel registrations. 2025-12-04T09:07:29.3414205Z 2025-12-04T09:07:29.3414413Z The input is a dictionary mapping operator names to a set of operator 2025-12-04T09:07:29.3414969Z profiles, which we will use to generate fake kernels. The operator profiles 2025-12-04T09:07:29.3415513Z are a record of the input and output tensor metadata. Based on this 2025-12-04T09:07:29.3416067Z information we will match a given input to the recorded profile, and return 2025-12-04T09:07:29.3416642Z an output with the same metadata as in the recorded profile. If a profile 2025-12-04T09:07:29.3417116Z doesn't exist then an exception will be thrown. 2025-12-04T09:07:29.3417362Z 2025-12-04T09:07:29.3417584Z The fake kernel generation is considered unsafe because it relies on the 2025-12-04T09:07:29.3418152Z rigid, pre-defined operator profiles that do not account for potential 2025-12-04T09:07:29.3418742Z variations in output behavior. Specifically, the generated kernels assume a 2025-12-04T09:07:29.3419347Z fixed relationship between input and output ranks. However, in reality, it's 2025-12-04T09:07:29.3419953Z possible that data-dependent operations may produce outputs of different 2025-12-04T09:07:29.3420531Z ranks even when given inputs of the same rank. The generated fake kernels 2025-12-04T09:07:29.3421079Z are inflexible and unable to accommodate these nuances, making them 2025-12-04T09:07:29.3421487Z potentially unsafe. 2025-12-04T09:07:29.3421643Z 2025-12-04T09:07:29.3421722Z Args: 2025-12-04T09:07:29.3422050Z op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator 2025-12-04T09:07:29.3422570Z name to a set of operator profiles from which we will generate fake 2025-12-04T09:07:29.3422969Z kernels. 2025-12-04T09:07:29.3423101Z 2025-12-04T09:07:29.3423218Z Examples: 2025-12-04T09:07:29.3423333Z 2025-12-04T09:07:29.3423565Z >>> # Example: Registering an op-profile from draft-export 2025-12-04T09:07:29.3423975Z >>> import torch 2025-12-04T09:07:29.3424289Z >>> from torch.export._draft_export import draft_export 2025-12-04T09:07:29.3424820Z >>> 2025-12-04T09:07:29.3425126Z >>> @torch.library.custom_op("mylib::foo", mutates_args=()) 2025-12-04T09:07:29.3425644Z >>> def foo(x: Tensor, y: Tensor) -> Tensor: 2025-12-04T09:07:29.3425973Z >>> return x + y 2025-12-04T09:07:29.3426208Z >>> 2025-12-04T09:07:29.3426430Z >>> class M(torch.nn.Module): 2025-12-04T09:07:29.3426730Z >>> def forward(self, a, b): 2025-12-04T09:07:29.3427080Z >>> res = torch.ops.mylib.foo(a, b) # no fake impl 2025-12-04T09:07:29.3427418Z >>> return res 2025-12-04T09:07:29.3427665Z >>> 2025-12-04T09:07:29.3427946Z >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4)) 2025-12-04T09:07:29.3428300Z >>> 2025-12-04T09:07:29.3428705Z >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles): 2025-12-04T09:07:29.3429239Z >>> decomp = ep.run_decompositions() 2025-12-04T09:07:29.3429458Z 2025-12-04T09:07:29.3429463Z 2025-12-04T09:07:29.3429950Z Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced') 2025-12-04T09:07:29.3430538Z 2025-12-04T09:07:30.0000442Z msg = Cannot scrape callname=ActivationSparsifier in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py line=16. 2025-12-04T09:07:30.0001636Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:30.0002008Z 2025-12-04T09:07:30.0002269Z The Activation sparsifier class aims to sparsify/prune activations in a neural 2025-12-04T09:07:30.0002868Z network. The idea is to attach the sparsifier to a layer (or layers) and it 2025-12-04T09:07:30.0003444Z zeroes out the activations based on the mask_fn (or sparsification function) 2025-12-04T09:07:30.0003949Z input by the user. 2025-12-04T09:07:30.0004318Z The mask_fn is applied once all the inputs are aggregated and reduced i.e. 2025-12-04T09:07:30.0004862Z mask = mask_fn(reduce_fn(aggregate_fn(activations))) 2025-12-04T09:07:30.0005121Z 2025-12-04T09:07:30.0005246Z Note:: 2025-12-04T09:07:30.0005681Z The sparsification mask is computed on the input **before it goes through the attached layer**. 2025-12-04T09:07:30.0006123Z 2025-12-04T09:07:30.0006203Z Args: 2025-12-04T09:07:30.0006415Z model (nn.Module): 2025-12-04T09:07:30.0006782Z The model whose layers will be sparsified. The layers that needs to be 2025-12-04T09:07:30.0007361Z sparsified should be added separately using the register_layer() function 2025-12-04T09:07:30.0007831Z aggregate_fn (Optional, Callable): 2025-12-04T09:07:30.0008299Z default aggregate_fn that is used if not specified while registering the layer. 2025-12-04T09:07:30.0016727Z specifies how inputs should be aggregated over time. 2025-12-04T09:07:30.0017327Z The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor. 2025-12-04T09:07:30.0017839Z Example 2025-12-04T09:07:30.0018198Z def add_agg_fn(tensor1, tensor2): return tensor1 + tensor2 2025-12-04T09:07:30.0018677Z reduce_fn (Optional, Callable): 2025-12-04T09:07:30.0019158Z default reduce_fn that is used if not specified while registering the layer. 2025-12-04T09:07:30.0019763Z reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after 2025-12-04T09:07:30.0020256Z calling agg_fn() on all inputs. 2025-12-04T09:07:30.0020574Z Example 2025-12-04T09:07:30.0020930Z def mean_reduce_fn(agg_tensor): return agg_tensor.mean(dim=0) 2025-12-04T09:07:30.0021347Z mask_fn (Optional, Callable): 2025-12-04T09:07:30.0021877Z default mask_fn that is used to create the sparsification mask using the tensor obtained after 2025-12-04T09:07:30.0022560Z calling the reduce_fn(). This is used by default if a custom one is passed in the 2025-12-04T09:07:30.0023214Z register_layer(). 2025-12-04T09:07:30.0023845Z Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config 2025-12-04T09:07:30.0024523Z arguments. 2025-12-04T09:07:30.0024805Z features (Optional, list): 2025-12-04T09:07:30.0025134Z default selected features to sparsify. 2025-12-04T09:07:30.0025644Z If this is non-empty, then the mask_fn will be applied for each feature of the input. 2025-12-04T09:07:30.0026123Z For example, 2025-12-04T09:07:30.0026536Z mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features] 2025-12-04T09:07:30.0027016Z feature_dim (Optional, int): 2025-12-04T09:07:30.0027508Z default dimension of input features. Again, features along this dim will be chosen 2025-12-04T09:07:30.0028003Z for sparsification. 2025-12-04T09:07:30.0028300Z sparse_config (Dict): 2025-12-04T09:07:30.0028712Z Default configuration for the mask_fn. This config will be passed 2025-12-04T09:07:30.0029151Z with the mask_fn() 2025-12-04T09:07:30.0029343Z 2025-12-04T09:07:30.0029428Z Example: 2025-12-04T09:07:30.0029650Z >>> # xdoctest: +SKIP 2025-12-04T09:07:30.0029923Z >>> model = SomeModel() 2025-12-04T09:07:30.0030331Z >>> act_sparsifier = ActivationSparsifier(...) # init activation sparsifier 2025-12-04T09:07:30.0030799Z >>> # Initialize aggregate_fn 2025-12-04T09:07:30.0031092Z >>> def agg_fn(x, y): 2025-12-04T09:07:30.0031339Z >>> return x + y 2025-12-04T09:07:30.0031597Z >>> 2025-12-04T09:07:30.0031816Z >>> # Initialize reduce_fn 2025-12-04T09:07:30.0032091Z >>> def reduce_fn(x): 2025-12-04T09:07:30.0032360Z >>> return torch.mean(x, dim=0) 2025-12-04T09:07:30.0032655Z >>> 2025-12-04T09:07:30.0032856Z >>> # Initialize mask_fn 2025-12-04T09:07:30.0033133Z >>> def mask_fn(data): 2025-12-04T09:07:30.0033449Z >>> return torch.eye(data.shape).to(data.device) 2025-12-04T09:07:30.0033773Z >>> 2025-12-04T09:07:30.0033971Z >>> 2025-12-04T09:07:30.0034199Z >>> act_sparsifier.register_layer( 2025-12-04T09:07:30.0034501Z ... model.some_layer, 2025-12-04T09:07:30.0034780Z ... aggregate_fn=agg_fn, 2025-12-04T09:07:30.0035066Z ... reduce_fn=reduce_fn, 2025-12-04T09:07:30.0035334Z ... mask_fn=mask_fn, 2025-12-04T09:07:30.0035591Z ... ) 2025-12-04T09:07:30.0035792Z >>> 2025-12-04T09:07:30.0035996Z >>> # start training process 2025-12-04T09:07:30.0036273Z >>> for _ in [...]: 2025-12-04T09:07:30.0036521Z >>> # epoch starts 2025-12-04T09:07:30.0036828Z >>> # model.forward(), compute_loss() and model.backwards() 2025-12-04T09:07:30.0037200Z >>> # epoch ends 2025-12-04T09:07:30.0037455Z >>> act_sparsifier.step() 2025-12-04T09:07:30.0037742Z >>> # end training process 2025-12-04T09:07:30.0038037Z >>> sparsifier.squash_mask() 2025-12-04T09:07:30.0038241Z 2025-12-04T09:07:30.0038741Z Original Error: IndentationError("expected an indented block after 'for' statement on line 25", ('', 26, 1, '_._ = None\n', 26, 2)) 2025-12-04T09:07:30.0039353Z 2025-12-04T09:07:30.0039447Z _._ = None 2025-12-04T09:07:30.0039637Z ^ 2025-12-04T09:07:30.9708128Z msg = Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py line=547. 2025-12-04T09:07:30.9709111Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:30.9709472Z 2025-12-04T09:07:30.9709751Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh. 2025-12-04T09:07:30.9710404Z The submesh created consists of the dimensions and the communicators indicated by 2025-12-04T09:07:30.9710883Z ``mesh_dim_names`` 2025-12-04T09:07:30.9711025Z 2025-12-04T09:07:30.9711116Z Args: 2025-12-04T09:07:30.9711727Z mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the 2025-12-04T09:07:30.9712286Z mesh dimension of the DeviceMesh to create the submesh for. 2025-12-04T09:07:30.9712816Z Returns: 2025-12-04T09:07:30.9713030Z A :class:`DeviceMesh` object 2025-12-04T09:07:30.9713235Z 2025-12-04T09:07:30.9713513Z The following program runs on each process/rank in an SPMD manner in a world size of 8. 2025-12-04T09:07:30.9714019Z In the first example: 2025-12-04T09:07:30.9714432Z Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]). 2025-12-04T09:07:30.9715036Z Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of DeviceMesh:([4, 5, 6, 7]). 2025-12-04T09:07:30.9715628Z Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of DeviceMesh:([0, 4]). 2025-12-04T09:07:30.9716195Z Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of DeviceMesh:([1, 5]). 2025-12-04T09:07:30.9716759Z Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of DeviceMesh:([2, 6]). 2025-12-04T09:07:30.9717304Z Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of DeviceMesh:([3, 7]). 2025-12-04T09:07:30.9717655Z 2025-12-04T09:07:30.9717749Z In the second example: 2025-12-04T09:07:30.9718173Z Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]). 2025-12-04T09:07:30.9718805Z Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]). 2025-12-04T09:07:30.9719445Z Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]). 2025-12-04T09:07:30.9720086Z Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]). 2025-12-04T09:07:30.9720460Z 2025-12-04T09:07:30.9720589Z Example:: 2025-12-04T09:07:30.9720707Z 2025-12-04T09:07:30.9720809Z >>> # xdoctest: +SKIP("no rank") 2025-12-04T09:07:30.9721182Z >>> from torch.distributed.device_mesh import DeviceMesh 2025-12-04T09:07:30.9721553Z >>> 2025-12-04T09:07:30.9721859Z >>> # Initialize a 2D device mesh as (2, 4) to represent the topology 2025-12-04T09:07:30.9722323Z >>> # of cross-host(dim 0), and within-host (dim 1). 2025-12-04T09:07:30.9722827Z >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T09:07:30.9723306Z >>> tp_mesh = mesh_2d["tp"] 2025-12-04T09:07:30.9723582Z >>> dp_mesh = mesh_2d["dp"] 2025-12-04T09:07:30.9723852Z >>> 2025-12-04T09:07:30.9724071Z >>> # Initialize a 3D mesh. 2025-12-04T09:07:30.9724518Z >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp")) 2025-12-04T09:07:30.9725243Z >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh. 2025-12-04T09:07:30.9725772Z >>> dp_cp_mesh = mesh_3d["dp", "cp"] 2025-12-04T09:07:30.9726096Z >>> cp_dp_mesh = mesh_3d["cp", "dp"] 2025-12-04T09:07:30.9726307Z 2025-12-04T09:07:30.9726991Z Original Error: SyntaxError('positional argument follows keyword argument', ('', 6, 82, 'mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))\n', 6, 83)) 2025-12-04T09:07:30.9727783Z 2025-12-04T09:07:30.9728021Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T09:07:30.9728508Z ^ 2025-12-04T09:07:31.6138032Z msg = Cannot scrape callname=SavePlanner in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/planner.py line=122. 2025-12-04T09:07:31.6139018Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:31.6139378Z 2025-12-04T09:07:31.6139674Z Abstract class defining the protocol used by save_state_dict to plan the save process. 2025-12-04T09:07:31.6140079Z 2025-12-04T09:07:31.6140367Z SavePlanners are stateful objects that can be used to customize the whole save process. 2025-12-04T09:07:31.6141035Z 2025-12-04T09:07:31.6141311Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T09:07:31.6141926Z will be visible to the whole process. 2025-12-04T09:07:31.6142139Z 2025-12-04T09:07:31.6142424Z A planner subclass can expect the following sequence of calls during save_state_dict: 2025-12-04T09:07:31.6142813Z 2025-12-04T09:07:31.6142933Z 1) set_up_planner - called on all ranks. 2025-12-04T09:07:31.6143283Z Signals the start of a checkpoint save. 2025-12-04T09:07:31.6143601Z 2025-12-04T09:07:31.6143719Z 2) create_local_plan - called on all ranks. 2025-12-04T09:07:31.6144234Z Process the state_dict and produces a `SavePlan` that will be sent for global planning. 2025-12-04T09:07:31.6144632Z 2025-12-04T09:07:31.6144811Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T09:07:31.6145300Z Takes the SavePlan from all ranks and make any global decision. 2025-12-04T09:07:31.6145607Z 2025-12-04T09:07:31.6145736Z 4) finish_plan - called on all ranks. 2025-12-04T09:07:31.6146148Z This gives each rank a chance to adjust to global planning decisions. 2025-12-04T09:07:31.6146490Z 2025-12-04T09:07:31.6146639Z 5) resolve_data - called multiple times on each rank 2025-12-04T09:07:31.6147099Z Lookups a value on the `state_dict` for the storage layer to write. 2025-12-04T09:07:31.6147411Z 2025-12-04T09:07:31.6147717Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as 2025-12-04T09:07:31.6148302Z most changes can be expressed by changes in a single method. 2025-12-04T09:07:31.6148600Z 2025-12-04T09:07:31.6148716Z There are 3 usual patterns of extension: 2025-12-04T09:07:31.6148947Z 2025-12-04T09:07:31.6149192Z Rewriting state_dict. This is the simplest way to extend the save process as it 2025-12-04T09:07:31.6149784Z doesn't requite understanding the intrincacies of how SavePlan works: 2025-12-04T09:07:31.6150118Z 2025-12-04T09:07:31.6150232Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:07:31.6150581Z >>> class RenamePlanner(DefaultSavePlanner): 2025-12-04T09:07:31.6150919Z >>> def set_up_planner( 2025-12-04T09:07:31.6151175Z >>> self, 2025-12-04T09:07:31.6151422Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T09:07:31.6151761Z >>> storage_meta: Optional[StorageMeta], 2025-12-04T09:07:31.6152099Z >>> is_coordinator: bool, 2025-12-04T09:07:31.6152370Z >>> ) -> None: 2025-12-04T09:07:31.6152619Z >>> # prefix all keys with `foo_`` 2025-12-04T09:07:31.6153104Z >>> super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator) 2025-12-04T09:07:31.6153503Z 2025-12-04T09:07:31.6153831Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted 2025-12-04T09:07:31.6154282Z 2025-12-04T09:07:31.6154391Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:07:31.6154726Z >>> class FP16Planner(DefaultSavePlanner): 2025-12-04T09:07:31.6155063Z >>> def create_local_plan(self): 2025-12-04T09:07:31.6155373Z >>> plan = super().create_local_plan() 2025-12-04T09:07:31.6155696Z >>> for p in plan: 2025-12-04T09:07:31.6155985Z >>> if p.tensor_data is not None: 2025-12-04T09:07:31.6156350Z >>> p.tensor_data.properties.dtype = torch.float16 2025-12-04T09:07:31.6156712Z >>> return plan 2025-12-04T09:07:31.6156952Z >>> 2025-12-04T09:07:31.6157164Z >>> def resolve_data(self, write_item): 2025-12-04T09:07:31.6157509Z >>> item = super().resolve_data(write_item) 2025-12-04T09:07:31.6158015Z >>> return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16) 2025-12-04T09:07:31.6158397Z 2025-12-04T09:07:31.6158745Z Using the global planning step to make central decisions that can't be made individually by each rank 2025-12-04T09:07:31.6159195Z 2025-12-04T09:07:31.6159306Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:07:31.6159633Z >>> from itertools import zip_longest 2025-12-04T09:07:31.6160040Z >>> from dataclasses import replace 2025-12-04T09:07:31.6160408Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner): 2025-12-04T09:07:31.6161024Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0 2025-12-04T09:07:31.6161539Z >>> # This sample doesn't handle ShardedTensors 2025-12-04T09:07:31.6161890Z >>> def create_global_plan(self, all_plans): 2025-12-04T09:07:31.6162274Z >>> iters = [iter(all_plans[0].items)] * len(all_plans) 2025-12-04T09:07:31.6162659Z >>> items_per_rank = [ 2025-12-04T09:07:31.6162976Z >>> [item for item in items if item is not None] 2025-12-04T09:07:31.6163451Z >>> for items in zip(*zip_longest(*iters), strict=True) 2025-12-04T09:07:31.6163815Z >>> ] 2025-12-04T09:07:31.6164037Z >>> all_plans = [ 2025-12-04T09:07:31.6164301Z >>> replace(plan, items=items) 2025-12-04T09:07:31.6164711Z >>> for plan, items in zip(all_plans, items_per_rank, strict=True) 2025-12-04T09:07:31.6165117Z >>> ] 2025-12-04T09:07:31.6165384Z >>> return super().create_global_plan(all_plans) 2025-12-04T09:07:31.6165632Z 2025-12-04T09:07:31.6165891Z Finally, some planners need to save additional metadata in the checkpoint, this is 2025-12-04T09:07:31.6166535Z accomplished by having each rank contribute their data items in the local plan and 2025-12-04T09:07:31.6167033Z the global planner aggregate them: 2025-12-04T09:07:31.6167233Z 2025-12-04T09:07:31.6167342Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:07:31.6167710Z >>> class SaveExtraDataPlanner(DefaultSavePlanner): 2025-12-04T09:07:31.6168162Z >>> def create_local_plan(self) -> SavePlan: 2025-12-04T09:07:31.6168517Z >>> plan = super().create_local_plan() 2025-12-04T09:07:31.6168891Z >>> return replace(plan, planner_data="per-rank-data") 2025-12-04T09:07:31.6169244Z >>> 2025-12-04T09:07:31.6169653Z >>> def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]: 2025-12-04T09:07:31.6170437Z >>> global_plan, metadata = super().create_global_plan(all_plans) 2025-12-04T09:07:31.6170912Z >>> merged_data = [p.planner_data for p in global_plan] 2025-12-04T09:07:31.6171352Z >>> metadata = replace(metadata, planner_data=merged_data) 2025-12-04T09:07:31.6171745Z >>> return global_plan, metadata 2025-12-04T09:07:31.6171952Z 2025-12-04T09:07:31.6172499Z Original Error: IndentationError('expected an indented block after function definition on line 3', ('', 9, 0, '_._ = None\n', 9, -1)) 2025-12-04T09:07:31.6173134Z 2025-12-04T09:07:31.6173218Z _._ = None 2025-12-04T09:07:31.6173425Z ^ 2025-12-04T09:07:31.6174152Z msg = Cannot scrape callname=LoadPlanner in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/planner.py line=305. 2025-12-04T09:07:31.6175106Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:31.6175463Z 2025-12-04T09:07:31.6175759Z Abstract class defining the protocol used by load_state_dict to plan the load process. 2025-12-04T09:07:31.6176160Z 2025-12-04T09:07:31.6176446Z LoadPlanner are stateful objects that can be used to customize the whole load process. 2025-12-04T09:07:31.6176864Z 2025-12-04T09:07:31.6177139Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T09:07:31.6177719Z will be visible to the whole process. 2025-12-04T09:07:31.6177930Z 2025-12-04T09:07:31.6178215Z A planner subclass can expect the following sequence of calls during load_state_dict: 2025-12-04T09:07:31.6178609Z 2025-12-04T09:07:31.6178724Z 1) set_up_planner - called on all ranks. 2025-12-04T09:07:31.6179080Z Signals the start of loading a checkpoint. 2025-12-04T09:07:31.6179313Z 2025-12-04T09:07:31.6179449Z 2) create_local_plan - called on all ranks. 2025-12-04T09:07:31.6179962Z Process the state_dict and produces a `LoadPlan` that will be sent for global planning. 2025-12-04T09:07:31.6180491Z 2025-12-04T09:07:31.6180670Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T09:07:31.6181160Z Takes the LoadPlan from all ranks and make any global decision. 2025-12-04T09:07:31.6181548Z 2025-12-04T09:07:31.6181697Z 4) load_bytes - called multiple times on each rank 2025-12-04T09:07:31.6182103Z This is called once per non-tensor value in state_dict. 2025-12-04T09:07:31.6182387Z 2025-12-04T09:07:31.6182602Z 5) resolve_tensor and commit_tensor - called multiple times on each rank 2025-12-04T09:07:31.6183118Z They are called in pair for each Tensor value in state_dict. 2025-12-04T09:07:31.6183404Z 2025-12-04T09:07:31.6183779Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as 2025-12-04T09:07:31.6184376Z most changes can be expressed by changes in a single method. 2025-12-04T09:07:31.6184678Z 2025-12-04T09:07:31.6184803Z There are two usual patterns of extension: 2025-12-04T09:07:31.6185043Z 2025-12-04T09:07:31.6185294Z Rewriting state_dict. This is the simplest way to extend the load process as it 2025-12-04T09:07:31.6185909Z doesn't requite understanding the intrincacies of how LoadPlan works. We need 2025-12-04T09:07:31.6186496Z to keep a reference to the original state_dict as load happens in place so 2025-12-04T09:07:31.6186956Z we need to be able to perform it in place 2025-12-04T09:07:31.6187177Z 2025-12-04T09:07:31.6187298Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:07:31.6187631Z >>> class RenamePlanner(DefaultLoadPlanner): 2025-12-04T09:07:31.6187964Z >>> def set_up_planner( 2025-12-04T09:07:31.6188222Z >>> self, 2025-12-04T09:07:31.6188466Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T09:07:31.6188767Z >>> metadata: Metadata, 2025-12-04T09:07:31.6189049Z >>> is_coordinator: bool, 2025-12-04T09:07:31.6189330Z >>> ) -> None: 2025-12-04T09:07:31.6189579Z >>> self.original_state_dict = state_dict 2025-12-04T09:07:31.6189985Z >>> state_dict = {"foo_" + k: v for k, v in state_dict.items()} 2025-12-04T09:07:31.6190357Z >>> 2025-12-04T09:07:31.6190571Z >>> if self.flatten_sharded_tensors: 2025-12-04T09:07:31.6190946Z >>> state_dict = _flatten_sharded_tensors(state_dict) 2025-12-04T09:07:31.6191291Z >>> 2025-12-04T09:07:31.6191494Z >>> if self.flatten_state_dict: 2025-12-04T09:07:31.6191886Z >>> state_dict, self.mappings = flatten_state_dict(state_dict) 2025-12-04T09:07:31.6192266Z >>> 2025-12-04T09:07:31.6192472Z >>> self.state_dict = state_dict 2025-12-04T09:07:31.6192786Z >>> self.metadata = metadata 2025-12-04T09:07:31.6193107Z >>> self.is_coordinator = is_coordinator 2025-12-04T09:07:31.6193418Z >>> 2025-12-04T09:07:31.6193635Z >>> def load_bytes(self, read_item, value): 2025-12-04T09:07:31.6193965Z >>> # Remove the "foo_" prefix 2025-12-04T09:07:31.6194464Z >>> self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False) 2025-12-04T09:07:31.6194898Z 2025-12-04T09:07:31.6194902Z 2025-12-04T09:07:31.6195154Z Modifying resolve_tensor and commit_tensor to handle load time transformation. 2025-12-04T09:07:31.6195544Z 2025-12-04T09:07:31.6195651Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:07:31.6196017Z >>> class MetaModelMaterialize(DefaultSavePlanner): 2025-12-04T09:07:31.6196398Z >>> def resolve_tensor(self, read_item): 2025-12-04T09:07:31.6196737Z >>> tensor = super().resolve_tensor(read_item) 2025-12-04T09:07:31.6197119Z >>> return torch.empty_like(tensor, device="cpu") 2025-12-04T09:07:31.6197452Z >>> 2025-12-04T09:07:31.6197675Z >>> def commit_tensor(self, read_item, tensor): 2025-12-04T09:07:31.6198068Z >>> self.state_dict[read_item.dest_index.fqn] = tensor 2025-12-04T09:07:31.6198327Z 2025-12-04T09:07:31.6198865Z Original Error: IndentationError('expected an indented block after function definition on line 22', ('', 23, 0, '_._ = None\n', 23, -1)) 2025-12-04T09:07:31.6199503Z 2025-12-04T09:07:31.6199676Z _._ = None 2025-12-04T09:07:31.6199870Z ^ 2025-12-04T09:07:31.9799831Z msg = Cannot scrape callname=FullStateDictConfig in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/api.py line=295. 2025-12-04T09:07:31.9801082Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:31.9801444Z 2025-12-04T09:07:31.9801647Z ``FullStateDictConfig`` is a config class meant to be used with 2025-12-04T09:07:31.9802167Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both 2025-12-04T09:07:31.9802681Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state 2025-12-04T09:07:31.9803221Z dicts to save GPU memory and CPU memory, respectively. This config class 2025-12-04T09:07:31.9803738Z is meant to be used via the :func:`state_dict_type` context manager as 2025-12-04T09:07:31.9804140Z follows: 2025-12-04T09:07:31.9804256Z 2025-12-04T09:07:31.9804392Z >>> # xdoctest: +SKIP("undefined variables") 2025-12-04T09:07:31.9804860Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-12-04T09:07:31.9805348Z >>> fsdp = FSDP(model, auto_wrap_policy=...) 2025-12-04T09:07:31.9805788Z >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True) 2025-12-04T09:07:31.9806319Z >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg): 2025-12-04T09:07:31.9806751Z >>> state = fsdp.state_dict() 2025-12-04T09:07:31.9807164Z >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0. 2025-12-04T09:07:31.9807726Z >>> # To reload checkpoint for inference, finetuning, transfer learning, etc: 2025-12-04T09:07:31.9808298Z >>> model = model_fn() # Initialize model in preparation for wrapping with FSDP 2025-12-04T09:07:31.9808753Z >>> if dist.get_rank() == 0: 2025-12-04T09:07:31.9809125Z >>> # Load checkpoint only on rank 0 to avoid memory redundancy 2025-12-04T09:07:31.9809556Z >>> state_dict = torch.load("my_checkpoint.pt") 2025-12-04T09:07:31.9809918Z >>> model.load_state_dict(state_dict) 2025-12-04T09:07:31.9810376Z >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument 2025-12-04T09:07:31.9810973Z >>> # communicates loaded checkpoint states from rank 0 to rest of the world. 2025-12-04T09:07:31.9811412Z >>> fsdp = FSDP( 2025-12-04T09:07:31.9811656Z ... model, 2025-12-04T09:07:31.9811926Z ... device_id=torch.cuda.current_device(), 2025-12-04T09:07:31.9812258Z ... auto_wrap_policy=..., 2025-12-04T09:07:31.9812556Z ... sync_module_states=True, 2025-12-04T09:07:31.9812841Z ... ) 2025-12-04T09:07:31.9813158Z >>> # After this point, all ranks have FSDP model with loaded checkpoint. 2025-12-04T09:07:31.9813497Z 2025-12-04T09:07:31.9813584Z Attributes: 2025-12-04T09:07:31.9813909Z rank0_only (bool): If ``True``, then only rank 0 saves the full state 2025-12-04T09:07:31.9814433Z dict, and nonzero ranks save an empty dict. If ``False``, then all 2025-12-04T09:07:31.9814893Z ranks save the full state dict. (Default: ``False``) 2025-12-04T09:07:31.9815167Z 2025-12-04T09:07:31.9815665Z Original Error: IndentationError("expected an indented block after 'if' statement on line 10", ('', 11, 1, '_._ = None\n', 11, 2)) 2025-12-04T09:07:31.9816282Z 2025-12-04T09:07:31.9816365Z _._ = None 2025-12-04T09:07:31.9816619Z ^ 2025-12-04T09:07:34.7769120Z msg = Cannot scrape callname=register_parametrization in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrize.py line=437. 2025-12-04T09:07:34.7770306Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:34.7770822Z Register a parametrization to a tensor in a module. 2025-12-04T09:07:34.7771103Z 2025-12-04T09:07:34.7771376Z Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``, 2025-12-04T09:07:34.7772784Z the module will return the parametrized version ``parametrization(module.weight)``. 2025-12-04T09:07:34.7773462Z If the original tensor requires a gradient, the backward pass will differentiate 2025-12-04T09:07:34.7774241Z through :attr:`parametrization`, and the optimizer will update the tensor accordingly. 2025-12-04T09:07:34.7774664Z 2025-12-04T09:07:34.7774973Z The first time that a module registers a parametrization, this function will add an attribute 2025-12-04T09:07:34.7775643Z ``parametrizations`` to the module of type :class:`~ParametrizationList`. 2025-12-04T09:07:34.7775998Z 2025-12-04T09:07:34.7776263Z The list of parametrizations on the tensor ``weight`` will be accessible under 2025-12-04T09:07:34.7776750Z ``module.parametrizations.weight``. 2025-12-04T09:07:34.7776994Z 2025-12-04T09:07:34.7777127Z The original tensor will be accessible under 2025-12-04T09:07:34.7777515Z ``module.parametrizations.weight.original``. 2025-12-04T09:07:34.7777764Z 2025-12-04T09:07:34.7778027Z Parametrizations may be concatenated by registering several parametrizations 2025-12-04T09:07:34.7778514Z on the same attribute. 2025-12-04T09:07:34.7778696Z 2025-12-04T09:07:34.7778938Z The training mode of a registered parametrization is updated on registration 2025-12-04T09:07:34.7779428Z to match the training mode of the host module 2025-12-04T09:07:34.7779666Z 2025-12-04T09:07:34.7779968Z Parametrized parameters and buffers have an inbuilt caching system that can be activated 2025-12-04T09:07:34.7780516Z using the context manager :func:`cached`. 2025-12-04T09:07:34.7780741Z 2025-12-04T09:07:34.7780989Z A :attr:`parametrization` may optionally implement a method with signature 2025-12-04T09:07:34.7781344Z 2025-12-04T09:07:34.7781489Z .. code-block:: python 2025-12-04T09:07:34.7781660Z 2025-12-04T09:07:34.7781872Z def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]] 2025-12-04T09:07:34.7782213Z 2025-12-04T09:07:34.7782475Z This method is called on the unparametrized tensor when the first parametrization 2025-12-04T09:07:34.7783063Z is registered to compute the initial value of the original tensor. 2025-12-04T09:07:34.7783762Z If this method is not implemented, the original tensor will be just the unparametrized tensor. 2025-12-04T09:07:34.7784194Z 2025-12-04T09:07:34.7784504Z If all the parametrizations registered on a tensor implement `right_inverse` it is possible 2025-12-04T09:07:34.7785219Z to initialize a parametrized tensor by assigning to it, as shown in the example below. 2025-12-04T09:07:34.7785622Z 2025-12-04T09:07:34.7785860Z It is possible for the first parametrization to depend on several inputs. 2025-12-04T09:07:34.7786453Z This may be implemented returning a tuple of tensors from ``right_inverse`` 2025-12-04T09:07:34.7787031Z (see the example implementation of a ``RankOne`` parametrization below). 2025-12-04T09:07:34.7787386Z 2025-12-04T09:07:34.7787717Z In this case, the unconstrained tensors are also located under ``module.parametrizations.weight`` 2025-12-04T09:07:34.7788296Z with names ``original0``, ``original1``,... 2025-12-04T09:07:34.7788528Z 2025-12-04T09:07:34.7788629Z .. note:: 2025-12-04T09:07:34.7788762Z 2025-12-04T09:07:34.7789025Z If unsafe=False (default) both the forward and right_inverse methods will be called 2025-12-04T09:07:34.7789555Z once to perform a number of consistency checks. 2025-12-04T09:07:34.7790078Z If unsafe=True, then right_inverse will be called if the tensor is not parametrized, 2025-12-04T09:07:34.7790570Z and nothing will be called otherwise. 2025-12-04T09:07:34.7790803Z 2025-12-04T09:07:34.7790886Z .. note:: 2025-12-04T09:07:34.7791007Z 2025-12-04T09:07:34.7791217Z In most situations, ``right_inverse`` will be a function such that 2025-12-04T09:07:34.7791654Z ``forward(right_inverse(X)) == X`` (see 2025-12-04T09:07:34.7792157Z `right inverse `_). 2025-12-04T09:07:34.7792893Z Sometimes, when the parametrization is not surjective, it may be reasonable 2025-12-04T09:07:34.7793362Z to relax this. 2025-12-04T09:07:34.7793592Z 2025-12-04T09:07:34.7793683Z .. warning:: 2025-12-04T09:07:34.7793834Z 2025-12-04T09:07:34.7794103Z If a parametrization depends on several inputs, :func:`~register_parametrization` 2025-12-04T09:07:34.7794756Z will register a number of new parameters. If such parametrization is registered 2025-12-04T09:07:34.7795398Z after the optimizer is created, these new parameters will need to be added manually 2025-12-04T09:07:34.7795969Z to the optimizer. See :meth:`torch.Optimizer.add_param_group`. 2025-12-04T09:07:34.7796286Z 2025-12-04T09:07:34.7796367Z Args: 2025-12-04T09:07:34.7796698Z module (nn.Module): module on which to register the parametrization 2025-12-04T09:07:34.7797236Z tensor_name (str): name of the parameter or buffer on which to register 2025-12-04T09:07:34.7797663Z the parametrization 2025-12-04T09:07:34.7798052Z parametrization (nn.Module): the parametrization to register 2025-12-04T09:07:34.7798463Z Keyword args: 2025-12-04T09:07:34.7798812Z unsafe (bool): a boolean flag that denotes whether the parametrization 2025-12-04T09:07:34.7799340Z may change the dtype and shape of the tensor. Default: `False` 2025-12-04T09:07:34.7799923Z Warning: the parametrization is not checked for consistency upon registration. 2025-12-04T09:07:34.7800418Z Enable this flag at your own risk. 2025-12-04T09:07:34.7800653Z 2025-12-04T09:07:34.7800737Z Raises: 2025-12-04T09:07:34.7801144Z ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name` 2025-12-04T09:07:34.7801542Z 2025-12-04T09:07:34.7801639Z Examples: 2025-12-04T09:07:34.7801905Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK) 2025-12-04T09:07:34.7802261Z >>> import torch 2025-12-04T09:07:34.7802539Z >>> import torch.nn as nn 2025-12-04T09:07:34.7802861Z >>> import torch.nn.utils.parametrize as P 2025-12-04T09:07:34.7803193Z >>> 2025-12-04T09:07:34.7803429Z >>> class Symmetric(nn.Module): 2025-12-04T09:07:34.7803739Z >>> def forward(self, X): 2025-12-04T09:07:34.7804119Z >>> return X.triu() + X.triu(1).T # Return a symmetric matrix 2025-12-04T09:07:34.7804496Z >>> 2025-12-04T09:07:34.7804727Z >>> def right_inverse(self, A): 2025-12-04T09:07:34.7805032Z >>> return A.triu() 2025-12-04T09:07:34.7805311Z >>> 2025-12-04T09:07:34.7805526Z >>> m = nn.Linear(5, 5) 2025-12-04T09:07:34.7805866Z >>> P.register_parametrization(m, "weight", Symmetric()) 2025-12-04T09:07:34.7806389Z >>> print(torch.allclose(m.weight, m.weight.T)) # m.weight is now symmetric 2025-12-04T09:07:34.7806834Z True 2025-12-04T09:07:34.7807049Z >>> A = torch.rand(5, 5) 2025-12-04T09:07:34.7807368Z >>> A = A + A.T # A is now symmetric 2025-12-04T09:07:34.7807790Z >>> m.weight = A # Initialize the weight to be the symmetric matrix A 2025-12-04T09:07:34.7808239Z >>> print(torch.allclose(m.weight, A)) 2025-12-04T09:07:34.7808541Z True 2025-12-04T09:07:34.7808678Z 2025-12-04T09:07:34.7808785Z >>> class RankOne(nn.Module): 2025-12-04T09:07:34.7809105Z >>> def forward(self, x, y): 2025-12-04T09:07:34.7809468Z >>> # Form a rank 1 matrix multiplying two vectors 2025-12-04T09:07:34.7809846Z >>> return x.unsqueeze(-1) @ y.unsqueeze(-2) 2025-12-04T09:07:34.7810181Z >>> 2025-12-04T09:07:34.7810417Z >>> def right_inverse(self, Z): 2025-12-04T09:07:34.7810746Z >>> # Project Z onto the rank 1 matrices 2025-12-04T09:07:34.7811130Z >>> U, S, Vh = torch.linalg.svd(Z, full_matrices=False) 2025-12-04T09:07:34.7811520Z >>> # Return rescaled singular vectors 2025-12-04T09:07:34.7811938Z >>> s0_sqrt = S[0].sqrt().unsqueeze(-1) 2025-12-04T09:07:34.7812325Z >>> return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt 2025-12-04T09:07:34.7812746Z >>> 2025-12-04T09:07:34.7813016Z >>> linear_rank_one = P.register_parametrization( 2025-12-04T09:07:34.7813390Z ... nn.Linear(4, 4), "weight", RankOne() 2025-12-04T09:07:34.7813715Z ... ) 2025-12-04T09:07:34.7814048Z >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item()) 2025-12-04T09:07:34.7814442Z 1 2025-12-04T09:07:34.7814571Z 2025-12-04T09:07:34.7814653Z 2025-12-04T09:07:34.7815297Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 3, 0, '_._ = None\n', 3, -1)) 2025-12-04T09:07:34.7815929Z 2025-12-04T09:07:34.7816033Z _._ = None 2025-12-04T09:07:34.7816234Z ^ 2025-12-04T09:07:34.9220449Z msg = Cannot scrape callname=ReduceLROnPlateau in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py line=1586. 2025-12-04T09:07:34.9221418Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:34.9221980Z Reduce learning rate when a metric has stopped improving. 2025-12-04T09:07:34.9222279Z 2025-12-04T09:07:34.9222481Z Models often benefit from reducing the learning rate by a factor 2025-12-04T09:07:34.9222987Z of 2-10 once learning stagnates. This scheduler reads a metrics 2025-12-04T09:07:34.9223525Z quantity and if no improvement is seen for a 'patience' number 2025-12-04T09:07:34.9223962Z of epochs, the learning rate is reduced. 2025-12-04T09:07:34.9224198Z 2025-12-04T09:07:34.9224282Z Args: 2025-12-04T09:07:34.9224536Z optimizer (Optimizer): Wrapped optimizer. 2025-12-04T09:07:34.9224923Z mode (str): One of `min`, `max`. In `min` mode, lr will 2025-12-04T09:07:34.9225350Z be reduced when the quantity monitored has stopped 2025-12-04T09:07:34.9225789Z decreasing; in `max` mode it will be reduced when the 2025-12-04T09:07:34.9226247Z quantity monitored has stopped increasing. Default: 'min'. 2025-12-04T09:07:34.9226736Z factor (float): Factor by which the learning rate will be 2025-12-04T09:07:34.9227161Z reduced. new_lr = lr * factor. Default: 0.1. 2025-12-04T09:07:34.9227623Z patience (int): The number of allowed epochs with no improvement after 2025-12-04T09:07:34.9228073Z which the learning rate will be reduced. 2025-12-04T09:07:34.9228539Z For example, consider the case of having no patience (`patience = 0`). 2025-12-04T09:07:34.9229250Z In the first epoch, a baseline is established and is always considered good as there's no previous baseline. 2025-12-04T09:07:34.9229915Z In the second epoch, if the performance is worse than the baseline, 2025-12-04T09:07:34.9230389Z we have what is considered an intolerable epoch. 2025-12-04T09:07:34.9230920Z Since the count of intolerable epochs (1) is greater than the patience level (0), 2025-12-04T09:07:34.9231474Z the learning rate is reduced at the end of this epoch. 2025-12-04T09:07:34.9232063Z From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch 2025-12-04T09:07:34.9232815Z if the performance is worse than the baseline. If the performance improves or remains the same, 2025-12-04T09:07:34.9233366Z the learning rate is not adjusted. 2025-12-04T09:07:34.9233686Z Default: 10. 2025-12-04T09:07:34.9234022Z threshold (float): Threshold for measuring the new optimum, 2025-12-04T09:07:34.9234482Z to only focus on significant changes. Default: 1e-4. 2025-12-04T09:07:34.9234925Z threshold_mode (str): One of `rel`, `abs`. In `rel` mode, 2025-12-04T09:07:34.9235359Z dynamic_threshold = best * ( 1 + threshold ) in 'max' 2025-12-04T09:07:34.9235778Z mode or best * ( 1 - threshold ) in `min` mode. 2025-12-04T09:07:34.9236468Z In `abs` mode, dynamic_threshold = best + threshold in 2025-12-04T09:07:34.9236911Z `max` mode or best - threshold in `min` mode. Default: 'rel'. 2025-12-04T09:07:34.9237482Z cooldown (int): Number of epochs to wait before resuming 2025-12-04T09:07:34.9237951Z normal operation after lr has been reduced. Default: 0. 2025-12-04T09:07:34.9238406Z min_lr (float or list): A scalar or a list of scalars. A 2025-12-04T09:07:34.9238830Z lower bound on the learning rate of all param groups 2025-12-04T09:07:34.9239237Z or each group respectively. Default: 0. 2025-12-04T09:07:34.9239655Z eps (float): Minimal decay applied to lr. If the difference 2025-12-04T09:07:34.9240111Z between new and old lr is smaller than eps, the update is 2025-12-04T09:07:34.9240514Z ignored. Default: 1e-8. 2025-12-04T09:07:34.9240723Z 2025-12-04T09:07:34.9240811Z Example: 2025-12-04T09:07:34.9241043Z >>> # xdoctest: +SKIP 2025-12-04T09:07:34.9241439Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9) 2025-12-04T09:07:34.9241941Z >>> scheduler = ReduceLROnPlateau(optimizer, "min") 2025-12-04T09:07:34.9242331Z >>> for epoch in range(10): 2025-12-04T09:07:34.9242614Z >>> train(...) 2025-12-04T09:07:34.9242893Z >>> val_loss = validate(...) 2025-12-04T09:07:34.9243254Z >>> # Note that step should be called after validate() 2025-12-04T09:07:34.9243615Z >>> scheduler.step(val_loss) 2025-12-04T09:07:34.9243843Z 2025-12-04T09:07:34.9244070Z .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png 2025-12-04T09:07:34.9244456Z 2025-12-04T09:07:34.9244981Z Original Error: IndentationError('unexpected indent', ('', 8, 4, ' scheduler.step(val_loss)\n', 8, -1)) 2025-12-04T09:07:34.9245503Z 2025-12-04T09:07:34.9245607Z scheduler.step(val_loss) 2025-12-04T09:07:34.9245882Z ^ 2025-12-04T09:07:38.8485912Z running 894 test(s) 2025-12-04T09:07:38.8491679Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::typename:0, line 1111 <- wrt source file 2025-12-04T09:07:38.8504779Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::typename:0 2025-12-04T09:07:38.8505873Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_tensor:0, line 1142 <- wrt source file 2025-12-04T09:07:38.8512123Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_tensor:0 2025-12-04T09:07:38.8513210Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_storage:0, line 1157 <- wrt source file 2025-12-04T09:07:38.8524268Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_storage:0 2025-12-04T09:07:38.8525438Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_device:0, line 1247 <- wrt source file 2025-12-04T09:07:38.8528115Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_device:0 2025-12-04T09:07:38.8529306Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_tensor_type:0, line 1296 <- wrt source file 2025-12-04T09:07:38.8531166Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_tensor_type:0 2025-12-04T09:07:38.8532397Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_dtype:0, line 1333 <- wrt source file 2025-12-04T09:07:38.8536213Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_dtype:0 2025-12-04T09:07:38.8537789Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::use_deterministic_algorithms:0, line 1497 <- wrt source file 2025-12-04T09:07:38.8539208Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::use_deterministic_algorithms:0 2025-12-04T09:07:38.8540504Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::compile:0, line 2655 <- wrt source file 2025-12-04T09:07:38.8541603Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::compile:0 2025-12-04T09:07:38.8542926Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0, line 2963 <- wrt source file 2025-12-04T09:07:38.8544395Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0 2025-12-04T09:07:38.8545884Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::Generator:0, line 15 <- wrt source file 2025-12-04T09:07:38.8547538Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::Generator:0 2025-12-04T09:07:38.8548861Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::_LinAlgError:0, line 5 <- wrt source file 2025-12-04T09:07:38.8551870Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::_LinAlgError:0 2025-12-04T09:07:38.8553093Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::custom_op:0, line 55 <- wrt source file 2025-12-04T09:07:38.8554253Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::custom_op:0 2025-12-04T09:07:38.8555356Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl:0, line 138 <- wrt source file 2025-12-04T09:07:38.8556439Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl:0 2025-12-04T09:07:38.8557564Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl_abstract:0, line 208 <- wrt source file 2025-12-04T09:07:38.9139202Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl_abstract:0 2025-12-04T09:07:38.9140663Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_namedtensor_internals.py::update_names:0, line 118 <- wrt source file 2025-12-04T09:07:38.9141974Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_namedtensor_internals.py::update_names:0 2025-12-04T09:07:38.9143214Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_hook:0, line 681 <- wrt source file 2025-12-04T09:07:38.9210744Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_hook:0 2025-12-04T09:07:38.9212060Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0, line 738 <- wrt source file 2025-12-04T09:07:38.9276961Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0 2025-12-04T09:07:38.9278234Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.refine_names:0, line 1374 <- wrt source file 2025-12-04T09:07:38.9600310Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.refine_names:0 2025-12-04T09:07:38.9605621Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.align_to:0, line 1419 <- wrt source file 2025-12-04T09:07:38.9623137Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.align_to:0 2025-12-04T09:07:38.9624506Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.rename:0, line 1492 <- wrt source file 2025-12-04T09:07:38.9658081Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.rename:0 2025-12-04T09:07:38.9659243Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0, line 1522 <- wrt source file 2025-12-04T09:07:38.9910125Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0 2025-12-04T09:07:38.9912393Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.dim_order:0, line 1554 <- wrt source file 2025-12-04T09:07:38.9948548Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.dim_order:0 2025-12-04T09:07:38.9950796Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor_str.py::set_printoptions:0, line 53 <- wrt source file 2025-12-04T09:07:39.0012188Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor_str.py::set_printoptions:0 2025-12-04T09:07:39.0014509Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_tensors:0, line 64 <- wrt source file 2025-12-04T09:07:39.0058387Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_tensors:0 2025-12-04T09:07:39.0060673Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_shapes:0, line 92 <- wrt source file 2025-12-04T09:07:39.0064277Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_shapes:0 2025-12-04T09:07:39.0066475Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::split:0, line 144 <- wrt source file 2025-12-04T09:07:39.0096399Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::split:0 2025-12-04T09:07:39.0098531Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::einsum:0, line 258 <- wrt source file 2025-12-04T09:07:39.0261452Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::einsum:0 2025-12-04T09:07:39.0263668Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::meshgrid:0, line 450 <- wrt source file 2025-12-04T09:07:39.0424602Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::meshgrid:0 2025-12-04T09:07:39.0426806Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_impl:0, line 835 <- wrt source file 2025-12-04T09:07:39.0657608Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_impl:0 2025-12-04T09:07:39.0659969Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_consecutive_impl:0, line 992 <- wrt source file 2025-12-04T09:07:39.0687811Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_consecutive_impl:0 2025-12-04T09:07:39.0690151Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::tensordot:0, line 1267 <- wrt source file 2025-12-04T09:07:39.0815387Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::tensordot:0 2025-12-04T09:07:39.0817960Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cartesian_prod:0, line 1351 <- wrt source file 2025-12-04T09:07:39.0832466Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cartesian_prod:0 2025-12-04T09:07:39.0834667Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::block_diag:0, line 1385 <- wrt source file 2025-12-04T09:07:39.0863855Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::block_diag:0 2025-12-04T09:07:39.0865985Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cdist:0, line 1441 <- wrt source file 2025-12-04T09:07:39.0924207Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cdist:0 2025-12-04T09:07:39.0926385Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_1d:0, line 1482 <- wrt source file 2025-12-04T09:07:39.0971539Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_1d:0 2025-12-04T09:07:39.0973744Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_2d:0, line 1520 <- wrt source file 2025-12-04T09:07:39.1020675Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_2d:0 2025-12-04T09:07:39.1022837Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_3d:0, line 1560 <- wrt source file 2025-12-04T09:07:39.1081873Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_3d:0 2025-12-04T09:07:39.1083985Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::norm:0, line 1735 <- wrt source file 2025-12-04T09:07:39.1241857Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::norm:0 2025-12-04T09:07:39.1244049Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::unravel_index:0, line 1905 <- wrt source file 2025-12-04T09:07:39.1341583Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::unravel_index:0 2025-12-04T09:07:39.1343883Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::chain_matmul:0, line 2005 <- wrt source file 2025-12-04T09:07:39.1346151Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::chain_matmul:0 2025-12-04T09:07:39.1348314Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_lu_impl:0, line 2106 <- wrt source file 2025-12-04T09:07:39.1350521Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_lu_impl:0 2025-12-04T09:07:39.1352515Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::list:0, line 477 <- wrt source file 2025-12-04T09:07:39.1354483Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::list:0 2025-12-04T09:07:39.1356394Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::help:0, line 537 <- wrt source file 2025-12-04T09:07:39.1358359Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::help:0 2025-12-04T09:07:39.1360280Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load:0, line 628 <- wrt source file 2025-12-04T09:07:39.1362235Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load:0 2025-12-04T09:07:39.1364530Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::_load_local:0, line 676 <- wrt source file 2025-12-04T09:07:39.1366590Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::_load_local:0 2025-12-04T09:07:39.1368839Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::download_url_to_file:0, line 711 <- wrt source file 2025-12-04T09:07:39.1371246Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::download_url_to_file:0 2025-12-04T09:07:39.1373488Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load_state_dict_from_url:0, line 852 <- wrt source file 2025-12-04T09:07:39.1375798Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load_state_dict_from_url:0 2025-12-04T09:07:39.1378019Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.define:0, line 145 <- wrt source file 2025-12-04T09:07:39.1380557Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.define:0 2025-12-04T09:07:39.1383127Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library._impl_with_aoti_compile:0, line 239 <- wrt source file 2025-12-04T09:07:39.1385750Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library._impl_with_aoti_compile:0 2025-12-04T09:07:39.1388052Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.impl:0, line 300 <- wrt source file 2025-12-04T09:07:39.1390228Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.impl:0 2025-12-04T09:07:39.1392316Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::define:0, line 521 <- wrt source file 2025-12-04T09:07:39.1500243Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::define:0 2025-12-04T09:07:39.1502240Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::impl:0, line 627 <- wrt source file 2025-12-04T09:07:39.1541879Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::impl:0 2025-12-04T09:07:39.1544073Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_kernel:0, line 809 <- wrt source file 2025-12-04T09:07:39.1546324Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_kernel:0 2025-12-04T09:07:39.1548533Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autocast:0, line 877 <- wrt source file 2025-12-04T09:07:39.1550817Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autocast:0 2025-12-04T09:07:39.1553073Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autograd:0, line 1164 <- wrt source file 2025-12-04T09:07:39.1895577Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autograd:0 2025-12-04T09:07:39.1896794Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_torch_dispatch:0, line 1280 <- wrt source file 2025-12-04T09:07:39.2019038Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_torch_dispatch:0 2025-12-04T09:07:39.2020224Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_vmap:0, line 1369 <- wrt source file 2025-12-04T09:07:39.2267228Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_vmap:0 2025-12-04T09:07:39.2268619Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::opcheck:0, line 1694 <- wrt source file 2025-12-04T09:07:39.2270005Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::opcheck:0 2025-12-04T09:07:39.2271159Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_ignored_functions:0, line 117 <- wrt source file 2025-12-04T09:07:39.2278175Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_ignored_functions:0 2025-12-04T09:07:39.2279399Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_testing_overrides:0, line 435 <- wrt source file 2025-12-04T09:07:39.2326871Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_testing_overrides:0 2025-12-04T09:07:39.2328086Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::wrap_torch_function:0, line 1589 <- wrt source file 2025-12-04T09:07:39.2332076Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::wrap_torch_function:0 2025-12-04T09:07:39.2333301Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::handle_torch_function:0, line 1725 <- wrt source file 2025-12-04T09:07:39.2336930Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::handle_torch_function:0 2025-12-04T09:07:39.2338191Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_method_or_property:0, line 1974 <- wrt source file 2025-12-04T09:07:39.2377736Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_method_or_property:0 2025-12-04T09:07:39.2378960Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_like:0, line 1993 <- wrt source file 2025-12-04T09:07:39.2389382Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_like:0 2025-12-04T09:07:39.2390542Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/quasirandom.py::SobolEngine:0, line 39 <- wrt source file 2025-12-04T09:07:39.2391710Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/quasirandom.py::SobolEngine:0 2025-12-04T09:07:39.2392894Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::add_safe_globals:0, line 300 <- wrt source file 2025-12-04T09:07:39.2394135Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::add_safe_globals:0 2025-12-04T09:07:39.2395334Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::safe_globals:0, line 325 <- wrt source file 2025-12-04T09:07:39.2396538Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::safe_globals:0 2025-12-04T09:07:39.2397685Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::skip_data:0, line 401 <- wrt source file 2025-12-04T09:07:39.2398854Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::skip_data:0 2025-12-04T09:07:39.2400041Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::register_package:0, line 473 <- wrt source file 2025-12-04T09:07:39.2405437Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::register_package:0 2025-12-04T09:07:39.2406664Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::save:0, line 960 <- wrt source file 2025-12-04T09:07:39.2407964Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::save:0 2025-12-04T09:07:39.2409182Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::load:0, line 1379 <- wrt source file 2025-12-04T09:07:39.2414651Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::load:0 2025-12-04T09:07:39.2415859Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/torch_version.py::TorchVersion:0, line 19 <- wrt source file 2025-12-04T09:07:39.2417046Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/torch_version.py::TorchVersion:0 2025-12-04T09:07:39.2418253Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_mode_options:0, line 349 <- wrt source file 2025-12-04T09:07:39.2420390Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_mode_options:0 2025-12-04T09:07:39.2421626Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_options:0, line 388 <- wrt source file 2025-12-04T09:07:39.2438682Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_options:0 2025-12-04T09:07:39.2440003Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0, line 1911 <- wrt source file 2025-12-04T09:07:39.2447620Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0 2025-12-04T09:07:39.2448990Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::current_accelerator:0, line 117 <- wrt source file 2025-12-04T09:07:39.2456986Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::current_accelerator:0 2025-12-04T09:07:39.2458324Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::get_device_capability:0, line 171 <- wrt source file 2025-12-04T09:07:39.2459673Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::get_device_capability:0 2025-12-04T09:07:39.2460960Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::device_index:0, line 276 <- wrt source file 2025-12-04T09:07:39.2462220Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::device_index:0 2025-12-04T09:07:39.2463488Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::allow_in_graph:0, line 130 <- wrt source file 2025-12-04T09:07:39.2464729Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::allow_in_graph:0 2025-12-04T09:07:39.2465981Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::substitute_in_graph:0, line 186 <- wrt source file 2025-12-04T09:07:39.7322384Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::substitute_in_graph:0 2025-12-04T09:07:39.7323737Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::wrap_numpy:0, line 416 <- wrt source file 2025-12-04T09:07:39.7324963Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::wrap_numpy:0 2025-12-04T09:07:39.7326154Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_compiling:0, line 448 <- wrt source file 2025-12-04T09:07:39.7328789Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_compiling:0 2025-12-04T09:07:39.7330189Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0, line 469 <- wrt source file 2025-12-04T09:07:39.7333208Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0 2025-12-04T09:07:39.7334452Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_exporting:0, line 487 <- wrt source file 2025-12-04T09:07:39.7337489Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_exporting:0 2025-12-04T09:07:39.7338930Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0, line 502 <- wrt source file 2025-12-04T09:07:39.7340497Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0 2025-12-04T09:07:39.7341939Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0, line 522 <- wrt source file 2025-12-04T09:07:39.7343386Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0 2025-12-04T09:07:39.7344751Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py::_compile_kernel:0, line 1788 <- wrt source file 2025-12-04T09:07:39.7346105Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py::_compile_kernel:0 2025-12-04T09:07:39.7347259Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::save:0, line 349 <- wrt source file 2025-12-04T09:07:39.7348540Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::save:0 2025-12-04T09:07:39.7349706Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::load:0, line 422 <- wrt source file 2025-12-04T09:07:39.7350954Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::load:0 2025-12-04T09:07:39.7352266Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::register_dataclass:0, line 581 <- wrt source file 2025-12-04T09:07:39.7353670Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::register_dataclass:0 2025-12-04T09:07:39.7355088Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.then:0, line 152 <- wrt source file 2025-12-04T09:07:39.7356301Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.then:0 2025-12-04T09:07:39.7357547Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.add_done_callback:0, line 201 <- wrt source file 2025-12-04T09:07:39.7358877Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.add_done_callback:0 2025-12-04T09:07:39.7360143Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_result:0, line 235 <- wrt source file 2025-12-04T09:07:39.7361381Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_result:0 2025-12-04T09:07:39.7362645Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_exception:0, line 265 <- wrt source file 2025-12-04T09:07:39.7364047Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_exception:0 2025-12-04T09:07:39.7365275Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::collect_all:0, line 299 <- wrt source file 2025-12-04T09:07:39.7366548Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::collect_all:0 2025-12-04T09:07:39.7367671Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/__init__.py::annotate:0, line 147 <- wrt source file 2025-12-04T09:07:39.7368796Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/__init__.py::annotate:0 2025-12-04T09:07:39.7370170Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0, line 22 <- wrt source file 2025-12-04T09:07:39.7379728Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0 2025-12-04T09:07:39.7381039Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/mps/__init__.py::compile_shader:0, line 148 <- wrt source file 2025-12-04T09:07:39.7382241Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/mps/__init__.py::compile_shader:0 2025-12-04T09:07:39.7383477Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::as_nested_tensor:0, line 61 <- wrt source file 2025-12-04T09:07:39.7544181Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::as_nested_tensor:0 2025-12-04T09:07:39.7555200Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor:0, line 240 <- wrt source file 2025-12-04T09:07:39.7563031Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor:0 2025-12-04T09:07:39.7565273Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::narrow:0, line 315 <- wrt source file 2025-12-04T09:07:39.7692792Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::narrow:0 2025-12-04T09:07:39.7695146Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0, line 405 <- wrt source file 2025-12-04T09:07:39.7703110Z W1204 09:07:39.769000 1497 site-packages/torch/fx/_symbolic_trace.py:53] is_fx_tracing will return true for both fx.symbolic_trace and torch.export. Please use is_fx_tracing_symbolic_tracing() for specifically fx.symbolic_trace or torch.compiler.is_compiling() for specifically torch.export/compile. 2025-12-04T09:07:39.7735784Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0 2025-12-04T09:07:39.7738238Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::masked_select:0, line 481 <- wrt source file 2025-12-04T09:07:39.7818695Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::masked_select:0 2025-12-04T09:07:39.7820926Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::sum:0, line 223 <- wrt source file 2025-12-04T09:07:39.7860315Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::sum:0 2025-12-04T09:07:39.7862733Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0, line 475 <- wrt source file 2025-12-04T09:07:39.8211907Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0 2025-12-04T09:07:39.8214518Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0, line 561 <- wrt source file 2025-12-04T09:07:39.8573996Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0 2025-12-04T09:07:39.8576510Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0, line 361 <- wrt source file 2025-12-04T09:07:39.8579069Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0 2025-12-04T09:07:39.8581706Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0, line 328 <- wrt source file 2025-12-04T09:07:39.8584633Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0 2025-12-04T09:07:39.8587710Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/higher_order_ops.py::speculate_subgraph_with_auto_output_flattening:0, line 1316 <- wrt source file 2025-12-04T09:07:39.8591110Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/higher_order_ops.py::speculate_subgraph_with_auto_output_flattening:0 2025-12-04T09:07:39.8594128Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0, line 1441 <- wrt source file 2025-12-04T09:07:39.8596881Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0 2025-12-04T09:07:39.8599824Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0, line 194 <- wrt source file 2025-12-04T09:07:39.8602917Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0 2025-12-04T09:07:39.8605707Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/wrappers.py::allow_in_pre_dispatch_graph:0, line 262 <- wrt source file 2025-12-04T09:07:39.8608357Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/wrappers.py::allow_in_pre_dispatch_graph:0 2025-12-04T09:07:39.8610880Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py::aot_function:0, line 771 <- wrt source file 2025-12-04T09:07:39.9207122Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py::aot_function:0 2025-12-04T09:07:39.9209779Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0, line 184 <- wrt source file 2025-12-04T09:07:39.9212537Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0 2025-12-04T09:07:39.9215071Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::vjp:0, line 234 <- wrt source file 2025-12-04T09:07:39.9409295Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::vjp:0 2025-12-04T09:07:39.9411693Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacrev:0, line 476 <- wrt source file 2025-12-04T09:07:39.9633173Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacrev:0 2025-12-04T09:07:39.9635863Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jvp:0, line 1024 <- wrt source file 2025-12-04T09:07:40.2594414Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jvp:0 2025-12-04T09:07:40.2595689Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0, line 1182 <- wrt source file 2025-12-04T09:07:40.2748618Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0 2025-12-04T09:07:40.2749899Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::hessian:0, line 1342 <- wrt source file 2025-12-04T09:07:40.2794037Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::hessian:0 2025-12-04T09:07:40.2795373Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::functionalize:0, line 1506 <- wrt source file 2025-12-04T09:07:40.2800756Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::functionalize:0 2025-12-04T09:07:40.2802061Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::linearize:0, line 1705 <- wrt source file 2025-12-04T09:07:40.3088684Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::linearize:0 2025-12-04T09:07:40.3089993Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/functional_call.py::functional_call:0, line 36 <- wrt source file 2025-12-04T09:07:40.3095331Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/functional_call.py::functional_call:0 2025-12-04T09:07:40.3096622Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/fx_minifier.py::minifier:0, line 194 <- wrt source file 2025-12-04T09:07:40.3097862Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/fx_minifier.py::minifier:0 2025-12-04T09:07:40.3099247Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0, line 1111 <- wrt source file 2025-12-04T09:07:40.3100791Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0 2025-12-04T09:07:40.3102317Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::InductorWrapper.post_compile:0, line 1166 <- wrt source file 2025-12-04T09:07:40.3103939Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::InductorWrapper.post_compile:0 2025-12-04T09:07:40.3105390Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0, line 183 <- wrt source file 2025-12-04T09:07:40.3106835Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0 2025-12-04T09:07:40.3108282Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0, line 319 <- wrt source file 2025-12-04T09:07:40.3109783Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0 2025-12-04T09:07:40.3111332Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/cond.py::cond:0, line 139 <- wrt source file 2025-12-04T09:07:40.3112533Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/cond.py::cond:0 2025-12-04T09:07:40.3113900Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0, line 80 <- wrt source file 2025-12-04T09:07:40.3115266Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0 2025-12-04T09:07:40.3116510Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/map.py::map:0, line 80 <- wrt source file 2025-12-04T09:07:40.3117670Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/map.py::map:0 2025-12-04T09:07:40.3119066Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/partitioner.py::HopPartitionedGraph._reorder_fw_output:0, line 133 <- wrt source file 2025-12-04T09:07:40.3120675Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/partitioner.py::HopPartitionedGraph._reorder_fw_output:0 2025-12-04T09:07:40.3122046Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/scan.py::scan:0, line 130 <- wrt source file 2025-12-04T09:07:40.3123236Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/scan.py::scan:0 2025-12-04T09:07:40.3124486Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py::WritableTempFile:0, line 385 <- wrt source file 2025-12-04T09:07:40.3125781Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py::WritableTempFile:0 2025-12-04T09:07:40.3127166Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0, line 1845 <- wrt source file 2025-12-04T09:07:40.3128669Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0 2025-12-04T09:07:40.3130106Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0, line 4328 <- wrt source file 2025-12-04T09:07:40.3131512Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0 2025-12-04T09:07:40.3132869Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/fx_passes/graph_view.py::_clean_stack_name:0, line 100 <- wrt source file 2025-12-04T09:07:40.3134265Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/fx_passes/graph_view.py::_clean_stack_name:0 2025-12-04T09:07:40.3135609Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/kernel/custom_op.py::CustomOpConfig:0, line 56 <- wrt source file 2025-12-04T09:07:40.3136964Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/kernel/custom_op.py::CustomOpConfig:0 2025-12-04T09:07:40.3138352Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/kernel/custom_op.py::register_custom_op_autotuning:0, line 423 <- wrt source file 2025-12-04T09:07:40.3139835Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/kernel/custom_op.py::register_custom_op_autotuning:0 2025-12-04T09:07:40.3141305Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_lock_with_timeout:0, line 69 <- wrt source file 2025-12-04T09:07:40.3142884Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_lock_with_timeout:0 2025-12-04T09:07:40.3144561Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_lock_with_timeout:0, line 105 <- wrt source file 2025-12-04T09:07:40.3146134Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_lock_with_timeout:0 2025-12-04T09:07:40.3147663Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_flock_with_timeout:0, line 142 <- wrt source file 2025-12-04T09:07:40.3149179Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_flock_with_timeout:0 2025-12-04T09:07:40.3150707Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_flock_with_timeout:0, line 179 <- wrt source file 2025-12-04T09:07:40.3152288Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_flock_with_timeout:0 2025-12-04T09:07:40.3153847Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/template_heuristics/registry.py::register_template_heuristic:0, line 54 <- wrt source file 2025-12-04T09:07:40.3155440Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/template_heuristics/registry.py::register_template_heuristic:0 2025-12-04T09:07:40.3156798Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::custom_op:0, line 101 <- wrt source file 2025-12-04T09:07:40.3635875Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::custom_op:0 2025-12-04T09:07:40.3637206Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0, line 241 <- wrt source file 2025-12-04T09:07:40.3772627Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0 2025-12-04T09:07:40.3774020Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0, line 310 <- wrt source file 2025-12-04T09:07:40.3775410Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0 2025-12-04T09:07:40.3776795Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0, line 549 <- wrt source file 2025-12-04T09:07:40.4061898Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0 2025-12-04T09:07:40.4063273Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0, line 724 <- wrt source file 2025-12-04T09:07:40.4315303Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0 2025-12-04T09:07:40.4316678Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0, line 810 <- wrt source file 2025-12-04T09:07:40.4318103Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0 2025-12-04T09:07:40.4319719Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0, line 273 <- wrt source file 2025-12-04T09:07:40.4321125Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0 2025-12-04T09:07:40.4322605Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0, line 175 <- wrt source file 2025-12-04T09:07:40.4428004Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0 2025-12-04T09:07:40.4429320Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/infer_schema.py::infer_schema:0, line 53 <- wrt source file 2025-12-04T09:07:40.4437103Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/infer_schema.py::infer_schema:0 2025-12-04T09:07:40.4438320Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::triton_op:0, line 136 <- wrt source file 2025-12-04T09:07:40.4439504Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::triton_op:0 2025-12-04T09:07:40.4440659Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::wrap_triton:0, line 307 <- wrt source file 2025-12-04T09:07:40.4441901Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::wrap_triton:0 2025-12-04T09:07:40.4443056Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_logging/_internal.py::set_logs:0, line 460 <- wrt source file 2025-12-04T09:07:40.4444238Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_logging/_internal.py::set_logs:0 2025-12-04T09:07:40.4445428Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_equal:0, line 171 <- wrt source file 2025-12-04T09:07:40.4513121Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_equal:0 2025-12-04T09:07:40.4514468Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::print_assert_equal:0, line 302 <- wrt source file 2025-12-04T09:07:40.4515801Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::print_assert_equal:0 2025-12-04T09:07:40.4517099Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_almost_equal:0, line 375 <- wrt source file 2025-12-04T09:07:40.4616544Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_almost_equal:0 2025-12-04T09:07:40.4617882Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_approx_equal:0, line 496 <- wrt source file 2025-12-04T09:07:40.4621151Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_approx_equal:0 2025-12-04T09:07:40.4622468Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_equal:0, line 793 <- wrt source file 2025-12-04T09:07:40.4806471Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_equal:0 2025-12-04T09:07:40.4807801Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal:0, line 899 <- wrt source file 2025-12-04T09:07:40.4912148Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal:0 2025-12-04T09:07:40.4913739Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0, line 1008 <- wrt source file 2025-12-04T09:07:40.5008080Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0 2025-12-04T09:07:40.5009543Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0, line 1073 <- wrt source file 2025-12-04T09:07:40.5010863Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0 2025-12-04T09:07:40.5012150Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0, line 1294 <- wrt source file 2025-12-04T09:07:40.5099013Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0 2025-12-04T09:07:40.5100370Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0, line 1360 <- wrt source file 2025-12-04T09:07:40.5105256Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0 2025-12-04T09:07:40.5106608Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0, line 1423 <- wrt source file 2025-12-04T09:07:40.5113397Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0 2025-12-04T09:07:40.5114654Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0, line 1468 <- wrt source file 2025-12-04T09:07:40.5115895Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0 2025-12-04T09:07:40.5117109Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_warns:0, line 1578 <- wrt source file 2025-12-04T09:07:40.5121922Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_warns:0 2025-12-04T09:07:40.5123225Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::clear_and_catch_warnings:0, line 1881 <- wrt source file 2025-12-04T09:07:40.5125761Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::clear_and_catch_warnings:0 2025-12-04T09:07:40.5127090Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims/context.py::TorchRefsMode:0, line 95 <- wrt source file 2025-12-04T09:07:40.5128468Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims/context.py::TorchRefsMode:0 2025-12-04T09:07:40.5129920Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/complex_tensor/_ops/common.py::is_complex_tensor:0, line 47 <- wrt source file 2025-12-04T09:07:40.5131525Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/complex_tensor/_ops/common.py::is_complex_tensor:0 2025-12-04T09:07:40.5132961Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/amp/grad_scaler.py::GradScaler:0, line 64 <- wrt source file 2025-12-04T09:07:40.5134350Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/amp/grad_scaler.py::GradScaler:0 2025-12-04T09:07:40.5135703Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0, line 34 <- wrt source file 2025-12-04T09:07:40.5145896Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0 2025-12-04T09:07:40.5147514Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0, line 24 <- wrt source file 2025-12-04T09:07:40.5149317Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0 2025-12-04T09:07:40.5150892Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0, line 25 <- wrt source file 2025-12-04T09:07:40.5152479Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0 2025-12-04T09:07:40.5154052Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0, line 67 <- wrt source file 2025-12-04T09:07:40.5155685Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0 2025-12-04T09:07:40.5157255Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0, line 142 <- wrt source file 2025-12-04T09:07:40.5158813Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0 2025-12-04T09:07:40.5160245Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0, line 29 <- wrt source file 2025-12-04T09:07:40.5293945Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0 2025-12-04T09:07:40.5297723Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0, line 413 <- wrt source file 2025-12-04T09:07:40.5386553Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0 2025-12-04T09:07:40.5391510Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0, line 210 <- wrt source file 2025-12-04T09:07:40.5393080Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0 2025-12-04T09:07:40.5394479Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0, line 282 <- wrt source file 2025-12-04T09:07:40.5395784Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0 2025-12-04T09:07:40.5397044Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0, line 358 <- wrt source file 2025-12-04T09:07:40.5398333Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0 2025-12-04T09:07:40.5399635Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0, line 95 <- wrt source file 2025-12-04T09:07:40.5402418Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0 2025-12-04T09:07:40.5403774Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0, line 145 <- wrt source file 2025-12-04T09:07:40.5409938Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0 2025-12-04T09:07:40.5411816Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0, line 43 <- wrt source file 2025-12-04T09:07:40.5413538Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0 2025-12-04T09:07:40.5415186Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0, line 126 <- wrt source file 2025-12-04T09:07:40.5416863Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0 2025-12-04T09:07:40.5418341Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0, line 212 <- wrt source file 2025-12-04T09:07:40.5419761Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0 2025-12-04T09:07:40.5421213Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0, line 300 <- wrt source file 2025-12-04T09:07:40.5422754Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0 2025-12-04T09:07:40.5424312Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0, line 383 <- wrt source file 2025-12-04T09:07:40.5425844Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0 2025-12-04T09:07:40.5427339Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0, line 466 <- wrt source file 2025-12-04T09:07:40.5428944Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0 2025-12-04T09:07:40.5430604Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0, line 30 <- wrt source file 2025-12-04T09:07:40.5432202Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0 2025-12-04T09:07:40.5433718Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0, line 516 <- wrt source file 2025-12-04T09:07:40.5435289Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0 2025-12-04T09:07:40.5436631Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0, line 803 <- wrt source file 2025-12-04T09:07:40.5438003Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0 2025-12-04T09:07:40.5439376Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0, line 1209 <- wrt source file 2025-12-04T09:07:40.5440787Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0 2025-12-04T09:07:40.5442165Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0, line 1276 <- wrt source file 2025-12-04T09:07:40.5443595Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0 2025-12-04T09:07:40.5445078Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0, line 1329 <- wrt source file 2025-12-04T09:07:40.5446497Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0 2025-12-04T09:07:40.5447929Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0, line 36 <- wrt source file 2025-12-04T09:07:40.5449308Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0 2025-12-04T09:07:40.5450622Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv1d:0, line 376 <- wrt source file 2025-12-04T09:07:40.5451931Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv1d:0 2025-12-04T09:07:40.5453211Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0, line 506 <- wrt source file 2025-12-04T09:07:40.5454503Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0 2025-12-04T09:07:40.5455786Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0, line 636 <- wrt source file 2025-12-04T09:07:40.5457096Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0 2025-12-04T09:07:40.5458432Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0, line 893 <- wrt source file 2025-12-04T09:07:40.5459840Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0 2025-12-04T09:07:40.5461239Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0, line 1015 <- wrt source file 2025-12-04T09:07:40.5462921Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0 2025-12-04T09:07:40.5465783Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0, line 1141 <- wrt source file 2025-12-04T09:07:40.5468574Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0 2025-12-04T09:07:40.5471451Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0, line 111 <- wrt source file 2025-12-04T09:07:40.5505516Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0 2025-12-04T09:07:40.5508524Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0, line 275 <- wrt source file 2025-12-04T09:07:40.5525763Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0 2025-12-04T09:07:40.5529031Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0, line 23 <- wrt source file 2025-12-04T09:07:40.5533579Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0 2025-12-04T09:07:40.5536577Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0, line 176 <- wrt source file 2025-12-04T09:07:40.5539796Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0 2025-12-04T09:07:40.5542523Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0, line 135 <- wrt source file 2025-12-04T09:07:40.5545344Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0 2025-12-04T09:07:40.5547812Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/rnn.py::LSTM:0, line 24 <- wrt source file 2025-12-04T09:07:40.5550319Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/rnn.py::LSTM:0 2025-12-04T09:07:40.5553430Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py::BaseDataScheduler.get_schedule_param:0, line 98 <- wrt source file 2025-12-04T09:07:40.5584161Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py::BaseDataScheduler.get_schedule_param:0 2025-12-04T09:07:40.5587714Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0, line 55 <- wrt source file 2025-12-04T09:07:40.5591187Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0 2025-12-04T09:07:40.5594262Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0, line 24 <- wrt source file 2025-12-04T09:07:40.5597056Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0 2025-12-04T09:07:40.5599881Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0, line 47 <- wrt source file 2025-12-04T09:07:40.5602832Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0 2025-12-04T09:07:40.5605841Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier.squash_mask:0, line 251 <- wrt source file 2025-12-04T09:07:40.5609051Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier.squash_mask:0 2025-12-04T09:07:40.5611902Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0, line 175 <- wrt source file 2025-12-04T09:07:40.5614573Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0 2025-12-04T09:07:40.5617261Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0, line 32 <- wrt source file 2025-12-04T09:07:40.5620118Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0 2025-12-04T09:07:40.5622946Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0, line 83 <- wrt source file 2025-12-04T09:07:40.5625945Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0 2025-12-04T09:07:40.5628981Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0, line 143 <- wrt source file 2025-12-04T09:07:40.5632457Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0 2025-12-04T09:07:40.5635485Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0, line 182 <- wrt source file 2025-12-04T09:07:40.5642780Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0 2025-12-04T09:07:40.5645549Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_args:0, line 110 <- wrt source file 2025-12-04T09:07:40.5648121Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_args:0 2025-12-04T09:07:40.5650728Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0, line 132 <- wrt source file 2025-12-04T09:07:40.5653485Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0 2025-12-04T09:07:40.5656063Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0, line 218 <- wrt source file 2025-12-04T09:07:40.5658598Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0 2025-12-04T09:07:40.5661154Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0, line 288 <- wrt source file 2025-12-04T09:07:40.5663779Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0 2025-12-04T09:07:40.5666388Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0, line 427 <- wrt source file 2025-12-04T09:07:40.5669108Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0 2025-12-04T09:07:40.5671876Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0, line 608 <- wrt source file 2025-12-04T09:07:40.5674502Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0 2025-12-04T09:07:40.5677201Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0, line 668 <- wrt source file 2025-12-04T09:07:40.5680082Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0 2025-12-04T09:07:40.5683029Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0, line 720 <- wrt source file 2025-12-04T09:07:40.5686144Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0 2025-12-04T09:07:40.5688990Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0, line 51 <- wrt source file 2025-12-04T09:07:40.5691687Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0 2025-12-04T09:07:40.5694362Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0, line 130 <- wrt source file 2025-12-04T09:07:40.5697446Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0 2025-12-04T09:07:40.5700287Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0, line 228 <- wrt source file 2025-12-04T09:07:40.5702986Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0 2025-12-04T09:07:40.5705666Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0, line 171 <- wrt source file 2025-12-04T09:07:40.5708270Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0 2025-12-04T09:07:40.5710848Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0, line 553 <- wrt source file 2025-12-04T09:07:40.5713476Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0 2025-12-04T09:07:40.5716121Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0, line 575 <- wrt source file 2025-12-04T09:07:40.5718819Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0 2025-12-04T09:07:40.5721448Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0, line 589 <- wrt source file 2025-12-04T09:07:40.5724153Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0 2025-12-04T09:07:40.5726738Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0, line 611 <- wrt source file 2025-12-04T09:07:40.5729371Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0 2025-12-04T09:07:40.5731932Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0, line 738 <- wrt source file 2025-12-04T09:07:40.5734531Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0 2025-12-04T09:07:40.5737296Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/backend_config/backend_config.py::DTypeConfig:0, line 216 <- wrt source file 2025-12-04T09:07:40.5740339Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/backend_config/backend_config.py::DTypeConfig:0 2025-12-04T09:07:40.5743353Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0, line 85 <- wrt source file 2025-12-04T09:07:40.5746527Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0 2025-12-04T09:07:40.5749516Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report.py::ModelReport:0, line 85 <- wrt source file 2025-12-04T09:07:40.5752486Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report.py::ModelReport:0 2025-12-04T09:07:40.5755932Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_filtered_tables:0, line 341 <- wrt source file 2025-12-04T09:07:40.5760003Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_filtered_tables:0 2025-12-04T09:07:40.5764009Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_table_visualization:0, line 429 <- wrt source file 2025-12-04T09:07:40.5768089Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_table_visualization:0 2025-12-04T09:07:40.5772182Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_plot_visualization:0, line 591 <- wrt source file 2025-12-04T09:07:40.5776206Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_plot_visualization:0 2025-12-04T09:07:40.5780258Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_histogram_visualization:0, line 664 <- wrt source file 2025-12-04T09:07:40.5784461Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_histogram_visualization:0 2025-12-04T09:07:40.5787971Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0, line 104 <- wrt source file 2025-12-04T09:07:40.5791113Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0 2025-12-04T09:07:40.5794160Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0, line 155 <- wrt source file 2025-12-04T09:07:40.5797260Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0 2025-12-04T09:07:40.5800245Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0, line 189 <- wrt source file 2025-12-04T09:07:40.5803267Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0 2025-12-04T09:07:40.5806345Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0, line 442 <- wrt source file 2025-12-04T09:07:40.5809515Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0 2025-12-04T09:07:40.5812304Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0, line 28 <- wrt source file 2025-12-04T09:07:40.5814836Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0 2025-12-04T09:07:40.5817223Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::make_dual:0, line 82 <- wrt source file 2025-12-04T09:07:40.5819560Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::make_dual:0 2025-12-04T09:07:40.5821911Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::unpack_dual:0, line 151 <- wrt source file 2025-12-04T09:07:40.5824598Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::unpack_dual:0 2025-12-04T09:07:40.5827042Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::dual_level:0, line 187 <- wrt source file 2025-12-04T09:07:40.5829417Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::dual_level:0 2025-12-04T09:07:40.5831968Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0, line 72 <- wrt source file 2025-12-04T09:07:40.5834749Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0 2025-12-04T09:07:40.5837507Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0, line 116 <- wrt source file 2025-12-04T09:07:40.5840269Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0 2025-12-04T09:07:40.5842914Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0, line 169 <- wrt source file 2025-12-04T09:07:40.5845579Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0 2025-12-04T09:07:40.5848347Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0, line 216 <- wrt source file 2025-12-04T09:07:40.5851282Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0 2025-12-04T09:07:40.5854131Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0, line 245 <- wrt source file 2025-12-04T09:07:40.5857015Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0 2025-12-04T09:07:40.5859577Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py::Function:0, line 487 <- wrt source file 2025-12-04T09:07:40.5861906Z * SKIPPED: 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DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hessian:0, line 907 <- wrt source file 2025-12-04T09:07:40.5880514Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hessian:0 2025-12-04T09:07:40.5882974Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vhp:0, line 1026 <- wrt source file 2025-12-04T09:07:40.5885278Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vhp:0 2025-12-04T09:07:40.5888802Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hvp:0, line 1125 <- wrt source file 2025-12-04T09:07:40.5891109Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hvp:0 2025-12-04T09:07:40.5893332Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::no_grad:0, line 50 <- wrt source file 2025-12-04T09:07:40.5895635Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::no_grad:0 2025-12-04T09:07:40.5897937Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::enable_grad:0, line 108 <- wrt source file 2025-12-04T09:07:40.5900321Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::enable_grad:0 2025-12-04T09:07:40.5902724Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0, line 166 <- wrt source file 2025-12-04T09:07:40.5905307Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0 2025-12-04T09:07:40.5907733Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::inference_mode:0, line 252 <- wrt source file 2025-12-04T09:07:40.5910197Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::inference_mode:0 2025-12-04T09:07:40.5912510Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.name:0, line 60 <- wrt source file 2025-12-04T09:07:40.5914818Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.name:0 2025-12-04T09:07:40.5917166Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.register_hook:0, line 117 <- wrt source file 2025-12-04T09:07:40.5919643Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.register_hook:0 2025-12-04T09:07:40.5922105Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.register_prehook:0, line 154 <- wrt source file 2025-12-04T09:07:40.5924653Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.register_prehook:0 2025-12-04T09:07:40.5927115Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0, line 292 <- wrt source file 2025-12-04T09:07:40.5929612Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0 2025-12-04T09:07:40.5931936Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::save_on_cpu:0, line 362 <- wrt source file 2025-12-04T09:07:40.5934239Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::save_on_cpu:0 2025-12-04T09:07:40.5936694Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0, line 419 <- wrt source file 2025-12-04T09:07:40.5939426Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0 2025-12-04T09:07:40.5941975Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0, line 503 <- wrt source file 2025-12-04T09:07:40.5944733Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0 2025-12-04T09:07:40.5947409Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0, line 777 <- wrt source file 2025-12-04T09:07:40.5950160Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0 2025-12-04T09:07:40.5952640Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler.py::profile:0, line 182 <- wrt source file 2025-12-04T09:07:40.5954955Z * SKIPPED: 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2025-12-04T09:07:40.5971620Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler_util.py::EventList:0, line 60 <- wrt source file 2025-12-04T09:07:40.5974101Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler_util.py::EventList:0 2025-12-04T09:07:40.5976409Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_register_buffer:0, line 43 <- wrt source file 2025-12-04T09:07:40.5978721Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_register_buffer:0 2025-12-04T09:07:40.5981050Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0, line 59 <- wrt source file 2025-12-04T09:07:40.5983414Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0 2025-12-04T09:07:40.5985652Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::GdsFile:0, line 86 <- wrt source file 2025-12-04T09:07:40.5987784Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::GdsFile:0 2025-12-04T09:07:40.5990012Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0, line 114 <- wrt source file 2025-12-04T09:07:40.5992371Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0 2025-12-04T09:07:40.5994671Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1, line 125 <- wrt source file 2025-12-04T09:07:40.5997028Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1 2025-12-04T09:07:40.5999350Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2, line 140 <- wrt source file 2025-12-04T09:07:40.6001885Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2 2025-12-04T09:07:40.6004354Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0, line 173 <- wrt source file 2025-12-04T09:07:40.6007119Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0 2025-12-04T09:07:40.6009488Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/profiler.py::profile:0, line 75 <- wrt source file 2025-12-04T09:07:40.6011724Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/profiler.py::profile:0 2025-12-04T09:07:40.6014183Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.composition:0, line 125 <- wrt source file 2025-12-04T09:07:40.6016973Z * SKIPPED: 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SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0 2025-12-04T09:07:40.6035930Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0, line 1027 <- wrt source file 2025-12-04T09:07:40.6038747Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0 2025-12-04T09:07:40.6041402Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::init_device_mesh:0, line 1317 <- wrt source file 2025-12-04T09:07:40.6044042Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::init_device_mesh:0 2025-12-04T09:07:40.6046738Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::_coalescing_manager:0, line 2652 <- wrt source file 2025-12-04T09:07:40.6049584Z * SKIPPED: 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* SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::scatter_object_list:0 2025-12-04T09:07:40.6101802Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather:0, line 3947 <- wrt source file 2025-12-04T09:07:40.6104477Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather:0 2025-12-04T09:07:40.6107174Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather_into_tensor:0, line 4054 <- wrt source file 2025-12-04T09:07:40.6110071Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather_into_tensor:0 2025-12-04T09:07:40.6112904Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather_coalesced:0, line 4192 <- wrt source file 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SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::reduce_scatter_tensor:0 2025-12-04T09:07:40.6134568Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_to_all_single:0, line 4663 <- wrt source file 2025-12-04T09:07:40.6137372Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_to_all_single:0 2025-12-04T09:07:40.6140017Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_to_all:0, line 4797 <- wrt source file 2025-12-04T09:07:40.6142619Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_to_all:0 2025-12-04T09:07:40.6145354Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::monitored_barrier:0, line 5009 <- wrt source file 2025-12-04T09:07:40.6148146Z * 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SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/launch.py::__doc__:0 2025-12-04T09:07:40.6166421Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/run.py::__doc__:0, line 57 <- wrt source file 2025-12-04T09:07:40.6168692Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/run.py::__doc__:0 2025-12-04T09:07:40.6171188Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/autograd/__init__.py::context:0, line 47 <- wrt source file 2025-12-04T09:07:40.6173746Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/autograd/__init__.py::context:0 2025-12-04T09:07:40.6176474Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_composable/checkpoint_activation.py::checkpoint:0, line 53 <- wrt source file 2025-12-04T09:07:40.6179472Z * SKIPPED: 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SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_composable/replicate_with_fsdp.py::replicate:0 2025-12-04T09:07:40.6199199Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_shard/sharded_optim/__init__.py::named_params_with_sharded_tensor:0, line 31 <- wrt source file 2025-12-04T09:07:40.6202430Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_shard/sharded_optim/__init__.py::named_params_with_sharded_tensor:0 2025-12-04T09:07:40.6205528Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py::init_from_local_shards:0, line 384 <- wrt source file 2025-12-04T09:07:40.6208606Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py::init_from_local_shards:0 2025-12-04T09:07:40.6211627Z * DOCTEST : 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DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/format_utils.py::DynamicMetaLoadPlanner:0, line 173 <- wrt source file 2025-12-04T09:07:40.6454683Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/format_utils.py::DynamicMetaLoadPlanner:0 2025-12-04T09:07:40.6457783Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/optimizer.py::load_sharded_optimizer_state_dict:0, line 228 <- wrt source file 2025-12-04T09:07:40.6461058Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/optimizer.py::load_sharded_optimizer_state_dict:0 2025-12-04T09:07:40.6464075Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict.py::get_state_dict:0, line 1276 <- wrt source file 2025-12-04T09:07:40.6466913Z * SKIPPED: 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2025-12-04T09:07:40.6899419Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::RowwiseParallel:0, line 198 <- wrt source file 2025-12-04T09:07:40.6902321Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::RowwiseParallel:0 2025-12-04T09:07:40.6905248Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::SequenceParallel:0, line 350 <- wrt source file 2025-12-04T09:07:40.6908172Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::SequenceParallel:0 2025-12-04T09:07:40.6911082Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInput:0, line 452 <- wrt source file 2025-12-04T09:07:40.6914077Z * SKIPPED: 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2025-12-04T09:07:40.6931482Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/bernoulli.py::Bernoulli:0 2025-12-04T09:07:40.6933810Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/beta.py::Beta:0, line 21 <- wrt source file 2025-12-04T09:07:40.6936085Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/beta.py::Beta:0 2025-12-04T09:07:40.6938436Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/binomial.py::Binomial:0, line 31 <- wrt source file 2025-12-04T09:07:40.6940887Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/binomial.py::Binomial:0 2025-12-04T09:07:40.6943365Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/categorical.py::Categorical:0, line 42 <- wrt source file 2025-12-04T09:07:40.6946002Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/categorical.py::Categorical:0 2025-12-04T09:07:40.6948417Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/cauchy.py::Cauchy:0, line 23 <- wrt source file 2025-12-04T09:07:40.6950853Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/cauchy.py::Cauchy:0 2025-12-04T09:07:40.6953100Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/chi2.py::Chi2:0, line 18 <- wrt source file 2025-12-04T09:07:40.6955433Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/chi2.py::Chi2:0 2025-12-04T09:07:40.6957852Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::is_dependent:0, line 167 <- wrt source file 2025-12-04T09:07:40.6960469Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::is_dependent:0 2025-12-04T09:07:40.6963119Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::_DependentProperty:0, line 188 <- wrt source file 2025-12-04T09:07:40.6965900Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::_DependentProperty:0 2025-12-04T09:07:40.6968738Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0, line 35 <- wrt source file 2025-12-04T09:07:40.6971930Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0 2025-12-04T09:07:40.6974620Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/dirichlet.py::Dirichlet:0, line 44 <- wrt source file 2025-12-04T09:07:40.6977137Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/dirichlet.py::Dirichlet:0 2025-12-04T09:07:40.6979641Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/exponential.py::Exponential:0, line 20 <- wrt source file 2025-12-04T09:07:40.6982248Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/exponential.py::Exponential:0 2025-12-04T09:07:40.6984943Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0, line 21 <- wrt source file 2025-12-04T09:07:40.6987709Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0 2025-12-04T09:07:40.6990164Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gamma.py::Gamma:0, line 24 <- wrt source file 2025-12-04T09:07:40.6992438Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gamma.py::Gamma:0 2025-12-04T09:07:40.6994994Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0, line 26 <- wrt source file 2025-12-04T09:07:40.6997895Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0 2025-12-04T09:07:40.7000527Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/geometric.py::Geometric:0, line 36 <- wrt source file 2025-12-04T09:07:40.7003011Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/geometric.py::Geometric:0 2025-12-04T09:07:40.7005373Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gumbel.py::Gumbel:0, line 23 <- wrt source file 2025-12-04T09:07:40.7007724Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gumbel.py::Gumbel:0 2025-12-04T09:07:40.7010154Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0, line 24 <- wrt source file 2025-12-04T09:07:40.7012861Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0 2025-12-04T09:07:40.7015451Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_normal.py::HalfNormal:0, line 24 <- wrt source file 2025-12-04T09:07:40.7018000Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_normal.py::HalfNormal:0 2025-12-04T09:07:40.7020547Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/independent.py::Independent:0, line 27 <- wrt source file 2025-12-04T09:07:40.7023168Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/independent.py::Independent:0 2025-12-04T09:07:40.7025806Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0, line 24 <- wrt source file 2025-12-04T09:07:40.7028462Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0 2025-12-04T09:07:40.7031040Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0, line 30 <- wrt source file 2025-12-04T09:07:40.7033653Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0 2025-12-04T09:07:40.7036095Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/laplace.py::Laplace:0, line 20 <- wrt source file 2025-12-04T09:07:40.7038511Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/laplace.py::Laplace:0 2025-12-04T09:07:40.7040951Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0, line 43 <- wrt source file 2025-12-04T09:07:40.7043549Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0 2025-12-04T09:07:40.7046031Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/log_normal.py::LogNormal:0, line 23 <- wrt source file 2025-12-04T09:07:40.7048549Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/log_normal.py::LogNormal:0 2025-12-04T09:07:40.7051129Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0, line 28 <- wrt source file 2025-12-04T09:07:40.7053886Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0 2025-12-04T09:07:40.7056850Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lowrank_multivariate_normal.py::LowRankMultivariateNormal:0, line 63 <- wrt source file 2025-12-04T09:07:40.7060118Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lowrank_multivariate_normal.py::LowRankMultivariateNormal:0 2025-12-04T09:07:40.7063150Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/mixture_same_family.py::MixtureSameFamily:0, line 24 <- wrt source file 2025-12-04T09:07:40.7066066Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/mixture_same_family.py::MixtureSameFamily:0 2025-12-04T09:07:40.7068759Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multinomial.py::Multinomial:0, line 38 <- wrt source file 2025-12-04T09:07:40.7071487Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multinomial.py::Multinomial:0 2025-12-04T09:07:40.7074355Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0, line 103 <- wrt source file 2025-12-04T09:07:40.7077427Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0 2025-12-04T09:07:40.7080015Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/normal.py::Normal:0, line 22 <- wrt source file 2025-12-04T09:07:40.7082376Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/normal.py::Normal:0 2025-12-04T09:07:40.7084951Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0, line 34 <- wrt source file 2025-12-04T09:07:40.7087857Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0 2025-12-04T09:07:40.7090429Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/pareto.py::Pareto:0, line 20 <- wrt source file 2025-12-04T09:07:40.7092801Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/pareto.py::Pareto:0 2025-12-04T09:07:40.7095131Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/poisson.py::Poisson:0, line 25 <- wrt source file 2025-12-04T09:07:40.7097543Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/poisson.py::Poisson:0 2025-12-04T09:07:40.7100127Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0, line 130 <- wrt source file 2025-12-04T09:07:40.7102988Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0 2025-12-04T09:07:40.7105956Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0, line 117 <- wrt source file 2025-12-04T09:07:40.7109039Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0 2025-12-04T09:07:40.7111721Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/studentT.py::StudentT:0, line 22 <- wrt source file 2025-12-04T09:07:40.7114165Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/studentT.py::StudentT:0 2025-12-04T09:07:40.7116649Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CatTransform:0, line 1076 <- wrt source file 2025-12-04T09:07:40.7119286Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CatTransform:0 2025-12-04T09:07:40.7121871Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::StackTransform:0, line 1190 <- wrt source file 2025-12-04T09:07:40.7124548Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::StackTransform:0 2025-12-04T09:07:40.7127408Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0, line 1268 <- wrt source file 2025-12-04T09:07:40.7130495Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0 2025-12-04T09:07:40.7133158Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/uniform.py::Uniform:0, line 21 <- wrt source file 2025-12-04T09:07:40.7135646Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/uniform.py::Uniform:0 2025-12-04T09:07:40.7138051Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/utils.py::clamp_probs:0, line 114 <- wrt source file 2025-12-04T09:07:40.7140559Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/utils.py::clamp_probs:0 2025-12-04T09:07:40.7142969Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/von_mises.py::VonMises:0, line 119 <- wrt source file 2025-12-04T09:07:40.7145456Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/von_mises.py::VonMises:0 2025-12-04T09:07:40.7147841Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/weibull.py::Weibull:0, line 22 <- wrt source file 2025-12-04T09:07:40.7150257Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/weibull.py::Weibull:0 2025-12-04T09:07:40.7152609Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/wishart.py::Wishart:0, line 39 <- wrt source file 2025-12-04T09:07:40.7155022Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/wishart.py::Wishart:0 2025-12-04T09:07:40.7157452Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/_unlift.py::_convert_guards_code_to_fn:0, line 158 <- wrt source file 2025-12-04T09:07:40.7160029Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/_unlift.py::_convert_guards_code_to_fn:0 2025-12-04T09:07:40.7162435Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::Dim:0, line 123 <- wrt source file 2025-12-04T09:07:40.7164744Z * SKIPPED: 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/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/utils/matcher_with_name_node_map_utils.py::SubgraphMatcherWithNameNodeMap:0, line 51 <- wrt source file 2025-12-04T09:07:40.7490468Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/utils/matcher_with_name_node_map_utils.py::SubgraphMatcherWithNameNodeMap:0 2025-12-04T09:07:40.7493466Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0, line 37 <- wrt source file 2025-12-04T09:07:40.7496146Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0 2025-12-04T09:07:40.7498767Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_load_for_lite_interpreter:0, line 22 <- wrt source file 2025-12-04T09:07:40.7501459Z * SKIPPED: 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/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/_ops.py::logaddexp:0 2025-12-04T09:07:40.7519319Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0, line 25 <- wrt source file 2025-12-04T09:07:40.7521965Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0 2025-12-04T09:07:40.7524630Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0, line 470 <- wrt source file 2025-12-04T09:07:40.7527415Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0 2025-12-04T09:07:40.7530136Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0, line 589 <- wrt source file 2025-12-04T09:07:40.9986959Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0 2025-12-04T09:07:41.0128820Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::gumbel_softmax:0, line 2198 <- wrt source file 2025-12-04T09:07:41.0165074Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::gumbel_softmax:0 2025-12-04T09:07:41.0167765Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding:0, line 2503 <- wrt source file 2025-12-04T09:07:41.0179719Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding:0 2025-12-04T09:07:41.0181996Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding_bag:0, line 2645 <- wrt source file 2025-12-04T09:07:41.0253578Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding_bag:0 2025-12-04T09:07:41.0255833Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::ctc_loss:0, line 3087 <- wrt source file 2025-12-04T09:07:41.0340781Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::ctc_loss:0 2025-12-04T09:07:41.0343015Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::nll_loss:0, line 3157 <- wrt source file 2025-12-04T09:07:41.0411709Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::nll_loss:0 2025-12-04T09:07:41.0414380Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::cross_entropy:0, line 3476 <- wrt source file 2025-12-04T09:07:41.0452063Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::cross_entropy:0 2025-12-04T09:07:41.0454842Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy:0, line 3542 <- wrt source file 2025-12-04T09:07:41.0501454Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy:0 2025-12-04T09:07:41.0504161Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0, line 3613 <- wrt source file 2025-12-04T09:07:41.0532425Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0 2025-12-04T09:07:41.0534849Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::pad:0, line 5387 <- wrt source file 2025-12-04T09:07:41.0549393Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::pad:0 2025-12-04T09:07:41.0551518Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_input:0, line 32 <- wrt source file 2025-12-04T09:07:41.0642552Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_input:0 2025-12-04T09:07:41.0644728Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_weight:0, line 79 <- wrt source file 2025-12-04T09:07:41.0651683Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_weight:0 2025-12-04T09:07:41.0667476Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_input:0, line 130 <- wrt source file 2025-12-04T09:07:41.0685962Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_input:0 2025-12-04T09:07:41.0688106Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_weight:0, line 177 <- wrt source file 2025-12-04T09:07:41.0694654Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_weight:0 2025-12-04T09:07:41.0696847Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_input:0, line 228 <- wrt source file 2025-12-04T09:07:41.1410570Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_input:0 2025-12-04T09:07:41.1412821Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_weight:0, line 275 <- wrt source file 2025-12-04T09:07:41.1515297Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_weight:0 2025-12-04T09:07:41.1517519Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::calculate_gain:0, line 172 <- wrt source file 2025-12-04T09:07:41.1520255Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::calculate_gain:0 2025-12-04T09:07:41.1522368Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::uniform_:0, line 231 <- wrt source file 2025-12-04T09:07:41.1525500Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::uniform_:0 2025-12-04T09:07:41.1527557Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::normal_:0, line 258 <- wrt source file 2025-12-04T09:07:41.1530295Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::normal_:0 2025-12-04T09:07:41.1532400Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::trunc_normal_:0, line 293 <- wrt source file 2025-12-04T09:07:41.1548957Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::trunc_normal_:0 2025-12-04T09:07:41.1551084Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::constant_:0, line 307 <- wrt source file 2025-12-04T09:07:41.1554668Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::constant_:0 2025-12-04T09:07:41.1556699Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::ones_:0, line 324 <- wrt source file 2025-12-04T09:07:41.1559562Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::ones_:0 2025-12-04T09:07:41.1561557Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::zeros_:0, line 337 <- wrt source file 2025-12-04T09:07:41.1563847Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::zeros_:0 2025-12-04T09:07:41.1565852Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::eye_:0, line 353 <- wrt source file 2025-12-04T09:07:41.1570231Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::eye_:0 2025-12-04T09:07:41.1572245Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::dirac_:0, line 375 <- wrt source file 2025-12-04T09:07:41.1581008Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::dirac_:0 2025-12-04T09:07:41.1583134Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_uniform_:0, line 461 <- wrt source file 2025-12-04T09:07:41.1587495Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_uniform_:0 2025-12-04T09:07:41.1589688Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_normal_:0, line 493 <- wrt source file 2025-12-04T09:07:41.1592619Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_normal_:0 2025-12-04T09:07:41.1594789Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_uniform_:0, line 545 <- wrt source file 2025-12-04T09:07:41.1598402Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_uniform_:0 2025-12-04T09:07:41.1600601Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_normal_:0, line 610 <- wrt source file 2025-12-04T09:07:41.1603750Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_normal_:0 2025-12-04T09:07:41.1605914Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::orthogonal_:0, line 649 <- wrt source file 2025-12-04T09:07:41.1608088Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::orthogonal_:0 2025-12-04T09:07:41.1610186Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::sparse_:0, line 702 <- wrt source file 2025-12-04T09:07:41.1640819Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::sparse_:0 2025-12-04T09:07:41.1643064Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0, line 124 <- wrt source file 2025-12-04T09:07:41.1645518Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0 2025-12-04T09:07:41.1648115Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/_registry.py::register_flash_attention_impl:0, line 47 <- wrt source file 2025-12-04T09:07:41.1651027Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/_registry.py::register_flash_attention_impl:0 2025-12-04T09:07:41.1653796Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/_registry.py::activate_flash_attention_impl:0, line 78 <- wrt source file 2025-12-04T09:07:41.1656632Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/_registry.py::activate_flash_attention_impl:0 2025-12-04T09:07:41.1659280Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/bias.py::CausalBias:0, line 94 <- wrt source file 2025-12-04T09:07:41.1661847Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/bias.py::CausalBias:0 2025-12-04T09:07:41.1664354Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/varlen.py::varlen_attn:0, line 166 <- wrt source file 2025-12-04T09:07:41.1666788Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/varlen.py::varlen_attn:0 2025-12-04T09:07:41.1669168Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Threshold:0, line 72 <- wrt source file 2025-12-04T09:07:41.1676393Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Threshold:0 2025-12-04T09:07:41.1678743Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU:0, line 120 <- wrt source file 2025-12-04T09:07:41.1687120Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU:0 2025-12-04T09:07:41.1689417Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::RReLU:0, line 185 <- wrt source file 2025-12-04T09:07:41.1707951Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::RReLU:0 2025-12-04T09:07:41.1710293Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardtanh:0, line 247 <- wrt source file 2025-12-04T09:07:41.1715502Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardtanh:0 2025-12-04T09:07:41.1717845Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU6:0, line 318 <- wrt source file 2025-12-04T09:07:41.1721376Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU6:0 2025-12-04T09:07:41.1723706Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Sigmoid:0, line 349 <- wrt source file 2025-12-04T09:07:41.1727971Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Sigmoid:0 2025-12-04T09:07:41.1730368Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0, line 384 <- wrt source file 2025-12-04T09:07:41.1735698Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0 2025-12-04T09:07:41.1738053Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanh:0, line 420 <- wrt source file 2025-12-04T09:07:41.1742004Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanh:0 2025-12-04T09:07:41.1744370Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SiLU:0, line 456 <- wrt source file 2025-12-04T09:07:41.1759645Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SiLU:0 2025-12-04T09:07:41.1761933Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Mish:0, line 501 <- wrt source file 2025-12-04T09:07:41.1776155Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Mish:0 2025-12-04T09:07:41.1778531Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardswish:0, line 552 <- wrt source file 2025-12-04T09:07:41.1793614Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardswish:0 2025-12-04T09:07:41.1795936Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ELU:0, line 598 <- wrt source file 2025-12-04T09:07:41.1843931Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ELU:0 2025-12-04T09:07:41.1846228Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::CELU:0, line 646 <- wrt source file 2025-12-04T09:07:41.1850602Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::CELU:0 2025-12-04T09:07:41.1852892Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SELU:0, line 705 <- wrt source file 2025-12-04T09:07:41.1857934Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SELU:0 2025-12-04T09:07:41.1860217Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GLU:0, line 751 <- wrt source file 2025-12-04T09:07:41.1872892Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GLU:0 2025-12-04T09:07:41.1875163Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GELU:0, line 799 <- wrt source file 2025-12-04T09:07:41.1977089Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GELU:0 2025-12-04T09:07:41.1979466Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardshrink:0, line 848 <- wrt source file 2025-12-04T09:07:41.1994675Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardshrink:0 2025-12-04T09:07:41.1997101Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LeakyReLU:0, line 903 <- wrt source file 2025-12-04T09:07:41.2012196Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LeakyReLU:0 2025-12-04T09:07:41.2014606Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSigmoid:0, line 945 <- wrt source file 2025-12-04T09:07:41.2018525Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSigmoid:0 2025-12-04T09:07:41.2020935Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softplus:0, line 981 <- wrt source file 2025-12-04T09:07:41.2026319Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softplus:0 2025-12-04T09:07:41.2028740Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softshrink:0, line 1030 <- wrt source file 2025-12-04T09:07:41.2034076Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softshrink:0 2025-12-04T09:07:41.2036676Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0, line 1148 <- wrt source file 2025-12-04T09:07:41.2039368Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0 2025-12-04T09:07:41.2041824Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::PReLU:0, line 1613 <- wrt source file 2025-12-04T09:07:41.2054195Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::PReLU:0 2025-12-04T09:07:41.2056782Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softsign:0, line 1664 <- wrt source file 2025-12-04T09:07:41.2061724Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softsign:0 2025-12-04T09:07:41.2064327Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanhshrink:0, line 1690 <- wrt source file 2025-12-04T09:07:41.2068220Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanhshrink:0 2025-12-04T09:07:41.2070783Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmin:0, line 1728 <- wrt source file 2025-12-04T09:07:41.2075859Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmin:0 2025-12-04T09:07:41.2078289Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax:0, line 1792 <- wrt source file 2025-12-04T09:07:41.2082304Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax:0 2025-12-04T09:07:41.2084708Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax2d:0, line 1839 <- wrt source file 2025-12-04T09:07:41.2089560Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax2d:0 2025-12-04T09:07:41.2092401Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSoftmax:0, line 1878 <- wrt source file 2025-12-04T09:07:41.2095285Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSoftmax:0 2025-12-04T09:07:41.2097771Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0, line 341 <- wrt source file 2025-12-04T09:07:41.2175257Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0 2025-12-04T09:07:41.2177712Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0, line 453 <- wrt source file 2025-12-04T09:07:41.2810158Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0 2025-12-04T09:07:41.2943135Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0, line 565 <- wrt source file 2025-12-04T09:07:41.9128741Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0 2025-12-04T09:07:42.0307980Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0, line 690 <- wrt source file 2025-12-04T09:07:42.0310566Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0 2025-12-04T09:07:42.0313349Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm.convert_sync_batchnorm:0, line 857 <- wrt source file 2025-12-04T09:07:42.0316364Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm.convert_sync_batchnorm:0 2025-12-04T09:07:42.0319161Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0, line 21 <- wrt source file 2025-12-04T09:07:42.0380370Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0 2025-12-04T09:07:42.0383201Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential:0, line 81 <- wrt source file 2025-12-04T09:07:42.0385712Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential:0 2025-12-04T09:07:42.0388345Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.append:0, line 263 <- wrt source file 2025-12-04T09:07:42.0396918Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.append:0 2025-12-04T09:07:42.0399481Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.insert:0, line 286 <- wrt source file 2025-12-04T09:07:42.0409549Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.insert:0 2025-12-04T09:07:42.0412136Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.extend:0, line 317 <- wrt source file 2025-12-04T09:07:42.0423871Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.extend:0 2025-12-04T09:07:42.0426374Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleList:0, line 346 <- wrt source file 2025-12-04T09:07:42.0428818Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleList:0 2025-12-04T09:07:42.0431225Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleDict:0, line 529 <- wrt source file 2025-12-04T09:07:42.0433678Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleDict:0 2025-12-04T09:07:42.0436106Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterList:0, line 661 <- wrt source file 2025-12-04T09:07:42.0438632Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterList:0 2025-12-04T09:07:42.0441106Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterDict:0, line 819 <- wrt source file 2025-12-04T09:07:42.0443624Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterDict:0 2025-12-04T09:07:42.0446096Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0, line 38 <- wrt source file 2025-12-04T09:07:42.0448673Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0 2025-12-04T09:07:42.0451193Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0, line 81 <- wrt source file 2025-12-04T09:07:42.0462446Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0 2025-12-04T09:07:42.0464907Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout:0, line 60 <- wrt source file 2025-12-04T09:07:42.0470950Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout:0 2025-12-04T09:07:42.0473277Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout1d:0, line 108 <- wrt source file 2025-12-04T09:07:42.0481516Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout1d:0 2025-12-04T09:07:42.0484080Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout2d:0, line 163 <- wrt source file 2025-12-04T09:07:42.0548923Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout2d:0 2025-12-04T09:07:42.0557865Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout3d:0, line 211 <- wrt source file 2025-12-04T09:07:42.0801324Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout3d:0 2025-12-04T09:07:42.0833872Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0, line 257 <- wrt source file 2025-12-04T09:07:42.0844712Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0 2025-12-04T09:07:42.0847277Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0, line 309 <- wrt source file 2025-12-04T09:07:42.1094764Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0 2025-12-04T09:07:42.1127233Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Flatten:0, line 29 <- wrt source file 2025-12-04T09:07:42.1139832Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Flatten:0 2025-12-04T09:07:42.1142060Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Unflatten:0, line 86 <- wrt source file 2025-12-04T09:07:42.1171049Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Unflatten:0 2025-12-04T09:07:42.1173242Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Fold:0, line 224 <- wrt source file 2025-12-04T09:07:42.1182596Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Fold:0 2025-12-04T09:07:42.1184854Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Unfold:0, line 395 <- wrt source file 2025-12-04T09:07:42.1263672Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Unfold:0 2025-12-04T09:07:42.1266097Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0, line 188 <- wrt source file 2025-12-04T09:07:42.1297926Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0 2025-12-04T09:07:42.1300551Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0, line 304 <- wrt source file 2025-12-04T09:07:42.1936969Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0 2025-12-04T09:07:42.2016143Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0, line 420 <- wrt source file 2025-12-04T09:07:42.8193036Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0 2025-12-04T09:07:42.9150576Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0, line 77 <- wrt source file 2025-12-04T09:07:42.9154609Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0 2025-12-04T09:07:42.9157255Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Identity:0, line 34 <- wrt source file 2025-12-04T09:07:42.9165216Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Identity:0 2025-12-04T09:07:42.9167675Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Linear:0, line 83 <- wrt source file 2025-12-04T09:07:42.9197304Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Linear:0 2025-12-04T09:07:42.9199596Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Bilinear:0, line 191 <- wrt source file 2025-12-04T09:07:42.9313299Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Bilinear:0 2025-12-04T09:07:42.9315556Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::L1Loss:0, line 116 <- wrt source file 2025-12-04T09:07:42.9329100Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::L1Loss:0 2025-12-04T09:07:42.9331299Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::NLLLoss:0, line 213 <- wrt source file 2025-12-04T09:07:42.9408901Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::NLLLoss:0 2025-12-04T09:07:42.9411232Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0, line 327 <- wrt source file 2025-12-04T09:07:42.9432788Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0 2025-12-04T09:07:42.9435208Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0, line 416 <- wrt source file 2025-12-04T09:07:42.9482480Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0 2025-12-04T09:07:42.9484795Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::KLDivLoss:0, line 531 <- wrt source file 2025-12-04T09:07:42.9498507Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::KLDivLoss:0 2025-12-04T09:07:42.9500748Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MSELoss:0, line 613 <- wrt source file 2025-12-04T09:07:42.9538396Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MSELoss:0 2025-12-04T09:07:42.9540589Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCELoss:0, line 696 <- wrt source file 2025-12-04T09:07:42.9554153Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCELoss:0 2025-12-04T09:07:42.9556927Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0, line 762 <- wrt source file 2025-12-04T09:07:42.9578843Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0 2025-12-04T09:07:42.9581234Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1, line 810 <- wrt source file 2025-12-04T09:07:42.9592801Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1 2025-12-04T09:07:42.9595644Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0, line 958 <- wrt source file 2025-12-04T09:07:42.9612337Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0 2025-12-04T09:07:42.9614879Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0, line 1284 <- wrt source file 2025-12-04T09:07:42.9634640Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0 2025-12-04T09:07:42.9637085Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1, line 1311 <- wrt source file 2025-12-04T09:07:42.9639553Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1 2025-12-04T09:07:42.9642028Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0, line 1464 <- wrt source file 2025-12-04T09:07:42.9677365Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0 2025-12-04T09:07:42.9679841Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0, line 1531 <- wrt source file 2025-12-04T09:07:42.9693763Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0 2025-12-04T09:07:42.9696199Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0, line 1612 <- wrt source file 2025-12-04T09:07:42.9710112Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0 2025-12-04T09:07:42.9712541Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0, line 1714 <- wrt source file 2025-12-04T09:07:42.9750376Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0 2025-12-04T09:07:42.9753018Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0, line 1827 <- wrt source file 2025-12-04T09:07:42.9820534Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0 2025-12-04T09:07:42.9823011Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CTCLoss:0, line 1959 <- wrt source file 2025-12-04T09:07:42.9903738Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CTCLoss:0 2025-12-04T09:07:42.9906147Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.register_buffer:0, line 554 <- wrt source file 2025-12-04T09:07:42.9908797Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.register_buffer:0 2025-12-04T09:07:42.9911274Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.apply:0, line 1048 <- wrt source file 2025-12-04T09:07:42.9936905Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.apply:0 2025-12-04T09:07:42.9939242Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.to:0, line 1299 <- wrt source file 2025-12-04T09:07:42.9950503Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.to:0 2025-12-04T09:07:42.9952895Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.state_dict:0, line 2232 <- wrt source file 2025-12-04T09:07:42.9955432Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.state_dict:0 2025-12-04T09:07:42.9958290Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.parameters:0, line 2678 <- wrt source file 2025-12-04T09:07:42.9960994Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.parameters:0 2025-12-04T09:07:42.9963535Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_parameters:0, line 2706 <- wrt source file 2025-12-04T09:07:42.9966216Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_parameters:0 2025-12-04T09:07:42.9968736Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.buffers:0, line 2733 <- wrt source file 2025-12-04T09:07:42.9971373Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.buffers:0 2025-12-04T09:07:42.9973839Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_buffers:0, line 2760 <- wrt source file 2025-12-04T09:07:42.9976429Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_buffers:0 2025-12-04T09:07:42.9978977Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_children:0, line 2791 <- wrt source file 2025-12-04T09:07:42.9981605Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_children:0 2025-12-04T09:07:42.9984131Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.modules:0, line 2815 <- wrt source file 2025-12-04T09:07:42.9986601Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.modules:0 2025-12-04T09:07:42.9989062Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_modules:0, line 2853 <- wrt source file 2025-12-04T09:07:42.9991649Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_modules:0 2025-12-04T09:07:42.9994261Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0, line 38 <- wrt source file 2025-12-04T09:07:43.0122552Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0 2025-12-04T09:07:43.0126799Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LayerNorm:0, line 163 <- wrt source file 2025-12-04T09:07:43.0163776Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LayerNorm:0 2025-12-04T09:07:43.0166281Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::GroupNorm:0, line 274 <- wrt source file 2025-12-04T09:07:43.0199748Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::GroupNorm:0 2025-12-04T09:07:43.0202191Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::RMSNorm:0, line 369 <- wrt source file 2025-12-04T09:07:43.0210971Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::RMSNorm:0 2025-12-04T09:07:43.0213381Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad1d:0, line 70 <- wrt source file 2025-12-04T09:07:43.0222937Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad1d:0 2025-12-04T09:07:43.0225446Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad2d:0, line 123 <- wrt source file 2025-12-04T09:07:43.0287897Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad2d:0 2025-12-04T09:07:43.0290329Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad3d:0, line 189 <- wrt source file 2025-12-04T09:07:44.2285847Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad3d:0 2025-12-04T09:07:44.3566113Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0, line 244 <- wrt source file 2025-12-04T09:07:44.3581764Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0 2025-12-04T09:07:44.3584300Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0, line 298 <- wrt source file 2025-12-04T09:07:44.3591836Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0 2025-12-04T09:07:44.3594305Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0, line 355 <- wrt source file 2025-12-04T09:07:44.3672396Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0 2025-12-04T09:07:44.3683402Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0, line 401 <- wrt source file 2025-12-04T09:07:44.3712717Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0 2025-12-04T09:07:44.3715208Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0, line 446 <- wrt source file 2025-12-04T09:07:44.3732670Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0 2025-12-04T09:07:44.3735155Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0, line 505 <- wrt source file 2025-12-04T09:07:44.3750140Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0 2025-12-04T09:07:44.3752625Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0, line 565 <- wrt source file 2025-12-04T09:07:44.3769269Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0 2025-12-04T09:07:44.3771960Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0, line 610 <- wrt source file 2025-12-04T09:07:44.3788896Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0 2025-12-04T09:07:44.3791393Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0, line 669 <- wrt source file 2025-12-04T09:07:45.4843323Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0 2025-12-04T09:07:45.5861573Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0, line 704 <- wrt source file 2025-12-04T09:07:45.5878015Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0 2025-12-04T09:07:45.5880388Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0, line 762 <- wrt source file 2025-12-04T09:07:45.5887816Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0 2025-12-04T09:07:45.5890140Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0, line 824 <- wrt source file 2025-12-04T09:07:45.5968674Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0 2025-12-04T09:07:45.5979788Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0, line 40 <- wrt source file 2025-12-04T09:07:45.5998468Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0 2025-12-04T09:07:45.6001046Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0, line 99 <- wrt source file 2025-12-04T09:07:45.6023132Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0 2025-12-04T09:07:45.6025644Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0, line 129 <- wrt source file 2025-12-04T09:07:45.6056863Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0 2025-12-04T09:07:45.6059226Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0, line 207 <- wrt source file 2025-12-04T09:07:45.6205534Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0 2025-12-04T09:07:45.6214692Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0, line 291 <- wrt source file 2025-12-04T09:07:46.1137259Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0 2025-12-04T09:07:46.1472920Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0, line 366 <- wrt source file 2025-12-04T09:07:46.1504531Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0 2025-12-04T09:07:46.1506936Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0, line 452 <- wrt source file 2025-12-04T09:07:46.1546196Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0 2025-12-04T09:07:46.1548618Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0, line 550 <- wrt source file 2025-12-04T09:07:46.3374231Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0 2025-12-04T09:07:46.3508549Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0, line 642 <- wrt source file 2025-12-04T09:07:46.3549757Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0 2025-12-04T09:07:46.3552114Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0, line 738 <- wrt source file 2025-12-04T09:07:46.3667571Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0 2025-12-04T09:07:46.3677610Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0, line 855 <- wrt source file 2025-12-04T09:07:46.8494619Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0 2025-12-04T09:07:46.8919021Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0, line 946 <- wrt source file 2025-12-04T09:07:46.9043916Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0 2025-12-04T09:07:46.9050627Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0, line 1033 <- wrt source file 2025-12-04T09:07:47.1036868Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0 2025-12-04T09:07:47.1152314Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool1d:0, line 1156 <- wrt source file 2025-12-04T09:07:47.1170154Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool1d:0 2025-12-04T09:07:47.1172513Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool2d:0, line 1212 <- wrt source file 2025-12-04T09:07:47.1339179Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool2d:0 2025-12-04T09:07:47.1348258Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool3d:0, line 1276 <- wrt source file 2025-12-04T09:07:47.7339917Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool3d:0 2025-12-04T09:07:47.7738004Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0, line 1332 <- wrt source file 2025-12-04T09:07:47.7757514Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0 2025-12-04T09:07:47.7760109Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0, line 1367 <- wrt source file 2025-12-04T09:07:47.7773546Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0 2025-12-04T09:07:47.7776107Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0, line 1411 <- wrt source file 2025-12-04T09:07:47.7835856Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0 2025-12-04T09:07:47.7838441Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0, line 1459 <- wrt source file 2025-12-04T09:07:47.7853156Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0 2025-12-04T09:07:47.7855815Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0, line 1493 <- wrt source file 2025-12-04T09:07:47.7868120Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0 2025-12-04T09:07:47.7870867Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0, line 1533 <- wrt source file 2025-12-04T09:07:47.7920735Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0 2025-12-04T09:07:47.7923406Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNN:0, line 598 <- wrt source file 2025-12-04T09:07:47.7951479Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNN:0 2025-12-04T09:07:47.7953901Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTM:0, line 963 <- wrt source file 2025-12-04T09:07:47.8584242Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTM:0 2025-12-04T09:07:47.8586348Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRU:0, line 1305 <- wrt source file 2025-12-04T09:07:47.8654443Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRU:0 2025-12-04T09:07:47.8659578Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNNCell:0, line 1561 <- wrt source file 2025-12-04T09:07:47.8685823Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNNCell:0 2025-12-04T09:07:47.8688385Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTMCell:0, line 1683 <- wrt source file 2025-12-04T09:07:47.8713649Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTMCell:0 2025-12-04T09:07:47.8715903Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRUCell:0, line 1797 <- wrt source file 2025-12-04T09:07:47.8758949Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRUCell:0 2025-12-04T09:07:47.8762843Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding:0, line 71 <- wrt source file 2025-12-04T09:07:47.8785766Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding:0 2025-12-04T09:07:47.8788234Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0, line 243 <- wrt source file 2025-12-04T09:07:47.8796789Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0 2025-12-04T09:07:47.8799334Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0, line 324 <- wrt source file 2025-12-04T09:07:47.8822584Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0 2025-12-04T09:07:47.8825213Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0, line 523 <- wrt source file 2025-12-04T09:07:47.8835899Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0 2025-12-04T09:07:47.8838533Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer:0, line 91 <- wrt source file 2025-12-04T09:07:50.4517011Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer:0 2025-12-04T09:07:50.6798358Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0, line 267 <- wrt source file 2025-12-04T09:07:50.6799839Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0 2025-12-04T09:07:50.6801503Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0, line 345 <- wrt source file 2025-12-04T09:07:51.0334864Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0 2025-12-04T09:07:51.1093630Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0, line 578 <- wrt source file 2025-12-04T09:07:51.8662018Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0 2025-12-04T09:07:52.0108623Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0, line 702 <- wrt source file 2025-12-04T09:07:52.1228510Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0 2025-12-04T09:07:52.1342941Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0, line 1014 <- wrt source file 2025-12-04T09:07:52.3362065Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0 2025-12-04T09:07:52.3591161Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::Upsample:0, line 77 <- wrt source file 2025-12-04T09:07:52.3705364Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::Upsample:0 2025-12-04T09:07:52.3707911Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0, line 229 <- wrt source file 2025-12-04T09:07:52.3736434Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0 2025-12-04T09:07:52.3739112Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0, line 279 <- wrt source file 2025-12-04T09:07:52.3753428Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0 2025-12-04T09:07:52.3756055Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0, line 128 <- wrt source file 2025-12-04T09:07:52.3758684Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0 2025-12-04T09:07:52.3761388Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0, line 644 <- wrt source file 2025-12-04T09:07:52.3764227Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0 2025-12-04T09:07:52.3767152Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0, line 1451 <- wrt source file 2025-12-04T09:07:52.3770334Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0 2025-12-04T09:07:52.3773309Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.join:0, line 1838 <- wrt source file 2025-12-04T09:07:52.3776307Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.join:0 2025-12-04T09:07:52.3779375Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0, line 2004 <- wrt source file 2025-12-04T09:07:52.3782935Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0 2025-12-04T09:07:52.3786365Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1, line 2014 <- wrt source file 2025-12-04T09:07:52.3789613Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1 2025-12-04T09:07:52.3792888Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0, line 2049 <- wrt source file 2025-12-04T09:07:52.3796305Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0 2025-12-04T09:07:52.3799615Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_fused_optim:0, line 2107 <- wrt source file 2025-12-04T09:07:52.3802926Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_fused_optim:0 2025-12-04T09:07:52.3805840Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0, line 35 <- wrt source file 2025-12-04T09:07:52.3808594Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0 2025-12-04T09:07:52.3811041Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/init.py::skip_init:0, line 33 <- wrt source file 2025-12-04T09:07:52.3813275Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/init.py::skip_init:0 2025-12-04T09:07:52.3815850Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv2d_weight_memory_format:0, line 64 <- wrt source file 2025-12-04T09:07:52.3818805Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv2d_weight_memory_format:0 2025-12-04T09:07:52.3821715Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv3d_weight_memory_format:0, line 143 <- wrt source file 2025-12-04T09:07:52.3824746Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv3d_weight_memory_format:0 2025-12-04T09:07:52.3827513Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0, line 267 <- wrt source file 2025-12-04T09:07:52.3830108Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0 2025-12-04T09:07:52.3832637Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0, line 362 <- wrt source file 2025-12-04T09:07:52.3835248Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0 2025-12-04T09:07:52.3837828Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0, line 593 <- wrt source file 2025-12-04T09:07:52.3840484Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0 2025-12-04T09:07:52.3842869Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::identity:0, line 852 <- wrt source file 2025-12-04T09:07:52.3845194Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::identity:0 2025-12-04T09:07:52.3847543Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_unstructured:0, line 888 <- wrt source file 2025-12-04T09:07:52.3850145Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_unstructured:0 2025-12-04T09:07:52.3852547Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::l1_unstructured:0, line 931 <- wrt source file 2025-12-04T09:07:52.3854943Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::l1_unstructured:0 2025-12-04T09:07:52.3857321Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_structured:0, line 971 <- wrt source file 2025-12-04T09:07:52.3859776Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_structured:0 2025-12-04T09:07:52.3862129Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::ln_structured:0, line 1017 <- wrt source file 2025-12-04T09:07:52.3876662Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::ln_structured:0 2025-12-04T09:07:52.3879067Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::global_unstructured:0, line 1072 <- wrt source file 2025-12-04T09:07:52.3928999Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::global_unstructured:0 2025-12-04T09:07:52.3931434Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::custom_from_mask:0, line 1175 <- wrt source file 2025-12-04T09:07:52.3946969Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::custom_from_mask:0 2025-12-04T09:07:52.3949238Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::remove:0, line 1203 <- wrt source file 2025-12-04T09:07:52.3958669Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::remove:0 2025-12-04T09:07:52.3960875Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::is_pruned:0, line 1231 <- wrt source file 2025-12-04T09:07:52.3973274Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::is_pruned:0 2025-12-04T09:07:52.3975593Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0, line 359 <- wrt source file 2025-12-04T09:07:52.4042821Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0 2025-12-04T09:07:52.4045089Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_sequence:0, line 439 <- wrt source file 2025-12-04T09:07:52.4054266Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_sequence:0 2025-12-04T09:07:52.4056565Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0, line 500 <- wrt source file 2025-12-04T09:07:52.4101423Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0 2025-12-04T09:07:52.4103735Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pack_sequence:0, line 556 <- wrt source file 2025-12-04T09:07:52.4117381Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pack_sequence:0 2025-12-04T09:07:52.4120054Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0, line 584 <- wrt source file 2025-12-04T09:07:52.4155958Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0 2025-12-04T09:07:52.4158252Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0, line 314 <- wrt source file 2025-12-04T09:07:52.4169512Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0 2025-12-04T09:07:52.4172260Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0, line 347 <- wrt source file 2025-12-04T09:07:52.4185725Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0 2025-12-04T09:07:52.4188583Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/stateless.py::functional_call:0, line 193 <- wrt source file 2025-12-04T09:07:52.4193135Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/stateless.py::functional_call:0 2025-12-04T09:07:52.4195451Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0, line 134 <- wrt source file 2025-12-04T09:07:52.4217525Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0 2025-12-04T09:07:52.4219932Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0, line 156 <- wrt source file 2025-12-04T09:07:52.4229831Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0 2025-12-04T09:07:52.4232421Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0, line 315 <- wrt source file 2025-12-04T09:07:52.4235010Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0 2025-12-04T09:07:52.4237724Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py::sum_over_all_but_batch_and_last_n:0, line 178 <- wrt source file 2025-12-04T09:07:52.4242824Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py::sum_over_all_but_batch_and_last_n:0 2025-12-04T09:07:52.4245559Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0, line 357 <- wrt source file 2025-12-04T09:07:52.4247864Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0 2025-12-04T09:07:52.4250153Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0, line 483 <- wrt source file 2025-12-04T09:07:52.4252621Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0 2025-12-04T09:07:52.4254906Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::StepLR:0, line 608 <- wrt source file 2025-12-04T09:07:52.4257121Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::StepLR:0 2025-12-04T09:07:52.4259263Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0, line 695 <- wrt source file 2025-12-04T09:07:52.4261849Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0 2025-12-04T09:07:52.4264123Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0, line 791 <- wrt source file 2025-12-04T09:07:52.4266553Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0 2025-12-04T09:07:52.4268688Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LinearLR:0, line 898 <- wrt source file 2025-12-04T09:07:52.4271117Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LinearLR:0 2025-12-04T09:07:52.4273384Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0, line 1020 <- wrt source file 2025-12-04T09:07:52.4275882Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0 2025-12-04T09:07:52.4278154Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0, line 1097 <- wrt source file 2025-12-04T09:07:52.4280380Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0 2025-12-04T09:07:52.4282457Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0, line 1249 <- wrt source file 2025-12-04T09:07:52.4283959Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0 2025-12-04T09:07:52.4285429Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0, line 1378 <- wrt source file 2025-12-04T09:07:52.4286969Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0 2025-12-04T09:07:52.4288518Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0, line 1490 <- wrt source file 2025-12-04T09:07:52.4289820Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0 2025-12-04T09:07:52.4291049Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0, line 1863 <- wrt source file 2025-12-04T09:07:52.4292635Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0 2025-12-04T09:07:52.4295043Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0, line 2129 <- wrt source file 2025-12-04T09:07:52.4297756Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0 2025-12-04T09:07:52.4300412Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0, line 2211 <- wrt source file 2025-12-04T09:07:52.4303099Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0 2025-12-04T09:07:52.4305830Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1, line 2227 <- wrt source file 2025-12-04T09:07:52.4308221Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1 2025-12-04T09:07:52.4310489Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0, line 2367 <- wrt source file 2025-12-04T09:07:52.4313096Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0 2025-12-04T09:07:52.4315503Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/optimizer.py::Optimizer.load_state_dict:0, line 900 <- wrt source file 2025-12-04T09:07:52.4318077Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/optimizer.py::Optimizer.load_state_dict:0 2025-12-04T09:07:52.4320474Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:0, line 155 <- wrt source file 2025-12-04T09:07:52.4322843Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:0 2025-12-04T09:07:52.4324904Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:1, line 181 <- wrt source file 2025-12-04T09:07:52.4327125Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:1 2025-12-04T09:07:52.4329311Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::update_bn:0, line 350 <- wrt source file 2025-12-04T09:07:52.4331407Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::update_bn:0 2025-12-04T09:07:52.4333389Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::SWALR:0, line 409 <- wrt source file 2025-12-04T09:07:52.4335259Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::SWALR:0 2025-12-04T09:07:52.4337177Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/package/glob_group.py::GlobGroup:0, line 22 <- wrt source file 2025-12-04T09:07:52.4339183Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/package/glob_group.py::GlobGroup:0 2025-12-04T09:07:52.4341450Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::_KinetoProfile.toggle_collection_dynamic:0, line 317 <- wrt source file 2025-12-04T09:07:52.4344352Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::_KinetoProfile.toggle_collection_dynamic:0 2025-12-04T09:07:52.4346831Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::profile:0, line 659 <- wrt source file 2025-12-04T09:07:52.4349054Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::profile:0 2025-12-04T09:07:52.4351373Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0, line 342 <- wrt source file 2025-12-04T09:07:52.4353851Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0 2025-12-04T09:07:52.4356190Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_comparison.py::assert_close:0, line 1477 <- wrt source file 2025-12-04T09:07:52.4432939Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_comparison.py::assert_close:0 2025-12-04T09:07:52.4435100Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_creation.py::make_tensor:0, line 114 <- wrt source file 2025-12-04T09:07:52.4437336Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_creation.py::make_tensor:0 2025-12-04T09:07:52.4439665Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::parametrize:0, line 648 <- wrt source file 2025-12-04T09:07:52.4442448Z * SKIPPED: 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DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0, line 359 <- wrt source file 2025-12-04T09:07:52.4529957Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0 2025-12-04T09:07:52.4532165Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0, line 396 <- wrt source file 2025-12-04T09:07:52.4540475Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0 2025-12-04T09:07:52.4542747Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0, line 429 <- wrt source file 2025-12-04T09:07:52.4554064Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0 2025-12-04T09:07:52.4556291Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0, line 464 <- wrt source file 2025-12-04T09:07:52.4564556Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0 2025-12-04T09:07:52.4566828Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0, line 499 <- wrt source file 2025-12-04T09:07:52.4575832Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0 2025-12-04T09:07:52.4578071Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_map:0, line 536 <- wrt source file 2025-12-04T09:07:52.4591359Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_map:0 2025-12-04T09:07:52.4593603Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0, line 929 <- wrt source file 2025-12-04T09:07:52.4611851Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0 2025-12-04T09:07:52.4614218Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_dataclass:0, line 308 <- wrt source file 2025-12-04T09:07:52.4639891Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_dataclass:0 2025-12-04T09:07:52.4642207Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_constant:0, line 428 <- wrt source file 2025-12-04T09:07:52.4659403Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_constant:0 2025-12-04T09:07:52.4661620Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_is_leaf:0, line 1058 <- wrt source file 2025-12-04T09:07:52.4673903Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_is_leaf:0 2025-12-04T09:07:52.4676052Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_map:0, line 1497 <- wrt source file 2025-12-04T09:07:52.4688790Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_map:0 2025-12-04T09:07:52.4691155Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0, line 71 <- wrt source file 2025-12-04T09:07:52.4694222Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0 2025-12-04T09:07:52.4697106Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0, line 382 <- wrt source file 2025-12-04T09:07:52.4700138Z * SKIPPED: 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SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0 2025-12-04T09:07:52.4716873Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0, line 1257 <- wrt source file 2025-12-04T09:07:52.4719095Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0 2025-12-04T09:07:52.4721289Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::create_selective_checkpoint_contexts:0, line 1421 <- wrt source file 2025-12-04T09:07:52.4735136Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::create_selective_checkpoint_contexts:0 2025-12-04T09:07:52.4737918Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CppExtension:0, line 1247 <- wrt source file 2025-12-04T09:07:52.4740307Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CppExtension:0 2025-12-04T09:07:52.4742628Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0, line 1319 <- wrt source file 2025-12-04T09:07:52.4745142Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0 2025-12-04T09:07:52.4747302Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1, line 1397 <- wrt source file 2025-12-04T09:07:52.4749638Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1 2025-12-04T09:07:52.4751726Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::SyclExtension:0, line 1509 <- wrt source file 2025-12-04T09:07:52.4753802Z * SKIPPED: 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2025-12-04T09:07:52.4790970Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0, line 78 <- wrt source file 2025-12-04T09:07:52.4793642Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0 2025-12-04T09:07:52.4796078Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0, line 742 <- wrt source file 2025-12-04T09:07:52.5367613Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0 2025-12-04T09:07:52.5370354Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::IterableDataset:0, line 94 <- wrt source file 2025-12-04T09:07:52.5388327Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::IterableDataset:0 2025-12-04T09:07:52.5390666Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::StackDataset:0, line 218 <- wrt source file 2025-12-04T09:07:52.5393055Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::StackDataset:0 2025-12-04T09:07:52.5395272Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::random_split:0, line 438 <- wrt source file 2025-12-04T09:07:52.5397545Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::random_split:0 2025-12-04T09:07:52.5399760Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/distributed.py::DistributedSampler:0, line 55 <- wrt source file 2025-12-04T09:07:52.5401836Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/distributed.py::DistributedSampler:0 2025-12-04T09:07:52.5404104Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::Sampler:0, line 36 <- wrt source file 2025-12-04T09:07:52.5406282Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::Sampler:0 2025-12-04T09:07:52.5408310Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0, line 225 <- wrt source file 2025-12-04T09:07:52.5432802Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0 2025-12-04T09:07:52.5435215Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::BatchSampler:0, line 296 <- wrt source file 2025-12-04T09:07:52.5445744Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::BatchSampler:0 2025-12-04T09:07:52.5448134Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_convert:0, line 39 <- wrt source file 2025-12-04T09:07:52.5455587Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_convert:0 2025-12-04T09:07:52.5458026Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::collate:0, line 137 <- wrt source file 2025-12-04T09:07:52.5467036Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::collate:0 2025-12-04T09:07:52.5469459Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_collate:0, line 367 <- wrt source file 2025-12-04T09:07:52.5483314Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_collate:0 2025-12-04T09:07:52.5485891Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0, line 97 <- wrt source file 2025-12-04T09:07:52.5492305Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0 2025-12-04T09:07:52.5494884Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0, line 269 <- wrt source file 2025-12-04T09:07:52.5497488Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0 2025-12-04T09:07:52.5500169Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0, line 53 <- wrt source file 2025-12-04T09:07:52.5503131Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0 2025-12-04T09:07:52.5506040Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0, line 202 <- wrt source file 2025-12-04T09:07:52.5508978Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0 2025-12-04T09:07:52.5511702Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0, line 90 <- wrt source file 2025-12-04T09:07:52.5514772Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0 2025-12-04T09:07:52.5517546Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0, line 38 <- wrt source file 2025-12-04T09:07:52.5627328Z * SKIPPED: 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source file 2025-12-04T09:07:52.5644979Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::DemultiplexerIterDataPipe:0 2025-12-04T09:07:52.5648012Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0, line 615 <- wrt source file 2025-12-04T09:07:52.5651163Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0 2025-12-04T09:07:52.5654074Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0, line 685 <- wrt source file 2025-12-04T09:07:52.5656986Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0 2025-12-04T09:07:52.5659785Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0, line 29 <- wrt source file 2025-12-04T09:07:52.5662789Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0 2025-12-04T09:07:52.5665828Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0, line 33 <- wrt source file 2025-12-04T09:07:52.5668819Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0 2025-12-04T09:07:52.5672086Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0, line 41 <- wrt source file 2025-12-04T09:07:52.5675017Z * SKIPPED: 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source file 2025-12-04T09:07:52.5692486Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0 2025-12-04T09:07:52.5695449Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0, line 24 <- wrt source file 2025-12-04T09:07:52.5698655Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0 2025-12-04T09:07:52.5701461Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0, line 29 <- wrt source file 2025-12-04T09:07:52.5704414Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0 2025-12-04T09:07:52.5707504Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0, line 36 <- wrt source file 2025-12-04T09:07:52.5710218Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0 2025-12-04T09:07:52.5713181Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0, line 34 <- wrt source file 2025-12-04T09:07:52.5716158Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0 2025-12-04T09:07:52.5718808Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0, line 29 <- wrt source file 2025-12-04T09:07:52.5721573Z * SKIPPED: 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file 2025-12-04T09:07:52.5737497Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0 2025-12-04T09:07:52.5740027Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0, line 37 <- wrt source file 2025-12-04T09:07:52.5742537Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0 2025-12-04T09:07:52.5745053Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0, line 47 <- wrt source file 2025-12-04T09:07:52.5747545Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0 2025-12-04T09:07:52.5749911Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0, line 439 <- wrt source file 2025-12-04T09:07:53.1980234Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0 2025-12-04T09:07:53.1982979Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0, line 535 <- wrt source file 2025-12-04T09:07:53.1985849Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0 2025-12-04T09:07:53.1988523Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0, line 217 <- wrt source file 2025-12-04T09:07:53.1991230Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0 2025-12-04T09:07:53.1994309Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0, line 322 <- wrt source file 2025-12-04T09:07:53.1997141Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0 2025-12-04T09:07:53.2000073Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0, line 370 <- wrt source file 2025-12-04T09:07:53.2002841Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0 2025-12-04T09:07:53.2005563Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0, line 402 <- wrt source file 2025-12-04T09:07:53.2008372Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0 2025-12-04T09:07:53.2010820Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0, line 450 <- wrt source file 2025-12-04T09:07:53.2012984Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0 2025-12-04T09:07:53.2015598Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0, line 489 <- wrt source file 2025-12-04T09:07:53.2017939Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0 2025-12-04T09:07:53.2020494Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0, line 542 <- wrt source file 2025-12-04T09:07:53.2023220Z * SKIPPED: 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2025-12-04T09:07:53.2038860Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0 2025-12-04T09:07:53.2041439Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0, line 887 <- wrt source file 2025-12-04T09:07:53.2043964Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0 2025-12-04T09:07:53.2046657Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0, line 998 <- wrt source file 2025-12-04T09:07:53.2049392Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0 2025-12-04T09:07:53.2052338Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0, line 1072 <- wrt source file 2025-12-04T09:07:53.2055392Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0 2025-12-04T09:07:53.2058514Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0, line 1093 <- wrt source file 2025-12-04T09:07:53.2061568Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0 2025-12-04T09:07:53.2064583Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0, line 1118 <- wrt source file 2025-12-04T09:07:53.2067365Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0 2025-12-04T09:07:53.2070026Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0, line 1164 <- wrt source file 2025-12-04T09:07:53.2072295Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0 2025-12-04T09:07:53.2073457Z ============ 2025-12-04T09:07:53.2073866Z Finished doctests 2025-12-04T09:07:53.2074201Z 378 / 894 passed 2025-12-04T09:07:53.2074564Z  2025-12-04T09:07:53.2075019Z === Found 17 parse-time warnings === 2025-12-04T09:07:53.2075637Z --- Parse Warning: 1 / 17 --- 2025-12-04T09:07:53.2077754Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=368. 2025-12-04T09:07:53.2079680Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:53.2080643Z Registers the function implementation as the fallback for the given key. 2025-12-04T09:07:53.2081316Z 2025-12-04T09:07:53.2081824Z This function only works for a library with global namespace ("_"). 2025-12-04T09:07:53.2082468Z 2025-12-04T09:07:53.2082756Z Args: 2025-12-04T09:07:53.2083395Z fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel` 2025-12-04T09:07:53.2084192Z to register a fallthrough. 2025-12-04T09:07:53.2085043Z dispatch_key: dispatch key that the input function should be registered for. By default, it uses 2025-12-04T09:07:53.2085951Z the dispatch key that the library was created with. 2025-12-04T09:07:53.2086994Z with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument 2025-12-04T09:07:53.2088280Z to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls. 2025-12-04T09:07:53.2089100Z 2025-12-04T09:07:53.2089420Z Example:: 2025-12-04T09:07:53.2089772Z 2025-12-04T09:07:53.2090099Z >>> my_lib = Library("_", "IMPL") 2025-12-04T09:07:53.2090662Z >>> def fallback_kernel(op, *args, **kwargs): 2025-12-04T09:07:53.2091236Z >>> # Handle all autocast ops generically 2025-12-04T09:07:53.2091748Z >>> # ... 2025-12-04T09:07:53.2092220Z >>> my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T09:07:53.2092757Z 2025-12-04T09:07:53.2094000Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7)) 2025-12-04T09:07:53.2095289Z 2025-12-04T09:07:53.2095899Z my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T09:07:53.2096429Z ^ 2025-12-04T09:07:53.2096858Z warnings.warn(msg) 2025-12-04T09:07:53.2097245Z 2025-12-04T09:07:53.2097755Z --- Parse Warning: 2 / 17 --- 2025-12-04T09:07:53.2099450Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=958. 2025-12-04T09:07:53.2101311Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:53.2102235Z Register a FakeTensor implementation ("fake impl") for this operator. 2025-12-04T09:07:53.2102907Z 2025-12-04T09:07:53.2103337Z Also sometimes known as a "meta kernel", "abstract impl". 2025-12-04T09:07:53.2104005Z 2025-12-04T09:07:53.2104547Z An "FakeTensor implementation" specifies the behavior of this operator on 2025-12-04T09:07:53.2105452Z Tensors that carry no data ("FakeTensor"). Given some input Tensors with 2025-12-04T09:07:53.2106331Z certain properties (sizes/strides/storage_offset/device), it specifies 2025-12-04T09:07:53.2107088Z what the properties of the output Tensors are. 2025-12-04T09:07:53.2107601Z 2025-12-04T09:07:53.2108116Z The FakeTensor implementation has the same signature as the operator. 2025-12-04T09:07:53.2108976Z It is run for both FakeTensors and meta tensors. To write a FakeTensor 2025-12-04T09:07:53.2109824Z implementation, assume that all Tensor inputs to the operator are 2025-12-04T09:07:53.2110664Z regular CPU/CUDA/Meta tensors, but they do not have storage, and 2025-12-04T09:07:53.2111472Z you are trying to return regular CPU/CUDA/Meta tensor(s) as output. 2025-12-04T09:07:53.2112349Z The FakeTensor implementation must consist of only PyTorch operations 2025-12-04T09:07:53.2113228Z (and may not directly access the storage or data of any input or 2025-12-04T09:07:53.2113861Z intermediate Tensors). 2025-12-04T09:07:53.2114280Z 2025-12-04T09:07:53.2114679Z This API may be used as a decorator (see examples). 2025-12-04T09:07:53.2115194Z 2025-12-04T09:07:53.2115579Z For a detailed guide on custom ops, please see 2025-12-04T09:07:53.2116339Z https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html 2025-12-04T09:07:53.2117006Z 2025-12-04T09:07:53.2117286Z Args: 2025-12-04T09:07:53.2117825Z op_name: Operator name (along with the overload) or OpOverload object. 2025-12-04T09:07:53.2118538Z func: Fake tensor implementation. 2025-12-04T09:07:53.2119157Z lib (Optional[Library]): Library to register the fake tensor to. 2025-12-04T09:07:53.2119937Z allow_override: Flag controlling if we want to override an 2025-12-04T09:07:53.2120670Z existing registered fake impl. This is by default off, 2025-12-04T09:07:53.2121382Z and will error you're trying to register a fake impl to 2025-12-04T09:07:53.2122098Z an operator that already has a fake impl. This also only 2025-12-04T09:07:53.2139119Z applies if the custom operator was not created via 2025-12-04T09:07:53.2139949Z torch.library.custom_op, as overriding and existing fake 2025-12-04T09:07:53.2140612Z impl is already allowed. 2025-12-04T09:07:53.2141094Z 2025-12-04T09:07:53.2141404Z Examples: 2025-12-04T09:07:53.2141753Z >>> import torch 2025-12-04T09:07:53.2142178Z >>> import numpy as np 2025-12-04T09:07:53.2142637Z >>> from torch import Tensor 2025-12-04T09:07:53.2143091Z >>> 2025-12-04T09:07:53.2143654Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T09:07:53.2144629Z >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=()) 2025-12-04T09:07:53.2145386Z >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T09:07:53.2146276Z >>> raise NotImplementedError("Implementation goes here") 2025-12-04T09:07:53.2146850Z >>> 2025-12-04T09:07:53.2147334Z >>> @torch.library.register_fake("mylib::custom_linear") 2025-12-04T09:07:53.2147977Z >>> def _(x, weight, bias): 2025-12-04T09:07:53.2148530Z >>> assert x.dim() == 2 2025-12-04T09:07:53.2149071Z >>> assert weight.dim() == 2 2025-12-04T09:07:53.2149626Z >>> assert bias.dim() == 1 2025-12-04T09:07:53.2150213Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T09:07:53.2150861Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T09:07:53.2151505Z >>> assert x.device == weight.device 2025-12-04T09:07:53.2152082Z >>> 2025-12-04T09:07:53.2152523Z >>> return (x @ weight.t()) + bias 2025-12-04T09:07:53.2153086Z >>> 2025-12-04T09:07:53.2153616Z >>> with torch._subclasses.fake_tensor.FakeTensorMode(): 2025-12-04T09:07:53.2154308Z >>> x = torch.randn(2, 3) 2025-12-04T09:07:53.2154870Z >>> w = torch.randn(3, 3) 2025-12-04T09:07:53.2155422Z >>> b = torch.randn(3) 2025-12-04T09:07:53.2156017Z >>> y = torch.ops.mylib.custom_linear(x, w, b) 2025-12-04T09:07:53.2156590Z >>> 2025-12-04T09:07:53.2156936Z >>> assert y.shape == (2, 3) 2025-12-04T09:07:53.2157359Z >>> 2025-12-04T09:07:53.2157808Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T09:07:53.2158625Z >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=()) 2025-12-04T09:07:53.2159370Z >>> def custom_nonzero(x: Tensor) -> Tensor: 2025-12-04T09:07:53.2159925Z >>> x_np = x.numpy(force=True) 2025-12-04T09:07:53.2160520Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T09:07:53.2161173Z >>> return torch.tensor(res, device=x.device) 2025-12-04T09:07:53.2161724Z >>> 2025-12-04T09:07:53.2162250Z >>> @torch.library.register_fake("mylib::custom_nonzero") 2025-12-04T09:07:53.2162928Z >>> def _(x): 2025-12-04T09:07:53.2163467Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T09:07:53.2164186Z >>> # Since we cannot peek at the data in an fake impl, 2025-12-04T09:07:53.2164946Z >>> # we use the ctx object to construct a new symint that 2025-12-04T09:07:53.2165658Z >>> # represents the data-dependent size. 2025-12-04T09:07:53.2166272Z >>> ctx = torch.library.get_ctx() 2025-12-04T09:07:53.2166878Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T09:07:53.2167462Z >>> shape = [nnz, x.dim()] 2025-12-04T09:07:53.2168088Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T09:07:53.2168733Z >>> return result 2025-12-04T09:07:53.2169216Z >>> 2025-12-04T09:07:53.2169949Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2025-12-04T09:07:53.2170597Z >>> 2025-12-04T09:07:53.2171007Z >>> x = torch.tensor([0, 1, 2, 3, 4, 0]) 2025-12-04T09:07:53.2171827Z >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x) 2025-12-04T09:07:53.2172660Z >>> trace.print_readable() 2025-12-04T09:07:53.2173182Z >>> 2025-12-04T09:07:53.2173794Z >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x)) 2025-12-04T09:07:53.2174542Z 2025-12-04T09:07:53.2174866Z 2025-12-04T09:07:53.2176038Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('', 38, 1, '_._ = None\n', 38, 2)) 2025-12-04T09:07:53.2177390Z 2025-12-04T09:07:53.2177914Z _._ = None 2025-12-04T09:07:53.2178296Z ^ 2025-12-04T09:07:53.2178650Z warnings.warn(msg) 2025-12-04T09:07:53.2179224Z 2025-12-04T09:07:53.2179827Z --- Parse Warning: 3 / 17 --- 2025-12-04T09:07:53.2181714Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=get_kernel in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=1530. 2025-12-04T09:07:53.2184031Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:53.2185103Z Returns the computed kernel for a given operator and dispatch key. 2025-12-04T09:07:53.2185844Z 2025-12-04T09:07:53.2186449Z This function retrieves the kernel that would be executed for a given 2025-12-04T09:07:53.2187475Z operator and dispatch key combination. The returned SafeKernelFunction 2025-12-04T09:07:53.2188513Z can be used to call the kernel in a boxed fashion. The intended use 2025-12-04T09:07:53.2189432Z case for this function is to retrieve the original kernel for a given 2025-12-04T09:07:53.2190275Z dispatch key and then register another kernel to the same dispatch key 2025-12-04T09:07:53.2191174Z that calls into the original kernel for certain cases. 2025-12-04T09:07:53.2191826Z 2025-12-04T09:07:53.2192170Z Args: 2025-12-04T09:07:53.2192706Z op: Operator name (along with the overload) or OpOverload object 2025-12-04T09:07:53.2193574Z Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef. 2025-12-04T09:07:53.2194538Z dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for. 2025-12-04T09:07:53.2195383Z Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value. 2025-12-04T09:07:53.2196010Z 2025-12-04T09:07:53.2196305Z Returns: 2025-12-04T09:07:53.2196870Z torch._C._SafeKernelFunction: A safe kernel function that can be used to 2025-12-04T09:07:53.2197697Z call the kernel. 2025-12-04T09:07:53.2198174Z 2025-12-04T09:07:53.2198523Z Raises: 2025-12-04T09:07:53.2198991Z RuntimeError: If the operator does not exist. 2025-12-04T09:07:53.2199577Z 2025-12-04T09:07:53.2199876Z Example: 2025-12-04T09:07:53.2200243Z >>> # Get the CPU kernel for torch.add 2025-12-04T09:07:53.2200801Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU") 2025-12-04T09:07:53.2201196Z >>> 2025-12-04T09:07:53.2201439Z >>> # You can also use DispatchKey enum 2025-12-04T09:07:53.2201935Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU) 2025-12-04T09:07:53.2202407Z >>> 2025-12-04T09:07:53.2202739Z >>> # Or use an OpOverload directly 2025-12-04T09:07:53.2203433Z >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU") 2025-12-04T09:07:53.2203879Z >>> 2025-12-04T09:07:53.2204226Z >>> # Example: Using get_kernel in a custom op with conditional dispatch 2025-12-04T09:07:53.2204682Z >>> # Get the original kernel for torch.sin 2025-12-04T09:07:53.2205139Z >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU") 2025-12-04T09:07:53.2205558Z >>> 2025-12-04T09:07:53.2205900Z >>> # If input has negative values, use original sin, otherwise return zeros 2025-12-04T09:07:53.2206387Z >>> def conditional_sin_impl(dispatch_keys, x): 2025-12-04T09:07:53.2206737Z >>> if (x < 0).any(): 2025-12-04T09:07:53.2207118Z >>> return original_sin_kernel.call_boxed(dispatch_keys, x) 2025-12-04T09:07:53.2207498Z >>> else: 2025-12-04T09:07:53.2207773Z >>> return torch.zeros_like(x) 2025-12-04T09:07:53.2208085Z >>> 2025-12-04T09:07:53.2208460Z >>> lib = torch.library.Library("aten", "IMPL") 2025-12-04T09:07:53.2208976Z >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet 2025-12-04T09:07:53.2209603Z >>> which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T09:07:53.2210090Z >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True) 2025-12-04T09:07:53.2210487Z >>> 2025-12-04T09:07:53.2210742Z >>> # Test the conditional behavior 2025-12-04T09:07:53.2211098Z >>> x_positive = torch.tensor([1.0, 2.0]) 2025-12-04T09:07:53.2211437Z >>> x_mixed = torch.tensor([-1.0, 2.0]) 2025-12-04T09:07:53.2211776Z >>> torch.sin(x_positive) 2025-12-04T09:07:53.2212080Z tensor([0., 0.]) 2025-12-04T09:07:53.2212346Z >>> torch.sin(x_mixed) 2025-12-04T09:07:53.2212640Z tensor([-0.8415, 0.9093]) 2025-12-04T09:07:53.2212920Z 2025-12-04T09:07:53.2213509Z Original Error: SyntaxError('invalid syntax', ('', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12)) 2025-12-04T09:07:53.2214190Z 2025-12-04T09:07:53.2214486Z which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T09:07:53.2214867Z ^ 2025-12-04T09:07:53.2215074Z warnings.warn(msg) 2025-12-04T09:07:53.2215324Z 2025-12-04T09:07:53.2215697Z --- Parse Warning: 4 / 17 --- 2025-12-04T09:07:53.2216817Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=is_available in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py line=70. 2025-12-04T09:07:53.2218092Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:53.2218711Z Check if the current accelerator is available at runtime: it was build, all the 2025-12-04T09:07:53.2219296Z required drivers are available and at least one device is visible. 2025-12-04T09:07:53.2219773Z See :ref:`accelerator` for details. 2025-12-04T09:07:53.2220122Z 2025-12-04T09:07:53.2220324Z Returns: 2025-12-04T09:07:53.2220725Z bool: A boolean indicating if there is an available :ref:`accelerator`. 2025-12-04T09:07:53.2221201Z 2025-12-04T09:07:53.2221553Z .. note:: This API delegates to the device-specific version of `is_available`. 2025-12-04T09:07:53.2222165Z On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set, 2025-12-04T09:07:53.2222792Z this function will NOT poison fork. Otherwise, it will. For more details, see 2025-12-04T09:07:53.2223307Z :ref:`multiprocessing-poison-fork-note`. 2025-12-04T09:07:53.2223753Z 2025-12-04T09:07:53.2223944Z Example:: 2025-12-04T09:07:53.2224166Z 2025-12-04T09:07:53.2224546Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:07:53.2225011Z 2025-12-04T09:07:53.2225690Z Original Error: SyntaxError('invalid syntax', ('', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78)) 2025-12-04T09:07:53.2226440Z 2025-12-04T09:07:53.2226797Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:07:53.2227276Z ^ 2025-12-04T09:07:53.2227721Z warnings.warn(msg) 2025-12-04T09:07:53.2227972Z 2025-12-04T09:07:53.2228264Z --- Parse Warning: 5 / 17 --- 2025-12-04T09:07:53.2229394Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py line=239. 2025-12-04T09:07:53.2230662Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:53.2231323Z Wait for all kernels in all streams on the given device to complete. 2025-12-04T09:07:53.2231715Z 2025-12-04T09:07:53.2231912Z Args: 2025-12-04T09:07:53.2232432Z device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match 2025-12-04T09:07:53.2233353Z the current :ref:`accelerator` device type. If not given, 2025-12-04T09:07:53.2233939Z use :func:`torch.accelerator.current_device_index` by default. 2025-12-04T09:07:53.2234392Z 2025-12-04T09:07:53.2234840Z .. note:: This function is a no-op if the current :ref:`accelerator` is not initialized. 2025-12-04T09:07:53.2235358Z 2025-12-04T09:07:53.2235558Z Example:: 2025-12-04T09:07:53.2235779Z 2025-12-04T09:07:53.2236020Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-12-04T09:07:53.2236547Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:07:53.2237083Z >>> start_event = torch.Event(enable_timing=True) 2025-12-04T09:07:53.2237481Z >>> end_event = torch.Event(enable_timing=True) 2025-12-04T09:07:53.2237846Z >>> start_event.record() 2025-12-04T09:07:53.2238282Z >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator()) 2025-12-04T09:07:53.2238756Z >>> sum = torch.sum(tensor) 2025-12-04T09:07:53.2239071Z >>> end_event.record() 2025-12-04T09:07:53.2239385Z >>> torch.accelerator.synchronize() 2025-12-04T09:07:53.2239794Z >>> elapsed_time_ms = start_event.elapsed_time(end_event) 2025-12-04T09:07:53.2240167Z 2025-12-04T09:07:53.2240834Z Original Error: SyntaxError('invalid syntax', ('', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78)) 2025-12-04T09:07:53.2241596Z 2025-12-04T09:07:53.2241975Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:07:53.2242462Z ^ 2025-12-04T09:07:53.2242763Z warnings.warn(msg) 2025-12-04T09:07:53.2243015Z 2025-12-04T09:07:53.2243342Z --- Parse Warning: 6 / 17 --- 2025-12-04T09:07:53.2244406Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py line=448. 2025-12-04T09:07:53.2245605Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:53.2246095Z Retrieves the CUDA runtime API module. 2025-12-04T09:07:53.2246404Z 2025-12-04T09:07:53.2246582Z 2025-12-04T09:07:53.2246943Z This function initializes the CUDA runtime environment if it is not already 2025-12-04T09:07:53.2247545Z initialized and returns the CUDA runtime API module (_cudart). The CUDA 2025-12-04T09:07:53.2248106Z runtime API module provides access to various CUDA runtime functions. 2025-12-04T09:07:53.2248524Z 2025-12-04T09:07:53.2248715Z Args: 2025-12-04T09:07:53.2248914Z ``None`` 2025-12-04T09:07:53.2249146Z 2025-12-04T09:07:53.2249339Z Returns: 2025-12-04T09:07:53.2249604Z module: The CUDA runtime API module (_cudart). 2025-12-04T09:07:53.2249941Z 2025-12-04T09:07:53.2250138Z Raises: 2025-12-04T09:07:53.2250490Z RuntimeError: If CUDA cannot be re-initialized in a forked subprocess. 2025-12-04T09:07:53.2251200Z AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable. 2025-12-04T09:07:53.2251759Z 2025-12-04T09:07:53.2252002Z Example of CUDA operations with profiling: 2025-12-04T09:07:53.2252335Z >>> import torch 2025-12-04T09:07:53.2252646Z >>> from torch.cuda import cudart, check_error 2025-12-04T09:07:53.2252987Z >>> import os 2025-12-04T09:07:53.2253221Z >>> 2025-12-04T09:07:53.2253605Z >>> os.environ["CUDA_PROFILE"] = "1" 2025-12-04T09:07:53.2253924Z >>> 2025-12-04T09:07:53.2254242Z >>> def perform_cuda_operations_with_streams(): 2025-12-04T09:07:53.2254612Z >>> stream = torch.cuda.Stream() 2025-12-04T09:07:53.2254958Z >>> with torch.cuda.stream(stream): 2025-12-04T09:07:53.2255308Z >>> x = torch.randn(100, 100, device='cuda') 2025-12-04T09:07:53.2255681Z >>> y = torch.randn(100, 100, device='cuda') 2025-12-04T09:07:53.2256027Z >>> z = torch.mul(x, y) 2025-12-04T09:07:53.2256334Z >>> return z 2025-12-04T09:07:53.2256578Z >>> 2025-12-04T09:07:53.2256826Z >>> torch.cuda.synchronize() 2025-12-04T09:07:53.2257178Z >>> print("====== Start nsys profiling ======") 2025-12-04T09:07:53.2257553Z >>> check_error(cudart().cudaProfilerStart()) 2025-12-04T09:07:53.2257945Z >>> with torch.autograd.profiler.emit_nvtx(): 2025-12-04T09:07:53.2258348Z >>> result = perform_cuda_operations_with_streams() 2025-12-04T09:07:53.2258732Z >>> print("CUDA operations completed.") 2025-12-04T09:07:53.2259135Z >>> check_error(torch.cuda.cudart().cudaProfilerStop()) 2025-12-04T09:07:53.2259542Z >>> print("====== End nsys profiling ======") 2025-12-04T09:07:53.2259865Z 2025-12-04T09:07:53.2260162Z To run this example and save the profiling information, execute: 2025-12-04T09:07:53.2260838Z >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T09:07:53.2261392Z 2025-12-04T09:07:53.2261733Z This command profiles the CUDA operations in the provided script and saves 2025-12-04T09:07:53.2262290Z the profiling information to a file named `trace_name.prof`. 2025-12-04T09:07:53.2262834Z The `--profile-from-start off` option ensures that profiling starts only 2025-12-04T09:07:53.2263334Z after the `cudaProfilerStart` call in the script. 2025-12-04T09:07:53.2263904Z The `--csv` and `--print-summary` options format the profiling output as a 2025-12-04T09:07:53.2264389Z CSV file and print a summary, respectively. 2025-12-04T09:07:53.2264880Z The `-o` option specifies the output file name, and the `-f` option forces the 2025-12-04T09:07:53.2265509Z overwrite of the output file if it already exists. 2025-12-04T09:07:53.2266049Z 2025-12-04T09:07:53.2267140Z Original Error: SyntaxError('invalid syntax', ('', 1, 1, '$ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py\n', 1, 2)) 2025-12-04T09:07:53.2267988Z 2025-12-04T09:07:53.2268440Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T09:07:53.2268986Z ^ 2025-12-04T09:07:53.2269193Z warnings.warn(msg) 2025-12-04T09:07:53.2269440Z 2025-12-04T09:07:53.2269979Z --- Parse Warning: 7 / 17 --- 2025-12-04T09:07:53.2271053Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=39. 2025-12-04T09:07:53.2272249Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:53.2272688Z 2025-12-04T09:07:53.2273020Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that 2025-12-04T09:07:53.2273560Z maps ``func`` over some dimension of the inputs. Semantically, vmap 2025-12-04T09:07:53.2274075Z pushes the map into PyTorch operations called by ``func``, effectively 2025-12-04T09:07:53.2274518Z vectorizing those operations. 2025-12-04T09:07:53.2274804Z 2025-12-04T09:07:53.2275117Z vmap is useful for handling batch dimensions: one can write a function 2025-12-04T09:07:53.2275776Z ``func`` that runs on examples and then lift it to a function that can 2025-12-04T09:07:53.2276306Z take batches of examples with ``vmap(func)``. vmap can also be used to 2025-12-04T09:07:53.2276893Z compute batched gradients when composed with autograd. 2025-12-04T09:07:53.2277242Z 2025-12-04T09:07:53.2277445Z .. note:: 2025-12-04T09:07:53.2277761Z :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for 2025-12-04T09:07:53.2278183Z convenience. Use whichever one you'd like. 2025-12-04T09:07:53.2278506Z 2025-12-04T09:07:53.2278704Z Args: 2025-12-04T09:07:53.2279023Z func (function): A Python function that takes one or more arguments. 2025-12-04T09:07:53.2279470Z Must return one or more Tensors. 2025-12-04T09:07:53.2279898Z in_dims (int or nested structure): Specifies which dimension of the 2025-12-04T09:07:53.2280390Z inputs should be mapped over. ``in_dims`` should have a 2025-12-04T09:07:53.2280863Z structure like the inputs. If the ``in_dim`` for a particular 2025-12-04T09:07:53.2281363Z input is None, then that indicates there is no map dimension. 2025-12-04T09:07:53.2281769Z Default: 0. 2025-12-04T09:07:53.2282109Z out_dims (int or Tuple[int]): Specifies where the mapped dimension 2025-12-04T09:07:53.2282619Z should appear in the outputs. If ``out_dims`` is a Tuple, then 2025-12-04T09:07:53.2283086Z it should have one element per output. Default: 0. 2025-12-04T09:07:53.2283529Z randomness (str): Specifies whether the randomness in this 2025-12-04T09:07:53.2284041Z vmap should be the same or different across batches. If 'different', 2025-12-04T09:07:53.2284567Z the randomness for each batch will be different. If 'same', the 2025-12-04T09:07:53.2285095Z randomness will be the same across batches. If 'error', any calls to 2025-12-04T09:07:53.2285626Z random functions will error. Default: 'error'. WARNING: this flag 2025-12-04T09:07:53.2286158Z only applies to random PyTorch operations and does not apply to 2025-12-04T09:07:53.2286624Z Python's random module or numpy randomness. 2025-12-04T09:07:53.2287085Z chunk_size (None or int): If None (default), apply a single vmap over inputs. 2025-12-04T09:07:53.2287646Z If not None, then compute the vmap :attr:`chunk_size` samples at a time. 2025-12-04T09:07:53.2288242Z Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop. 2025-12-04T09:07:53.2288881Z If you run into memory issues computing the vmap, please try a non-None chunk_size. 2025-12-04T09:07:53.2289336Z 2025-12-04T09:07:53.2289530Z Returns: 2025-12-04T09:07:53.2289842Z Returns a new "batched" function. It takes the same inputs as 2025-12-04T09:07:53.2290316Z ``func``, except each input has an extra dimension at the index 2025-12-04T09:07:53.2290809Z specified by ``in_dims``. It takes returns the same outputs as 2025-12-04T09:07:53.2291295Z ``func``, except each output has an extra dimension at the index 2025-12-04T09:07:53.2291702Z specified by ``out_dims``. 2025-12-04T09:07:53.2291972Z 2025-12-04T09:07:53.2292165Z .. warning: 2025-12-04T09:07:53.2292503Z :func:`vmap` works best with functional-style code. Please do not 2025-12-04T09:07:53.2292992Z perform any side-effects in ``func``, with the exception of 2025-12-04T09:07:53.2293531Z in-place PyTorch operations. Examples of side-effects include mutating 2025-12-04T09:07:53.2294107Z Python data structures and assigning values to variables not captured 2025-12-04T09:07:53.2294527Z in ``func``. 2025-12-04T09:07:53.2294761Z 2025-12-04T09:07:53.2295106Z One example of using :func:`vmap` is to compute batched dot products. PyTorch 2025-12-04T09:07:53.2295674Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully 2025-12-04T09:07:53.2296287Z rummaging through docs, use :func:`vmap` to construct a new function. 2025-12-04T09:07:53.2296716Z 2025-12-04T09:07:53.2296987Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:07:53.2297391Z >>> batched_dot = torch.func.vmap(torch.dot) # [N, D], [N, D] -> [N] 2025-12-04T09:07:53.2297838Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T09:07:53.2298173Z >>> batched_dot(x, y) 2025-12-04T09:07:53.2298421Z 2025-12-04T09:07:53.2298754Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler 2025-12-04T09:07:53.2299211Z model authoring experience. 2025-12-04T09:07:53.2299486Z 2025-12-04T09:07:53.2299697Z >>> batch_size, feature_size = 3, 5 2025-12-04T09:07:53.2300092Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T09:07:53.2300499Z >>> 2025-12-04T09:07:53.2300710Z >>> def model(feature_vec): 2025-12-04T09:07:53.2301047Z >>> # Very simple linear model with activation 2025-12-04T09:07:53.2301415Z >>> return feature_vec.dot(weights).relu() 2025-12-04T09:07:53.2301724Z >>> 2025-12-04T09:07:53.2302001Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T09:07:53.2302384Z >>> result = torch.vmap(model)(examples) 2025-12-04T09:07:53.2302684Z 2025-12-04T09:07:53.2303051Z :func:`vmap` can also help vectorize computations that were previously difficult 2025-12-04T09:07:53.2303743Z or impossible to batch. One example is higher-order gradient computation. 2025-12-04T09:07:53.2304327Z The PyTorch autograd engine computes vjps (vector-Jacobian products). 2025-12-04T09:07:53.2304891Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually 2025-12-04T09:07:53.2305486Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`, 2025-12-04T09:07:53.2306090Z we can vectorize the whole computation, computing the Jacobian in a single 2025-12-04T09:07:53.2306540Z call to ``autograd.grad``. 2025-12-04T09:07:53.2306814Z 2025-12-04T09:07:53.2307007Z >>> # Setup 2025-12-04T09:07:53.2307222Z >>> N = 5 2025-12-04T09:07:53.2307452Z >>> f = lambda x: x**2 2025-12-04T09:07:53.2307751Z >>> x = torch.randn(N, requires_grad=True) 2025-12-04T09:07:53.2308075Z >>> y = f(x) 2025-12-04T09:07:53.2308302Z >>> I_N = torch.eye(N) 2025-12-04T09:07:53.2308560Z >>> 2025-12-04T09:07:53.2308779Z >>> # Sequential approach 2025-12-04T09:07:53.2309176Z >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0] 2025-12-04T09:07:53.2309622Z >>> for v in I_N.unbind()] 2025-12-04T09:07:53.2309967Z >>> jacobian = torch.stack(jacobian_rows) 2025-12-04T09:07:53.2310270Z >>> 2025-12-04T09:07:53.2310506Z >>> # vectorized gradient computation 2025-12-04T09:07:53.2310825Z >>> def get_vjp(v): 2025-12-04T09:07:53.2311104Z >>> return torch.autograd.grad(y, x, v) 2025-12-04T09:07:53.2311449Z >>> jacobian = torch.vmap(get_vjp)(I_N) 2025-12-04T09:07:53.2311756Z 2025-12-04T09:07:53.2312115Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions 2025-12-04T09:07:53.2312575Z 2025-12-04T09:07:53.2312786Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:07:53.2313098Z >>> batched_dot = torch.vmap( 2025-12-04T09:07:53.2313393Z ... torch.vmap(torch.dot) 2025-12-04T09:07:53.2313708Z ... ) # [N1, N0, D], [N1, N0, D] -> [N1, N0] 2025-12-04T09:07:53.2314062Z >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5) 2025-12-04T09:07:53.2314421Z >>> batched_dot(x, y) # tensor of size [2, 3] 2025-12-04T09:07:53.2314735Z 2025-12-04T09:07:53.2315090Z If the inputs are not batched along the first dimension, ``in_dims`` specifies 2025-12-04T09:07:53.2315593Z the dimension that each inputs are batched along as 2025-12-04T09:07:53.2315942Z 2025-12-04T09:07:53.2316263Z >>> torch.dot # [N], [N] -> [] 2025-12-04T09:07:53.2316702Z >>> batched_dot = torch.vmap(torch.dot, in_dims=1) # [N, D], [N, D] -> [D] 2025-12-04T09:07:53.2317219Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T09:07:53.2317556Z >>> batched_dot( 2025-12-04T09:07:53.2317814Z ... x, y 2025-12-04T09:07:53.2318140Z ... ) # output is [5] instead of [2] if batched along the 0th dimension 2025-12-04T09:07:53.2318536Z 2025-12-04T09:07:53.2318910Z If there are multiple inputs each of which is batched along different dimensions, 2025-12-04T09:07:53.2319482Z ``in_dims`` must be a tuple with the batch dimension for each input as 2025-12-04T09:07:53.2319884Z 2025-12-04T09:07:53.2320103Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:07:53.2320536Z >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None)) # [N, D], [D] -> [N] 2025-12-04T09:07:53.2321016Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T09:07:53.2321344Z >>> batched_dot( 2025-12-04T09:07:53.2321592Z ... x, y 2025-12-04T09:07:53.2321913Z ... ) # second arg doesn't have a batch dim because in_dim[1] was None 2025-12-04T09:07:53.2322312Z 2025-12-04T09:07:53.2322658Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct 2025-12-04T09:07:53.2323131Z matching the shape of the input: 2025-12-04T09:07:53.2323420Z 2025-12-04T09:07:53.2323671Z >>> f = lambda dict: torch.dot(dict["x"], dict["y"]) 2025-12-04T09:07:53.2324034Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T09:07:53.2324362Z >>> input = {"x": x, "y": y} 2025-12-04T09:07:53.2324734Z >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},)) 2025-12-04T09:07:53.2325127Z >>> batched_dot(input) 2025-12-04T09:07:53.2325378Z 2025-12-04T09:07:53.2325759Z By default, the output is batched along the first dimension. However, it can be batched 2025-12-04T09:07:53.2326284Z along any dimension by using ``out_dims`` 2025-12-04T09:07:53.2326586Z 2025-12-04T09:07:53.2326795Z >>> f = lambda x: x**2 2025-12-04T09:07:53.2327080Z >>> x = torch.randn(2, 5) 2025-12-04T09:07:53.2327388Z >>> batched_pow = torch.vmap(f, out_dims=1) 2025-12-04T09:07:53.2327731Z >>> batched_pow(x) # [5, 2] 2025-12-04T09:07:53.2328016Z 2025-12-04T09:07:53.2328406Z For any function that uses kwargs, the returned function will not batch the kwargs but will 2025-12-04T09:07:53.2328907Z accept kwargs 2025-12-04T09:07:53.2329131Z 2025-12-04T09:07:53.2329327Z >>> x = torch.randn([2, 5]) 2025-12-04T09:07:53.2329621Z >>> def fn(x, scale=4.): 2025-12-04T09:07:53.2329901Z >>> return x * scale 2025-12-04T09:07:53.2330162Z >>> 2025-12-04T09:07:53.2330378Z >>> batched_pow = torch.vmap(fn) 2025-12-04T09:07:53.2330734Z >>> assert torch.allclose(batched_pow(x), x * 4) 2025-12-04T09:07:53.2331209Z >>> batched_pow(x, scale=x) # scale is not batched, output has shape [2, 2, 5] 2025-12-04T09:07:53.2331623Z 2025-12-04T09:07:53.2331828Z .. note:: 2025-12-04T09:07:53.2332177Z vmap does not provide general autobatching or handle variable-length 2025-12-04T09:07:53.2332605Z sequences out of the box. 2025-12-04T09:07:53.2332933Z 2025-12-04T09:07:53.2333567Z Original Error: IndentationError('expected an indented block after function definition on line 4', ('', 5, 1, '_._ = None\n', 5, 2)) 2025-12-04T09:07:53.2334280Z 2025-12-04T09:07:53.2334459Z _._ = None 2025-12-04T09:07:53.2334671Z ^ 2025-12-04T09:07:53.2334882Z warnings.warn(msg) 2025-12-04T09:07:53.2335117Z 2025-12-04T09:07:53.2335455Z --- Parse Warning: 8 / 17 --- 2025-12-04T09:07:53.2336603Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=grad in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=306. 2025-12-04T09:07:53.2337781Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:53.2338435Z ``grad`` operator helps computing gradients of ``func`` with respect to the 2025-12-04T09:07:53.2338991Z input(s) specified by ``argnums``. This operator can be nested to 2025-12-04T09:07:53.2339421Z compute higher-order gradients. 2025-12-04T09:07:53.2339707Z 2025-12-04T09:07:53.2339903Z Args: 2025-12-04T09:07:53.2340239Z func (Callable): A Python function that takes one or more arguments. 2025-12-04T09:07:53.2340816Z Must return a single-element Tensor. If specified ``has_aux`` equals ``True``, 2025-12-04T09:07:53.2341464Z function can return a tuple of single-element Tensor and other auxiliary objects: 2025-12-04T09:07:53.2341947Z ``(output, aux)``. 2025-12-04T09:07:53.2342408Z argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to. 2025-12-04T09:07:53.2343005Z ``argnums`` can be single integer or tuple of integers. Default: 0. 2025-12-04T09:07:53.2343631Z has_aux (bool): Flag indicating that ``func`` returns a tensor and other 2025-12-04T09:07:53.2344139Z auxiliary objects: ``(output, aux)``. Default: False. 2025-12-04T09:07:53.2344485Z 2025-12-04T09:07:53.2344681Z Returns: 2025-12-04T09:07:53.2345100Z Function to compute gradients with respect to its inputs. By default, the output of 2025-12-04T09:07:53.2345720Z the function is the gradient tensor(s) with respect to the first argument. 2025-12-04T09:07:53.2346342Z If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects 2025-12-04T09:07:53.2346976Z is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with 2025-12-04T09:07:53.2347493Z respect to each ``argnums`` value is returned. 2025-12-04T09:07:53.2347818Z 2025-12-04T09:07:53.2348034Z Example of using ``grad``: 2025-12-04T09:07:53.2348323Z 2025-12-04T09:07:53.2348522Z >>> # xdoctest: +SKIP 2025-12-04T09:07:53.2348826Z >>> from torch.func import grad 2025-12-04T09:07:53.2349151Z >>> x = torch.randn([]) 2025-12-04T09:07:53.2349462Z >>> cos_x = grad(lambda x: torch.sin(x))(x) 2025-12-04T09:07:53.2349827Z >>> assert torch.allclose(cos_x, x.cos()) 2025-12-04T09:07:53.2350147Z >>> 2025-12-04T09:07:53.2350386Z >>> # Second-order gradients 2025-12-04T09:07:53.2350736Z >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x) 2025-12-04T09:07:53.2351132Z >>> assert torch.allclose(neg_sin_x, -x.sin()) 2025-12-04T09:07:53.2351461Z 2025-12-04T09:07:53.2351808Z When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients: 2025-12-04T09:07:53.2352255Z 2025-12-04T09:07:53.2352472Z >>> # xdoctest: +SKIP 2025-12-04T09:07:53.2352776Z >>> from torch.func import grad, vmap 2025-12-04T09:07:53.2353131Z >>> batch_size, feature_size = 3, 5 2025-12-04T09:07:53.2353453Z >>> 2025-12-04T09:07:53.2353739Z >>> def model(weights, feature_vec): 2025-12-04T09:07:53.2354104Z >>> # Very simple linear model with activation 2025-12-04T09:07:53.2354471Z >>> assert feature_vec.dim() == 1 2025-12-04T09:07:53.2354828Z >>> return feature_vec.dot(weights).relu() 2025-12-04T09:07:53.2355143Z >>> 2025-12-04T09:07:53.2355417Z >>> def compute_loss(weights, example, target): 2025-12-04T09:07:53.2355788Z >>> y = model(weights, example) 2025-12-04T09:07:53.2356138Z >>> return ((y - target) ** 2).mean() # MSELoss 2025-12-04T09:07:53.2356475Z >>> 2025-12-04T09:07:53.2356788Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T09:07:53.2357292Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T09:07:53.2357686Z >>> targets = torch.randn(batch_size) 2025-12-04T09:07:53.2358097Z >>> inputs = (weights, examples, targets) 2025-12-04T09:07:53.2358562Z >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))( 2025-12-04T09:07:53.2358996Z ... *inputs 2025-12-04T09:07:53.2359248Z ... ) 2025-12-04T09:07:53.2359464Z 2025-12-04T09:07:53.2359739Z Example of using ``grad`` with ``has_aux`` and ``argnums``: 2025-12-04T09:07:53.2360129Z 2025-12-04T09:07:53.2360333Z >>> # xdoctest: +SKIP 2025-12-04T09:07:53.2360624Z >>> from torch.func import grad 2025-12-04T09:07:53.2360955Z >>> def my_loss_func(y, y_pred): 2025-12-04T09:07:53.2361303Z >>> loss_per_sample = (0.5 * y_pred - y) ** 2 2025-12-04T09:07:53.2361652Z >>> loss = loss_per_sample.mean() 2025-12-04T09:07:53.2362010Z >>> return loss, (y_pred, loss_per_sample) 2025-12-04T09:07:53.2362331Z >>> 2025-12-04T09:07:53.2362614Z >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True) 2025-12-04T09:07:53.2362970Z >>> y_true = torch.rand(4) 2025-12-04T09:07:53.2363312Z >>> y_preds = torch.rand(4, requires_grad=True) 2025-12-04T09:07:53.2363668Z >>> out = fn(y_true, y_preds) 2025-12-04T09:07:53.2364112Z >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample)) 2025-12-04T09:07:53.2364559Z 2025-12-04T09:07:53.2364768Z .. note:: 2025-12-04T09:07:53.2365064Z Using PyTorch ``torch.no_grad`` together with ``grad``. 2025-12-04T09:07:53.2365427Z 2025-12-04T09:07:53.2365684Z Case 1: Using ``torch.no_grad`` inside a function: 2025-12-04T09:07:53.2366016Z 2025-12-04T09:07:53.2366232Z >>> # xdoctest: +SKIP 2025-12-04T09:07:53.2366531Z >>> def f(x): 2025-12-04T09:07:53.2366814Z >>> with torch.no_grad(): 2025-12-04T09:07:53.2367112Z >>> c = x ** 2 2025-12-04T09:07:53.2367407Z >>> return x - c 2025-12-04T09:07:53.2367683Z 2025-12-04T09:07:53.2367977Z In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``. 2025-12-04T09:07:53.2368374Z 2025-12-04T09:07:53.2368669Z Case 2: Using ``grad`` inside ``torch.no_grad`` context manager: 2025-12-04T09:07:53.2369040Z 2025-12-04T09:07:53.2369251Z >>> # xdoctest: +SKIP 2025-12-04T09:07:53.2369559Z >>> with torch.no_grad(): 2025-12-04T09:07:53.2370050Z >>> grad(f)(x) 2025-12-04T09:07:53.2370325Z 2025-12-04T09:07:53.2370655Z In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the 2025-12-04T09:07:53.2371216Z outer one. This is because ``grad`` is a "function transform": its result 2025-12-04T09:07:53.2371772Z should not depend on the result of a context manager outside of ``f``. 2025-12-04T09:07:53.2372193Z 2025-12-04T09:07:53.2372389Z 2025-12-04T09:07:53.2373011Z Original Error: IndentationError('expected an indented block after function definition on line 5', ('', 6, 1, '_._ = None\n', 6, 2)) 2025-12-04T09:07:53.2373758Z 2025-12-04T09:07:53.2373952Z _._ = None 2025-12-04T09:07:53.2374151Z ^ 2025-12-04T09:07:53.2374362Z warnings.warn(msg) 2025-12-04T09:07:53.2374611Z 2025-12-04T09:07:53.2374921Z --- Parse Warning: 9 / 17 --- 2025-12-04T09:07:53.2376118Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=CustomOpDef.register_fake in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py line=402. 2025-12-04T09:07:53.2377458Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:53.2378146Z Register a FakeTensor implementation for this custom op. 2025-12-04T09:07:53.2378508Z 2025-12-04T09:07:53.2378940Z This is necessary to get the operator to work efficiently with torch.compile. 2025-12-04T09:07:53.2379389Z 2025-12-04T09:07:53.2379705Z The Fake impl (sometimes also known as a meta kernel or abstract impl) 2025-12-04T09:07:53.2380278Z specifies the behavior of this operator on Tensors that carry no data. 2025-12-04T09:07:53.2380775Z Given some input Tensors with certain properties 2025-12-04T09:07:53.2381291Z (sizes/strides/storage_offset/device), it specifies what the properties of 2025-12-04T09:07:53.2381758Z the output Tensors are. 2025-12-04T09:07:53.2382042Z 2025-12-04T09:07:53.2382356Z Please see :func:`torch.library.register_fake` for more details. 2025-12-04T09:07:53.2382751Z 2025-12-04T09:07:53.2382948Z Args: 2025-12-04T09:07:53.2383271Z fn (Callable): The function to register as the FakeTensor 2025-12-04T09:07:53.2383727Z implementation. 2025-12-04T09:07:53.2384021Z 2025-12-04T09:07:53.2384221Z Examples: 2025-12-04T09:07:53.2384472Z >>> import torch 2025-12-04T09:07:53.2384753Z >>> import numpy as np 2025-12-04T09:07:53.2385072Z >>> from torch import Tensor 2025-12-04T09:07:53.2385376Z >>> 2025-12-04T09:07:53.2385692Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T09:07:53.2386190Z >>> @torch.library.custom_op("mylib::linear", mutates_args=()) 2025-12-04T09:07:53.2386688Z >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T09:07:53.2387118Z >>> return (x @ weight.t()) + bias 2025-12-04T09:07:53.2387436Z >>> 2025-12-04T09:07:53.2387688Z >>> @linear.register_fake 2025-12-04T09:07:53.2388016Z >>> def _(x, weight, bias): 2025-12-04T09:07:53.2388324Z >>> assert x.dim() == 2 2025-12-04T09:07:53.2388656Z >>> assert weight.dim() == 2 2025-12-04T09:07:53.2388997Z >>> assert bias.dim() == 1 2025-12-04T09:07:53.2389337Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T09:07:53.2389716Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T09:07:53.2390096Z >>> assert x.device == weight.device 2025-12-04T09:07:53.2390471Z >>> return x.new_empty(x.size(0), weight.size(0)) 2025-12-04T09:07:53.2390854Z >>> 2025-12-04T09:07:53.2391104Z >>> x = torch.randn(2, 2) 2025-12-04T09:07:53.2391434Z >>> weight = torch.randn(2, 2) 2025-12-04T09:07:53.2391752Z >>> bias = torch.randn(2) 2025-12-04T09:07:53.2392104Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:07:53.2392549Z >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias) 2025-12-04T09:07:53.2392980Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:07:53.2393481Z >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias)) 2025-12-04T09:07:53.2393936Z >>> 2025-12-04T09:07:53.2394243Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T09:07:53.2394734Z >>> @torch.library.custom_op("mylib::nonzero", mutates_args=()) 2025-12-04T09:07:53.2395168Z >>> def nonzero(x: Tensor) -> Tensor: 2025-12-04T09:07:53.2395511Z >>> x_np = x.cpu().numpy() 2025-12-04T09:07:53.2395849Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T09:07:53.2396232Z >>> return torch.tensor(res, device=x.device) 2025-12-04T09:07:53.2396567Z >>> 2025-12-04T09:07:53.2396897Z >>> @nonzero.register_fake 2025-12-04T09:07:53.2397211Z >>> def _(x): 2025-12-04T09:07:53.2397535Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T09:07:53.2398010Z >>> # Since we cannot peek at the data in an abstract impl, 2025-12-04T09:07:53.2398455Z >>> # we use the ctx object to construct a new symint that 2025-12-04T09:07:53.2398860Z >>> # represents the data-dependent size. 2025-12-04T09:07:53.2399229Z >>> ctx = torch.library.get_ctx() 2025-12-04T09:07:53.2399574Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T09:07:53.2399916Z >>> shape = [nnz, x.dim()] 2025-12-04T09:07:53.2400287Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T09:07:53.2400650Z >>> return result 2025-12-04T09:07:53.2400934Z >>> 2025-12-04T09:07:53.2401192Z >>> x = torch.tensor([0, 1, 2, 0, 0, 1]) 2025-12-04T09:07:53.2401561Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:07:53.2401948Z >>> out = torch.compile(nonzero, fullgraph=True)(x) 2025-12-04T09:07:53.2402384Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:07:53.2402767Z >>> assert torch.allclose(out, x.nonzero()) 2025-12-04T09:07:53.2403081Z 2025-12-04T09:07:53.2403277Z 2025-12-04T09:07:53.2403931Z Original Error: IndentationError('expected an indented block after function definition on line 36', ('', 37, 1, '_._ = None\n', 37, 2)) 2025-12-04T09:07:53.2404641Z 2025-12-04T09:07:53.2404899Z _._ = None 2025-12-04T09:07:53.2405114Z ^ 2025-12-04T09:07:53.2405312Z warnings.warn(msg) 2025-12-04T09:07:53.2405563Z 2025-12-04T09:07:53.2405884Z --- Parse Warning: 10 / 17 --- 2025-12-04T09:07:53.2407102Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=unsafe_generate_fake_kernels in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_profile.py line=94. 2025-12-04T09:07:53.2408438Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-12-04T09:07:53.2408900Z 2025-12-04T09:07:53.2409241Z Registers a fake kernel based on the given operator profiles. This fake 2025-12-04T09:07:53.2409821Z kernel registration will override any existing fake kernel registrations. 2025-12-04T09:07:53.2410267Z 2025-12-04T09:07:53.2410593Z The input is a dictionary mapping operator names to a set of operator 2025-12-04T09:07:53.2411155Z profiles, which we will use to generate fake kernels. The operator profiles 2025-12-04T09:07:53.2411691Z are a record of the input and output tensor metadata. Based on this 2025-12-04T09:07:53.2412245Z information we will match a given input to the recorded profile, and return 2025-12-04T09:07:53.2412832Z an output with the same metadata as in the recorded profile. If a profile 2025-12-04T09:07:53.2413302Z doesn't exist then an exception will be thrown. 2025-12-04T09:07:53.2413638Z 2025-12-04T09:07:53.2413978Z The fake kernel generation is considered unsafe because it relies on the 2025-12-04T09:07:53.2414553Z rigid, pre-defined operator profiles that do not account for potential 2025-12-04T09:07:53.2415136Z variations in output behavior. Specifically, the generated kernels assume a 2025-12-04T09:07:53.2415758Z fixed relationship between input and output ranks. However, in reality, it's 2025-12-04T09:07:53.2416368Z possible that data-dependent operations may produce outputs of different 2025-12-04T09:07:53.2416932Z ranks even when given inputs of the same rank. The generated fake kernels 2025-12-04T09:07:53.2417484Z are inflexible and unable to accommodate these nuances, making them 2025-12-04T09:07:53.2417912Z potentially unsafe. 2025-12-04T09:07:53.2418154Z 2025-12-04T09:07:53.2419384Z Args: 2025-12-04T09:07:53.2419739Z op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator 2025-12-04T09:07:53.2420333Z name to a set of operator profiles from which we will generate fake 2025-12-04T09:07:53.2420725Z kernels. 2025-12-04T09:07:53.2420953Z 2025-12-04T09:07:53.2421150Z Examples: 2025-12-04T09:07:53.2421350Z 2025-12-04T09:07:53.2421634Z >>> # Example: Registering an op-profile from draft-export 2025-12-04T09:07:53.2422013Z >>> import torch 2025-12-04T09:07:53.2422332Z >>> from torch.export._draft_export import draft_export 2025-12-04T09:07:53.2422697Z >>> 2025-12-04T09:07:53.2423004Z >>> @torch.library.custom_op("mylib::foo", mutates_args=()) 2025-12-04T09:07:53.2423410Z >>> def foo(x: Tensor, y: Tensor) -> Tensor: 2025-12-04T09:07:53.2423826Z >>> return x + y 2025-12-04T09:07:53.2424087Z >>> 2025-12-04T09:07:53.2424320Z >>> class M(torch.nn.Module): 2025-12-04T09:07:53.2424629Z >>> def forward(self, a, b): 2025-12-04T09:07:53.2424987Z >>> res = torch.ops.mylib.foo(a, b) # no fake impl 2025-12-04T09:07:53.2425366Z >>> return res 2025-12-04T09:07:53.2425620Z >>> 2025-12-04T09:07:53.2425912Z >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4)) 2025-12-04T09:07:53.2426287Z >>> 2025-12-04T09:07:53.2426689Z >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles): 2025-12-04T09:07:53.2427230Z >>> decomp = ep.run_decompositions() 2025-12-04T09:07:53.2427550Z 2025-12-04T09:07:53.2427731Z 2025-12-04T09:07:53.2428320Z Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced') 2025-12-04T09:07:53.2428997Z 2025-12-04T09:07:53.2429210Z warnings.warn(msg) 2025-12-04T09:07:53.2429451Z 2025-12-04T09:07:53.2429775Z --- Parse Warning: 11 / 17 --- 2025-12-04T09:07:53.2431197Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=ActivationSparsifier in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py line=16. 2025-12-04T09:07:53.2432740Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:53.2433189Z 2025-12-04T09:07:53.2433566Z The Activation sparsifier class aims to sparsify/prune activations in a neural 2025-12-04T09:07:53.2434177Z network. The idea is to attach the sparsifier to a layer (or layers) and it 2025-12-04T09:07:53.2434753Z zeroes out the activations based on the mask_fn (or sparsification function) 2025-12-04T09:07:53.2435217Z input by the user. 2025-12-04T09:07:53.2435599Z The mask_fn is applied once all the inputs are aggregated and reduced i.e. 2025-12-04T09:07:53.2436086Z mask = mask_fn(reduce_fn(aggregate_fn(activations))) 2025-12-04T09:07:53.2436431Z 2025-12-04T09:07:53.2436633Z Note:: 2025-12-04T09:07:53.2437059Z The sparsification mask is computed on the input **before it goes through the attached layer**. 2025-12-04T09:07:53.2437577Z 2025-12-04T09:07:53.2437769Z Args: 2025-12-04T09:07:53.2437985Z model (nn.Module): 2025-12-04T09:07:53.2438363Z The model whose layers will be sparsified. The layers that needs to be 2025-12-04T09:07:53.2438946Z sparsified should be added separately using the register_layer() function 2025-12-04T09:07:53.2439422Z aggregate_fn (Optional, Callable): 2025-12-04T09:07:53.2439887Z default aggregate_fn that is used if not specified while registering the layer. 2025-12-04T09:07:53.2440427Z specifies how inputs should be aggregated over time. 2025-12-04T09:07:53.2440989Z The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor. 2025-12-04T09:07:53.2441561Z Example 2025-12-04T09:07:53.2441869Z def add_agg_fn(tensor1, tensor2): return tensor1 + tensor2 2025-12-04T09:07:53.2442341Z reduce_fn (Optional, Callable): 2025-12-04T09:07:53.2442812Z default reduce_fn that is used if not specified while registering the layer. 2025-12-04T09:07:53.2443417Z reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after 2025-12-04T09:07:53.2443915Z calling agg_fn() on all inputs. 2025-12-04T09:07:53.2444238Z Example 2025-12-04T09:07:53.2444601Z def mean_reduce_fn(agg_tensor): return agg_tensor.mean(dim=0) 2025-12-04T09:07:53.2445020Z mask_fn (Optional, Callable): 2025-12-04T09:07:53.2445547Z default mask_fn that is used to create the sparsification mask using the tensor obtained after 2025-12-04T09:07:53.2446225Z calling the reduce_fn(). This is used by default if a custom one is passed in the 2025-12-04T09:07:53.2446689Z register_layer(). 2025-12-04T09:07:53.2447239Z Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config 2025-12-04T09:07:53.2447799Z arguments. 2025-12-04T09:07:53.2448088Z features (Optional, list): 2025-12-04T09:07:53.2448422Z default selected features to sparsify. 2025-12-04T09:07:53.2448933Z If this is non-empty, then the mask_fn will be applied for each feature of the input. 2025-12-04T09:07:53.2449416Z For example, 2025-12-04T09:07:53.2449843Z mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features] 2025-12-04T09:07:53.2450329Z feature_dim (Optional, int): 2025-12-04T09:07:53.2450825Z default dimension of input features. Again, features along this dim will be chosen 2025-12-04T09:07:53.2451329Z for sparsification. 2025-12-04T09:07:53.2451638Z sparse_config (Dict): 2025-12-04T09:07:53.2452066Z Default configuration for the mask_fn. This config will be passed 2025-12-04T09:07:53.2452506Z with the mask_fn() 2025-12-04T09:07:53.2452779Z 2025-12-04T09:07:53.2452975Z Example: 2025-12-04T09:07:53.2453199Z >>> # xdoctest: +SKIP 2025-12-04T09:07:53.2453466Z >>> model = SomeModel() 2025-12-04T09:07:53.2453892Z >>> act_sparsifier = ActivationSparsifier(...) # init activation sparsifier 2025-12-04T09:07:53.2454368Z >>> # Initialize aggregate_fn 2025-12-04T09:07:53.2454659Z >>> def agg_fn(x, y): 2025-12-04T09:07:53.2454929Z >>> return x + y 2025-12-04T09:07:53.2455185Z >>> 2025-12-04T09:07:53.2455398Z >>> # Initialize reduce_fn 2025-12-04T09:07:53.2455694Z >>> def reduce_fn(x): 2025-12-04T09:07:53.2455986Z >>> return torch.mean(x, dim=0) 2025-12-04T09:07:53.2456287Z >>> 2025-12-04T09:07:53.2456524Z >>> # Initialize mask_fn 2025-12-04T09:07:53.2456805Z >>> def mask_fn(data): 2025-12-04T09:07:53.2457128Z >>> return torch.eye(data.shape).to(data.device) 2025-12-04T09:07:53.2457455Z >>> 2025-12-04T09:07:53.2457654Z >>> 2025-12-04T09:07:53.2457889Z >>> act_sparsifier.register_layer( 2025-12-04T09:07:53.2458200Z ... model.some_layer, 2025-12-04T09:07:53.2458490Z ... aggregate_fn=agg_fn, 2025-12-04T09:07:53.2458790Z ... reduce_fn=reduce_fn, 2025-12-04T09:07:53.2459072Z ... mask_fn=mask_fn, 2025-12-04T09:07:53.2459340Z ... ) 2025-12-04T09:07:53.2459551Z >>> 2025-12-04T09:07:53.2459762Z >>> # start training process 2025-12-04T09:07:53.2460059Z >>> for _ in [...]: 2025-12-04T09:07:53.2460323Z >>> # epoch starts 2025-12-04T09:07:53.2460729Z >>> # model.forward(), compute_loss() and model.backwards() 2025-12-04T09:07:53.2461106Z >>> # epoch ends 2025-12-04T09:07:53.2461378Z >>> act_sparsifier.step() 2025-12-04T09:07:53.2461755Z >>> # end training process 2025-12-04T09:07:53.2462046Z >>> sparsifier.squash_mask() 2025-12-04T09:07:53.2462333Z 2025-12-04T09:07:53.2462942Z Original Error: IndentationError("expected an indented block after 'for' statement on line 25", ('', 26, 1, '_._ = None\n', 26, 2)) 2025-12-04T09:07:53.2463741Z 2025-12-04T09:07:53.2463943Z _._ = None 2025-12-04T09:07:53.2464170Z ^ 2025-12-04T09:07:53.2464370Z warnings.warn(msg) 2025-12-04T09:07:53.2464622Z 2025-12-04T09:07:53.2464940Z --- Parse Warning: 12 / 17 --- 2025-12-04T09:07:53.2466130Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py line=547. 2025-12-04T09:07:53.2467451Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:53.2467896Z 2025-12-04T09:07:53.2468285Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh. 2025-12-04T09:07:53.2468931Z The submesh created consists of the dimensions and the communicators indicated by 2025-12-04T09:07:53.2469417Z ``mesh_dim_names`` 2025-12-04T09:07:53.2469851Z 2025-12-04T09:07:53.2470043Z Args: 2025-12-04T09:07:53.2470404Z mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the 2025-12-04T09:07:53.2470952Z mesh dimension of the DeviceMesh to create the submesh for. 2025-12-04T09:07:53.2471344Z Returns: 2025-12-04T09:07:53.2471565Z A :class:`DeviceMesh` object 2025-12-04T09:07:53.2471855Z 2025-12-04T09:07:53.2472253Z The following program runs on each process/rank in an SPMD manner in a world size of 8. 2025-12-04T09:07:53.2472748Z In the first example: 2025-12-04T09:07:53.2473169Z Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]). 2025-12-04T09:07:53.2473785Z Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of DeviceMesh:([4, 5, 6, 7]). 2025-12-04T09:07:53.2474370Z Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of DeviceMesh:([0, 4]). 2025-12-04T09:07:53.2474923Z Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of DeviceMesh:([1, 5]). 2025-12-04T09:07:53.2475482Z Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of DeviceMesh:([2, 6]). 2025-12-04T09:07:53.2476039Z Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of DeviceMesh:([3, 7]). 2025-12-04T09:07:53.2476448Z 2025-12-04T09:07:53.2476653Z In the second example: 2025-12-04T09:07:53.2477089Z Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]). 2025-12-04T09:07:53.2477735Z Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]). 2025-12-04T09:07:53.2478364Z Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]). 2025-12-04T09:07:53.2479008Z Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]). 2025-12-04T09:07:53.2479469Z 2025-12-04T09:07:53.2479661Z Example:: 2025-12-04T09:07:53.2479872Z 2025-12-04T09:07:53.2480087Z >>> # xdoctest: +SKIP("no rank") 2025-12-04T09:07:53.2480465Z >>> from torch.distributed.device_mesh import DeviceMesh 2025-12-04T09:07:53.2480832Z >>> 2025-12-04T09:07:53.2481152Z >>> # Initialize a 2D device mesh as (2, 4) to represent the topology 2025-12-04T09:07:53.2481613Z >>> # of cross-host(dim 0), and within-host (dim 1). 2025-12-04T09:07:53.2482107Z >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T09:07:53.2482712Z >>> tp_mesh = mesh_2d["tp"] 2025-12-04T09:07:53.2483018Z >>> dp_mesh = mesh_2d["dp"] 2025-12-04T09:07:53.2483283Z >>> 2025-12-04T09:07:53.2483589Z >>> # Initialize a 3D mesh. 2025-12-04T09:07:53.2484067Z >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp")) 2025-12-04T09:07:53.2484751Z >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh. 2025-12-04T09:07:53.2485293Z >>> dp_cp_mesh = mesh_3d["dp", "cp"] 2025-12-04T09:07:53.2485634Z >>> cp_dp_mesh = mesh_3d["cp", "dp"] 2025-12-04T09:07:53.2485940Z 2025-12-04T09:07:53.2486719Z Original Error: SyntaxError('positional argument follows keyword argument', ('', 6, 82, 'mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))\n', 6, 83)) 2025-12-04T09:07:53.2487586Z 2025-12-04T09:07:53.2487944Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T09:07:53.2488419Z ^ 2025-12-04T09:07:53.2488764Z warnings.warn(msg) 2025-12-04T09:07:53.2489013Z 2025-12-04T09:07:53.2489334Z --- Parse Warning: 13 / 17 --- 2025-12-04T09:07:53.2490519Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=SavePlanner in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/planner.py line=122. 2025-12-04T09:07:53.2491840Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:53.2492287Z 2025-12-04T09:07:53.2492670Z Abstract class defining the protocol used by save_state_dict to plan the save process. 2025-12-04T09:07:53.2493159Z 2025-12-04T09:07:53.2493563Z SavePlanners are stateful objects that can be used to customize the whole save process. 2025-12-04T09:07:53.2494056Z 2025-12-04T09:07:53.2494434Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T09:07:53.2494944Z will be visible to the whole process. 2025-12-04T09:07:53.2495251Z 2025-12-04T09:07:53.2495626Z A planner subclass can expect the following sequence of calls during save_state_dict: 2025-12-04T09:07:53.2496105Z 2025-12-04T09:07:53.2496334Z 1) set_up_planner - called on all ranks. 2025-12-04T09:07:53.2496675Z Signals the start of a checkpoint save. 2025-12-04T09:07:53.2496988Z 2025-12-04T09:07:53.2497218Z 2) create_local_plan - called on all ranks. 2025-12-04T09:07:53.2497726Z Process the state_dict and produces a `SavePlan` that will be sent for global planning. 2025-12-04T09:07:53.2498205Z 2025-12-04T09:07:53.2498493Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T09:07:53.2498983Z Takes the SavePlan from all ranks and make any global decision. 2025-12-04T09:07:53.2499364Z 2025-12-04T09:07:53.2499589Z 4) finish_plan - called on all ranks. 2025-12-04T09:07:53.2500022Z This gives each rank a chance to adjust to global planning decisions. 2025-12-04T09:07:53.2500429Z 2025-12-04T09:07:53.2500693Z 5) resolve_data - called multiple times on each rank 2025-12-04T09:07:53.2501160Z Lookups a value on the `state_dict` for the storage layer to write. 2025-12-04T09:07:53.2501550Z 2025-12-04T09:07:53.2501970Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as 2025-12-04T09:07:53.2502579Z most changes can be expressed by changes in a single method. 2025-12-04T09:07:53.2502959Z 2025-12-04T09:07:53.2503178Z There are 3 usual patterns of extension: 2025-12-04T09:07:53.2503563Z 2025-12-04T09:07:53.2503931Z Rewriting state_dict. This is the simplest way to extend the save process as it 2025-12-04T09:07:53.2504520Z doesn't requite understanding the intrincacies of how SavePlan works: 2025-12-04T09:07:53.2505021Z 2025-12-04T09:07:53.2505248Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:07:53.2505597Z >>> class RenamePlanner(DefaultSavePlanner): 2025-12-04T09:07:53.2506005Z >>> def set_up_planner( 2025-12-04T09:07:53.2506279Z >>> self, 2025-12-04T09:07:53.2506531Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T09:07:53.2506878Z >>> storage_meta: Optional[StorageMeta], 2025-12-04T09:07:53.2507228Z >>> is_coordinator: bool, 2025-12-04T09:07:53.2507527Z >>> ) -> None: 2025-12-04T09:07:53.2507782Z >>> # prefix all keys with `foo_`` 2025-12-04T09:07:53.2508286Z >>> super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator) 2025-12-04T09:07:53.2508779Z 2025-12-04T09:07:53.2509213Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted 2025-12-04T09:07:53.2509746Z 2025-12-04T09:07:53.2509981Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:07:53.2520190Z >>> class FP16Planner(DefaultSavePlanner): 2025-12-04T09:07:53.2520565Z >>> def create_local_plan(self): 2025-12-04T09:07:53.2520924Z >>> plan = super().create_local_plan() 2025-12-04T09:07:53.2521250Z >>> for p in plan: 2025-12-04T09:07:53.2521554Z >>> if p.tensor_data is not None: 2025-12-04T09:07:53.2521947Z >>> p.tensor_data.properties.dtype = torch.float16 2025-12-04T09:07:53.2522318Z >>> return plan 2025-12-04T09:07:53.2522563Z >>> 2025-12-04T09:07:53.2522803Z >>> def resolve_data(self, write_item): 2025-12-04T09:07:53.2523159Z >>> item = super().resolve_data(write_item) 2025-12-04T09:07:53.2523654Z >>> return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16) 2025-12-04T09:07:53.2524129Z 2025-12-04T09:07:53.2524585Z Using the global planning step to make central decisions that can't be made individually by each rank 2025-12-04T09:07:53.2525118Z 2025-12-04T09:07:53.2525347Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:07:53.2525689Z >>> from itertools import zip_longest 2025-12-04T09:07:53.2526021Z >>> from dataclasses import replace 2025-12-04T09:07:53.2526397Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner): 2025-12-04T09:07:53.2526948Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0 2025-12-04T09:07:53.2527455Z >>> # This sample doesn't handle ShardedTensors 2025-12-04T09:07:53.2527832Z >>> def create_global_plan(self, all_plans): 2025-12-04T09:07:53.2528226Z >>> iters = [iter(all_plans[0].items)] * len(all_plans) 2025-12-04T09:07:53.2528581Z >>> items_per_rank = [ 2025-12-04T09:07:53.2528913Z >>> [item for item in items if item is not None] 2025-12-04T09:07:53.2529326Z >>> for items in zip(*zip_longest(*iters), strict=True) 2025-12-04T09:07:53.2529675Z >>> ] 2025-12-04T09:07:53.2529911Z >>> all_plans = [ 2025-12-04T09:07:53.2530198Z >>> replace(plan, items=items) 2025-12-04T09:07:53.2530604Z >>> for plan, items in zip(all_plans, items_per_rank, strict=True) 2025-12-04T09:07:53.2530998Z >>> ] 2025-12-04T09:07:53.2531277Z >>> return super().create_global_plan(all_plans) 2025-12-04T09:07:53.2531613Z 2025-12-04T09:07:53.2531976Z Finally, some planners need to save additional metadata in the checkpoint, this is 2025-12-04T09:07:53.2532631Z accomplished by having each rank contribute their data items in the local plan and 2025-12-04T09:07:53.2533136Z the global planner aggregate them: 2025-12-04T09:07:53.2533420Z 2025-12-04T09:07:53.2533647Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:07:53.2534026Z >>> class SaveExtraDataPlanner(DefaultSavePlanner): 2025-12-04T09:07:53.2534415Z >>> def create_local_plan(self) -> SavePlan: 2025-12-04T09:07:53.2534899Z >>> plan = super().create_local_plan() 2025-12-04T09:07:53.2535303Z >>> return replace(plan, planner_data="per-rank-data") 2025-12-04T09:07:53.2535725Z >>> 2025-12-04T09:07:53.2536126Z >>> def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]: 2025-12-04T09:07:53.2536745Z >>> global_plan, metadata = super().create_global_plan(all_plans) 2025-12-04T09:07:53.2537219Z >>> merged_data = [p.planner_data for p in global_plan] 2025-12-04T09:07:53.2537647Z >>> metadata = replace(metadata, planner_data=merged_data) 2025-12-04T09:07:53.2538044Z >>> return global_plan, metadata 2025-12-04T09:07:53.2538352Z 2025-12-04T09:07:53.2538990Z Original Error: IndentationError('expected an indented block after function definition on line 3', ('', 9, 0, '_._ = None\n', 9, -1)) 2025-12-04T09:07:53.2539698Z 2025-12-04T09:07:53.2539887Z _._ = None 2025-12-04T09:07:53.2540102Z ^ 2025-12-04T09:07:53.2540297Z warnings.warn(msg) 2025-12-04T09:07:53.2540550Z 2025-12-04T09:07:53.2540898Z --- Parse Warning: 14 / 17 --- 2025-12-04T09:07:53.2542093Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=LoadPlanner in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/planner.py line=305. 2025-12-04T09:07:53.2543414Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:53.2543960Z 2025-12-04T09:07:53.2544354Z Abstract class defining the protocol used by load_state_dict to plan the load process. 2025-12-04T09:07:53.2544828Z 2025-12-04T09:07:53.2545226Z LoadPlanner are stateful objects that can be used to customize the whole load process. 2025-12-04T09:07:53.2545713Z 2025-12-04T09:07:53.2546090Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T09:07:53.2546607Z will be visible to the whole process. 2025-12-04T09:07:53.2546906Z 2025-12-04T09:07:53.2547278Z A planner subclass can expect the following sequence of calls during load_state_dict: 2025-12-04T09:07:53.2547761Z 2025-12-04T09:07:53.2547992Z 1) set_up_planner - called on all ranks. 2025-12-04T09:07:53.2548338Z Signals the start of loading a checkpoint. 2025-12-04T09:07:53.2548664Z 2025-12-04T09:07:53.2548907Z 2) create_local_plan - called on all ranks. 2025-12-04T09:07:53.2549428Z Process the state_dict and produces a `LoadPlan` that will be sent for global planning. 2025-12-04T09:07:53.2549896Z 2025-12-04T09:07:53.2550187Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T09:07:53.2550675Z Takes the LoadPlan from all ranks and make any global decision. 2025-12-04T09:07:53.2551057Z 2025-12-04T09:07:53.2551315Z 4) load_bytes - called multiple times on each rank 2025-12-04T09:07:53.2551740Z This is called once per non-tensor value in state_dict. 2025-12-04T09:07:53.2551819Z 2025-12-04T09:07:53.2552036Z 5) resolve_tensor and commit_tensor - called multiple times on each rank 2025-12-04T09:07:53.2552229Z They are called in pair for each Tensor value in state_dict. 2025-12-04T09:07:53.2552308Z 2025-12-04T09:07:53.2552621Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as 2025-12-04T09:07:53.2552799Z most changes can be expressed by changes in a single method. 2025-12-04T09:07:53.2552878Z 2025-12-04T09:07:53.2553014Z There are two usual patterns of extension: 2025-12-04T09:07:53.2553093Z 2025-12-04T09:07:53.2553344Z Rewriting state_dict. This is the simplest way to extend the load process as it 2025-12-04T09:07:53.2553608Z doesn't requite understanding the intrincacies of how LoadPlan works. We need 2025-12-04T09:07:53.2553833Z to keep a reference to the original state_dict as load happens in place so 2025-12-04T09:07:53.2554050Z we need to be able to perform it in place 2025-12-04T09:07:53.2554132Z 2025-12-04T09:07:53.2554245Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:07:53.2554461Z >>> class RenamePlanner(DefaultLoadPlanner): 2025-12-04T09:07:53.2554558Z >>> def set_up_planner( 2025-12-04T09:07:53.2554642Z >>> self, 2025-12-04T09:07:53.2554764Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T09:07:53.2554863Z >>> metadata: Metadata, 2025-12-04T09:07:53.2554964Z >>> is_coordinator: bool, 2025-12-04T09:07:53.2555067Z >>> ) -> None: 2025-12-04T09:07:53.2555191Z >>> self.original_state_dict = state_dict 2025-12-04T09:07:53.2555361Z >>> state_dict = {"foo_" + k: v for k, v in state_dict.items()} 2025-12-04T09:07:53.2555454Z >>> 2025-12-04T09:07:53.2555570Z >>> if self.flatten_sharded_tensors: 2025-12-04T09:07:53.2555735Z >>> state_dict = _flatten_sharded_tensors(state_dict) 2025-12-04T09:07:53.2555814Z >>> 2025-12-04T09:07:53.2555921Z >>> if self.flatten_state_dict: 2025-12-04T09:07:53.2556113Z >>> state_dict, self.mappings = flatten_state_dict(state_dict) 2025-12-04T09:07:53.2556196Z >>> 2025-12-04T09:07:53.2556304Z >>> self.state_dict = state_dict 2025-12-04T09:07:53.2556419Z >>> self.metadata = metadata 2025-12-04T09:07:53.2556541Z >>> self.is_coordinator = is_coordinator 2025-12-04T09:07:53.2556618Z >>> 2025-12-04T09:07:53.2556748Z >>> def load_bytes(self, read_item, value): 2025-12-04T09:07:53.2556850Z >>> # Remove the "foo_" prefix 2025-12-04T09:07:53.2557175Z >>> self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False) 2025-12-04T09:07:53.2557254Z 2025-12-04T09:07:53.2557331Z 2025-12-04T09:07:53.2557598Z Modifying resolve_tensor and commit_tensor to handle load time transformation. 2025-12-04T09:07:53.2557675Z 2025-12-04T09:07:53.2557789Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:07:53.2557953Z >>> class MetaModelMaterialize(DefaultSavePlanner): 2025-12-04T09:07:53.2558072Z >>> def resolve_tensor(self, read_item): 2025-12-04T09:07:53.2558200Z >>> tensor = super().resolve_tensor(read_item) 2025-12-04T09:07:53.2558353Z >>> return torch.empty_like(tensor, device="cpu") 2025-12-04T09:07:53.2558431Z >>> 2025-12-04T09:07:53.2558570Z >>> def commit_tensor(self, read_item, tensor): 2025-12-04T09:07:53.2558721Z >>> self.state_dict[read_item.dest_index.fqn] = tensor 2025-12-04T09:07:53.2558799Z 2025-12-04T09:07:53.2559338Z Original Error: IndentationError('expected an indented block after function definition on line 22', ('', 23, 0, '_._ = None\n', 23, -1)) 2025-12-04T09:07:53.2559419Z 2025-12-04T09:07:53.2559499Z _._ = None 2025-12-04T09:07:53.2559590Z ^ 2025-12-04T09:07:53.2559685Z warnings.warn(msg) 2025-12-04T09:07:53.2559765Z 2025-12-04T09:07:53.2559980Z --- Parse Warning: 15 / 17 --- 2025-12-04T09:07:53.2560932Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=FullStateDictConfig in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/api.py line=295. 2025-12-04T09:07:53.2561194Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:53.2561272Z 2025-12-04T09:07:53.2561473Z ``FullStateDictConfig`` is a config class meant to be used with 2025-12-04T09:07:53.2561680Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both 2025-12-04T09:07:53.2561878Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state 2025-12-04T09:07:53.2562093Z dicts to save GPU memory and CPU memory, respectively. This config class 2025-12-04T09:07:53.2562300Z is meant to be used via the :func:`state_dict_type` context manager as 2025-12-04T09:07:53.2562438Z follows: 2025-12-04T09:07:53.2562529Z 2025-12-04T09:07:53.2562658Z >>> # xdoctest: +SKIP("undefined variables") 2025-12-04T09:07:53.2562946Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-12-04T09:07:53.2563083Z >>> fsdp = FSDP(model, auto_wrap_policy=...) 2025-12-04T09:07:53.2563284Z >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True) 2025-12-04T09:07:53.2563499Z >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg): 2025-12-04T09:07:53.2563615Z >>> state = fsdp.state_dict() 2025-12-04T09:07:53.2563821Z >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0. 2025-12-04T09:07:53.2564067Z >>> # To reload checkpoint for inference, finetuning, transfer learning, etc: 2025-12-04T09:07:53.2564295Z >>> model = model_fn() # Initialize model in preparation for wrapping with FSDP 2025-12-04T09:07:53.2564401Z >>> if dist.get_rank() == 0: 2025-12-04T09:07:53.2564594Z >>> # Load checkpoint only on rank 0 to avoid memory redundancy 2025-12-04T09:07:53.2564736Z >>> state_dict = torch.load("my_checkpoint.pt") 2025-12-04T09:07:53.2564855Z >>> model.load_state_dict(state_dict) 2025-12-04T09:07:53.2565096Z >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument 2025-12-04T09:07:53.2565330Z >>> # communicates loaded checkpoint states from rank 0 to rest of the world. 2025-12-04T09:07:53.2565432Z >>> fsdp = FSDP( 2025-12-04T09:07:53.2565514Z ... model, 2025-12-04T09:07:53.2565643Z ... device_id=torch.cuda.current_device(), 2025-12-04T09:07:53.2565755Z ... auto_wrap_policy=..., 2025-12-04T09:07:53.2565858Z ... sync_module_states=True, 2025-12-04T09:07:53.2565939Z ... ) 2025-12-04T09:07:53.2566156Z >>> # After this point, all ranks have FSDP model with loaded checkpoint. 2025-12-04T09:07:53.2566238Z 2025-12-04T09:07:53.2566323Z Attributes: 2025-12-04T09:07:53.2566530Z rank0_only (bool): If ``True``, then only rank 0 saves the full state 2025-12-04T09:07:53.2566731Z dict, and nonzero ranks save an empty dict. If ``False``, then all 2025-12-04T09:07:53.2566896Z ranks save the full state dict. (Default: ``False``) 2025-12-04T09:07:53.2566976Z 2025-12-04T09:07:53.2567472Z Original Error: IndentationError("expected an indented block after 'if' statement on line 10", ('', 11, 1, '_._ = None\n', 11, 2)) 2025-12-04T09:07:53.2567564Z 2025-12-04T09:07:53.2567646Z _._ = None 2025-12-04T09:07:53.2567724Z ^ 2025-12-04T09:07:53.2567832Z warnings.warn(msg) 2025-12-04T09:07:53.2567911Z 2025-12-04T09:07:53.2568098Z --- Parse Warning: 16 / 17 --- 2025-12-04T09:07:53.2569077Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=register_parametrization in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrize.py line=437. 2025-12-04T09:07:53.2569321Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:53.2569489Z Register a parametrization to a tensor in a module. 2025-12-04T09:07:53.2569568Z 2025-12-04T09:07:53.2570058Z Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``, 2025-12-04T09:07:53.2570355Z the module will return the parametrized version ``parametrization(module.weight)``. 2025-12-04T09:07:53.2570614Z If the original tensor requires a gradient, the backward pass will differentiate 2025-12-04T09:07:53.2570902Z through :attr:`parametrization`, and the optimizer will update the tensor accordingly. 2025-12-04T09:07:53.2570996Z 2025-12-04T09:07:53.2571305Z The first time that a module registers a parametrization, this function will add an attribute 2025-12-04T09:07:53.2571676Z ``parametrizations`` to the module of type :class:`~ParametrizationList`. 2025-12-04T09:07:53.2571760Z 2025-12-04T09:07:53.2572011Z The list of parametrizations on the tensor ``weight`` will be accessible under 2025-12-04T09:07:53.2572225Z ``module.parametrizations.weight``. 2025-12-04T09:07:53.2572304Z 2025-12-04T09:07:53.2572439Z The original tensor will be accessible under 2025-12-04T09:07:53.2572597Z ``module.parametrizations.weight.original``. 2025-12-04T09:07:53.2572676Z 2025-12-04T09:07:53.2572937Z Parametrizations may be concatenated by registering several parametrizations 2025-12-04T09:07:53.2573051Z on the same attribute. 2025-12-04T09:07:53.2573129Z 2025-12-04T09:07:53.2573382Z The training mode of a registered parametrization is updated on registration 2025-12-04T09:07:53.2573516Z to match the training mode of the host module 2025-12-04T09:07:53.2573595Z 2025-12-04T09:07:53.2573909Z Parametrized parameters and buffers have an inbuilt caching system that can be activated 2025-12-04T09:07:53.2574035Z using the context manager :func:`cached`. 2025-12-04T09:07:53.2574120Z 2025-12-04T09:07:53.2574369Z A :attr:`parametrization` may optionally implement a method with signature 2025-12-04T09:07:53.2574448Z 2025-12-04T09:07:53.2574557Z .. code-block:: python 2025-12-04T09:07:53.2574646Z 2025-12-04T09:07:53.2574856Z def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]] 2025-12-04T09:07:53.2574945Z 2025-12-04T09:07:53.2575200Z This method is called on the unparametrized tensor when the first parametrization 2025-12-04T09:07:53.2575406Z is registered to compute the initial value of the original tensor. 2025-12-04T09:07:53.2575720Z If this method is not implemented, the original tensor will be just the unparametrized tensor. 2025-12-04T09:07:53.2575799Z 2025-12-04T09:07:53.2576109Z If all the parametrizations registered on a tensor implement `right_inverse` it is possible 2025-12-04T09:07:53.2576403Z to initialize a parametrized tensor by assigning to it, as shown in the example below. 2025-12-04T09:07:53.2576483Z 2025-12-04T09:07:53.2576715Z It is possible for the first parametrization to depend on several inputs. 2025-12-04T09:07:53.2576951Z This may be implemented returning a tuple of tensors from ``right_inverse`` 2025-12-04T09:07:53.2577180Z (see the example implementation of a ``RankOne`` parametrization below). 2025-12-04T09:07:53.2577268Z 2025-12-04T09:07:53.2577596Z In this case, the unconstrained tensors are also located under ``module.parametrizations.weight`` 2025-12-04T09:07:53.2577722Z with names ``original0``, ``original1``,... 2025-12-04T09:07:53.2577811Z 2025-12-04T09:07:53.2577895Z .. note:: 2025-12-04T09:07:53.2577973Z 2025-12-04T09:07:53.2578249Z If unsafe=False (default) both the forward and right_inverse methods will be called 2025-12-04T09:07:53.2578394Z once to perform a number of consistency checks. 2025-12-04T09:07:53.2578666Z If unsafe=True, then right_inverse will be called if the tensor is not parametrized, 2025-12-04T09:07:53.2578788Z and nothing will be called otherwise. 2025-12-04T09:07:53.2578865Z 2025-12-04T09:07:53.2578957Z .. note:: 2025-12-04T09:07:53.2579039Z 2025-12-04T09:07:53.2579239Z In most situations, ``right_inverse`` will be a function such that 2025-12-04T09:07:53.2579365Z ``forward(right_inverse(X)) == X`` (see 2025-12-04T09:07:53.2579656Z `right inverse `_). 2025-12-04T09:07:53.2579916Z Sometimes, when the parametrization is not surjective, it may be reasonable 2025-12-04T09:07:53.2580006Z to relax this. 2025-12-04T09:07:53.2580084Z 2025-12-04T09:07:53.2580181Z .. warning:: 2025-12-04T09:07:53.2580257Z 2025-12-04T09:07:53.2580585Z If a parametrization depends on several inputs, :func:`~register_parametrization` 2025-12-04T09:07:53.2580903Z will register a number of new parameters. If such parametrization is registered 2025-12-04T09:07:53.2581167Z after the optimizer is created, these new parameters will need to be added manually 2025-12-04T09:07:53.2581360Z to the optimizer. See :meth:`torch.Optimizer.add_param_group`. 2025-12-04T09:07:53.2581454Z 2025-12-04T09:07:53.2581535Z Args: 2025-12-04T09:07:53.2581754Z module (nn.Module): module on which to register the parametrization 2025-12-04T09:07:53.2581969Z tensor_name (str): name of the parameter or buffer on which to register 2025-12-04T09:07:53.2582070Z the parametrization 2025-12-04T09:07:53.2582285Z parametrization (nn.Module): the parametrization to register 2025-12-04T09:07:53.2582373Z Keyword args: 2025-12-04T09:07:53.2582590Z unsafe (bool): a boolean flag that denotes whether the parametrization 2025-12-04T09:07:53.2582790Z may change the dtype and shape of the tensor. Default: `False` 2025-12-04T09:07:53.2583059Z Warning: the parametrization is not checked for consistency upon registration. 2025-12-04T09:07:53.2583187Z Enable this flag at your own risk. 2025-12-04T09:07:53.2583262Z 2025-12-04T09:07:53.2583361Z Raises: 2025-12-04T09:07:53.2583713Z ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name` 2025-12-04T09:07:53.2583795Z 2025-12-04T09:07:53.2583893Z Examples: 2025-12-04T09:07:53.2584036Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK) 2025-12-04T09:07:53.2584129Z >>> import torch 2025-12-04T09:07:53.2584243Z >>> import torch.nn as nn 2025-12-04T09:07:53.2584378Z >>> import torch.nn.utils.parametrize as P 2025-12-04T09:07:53.2584477Z >>> 2025-12-04T09:07:53.2584582Z >>> class Symmetric(nn.Module): 2025-12-04T09:07:53.2584682Z >>> def forward(self, X): 2025-12-04T09:07:53.2584873Z >>> return X.triu() + X.triu(1).T # Return a symmetric matrix 2025-12-04T09:07:53.2584953Z >>> 2025-12-04T09:07:53.2585065Z >>> def right_inverse(self, A): 2025-12-04T09:07:53.2585177Z >>> return A.triu() 2025-12-04T09:07:53.2585256Z >>> 2025-12-04T09:07:53.2585352Z >>> m = nn.Linear(5, 5) 2025-12-04T09:07:53.2585527Z >>> P.register_parametrization(m, "weight", Symmetric()) 2025-12-04T09:07:53.2585763Z >>> print(torch.allclose(m.weight, m.weight.T)) # m.weight is now symmetric 2025-12-04T09:07:53.2585857Z True 2025-12-04T09:07:53.2585950Z >>> A = torch.rand(5, 5) 2025-12-04T09:07:53.2586059Z >>> A = A + A.T # A is now symmetric 2025-12-04T09:07:53.2586271Z >>> m.weight = A # Initialize the weight to be the symmetric matrix A 2025-12-04T09:07:53.2586389Z >>> print(torch.allclose(m.weight, A)) 2025-12-04T09:07:53.2586472Z True 2025-12-04T09:07:53.2586563Z 2025-12-04T09:07:53.2586665Z >>> class RankOne(nn.Module): 2025-12-04T09:07:53.2586769Z >>> def forward(self, x, y): 2025-12-04T09:07:53.2586920Z >>> # Form a rank 1 matrix multiplying two vectors 2025-12-04T09:07:53.2587051Z >>> return x.unsqueeze(-1) @ y.unsqueeze(-2) 2025-12-04T09:07:53.2587141Z >>> 2025-12-04T09:07:53.2587252Z >>> def right_inverse(self, Z): 2025-12-04T09:07:53.2587368Z >>> # Project Z onto the rank 1 matrices 2025-12-04T09:07:53.2587526Z >>> U, S, Vh = torch.linalg.svd(Z, full_matrices=False) 2025-12-04T09:07:53.2587638Z >>> # Return rescaled singular vectors 2025-12-04T09:07:53.2587814Z >>> s0_sqrt = S[0].sqrt().unsqueeze(-1) 2025-12-04T09:07:53.2588048Z >>> return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt 2025-12-04T09:07:53.2588129Z >>> 2025-12-04T09:07:53.2588341Z >>> linear_rank_one = P.register_parametrization( 2025-12-04T09:07:53.2588462Z ... nn.Linear(4, 4), "weight", RankOne() 2025-12-04T09:07:53.2588542Z ... ) 2025-12-04T09:07:53.2588751Z >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item()) 2025-12-04T09:07:53.2588830Z 1 2025-12-04T09:07:53.2588907Z 2025-12-04T09:07:53.2588998Z 2025-12-04T09:07:53.2589519Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 3, 0, '_._ = None\n', 3, -1)) 2025-12-04T09:07:53.2589595Z 2025-12-04T09:07:53.2589684Z _._ = None 2025-12-04T09:07:53.2589761Z ^ 2025-12-04T09:07:53.2589852Z warnings.warn(msg) 2025-12-04T09:07:53.2589938Z 2025-12-04T09:07:53.2590147Z --- Parse Warning: 17 / 17 --- 2025-12-04T09:07:53.2591084Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=ReduceLROnPlateau in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py line=1586. 2025-12-04T09:07:53.2591329Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:53.2591503Z Reduce learning rate when a metric has stopped improving. 2025-12-04T09:07:53.2591593Z 2025-12-04T09:07:53.2591791Z Models often benefit from reducing the learning rate by a factor 2025-12-04T09:07:53.2591970Z of 2-10 once learning stagnates. This scheduler reads a metrics 2025-12-04T09:07:53.2592165Z quantity and if no improvement is seen for a 'patience' number 2025-12-04T09:07:53.2592285Z of epochs, the learning rate is reduced. 2025-12-04T09:07:53.2592378Z 2025-12-04T09:07:53.2592457Z Args: 2025-12-04T09:07:53.2592592Z optimizer (Optimizer): Wrapped optimizer. 2025-12-04T09:07:53.2592747Z mode (str): One of `min`, `max`. In `min` mode, lr will 2025-12-04T09:07:53.2592905Z be reduced when the quantity monitored has stopped 2025-12-04T09:07:53.2593063Z decreasing; in `max` mode it will be reduced when the 2025-12-04T09:07:53.2593256Z quantity monitored has stopped increasing. Default: 'min'. 2025-12-04T09:07:53.2593422Z factor (float): Factor by which the learning rate will be 2025-12-04T09:07:53.2593564Z reduced. new_lr = lr * factor. Default: 0.1. 2025-12-04T09:07:53.2593781Z patience (int): The number of allowed epochs with no improvement after 2025-12-04T09:07:53.2593906Z which the learning rate will be reduced. 2025-12-04T09:07:53.2594139Z For example, consider the case of having no patience (`patience = 0`). 2025-12-04T09:07:53.2594501Z In the first epoch, a baseline is established and is always considered good as there's no previous baseline. 2025-12-04T09:07:53.2594707Z In the second epoch, if the performance is worse than the baseline, 2025-12-04T09:07:53.2594865Z we have what is considered an intolerable epoch. 2025-12-04T09:07:53.2595125Z Since the count of intolerable epochs (1) is greater than the patience level (0), 2025-12-04T09:07:53.2595298Z the learning rate is reduced at the end of this epoch. 2025-12-04T09:07:53.2595613Z From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch 2025-12-04T09:07:53.2595923Z if the performance is worse than the baseline. If the performance improves or remains the same, 2025-12-04T09:07:53.2596045Z the learning rate is not adjusted. 2025-12-04T09:07:53.2596137Z Default: 10. 2025-12-04T09:07:53.2596378Z threshold (float): Threshold for measuring the new optimum, 2025-12-04T09:07:53.2596543Z to only focus on significant changes. Default: 1e-4. 2025-12-04T09:07:53.2596709Z threshold_mode (str): One of `rel`, `abs`. In `rel` mode, 2025-12-04T09:07:53.2596925Z dynamic_threshold = best * ( 1 + threshold ) in 'max' 2025-12-04T09:07:53.2597059Z mode or best * ( 1 - threshold ) in `min` mode. 2025-12-04T09:07:53.2597210Z In `abs` mode, dynamic_threshold = best + threshold in 2025-12-04T09:07:53.2597394Z `max` mode or best - threshold in `min` mode. Default: 'rel'. 2025-12-04T09:07:53.2597558Z cooldown (int): Number of epochs to wait before resuming 2025-12-04T09:07:53.2597726Z normal operation after lr has been reduced. Default: 0. 2025-12-04T09:07:53.2597896Z min_lr (float or list): A scalar or a list of scalars. A 2025-12-04T09:07:53.2598051Z lower bound on the learning rate of all param groups 2025-12-04T09:07:53.2598198Z or each group respectively. Default: 0. 2025-12-04T09:07:53.2598368Z eps (float): Minimal decay applied to lr. If the difference 2025-12-04T09:07:53.2598547Z between new and old lr is smaller than eps, the update is 2025-12-04T09:07:53.2598664Z ignored. Default: 1e-8. 2025-12-04T09:07:53.2598744Z 2025-12-04T09:07:53.2598826Z Example: 2025-12-04T09:07:53.2598932Z >>> # xdoctest: +SKIP 2025-12-04T09:07:53.2599152Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9) 2025-12-04T09:07:53.2599313Z >>> scheduler = ReduceLROnPlateau(optimizer, "min") 2025-12-04T09:07:53.2599414Z >>> for epoch in range(10): 2025-12-04T09:07:53.2599503Z >>> train(...) 2025-12-04T09:07:53.2599618Z >>> val_loss = validate(...) 2025-12-04T09:07:53.2599765Z >>> # Note that step should be called after validate() 2025-12-04T09:07:53.2599876Z >>> scheduler.step(val_loss) 2025-12-04T09:07:53.2599966Z 2025-12-04T09:07:53.2600154Z .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png 2025-12-04T09:07:53.2600236Z 2025-12-04T09:07:53.2600655Z Original Error: IndentationError('unexpected indent', ('', 8, 4, ' scheduler.step(val_loss)\n', 8, -1)) 2025-12-04T09:07:53.2600730Z 2025-12-04T09:07:53.2600839Z scheduler.step(val_loss) 2025-12-04T09:07:53.2600916Z ^ 2025-12-04T09:07:53.2601005Z warnings.warn(msg) 2025-12-04T09:07:53.2601091Z 2025-12-04T09:07:53.2601201Z  2025-12-04T09:07:53.2601371Z === Found 10 run-time warnings === 2025-12-04T09:07:53.2601554Z --- Runtime Warning: 1 / 10 --- 2025-12-04T09:07:53.2601746Z example = 2025-12-04T09:07:53.2603207Z :3: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage() 2025-12-04T09:07:53.2603290Z 2025-12-04T09:07:53.2603464Z --- Runtime Warning: 2 / 10 --- 2025-12-04T09:07:53.2603733Z example = 2025-12-04T09:07:53.2605066Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py:1392: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /var/lib/jenkins/workspace/c10/core/TensorImpl.h:1976.) 2025-12-04T09:07:53.2605187Z return super().refine_names(names) 2025-12-04T09:07:53.2605266Z 2025-12-04T09:07:53.2605487Z --- Runtime Warning: 3 / 10 --- 2025-12-04T09:07:53.2605804Z example = 2025-12-04T09:07:53.2606474Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py:275: UserWarning: Warning only once for all operators, other operators may also be overridden. 2025-12-04T09:07:53.2606793Z Overriding a previously registered kernel for the same operator and the same dispatch key 2025-12-04T09:07:53.2606985Z operator: aten::div.Tensor(Tensor self, Tensor other) -> Tensor 2025-12-04T09:07:53.2607275Z registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSchema.cpp:6 2025-12-04T09:07:53.2607378Z dispatch key: CPU 2025-12-04T09:07:53.2607802Z previous kernel: registered at /var/lib/jenkins/workspace/aten/src/ATen/LegacyBatchingRegistrations.cpp:1079 2025-12-04T09:07:53.2608814Z new kernel: registered at :1 (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/core/dispatch/OperatorEntry.cpp:215.) 2025-12-04T09:07:53.2608970Z impl_fn(self.ns, name.split("::")[-1], dispatch_key) 2025-12-04T09:07:53.2609048Z 2025-12-04T09:07:53.2609235Z --- Runtime Warning: 4 / 10 --- 2025-12-04T09:07:53.2609466Z example = 2025-12-04T09:07:53.2611307Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py:117: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. We recommend specifying layout=torch.jagged when constructing a nested tensor, as this layout receives active development, has better operator coverage, and works with torch.compile. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:182.) 2025-12-04T09:07:53.2611547Z return torch._nested_tensor_from_tensor_list(ts, dtype, None, device, None) 2025-12-04T09:07:53.2611623Z 2025-12-04T09:07:53.2611807Z --- Runtime Warning: 5 / 10 --- 2025-12-04T09:07:53.2612055Z example = 2025-12-04T09:07:53.2613676Z :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.) 2025-12-04T09:07:53.2613755Z 2025-12-04T09:07:53.2613924Z --- Runtime Warning: 6 / 10 --- 2025-12-04T09:07:53.2614234Z example = 2025-12-04T09:07:53.2615749Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/const_fold.py:314: UserWarning: Attempted to insert a get_attr Node with no underlying reference in the owning GraphModule! Call GraphModule.add_submodule to add the necessary submodule, GraphModule.add_parameter to add the necessary Parameter, or nn.Module.register_buffer to add the necessary buffer 2025-12-04T09:07:53.2615924Z new_node = root_const_gm.graph.get_attr(in_node.target) 2025-12-04T09:07:53.2616004Z 2025-12-04T09:07:53.2616177Z --- Runtime Warning: 7 / 10 --- 2025-12-04T09:07:53.2616466Z example = 2025-12-04T09:07:53.2617542Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance) 2025-12-04T09:07:53.2617665Z self.encoder = TransformerEncoder( 2025-12-04T09:07:53.2617794Z 2025-12-04T09:07:53.2617969Z --- Runtime Warning: 8 / 10 --- 2025-12-04T09:07:53.2618302Z example = 2025-12-04T09:07:53.2619555Z :2: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance) 2025-12-04T09:07:53.2619646Z 2025-12-04T09:07:53.2619816Z --- Runtime Warning: 9 / 10 --- 2025-12-04T09:07:53.2620086Z example = 2025-12-04T09:07:53.2620901Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py:144: FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`. 2025-12-04T09:07:53.2621020Z WeightNorm.apply(module, name, dim) 2025-12-04T09:07:53.2621110Z 2025-12-04T09:07:53.2621282Z --- Runtime Warning: 10 / 10 --- 2025-12-04T09:07:53.2621584Z example = 2025-12-04T09:07:53.2622400Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py:144: FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`. 2025-12-04T09:07:53.2622513Z WeightNorm.apply(module, name, dim) 2025-12-04T09:07:53.2622590Z 2025-12-04T09:07:53.2622885Z === 378 passed, 516 skipped, 27 warnings in 30.35 seconds === 2025-12-04T09:07:53.2623140Z Finished doctests 1/1 ... [2025-12-04 09:07:53.214487][1170.887498781], took 0.51min 2025-12-04T09:07:53.2623410Z Running inductor/test_flex_attention 1/8 ... [2025-12-04 09:07:53.218961][1170.891985523] 2025-12-04T09:07:53.2623602Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:07:53.2624663Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=1', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:07:53.219532] 2025-12-04T09:08:13.9959797Z 2025-12-04T09:08:13.9960864Z inductor/test_flex_attention 1/8 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_1.8_1173378c98626963_.log 2025-12-04T09:08:13.9961753Z Running 0 items in this shard: 2025-12-04T09:08:13.9961958Z 2025-12-04T09:08:13.9962282Z Finished inductor/test_flex_attention 1/8 ... [2025-12-04 09:08:13.995940][1191.668964266], took 0.35min 2025-12-04T09:08:13.9986061Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-a6c00de7024167c9.xml 2025-12-04T09:08:14.0737890Z Running inductor/test_flex_attention 3/8 ... [2025-12-04 09:08:14.073524][1191.746546882] 2025-12-04T09:08:14.0738426Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:14.0741896Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=3', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:14.073946] 2025-12-04T09:08:28.3821965Z 2025-12-04T09:08:28.3822983Z inductor/test_flex_attention 3/8 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_3.8_133da0c6635618da_.log 2025-12-04T09:08:28.3823925Z Running 0 items in this shard: 2025-12-04T09:08:28.3824117Z 2025-12-04T09:08:28.3824448Z Finished inductor/test_flex_attention 3/8 ... [2025-12-04 09:08:28.382025][1206.05505081], took 0.24min 2025-12-04T09:08:28.3848037Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-4212ec1d49fd4d83.xml 2025-12-04T09:08:28.4585003Z Running inductor/test_flex_attention 4/8 ... [2025-12-04 09:08:28.458223][1206.13124773] 2025-12-04T09:08:28.4585552Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:28.4588766Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=4', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:28.458632] 2025-12-04T09:08:42.7981819Z 2025-12-04T09:08:42.7982803Z inductor/test_flex_attention 4/8 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_4.8_4709f314cbf11fb7_.log 2025-12-04T09:08:42.7983727Z Running 0 items in this shard: 2025-12-04T09:08:42.7983950Z 2025-12-04T09:08:42.7984288Z Finished inductor/test_flex_attention 4/8 ... [2025-12-04 09:08:42.798017][1220.471043185], took 0.24min 2025-12-04T09:08:42.8009110Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-8770571d888d6f23.xml 2025-12-04T09:08:42.8783243Z Running inductor/test_flex_attention 5/8 ... [2025-12-04 09:08:42.878058][1220.551082731] 2025-12-04T09:08:42.8783816Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:42.8787042Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=5', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:42.878471] 2025-12-04T09:08:57.0209848Z 2025-12-04T09:08:57.0210840Z inductor/test_flex_attention 5/8 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_5.8_989e3950b6009cfa_.log 2025-12-04T09:08:57.0211711Z Running 0 items in this shard: 2025-12-04T09:08:57.0211913Z 2025-12-04T09:08:57.0212246Z Finished inductor/test_flex_attention 5/8 ... [2025-12-04 09:08:57.020808][1234.69383516], took 0.24min 2025-12-04T09:08:57.0237935Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-d5a99ecbf69dabf1.xml 2025-12-04T09:08:57.0968649Z Running inductor/test_flex_attention 6/8 ... [2025-12-04 09:08:57.096554][1234.769577603] 2025-12-04T09:08:57.0969196Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:57.0973149Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=6', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:57.097073] 2025-12-04T09:09:11.5709813Z 2025-12-04T09:09:11.5710734Z inductor/test_flex_attention 6/8 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_6.8_784d1c95ad833b5a_.log 2025-12-04T09:09:11.5711632Z Running 0 items in this shard: 2025-12-04T09:09:11.5711821Z 2025-12-04T09:09:11.5712141Z Finished inductor/test_flex_attention 6/8 ... [2025-12-04 09:09:11.570632][1249.243655647], took 0.24min 2025-12-04T09:09:11.5737357Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-14ab412686569fc4.xml 2025-12-04T09:09:11.6497264Z Running inductor/test_flex_attention 7/8 ... [2025-12-04 09:09:11.649412][1249.322434979] 2025-12-04T09:09:11.6497809Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:11.6501268Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=7', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:11.649849] 2025-12-04T09:09:25.6711125Z 2025-12-04T09:09:25.6712502Z inductor/test_flex_attention 7/8 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_7.8_1a9a0f2add45a3fa_.log 2025-12-04T09:09:25.6713822Z Running 0 items in this shard: 2025-12-04T09:09:25.6714124Z 2025-12-04T09:09:25.6714640Z Finished inductor/test_flex_attention 7/8 ... [2025-12-04 09:09:25.670928][1263.343953625], took 0.23min 2025-12-04T09:09:25.6743006Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-48d6a94fbb259a1c.xml 2025-12-04T09:09:25.7582570Z Running inductor/test_flex_attention 8/8 ... [2025-12-04 09:09:25.757929][1263.430951778] 2025-12-04T09:09:25.7583147Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:25.7586070Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=8', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:25.758350] 2025-12-04T09:09:39.9284730Z 2025-12-04T09:09:39.9285738Z inductor/test_flex_attention 8/8 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_8.8_f348fa2a3a391959_.log 2025-12-04T09:09:39.9286614Z Running 0 items in this shard: 2025-12-04T09:09:39.9286817Z 2025-12-04T09:09:39.9287159Z Finished inductor/test_flex_attention 8/8 ... [2025-12-04 09:09:39.928307][1277.601332848], took 0.24min 2025-12-04T09:09:39.9318290Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-1688037a93a80f63.xml 2025-12-04T09:09:40.0153534Z Running inductor/test_cutlass_backend 1/1 ... [2025-12-04 09:09:40.015075][1277.688097443] 2025-12-04T09:09:40.0154069Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:40.0157628Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cutlass_backend.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:40.015498] 2025-12-04T09:09:53.8198709Z 2025-12-04T09:09:53.8199889Z 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_46d0c47dc10be1aa_.log 2025-12-04T09:09:53.8200724Z 2025-12-04T09:09:53.8201054Z Finished inductor/test_cutlass_backend 1/1 ... [2025-12-04 09:09:53.819682][1291.49270709], took 0.23min 2025-12-04T09:09:53.8236437Z Running inductor/test_benchmark_fusion 1/1 ... [2025-12-04 09:09:53.823471][1291.496498001] 2025-12-04T09:09:53.8236969Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:53.8240492Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_benchmark_fusion.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:53.823841] 2025-12-04T09:10:08.1990156Z 2025-12-04T09:10:08.1991334Z 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_57ce999c95ddf9be_.log 2025-12-04T09:10:08.1992217Z Running 0 items in this shard: 2025-12-04T09:10:08.1992407Z 2025-12-04T09:10:08.1992802Z Finished inductor/test_benchmark_fusion 1/1 ... [2025-12-04 09:10:08.198836][1305.871860463], took 0.24min 2025-12-04T09:10:08.2026180Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_benchmark_fusion/inductor.test_benchmark_fusion-b857c05ace63e679.xml 2025-12-04T09:10:08.2814562Z Running inductor/test_distributed_patterns 1/1 ... [2025-12-04 09:10:08.281160][1305.954184287] 2025-12-04T09:10:08.2815370Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:08.2818260Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_distributed_patterns.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:08.281578] 2025-12-04T09:10:22.1229479Z 2025-12-04T09:10:22.1230509Z 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_cb3b8240cda2acf8_.log 2025-12-04T09:10:22.1231431Z Running 0 items in this shard: 2025-12-04T09:10:22.1231633Z 2025-12-04T09:10:22.1232021Z Finished inductor/test_distributed_patterns 1/1 ... [2025-12-04 09:10:22.122781][1319.795806476], took 0.23min 2025-12-04T09:10:22.1265316Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_distributed_patterns/inductor.test_distributed_patterns-a29f4eb9188cc61b.xml 2025-12-04T09:10:22.2071803Z Running test_sort_and_select 1/1 ... [2025-12-04 09:10:22.206887][1319.87991142] 2025-12-04T09:10:22.2072278Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:22.2075372Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_sort_and_select.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:22.207307] 2025-12-04T09:10:27.7939912Z 2025-12-04T09:10:27.7940849Z 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_5fd34677e6b4340a_.log 2025-12-04T09:10:27.7941610Z Running 0 items in this shard: 2025-12-04T09:10:27.7941819Z 2025-12-04T09:10:27.7942097Z Finished test_sort_and_select 1/1 ... [2025-12-04 09:10:27.793795][1325.466820468], took 0.09min 2025-12-04T09:10:27.7978841Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_sort_and_select/test_sort_and_select-6813382ed4147ca0.xml 2025-12-04T09:10:27.8246734Z Running test_privateuseone_python_backend 1/1 ... [2025-12-04 09:10:27.824370][1325.497395311] 2025-12-04T09:10:27.8247281Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:27.8249869Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_privateuseone_python_backend.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:27.824768] 2025-12-04T09:10:32.9542039Z 2025-12-04T09:10:32.9543055Z 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_fb4499b48c00f4e9_.log 2025-12-04T09:10:32.9544067Z Running 0 items in this shard: 2025-12-04T09:10:32.9544261Z 2025-12-04T09:10:32.9544615Z Finished test_privateuseone_python_backend 1/1 ... [2025-12-04 09:10:32.954041][1330.627067184], took 0.09min 2025-12-04T09:10:32.9582911Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_privateuseone_python_backend/test_privateuseone_python_backend-4650ba906c86740f.xml 2025-12-04T09:10:32.9844170Z Running test_cpp_api_parity 1/1 ... [2025-12-04 09:10:32.984247][1330.657273671] 2025-12-04T09:10:32.9844640Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:32.9848406Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cpp_api_parity.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:32.984599] 2025-12-04T09:10:42.8958115Z 2025-12-04T09:10:42.8959231Z 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_a665052749432866_.log 2025-12-04T09:10:42.8959989Z Running 0 items in this shard: 2025-12-04T09:10:42.8960176Z 2025-12-04T09:10:42.8960447Z Finished test_cpp_api_parity 1/1 ... [2025-12-04 09:10:42.895339][1340.568363253], took 0.17min 2025-12-04T09:10:42.8996760Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_api_parity/test_cpp_api_parity-57719c86f57b23d0.xml 2025-12-04T09:10:42.9843377Z Running test_extension_utils 1/1 ... [2025-12-04 09:10:42.984048][1340.657073016] 2025-12-04T09:10:42.9843882Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:42.9846731Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_extension_utils.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:42.984434] 2025-12-04T09:10:48.1444075Z 2025-12-04T09:10:48.1444960Z test_extension_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_extension_utils_1.1_e4d31b3b4b9e3069_.log 2025-12-04T09:10:48.1445731Z Running 0 items in this shard: 2025-12-04T09:10:48.1445940Z 2025-12-04T09:10:48.1446224Z Finished test_extension_utils 1/1 ... [2025-12-04 09:10:48.144235][1345.817258636], took 0.09min 2025-12-04T09:10:48.1507790Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_extension_utils/test_extension_utils-53c52e891e60f6a1.xml 2025-12-04T09:10:48.1784207Z Running test_show_pickle 1/1 ... [2025-12-04 09:10:48.178164][1345.851189336] 2025-12-04T09:10:48.1784673Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:48.1788389Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_show_pickle.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:48.178585] 2025-12-04T09:10:53.2818745Z 2025-12-04T09:10:53.2819570Z test_show_pickle 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_show_pickle_1.1_a8dc32e8c28cb338_.log 2025-12-04T09:10:53.2820310Z Running 0 items in this shard: 2025-12-04T09:10:53.2820503Z 2025-12-04T09:10:53.2820777Z Finished test_show_pickle 1/1 ... [2025-12-04 09:10:53.281719][1350.954744094], took 0.09min 2025-12-04T09:10:53.2864373Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_show_pickle/test_show_pickle-6ae514038f834422.xml 2025-12-04T09:10:53.3134532Z Running test_tensorexpr 1/1 ... [2025-12-04 09:10:53.313225][1350.98624987] 2025-12-04T09:10:53.3135056Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:53.3138282Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_tensorexpr.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:53.313612] 2025-12-04T09:10:58.5344434Z 2025-12-04T09:10:58.5345296Z test_tensorexpr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorexpr_1.1_4514ff6595346bdb_.log 2025-12-04T09:10:58.5346048Z Running 0 items in this shard: 2025-12-04T09:10:58.5346253Z 2025-12-04T09:10:58.5346531Z Finished test_tensorexpr 1/1 ... [2025-12-04 09:10:58.534082][1356.207106629], took 0.09min 2025-12-04T09:10:58.5390131Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_tensorexpr/test_tensorexpr-a57117cba30dda53.xml 2025-12-04T09:10:58.5654084Z Running test_namedtuple_return_api 1/1 ... [2025-12-04 09:10:58.565183][1356.238208827] 2025-12-04T09:10:58.5654578Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:58.5657528Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_namedtuple_return_api.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:58.565533] 2025-12-04T09:11:03.7897516Z 2025-12-04T09:11:03.7898422Z 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_50713511275777b5_.log 2025-12-04T09:11:03.7899251Z Running 0 items in this shard: 2025-12-04T09:11:03.7899440Z 2025-12-04T09:11:03.7899759Z Finished test_namedtuple_return_api 1/1 ... [2025-12-04 09:11:03.789591][1361.462614772], took 0.09min 2025-12-04T09:11:03.7946707Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_namedtuple_return_api/test_namedtuple_return_api-16312e43faad2880.xml 2025-12-04T09:11:03.8371032Z Running test_fake_tensor 1/1 ... [2025-12-04 09:11:03.836874][1361.50989907] 2025-12-04T09:11:03.8371512Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:11:03.8375364Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_fake_tensor.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:11:03.837313] 2025-12-04T09:11:18.3280535Z 2025-12-04T09:11:18.3281466Z test_fake_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fake_tensor_1.1_d65bea380d9f4733_.log 2025-12-04T09:11:18.3286794Z Running 15 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 2025-12-04T09:11:18.3291852Z 2025-12-04T09:11:18.3292111Z Finished test_fake_tensor 1/1 ... [2025-12-04 09:11:18.327926][1376.000950277], took 0.24min 2025-12-04T09:11:18.3331128Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fake_tensor/test_fake_tensor-62597278819b1e9a.xml 2025-12-04T09:11:18.4215378Z Running test_multiprocessing 1/1 ... [2025-12-04 09:11:18.421242][1376.094266426] 2025-12-04T09:11:18.4215963Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:11:18.4218957Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_multiprocessing.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:11:18.421646] 2025-12-04T09:14:03.7875212Z 2025-12-04T09:14:03.7876101Z test_multiprocessing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_1.1_a976b835f7ae6502_.log 2025-12-04T09:14:03.7886817Z Running 30 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_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 2025-12-04T09:14:03.7896934Z 2025-12-04T09:14:03.7897232Z Finished test_multiprocessing 1/1 ... [2025-12-04 09:14:03.787385][1541.460408626], took 2.76min 2025-12-04T09:14:03.7928470Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_multiprocessing/test_multiprocessing-bc31c881c27e7c54.xml 2025-12-04T09:14:03.8870066Z Running test_autograd_fallback 1/1 ... [2025-12-04 09:14:03.886711][1541.559735324] 2025-12-04T09:14:03.8870595Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:14:03.8874117Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_autograd_fallback.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:14:03.887161] 2025-12-04T09:14:09.1173848Z 2025-12-04T09:14:09.1174796Z test_autograd_fallback 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autograd_fallback_1.1_b5ca3130bb5b4c9a_.log 2025-12-04T09:14:09.1175622Z Running 0 items in this shard: 2025-12-04T09:14:09.1175828Z 2025-12-04T09:14:09.1176128Z Finished test_autograd_fallback 1/1 ... [2025-12-04 09:14:09.117237][1546.790263425], took 0.09min 2025-12-04T09:14:09.1228066Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_autograd_fallback/test_autograd_fallback-71deecc7911a014d.xml 2025-12-04T09:14:09.1563668Z Running test_autocast 1/1 ... [2025-12-04 09:14:09.156136][1546.829161974] 2025-12-04T09:14:09.1564130Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:14:09.1567537Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_autocast.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:14:09.156497] 2025-12-04T09:14:14.6830710Z 2025-12-04T09:14:14.6831478Z test_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autocast_1.1_20fe08ff30ef29f6_.log 2025-12-04T09:14:14.6832193Z Running 0 items in this shard: 2025-12-04T09:14:14.6832384Z 2025-12-04T09:14:14.6832641Z Finished test_autocast 1/1 ... [2025-12-04 09:14:14.682914][1552.355939166], took 0.09min 2025-12-04T09:14:14.6886778Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_autocast/test_autocast-eef7558c561c3ce5.xml 2025-12-04T09:14:14.7171210Z Running test_jit_disabled 1/1 ... [2025-12-04 09:14:14.716922][1552.389947278] 2025-12-04T09:14:14.7171679Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:14:14.7175281Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_jit_disabled.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:14:14.717297] 2025-12-04T09:14:19.8783981Z 2025-12-04T09:14:19.8785290Z test_jit_disabled 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_disabled_1.1_4b2ad7ece5f52786_.log 2025-12-04T09:14:19.8786473Z Running 0 items in this shard: 2025-12-04T09:14:19.8786786Z 2025-12-04T09:14:19.8787239Z Finished test_jit_disabled 1/1 ... [2025-12-04 09:14:19.878237][1557.551262784], took 0.09min 2025-12-04T09:14:19.8866684Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jit_disabled/test_jit_disabled-1d62bc4b142971bd.xml 2025-12-04T09:14:19.9200353Z Running test_cpp_extensions_mtia_backend 1/1 ... [2025-12-04 09:14:19.919800][1557.59282604] 2025-12-04T09:14:19.9200875Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:14:19.9204035Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cpp_extensions_mtia_backend.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:14:19.920176] 2025-12-04T09:14:25.1005200Z 2025-12-04T09:14:25.1006203Z 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_4c93f1a476f0ddc3_.log 2025-12-04T09:14:25.1007062Z Running 0 items in this shard: 2025-12-04T09:14:25.1007265Z 2025-12-04T09:14:25.1007594Z Finished test_cpp_extensions_mtia_backend 1/1 ... [2025-12-04 09:14:25.100382][1562.773405686], took 0.09min 2025-12-04T09:14:25.1064137Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_mtia_backend/test_cpp_extensions_mtia_backend-5fb1276256d39929.xml 2025-12-04T09:14:25.1337603Z Running functorch/test_memory_efficient_fusion 1/1 ... [2025-12-04 09:14:25.133552][1562.806577863] 2025-12-04T09:14:25.1338158Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:14:25.1341388Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_memory_efficient_fusion.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:14:25.133916] 2025-12-04T09:14:30.6433809Z 2025-12-04T09:14:30.6434843Z functorch/test_memory_efficient_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_memory_efficient_fusion_1.1_c64a189ffda61ae9_.log 2025-12-04T09:14:30.6435801Z Running 0 items in this shard: 2025-12-04T09:14:30.6435987Z 2025-12-04T09:14:30.6436620Z Finished functorch/test_memory_efficient_fusion 1/1 ... [2025-12-04 09:14:30.643205][1568.316230503], took 0.09min 2025-12-04T09:14:30.6494292Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_memory_efficient_fusion/functorch.test_memory_efficient_fusion-4960778cd5ec2176.xml 2025-12-04T09:14:30.6761195Z Running test_cpp_extensions_stream_and_event 1/1 ... [2025-12-04 09:14:30.675903][1568.348929063] 2025-12-04T09:14:30.6761743Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:14:30.6764991Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cpp_extensions_stream_and_event.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:14:30.676263] 2025-12-04T09:14:35.7790608Z 2025-12-04T09:14:35.7791598Z 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_17db633150591bcf_.log 2025-12-04T09:14:35.7792535Z Running 0 items in this shard: 2025-12-04T09:14:35.7792725Z 2025-12-04T09:14:35.7793073Z Finished test_cpp_extensions_stream_and_event 1/1 ... [2025-12-04 09:14:35.778882][1573.451907118], took 0.09min 2025-12-04T09:14:35.7852878Z 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-0f0e2fe03b311b84.xml 2025-12-04T09:14:35.8151025Z Running test_dispatch 1/1 ... [2025-12-04 09:14:35.814874][1573.487900486] 2025-12-04T09:14:35.8151497Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:14:35.8154862Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_dispatch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:14:35.815241] 2025-12-04T09:14:41.0263389Z 2025-12-04T09:14:41.0264280Z test_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dispatch_1.1_84b3731d005e6efb_.log 2025-12-04T09:14:41.0265019Z Running 0 items in this shard: 2025-12-04T09:14:41.0265207Z 2025-12-04T09:14:41.0265456Z Finished test_dispatch 1/1 ... [2025-12-04 09:14:41.026174][1578.69919872], took 0.09min 2025-12-04T09:14:41.0328075Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dispatch/test_dispatch-f945dc353d84bc63.xml 2025-12-04T09:14:41.0632812Z Running nn/test_convolution 1/1 ... [2025-12-04 09:14:41.063065][1578.736090536] 2025-12-04T09:14:41.0633306Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:14:41.0637078Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_convolution.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:14:41.063461] 2025-12-04T09:14:47.3466496Z 2025-12-04T09:14:47.3467379Z nn/test_convolution 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_convolution_1.1_5f95675ab14672cb_.log 2025-12-04T09:14:47.3468195Z Running 0 items in this shard: 2025-12-04T09:14:47.3468385Z 2025-12-04T09:14:47.3468674Z Finished nn/test_convolution 1/1 ... [2025-12-04 09:14:47.346511][1585.019534164], took 0.10min 2025-12-04T09:14:47.3534414Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_convolution/nn.test_convolution-d94199c417a16060.xml 2025-12-04T09:14:47.4217357Z Running test_cpp_extensions_jit 1/1 ... [2025-12-04 09:14:47.421471][1585.094496396] 2025-12-04T09:14:47.4217852Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:14:47.4221733Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cpp_extensions_jit.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:14:47.421881] 2025-12-04T09:14:52.9333355Z 2025-12-04T09:14:52.9334257Z 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_970161bcae97d5e6_.log 2025-12-04T09:14:52.9335056Z Running 0 items in this shard: 2025-12-04T09:14:52.9335247Z 2025-12-04T09:14:52.9335554Z Finished test_cpp_extensions_jit 1/1 ... [2025-12-04 09:14:52.933167][1590.606192476], took 0.09min 2025-12-04T09:14:52.9401929Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_jit/test_cpp_extensions_jit-198c6c7b5a146be9.xml 2025-12-04T09:14:52.9670827Z Running test_cuda_trace 1/1 ... [2025-12-04 09:14:52.966836][1590.63986181] 2025-12-04T09:14:52.9671299Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:14:52.9675021Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_trace.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:14:52.967254] 2025-12-04T09:14:58.1054588Z 2025-12-04T09:14:58.1055432Z test_cuda_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_trace_1.1_48548db83aaeef53_.log 2025-12-04T09:14:58.1056144Z Running 0 items in this shard: 2025-12-04T09:14:58.1056350Z 2025-12-04T09:14:58.1056601Z Finished test_cuda_trace 1/1 ... [2025-12-04 09:14:58.105281][1595.778305588], took 0.09min 2025-12-04T09:14:58.1127590Z Running test_native_mha 1/1 ... [2025-12-04 09:14:58.112588][1595.785614886] 2025-12-04T09:14:58.1128061Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:14:58.1132079Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_native_mha.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:14:58.112980] 2025-12-04T09:15:03.6525423Z 2025-12-04T09:15:03.6526243Z test_native_mha 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_mha_1.1_d3cc757e2e146bbb_.log 2025-12-04T09:15:03.6526960Z Running 0 items in this shard: 2025-12-04T09:15:03.6527164Z 2025-12-04T09:15:03.6527417Z Finished test_native_mha 1/1 ... [2025-12-04 09:15:03.652365][1601.325391163], took 0.09min 2025-12-04T09:15:03.6621496Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_native_mha/test_native_mha-a16d832c059aa0ba.xml 2025-12-04T09:15:03.7397946Z Running test_cuda_nvml_based_avail 1/1 ... [2025-12-04 09:15:03.739538][1601.41256305] 2025-12-04T09:15:03.7398445Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:03.7402098Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_nvml_based_avail.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:15:03.739952] 2025-12-04T09:15:08.8956554Z 2025-12-04T09:15:08.8957497Z 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_23ffc1b69b25caf9_.log 2025-12-04T09:15:08.8958332Z Running 0 items in this shard: 2025-12-04T09:15:08.8958522Z 2025-12-04T09:15:08.8958831Z Finished test_cuda_nvml_based_avail 1/1 ... [2025-12-04 09:15:08.895472][1606.568496888], took 0.09min 2025-12-04T09:15:08.9031037Z Running test_mobile_optimizer 1/1 ... [2025-12-04 09:15:08.902918][1606.575944883] 2025-12-04T09:15:08.9031521Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:08.9035607Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_mobile_optimizer.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:15:08.903310] 2025-12-04T09:15:14.5938038Z 2025-12-04T09:15:14.5939196Z test_mobile_optimizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mobile_optimizer_1.1_5384f3c119a6ba0a_.log 2025-12-04T09:15:14.5949831Z Running 30 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_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 2025-12-04T09:15:14.5959973Z 2025-12-04T09:15:14.5960266Z Finished test_mobile_optimizer 1/1 ... [2025-12-04 09:15:14.593697][1612.266722164], took 0.09min 2025-12-04T09:15:14.6011001Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_mobile_optimizer/test_mobile_optimizer-f7fb384bcb8a491d.xml 2025-12-04T09:15:14.6887583Z Running test_cuda_primary_ctx 1/1 ... [2025-12-04 09:15:14.688485][1612.36151091] 2025-12-04T09:15:14.6888071Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:14.6891402Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_primary_ctx.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:15:14.688884] 2025-12-04T09:15:20.0728992Z 2025-12-04T09:15:20.0729933Z 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_1d4fcb84edd943c1_.log 2025-12-04T09:15:20.0730704Z Running 0 items in this shard: 2025-12-04T09:15:20.0730909Z 2025-12-04T09:15:20.0731441Z Finished test_cuda_primary_ctx 1/1 ... [2025-12-04 09:15:20.072745][1617.74577098], took 0.09min 2025-12-04T09:15:20.0805870Z Running distributions/test_distributions 1/1 ... [2025-12-04 09:15:20.080414][1617.753440441] 2025-12-04T09:15:20.0806400Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:20.0810006Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'distributions/test_distributions.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:15:20.080792] 2025-12-04T09:15:26.1493496Z 2025-12-04T09:15:26.1494522Z distributions/test_distributions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_distributions_1.1_edfaf975657be39b_.log 2025-12-04T09:15:26.1500950Z Running 15 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 2025-12-04T09:15:26.1506987Z 2025-12-04T09:15:26.1507337Z Finished distributions/test_distributions 1/1 ... [2025-12-04 09:15:26.149207][1623.822231297], took 0.10min 2025-12-04T09:15:26.1567051Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/distributions.test_distributions/distributions.test_distributions-6b1d3c2d260ec7d5.xml 2025-12-04T09:15:26.2474368Z Running test_autoload_disable 1/1 ... [2025-12-04 09:15:26.247172][1623.920196554] 2025-12-04T09:15:26.6834236Z Processing /var/lib/jenkins/workspace/test/cpp_extensions 2025-12-04T09:15:31.8060491Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:15:31.8084372Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension 2025-12-04T09:15:44.9827878Z Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ done 2025-12-04T09:15:45.0124178Z [?25h Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp310-cp310-linux_x86_64.whl size=10079586 sha256=5d040ab85a2220569d2b50594ea23fd358a51aabd32cbf97a807348db2599a0e 2025-12-04T09:15:45.0125581Z Stored in directory: /tmp/pip-ephem-wheel-cache-38gzxnzd/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1 2025-12-04T09:15:45.0151053Z Successfully built torch_test_cpp_extension 2025-12-04T09:15:45.6119715Z Installing collected packages: torch_test_cpp_extension 2025-12-04T09:15:45.8471118Z Successfully installed torch_test_cpp_extension-0.0.0 2025-12-04T09:15:50.2345742Z 2025-12-04T09:15:50.2346350Z Running tests... 2025-12-04T09:15:50.2346779Z ---------------------------------------------------------------------- 2025-12-04T09:15:50.4262834Z . 2025-12-04T09:15:50.4263197Z ---------------------------------------------------------------------- 2025-12-04T09:15:50.4263938Z Ran 1 test in 0.192s 2025-12-04T09:15:50.4264117Z 2025-12-04T09:15:50.4264200Z OK 2025-12-04T09:15:50.4264311Z 2025-12-04T09:15:50.4264435Z Generating XML reports... 2025-12-04T09:15:51.2322983Z Finished test_autoload_disable 1/1 ... [2025-12-04 09:15:51.231945][1648.904960554], took 0.42min 2025-12-04T09:15:51.2397984Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204091550.xml 2025-12-04T09:15:51.3348683Z Running test_autoload_enable 1/1 ... [2025-12-04 09:15:51.334619][1649.007643408] 2025-12-04T09:15:51.7788064Z Processing /var/lib/jenkins/workspace/test/cpp_extensions 2025-12-04T09:15:56.8751524Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:15:56.8775291Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension 2025-12-04T09:16:10.1011463Z Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ | done 2025-12-04T09:16:10.1311692Z [?25h Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp310-cp310-linux_x86_64.whl size=10079586 sha256=376ae125b1b3f83f1548569a5531171d3913540935c87af8c3a38dbc1b7f1e46 2025-12-04T09:16:10.1313090Z Stored in directory: /tmp/pip-ephem-wheel-cache-dc19p9oy/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1 2025-12-04T09:16:10.1339664Z Successfully built torch_test_cpp_extension 2025-12-04T09:16:10.7343773Z Installing collected packages: torch_test_cpp_extension 2025-12-04T09:16:10.9727600Z Successfully installed torch_test_cpp_extension-0.0.0 2025-12-04T09:16:15.3555338Z 2025-12-04T09:16:15.3555883Z Running tests... 2025-12-04T09:16:15.3556263Z ---------------------------------------------------------------------- 2025-12-04T09:16:15.5473407Z . 2025-12-04T09:16:15.5473901Z ---------------------------------------------------------------------- 2025-12-04T09:16:15.5474524Z Ran 1 test in 0.192s 2025-12-04T09:16:15.5474682Z 2025-12-04T09:16:15.5474815Z OK 2025-12-04T09:16:15.5474919Z 2025-12-04T09:16:15.5475042Z Generating XML reports... 2025-12-04T09:16:16.3562465Z Finished test_autoload_enable 1/1 ... [2025-12-04 09:16:16.355897][1674.028915418], took 0.42min 2025-12-04T09:16:16.3638175Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204091615.xml 2025-12-04T09:16:16.4432870Z Running test_cpp_extensions_aot_ninja 1/1 ... [2025-12-04 09:16:16.443037][1674.116061141] 2025-12-04T09:16:16.9258292Z Processing /var/lib/jenkins/workspace/test/cpp_extensions 2025-12-04T09:16:22.0571512Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:16:22.0595955Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension 2025-12-04T09:16:32.6385882Z Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - done 2025-12-04T09:16:32.6457224Z [?25h Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp310-cp310-linux_x86_64.whl size=2185946 sha256=d88747261aa06c9a145de60d004f3ed8877152c98435978e29b00b32f4b6ac81 2025-12-04T09:16:32.6458747Z Stored in directory: /tmp/pip-ephem-wheel-cache-fgxlii85/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1 2025-12-04T09:16:32.6484517Z Successfully built torch_test_cpp_extension 2025-12-04T09:16:33.2449975Z Installing collected packages: torch_test_cpp_extension 2025-12-04T09:16:33.3048886Z Successfully installed torch_test_cpp_extension-0.0.0 2025-12-04T09:16:33.8260951Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test 2025-12-04T09:16:37.4348350Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:16:37.4371594Z [?25hBuilding wheels for collected packages: no_python_abi_suffix_test 2025-12-04T09:16:41.4835170Z Building wheel for no_python_abi_suffix_test (pyproject.toml) ... [?25l- \ | done 2025-12-04T09:16:41.4844250Z [?25h Created wheel for no_python_abi_suffix_test: filename=no_python_abi_suffix_test-0.0.0-cp310-cp310-linux_x86_64.whl size=2983 sha256=4f7a663c15e71fc4d9782777082ebef2b92207a87f2749422d34cc453e53dcd0 2025-12-04T09:16:41.4845810Z Stored in directory: /tmp/pip-ephem-wheel-cache-3t50p7ss/wheels/8c/c7/11/bcf2bfbdebb3cf78b8211ac54acc945a8fdf1732548d147a80 2025-12-04T09:16:41.4869386Z Successfully built no_python_abi_suffix_test 2025-12-04T09:16:42.0860545Z Installing collected packages: no_python_abi_suffix_test 2025-12-04T09:16:42.0986701Z Successfully installed no_python_abi_suffix_test-0.0.0 2025-12-04T09:16:42.1868435Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:16:42.1872668Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cpp_extensions_aot_ninja.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:16:42.187012] 2025-12-04T09:16:47.6417422Z 2025-12-04T09:16:47.6418458Z 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_b1250998b5a46821_.log 2025-12-04T09:16:47.6419318Z Running 0 items in this shard: 2025-12-04T09:16:47.6419506Z 2025-12-04T09:16:47.6419834Z Finished test_cpp_extensions_aot_ninja 1/1 ... [2025-12-04 09:16:47.641662][1705.314687082], took 0.52min 2025-12-04T09:16:47.6493796Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_aot_ninja/test_cpp_extensions_aot_ninja-bbda9ea958e102e9.xml 2025-12-04T09:16:47.7478182Z Running test_cpp_extensions_aot_no_ninja 1/1 ... [2025-12-04 09:16:47.747544][1705.420567656] 2025-12-04T09:16:48.1892940Z Processing /var/lib/jenkins/workspace/test/cpp_extensions 2025-12-04T09:16:53.3491203Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:16:53.3514628Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension 2025-12-04T09:17:06.4537527Z Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ done 2025-12-04T09:17:06.4833632Z [?25h Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp310-cp310-linux_x86_64.whl size=10079586 sha256=6b1ee11c520b3c121a8c9c3f970e39a92e2dc70306e717ff46655880343f7f50 2025-12-04T09:17:06.4835398Z Stored in directory: /tmp/pip-ephem-wheel-cache-awne8a9j/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1 2025-12-04T09:17:06.4859200Z Successfully built torch_test_cpp_extension 2025-12-04T09:17:07.0845525Z Installing collected packages: torch_test_cpp_extension 2025-12-04T09:17:07.3226514Z Successfully installed torch_test_cpp_extension-0.0.0 2025-12-04T09:17:07.8504686Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test 2025-12-04T09:17:11.4478292Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:17:11.4501537Z [?25hBuilding wheels for collected packages: no_python_abi_suffix_test 2025-12-04T09:17:15.3870650Z Building wheel for no_python_abi_suffix_test (pyproject.toml) ... [?25l- \ | done 2025-12-04T09:17:15.3879408Z [?25h Created wheel for no_python_abi_suffix_test: filename=no_python_abi_suffix_test-0.0.0-cp310-cp310-linux_x86_64.whl size=2983 sha256=fbce773f064e760fa95173bbc896b05b24b9220fb46f845eaa84ec9e2e747d5f 2025-12-04T09:17:15.3881147Z Stored in directory: /tmp/pip-ephem-wheel-cache-2bdwhftn/wheels/8c/c7/11/bcf2bfbdebb3cf78b8211ac54acc945a8fdf1732548d147a80 2025-12-04T09:17:15.3904682Z Successfully built no_python_abi_suffix_test 2025-12-04T09:17:15.9880310Z Installing collected packages: no_python_abi_suffix_test 2025-12-04T09:17:16.0016149Z Successfully installed no_python_abi_suffix_test-0.0.0 2025-12-04T09:17:16.0880218Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:17:16.0884899Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cpp_extensions_aot_no_ninja.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:17:16.088173] 2025-12-04T09:17:21.4816419Z 2025-12-04T09:17:21.4817892Z 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_a81513db0f93845e_.log 2025-12-04T09:17:21.4818763Z Running 0 items in this shard: 2025-12-04T09:17:21.4818955Z 2025-12-04T09:17:21.4819298Z Finished test_cpp_extensions_aot_no_ninja 1/1 ... [2025-12-04 09:17:21.481541][1739.154564255], took 0.56min 2025-12-04T09:17:21.4895505Z 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-70221d15b12ef328.xml 2025-12-04T09:17:21.6043580Z Running inductor/test_collective_autotuning 1/1 ... [2025-12-04 09:17:21.603315][1739.276339597] 2025-12-04T09:17:21.6044643Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:17:21.6046037Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_collective_autotuning.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:17:21.603702] 2025-12-04T09:17:24.9541104Z 2025-12-04T09:17:24.9542113Z inductor/test_collective_autotuning 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_collective_autotuning_1.1_30b53f2796f2c3d8_.log 2025-12-04T09:17:24.9542944Z 2025-12-04T09:17:24.9543303Z Finished inductor/test_collective_autotuning 1/1 ... [2025-12-04 09:17:24.953937][1742.626963356], took 0.06min 2025-12-04T09:17:24.9645289Z Running inductor/test_smoke 1/1 ... [2025-12-04 09:17:24.964361][1742.637387824] 2025-12-04T09:17:24.9645742Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:17:24.9649941Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_smoke.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:17:24.964781] 2025-12-04T09:17:38.5674658Z 2025-12-04T09:17:38.5675543Z inductor/test_smoke 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_smoke_1.1_b494f15783029073_.log 2025-12-04T09:17:38.5676203Z 2025-12-04T09:17:38.5676481Z Finished inductor/test_smoke 1/1 ... [2025-12-04 09:17:38.567237][1756.240260558], took 0.23min 2025-12-04T09:17:38.5757818Z Running inductor/test_triton_cpu_backend 1/1 ... [2025-12-04 09:17:38.575607][1756.248633007] 2025-12-04T09:17:38.5758414Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:17:38.5762121Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_triton_cpu_backend.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:17:38.575980] 2025-12-04T09:17:52.4360104Z 2025-12-04T09:17:52.4361104Z inductor/test_triton_cpu_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_cpu_backend_1.1_95e9c53733909e6b_.log 2025-12-04T09:17:52.4361894Z 2025-12-04T09:17:52.4362231Z Finished inductor/test_triton_cpu_backend 1/1 ... [2025-12-04 09:17:52.435805][1770.108830195], took 0.23min 2025-12-04T09:17:52.4443634Z Running inductor/test_subgraph_choice 1/1 ... [2025-12-04 09:17:52.444197][1770.117223936] 2025-12-04T09:17:52.4444154Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:17:52.4448227Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_subgraph_choice.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:17:52.444576] 2025-12-04T09:18:05.8183030Z 2025-12-04T09:18:05.8184118Z inductor/test_subgraph_choice 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_subgraph_choice_1.1_e7623f2cdc689f2e_.log 2025-12-04T09:18:05.8184969Z 2025-12-04T09:18:05.8185372Z Finished inductor/test_subgraph_choice 1/1 ... [2025-12-04 09:18:05.818095][1783.491119815], took 0.22min 2025-12-04T09:18:05.8267523Z Running inductor/test_flex_flash 1/1 ... [2025-12-04 09:18:05.826568][1783.499594517] 2025-12-04T09:18:05.8268004Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:18:05.8272272Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_flash.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:18:05.826958] 2025-12-04T09:18:12.4983723Z 2025-12-04T09:18:12.4984671Z 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_d0fbb7e4461a0f9a_.log 2025-12-04T09:18:12.4985497Z Running 0 items in this shard: 2025-12-04T09:18:12.4985690Z 2025-12-04T09:18:12.4985990Z Finished inductor/test_flex_flash 1/1 ... [2025-12-04 09:18:12.498178][1790.171203537], took 0.11min 2025-12-04T09:18:12.5061804Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_flash/inductor.test_flex_flash-78ef4bcf8c84ef16.xml 2025-12-04T09:18:12.5827911Z Running inductor/test_cooperative_reductions 1/1 ... [2025-12-04 09:18:12.582519][1790.255543134] 2025-12-04T09:18:12.5828486Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:18:12.5831544Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cooperative_reductions.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:18:12.582903] 2025-12-04T09:18:26.0341382Z 2025-12-04T09:18:26.0343100Z 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_eaeeb01af46c2028_.log 2025-12-04T09:18:26.0344550Z 2025-12-04T09:18:26.0345161Z Finished inductor/test_cooperative_reductions 1/1 ... [2025-12-04 09:18:26.033927][1803.706952172], took 0.22min 2025-12-04T09:18:26.0427090Z Running inductor/test_control_deps 1/1 ... [2025-12-04 09:18:26.042500][1803.715527331] 2025-12-04T09:18:26.0427617Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:18:26.0431013Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_control_deps.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:18:26.042869] 2025-12-04T09:18:39.5361662Z 2025-12-04T09:18:39.5362633Z inductor/test_control_deps 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_control_deps_1.1_d20580ab9a1fda20_.log 2025-12-04T09:18:39.5363363Z 2025-12-04T09:18:39.5363690Z Finished inductor/test_control_deps 1/1 ... [2025-12-04 09:18:39.535977][1817.209001616], took 0.22min 2025-12-04T09:18:39.5448068Z Running inductor/test_profiler 1/1 ... [2025-12-04 09:18:39.544633][1817.21765953] 2025-12-04T09:18:39.5448542Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:18:39.5453067Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_profiler.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:18:39.545057] 2025-12-04T09:18:53.0606499Z 2025-12-04T09:18:53.0607442Z inductor/test_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_profiler_1.1_7e3a885ca32e55be_.log 2025-12-04T09:18:53.0608142Z 2025-12-04T09:18:53.0608440Z Finished inductor/test_profiler 1/1 ... [2025-12-04 09:18:53.060426][1830.733451149], took 0.23min 2025-12-04T09:18:53.0748082Z Running inductor/test_mix_order_reduction 1/1 ... [2025-12-04 09:18:53.074621][1830.747646808] 2025-12-04T09:18:53.0748616Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:18:53.0752239Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_mix_order_reduction.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:18:53.074995] 2025-12-04T09:19:06.5853133Z 2025-12-04T09:19:06.5854146Z inductor/test_mix_order_reduction 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mix_order_reduction_1.1_0d0bc70a774952df_.log 2025-12-04T09:19:06.5854959Z 2025-12-04T09:19:06.5855304Z Finished inductor/test_mix_order_reduction 1/1 ... [2025-12-04 09:19:06.585139][1844.25816403], took 0.23min 2025-12-04T09:19:06.5937227Z Running inductor/test_fxir_backend 1/1 ... [2025-12-04 09:19:06.593545][1844.266572047] 2025-12-04T09:19:06.5937735Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:19:06.5941484Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_fxir_backend.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:19:06.593927] 2025-12-04T09:19:20.2004451Z 2025-12-04T09:19:20.2005414Z inductor/test_fxir_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fxir_backend_1.1_f5c1f65565e26c66_.log 2025-12-04T09:19:20.2006166Z 2025-12-04T09:19:20.2006475Z Finished inductor/test_fxir_backend 1/1 ... [2025-12-04 09:19:20.200212][1857.87323488], took 0.23min 2025-12-04T09:19:20.2087526Z Running nn/attention/test_fa4 1/1 ... [2025-12-04 09:19:20.208564][1857.881590898] 2025-12-04T09:19:20.2088007Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:19:20.2092383Z Executing ['/opt/conda/envs/py_3.10/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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:19:20.208993] 2025-12-04T09:19:25.6908003Z 2025-12-04T09:19:25.6908920Z 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_2648a4c4fa0bb243_.log 2025-12-04T09:19:25.6909713Z Running 0 items in this shard: 2025-12-04T09:19:25.6909938Z 2025-12-04T09:19:25.6910230Z Finished nn/attention/test_fa4 1/1 ... [2025-12-04 09:19:25.690647][1863.363671911], took 0.09min 2025-12-04T09:19:25.6986911Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.attention.test_fa4/nn.attention.test_fa4-c5a158c3552bd9d0.xml 2025-12-04T09:19:25.7874423Z Running test_cuda_sanitizer 1/1 ... [2025-12-04 09:19:25.787151][1863.460175235] 2025-12-04T09:19:25.7874934Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:19:25.7878527Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_sanitizer.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:19:25.787567] 2025-12-04T09:19:30.9983052Z 2025-12-04T09:19:30.9983968Z test_cuda_sanitizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_sanitizer_1.1_383d7f77ddb1d77b_.log 2025-12-04T09:19:30.9985062Z Running 0 items in this shard: 2025-12-04T09:19:30.9985264Z 2025-12-04T09:19:30.9985538Z Finished test_cuda_sanitizer 1/1 ... [2025-12-04 09:19:30.998153][1868.671176804], took 0.09min 2025-12-04T09:19:31.0063024Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda_sanitizer/test_cuda_sanitizer-cc89374f58cd9edd.xml 2025-12-04T09:19:31.0349006Z Running functorch/test_aotdispatch 8/13 ... [2025-12-04 09:19:31.034652][1868.707677642] 2025-12-04T09:19:31.0349525Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:19:31.0352797Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'serial', '--shard-id=8', '--num-shards=13', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:19:31.035033] 2025-12-04T09:19:40.6447002Z 2025-12-04T09:19:40.6447984Z functorch/test_aotdispatch 8/13 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_8.13_070c53a749ad5353_.log 2025-12-04T09:19:40.6448825Z Running 0 items in this shard: 2025-12-04T09:19:40.6449026Z 2025-12-04T09:19:40.6449347Z Finished functorch/test_aotdispatch 8/13 ... [2025-12-04 09:19:40.644556][1878.317580872], took 0.16min 2025-12-04T09:19:40.6529598Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_aotdispatch/functorch.test_aotdispatch-7ced1ce9dc9768c0.xml 2025-12-04T09:19:40.7515495Z Running test_accelerator 1/1 ... [2025-12-04 09:19:40.751292][1878.424315501] 2025-12-04T09:19:40.7515947Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:19:40.7519283Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_accelerator.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:19:40.751689] 2025-12-04T09:19:45.7987450Z 2025-12-04T09:19:45.7988349Z test_accelerator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_accelerator_1.1_92cabd5ddc1fee63_.log 2025-12-04T09:19:45.7988985Z 2025-12-04T09:19:45.7989251Z Finished test_accelerator 1/1 ... [2025-12-04 09:19:45.798556][1883.471579889], took 0.08min 2025-12-04T09:19:50.7672154Z Running inductor/test_collective_autotuning 1/1 ... [2025-12-04 09:19:50.766807][1888.439829864] 2025-12-04T09:19:50.7672918Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:19:50.7673663Z Running inductor/test_smoke 1/1 ... [2025-12-04 09:19:50.767168][1888.440188487] 2025-12-04T09:19:50.7674254Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:19:50.7674738Z Running inductor/test_triton_cpu_backend 1/1 ... [2025-12-04 09:19:50.767204][1888.440225914] 2025-12-04T09:19:50.7675280Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:19:50.7676642Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_collective_autotuning.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:19:50.767317] 2025-12-04T09:19:50.7679558Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_triton_cpu_backend.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:19:50.767686] 2025-12-04T09:19:50.7682030Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_smoke.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:19:50.767724] 2025-12-04T09:19:54.2805191Z 2025-12-04T09:19:54.2806258Z inductor/test_collective_autotuning 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_collective_autotuning_1.1_0a817e028a08bea0_.log 2025-12-04T09:19:54.2807096Z 2025-12-04T09:19:54.2807468Z Finished inductor/test_collective_autotuning 1/1 ... [2025-12-04 09:19:54.280478][1891.953502895], took 0.06min 2025-12-04T09:20:00.1445093Z Running inductor/test_subgraph_choice 1/1 ... [2025-12-04 09:20:00.144112][1897.81713417] 2025-12-04T09:20:00.1445655Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:20:00.1448741Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_subgraph_choice.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:20:00.144635] 2025-12-04T09:20:05.3710944Z 2025-12-04T09:20:05.3712509Z inductor/test_triton_cpu_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_cpu_backend_1.1_3f5dbee3dbcea03a_.log 2025-12-04T09:20:05.3713857Z 2025-12-04T09:20:05.3714449Z Finished inductor/test_triton_cpu_backend 1/1 ... [2025-12-04 09:20:05.370874][1903.043896655], took 0.24min 2025-12-04T09:20:08.7063269Z 2025-12-04T09:20:08.7064247Z inductor/test_smoke 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_smoke_1.1_2dea91f87b6d243b_.log 2025-12-04T09:20:08.7064925Z 2025-12-04T09:20:08.7065206Z Finished inductor/test_smoke 1/1 ... [2025-12-04 09:20:08.706123][1906.37914506], took 0.30min 2025-12-04T09:20:11.3535410Z Running inductor/test_flex_flash 1/1 ... [2025-12-04 09:20:11.352988][1909.026006289] 2025-12-04T09:20:11.3536346Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:20:11.3541635Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_flash.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:20:11.353712] 2025-12-04T09:20:14.5437233Z 2025-12-04T09:20:14.5438507Z inductor/test_subgraph_choice 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_subgraph_choice_1.1_32ce3aa9f8e1f628_.log 2025-12-04T09:20:14.5439352Z 2025-12-04T09:20:14.5439683Z Finished inductor/test_subgraph_choice 1/1 ... [2025-12-04 09:20:14.543453][1912.216477575], took 0.24min 2025-12-04T09:20:14.6759738Z Running inductor/test_cooperative_reductions 1/1 ... [2025-12-04 09:20:14.675596][1912.348616556] 2025-12-04T09:20:14.6760309Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:20:14.6763997Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cooperative_reductions.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:20:14.676107] 2025-12-04T09:20:18.5264069Z 2025-12-04T09:20:18.5265086Z 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_c3acd5a4fbbc77bf_.log 2025-12-04T09:20:18.5265932Z Running 0 items in this shard: 2025-12-04T09:20:18.5266138Z 2025-12-04T09:20:18.5266437Z Finished inductor/test_flex_flash 1/1 ... [2025-12-04 09:20:18.526360][1916.199383025], took 0.12min 2025-12-04T09:20:18.5395293Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_flash/inductor.test_flex_flash-79911a8536f8a47c.xml 2025-12-04T09:20:20.3974499Z Running inductor/test_control_deps 1/1 ... [2025-12-04 09:20:20.397078][1918.070100749] 2025-12-04T09:20:20.3975365Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:20:20.3978233Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_control_deps.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:20:20.397563] 2025-12-04T09:20:24.4674856Z Running inductor/test_profiler 1/1 ... [2025-12-04 09:20:24.467118][1922.140139971] 2025-12-04T09:20:24.4675384Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:20:24.4678730Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_profiler.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:20:24.467627] 2025-12-04T09:20:28.9912977Z 2025-12-04T09:20:28.9914451Z 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_8d22943f515c872e_.log 2025-12-04T09:20:28.9915293Z 2025-12-04T09:20:28.9915654Z Finished inductor/test_cooperative_reductions 1/1 ... [2025-12-04 09:20:28.991063][1926.664088504], took 0.24min 2025-12-04T09:20:34.9549495Z Running inductor/test_mix_order_reduction 1/1 ... [2025-12-04 09:20:34.954547][1932.627565274] 2025-12-04T09:20:34.9550064Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:20:34.9554396Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_mix_order_reduction.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:20:34.955163] 2025-12-04T09:20:34.9850777Z 2025-12-04T09:20:34.9851791Z inductor/test_control_deps 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_control_deps_1.1_0efdc1e9b6b02f18_.log 2025-12-04T09:20:34.9852589Z 2025-12-04T09:20:34.9852902Z Finished inductor/test_control_deps 1/1 ... [2025-12-04 09:20:34.984871][1932.657894008], took 0.24min 2025-12-04T09:20:39.0985867Z 2025-12-04T09:20:39.0986771Z inductor/test_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_profiler_1.1_16effd50ac85c8ff_.log 2025-12-04T09:20:39.0987486Z 2025-12-04T09:20:39.0987783Z Finished inductor/test_profiler 1/1 ... [2025-12-04 09:20:39.098374][1936.771399635], took 0.24min 2025-12-04T09:20:40.9524052Z Running inductor/test_fxir_backend 1/1 ... [2025-12-04 09:20:40.952013][1938.625031186] 2025-12-04T09:20:40.9524704Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:20:40.9528887Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_fxir_backend.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:20:40.952592] 2025-12-04T09:20:45.0520676Z Running nn/attention/test_fa4 1/1 ... [2025-12-04 09:20:45.051691][1942.724712746] 2025-12-04T09:20:45.0521195Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:20:45.0524498Z Executing ['/opt/conda/envs/py_3.10/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=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:20:45.052176] 2025-12-04T09:20:49.5226845Z 2025-12-04T09:20:49.5228154Z inductor/test_mix_order_reduction 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mix_order_reduction_1.1_2f82244e08818559_.log 2025-12-04T09:20:49.5229075Z 2025-12-04T09:20:49.5229422Z Finished inductor/test_mix_order_reduction 1/1 ... [2025-12-04 09:20:49.522440][1947.195465656], took 0.24min 2025-12-04T09:20:50.9068132Z 2025-12-04T09:20:50.9069206Z 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_16bda0c20d14532f_.log 2025-12-04T09:20:50.9070199Z Running 0 items in this shard: 2025-12-04T09:20:50.9070395Z 2025-12-04T09:20:50.9070693Z Finished nn/attention/test_fa4 1/1 ... [2025-12-04 09:20:50.906777][1948.579802109], took 0.10min 2025-12-04T09:20:50.9218850Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.attention.test_fa4/nn.attention.test_fa4-4b5b673d4143ba62.xml 2025-12-04T09:20:55.5422707Z Running test_cuda_sanitizer 1/1 ... [2025-12-04 09:20:55.541873][1953.214895314] 2025-12-04T09:20:55.5423224Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:20:55.5426352Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_sanitizer.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:20:55.542372] 2025-12-04T09:20:55.7080127Z 2025-12-04T09:20:55.7081215Z inductor/test_fxir_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fxir_backend_1.1_6b96115232858edb_.log 2025-12-04T09:20:55.7081954Z 2025-12-04T09:20:55.7082282Z Finished inductor/test_fxir_backend 1/1 ... [2025-12-04 09:20:55.707787][1953.380812982], took 0.25min 2025-12-04T09:20:56.8518573Z Running functorch/test_aotdispatch 8/13 ... [2025-12-04 09:20:56.851463][1954.524484082] 2025-12-04T09:20:56.8519167Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:20:56.8522555Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'not serial', '--shard-id=8', '--num-shards=13', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:20:56.852000] 2025-12-04T09:21:01.1551167Z 2025-12-04T09:21:01.1552589Z test_cuda_sanitizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_sanitizer_1.1_0f937e41187c775b_.log 2025-12-04T09:21:01.1553382Z Running 0 items in this shard: 2025-12-04T09:21:01.1553571Z 2025-12-04T09:21:01.1553844Z Finished test_cuda_sanitizer 1/1 ... [2025-12-04 09:21:01.155063][1958.828088977], took 0.09min 2025-12-04T09:21:01.1646369Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda_sanitizer/test_cuda_sanitizer-609540faef59adbf.xml 2025-12-04T09:21:01.6632585Z Running test_accelerator 1/1 ... [2025-12-04 09:21:01.662866][1959.335887773] 2025-12-04T09:21:01.6633091Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:21:01.6636419Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_accelerator.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=15', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:21:01.663380] 2025-12-04T09:21:06.9843215Z 2025-12-04T09:21:06.9844338Z functorch/test_aotdispatch 8/13 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_8.13_3c88be3c964b3820_.log 2025-12-04T09:21:06.9845209Z Running 0 items in this shard: 2025-12-04T09:21:06.9845399Z 2025-12-04T09:21:06.9845730Z Finished functorch/test_aotdispatch 8/13 ... [2025-12-04 09:21:06.984300][1964.657321779], took 0.17min 2025-12-04T09:21:07.0121166Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_aotdispatch/functorch.test_aotdispatch-2f53ae298767d58c.xml 2025-12-04T09:21:07.0656484Z 2025-12-04T09:21:07.0657559Z test_accelerator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_accelerator_1.1_78e1551a2cb4209d_.log 2025-12-04T09:21:07.0658202Z 2025-12-04T09:21:07.0658469Z Finished test_accelerator 1/1 ... [2025-12-04 09:21:07.065632][1964.738654641], took 0.09min 2025-12-04T09:21:08.0220029Z Running test batch 'tests to run' cost 898.95 seconds 2025-12-04T09:21:08.0235955Z Emitting td_test_failure_stats_v2 2025-12-04T09:21:08.0239539Z Writing 1 documents to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764840068_90e77a8ed0f211f08ca30242ac110002 2025-12-04T09:21:08.1345610Z Done! Finish writing document to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764840068_90e77a8ed0f211f08ca30242ac110002 2025-12-04T09:21:08.1346568Z test_ci_sanity_check_fail 1/1 failed! 2025-12-04T09:21:09.4034949Z 2025-12-04T09:21:09.4035394Z real 15m7.586s 2025-12-04T09:21:09.4035667Z user 17m34.173s 2025-12-04T09:21:09.4035932Z sys 4m55.264s 2025-12-04T09:21:09.4036161Z + assert_git_not_dirty 2025-12-04T09:21:09.4036483Z + [[ linux-jammy-py3.10-clang18-asan != *rocm* ]] 2025-12-04T09:21:09.4036881Z + [[ linux-jammy-py3.10-clang18-asan != *xla* ]] 2025-12-04T09:21:09.4041750Z ++ git status --porcelain 2025-12-04T09:21:09.4042172Z ++ grep -v '?? third_party' 2025-12-04T09:21:54.2417571Z ++ true 2025-12-04T09:21:54.2453690Z + git_status= 2025-12-04T09:21:54.2453948Z + [[ -n '' ]] 2025-12-04T09:21:54.2454199Z + test_aten 2025-12-04T09:21:54.2466700Z + echo 'Running ATen tests with pytorch lib' 2025-12-04T09:21:54.2467108Z Running ATen tests with pytorch lib 2025-12-04T09:21:54.2467407Z + [[ -n '' ]] 2025-12-04T09:21:54.2467670Z + echo 'Running test with the build folder' 2025-12-04T09:21:54.2468016Z Running test with the build folder 2025-12-04T09:21:54.2468336Z + TEST_BASE_DIR=build/bin 2025-12-04T09:21:54.2473891Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so build/bin 2025-12-04T09:21:54.2554438Z + ln -sf '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libcaffe2*' build/bin 2025-12-04T09:21:54.2605617Z + ln -sf '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libmkldnn*' build/bin 2025-12-04T09:21:54.2654776Z + ln -sf '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libnccl*' build/bin 2025-12-04T09:21:54.2723324Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_python.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorchbind_test.so build/bin 2025-12-04T09:21:54.2768364Z + ls build/bin 2025-12-04T09:21:54.2849411Z BackoffTest cpu_generator_test 2025-12-04T09:21:54.2849903Z CMakeFiles cpu_profiling_allocator_test 2025-12-04T09:21:54.2850410Z CTestTestfile.cmake cpu_rng_test 2025-12-04T09:21:54.2850870Z CppSignature_test dlconvertor_test 2025-12-04T09:21:54.2851241Z Dict_test example_allreduce 2025-12-04T09:21:54.2851612Z Dimname_test extension_backend_test 2025-12-04T09:21:54.2851951Z FileStoreTest half_test 2025-12-04T09:21:54.2852269Z HashStoreTest inline_container_test 2025-12-04T09:21:54.2852613Z IListRef_test ivalue_test 2025-12-04T09:21:54.2852984Z KernelFunction_test kernel_function_legacy_test 2025-12-04T09:21:54.2853372Z List_test kernel_function_test 2025-12-04T09:21:54.2853736Z MaybeOwned_test kernel_lambda_legacy_test 2025-12-04T09:21:54.2854111Z NamedTensor_test kernel_lambda_test 2025-12-04T09:21:54.2855384Z ProcessGroupGlooTest kernel_stackbased_test 2025-12-04T09:21:54.2855798Z StorageUtils_test lazy_tensor_test 2025-12-04T09:21:54.2856142Z TCPStoreTest legacy_vmap_test 2025-12-04T09:21:54.2856558Z apply_utils_test libc10.so 2025-12-04T09:21:54.2856864Z atest 'libcaffe2*' 2025-12-04T09:21:54.2857164Z backend_fallback_test 'libmkldnn*' 2025-12-04T09:21:54.2857486Z basic 'libnccl*' 2025-12-04T09:21:54.2857751Z broadcast_test libtorch.so 2025-12-04T09:21:54.2858095Z c10_AllocatorConfig_test libtorch_cpu.so 2025-12-04T09:21:54.2858482Z c10_ArrayRef_test libtorch_global_deps.so 2025-12-04T09:21:54.2858837Z c10_Bitset_test libtorch_python.so 2025-12-04T09:21:54.2859251Z c10_CompileTimeFunctionPointer_test libtorchbind_test.so 2025-12-04T09:21:54.2859757Z c10_ConstexprCrc_test make_boxed_from_unboxed_functor_test 2025-12-04T09:21:54.2860211Z c10_DeadlockDetection_test math_kernel_test 2025-12-04T09:21:54.2860603Z c10_DeviceGuard_test memory_format_test 2025-12-04T09:21:54.2860972Z c10_Device_test memory_overlapping_test 2025-12-04T09:21:54.2861422Z c10_DispatchKeySet_test mobile_memory_cleanup 2025-12-04T09:21:54.2861881Z c10_Enumerate_test native_test 2025-12-04T09:21:54.2862212Z c10_Half_test op_allowlist_test 2025-12-04T09:21:54.2862596Z c10_InlineDeviceGuard_test op_registration_test 2025-12-04T09:21:54.2863010Z c10_InlineStreamGuard_test operator_name_test 2025-12-04T09:21:54.2863481Z c10_IntrusiveList_test operators_test 2025-12-04T09:21:54.2863880Z c10_LeftRight_test packedtensoraccessor_test 2025-12-04T09:21:54.2864267Z c10_NetworkFlow_test parallel_benchmark 2025-12-04T09:21:54.2864614Z c10_Scalar_test pow_test 2025-12-04T09:21:54.2864918Z c10_Semaphore_test protoc 2025-12-04T09:21:54.2865254Z c10_SizesAndStrides_test protoc-3.13.0.0 2025-12-04T09:21:54.2865608Z c10_StreamGuard_test quantized_test 2025-12-04T09:21:54.2865956Z c10_SymInt_test reduce_ops_test 2025-12-04T09:21:54.2866328Z c10_Synchronized_test reportMemoryUsage_test 2025-12-04T09:21:54.2866713Z c10_ThreadLocal_test scalar_tensor_test 2025-12-04T09:21:54.2867060Z c10_TypeIndex_test scalar_test 2025-12-04T09:21:54.2867406Z c10_accumulate_test static_runtime_bench 2025-12-04T09:21:54.2867761Z c10_bfloat16_test static_runtime_test 2025-12-04T09:21:54.2868124Z c10_bit_cast_test stride_properties_test 2025-12-04T09:21:54.2868506Z c10_complex_math_test tensor_iterator_test 2025-12-04T09:21:54.2868865Z c10_complex_test test_aoti_abi_check 2025-12-04T09:21:54.2869194Z c10_cow_test test_api 2025-12-04T09:21:54.2869484Z c10_error_test test_cpp_rpc 2025-12-04T09:21:54.2870000Z c10_exception_test test_dist_autograd 2025-12-04T09:21:54.2870351Z c10_flags_test test_jit 2025-12-04T09:21:54.2870656Z c10_generic_math_test test_lazy 2025-12-04T09:21:54.2871016Z c10_intrusive_ptr_benchmark test_parallel 2025-12-04T09:21:54.2871390Z c10_intrusive_ptr_test test_vec_half_AVX2 2025-12-04T09:21:54.2871774Z c10_irange_test test_vec_half_AVX512 2025-12-04T09:21:54.2872125Z c10_lazy_test test_vec_half_DEFAULT 2025-12-04T09:21:54.2872468Z c10_logging_test thread_init_test 2025-12-04T09:21:54.2872790Z c10_nofatal_test torch_shm_manager 2025-12-04T09:21:54.2873121Z c10_optional_test type_ptr_test 2025-12-04T09:21:54.2873470Z c10_ordered_preserving_dict_test type_test 2025-12-04T09:21:54.2873830Z c10_registry_test undefined_tensor_test 2025-12-04T09:21:54.2874217Z c10_small_vector_test vec_test_all_types_AVX2 2025-12-04T09:21:54.2874609Z c10_ssize_test vec_test_all_types_AVX512 2025-12-04T09:21:54.2874998Z c10_string_util_test vec_test_all_types_DEFAULT 2025-12-04T09:21:54.2875404Z c10_string_view_test verify_api_visibility 2025-12-04T09:21:54.2875935Z c10_tempfile_test weakref_test 2025-12-04T09:21:54.2876253Z c10_typeid_test wrapdim_test 2025-12-04T09:21:54.2876593Z cmake_install.cmake xla_tensor_test 2025-12-04T09:21:54.2877020Z cpu_allocator_test 2025-12-04T09:21:54.2877283Z + aten/tools/run_tests.sh build/bin 2025-12-04T09:21:54.2932630Z + set -e 2025-12-04T09:21:54.2954076Z ++ dirname aten/tools/run_tests.sh 2025-12-04T09:21:54.3010330Z + VALGRIND_SUP=/var/lib/jenkins/workspace/aten/tools/valgrind.sup 2025-12-04T09:21:54.3010822Z + export CPP_TESTS_DIR=build/bin 2025-12-04T09:21:54.3011127Z + CPP_TESTS_DIR=build/bin 2025-12-04T09:21:54.3011445Z + VALGRIND=OFF 2025-12-04T09:21:54.3015431Z + 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 2025-12-04T09:22:01.4036402Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T09:22:01.4162884Z Found test times from artifacts 2025-12-04T09:22:01.4638361Z Found test times from artifacts 2025-12-04T09:22:01.4680038Z Running all tests 2025-12-04T09:22:01.4684885Z Running parallel tests on 3 processes 2025-12-04T09:22:01.4687070Z Name: tests to run (est. time: 0.0min) 2025-12-04T09:22:01.4687385Z Serial tests (0): 2025-12-04T09:22:01.4687648Z Parallel tests (19): 2025-12-04T09:22:01.4687907Z cpp/Dict_test 1/1 2025-12-04T09:22:01.4688163Z cpp/Dimname_test 1/1 2025-12-04T09:22:01.4688422Z cpp/NamedTensor_test 1/1 2025-12-04T09:22:01.4688708Z cpp/apply_utils_test 1/1 2025-12-04T09:22:01.4688983Z cpp/atest 1/1 2025-12-04T09:22:01.4689202Z cpp/basic 1/1 2025-12-04T09:22:01.4689439Z cpp/broadcast_test 1/1 2025-12-04T09:22:01.4689735Z cpp/cpu_generator_test 1/1 2025-12-04T09:22:01.4690010Z cpp/dlconvertor_test 1/1 2025-12-04T09:22:01.4690299Z cpp/extension_backend_test 1/1 2025-12-04T09:22:01.4690617Z cpp/lazy_tensor_test 1/1 2025-12-04T09:22:01.4690893Z cpp/legacy_vmap_test 1/1 2025-12-04T09:22:01.4691154Z cpp/native_test 1/1 2025-12-04T09:22:01.4691414Z cpp/operators_test 1/1 2025-12-04T09:22:01.4691688Z cpp/scalar_tensor_test 1/1 2025-12-04T09:22:01.4691960Z cpp/scalar_test 1/1 2025-12-04T09:22:01.4692222Z cpp/tensor_iterator_test 1/1 2025-12-04T09:22:01.4692531Z cpp/undefined_tensor_test 1/1 2025-12-04T09:22:01.4692813Z cpp/wrapdim_test 1/1 2025-12-04T09:22:01.4693086Z Name: excluded (est. time: 0.0min) 2025-12-04T09:22:01.4693378Z Serial tests (0): 2025-12-04T09:22:01.4693608Z Parallel tests (0): 2025-12-04T09:22:01.4694016Z Running cpp/Dict_test 1/1 ... [2025-12-04 09:22:01.469180][2019.14220738] 2025-12-04T09:22:01.4694450Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:01.4694876Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:22:01.4695413Z Finished cpp/Dict_test 1/1 ... [2025-12-04 09:22:01.469380][2019.142409685], took 0.00min 2025-12-04T09:22:01.8518518Z Uploading artifacts took 0.37 seconds 2025-12-04T09:22:01.8519074Z Running cpp/Dimname_test 1/1 ... [2025-12-04 09:22:01.851730][2019.524752644] 2025-12-04T09:22:01.8519624Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:01.8520239Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:22:01.8520828Z Finished cpp/Dimname_test 1/1 ... [2025-12-04 09:22:01.851930][2019.524959555], took 0.00min 2025-12-04T09:22:01.8612098Z Running cpp/NamedTensor_test 1/1 ... [2025-12-04 09:22:01.861053][2019.534080621] 2025-12-04T09:22:01.8612625Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:01.8613511Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:22:01.8614304Z Finished cpp/NamedTensor_test 1/1 ... [2025-12-04 09:22:01.861242][2019.534272071], took 0.00min 2025-12-04T09:22:01.8702484Z Running cpp/apply_utils_test 1/1 ... [2025-12-04 09:22:01.870094][2019.543122827] 2025-12-04T09:22:01.8703072Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:01.8703615Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:22:01.8704191Z Finished cpp/apply_utils_test 1/1 ... [2025-12-04 09:22:01.870267][2019.543295594], took 0.00min 2025-12-04T09:22:01.8812201Z Running cpp/atest 1/1 ... [2025-12-04 09:22:01.881064][2019.55409337] 2025-12-04T09:22:01.8812626Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:01.8813253Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:22:01.8813864Z Finished cpp/atest 1/1 ... [2025-12-04 09:22:01.881234][2019.554263049], took 0.00min 2025-12-04T09:22:01.8893322Z Running cpp/basic 1/1 ... [2025-12-04 09:22:01.889194][2019.562222881] 2025-12-04T09:22:01.8893772Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:01.8894602Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:22:01.8895141Z Finished cpp/basic 1/1 ... [2025-12-04 09:22:01.889361][2019.562390867], took 0.00min 2025-12-04T09:22:01.8975148Z Running cpp/broadcast_test 1/1 ... [2025-12-04 09:22:01.897357][2019.570385794] 2025-12-04T09:22:01.8975618Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:01.8976088Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:22:01.8976660Z Finished cpp/broadcast_test 1/1 ... [2025-12-04 09:22:01.897525][2019.57055434], took 0.00min 2025-12-04T09:22:01.9055572Z Running cpp/cpu_generator_test 1/1 ... [2025-12-04 09:22:01.905420][2019.578449855] 2025-12-04T09:22:01.9056058Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:01.9056759Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:22:01.9057428Z Finished cpp/cpu_generator_test 1/1 ... [2025-12-04 09:22:01.905589][2019.578619688], took 0.00min 2025-12-04T09:22:01.9140499Z Running cpp/dlconvertor_test 1/1 ... [2025-12-04 09:22:01.913887][2019.586916194] 2025-12-04T09:22:01.9141067Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:01.9141813Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:22:01.9142480Z Finished cpp/dlconvertor_test 1/1 ... [2025-12-04 09:22:01.914053][2019.587082661], took 0.00min 2025-12-04T09:22:01.9229095Z Running cpp/extension_backend_test 1/1 ... [2025-12-04 09:22:01.922744][2019.595772763] 2025-12-04T09:22:01.9229662Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:01.9230213Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:22:01.9230839Z Finished cpp/extension_backend_test 1/1 ... [2025-12-04 09:22:01.922910][2019.595939249], took 0.00min 2025-12-04T09:22:01.9317343Z Running cpp/lazy_tensor_test 1/1 ... [2025-12-04 09:22:01.931583][2019.604611996] 2025-12-04T09:22:01.9317816Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:01.9318385Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:22:01.9405879Z Finished cpp/lazy_tensor_test 1/1 ... [2025-12-04 09:22:01.931750][2019.60477955], took 0.00min 2025-12-04T09:22:01.9406557Z Running cpp/legacy_vmap_test 1/1 ... [2025-12-04 09:22:01.940441][2019.613470788] 2025-12-04T09:22:01.9407035Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:01.9407499Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:22:01.9408058Z Finished cpp/legacy_vmap_test 1/1 ... [2025-12-04 09:22:01.940609][2019.61363826], took 0.00min 2025-12-04T09:22:01.9494604Z Running cpp/native_test 1/1 ... [2025-12-04 09:22:01.949303][2019.622331775] 2025-12-04T09:22:01.9495111Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:01.9495670Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:22:01.9496222Z Finished cpp/native_test 1/1 ... [2025-12-04 09:22:01.949468][2019.622497413], took 0.00min 2025-12-04T09:22:01.9598728Z Running cpp/operators_test 1/1 ... [2025-12-04 09:22:01.959709][2019.632737716] 2025-12-04T09:22:01.9599305Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:01.9600106Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:22:01.9600677Z Finished cpp/operators_test 1/1 ... [2025-12-04 09:22:01.959875][2019.632904241], took 0.00min 2025-12-04T09:22:01.9679211Z Running cpp/scalar_tensor_test 1/1 ... [2025-12-04 09:22:01.967767][2019.640795698] 2025-12-04T09:22:01.9679848Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:01.9680392Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:22:01.9681032Z Finished cpp/scalar_tensor_test 1/1 ... [2025-12-04 09:22:01.967932][2019.640961357], took 0.00min 2025-12-04T09:22:01.9759489Z Running cpp/scalar_test 1/1 ... [2025-12-04 09:22:01.975794][2019.648823752] 2025-12-04T09:22:01.9759970Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:01.9760531Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:22:01.9761082Z Finished cpp/scalar_test 1/1 ... [2025-12-04 09:22:01.975964][2019.648992974], took 0.00min 2025-12-04T09:22:01.9840545Z Running cpp/tensor_iterator_test 1/1 ... [2025-12-04 09:22:01.983899][2019.656928205] 2025-12-04T09:22:01.9841062Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:01.9841798Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:22:01.9842408Z Finished cpp/tensor_iterator_test 1/1 ... [2025-12-04 09:22:01.984066][2019.657095425], took 0.00min 2025-12-04T09:22:01.9922532Z Running cpp/undefined_tensor_test 1/1 ... [2025-12-04 09:22:01.992106][2019.665135673] 2025-12-04T09:22:01.9923049Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:01.9923769Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:22:01.9924382Z Finished cpp/undefined_tensor_test 1/1 ... [2025-12-04 09:22:01.992276][2019.665306319], took 0.00min 2025-12-04T09:22:02.0003803Z Running cpp/wrapdim_test 1/1 ... [2025-12-04 09:22:02.000233][2019.6732616] 2025-12-04T09:22:02.0004324Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:02.0005087Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:22:02.0005708Z Finished cpp/wrapdim_test 1/1 ... [2025-12-04 09:22:02.000402][2019.673430856], took 0.00min 2025-12-04T09:22:06.9356573Z Running cpp/Dict_test 1/1 ... [2025-12-04 09:22:06.935280][2024.6083025] 2025-12-04T09:22:06.9357062Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:06.9357484Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:22:06.9358029Z Finished cpp/Dict_test 1/1 ... [2025-12-04 09:22:06.935521][2024.608549937], took 0.00min 2025-12-04T09:22:06.9612050Z Running cpp/Dimname_test 1/1 ... [2025-12-04 09:22:06.960894][2024.63391697] 2025-12-04T09:22:06.9612628Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:06.9613192Z Running cpp/NamedTensor_test 1/1 ... [2025-12-04 09:22:06.961005][2024.634027631] 2025-12-04T09:22:06.9613703Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:06.9614112Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:22:06.9614713Z Finished cpp/Dimname_test 1/1 ... [2025-12-04 09:22:06.961127][2024.634156393], took 0.00min 2025-12-04T09:22:06.9615271Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:22:06.9615870Z Finished cpp/NamedTensor_test 1/1 ... [2025-12-04 09:22:06.961233][2024.634262597], took 0.00min 2025-12-04T09:22:12.8342589Z Running cpp/apply_utils_test 1/1 ... [2025-12-04 09:22:12.833853][2030.506876452] 2025-12-04T09:22:12.8343103Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:12.8343590Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:22:12.8344181Z Finished cpp/apply_utils_test 1/1 ... [2025-12-04 09:22:12.834139][2030.507165451], took 0.00min 2025-12-04T09:22:12.8353703Z Running cpp/atest 1/1 ... [2025-12-04 09:22:12.835156][2030.508179252] 2025-12-04T09:22:12.8354150Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:12.8354690Z Running cpp/basic 1/1 ... [2025-12-04 09:22:12.835231][2030.508254764] 2025-12-04T09:22:12.8355123Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:12.8356031Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:22:12.8356574Z Finished cpp/atest 1/1 ... [2025-12-04 09:22:12.835379][2030.508406662], took 0.00min 2025-12-04T09:22:12.8357243Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:22:12.8357776Z Finished cpp/basic 1/1 ... [2025-12-04 09:22:12.835472][2030.508501637], took 0.00min 2025-12-04T09:22:18.6505806Z Running cpp/broadcast_test 1/1 ... [2025-12-04 09:22:18.650160][2036.323182878] 2025-12-04T09:22:18.6506337Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:18.6506738Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:22:18.6507322Z Finished cpp/broadcast_test 1/1 ... [2025-12-04 09:22:18.650396][2036.323425665], took 0.00min 2025-12-04T09:22:18.6516877Z Running cpp/cpu_generator_test 1/1 ... [2025-12-04 09:22:18.651516][2036.324538956] 2025-12-04T09:22:18.6517399Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:18.6518614Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:22:18.6519277Z Finished cpp/cpu_generator_test 1/1 ... [2025-12-04 09:22:18.651737][2036.324767191], took 0.00min 2025-12-04T09:22:18.7074403Z Running cpp/dlconvertor_test 1/1 ... [2025-12-04 09:22:18.707122][2036.380144395] 2025-12-04T09:22:18.7075069Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:18.7075478Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:22:18.7076220Z Finished cpp/dlconvertor_test 1/1 ... [2025-12-04 09:22:18.707361][2036.380389673], took 0.00min 2025-12-04T09:22:24.5190859Z Running cpp/extension_backend_test 1/1 ... [2025-12-04 09:22:24.518741][2042.191763465] 2025-12-04T09:22:24.5191528Z Running cpp/lazy_tensor_test 1/1 ... [2025-12-04 09:22:24.518763][2042.191786215] 2025-12-04T09:22:24.5192178Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:24.5192619Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:24.5193213Z Running cpp/legacy_vmap_test 1/1 ... [2025-12-04 09:22:24.518931][2042.191951783] 2025-12-04T09:22:24.5193780Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:22:24.5194203Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:24.5194623Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:22:24.5195227Z Finished cpp/extension_backend_test 1/1 ... [2025-12-04 09:22:24.518977][2042.192005878], took 0.00min 2025-12-04T09:22:24.5196024Z Finished cpp/lazy_tensor_test 1/1 ... [2025-12-04 09:22:24.519002][2042.192030278], took 0.00min 2025-12-04T09:22:24.5196628Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:22:24.5197215Z Finished cpp/legacy_vmap_test 1/1 ... [2025-12-04 09:22:24.519181][2042.192209757], took 0.00min 2025-12-04T09:22:30.3711728Z Running cpp/native_test 1/1 ... [2025-12-04 09:22:30.370777][2048.04379996] 2025-12-04T09:22:30.3712514Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:30.3712991Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:22:30.3713604Z Finished cpp/native_test 1/1 ... [2025-12-04 09:22:30.371003][2048.044033215], took 0.00min 2025-12-04T09:22:30.3718755Z Running cpp/operators_test 1/1 ... [2025-12-04 09:22:30.371094][2048.044113028] 2025-12-04T09:22:30.3719558Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:30.3720186Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:22:30.3720986Z Finished cpp/operators_test 1/1 ... [2025-12-04 09:22:30.371393][2048.044419097], took 0.00min 2025-12-04T09:22:30.3725735Z Running cpp/scalar_tensor_test 1/1 ... [2025-12-04 09:22:30.372362][2048.045385756] 2025-12-04T09:22:30.3726220Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:30.3726962Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:22:30.3727556Z Finished cpp/scalar_tensor_test 1/1 ... [2025-12-04 09:22:30.372591][2048.045619196], took 0.00min 2025-12-04T09:22:36.2395481Z Running cpp/scalar_test 1/1 ... [2025-12-04 09:22:36.239172][2053.912194886] 2025-12-04T09:22:36.2396344Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:36.2396748Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:22:36.2397323Z Finished cpp/scalar_test 1/1 ... [2025-12-04 09:22:36.239415][2053.912442426], took 0.00min 2025-12-04T09:22:36.2411897Z Running cpp/tensor_iterator_test 1/1 ... [2025-12-04 09:22:36.240990][2053.914010135] 2025-12-04T09:22:36.2412402Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:36.2414437Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:22:36.2415043Z Finished cpp/tensor_iterator_test 1/1 ... [2025-12-04 09:22:36.241325][2053.914352027], took 0.00min 2025-12-04T09:22:36.2419783Z Running cpp/undefined_tensor_test 1/1 ... [2025-12-04 09:22:36.241826][2053.91485065] 2025-12-04T09:22:36.2420268Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:36.2421730Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:22:36.2422352Z Finished cpp/undefined_tensor_test 1/1 ... [2025-12-04 09:22:36.242059][2053.91508705], took 0.00min 2025-12-04T09:22:42.1196949Z Running cpp/wrapdim_test 1/1 ... [2025-12-04 09:22:42.119281][2059.79230386] 2025-12-04T09:22:42.1197700Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:42.1198223Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:22:42.1198787Z Finished cpp/wrapdim_test 1/1 ... [2025-12-04 09:22:42.119523][2059.792551849], took 0.00min 2025-12-04T09:22:43.0658135Z Running test batch 'tests to run' cost 41.6 seconds 2025-12-04T09:22:43.9174328Z + run_if_exists tensor_interop_test 2025-12-04T09:22:43.9174729Z + local test_name=tensor_interop_test 2025-12-04T09:22:43.9175188Z + [[ -x build/bin/tensor_interop_test ]] 2025-12-04T09:22:43.9175670Z + echo 'Warning: tensor_interop_test does not exist.' 2025-12-04T09:22:43.9176258Z Warning: tensor_interop_test does not exist. 2025-12-04T09:22:43.9176666Z + run_if_exists cudnn_test 2025-12-04T09:22:43.9176973Z + local test_name=cudnn_test 2025-12-04T09:22:43.9177369Z + [[ -x build/bin/cudnn_test ]] 2025-12-04T09:22:43.9177721Z + echo 'Warning: cudnn_test does not exist.' 2025-12-04T09:22:43.9178122Z Warning: cudnn_test does not exist. 2025-12-04T09:22:43.9178467Z + run_if_exists cuda_generator_test 2025-12-04T09:22:43.9178926Z + local test_name=cuda_generator_test 2025-12-04T09:22:43.9179355Z + [[ -x build/bin/cuda_generator_test ]] 2025-12-04T09:22:43.9179864Z + echo 'Warning: cuda_generator_test does not exist.' 2025-12-04T09:22:43.9180302Z Warning: cuda_generator_test does not exist. 2025-12-04T09:22:43.9180751Z + run_if_exists apply_test 2025-12-04T09:22:43.9181028Z + local test_name=apply_test 2025-12-04T09:22:43.9181448Z + [[ -x build/bin/apply_test ]] 2025-12-04T09:22:43.9181845Z + echo 'Warning: apply_test does not exist.' 2025-12-04T09:22:43.9182234Z Warning: apply_test does not exist. 2025-12-04T09:22:43.9182556Z + run_if_exists stream_test 2025-12-04T09:22:43.9182913Z + local test_name=stream_test 2025-12-04T09:22:43.9183317Z + [[ -x build/bin/stream_test ]] 2025-12-04T09:22:43.9183752Z + echo 'Warning: stream_test does not exist.' 2025-12-04T09:22:43.9184184Z Warning: stream_test does not exist. 2025-12-04T09:22:43.9184593Z + run_if_exists cuda_half_test 2025-12-04T09:22:43.9184960Z + local test_name=cuda_half_test 2025-12-04T09:22:43.9185350Z + [[ -x build/bin/cuda_half_test ]] 2025-12-04T09:22:43.9185699Z + echo 'Warning: cuda_half_test does not exist.' 2025-12-04T09:22:43.9186186Z Warning: cuda_half_test does not exist. 2025-12-04T09:22:43.9186521Z + run_if_exists cuda_vectorized_test 2025-12-04T09:22:43.9186845Z + local test_name=cuda_vectorized_test 2025-12-04T09:22:43.9187301Z + [[ -x build/bin/cuda_vectorized_test ]] 2025-12-04T09:22:43.9187756Z + echo 'Warning: cuda_vectorized_test does not exist.' 2025-12-04T09:22:43.9188280Z Warning: cuda_vectorized_test does not exist. 2025-12-04T09:22:43.9188663Z + run_if_exists cuda_distributions_test 2025-12-04T09:22:43.9189057Z + local test_name=cuda_distributions_test 2025-12-04T09:22:43.9189504Z + [[ -x build/bin/cuda_distributions_test ]] 2025-12-04T09:22:43.9190347Z + echo 'Warning: cuda_distributions_test does not exist.' 2025-12-04T09:22:43.9190919Z Warning: cuda_distributions_test does not exist. 2025-12-04T09:22:43.9191506Z + run_if_exists cuda_optional_test 2025-12-04T09:22:43.9191963Z + local test_name=cuda_optional_test 2025-12-04T09:22:43.9192387Z + [[ -x build/bin/cuda_optional_test ]] 2025-12-04T09:22:43.9192869Z + echo 'Warning: cuda_optional_test does not exist.' 2025-12-04T09:22:43.9193329Z Warning: cuda_optional_test does not exist. 2025-12-04T09:22:43.9193680Z + run_if_exists cuda_tensor_interop_test 2025-12-04T09:22:43.9194099Z + local test_name=cuda_tensor_interop_test 2025-12-04T09:22:43.9194463Z + [[ -x build/bin/cuda_tensor_interop_test ]] 2025-12-04T09:22:43.9194855Z + echo 'Warning: cuda_tensor_interop_test does not exist.' 2025-12-04T09:22:43.9195261Z Warning: cuda_tensor_interop_test does not exist. 2025-12-04T09:22:43.9195618Z + run_if_exists cuda_complex_test 2025-12-04T09:22:43.9195929Z + local test_name=cuda_complex_test 2025-12-04T09:22:43.9196241Z + [[ -x build/bin/cuda_complex_test ]] 2025-12-04T09:22:43.9196594Z + echo 'Warning: cuda_complex_test does not exist.' 2025-12-04T09:22:43.9196973Z Warning: cuda_complex_test does not exist. 2025-12-04T09:22:43.9197312Z + run_if_exists cuda_complex_math_test 2025-12-04T09:22:43.9197626Z + local test_name=cuda_complex_math_test 2025-12-04T09:22:43.9197961Z + [[ -x build/bin/cuda_complex_math_test ]] 2025-12-04T09:22:43.9198347Z + echo 'Warning: cuda_complex_math_test does not exist.' 2025-12-04T09:22:43.9198741Z Warning: cuda_complex_math_test does not exist. 2025-12-04T09:22:43.9199094Z + run_if_exists cuda_cub_test 2025-12-04T09:22:43.9199386Z + local test_name=cuda_cub_test 2025-12-04T09:22:43.9199668Z + [[ -x build/bin/cuda_cub_test ]] 2025-12-04T09:22:43.9200002Z + echo 'Warning: cuda_cub_test does not exist.' 2025-12-04T09:22:43.9200359Z Warning: cuda_cub_test does not exist. 2025-12-04T09:22:43.9200685Z + run_if_exists cuda_atomic_ops_test 2025-12-04T09:22:43.9200998Z + local test_name=cuda_atomic_ops_test 2025-12-04T09:22:43.9201330Z + [[ -x build/bin/cuda_atomic_ops_test ]] 2025-12-04T09:22:43.9201706Z + echo 'Warning: cuda_atomic_ops_test does not exist.' 2025-12-04T09:22:43.9202098Z Warning: cuda_atomic_ops_test does not exist. 2025-12-04T09:22:43.9202447Z + run_if_exists cuda_allocator_test 2025-12-04T09:22:43.9202759Z + local test_name=cuda_allocator_test 2025-12-04T09:22:43.9203068Z + [[ -x build/bin/cuda_allocator_test ]] 2025-12-04T09:22:43.9203432Z + echo 'Warning: cuda_allocator_test does not exist.' 2025-12-04T09:22:43.9203823Z Warning: cuda_allocator_test does not exist. 2025-12-04T09:22:43.9204139Z + '[' OFF == ON ']' 2025-12-04T09:22:43.9206210Z + [[ -n '' ]] 2025-12-04T09:22:43.9206443Z + assert_git_not_dirty 2025-12-04T09:22:43.9206742Z + [[ linux-jammy-py3.10-clang18-asan != *rocm* ]] 2025-12-04T09:22:43.9207115Z + [[ linux-jammy-py3.10-clang18-asan != *xla* ]] 2025-12-04T09:22:43.9213099Z ++ git status --porcelain 2025-12-04T09:22:43.9214017Z ++ grep -v '?? third_party' 2025-12-04T09:22:44.7086877Z ++ true 2025-12-04T09:22:44.7088178Z + git_status= 2025-12-04T09:22:44.7088404Z + [[ -n '' ]] 2025-12-04T09:22:44.7088706Z + test_libtorch 1 2025-12-04T09:22:44.7104218Z + local SHARD=1 2025-12-04T09:22:44.7104464Z + [[ default != \s\l\o\w ]] 2025-12-04T09:22:44.7104837Z + echo 'Testing libtorch' 2025-12-04T09:22:44.7105098Z Testing libtorch 2025-12-04T09:22:44.7105878Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libbackend_with_compiler.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-12-04T09:22:44.7158735Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libjitbackend_test.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-12-04T09:22:44.7210853Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libcaffe2_nvrtc.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-12-04T09:22:44.7262483Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-12-04T09:22:44.7312490Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libshm /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libshm.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libshm_windows /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-12-04T09:22:44.7362394Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_python.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorchbind_test.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-12-04T09:22:44.7413041Z + ln -sf '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libnvfuser*' /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-12-04T09:22:44.7461280Z + export CPP_TESTS_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-12-04T09:22:44.7461967Z + CPP_TESTS_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-12-04T09:22:44.7462424Z + [[ -z 1 ]] 2025-12-04T09:22:44.7462639Z + [[ 1 == \1 ]] 2025-12-04T09:22:44.7462852Z + test_libtorch_api 2025-12-04T09:22:44.7466762Z + MNIST_DIR=/var/lib/jenkins/workspace/test/cpp/api/mnist 2025-12-04T09:22:44.7467397Z + python tools/download_mnist.py --quiet -d /var/lib/jenkins/workspace/test/cpp/api/mnist 2025-12-04T09:22:44.8076149Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/train-images-idx3-ubyte.gz ... 2025-12-04T09:22:45.2455998Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/train-labels-idx1-ubyte.gz ... 2025-12-04T09:22:45.2921648Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/t10k-images-idx3-ubyte.gz ... 2025-12-04T09:22:45.4117021Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/t10k-labels-idx1-ubyte.gz ... 2025-12-04T09:22:45.5031928Z + [[ linux-jammy-py3.10-clang18-asan == *asan* ]] 2025-12-04T09:22:45.5032453Z + TEST_REPORTS_DIR=test/test-reports/cpp-unittest/test_libtorch 2025-12-04T09:22:45.5032939Z + mkdir -p test/test-reports/cpp-unittest/test_libtorch 2025-12-04T09:22:45.5108358Z + OMP_NUM_THREADS=2 2025-12-04T09:22:45.5108816Z + TORCH_CPP_TEST_MNIST_PATH=/var/lib/jenkins/workspace/test/cpp/api/mnist 2025-12-04T09:22:45.5109894Z + /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin/test_api '--gtest_filter=-IMethodTest.*' --gtest_output=xml:test/test-reports/cpp-unittest/test_libtorch/test_api.xml 2025-12-04T09:22:46.7744140Z CUDA not available. Disabling CUDA and MultiCUDA tests 2025-12-04T09:22:46.7753419Z Note: Google Test filter = -IMethodTest.*:*_CUDA:*_MultiCUDA 2025-12-04T09:22:46.7753938Z [==========] Running 1010 tests from 51 test suites. 2025-12-04T09:22:46.7754288Z [----------] Global test environment set-up. 2025-12-04T09:22:46.7754676Z [----------] 11 tests from AutogradAPITests 2025-12-04T09:22:46.7755157Z [ RUN ] AutogradAPITests.RegisterHookVoidReturnAcceptsUndefinedTensor 2025-12-04T09:22:46.7779488Z [ OK ] AutogradAPITests.RegisterHookVoidReturnAcceptsUndefinedTensor (2 ms) 2025-12-04T09:22:46.7780243Z [ RUN ] AutogradAPITests.RegisterHookTensorReturnAcceptsUndefinedTensor 2025-12-04T09:22:46.7782410Z [ OK ] AutogradAPITests.RegisterHookTensorReturnAcceptsUndefinedTensor (0 ms) 2025-12-04T09:22:46.7783054Z [ RUN ] AutogradAPITests.BackwardSimpleTest 2025-12-04T09:22:46.7809073Z [ OK ] AutogradAPITests.BackwardSimpleTest (2 ms) 2025-12-04T09:22:46.7809567Z [ RUN ] AutogradAPITests.BackwardTest 2025-12-04T09:22:46.7813585Z [W1204 09:22:46.454091484 engine.cpp:1306] Warning: Using backward() with create_graph=True will create a reference cycle between the parameter and its gradient which can cause a memory leak. We recommend using autograd.grad when creating the graph to avoid this. If you have to use this function, make sure to reset the .grad fields of your parameters to None after use to break the cycle and avoid the leak. (function operator()) 2025-12-04T09:22:46.7826172Z [ OK ] AutogradAPITests.BackwardTest (1 ms) 2025-12-04T09:22:46.7826630Z [ RUN ] AutogradAPITests.GradSimpleTest 2025-12-04T09:22:46.7837348Z [ OK ] AutogradAPITests.GradSimpleTest (1 ms) 2025-12-04T09:22:46.7837805Z [ RUN ] AutogradAPITests.GradTest 2025-12-04T09:22:46.7857026Z [ OK ] AutogradAPITests.GradTest (1 ms) 2025-12-04T09:22:46.7857444Z [ RUN ] AutogradAPITests.GradNonLeafTest 2025-12-04T09:22:46.7871519Z [W1204 09:22:46.459864175 TensorBody.h:497] Warning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (function grad) 2025-12-04T09:22:46.7877388Z [W1204 09:22:46.460483102 TensorBody.h:497] Warning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (function grad) 2025-12-04T09:22:46.7883113Z [W1204 09:22:46.461060981 TensorBody.h:497] Warning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (function grad) 2025-12-04T09:22:46.7888824Z [W1204 09:22:46.461628082 TensorBody.h:497] Warning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. (function grad) 2025-12-04T09:22:46.7898112Z [ OK ] AutogradAPITests.GradNonLeafTest (4 ms) 2025-12-04T09:22:46.7898604Z [ RUN ] AutogradAPITests.GradUnreachableTest 2025-12-04T09:22:46.7925048Z [ OK ] AutogradAPITests.GradUnreachableTest (2 ms) 2025-12-04T09:22:46.7925524Z [ RUN ] AutogradAPITests.EmptyInput 2025-12-04T09:22:46.7927333Z [ OK ] AutogradAPITests.EmptyInput (0 ms) 2025-12-04T09:22:46.7927730Z [ RUN ] AutogradAPITests.RetainGrad 2025-12-04T09:22:46.7945016Z [ OK ] AutogradAPITests.RetainGrad (1 ms) 2025-12-04T09:22:46.7945499Z [ RUN ] AutogradAPITests.AnomalyMode 2025-12-04T09:22:46.7946365Z [W1204 09:22:46.467432943 anomaly_mode.cpp:26] Warning: This mode should be enabled only for debugging as the different tests will slow down your program execution. (function operator()) 2025-12-04T09:22:47.1095368Z [ OK ] AutogradAPITests.AnomalyMode (314 ms) 2025-12-04T09:22:47.1096066Z [----------] 11 tests from AutogradAPITests (333 ms total) 2025-12-04T09:22:47.1096479Z 2025-12-04T09:22:47.1096676Z [----------] 34 tests from CustomAutogradTest 2025-12-04T09:22:47.1097322Z [ RUN ] CustomAutogradTest.GradUnreachableDiscoveryTest 2025-12-04T09:22:47.1099036Z [ OK ] CustomAutogradTest.GradUnreachableDiscoveryTest (0 ms) 2025-12-04T09:22:47.1099947Z [ RUN ] CustomAutogradTest.CustomFunctionReturnInputAsIsAndSavesIt 2025-12-04T09:22:47.1101409Z [ OK ] CustomAutogradTest.CustomFunctionReturnInputAsIsAndSavesIt (0 ms) 2025-12-04T09:22:47.1101968Z [ RUN ] CustomAutogradTest.CustomFunction 2025-12-04T09:22:47.1114941Z [ OK ] CustomAutogradTest.CustomFunction (1 ms) 2025-12-04T09:22:47.1115501Z [ RUN ] CustomAutogradTest.CustomFunctionWithTensorList 2025-12-04T09:22:47.1126169Z [ OK ] CustomAutogradTest.CustomFunctionWithTensorList (1 ms) 2025-12-04T09:22:47.1126710Z [ RUN ] CustomAutogradTest.GraphTaskTrimEdges 2025-12-04T09:22:47.1146857Z [ OK ] CustomAutogradTest.GraphTaskTrimEdges (2 ms) 2025-12-04T09:22:47.1147370Z [ RUN ] CustomAutogradTest.FunctionReturnsInput 2025-12-04T09:22:47.1157535Z [ OK ] CustomAutogradTest.FunctionReturnsInput (1 ms) 2025-12-04T09:22:47.1158074Z [ RUN ] CustomAutogradTest.FunctionReturnsUndefined 2025-12-04T09:22:47.1166172Z [ OK ] CustomAutogradTest.FunctionReturnsUndefined (0 ms) 2025-12-04T09:22:47.1166719Z [ RUN ] CustomAutogradTest.MaterializeGrads 2025-12-04T09:22:47.1172428Z [ OK ] CustomAutogradTest.MaterializeGrads (0 ms) 2025-12-04T09:22:47.1172887Z [ RUN ] CustomAutogradTest.DontMaterializeGrads 2025-12-04T09:22:47.1175397Z [ OK ] CustomAutogradTest.DontMaterializeGrads (0 ms) 2025-12-04T09:22:47.1175880Z [ RUN ] CustomAutogradTest.NoGradCustomFunction 2025-12-04T09:22:47.1177023Z [ OK ] CustomAutogradTest.NoGradCustomFunction (0 ms) 2025-12-04T09:22:47.1177470Z [ RUN ] CustomAutogradTest.MarkDirty 2025-12-04T09:22:47.1181022Z [ OK ] CustomAutogradTest.MarkDirty (0 ms) 2025-12-04T09:22:47.1181462Z [ RUN ] CustomAutogradTest.MarkNonDifferentiable 2025-12-04T09:22:47.1186774Z [ OK ] CustomAutogradTest.MarkNonDifferentiable (0 ms) 2025-12-04T09:22:47.1187299Z [ RUN ] CustomAutogradTest.MarkNonDifferentiableMixed 2025-12-04T09:22:47.1198804Z [ OK ] CustomAutogradTest.MarkNonDifferentiableMixed (1 ms) 2025-12-04T09:22:47.1199364Z [ RUN ] CustomAutogradTest.MarkNonDifferentiableNone 2025-12-04T09:22:47.1202554Z [ OK ] CustomAutogradTest.MarkNonDifferentiableNone (0 ms) 2025-12-04T09:22:47.1203059Z [ RUN ] CustomAutogradTest.ReturnLeafInplace 2025-12-04T09:22:47.1210429Z [ OK ] CustomAutogradTest.ReturnLeafInplace (0 ms) 2025-12-04T09:22:47.1210932Z [ RUN ] CustomAutogradTest.ReturnDuplicateInplace 2025-12-04T09:22:47.1215137Z [ OK ] CustomAutogradTest.ReturnDuplicateInplace (0 ms) 2025-12-04T09:22:47.1215618Z [ RUN ] CustomAutogradTest.ReturnDuplicate 2025-12-04T09:22:47.1216616Z [ OK ] CustomAutogradTest.ReturnDuplicate (0 ms) 2025-12-04T09:22:47.1217022Z [ RUN ] CustomAutogradTest.SaveEmptyForBackward 2025-12-04T09:22:47.1224041Z [ OK ] CustomAutogradTest.SaveEmptyForBackward (0 ms) 2025-12-04T09:22:47.1224526Z [ RUN ] CustomAutogradTest.InvalidGradients 2025-12-04T09:22:47.1238386Z [ OK ] CustomAutogradTest.InvalidGradients (1 ms) 2025-12-04T09:22:47.1238887Z [ RUN ] CustomAutogradTest.NoGradInput 2025-12-04T09:22:47.1239278Z [ OK ] CustomAutogradTest.NoGradInput (0 ms) 2025-12-04T09:22:47.1239710Z [ RUN ] CustomAutogradTest.TooManyGrads 2025-12-04T09:22:47.1240077Z [ OK ] CustomAutogradTest.TooManyGrads (0 ms) 2025-12-04T09:22:47.1240452Z [ RUN ] CustomAutogradTest.DepNoGrad 2025-12-04T09:22:47.1246574Z [ OK ] CustomAutogradTest.DepNoGrad (0 ms) 2025-12-04T09:22:47.1246957Z [ RUN ] CustomAutogradTest.Reentrant 2025-12-04T09:22:47.1255036Z [ OK ] CustomAutogradTest.Reentrant (0 ms) 2025-12-04T09:22:47.1255503Z [ RUN ] CustomAutogradTest.DeepReentrant 2025-12-04T09:22:49.7600015Z [ OK ] CustomAutogradTest.DeepReentrant (2634 ms) 2025-12-04T09:22:49.7600481Z [ RUN ] CustomAutogradTest.ReentrantPriority 2025-12-04T09:22:49.7626928Z [ OK ] CustomAutogradTest.ReentrantPriority (2 ms) 2025-12-04T09:22:49.7627404Z [ RUN ] CustomAutogradTest.Hooks 2025-12-04T09:22:49.7657106Z [ OK ] CustomAutogradTest.Hooks (3 ms) 2025-12-04T09:22:49.7657839Z [ RUN ] CustomAutogradTest.HooksInplace 2025-12-04T09:22:49.7666893Z [ OK ] CustomAutogradTest.HooksInplace (0 ms) 2025-12-04T09:22:49.7667421Z [ RUN ] CustomAutogradTest.HooksInplaceWithRetainsGrad 2025-12-04T09:22:49.7681647Z [ OK ] CustomAutogradTest.HooksInplaceWithRetainsGrad (1 ms) 2025-12-04T09:22:49.7682246Z [ RUN ] CustomAutogradTest.HooksInplaceTwiceWithRetainsGrad 2025-12-04T09:22:49.7696629Z [ OK ] CustomAutogradTest.HooksInplaceTwiceWithRetainsGrad (1 ms) 2025-12-04T09:22:49.7697181Z [ RUN ] CustomAutogradTest.HookNone 2025-12-04T09:22:49.7701917Z [ OK ] CustomAutogradTest.HookNone (0 ms) 2025-12-04T09:22:49.7702336Z [ RUN ] CustomAutogradTest.BackwardWithInputs 2025-12-04T09:22:49.7710821Z [ OK ] CustomAutogradTest.BackwardWithInputs (0 ms) 2025-12-04T09:22:49.7711364Z [ RUN ] CustomAutogradTest.BackwardWithEmptyInputs 2025-12-04T09:22:49.7715333Z [ OK ] CustomAutogradTest.BackwardWithEmptyInputs (0 ms) 2025-12-04T09:22:49.7715873Z [ RUN ] CustomAutogradTest.BackwardWithNonLeafInputs 2025-12-04T09:22:49.7725902Z [ OK ] CustomAutogradTest.BackwardWithNonLeafInputs (1 ms) 2025-12-04T09:22:49.7726497Z [ RUN ] CustomAutogradTest.BackwardWithCreateGraphWarns 2025-12-04T09:22:49.7730722Z [ OK ] CustomAutogradTest.BackwardWithCreateGraphWarns (0 ms) 2025-12-04T09:22:49.7731262Z [----------] 34 tests from CustomAutogradTest (2663 ms total) 2025-12-04T09:22:49.7731556Z 2025-12-04T09:22:49.7731725Z [----------] 12 tests from TestAutogradNotImplementedFallback 2025-12-04T09:22:49.7732228Z [ RUN ] TestAutogradNotImplementedFallback.RetSingleNonTensor 2025-12-04T09:22:49.7741691Z [ OK ] TestAutogradNotImplementedFallback.RetSingleNonTensor (1 ms) 2025-12-04T09:22:49.7742297Z [ RUN ] TestAutogradNotImplementedFallback.InplaceOp 2025-12-04T09:22:49.7763814Z [ OK ] TestAutogradNotImplementedFallback.InplaceOp (2 ms) 2025-12-04T09:22:49.7764415Z [ RUN ] TestAutogradNotImplementedFallback.DoubleInplaceOp 2025-12-04T09:22:49.7773575Z [ OK ] TestAutogradNotImplementedFallback.DoubleInplaceOp (0 ms) 2025-12-04T09:22:49.7774154Z [ RUN ] TestAutogradNotImplementedFallback.OptOp 2025-12-04T09:22:49.7792814Z [ OK ] TestAutogradNotImplementedFallback.OptOp (1 ms) 2025-12-04T09:22:49.7793499Z [ RUN ] TestAutogradNotImplementedFallback.OutOfPlaceAddition 2025-12-04T09:22:49.7794163Z [ OK ] TestAutogradNotImplementedFallback.OutOfPlaceAddition (0 ms) 2025-12-04T09:22:49.7794813Z [ RUN ] TestAutogradNotImplementedFallback.RetTupleNonTensor 2025-12-04T09:22:49.7803776Z [ OK ] TestAutogradNotImplementedFallback.RetTupleNonTensor (0 ms) 2025-12-04T09:22:49.7804357Z [ RUN ] TestAutogradNotImplementedFallback.ViewOp 2025-12-04T09:22:49.7811266Z [ OK ] TestAutogradNotImplementedFallback.ViewOp (0 ms) 2025-12-04T09:22:49.7811862Z [ RUN ] TestAutogradNotImplementedFallback.RetTensorVectorView 2025-12-04T09:22:49.7817360Z [ OK ] TestAutogradNotImplementedFallback.RetTensorVectorView (0 ms) 2025-12-04T09:22:49.7817994Z [ RUN ] TestAutogradNotImplementedFallback.DoubleViewOP 2025-12-04T09:22:49.7824092Z [ OK ] TestAutogradNotImplementedFallback.DoubleViewOP (0 ms) 2025-12-04T09:22:49.7824692Z [ RUN ] TestAutogradNotImplementedFallback.NonFirstViewOP 2025-12-04T09:22:49.7830428Z [ OK ] TestAutogradNotImplementedFallback.NonFirstViewOP (0 ms) 2025-12-04T09:22:49.7831034Z [ RUN ] TestAutogradNotImplementedFallback.RetTensorVector 2025-12-04T09:22:49.7839506Z [ OK ] TestAutogradNotImplementedFallback.RetTensorVector (0 ms) 2025-12-04T09:22:49.7840114Z [ RUN ] TestAutogradNotImplementedFallback.TensorlistOp 2025-12-04T09:22:49.7852106Z [ OK ] TestAutogradNotImplementedFallback.TensorlistOp (1 ms) 2025-12-04T09:22:49.7852727Z [----------] 12 tests from TestAutogradNotImplementedFallback (12 ms total) 2025-12-04T09:22:49.7853069Z 2025-12-04T09:22:49.7853204Z [----------] 2 tests from TestAutogradUtils 2025-12-04T09:22:49.7853826Z [ RUN ] TestAutogradUtils.ValidateOutputsReduce 2025-12-04T09:22:49.7856039Z [ OK ] TestAutogradUtils.ValidateOutputsReduce (0 ms) 2025-12-04T09:22:49.7857477Z [ RUN ] TestAutogradUtils.ValidateOutputsBasic 2025-12-04T09:22:49.7859137Z [ OK ] TestAutogradUtils.ValidateOutputsBasic (0 ms) 2025-12-04T09:22:49.7859620Z [----------] 2 tests from TestAutogradUtils (0 ms total) 2025-12-04T09:22:49.7859895Z 2025-12-04T09:22:49.7860011Z [----------] 18 tests from AnyModuleTest 2025-12-04T09:22:49.7860358Z [ RUN ] AnyModuleTest.SimpleReturnType 2025-12-04T09:22:49.7868648Z [ OK ] AnyModuleTest.SimpleReturnType (0 ms) 2025-12-04T09:22:49.7869170Z [ RUN ] AnyModuleTest.SimpleReturnTypeAndSingleArgument 2025-12-04T09:22:49.7869834Z [ OK ] AnyModuleTest.SimpleReturnTypeAndSingleArgument (0 ms) 2025-12-04T09:22:49.7870449Z [ RUN ] AnyModuleTest.StringLiteralReturnTypeAndArgument 2025-12-04T09:22:49.7870947Z [ OK ] AnyModuleTest.StringLiteralReturnTypeAndArgument (0 ms) 2025-12-04T09:22:49.7871536Z [ RUN ] AnyModuleTest.StringReturnTypeWithConstArgument 2025-12-04T09:22:49.7872032Z [ OK ] AnyModuleTest.StringReturnTypeWithConstArgument (0 ms) 2025-12-04T09:22:49.7872665Z [ RUN ] AnyModuleTest.TensorReturnTypeAndStringArgumentsWithFunkyQualifications 2025-12-04T09:22:49.7873442Z [ OK ] AnyModuleTest.TensorReturnTypeAndStringArgumentsWithFunkyQualifications (0 ms) 2025-12-04T09:22:49.7874039Z [ RUN ] AnyModuleTest.WrongArgumentType 2025-12-04T09:22:49.7876754Z [ OK ] AnyModuleTest.WrongArgumentType (0 ms) 2025-12-04T09:22:49.7877210Z [ RUN ] AnyModuleTest.WrongNumberOfArguments 2025-12-04T09:22:49.7878730Z [ OK ] AnyModuleTest.WrongNumberOfArguments (0 ms) 2025-12-04T09:22:49.7879401Z [ RUN ] AnyModuleTest.PassingArgumentsToModuleWithDefaultArgumentsInForwardMethod 2025-12-04T09:22:49.7882700Z [ OK ] AnyModuleTest.PassingArgumentsToModuleWithDefaultArgumentsInForwardMethod (0 ms) 2025-12-04T09:22:49.7883535Z [ RUN ] AnyModuleTest.GetWithCorrectTypeSucceeds 2025-12-04T09:22:49.7883978Z [ OK ] AnyModuleTest.GetWithCorrectTypeSucceeds (0 ms) 2025-12-04T09:22:49.7884483Z [ RUN ] AnyModuleTest.GetWithIncorrectTypeThrows 2025-12-04T09:22:49.7884932Z [ OK ] AnyModuleTest.GetWithIncorrectTypeThrows (0 ms) 2025-12-04T09:22:49.7885405Z [ RUN ] AnyModuleTest.PtrWithBaseClassSucceeds 2025-12-04T09:22:49.7885887Z [ OK ] AnyModuleTest.PtrWithBaseClassSucceeds (0 ms) 2025-12-04T09:22:49.7886336Z [ RUN ] AnyModuleTest.PtrWithGoodDowncastSuccceeds 2025-12-04T09:22:49.7886828Z [ OK ] AnyModuleTest.PtrWithGoodDowncastSuccceeds (0 ms) 2025-12-04T09:22:49.7887268Z [ RUN ] AnyModuleTest.PtrWithBadDowncastThrows 2025-12-04T09:22:49.7887690Z [ OK ] AnyModuleTest.PtrWithBadDowncastThrows (0 ms) 2025-12-04T09:22:49.7888098Z [ RUN ] AnyModuleTest.DefaultStateIsEmpty 2025-12-04T09:22:49.7888476Z [ OK ] AnyModuleTest.DefaultStateIsEmpty (0 ms) 2025-12-04T09:22:49.7888911Z [ RUN ] AnyModuleTest.AllMethodsThrowForEmptyAnyModule 2025-12-04T09:22:49.7889397Z [ OK ] AnyModuleTest.AllMethodsThrowForEmptyAnyModule (0 ms) 2025-12-04T09:22:49.7889864Z [ RUN ] AnyModuleTest.CanMoveAssignDifferentModules 2025-12-04T09:22:49.7890319Z [ OK ] AnyModuleTest.CanMoveAssignDifferentModules (0 ms) 2025-12-04T09:22:49.7890762Z [ RUN ] AnyModuleTest.ConstructsFromModuleHolder 2025-12-04T09:22:49.7948347Z [ OK ] AnyModuleTest.ConstructsFromModuleHolder (6 ms) 2025-12-04T09:22:49.7948925Z [ RUN ] AnyModuleTest.ConvertsVariableToTensorCorrectly 2025-12-04T09:22:49.7949582Z [ OK ] AnyModuleTest.ConvertsVariableToTensorCorrectly (0 ms) 2025-12-04T09:22:49.7950152Z [----------] 18 tests from AnyModuleTest (9 ms total) 2025-12-04T09:22:49.7950439Z 2025-12-04T09:22:49.7950614Z [----------] 12 tests from AnyValueTest 2025-12-04T09:22:49.7951217Z [ RUN ] AnyValueTest.CorrectlyAccessesIntWhenCorrectType 2025-12-04T09:22:49.7952106Z [ OK ] AnyValueTest.CorrectlyAccessesIntWhenCorrectType (0 ms) 2025-12-04T09:22:49.7952729Z [ RUN ] AnyValueTest.CorrectlyAccessesStringLiteralWhenCorrectType 2025-12-04T09:22:49.7953361Z [ OK ] AnyValueTest.CorrectlyAccessesStringLiteralWhenCorrectType (0 ms) 2025-12-04T09:22:49.7954055Z [ RUN ] AnyValueTest.CorrectlyAccessesStringWhenCorrectType 2025-12-04T09:22:49.7954597Z [ OK ] AnyValueTest.CorrectlyAccessesStringWhenCorrectType (0 ms) 2025-12-04T09:22:49.7955135Z [ RUN ] AnyValueTest.CorrectlyAccessesPointersWhenCorrectType 2025-12-04T09:22:49.7955713Z [ OK ] AnyValueTest.CorrectlyAccessesPointersWhenCorrectType (0 ms) 2025-12-04T09:22:49.7956286Z [ RUN ] AnyValueTest.CorrectlyAccessesReferencesWhenCorrectType 2025-12-04T09:22:49.7956862Z [ OK ] AnyValueTest.CorrectlyAccessesReferencesWhenCorrectType (0 ms) 2025-12-04T09:22:49.7957401Z [ RUN ] AnyValueTest.TryGetReturnsNullptrForTheWrongType 2025-12-04T09:22:49.7957907Z [ OK ] AnyValueTest.TryGetReturnsNullptrForTheWrongType (0 ms) 2025-12-04T09:22:49.7958374Z [ RUN ] AnyValueTest.GetThrowsForTheWrongType 2025-12-04T09:22:49.7958808Z [ OK ] AnyValueTest.GetThrowsForTheWrongType (0 ms) 2025-12-04T09:22:49.7959217Z [ RUN ] AnyValueTest.MoveConstructionIsAllowed 2025-12-04T09:22:49.7959637Z [ OK ] AnyValueTest.MoveConstructionIsAllowed (0 ms) 2025-12-04T09:22:49.7960050Z [ RUN ] AnyValueTest.MoveAssignmentIsAllowed 2025-12-04T09:22:49.7960441Z [ OK ] AnyValueTest.MoveAssignmentIsAllowed (0 ms) 2025-12-04T09:22:49.7960847Z [ RUN ] AnyValueTest.TypeInfoIsCorrectForInt 2025-12-04T09:22:49.7961375Z [ OK ] AnyValueTest.TypeInfoIsCorrectForInt (0 ms) 2025-12-04T09:22:49.7961809Z [ RUN ] AnyValueTest.TypeInfoIsCorrectForStringLiteral 2025-12-04T09:22:49.7962480Z [ OK ] AnyValueTest.TypeInfoIsCorrectForStringLiteral (0 ms) 2025-12-04T09:22:49.7962988Z [ RUN ] AnyValueTest.TypeInfoIsCorrectForString 2025-12-04T09:22:49.7963501Z [ OK ] AnyValueTest.TypeInfoIsCorrectForString (0 ms) 2025-12-04T09:22:49.7963973Z [----------] 12 tests from AnyValueTest (0 ms total) 2025-12-04T09:22:49.7964226Z 2025-12-04T09:22:49.7964327Z [----------] 50 tests from DataTest 2025-12-04T09:22:49.7964767Z [ RUN ] DataTest.DatasetCallsGetCorrectly 2025-12-04T09:22:49.7965189Z [ OK ] DataTest.DatasetCallsGetCorrectly (0 ms) 2025-12-04T09:22:49.7965602Z [ RUN ] DataTest.TransformCallsGetApplyCorrectly 2025-12-04T09:22:49.7966049Z [ OK ] DataTest.TransformCallsGetApplyCorrectly (0 ms) 2025-12-04T09:22:49.7966508Z [ RUN ] DataTest.ChunkDataSetWithInvalidInitParameter 2025-12-04T09:22:49.7966973Z [ OK ] DataTest.ChunkDataSetWithInvalidInitParameter (0 ms) 2025-12-04T09:22:49.7967412Z [ RUN ] DataTest.InfiniteStreamDataset 2025-12-04T09:22:49.7967785Z [ OK ] DataTest.InfiniteStreamDataset (0 ms) 2025-12-04T09:22:49.7968149Z [ RUN ] DataTest.NoSequencerIsIdentity 2025-12-04T09:22:49.7968523Z [ OK ] DataTest.NoSequencerIsIdentity (0 ms) 2025-12-04T09:22:49.7968916Z [ RUN ] DataTest.OrderedSequencerIsSetUpWell 2025-12-04T09:22:49.7969325Z [ OK ] DataTest.OrderedSequencerIsSetUpWell (0 ms) 2025-12-04T09:22:49.7969892Z [ RUN ] DataTest.OrderedSequencerReOrdersValues 2025-12-04T09:22:49.7970320Z [ OK ] DataTest.OrderedSequencerReOrdersValues (0 ms) 2025-12-04T09:22:49.7970762Z [ RUN ] DataTest.BatchLambdaAppliesFunctionToBatch 2025-12-04T09:22:49.7971201Z [ OK ] DataTest.BatchLambdaAppliesFunctionToBatch (0 ms) 2025-12-04T09:22:49.7971647Z [ RUN ] DataTest.LambdaAppliesFunctionToExample 2025-12-04T09:22:49.7972080Z [ OK ] DataTest.LambdaAppliesFunctionToExample (0 ms) 2025-12-04T09:22:49.7972473Z [ RUN ] DataTest.CollateReducesBatch 2025-12-04T09:22:49.7972836Z [ OK ] DataTest.CollateReducesBatch (0 ms) 2025-12-04T09:22:49.7973202Z [ RUN ] DataTest.CollationReducesBatch 2025-12-04T09:22:49.7973566Z [ OK ] DataTest.CollationReducesBatch (0 ms) 2025-12-04T09:22:49.7973979Z [ RUN ] DataTest.SequentialSamplerReturnsIndicesInOrder 2025-12-04T09:22:49.7974660Z [ OK ] DataTest.SequentialSamplerReturnsIndicesInOrder (0 ms) 2025-12-04T09:22:49.7975200Z [ RUN ] DataTest.SequentialSamplerReturnsLessValuesForLastBatch 2025-12-04T09:22:49.7975866Z [ OK ] DataTest.SequentialSamplerReturnsLessValuesForLastBatch (0 ms) 2025-12-04T09:22:49.7976379Z [ RUN ] DataTest.SequentialSamplerResetsWell 2025-12-04T09:22:49.7976791Z [ OK ] DataTest.SequentialSamplerResetsWell (0 ms) 2025-12-04T09:22:49.7977220Z [ RUN ] DataTest.SequentialSamplerResetsWithNewSizeWell 2025-12-04T09:22:49.7977714Z [ OK ] DataTest.SequentialSamplerResetsWithNewSizeWell (0 ms) 2025-12-04T09:22:49.7978186Z [ RUN ] DataTest.CanSaveAndLoadSequentialSampler 2025-12-04T09:22:49.8806532Z [ OK ] DataTest.CanSaveAndLoadSequentialSampler (83 ms) 2025-12-04T09:22:49.8807095Z [ RUN ] DataTest.RandomSamplerReturnsIndicesInCorrectRange 2025-12-04T09:22:49.8807755Z [ OK ] DataTest.RandomSamplerReturnsIndicesInCorrectRange (0 ms) 2025-12-04T09:22:49.8808420Z [ RUN ] DataTest.RandomSamplerReturnsLessValuesForLastBatch 2025-12-04T09:22:49.8808948Z [ OK ] DataTest.RandomSamplerReturnsLessValuesForLastBatch (0 ms) 2025-12-04T09:22:49.8809436Z [ RUN ] DataTest.RandomSamplerResetsWell 2025-12-04T09:22:49.8809899Z [ OK ] DataTest.RandomSamplerResetsWell (0 ms) 2025-12-04T09:22:49.8810332Z [ RUN ] DataTest.RandomSamplerResetsWithNewSizeWell 2025-12-04T09:22:49.8810781Z [ OK ] DataTest.RandomSamplerResetsWithNewSizeWell (0 ms) 2025-12-04T09:22:49.8811301Z [ RUN ] DataTest.SavingAndLoadingRandomSamplerYieldsSameSequence 2025-12-04T09:22:49.8831041Z [ OK ] DataTest.SavingAndLoadingRandomSamplerYieldsSameSequence (1 ms) 2025-12-04T09:22:49.8831639Z [ RUN ] DataTest.StreamSamplerReturnsTheBatchSizeAndThenRemainder 2025-12-04T09:22:49.8832243Z [ OK ] DataTest.StreamSamplerReturnsTheBatchSizeAndThenRemainder (0 ms) 2025-12-04T09:22:49.8832756Z [ RUN ] DataTest.StreamSamplerResetsWell 2025-12-04T09:22:49.8833151Z [ OK ] DataTest.StreamSamplerResetsWell (0 ms) 2025-12-04T09:22:49.8833562Z [ RUN ] DataTest.StreamSamplerResetsWithNewSizeWell 2025-12-04T09:22:49.8834030Z [ OK ] DataTest.StreamSamplerResetsWithNewSizeWell (0 ms) 2025-12-04T09:22:49.8834509Z [ RUN ] DataTest.TensorDatasetConstructsFromSingleTensor 2025-12-04T09:22:49.8835980Z [ OK ] DataTest.TensorDatasetConstructsFromSingleTensor (0 ms) 2025-12-04T09:22:49.8836550Z [ RUN ] DataTest.TensorDatasetConstructsFromInitializerListOfTensors 2025-12-04T09:22:49.8842017Z [ OK ] DataTest.TensorDatasetConstructsFromInitializerListOfTensors (0 ms) 2025-12-04T09:22:49.8854859Z [ RUN ] DataTest.StackTransformWorksForExample 2025-12-04T09:22:49.8855295Z [ OK ] DataTest.StackTransformWorksForExample (1 ms) 2025-12-04T09:22:49.8855739Z [ RUN ] DataTest.StackTransformWorksForTensorExample 2025-12-04T09:22:49.8860696Z [ OK ] DataTest.StackTransformWorksForTensorExample (0 ms) 2025-12-04T09:22:49.8861180Z [ RUN ] DataTest.TensorTransformWorksForAnyTargetType 2025-12-04T09:22:49.8865531Z [ OK ] DataTest.TensorTransformWorksForAnyTargetType (0 ms) 2025-12-04T09:22:49.8866040Z [ RUN ] DataTest.TensorLambdaWorksforAnyTargetType 2025-12-04T09:22:49.8870260Z [ OK ] DataTest.TensorLambdaWorksforAnyTargetType (0 ms) 2025-12-04T09:22:49.8870668Z [ RUN ] DataTest.NormalizeTransform 2025-12-04T09:22:49.8903302Z [ OK ] DataTest.NormalizeTransform (3 ms) 2025-12-04T09:22:49.8903742Z [ RUN ] DataTest.MapDoesNotCopy 2025-12-04T09:22:49.8904629Z [ OK ] DataTest.MapDoesNotCopy (0 ms) 2025-12-04T09:22:49.8904999Z [ RUN ] DataTest.QueuePushAndPopFromSameThread 2025-12-04T09:22:49.8905427Z [ OK ] DataTest.QueuePushAndPopFromSameThread (0 ms) 2025-12-04T09:22:49.8905888Z [ RUN ] DataTest.QueuePopWithTimeoutThrowsUponTimeout 2025-12-04T09:22:49.9006418Z [ OK ] DataTest.QueuePopWithTimeoutThrowsUponTimeout (10 ms) 2025-12-04T09:22:49.9007199Z [ RUN ] DataTest.QueuePushAndPopFromDifferentThreads 2025-12-04T09:22:49.9212441Z [ OK ] DataTest.QueuePushAndPopFromDifferentThreads (20 ms) 2025-12-04T09:22:49.9213230Z [ RUN ] DataTest.QueueClearEmptiesTheQueue 2025-12-04T09:22:49.9223140Z [ OK ] DataTest.QueueClearEmptiesTheQueue (1 ms) 2025-12-04T09:22:49.9223621Z [ RUN ] DataTest.DataShuttleCanPushAndPopJob 2025-12-04T09:22:49.9224099Z [ OK ] DataTest.DataShuttleCanPushAndPopJob (0 ms) 2025-12-04T09:22:49.9224545Z [ RUN ] DataTest.DataShuttleCanPushAndPopResult 2025-12-04T09:22:49.9224994Z [ OK ] DataTest.DataShuttleCanPushAndPopResult (0 ms) 2025-12-04T09:22:49.9225586Z [ RUN ] DataTest.DataShuttlePopResultReturnsNulloptWhenNoJobsInFlight 2025-12-04T09:22:49.9226304Z [ OK ] DataTest.DataShuttlePopResultReturnsNulloptWhenNoJobsInFlight (0 ms) 2025-12-04T09:22:49.9226966Z [ RUN ] DataTest.DataShuttleDrainMeansPopResultReturnsNullopt 2025-12-04T09:22:49.9227614Z [ OK ] DataTest.DataShuttleDrainMeansPopResultReturnsNullopt (0 ms) 2025-12-04T09:22:49.9228129Z [ RUN ] DataTest.DataShuttlePopResultTimesOut 2025-12-04T09:22:49.9324789Z [ OK ] DataTest.DataShuttlePopResultTimesOut (10 ms) 2025-12-04T09:22:49.9325254Z [ RUN ] DataTest.SharedBatchDatasetReallyIsShared 2025-12-04T09:22:49.9341872Z [ OK ] DataTest.SharedBatchDatasetReallyIsShared (1 ms) 2025-12-04T09:22:49.9342457Z [ RUN ] DataTest.SharedBatchDatasetDoesNotIncurCopyWhenPassedDatasetObject 2025-12-04T09:22:49.9343159Z [ OK ] DataTest.SharedBatchDatasetDoesNotIncurCopyWhenPassedDatasetObject (0 ms) 2025-12-04T09:22:49.9343812Z [ RUN ] DataTest.CanUseCustomTypeAsIndexType 2025-12-04T09:22:49.9344230Z [ OK ] DataTest.CanUseCustomTypeAsIndexType (0 ms) 2025-12-04T09:22:49.9344786Z [ RUN ] DataTest.DistributedRandomSamplerSingleReplicaProduceCorrectSamples 2025-12-04T09:22:49.9354376Z [ OK ] DataTest.DistributedRandomSamplerSingleReplicaProduceCorrectSamples (1 ms) 2025-12-04T09:22:49.9355193Z [ RUN ] DataTest.DistributedRandomSamplerMultiReplicaProduceCorrectSamples 2025-12-04T09:22:49.9357033Z [ OK ] DataTest.DistributedRandomSamplerMultiReplicaProduceCorrectSamples (0 ms) 2025-12-04T09:22:49.9357673Z [ RUN ] DataTest.CanSaveAndLoadDistributedRandomSampler 2025-12-04T09:22:49.9387441Z [ OK ] DataTest.CanSaveAndLoadDistributedRandomSampler (3 ms) 2025-12-04T09:22:49.9388161Z [ RUN ] DataTest.DistributedSequentialSamplerSingleReplicaProduceCorrectSamples 2025-12-04T09:22:49.9389011Z [ OK ] DataTest.DistributedSequentialSamplerSingleReplicaProduceCorrectSamples (0 ms) 2025-12-04T09:22:49.9389866Z [ RUN ] DataTest.DistributedSequentialSamplerMultiReplicaProduceCorrectSamples 2025-12-04T09:22:49.9390709Z [ OK ] DataTest.DistributedSequentialSamplerMultiReplicaProduceCorrectSamples (0 ms) 2025-12-04T09:22:49.9391427Z [ RUN ] DataTest.CanSaveAndLoadDistributedSequentialSampler 2025-12-04T09:22:49.9405559Z [ OK ] DataTest.CanSaveAndLoadDistributedSequentialSampler (1 ms) 2025-12-04T09:22:49.9406133Z [----------] 50 tests from DataTest (145 ms total) 2025-12-04T09:22:49.9406374Z 2025-12-04T09:22:49.9406515Z [----------] 37 tests from DataLoaderTest 2025-12-04T09:22:49.9406914Z [ RUN ] DataLoaderTest.DataLoaderOptionsDefaultAsExpected 2025-12-04T09:22:49.9407441Z [ OK ] DataLoaderTest.DataLoaderOptionsDefaultAsExpected (0 ms) 2025-12-04T09:22:49.9407989Z [ RUN ] DataLoaderTest.DataLoaderOptionsCoalesceOptionalValues 2025-12-04T09:22:49.9408551Z [ OK ] DataLoaderTest.DataLoaderOptionsCoalesceOptionalValues (0 ms) 2025-12-04T09:22:49.9409099Z [ RUN ] DataLoaderTest.MakeDataLoaderDefaultsAsExpected 2025-12-04T09:22:49.9409601Z [ OK ] DataLoaderTest.MakeDataLoaderDefaultsAsExpected (0 ms) 2025-12-04T09:22:49.9410252Z [ RUN ] DataLoaderTest.MakeDataLoaderThrowsWhenConstructingSamplerWithUnsizedDataset 2025-12-04T09:22:49.9411097Z [ OK ] DataLoaderTest.MakeDataLoaderThrowsWhenConstructingSamplerWithUnsizedDataset (0 ms) 2025-12-04T09:22:49.9412102Z [ RUN ] DataLoaderTest.IteratorsCompareEqualToThemselves 2025-12-04T09:22:49.9412687Z [ OK ] DataLoaderTest.IteratorsCompareEqualToThemselves (0 ms) 2025-12-04T09:22:49.9413392Z [ RUN ] DataLoaderTest.ValidIteratorsCompareUnequalToEachOther 2025-12-04T09:22:49.9413991Z [ OK ] DataLoaderTest.ValidIteratorsCompareUnequalToEachOther (0 ms) 2025-12-04T09:22:49.9414609Z [ RUN ] DataLoaderTest.SentinelIteratorsCompareEqualToEachOther 2025-12-04T09:22:49.9415259Z [ OK ] DataLoaderTest.SentinelIteratorsCompareEqualToEachOther (0 ms) 2025-12-04T09:22:49.9415924Z [ RUN ] DataLoaderTest.IteratorsCompareEqualToSentinelWhenExhausted 2025-12-04T09:22:49.9416619Z [ OK ] DataLoaderTest.IteratorsCompareEqualToSentinelWhenExhausted (0 ms) 2025-12-04T09:22:49.9417292Z [ RUN ] DataLoaderTest.IteratorsShareState 2025-12-04T09:22:49.9417683Z [ OK ] DataLoaderTest.IteratorsShareState (0 ms) 2025-12-04T09:22:49.9418148Z [ RUN ] DataLoaderTest.CanDereferenceIteratorMultipleTimes 2025-12-04T09:22:49.9418680Z [ OK ] DataLoaderTest.CanDereferenceIteratorMultipleTimes (0 ms) 2025-12-04T09:22:49.9419171Z [ RUN ] DataLoaderTest.CanUseIteratorAlgorithms 2025-12-04T09:22:49.9419592Z [ OK ] DataLoaderTest.CanUseIteratorAlgorithms (0 ms) 2025-12-04T09:22:49.9420132Z [ RUN ] DataLoaderTest.CallingBeginWhileOtherIteratorIsInFlightThrows 2025-12-04T09:22:49.9420867Z [ OK ] DataLoaderTest.CallingBeginWhileOtherIteratorIsInFlightThrows (0 ms) 2025-12-04T09:22:49.9421576Z [ RUN ] DataLoaderTest.IncrementingExhaustedValidIteratorThrows 2025-12-04T09:22:49.9422158Z [ OK ] DataLoaderTest.IncrementingExhaustedValidIteratorThrows (0 ms) 2025-12-04T09:22:49.9422746Z [ RUN ] DataLoaderTest.DereferencingExhaustedValidIteratorThrows 2025-12-04T09:22:49.9423335Z [ OK ] DataLoaderTest.DereferencingExhaustedValidIteratorThrows (0 ms) 2025-12-04T09:22:49.9423958Z [ RUN ] DataLoaderTest.IncrementingSentinelIteratorThrows 2025-12-04T09:22:49.9424489Z [ OK ] DataLoaderTest.IncrementingSentinelIteratorThrows (0 ms) 2025-12-04T09:22:49.9425012Z [ RUN ] DataLoaderTest.DereferencingSentinelIteratorThrows 2025-12-04T09:22:49.9425539Z [ OK ] DataLoaderTest.DereferencingSentinelIteratorThrows (0 ms) 2025-12-04T09:22:49.9426002Z [ RUN ] DataLoaderTest.YieldsCorrectBatchSize 2025-12-04T09:22:49.9426419Z [ OK ] DataLoaderTest.YieldsCorrectBatchSize (0 ms) 2025-12-04T09:22:49.9427020Z [ RUN ] DataLoaderTest.ReturnsLastBatchWhenSmallerThanBatchSizeWhenDropLastIsFalse 2025-12-04T09:22:49.9427828Z [ OK ] DataLoaderTest.ReturnsLastBatchWhenSmallerThanBatchSizeWhenDropLastIsFalse (0 ms) 2025-12-04T09:22:49.9428671Z [ RUN ] DataLoaderTest.DoesNotReturnLastBatchWhenSmallerThanBatchSizeWhenDropLastIsTrue 2025-12-04T09:22:49.9429546Z [ OK ] DataLoaderTest.DoesNotReturnLastBatchWhenSmallerThanBatchSizeWhenDropLastIsTrue (0 ms) 2025-12-04T09:22:49.9430185Z [ RUN ] DataLoaderTest.RespectsTimeout 2025-12-04T09:22:49.9530290Z [ OK ] DataLoaderTest.RespectsTimeout (10 ms) 2025-12-04T09:22:49.9530818Z [ RUN ] DataLoaderTest.EnforcesOrderingAmongThreadsWhenConfigured 2025-12-04T09:22:49.9550115Z [ OK ] DataLoaderTest.EnforcesOrderingAmongThreadsWhenConfigured (1 ms) 2025-12-04T09:22:49.9550672Z [ RUN ] DataLoaderTest.Reset 2025-12-04T09:22:49.9551563Z [ OK ] DataLoaderTest.Reset (0 ms) 2025-12-04T09:22:49.9552000Z [ RUN ] DataLoaderTest.TestExceptionsArePropagatedFromWorkers 2025-12-04T09:22:49.9556808Z [ OK ] DataLoaderTest.TestExceptionsArePropagatedFromWorkers (0 ms) 2025-12-04T09:22:49.9557326Z [ RUN ] DataLoaderTest.StatefulDatasetWithNoWorkers 2025-12-04T09:22:49.9557850Z [ OK ] DataLoaderTest.StatefulDatasetWithNoWorkers (0 ms) 2025-12-04T09:22:49.9558374Z [ RUN ] DataLoaderTest.StatefulDatasetWithManyWorkers 2025-12-04T09:22:49.9571518Z [ OK ] DataLoaderTest.StatefulDatasetWithManyWorkers (1 ms) 2025-12-04T09:22:49.9572215Z [ RUN ] DataLoaderTest.StatefulDatasetWithMap 2025-12-04T09:22:49.9575289Z [ OK ] DataLoaderTest.StatefulDatasetWithMap (0 ms) 2025-12-04T09:22:49.9575775Z [ RUN ] DataLoaderTest.StatefulDatasetWithCollate 2025-12-04T09:22:49.9581835Z [ OK ] DataLoaderTest.StatefulDatasetWithCollate (0 ms) 2025-12-04T09:22:49.9582259Z [ RUN ] DataLoaderTest.ChunkDataSetGetBatch 2025-12-04T09:22:49.9700874Z [ OK ] DataLoaderTest.ChunkDataSetGetBatch (11 ms) 2025-12-04T09:22:49.9701368Z [ RUN ] DataLoaderTest.ChunkDataSetWithBatchSizeMismatch 2025-12-04T09:22:49.9708608Z [ OK ] DataLoaderTest.ChunkDataSetWithBatchSizeMismatch (0 ms) 2025-12-04T09:22:49.9709208Z [ RUN ] DataLoaderTest.ChunkDataSetWithEmptyBatch 2025-12-04T09:22:49.9710159Z [ OK ] DataLoaderTest.ChunkDataSetWithEmptyBatch (0 ms) 2025-12-04T09:22:49.9710722Z [ RUN ] DataLoaderTest.ChunkDataSetGetBatchWithUnevenBatchSize 2025-12-04T09:22:49.9714118Z [ OK ] DataLoaderTest.ChunkDataSetGetBatchWithUnevenBatchSize (0 ms) 2025-12-04T09:22:49.9714772Z [ RUN ] DataLoaderTest.CanAccessChunkSamplerWithChunkDataSet 2025-12-04T09:22:49.9716916Z [ OK ] DataLoaderTest.CanAccessChunkSamplerWithChunkDataSet (0 ms) 2025-12-04T09:22:49.9717484Z [ RUN ] DataLoaderTest.ChunkDatasetDoesNotHang 2025-12-04T09:22:49.9719382Z [ OK ] DataLoaderTest.ChunkDatasetDoesNotHang (0 ms) 2025-12-04T09:22:49.9719847Z [ RUN ] DataLoaderTest.ChunkDatasetSave 2025-12-04T09:22:49.9954647Z [ OK ] DataLoaderTest.ChunkDatasetSave (23 ms) 2025-12-04T09:22:49.9955110Z [ RUN ] DataLoaderTest.ChunkDatasetLoad 2025-12-04T09:22:49.9976152Z [ OK ] DataLoaderTest.ChunkDatasetLoad (2 ms) 2025-12-04T09:22:49.9976641Z [ RUN ] DataLoaderTest.ChunkDatasetCrossChunkShuffle 2025-12-04T09:22:49.9987777Z [ OK ] DataLoaderTest.ChunkDatasetCrossChunkShuffle (1 ms) 2025-12-04T09:22:49.9988559Z [ RUN ] DataLoaderTest.CustomPreprocessPolicy 2025-12-04T09:22:49.9994263Z [ OK ] DataLoaderTest.CustomPreprocessPolicy (0 ms) 2025-12-04T09:22:49.9994743Z [----------] 37 tests from DataLoaderTest (58 ms total) 2025-12-04T09:22:49.9994998Z 2025-12-04T09:22:49.9995100Z [----------] 1 test from EnumTest 2025-12-04T09:22:49.9995583Z [ RUN ] EnumTest.AllEnums 2025-12-04T09:22:49.9995959Z [ OK ] EnumTest.AllEnums (0 ms) 2025-12-04T09:22:49.9996319Z [----------] 1 test from EnumTest (0 ms total) 2025-12-04T09:22:49.9996549Z 2025-12-04T09:22:49.9996671Z [----------] 6 tests from ExpandingArrayTest 2025-12-04T09:22:49.9997099Z [ RUN ] ExpandingArrayTest.CanConstructFromInitializerList 2025-12-04T09:22:49.9997633Z [ OK ] ExpandingArrayTest.CanConstructFromInitializerList (0 ms) 2025-12-04T09:22:49.9998125Z [ RUN ] ExpandingArrayTest.CanConstructFromVector 2025-12-04T09:22:49.9998574Z [ OK ] ExpandingArrayTest.CanConstructFromVector (0 ms) 2025-12-04T09:22:49.9999017Z [ RUN ] ExpandingArrayTest.CanConstructFromArray 2025-12-04T09:22:49.9999456Z [ OK ] ExpandingArrayTest.CanConstructFromArray (0 ms) 2025-12-04T09:22:49.9999911Z [ RUN ] ExpandingArrayTest.CanConstructFromSingleValue 2025-12-04T09:22:50.0000407Z [ OK ] ExpandingArrayTest.CanConstructFromSingleValue (0 ms) 2025-12-04T09:22:50.0001148Z [ RUN ] ExpandingArrayTest.ThrowsWhenConstructedWithIncorrectNumberOfArgumentsInInitializerList 2025-12-04T09:22:50.0002129Z [ OK ] ExpandingArrayTest.ThrowsWhenConstructedWithIncorrectNumberOfArgumentsInInitializerList (0 ms) 2025-12-04T09:22:50.0003061Z [ RUN ] ExpandingArrayTest.ThrowsWhenConstructedWithIncorrectNumberOfArgumentsInVector 2025-12-04T09:22:50.0003924Z [ OK ] ExpandingArrayTest.ThrowsWhenConstructedWithIncorrectNumberOfArgumentsInVector (0 ms) 2025-12-04T09:22:50.0004590Z [----------] 6 tests from ExpandingArrayTest (0 ms total) 2025-12-04T09:22:50.0004847Z 2025-12-04T09:22:50.0004948Z [----------] 10 tests from FFTTest 2025-12-04T09:22:50.0005245Z [ RUN ] FFTTest.fft 2025-12-04T09:22:50.0115394Z [ OK ] FFTTest.fft (11 ms) 2025-12-04T09:22:50.0115907Z [ RUN ] FFTTest.fft_real 2025-12-04T09:22:50.0136447Z [ OK ] FFTTest.fft_real (2 ms) 2025-12-04T09:22:50.0136785Z [ RUN ] FFTTest.fft_pad 2025-12-04T09:22:50.0158080Z [ OK ] FFTTest.fft_pad (2 ms) 2025-12-04T09:22:50.0158402Z [ RUN ] FFTTest.fft_norm 2025-12-04T09:22:50.0168490Z [ OK ] FFTTest.fft_norm (1 ms) 2025-12-04T09:22:50.0168814Z [ RUN ] FFTTest.ifft 2025-12-04T09:22:50.0176545Z [ OK ] FFTTest.ifft (0 ms) 2025-12-04T09:22:50.0176855Z [ RUN ] FFTTest.fft_ifft 2025-12-04T09:22:50.0280926Z [ OK ] FFTTest.fft_ifft (10 ms) 2025-12-04T09:22:50.0281263Z [ RUN ] FFTTest.rfft 2025-12-04T09:22:50.0288721Z [ OK ] FFTTest.rfft (0 ms) 2025-12-04T09:22:50.0289074Z [ RUN ] FFTTest.rfft_irfft 2025-12-04T09:22:50.0294210Z [ OK ] FFTTest.rfft_irfft (0 ms) 2025-12-04T09:22:50.0294587Z [ RUN ] FFTTest.ihfft 2025-12-04T09:22:50.0303620Z [ OK ] FFTTest.ihfft (0 ms) 2025-12-04T09:22:50.0303947Z [ RUN ] FFTTest.hfft_ihfft 2025-12-04T09:22:50.0336807Z [ OK ] FFTTest.hfft_ihfft (3 ms) 2025-12-04T09:22:50.0337176Z [----------] 10 tests from FFTTest (33 ms total) 2025-12-04T09:22:50.0337446Z 2025-12-04T09:22:50.0337565Z [----------] 134 tests from FunctionalTest 2025-12-04T09:22:50.0337892Z [ RUN ] FunctionalTest.Conv1d 2025-12-04T09:22:50.0383307Z [ OK ] FunctionalTest.Conv1d (4 ms) 2025-12-04T09:22:50.0383712Z [ RUN ] FunctionalTest.Conv2dEven 2025-12-04T09:22:50.0397236Z [ OK ] FunctionalTest.Conv2dEven (1 ms) 2025-12-04T09:22:50.0397625Z [ RUN ] FunctionalTest.Conv2dUneven 2025-12-04T09:22:50.0408314Z [ OK ] FunctionalTest.Conv2dUneven (1 ms) 2025-12-04T09:22:50.0408679Z [ RUN ] FunctionalTest.Conv3d 2025-12-04T09:22:50.0447619Z [ OK ] FunctionalTest.Conv3d (3 ms) 2025-12-04T09:22:50.0447990Z [ RUN ] FunctionalTest.MaxPool1d 2025-12-04T09:22:50.0451463Z [ OK ] FunctionalTest.MaxPool1d (0 ms) 2025-12-04T09:22:50.0451815Z [ RUN ] FunctionalTest.MaxPool2d 2025-12-04T09:22:50.0455571Z [ OK ] FunctionalTest.MaxPool2d (0 ms) 2025-12-04T09:22:50.0455926Z [ RUN ] FunctionalTest.MaxPool2dBackward 2025-12-04T09:22:50.0461297Z [ OK ] FunctionalTest.MaxPool2dBackward (0 ms) 2025-12-04T09:22:50.0461674Z [ RUN ] FunctionalTest.MaxPool3d 2025-12-04T09:22:50.0465626Z [ OK ] FunctionalTest.MaxPool3d (0 ms) 2025-12-04T09:22:50.0465957Z [ RUN ] FunctionalTest.AvgPool1d 2025-12-04T09:22:50.0470594Z [ OK ] FunctionalTest.AvgPool1d (0 ms) 2025-12-04T09:22:50.0470944Z [ RUN ] FunctionalTest.AvgPool2d 2025-12-04T09:22:50.0474598Z [ OK ] FunctionalTest.AvgPool2d (0 ms) 2025-12-04T09:22:50.0474942Z [ RUN ] FunctionalTest.AvgPool3d 2025-12-04T09:22:50.0478337Z [ OK ] FunctionalTest.AvgPool3d (0 ms) 2025-12-04T09:22:50.0478707Z [ RUN ] FunctionalTest.FractionalMaxPool2d 2025-12-04T09:22:50.0494946Z [ OK ] FunctionalTest.FractionalMaxPool2d (1 ms) 2025-12-04T09:22:50.0495355Z [ RUN ] FunctionalTest.FractionalMaxPool3d 2025-12-04T09:22:50.0504279Z [ OK ] FunctionalTest.FractionalMaxPool3d (0 ms) 2025-12-04T09:22:50.0504651Z [ RUN ] FunctionalTest.LPPool1d 2025-12-04T09:22:50.0512111Z [ OK ] FunctionalTest.LPPool1d (0 ms) 2025-12-04T09:22:50.0512462Z [ RUN ] FunctionalTest.LPPool2d 2025-12-04T09:22:50.0517732Z [ OK ] FunctionalTest.LPPool2d (0 ms) 2025-12-04T09:22:50.0518060Z [ RUN ] FunctionalTest.LPPool3d 2025-12-04T09:22:50.0523975Z [ OK ] FunctionalTest.LPPool3d (0 ms) 2025-12-04T09:22:50.0524330Z [ RUN ] FunctionalTest.CosineSimilarity 2025-12-04T09:22:50.0532877Z [ OK ] FunctionalTest.CosineSimilarity (0 ms) 2025-12-04T09:22:50.0533322Z [ RUN ] FunctionalTest.SmoothL1LossDefaultOptions 2025-12-04T09:22:50.0570780Z [ OK ] FunctionalTest.SmoothL1LossDefaultOptions (3 ms) 2025-12-04T09:22:50.0571245Z [ RUN ] FunctionalTest.SmoothL1LossBeta 2025-12-04T09:22:50.0577366Z [ OK ] FunctionalTest.SmoothL1LossBeta (0 ms) 2025-12-04T09:22:50.0578041Z [ RUN ] FunctionalTest.SmoothL1LossBetaOptions 2025-12-04T09:22:50.0583778Z [ OK ] FunctionalTest.SmoothL1LossBetaOptions (0 ms) 2025-12-04T09:22:50.0584367Z [ RUN ] FunctionalTest.SmoothL1LossNoReduction 2025-12-04T09:22:50.0590319Z [ OK ] FunctionalTest.SmoothL1LossNoReduction (0 ms) 2025-12-04T09:22:50.0590741Z [ RUN ] FunctionalTest.HuberLossDefaultOptions 2025-12-04T09:22:50.0599514Z [ OK ] FunctionalTest.HuberLossDefaultOptions (0 ms) 2025-12-04T09:22:50.0599945Z [ RUN ] FunctionalTest.HuberLossDelta 2025-12-04T09:22:50.0606236Z [ OK ] FunctionalTest.HuberLossDelta (0 ms) 2025-12-04T09:22:50.0606628Z [ RUN ] FunctionalTest.HuberLossNoReduction 2025-12-04T09:22:50.0612927Z [ OK ] FunctionalTest.HuberLossNoReduction (0 ms) 2025-12-04T09:22:50.0613344Z [ RUN ] FunctionalTest.SoftMarginLossDefaultOptions 2025-12-04T09:22:50.0626092Z [ OK ] FunctionalTest.SoftMarginLossDefaultOptions (1 ms) 2025-12-04T09:22:50.0626612Z [ RUN ] FunctionalTest.MultiLabelSoftMarginLossDefaultOptions 2025-12-04T09:22:50.0645521Z [ OK ] FunctionalTest.MultiLabelSoftMarginLossDefaultOptions (1 ms) 2025-12-04T09:22:50.0646038Z [ RUN ] FunctionalTest.SoftMarginLossNoReduction 2025-12-04T09:22:50.0653417Z [ OK ] FunctionalTest.SoftMarginLossNoReduction (0 ms) 2025-12-04T09:22:50.0653958Z [ RUN ] FunctionalTest.MultiLabelSoftMarginLossWeightedNoReduction 2025-12-04T09:22:50.0667929Z [ OK ] FunctionalTest.MultiLabelSoftMarginLossWeightedNoReduction (1 ms) 2025-12-04T09:22:50.0668441Z [ RUN ] FunctionalTest.PairwiseDistance 2025-12-04T09:22:50.0674770Z [ OK ] FunctionalTest.PairwiseDistance (0 ms) 2025-12-04T09:22:50.0675145Z [ RUN ] FunctionalTest.PDist 2025-12-04T09:22:50.0688117Z [ OK ] FunctionalTest.PDist (1 ms) 2025-12-04T09:22:50.0688509Z [ RUN ] FunctionalTest.AdaptiveMaxPool1d 2025-12-04T09:22:50.0692774Z [ OK ] FunctionalTest.AdaptiveMaxPool1d (0 ms) 2025-12-04T09:22:50.0693175Z [ RUN ] FunctionalTest.AdaptiveMaxPool2d 2025-12-04T09:22:50.0696276Z [ OK ] FunctionalTest.AdaptiveMaxPool2d (0 ms) 2025-12-04T09:22:50.0696669Z [ RUN ] FunctionalTest.AdaptiveMaxPool3d 2025-12-04T09:22:50.0700184Z [ OK ] FunctionalTest.AdaptiveMaxPool3d (0 ms) 2025-12-04T09:22:50.0700563Z [ RUN ] FunctionalTest.AdaptiveAvgPool1d 2025-12-04T09:22:50.0704176Z [ OK ] FunctionalTest.AdaptiveAvgPool1d (0 ms) 2025-12-04T09:22:50.0704629Z [ RUN ] FunctionalTest.AdaptiveAvgPool2d 2025-12-04T09:22:50.0707290Z [ OK ] FunctionalTest.AdaptiveAvgPool2d (0 ms) 2025-12-04T09:22:50.0707664Z [ RUN ] FunctionalTest.AdaptiveAvgPool3d 2025-12-04T09:22:50.0710890Z [ OK ] FunctionalTest.AdaptiveAvgPool3d (0 ms) 2025-12-04T09:22:50.0711254Z [ RUN ] FunctionalTest.L1Loss 2025-12-04T09:22:50.0720213Z [ OK ] FunctionalTest.L1Loss (0 ms) 2025-12-04T09:22:50.0720585Z [ RUN ] FunctionalTest.MSELoss 2025-12-04T09:22:50.0727000Z [ OK ] FunctionalTest.MSELoss (0 ms) 2025-12-04T09:22:50.0727338Z [ RUN ] FunctionalTest.BCELoss 2025-12-04T09:22:50.0734092Z [ OK ] FunctionalTest.BCELoss (0 ms) 2025-12-04T09:22:50.0734432Z [ RUN ] FunctionalTest.KLDivLoss 2025-12-04T09:22:50.0745165Z [W1204 09:22:50.747306744 loss.h:54] Warning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. (function kl_div) 2025-12-04T09:22:50.0750300Z [ OK ] FunctionalTest.KLDivLoss (1 ms) 2025-12-04T09:22:50.0750669Z [ RUN ] FunctionalTest.HingeEmbeddingLoss 2025-12-04T09:22:50.0757969Z [ OK ] FunctionalTest.HingeEmbeddingLoss (0 ms) 2025-12-04T09:22:50.0758381Z [ RUN ] FunctionalTest.GridSample 2025-12-04T09:22:50.0813524Z [W1204 09:22:50.754138966 vision.h:84] Warning: Default grid_sample and affine_grid behavior has changed to align_corners=False since 1.3.0. Please specify align_corners=True if the old behavior is desired. See the documentation of grid_sample for details. (function grid_sample) 2025-12-04T09:22:50.0837990Z [ OK ] FunctionalTest.GridSample (7 ms) 2025-12-04T09:22:50.0838461Z [ RUN ] FunctionalTest.AffineGrid 2025-12-04T09:22:50.0885858Z [ OK ] FunctionalTest.AffineGrid (4 ms) 2025-12-04T09:22:50.0886255Z [ RUN ] FunctionalTest.MultiMarginLoss 2025-12-04T09:22:50.0891666Z [ OK ] FunctionalTest.MultiMarginLoss (0 ms) 2025-12-04T09:22:50.0892043Z [ RUN ] FunctionalTest.CosineEmbeddingLoss 2025-12-04T09:22:50.0902264Z [ OK ] FunctionalTest.CosineEmbeddingLoss (1 ms) 2025-12-04T09:22:50.0902757Z [ RUN ] FunctionalTest.MultiLabelMarginLossDefaultOptions 2025-12-04T09:22:50.0910628Z [ OK ] FunctionalTest.MultiLabelMarginLossDefaultOptions (0 ms) 2025-12-04T09:22:50.0911137Z [ RUN ] FunctionalTest.MultiLabelMarginLossNoReduction 2025-12-04T09:22:50.0917276Z [ OK ] FunctionalTest.MultiLabelMarginLossNoReduction (0 ms) 2025-12-04T09:22:50.0917730Z [ RUN ] FunctionalTest.TripletMarginLoss 2025-12-04T09:22:50.0923940Z [ OK ] FunctionalTest.TripletMarginLoss (0 ms) 2025-12-04T09:22:50.0924494Z [ RUN ] FunctionalTest.TripletMarginWithDistanceLossDefaultParity 2025-12-04T09:22:50.1620538Z [ OK ] FunctionalTest.TripletMarginWithDistanceLossDefaultParity (69 ms) 2025-12-04T09:22:50.1621054Z [ RUN ] FunctionalTest.NLLLoss 2025-12-04T09:22:50.1627446Z [ OK ] FunctionalTest.NLLLoss (0 ms) 2025-12-04T09:22:50.1627798Z [ RUN ] FunctionalTest.CrossEntropy 2025-12-04T09:22:50.1646886Z [ OK ] FunctionalTest.CrossEntropy (1 ms) 2025-12-04T09:22:50.1647291Z [ RUN ] FunctionalTest.MaxUnpool1d 2025-12-04T09:22:50.1668613Z [ OK ] FunctionalTest.MaxUnpool1d (2 ms) 2025-12-04T09:22:50.1669006Z [ RUN ] FunctionalTest.MaxUnpool2d 2025-12-04T09:22:50.1692231Z [ OK ] FunctionalTest.MaxUnpool2d (2 ms) 2025-12-04T09:22:50.1692613Z [ RUN ] FunctionalTest.MaxUnpool3d 2025-12-04T09:22:50.1705926Z [ OK ] FunctionalTest.MaxUnpool3d (1 ms) 2025-12-04T09:22:50.1706289Z [ RUN ] FunctionalTest.ELU 2025-12-04T09:22:50.1787029Z [ OK ] FunctionalTest.ELU (8 ms) 2025-12-04T09:22:50.1787415Z [ RUN ] FunctionalTest.SELU 2025-12-04T09:22:50.1807568Z [ OK ] FunctionalTest.SELU (2 ms) 2025-12-04T09:22:50.1807917Z [ RUN ] FunctionalTest.GLU 2025-12-04T09:22:50.1816842Z [ OK ] FunctionalTest.GLU (0 ms) 2025-12-04T09:22:50.1817185Z [ RUN ] FunctionalTest.GELU 2025-12-04T09:22:50.1838274Z [ OK ] FunctionalTest.GELU (2 ms) 2025-12-04T09:22:50.1838633Z [ RUN ] FunctionalTest.TanhGELU 2025-12-04T09:22:50.1853731Z [ OK ] FunctionalTest.TanhGELU (1 ms) 2025-12-04T09:22:50.1854096Z [ RUN ] FunctionalTest.Hardshrink 2025-12-04T09:22:50.1906385Z [ OK ] FunctionalTest.Hardshrink (5 ms) 2025-12-04T09:22:50.1906748Z [ RUN ] FunctionalTest.OneHot 2025-12-04T09:22:50.1925641Z [ OK ] FunctionalTest.OneHot (1 ms) 2025-12-04T09:22:50.1926015Z [ RUN ] FunctionalTest.Hardtanh 2025-12-04T09:22:50.2075448Z [ OK ] FunctionalTest.Hardtanh (14 ms) 2025-12-04T09:22:50.2075811Z [ RUN ] FunctionalTest.LeakyReLU 2025-12-04T09:22:50.2158500Z [ OK ] FunctionalTest.LeakyReLU (8 ms) 2025-12-04T09:22:50.2158887Z [ RUN ] FunctionalTest.LogSigmoid 2025-12-04T09:22:50.2164176Z [ OK ] FunctionalTest.LogSigmoid (0 ms) 2025-12-04T09:22:50.2164534Z [ RUN ] FunctionalTest.GumbelSoftmax 2025-12-04T09:22:50.2323468Z [ OK ] FunctionalTest.GumbelSoftmax (15 ms) 2025-12-04T09:22:50.2323834Z [ RUN ] FunctionalTest.Softmax 2025-12-04T09:22:50.2329276Z [ OK ] FunctionalTest.Softmax (0 ms) 2025-12-04T09:22:50.2329708Z [ RUN ] FunctionalTest.Softmin 2025-12-04T09:22:50.2336414Z [ OK ] FunctionalTest.Softmin (0 ms) 2025-12-04T09:22:50.2336742Z [ RUN ] FunctionalTest.LogSoftmax 2025-12-04T09:22:50.2343284Z [ OK ] FunctionalTest.LogSoftmax (0 ms) 2025-12-04T09:22:50.2343681Z [ RUN ] FunctionalTest.PReLU 2025-12-04T09:22:50.2352725Z [ OK ] FunctionalTest.PReLU (0 ms) 2025-12-04T09:22:50.2353061Z [ RUN ] FunctionalTest.LayerNorm 2025-12-04T09:22:50.2356105Z [ OK ] FunctionalTest.LayerNorm (0 ms) 2025-12-04T09:22:50.2356449Z [ RUN ] FunctionalTest.GroupNorm 2025-12-04T09:22:50.2360159Z [ OK ] FunctionalTest.GroupNorm (0 ms) 2025-12-04T09:22:50.2360520Z [ RUN ] FunctionalTest.LocalResponseNorm 2025-12-04T09:22:50.2368098Z [ OK ] FunctionalTest.LocalResponseNorm (0 ms) 2025-12-04T09:22:50.2368504Z [ RUN ] FunctionalTest.Linear 2025-12-04T09:22:50.2383953Z [ OK ] FunctionalTest.Linear (1 ms) 2025-12-04T09:22:50.2384324Z [ RUN ] FunctionalTest.Embedding 2025-12-04T09:22:50.2389198Z [ OK ] FunctionalTest.Embedding (0 ms) 2025-12-04T09:22:50.2389537Z [ RUN ] FunctionalTest.EmbeddingBag 2025-12-04T09:22:50.2408186Z [ OK ] FunctionalTest.EmbeddingBag (1 ms) 2025-12-04T09:22:50.2408563Z [ RUN ] FunctionalTest.Bilinear 2025-12-04T09:22:50.2465576Z [ OK ] FunctionalTest.Bilinear (5 ms) 2025-12-04T09:22:50.2465921Z [ RUN ] FunctionalTest.Normalize 2025-12-04T09:22:50.2488787Z [ OK ] FunctionalTest.Normalize (2 ms) 2025-12-04T09:22:50.2489176Z [ RUN ] FunctionalTest.ReLU 2025-12-04T09:22:50.2504984Z [ OK ] FunctionalTest.ReLU (1 ms) 2025-12-04T09:22:50.2505386Z [ RUN ] FunctionalTest.ReLUDefaultOptions 2025-12-04T09:22:50.2508961Z [ OK ] FunctionalTest.ReLUDefaultOptions (0 ms) 2025-12-04T09:22:50.2509320Z [ RUN ] FunctionalTest.ReLU6 2025-12-04T09:22:50.2526890Z [ OK ] FunctionalTest.ReLU6 (1 ms) 2025-12-04T09:22:50.2527269Z [ RUN ] FunctionalTest.ReLU6DefaultOptions 2025-12-04T09:22:50.2532391Z [ OK ] FunctionalTest.ReLU6DefaultOptions (0 ms) 2025-12-04T09:22:50.2532751Z [ RUN ] FunctionalTest.RReLU 2025-12-04T09:22:50.2720310Z [ OK ] FunctionalTest.RReLU (18 ms) 2025-12-04T09:22:50.2720690Z [ RUN ] FunctionalTest.RReLUDefaultOptions 2025-12-04T09:22:50.2729571Z [ OK ] FunctionalTest.RReLUDefaultOptions (0 ms) 2025-12-04T09:22:50.2729937Z [ RUN ] FunctionalTest.CELU 2025-12-04T09:22:50.2791796Z [ OK ] FunctionalTest.CELU (6 ms) 2025-12-04T09:22:50.2792204Z [ RUN ] FunctionalTest.CELUDefaultOptions 2025-12-04T09:22:50.2799172Z [ OK ] FunctionalTest.CELUDefaultOptions (0 ms) 2025-12-04T09:22:50.2799587Z [ RUN ] FunctionalTest.PixelShuffle 2025-12-04T09:22:50.2806450Z [ OK ] FunctionalTest.PixelShuffle (0 ms) 2025-12-04T09:22:50.2806817Z [ RUN ] FunctionalTest.PixelUnshuffle 2025-12-04T09:22:50.2813446Z [ OK ] FunctionalTest.PixelUnshuffle (0 ms) 2025-12-04T09:22:50.2813803Z [ RUN ] FunctionalTest.Softplus 2025-12-04T09:22:50.2859080Z [ OK ] FunctionalTest.Softplus (4 ms) 2025-12-04T09:22:50.2859481Z [ RUN ] FunctionalTest.SoftplusDefaultOptions 2025-12-04T09:22:50.2864166Z [ OK ] FunctionalTest.SoftplusDefaultOptions (0 ms) 2025-12-04T09:22:50.2864549Z [ RUN ] FunctionalTest.Fold 2025-12-04T09:22:50.2869969Z [ OK ] FunctionalTest.Fold (0 ms) 2025-12-04T09:22:50.2870617Z [ RUN ] FunctionalTest.Unfold 2025-12-04T09:22:50.2876366Z [ OK ] FunctionalTest.Unfold (0 ms) 2025-12-04T09:22:50.2876731Z [ RUN ] FunctionalTest.Softshrink 2025-12-04T09:22:50.2923957Z [ OK ] FunctionalTest.Softshrink (4 ms) 2025-12-04T09:22:50.2924407Z [ RUN ] FunctionalTest.SoftshrinkDefaultOptions 2025-12-04T09:22:50.2929211Z [ OK ] FunctionalTest.SoftshrinkDefaultOptions (0 ms) 2025-12-04T09:22:50.2929619Z [ RUN ] FunctionalTest.Softsign 2025-12-04T09:22:50.2933473Z [ OK ] FunctionalTest.Softsign (0 ms) 2025-12-04T09:22:50.2933820Z [ RUN ] FunctionalTest.Mish 2025-12-04T09:22:50.2939207Z [ OK ] FunctionalTest.Mish (0 ms) 2025-12-04T09:22:50.2939546Z [ RUN ] FunctionalTest.Tanhshrink 2025-12-04T09:22:50.2943113Z [ OK ] FunctionalTest.Tanhshrink (0 ms) 2025-12-04T09:22:50.2943507Z [ RUN ] FunctionalTest.Threshold 2025-12-04T09:22:50.3012808Z [ OK ] FunctionalTest.Threshold (6 ms) 2025-12-04T09:22:50.3013188Z [ RUN ] FunctionalTest.BatchNorm1d 2025-12-04T09:22:50.3018054Z [ OK ] FunctionalTest.BatchNorm1d (0 ms) 2025-12-04T09:22:50.3018586Z [ RUN ] FunctionalTest.BatchNorm1dDefaultOptions 2025-12-04T09:22:50.3022423Z [ OK ] FunctionalTest.BatchNorm1dDefaultOptions (0 ms) 2025-12-04T09:22:50.3022832Z [ RUN ] FunctionalTest.BatchNorm2d 2025-12-04T09:22:50.3027707Z [ OK ] FunctionalTest.BatchNorm2d (0 ms) 2025-12-04T09:22:50.3028090Z [ RUN ] FunctionalTest.BatchNorm2dDefaultOptions 2025-12-04T09:22:50.3032552Z [ OK ] FunctionalTest.BatchNorm2dDefaultOptions (0 ms) 2025-12-04T09:22:50.3032955Z [ RUN ] FunctionalTest.BatchNorm3d 2025-12-04T09:22:50.3037436Z [ OK ] FunctionalTest.BatchNorm3d (0 ms) 2025-12-04T09:22:50.3037829Z [ RUN ] FunctionalTest.BatchNorm3dDefaultOptions 2025-12-04T09:22:50.3042139Z [ OK ] FunctionalTest.BatchNorm3dDefaultOptions (0 ms) 2025-12-04T09:22:50.3042573Z [ RUN ] FunctionalTest.InstanceNorm1d 2025-12-04T09:22:50.3057853Z [ OK ] FunctionalTest.InstanceNorm1d (1 ms) 2025-12-04T09:22:50.3058310Z [ RUN ] FunctionalTest.InstanceNorm1dDefaultOptions 2025-12-04T09:22:50.3065025Z [ OK ] FunctionalTest.InstanceNorm1dDefaultOptions (0 ms) 2025-12-04T09:22:50.3065437Z [ RUN ] FunctionalTest.InstanceNorm2d 2025-12-04T09:22:50.3079128Z [ OK ] FunctionalTest.InstanceNorm2d (1 ms) 2025-12-04T09:22:50.3079589Z [ RUN ] FunctionalTest.InstanceNorm2dDefaultOptions 2025-12-04T09:22:50.3087896Z [ OK ] FunctionalTest.InstanceNorm2dDefaultOptions (0 ms) 2025-12-04T09:22:50.3088317Z [ RUN ] FunctionalTest.InstanceNorm3d 2025-12-04T09:22:50.3107047Z [ OK ] FunctionalTest.InstanceNorm3d (1 ms) 2025-12-04T09:22:50.3107471Z [ RUN ] FunctionalTest.InstanceNorm3dDefaultOptions 2025-12-04T09:22:50.3120563Z [ OK ] FunctionalTest.InstanceNorm3dDefaultOptions (1 ms) 2025-12-04T09:22:50.3120990Z [ RUN ] FunctionalTest.Interpolate 2025-12-04T09:22:50.3135176Z [W1204 09:22:50.986277302 upsampling.h:61] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2025-12-04T09:22:50.3138741Z [W1204 09:22:50.986649131 upsampling.h:61] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2025-12-04T09:22:50.3142753Z [W1204 09:22:50.987043359 upsampling.h:61] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2025-12-04T09:22:50.3146091Z [W1204 09:22:50.987262533 upsampling.h:61] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2025-12-04T09:22:50.3149571Z [W1204 09:22:50.987651217 upsampling.h:61] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2025-12-04T09:22:50.3169221Z [W1204 09:22:50.989674776 upsampling.h:61] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2025-12-04T09:22:50.3175438Z [W1204 09:22:50.990306748 upsampling.h:61] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2025-12-04T09:22:50.3178865Z [W1204 09:22:50.990666061 upsampling.h:61] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2025-12-04T09:22:50.3237111Z [ OK ] FunctionalTest.Interpolate (11 ms) 2025-12-04T09:22:50.3237502Z [ RUN ] FunctionalTest.Pad1 2025-12-04T09:22:50.3242007Z [ OK ] FunctionalTest.Pad1 (0 ms) 2025-12-04T09:22:50.3242340Z [ RUN ] FunctionalTest.Pad2 2025-12-04T09:22:50.3250707Z [ OK ] FunctionalTest.Pad2 (0 ms) 2025-12-04T09:22:50.3251040Z [ RUN ] FunctionalTest.Pad3 2025-12-04T09:22:50.3276972Z [ OK ] FunctionalTest.Pad3 (2 ms) 2025-12-04T09:22:50.3277326Z [ RUN ] FunctionalTest.Pad4 2025-12-04T09:22:50.3286437Z [ OK ] FunctionalTest.Pad4 (0 ms) 2025-12-04T09:22:50.3286792Z [ RUN ] FunctionalTest.Pad5 2025-12-04T09:22:50.3301710Z [ OK ] FunctionalTest.Pad5 (1 ms) 2025-12-04T09:22:50.3302071Z [ RUN ] FunctionalTest.Pad6 2025-12-04T09:22:50.3313796Z [ OK ] FunctionalTest.Pad6 (1 ms) 2025-12-04T09:22:50.3314136Z [ RUN ] FunctionalTest.Pad7 2025-12-04T09:22:50.3314811Z [ OK ] FunctionalTest.Pad7 (0 ms) 2025-12-04T09:22:50.3315132Z [ RUN ] FunctionalTest.Pad8 2025-12-04T09:22:50.3316233Z [ OK ] FunctionalTest.Pad8 (0 ms) 2025-12-04T09:22:50.3316549Z [ RUN ] FunctionalTest.CTCLoss 2025-12-04T09:22:50.3396356Z [ OK ] FunctionalTest.CTCLoss (7 ms) 2025-12-04T09:22:50.3396751Z [ RUN ] FunctionalTest.PoissonNLLLoss 2025-12-04T09:22:50.3410840Z [ OK ] FunctionalTest.PoissonNLLLoss (1 ms) 2025-12-04T09:22:50.3411251Z [ RUN ] FunctionalTest.MarginRankingLoss 2025-12-04T09:22:50.3428520Z [ OK ] FunctionalTest.MarginRankingLoss (1 ms) 2025-12-04T09:22:50.3428938Z [ RUN ] FunctionalTest.ConvTranspose1d 2025-12-04T09:22:50.3568120Z [ OK ] FunctionalTest.ConvTranspose1d (13 ms) 2025-12-04T09:22:50.3568599Z [ RUN ] FunctionalTest.ConvTranspose2dEven 2025-12-04T09:22:50.3595609Z [ OK ] FunctionalTest.ConvTranspose2dEven (2 ms) 2025-12-04T09:22:50.3596107Z [ RUN ] FunctionalTest.ConvTranspose2dUneven 2025-12-04T09:22:50.3613545Z [ OK ] FunctionalTest.ConvTranspose2dUneven (1 ms) 2025-12-04T09:22:50.3613978Z [ RUN ] FunctionalTest.ConvTranspose3d 2025-12-04T09:22:50.3636307Z [ OK ] FunctionalTest.ConvTranspose3d (2 ms) 2025-12-04T09:22:50.3636710Z [ RUN ] FunctionalTest.AlphaDropout 2025-12-04T09:22:50.3696409Z [ OK ] FunctionalTest.AlphaDropout (5 ms) 2025-12-04T09:22:50.3696842Z [ RUN ] FunctionalTest.FeatureAlphaDropout 2025-12-04T09:22:50.3754831Z [ OK ] FunctionalTest.FeatureAlphaDropout (5 ms) 2025-12-04T09:22:50.3755433Z [ RUN ] FunctionalTest.Dropout 2025-12-04T09:22:50.3783147Z [ OK ] FunctionalTest.Dropout (2 ms) 2025-12-04T09:22:50.3783584Z [ RUN ] FunctionalTest.Dropout2d 2025-12-04T09:22:50.3809312Z [ OK ] FunctionalTest.Dropout2d (2 ms) 2025-12-04T09:22:50.3809723Z [ RUN ] FunctionalTest.Dropout3d 2025-12-04T09:22:50.3834290Z [ OK ] FunctionalTest.Dropout3d (2 ms) 2025-12-04T09:22:50.3834665Z [ RUN ] FunctionalTest.isfinite 2025-12-04T09:22:50.3869788Z [ OK ] FunctionalTest.isfinite (3 ms) 2025-12-04T09:22:50.3870136Z [ RUN ] FunctionalTest.isinf 2025-12-04T09:22:50.3893528Z [ OK ] FunctionalTest.isinf (2 ms) 2025-12-04T09:22:50.3893876Z [ RUN ] FunctionalTest.AllClose 2025-12-04T09:22:50.4312594Z [ OK ] FunctionalTest.AllClose (41 ms) 2025-12-04T09:22:50.4312986Z [ RUN ] FunctionalTest.BCEWithLogitsLoss 2025-12-04T09:22:50.4380901Z [ OK ] FunctionalTest.BCEWithLogitsLoss (6 ms) 2025-12-04T09:22:50.4381312Z [----------] 134 tests from FunctionalTest (404 ms total) 2025-12-04T09:22:50.4381612Z 2025-12-04T09:22:50.4381714Z [----------] 9 tests from InitTest 2025-12-04T09:22:50.4382083Z [ RUN ] InitTest.ProducesPyTorchValues_XavierUniform 2025-12-04T09:22:50.4467761Z [ OK ] InitTest.ProducesPyTorchValues_XavierUniform (8 ms) 2025-12-04T09:22:50.4468229Z [ RUN ] InitTest.ProducesPyTorchValues_XavierNormal 2025-12-04T09:22:50.4541394Z [ OK ] InitTest.ProducesPyTorchValues_XavierNormal (7 ms) 2025-12-04T09:22:50.4541860Z [ RUN ] InitTest.ProducesPyTorchValues_KaimingNormal 2025-12-04T09:22:50.4616792Z [ OK ] InitTest.ProducesPyTorchValues_KaimingNormal (7 ms) 2025-12-04T09:22:50.4617259Z [ RUN ] InitTest.ProducesPyTorchValues_KaimingUniform 2025-12-04T09:22:50.4688763Z [ OK ] InitTest.ProducesPyTorchValues_KaimingUniform (7 ms) 2025-12-04T09:22:50.4689270Z [ RUN ] InitTest.CanInitializeTensorThatRequiresGrad 2025-12-04T09:22:50.4716225Z [ OK ] InitTest.CanInitializeTensorThatRequiresGrad (2 ms) 2025-12-04T09:22:50.4716682Z [ RUN ] InitTest.CalculateGainWithTanh 2025-12-04T09:22:50.4717055Z [ OK ] InitTest.CalculateGainWithTanh (0 ms) 2025-12-04T09:22:50.4717443Z [ RUN ] InitTest.CalculateGainWithRelu 2025-12-04T09:22:50.4717800Z [ OK ] InitTest.CalculateGainWithRelu (0 ms) 2025-12-04T09:22:50.4718188Z [ RUN ] InitTest.CalculateGainWithLeakyRelu 2025-12-04T09:22:50.4718589Z [ OK ] InitTest.CalculateGainWithLeakyRelu (0 ms) 2025-12-04T09:22:50.4718986Z [ RUN ] InitTest.CanInitializeCnnWithOrthogonal 2025-12-04T09:22:50.4851000Z [ OK ] InitTest.CanInitializeCnnWithOrthogonal (13 ms) 2025-12-04T09:22:50.4851457Z [----------] 9 tests from InitTest (47 ms total) 2025-12-04T09:22:50.4851693Z 2025-12-04T09:22:50.4851819Z [----------] 1 test from IntegrationTest 2025-12-04T09:22:50.4852144Z [ RUN ] IntegrationTest.CartPole 2025-12-04T09:24:19.6105114Z [ OK ] IntegrationTest.CartPole (89125 ms) 2025-12-04T09:24:19.6105568Z [----------] 1 test from IntegrationTest (89125 ms total) 2025-12-04T09:24:19.6105884Z 2025-12-04T09:24:19.6105992Z [----------] 1 test from IValueTest 2025-12-04T09:24:19.6106317Z [ RUN ] IValueTest.DeepcopyTensors 2025-12-04T09:24:19.6123425Z [ OK ] IValueTest.DeepcopyTensors (1 ms) 2025-12-04T09:24:19.6123843Z [----------] 1 test from IValueTest (1 ms total) 2025-12-04T09:24:19.6124081Z 2025-12-04T09:24:19.6124214Z [----------] 6 tests from TorchScriptTest 2025-12-04T09:24:19.6124611Z [ RUN ] TorchScriptTest.CanCompileMultipleFunctions 2025-12-04T09:24:19.9416301Z [ OK ] TorchScriptTest.CanCompileMultipleFunctions (329 ms) 2025-12-04T09:24:19.9416838Z [ RUN ] TorchScriptTest.TestNestedIValueModuleArgMatching 2025-12-04T09:24:19.9535961Z [ OK ] TorchScriptTest.TestNestedIValueModuleArgMatching (12 ms) 2025-12-04T09:24:19.9536452Z [ RUN ] TorchScriptTest.TestDictArgMatching 2025-12-04T09:24:19.9563763Z [ OK ] TorchScriptTest.TestDictArgMatching (2 ms) 2025-12-04T09:24:19.9564487Z [ RUN ] TorchScriptTest.TestTupleArgMatching 2025-12-04T09:24:19.9583966Z [ OK ] TorchScriptTest.TestTupleArgMatching (1 ms) 2025-12-04T09:24:19.9584400Z [ RUN ] TorchScriptTest.TestOptionalArgMatching 2025-12-04T09:24:19.9630893Z [ OK ] TorchScriptTest.TestOptionalArgMatching (4 ms) 2025-12-04T09:24:19.9631346Z [ RUN ] TorchScriptTest.TestPickle 2025-12-04T09:24:19.9631709Z [ OK ] TorchScriptTest.TestPickle (0 ms) 2025-12-04T09:24:19.9632160Z [----------] 6 tests from TorchScriptTest (350 ms total) 2025-12-04T09:24:19.9632525Z 2025-12-04T09:24:19.9632693Z [----------] 3 tests from MakeUniqueTest 2025-12-04T09:24:19.9633208Z [ RUN ] MakeUniqueTest.ForwardRvaluesCorrectly 2025-12-04T09:24:19.9633671Z [ OK ] MakeUniqueTest.ForwardRvaluesCorrectly (0 ms) 2025-12-04T09:24:19.9634146Z [ RUN ] MakeUniqueTest.ForwardLvaluesCorrectly 2025-12-04T09:24:19.9634562Z [ OK ] MakeUniqueTest.ForwardLvaluesCorrectly (0 ms) 2025-12-04T09:24:19.9634999Z [ RUN ] MakeUniqueTest.CanConstructUniquePtrOfArray 2025-12-04T09:24:19.9635476Z [ OK ] MakeUniqueTest.CanConstructUniquePtrOfArray (0 ms) 2025-12-04T09:24:19.9635901Z [----------] 3 tests from MakeUniqueTest (0 ms total) 2025-12-04T09:24:19.9636168Z 2025-12-04T09:24:19.9636276Z [----------] 2 tests from MetaTensorTest 2025-12-04T09:24:19.9636614Z [ RUN ] MetaTensorTest.MetaDeviceApi 2025-12-04T09:24:19.9636971Z [ OK ] MetaTensorTest.MetaDeviceApi (0 ms) 2025-12-04T09:24:19.9637347Z [ RUN ] MetaTensorTest.MetaNamespaceApi 2025-12-04T09:24:19.9637726Z [ OK ] MetaTensorTest.MetaNamespaceApi (0 ms) 2025-12-04T09:24:19.9638115Z [----------] 2 tests from MetaTensorTest (0 ms total) 2025-12-04T09:24:19.9638360Z 2025-12-04T09:24:19.9638462Z [----------] 2 tests from UtilsTest 2025-12-04T09:24:19.9638768Z [ RUN ] UtilsTest.WarnOnce 2025-12-04T09:24:19.9639065Z [ OK ] UtilsTest.WarnOnce (0 ms) 2025-12-04T09:24:19.9639407Z [ RUN ] UtilsTest.AmbiguousOperatorDefaults 2025-12-04T09:24:19.9644427Z [ OK ] UtilsTest.AmbiguousOperatorDefaults (1 ms) 2025-12-04T09:24:19.9644822Z [----------] 2 tests from UtilsTest (1 ms total) 2025-12-04T09:24:19.9645093Z 2025-12-04T09:24:19.9645202Z [----------] 1 test from NoGradTest 2025-12-04T09:24:19.9645536Z [ RUN ] NoGradTest.SetsGradModeCorrectly 2025-12-04T09:24:19.9649083Z [ OK ] NoGradTest.SetsGradModeCorrectly (0 ms) 2025-12-04T09:24:19.9649471Z [----------] 1 test from NoGradTest (0 ms total) 2025-12-04T09:24:19.9649706Z 2025-12-04T09:24:19.9649814Z [----------] 3 tests from AutogradTest 2025-12-04T09:24:19.9650158Z [ RUN ] AutogradTest.CanTakeDerivatives 2025-12-04T09:24:19.9657504Z [ OK ] AutogradTest.CanTakeDerivatives (0 ms) 2025-12-04T09:24:19.9657959Z [ RUN ] AutogradTest.CanTakeDerivativesOfZeroDimTensors 2025-12-04T09:24:19.9664885Z [ OK ] AutogradTest.CanTakeDerivativesOfZeroDimTensors (0 ms) 2025-12-04T09:24:19.9665372Z [ RUN ] AutogradTest.CanPassCustomGradientInputs 2025-12-04T09:24:19.9672858Z [ OK ] AutogradTest.CanPassCustomGradientInputs (0 ms) 2025-12-04T09:24:19.9673277Z [----------] 3 tests from AutogradTest (2 ms total) 2025-12-04T09:24:19.9673532Z 2025-12-04T09:24:19.9673663Z [----------] 1 test from OptionalArrayRefTest 2025-12-04T09:24:19.9674123Z [ RUN ] OptionalArrayRefTest.DanglingPointerFix 2025-12-04T09:24:19.9674598Z [ OK ] OptionalArrayRefTest.DanglingPointerFix (0 ms) 2025-12-04T09:24:19.9675020Z [----------] 1 test from OptionalArrayRefTest (0 ms total) 2025-12-04T09:24:19.9675291Z 2025-12-04T09:24:19.9675397Z [----------] 52 tests from ModuleTest 2025-12-04T09:24:19.9675792Z [ RUN ] ModuleTest.CanEnableAndDisableTrainingMode 2025-12-04T09:24:19.9676226Z [ OK ] ModuleTest.CanEnableAndDisableTrainingMode (0 ms) 2025-12-04T09:24:19.9676624Z [ RUN ] ModuleTest.ZeroGrad 2025-12-04T09:24:19.9692012Z [ OK ] ModuleTest.ZeroGrad (1 ms) 2025-12-04T09:24:19.9692370Z [ RUN ] ModuleTest.ZeroGradWithUndefined 2025-12-04T09:24:19.9697397Z [ OK ] ModuleTest.ZeroGradWithUndefined (0 ms) 2025-12-04T09:24:19.9698076Z [ RUN ] ModuleTest.RegisterModuleThrowsForEmptyOrDottedName 2025-12-04T09:24:19.9699892Z [ OK ] ModuleTest.RegisterModuleThrowsForEmptyOrDottedName (0 ms) 2025-12-04T09:24:19.9700557Z [ RUN ] ModuleTest.RegisterModuleThrowsForDuplicateModuleName 2025-12-04T09:24:19.9701608Z [ OK ] ModuleTest.RegisterModuleThrowsForDuplicateModuleName (0 ms) 2025-12-04T09:24:19.9702161Z [ RUN ] ModuleTest.ReplaceModuleThrowsForUnknownModuleName 2025-12-04T09:24:19.9703152Z [ OK ] ModuleTest.ReplaceModuleThrowsForUnknownModuleName (0 ms) 2025-12-04T09:24:19.9703658Z [ RUN ] ModuleTest.ReplaceModule 2025-12-04T09:24:19.9705445Z [ OK ] ModuleTest.ReplaceModule (0 ms) 2025-12-04T09:24:19.9705797Z [ RUN ] ModuleTest.UnregisterModule 2025-12-04T09:24:19.9739144Z [ OK ] ModuleTest.UnregisterModule (3 ms) 2025-12-04T09:24:19.9739609Z [ RUN ] ModuleTest.RegisterParameterThrowsForEmptyOrDottedName 2025-12-04T09:24:19.9740438Z [ OK ] ModuleTest.RegisterParameterThrowsForEmptyOrDottedName (0 ms) 2025-12-04T09:24:19.9741023Z [ RUN ] ModuleTest.RegisterParameterThrowsForDuplicateModuleName 2025-12-04T09:24:19.9741754Z [ OK ] ModuleTest.RegisterParameterThrowsForDuplicateModuleName (0 ms) 2025-12-04T09:24:19.9742418Z [ RUN ] ModuleTest.RegisterParameterUndefinedTensor 2025-12-04T09:24:19.9742879Z [ OK ] ModuleTest.RegisterParameterUndefinedTensor (0 ms) 2025-12-04T09:24:19.9743570Z [ RUN ] ModuleTest.RegisterBufferThrowsForEmptyOrDottedName 2025-12-04T09:24:19.9744111Z [ OK ] ModuleTest.RegisterBufferThrowsForEmptyOrDottedName (0 ms) 2025-12-04T09:24:19.9744801Z [ RUN ] ModuleTest.RegisterBufferThrowsForDuplicateModuleName 2025-12-04T09:24:19.9745425Z [ OK ] ModuleTest.RegisterBufferThrowsForDuplicateModuleName (0 ms) 2025-12-04T09:24:19.9745898Z [ RUN ] ModuleTest.CanGetName 2025-12-04T09:24:19.9746259Z [ OK ] ModuleTest.CanGetName (0 ms) 2025-12-04T09:24:19.9746689Z [ RUN ] ModuleTest.AsCastsModulesCorrectly 2025-12-04T09:24:19.9747088Z [ OK ] ModuleTest.AsCastsModulesCorrectly (0 ms) 2025-12-04T09:24:19.9747545Z [ RUN ] ModuleTest.DeviceOrDtypeConversionSkipsUndefinedTensor 2025-12-04T09:24:19.9758399Z [ OK ] ModuleTest.DeviceOrDtypeConversionSkipsUndefinedTensor (1 ms) 2025-12-04T09:24:19.9759013Z [ RUN ] ModuleTest.ParametersAndBuffersAccessorSkipsUndefinedTensor 2025-12-04T09:24:19.9761445Z [ OK ] ModuleTest.ParametersAndBuffersAccessorSkipsUndefinedTensor (0 ms) 2025-12-04T09:24:19.9762202Z [ RUN ] ModuleTest.CallingCloneOnModuleThatDoesNotOverrideCloneThrows 2025-12-04T09:24:19.9762962Z [ OK ] ModuleTest.CallingCloneOnModuleThatDoesNotOverrideCloneThrows (0 ms) 2025-12-04T09:24:19.9763638Z [ RUN ] ModuleTest.CallingCloneOnModuleThatDoesOverrideCloneDoesNotThrow 2025-12-04T09:24:19.9764335Z [ OK ] ModuleTest.CallingCloneOnModuleThatDoesOverrideCloneDoesNotThrow (0 ms) 2025-12-04T09:24:19.9764913Z [ RUN ] ModuleTest.CloneCreatesDistinctParameters 2025-12-04T09:24:19.9801917Z [ OK ] ModuleTest.CloneCreatesDistinctParameters (3 ms) 2025-12-04T09:24:19.9802387Z [ RUN ] ModuleTest.ClonePreservesExternalReferences 2025-12-04T09:24:19.9813884Z [ OK ] ModuleTest.ClonePreservesExternalReferences (1 ms) 2025-12-04T09:24:19.9814412Z [ RUN ] ModuleTest.CloneCopiesTheValuesOfVariablesOfSubmodules 2025-12-04T09:24:19.9822509Z [ OK ] ModuleTest.CloneCopiesTheValuesOfVariablesOfSubmodules (0 ms) 2025-12-04T09:24:19.9823031Z [ RUN ] ModuleTest.HasCorrectNumberOfParameters 2025-12-04T09:24:19.9824378Z [ OK ] ModuleTest.HasCorrectNumberOfParameters (0 ms) 2025-12-04T09:24:19.9824850Z [ RUN ] ModuleTest.ContainsParametersWithTheCorrectName 2025-12-04T09:24:19.9825437Z [ OK ] ModuleTest.ContainsParametersWithTheCorrectName (0 ms) 2025-12-04T09:24:19.9825902Z [ RUN ] ModuleTest.HasCorrectNumberOfBuffers 2025-12-04T09:24:19.9827095Z [ OK ] ModuleTest.HasCorrectNumberOfBuffers (0 ms) 2025-12-04T09:24:19.9827747Z [ RUN ] ModuleTest.ContainsBuffersWithTheCorrectName 2025-12-04T09:24:19.9828389Z [ OK ] ModuleTest.ContainsBuffersWithTheCorrectName (0 ms) 2025-12-04T09:24:19.9829226Z [ RUN ] ModuleTest.DefaultConstructorOfModuleHolderCallsDefaultConstructorOfImpl 2025-12-04T09:24:19.9830019Z [ OK ] ModuleTest.DefaultConstructorOfModuleHolderCallsDefaultConstructorOfImpl (0 ms) 2025-12-04T09:24:19.9830799Z [ RUN ] ModuleTest.ValueConstructorOfModuleHolderCallsCorrectConstructorInImpl 2025-12-04T09:24:19.9831644Z [ OK ] ModuleTest.ValueConstructorOfModuleHolderCallsCorrectConstructorInImpl (0 ms) 2025-12-04T09:24:19.9832348Z [ RUN ] ModuleTest.NullptrConstructorLeavesTheModuleHolderInEmptyState 2025-12-04T09:24:19.9833114Z [ OK ] ModuleTest.NullptrConstructorLeavesTheModuleHolderInEmptyState (0 ms) 2025-12-04T09:24:19.9833751Z [ RUN ] ModuleTest.ModulesReturnsExpectedSubmodulesForFlatModel 2025-12-04T09:24:19.9834337Z [ OK ] ModuleTest.ModulesReturnsExpectedSubmodulesForFlatModel (0 ms) 2025-12-04T09:24:19.9834979Z [ RUN ] ModuleTest.ModulesExcludesSelfWhenIncludeSelfSetToFalse 2025-12-04T09:24:19.9835560Z [ OK ] ModuleTest.ModulesExcludesSelfWhenIncludeSelfSetToFalse (0 ms) 2025-12-04T09:24:19.9836197Z [ RUN ] ModuleTest.NamedModulesReturnsExpectedNamedSubmodulesForFlatModel 2025-12-04T09:24:19.9837010Z [ OK ] ModuleTest.NamedModulesReturnsExpectedNamedSubmodulesForFlatModel (0 ms) 2025-12-04T09:24:19.9837687Z [ RUN ] ModuleTest.NamedModulesExcludesSelfWhenIncludeSelfSetToFalse 2025-12-04T09:24:19.9838411Z [ OK ] ModuleTest.NamedModulesExcludesSelfWhenIncludeSelfSetToFalse (0 ms) 2025-12-04T09:24:19.9839029Z [ RUN ] ModuleTest.ChildrenReturnsExpectedSubmodulesForFlatModel 2025-12-04T09:24:19.9839724Z [ OK ] ModuleTest.ChildrenReturnsExpectedSubmodulesForFlatModel (0 ms) 2025-12-04T09:24:19.9840380Z [ RUN ] ModuleTest.NamedChildrenReturnsExpectedNamedSubmodulesForFlatModel 2025-12-04T09:24:19.9841165Z [ OK ] ModuleTest.NamedChildrenReturnsExpectedNamedSubmodulesForFlatModel (0 ms) 2025-12-04T09:24:19.9841898Z [ RUN ] ModuleTest.ParametersReturnsExpectedTensorsForFlatModel 2025-12-04T09:24:19.9842530Z [ OK ] ModuleTest.ParametersReturnsExpectedTensorsForFlatModel (0 ms) 2025-12-04T09:24:19.9843217Z [ RUN ] ModuleTest.NamedParametersReturnsExpectedTensorsForFlatModel 2025-12-04T09:24:19.9843866Z [ OK ] ModuleTest.NamedParametersReturnsExpectedTensorsForFlatModel (0 ms) 2025-12-04T09:24:19.9844455Z [ RUN ] ModuleTest.BuffersReturnsExpectedTensorsForFlatModel 2025-12-04T09:24:19.9845119Z [ OK ] ModuleTest.BuffersReturnsExpectedTensorsForFlatModel (0 ms) 2025-12-04T09:24:19.9845697Z [ RUN ] ModuleTest.NamedBuffersReturnsExpectedTensorsForFlatModel 2025-12-04T09:24:19.9846379Z [ OK ] ModuleTest.NamedBuffersReturnsExpectedTensorsForFlatModel (0 ms) 2025-12-04T09:24:19.9847036Z [ RUN ] ModuleTest.ModulesReturnsExpectedSubmodulesForDeepModel 2025-12-04T09:24:19.9847627Z [ OK ] ModuleTest.ModulesReturnsExpectedSubmodulesForDeepModel (0 ms) 2025-12-04T09:24:19.9848382Z [ RUN ] ModuleTest.NamedModulesReturnsExpectedNamedSubmodulesForDeepModel 2025-12-04T09:24:19.9849163Z [ OK ] ModuleTest.NamedModulesReturnsExpectedNamedSubmodulesForDeepModel (0 ms) 2025-12-04T09:24:19.9849885Z [ RUN ] ModuleTest.ChildrensReturnsExpectedSubmodulesForDeepModel 2025-12-04T09:24:19.9850493Z [ OK ] ModuleTest.ChildrensReturnsExpectedSubmodulesForDeepModel (0 ms) 2025-12-04T09:24:19.9851237Z [ RUN ] ModuleTest.NamedChildrensReturnsExpectedNamedSubmodulesForDeepModel 2025-12-04T09:24:19.9852056Z [ OK ] ModuleTest.NamedChildrensReturnsExpectedNamedSubmodulesForDeepModel (0 ms) 2025-12-04T09:24:19.9852722Z [ RUN ] ModuleTest.ModuleApplyIteratesCorreclty 2025-12-04T09:24:19.9853155Z [ OK ] ModuleTest.ModuleApplyIteratesCorreclty (0 ms) 2025-12-04T09:24:19.9853645Z [ RUN ] ModuleTest.ConstModuleApplyIteratesCorreclty 2025-12-04T09:24:19.9854228Z [ OK ] ModuleTest.ConstModuleApplyIteratesCorreclty (0 ms) 2025-12-04T09:24:19.9854702Z [ RUN ] ModuleTest.NamedModuleApplyIteratesCorreclty 2025-12-04T09:24:19.9855236Z [ OK ] ModuleTest.NamedModuleApplyIteratesCorreclty (0 ms) 2025-12-04T09:24:19.9855714Z [ RUN ] ModuleTest.ConstNamedModuleApplyIteratesCorreclty 2025-12-04T09:24:19.9856235Z [ OK ] ModuleTest.ConstNamedModuleApplyIteratesCorreclty (0 ms) 2025-12-04T09:24:19.9856858Z [ RUN ] ModuleTest.ModulePointerApplyIteratesCorreclty 2025-12-04T09:24:19.9857457Z [ OK ] ModuleTest.ModulePointerApplyIteratesCorreclty (0 ms) 2025-12-04T09:24:19.9858009Z [ RUN ] ModuleTest.NamedModulePointerApplyIteratesCorreclty 2025-12-04T09:24:19.9858620Z [ OK ] ModuleTest.NamedModulePointerApplyIteratesCorreclty (0 ms) 2025-12-04T09:24:19.9859216Z [ RUN ] ModuleTest.ThrowsWhenAttemptingtoGetTopLevelModuleAsSharedPtr 2025-12-04T09:24:19.9859938Z [ OK ] ModuleTest.ThrowsWhenAttemptingtoGetTopLevelModuleAsSharedPtr (0 ms) 2025-12-04T09:24:19.9860470Z [ RUN ] ModuleTest.PrettyPrint 2025-12-04T09:24:19.9860879Z [ OK ] ModuleTest.PrettyPrint (0 ms) 2025-12-04T09:24:19.9861357Z [ RUN ] ModuleTest.CanCallForwardOnNonTensorForwardThroughPimpl 2025-12-04T09:24:19.9861925Z [ OK ] ModuleTest.CanCallForwardOnNonTensorForwardThroughPimpl (0 ms) 2025-12-04T09:24:19.9862426Z [----------] 52 tests from ModuleTest (18 ms total) 2025-12-04T09:24:19.9862668Z 2025-12-04T09:24:19.9862791Z [----------] 12 tests from ModuleDictTest 2025-12-04T09:24:19.9863146Z [ RUN ] ModuleDictTest.ConstructsFromList 2025-12-04T09:24:19.9863606Z [ OK ] ModuleDictTest.ConstructsFromList (0 ms) 2025-12-04T09:24:19.9864014Z [ RUN ] ModuleDictTest.ConstructsFromordereddict 2025-12-04T09:24:19.9864446Z [ OK ] ModuleDictTest.ConstructsFromordereddict (0 ms) 2025-12-04T09:24:19.9864863Z [ RUN ] ModuleDictTest.UpdatePopClearContains 2025-12-04T09:24:19.9865280Z [ OK ] ModuleDictTest.UpdatePopClearContains (0 ms) 2025-12-04T09:24:19.9865679Z [ RUN ] ModuleDictTest.UpdateExist 2025-12-04T09:24:19.9866022Z [ OK ] ModuleDictTest.UpdateExist (0 ms) 2025-12-04T09:24:19.9866373Z [ RUN ] ModuleDictTest.Keys 2025-12-04T09:24:19.9873283Z [ OK ] ModuleDictTest.Keys (1 ms) 2025-12-04T09:24:19.9873680Z [ RUN ] ModuleDictTest.Values 2025-12-04T09:24:19.9873988Z [ OK ] ModuleDictTest.Values (0 ms) 2025-12-04T09:24:19.9874409Z [ RUN ] ModuleDictTest.SanityCheckForHoldingStandardModules 2025-12-04T09:24:19.9947240Z [ OK ] ModuleDictTest.SanityCheckForHoldingStandardModules (7 ms) 2025-12-04T09:24:19.9947714Z [ RUN ] ModuleDictTest.HasReferenceSemantics 2025-12-04T09:24:19.9957024Z [ OK ] ModuleDictTest.HasReferenceSemantics (0 ms) 2025-12-04T09:24:19.9957486Z [ RUN ] ModuleDictTest.IsCloneable 2025-12-04T09:24:19.9981333Z [ OK ] ModuleDictTest.IsCloneable (3 ms) 2025-12-04T09:24:19.9981754Z [ RUN ] ModuleDictTest.RegistersElementsAsSubmodules 2025-12-04T09:24:19.9990133Z [ OK ] ModuleDictTest.RegistersElementsAsSubmodules (0 ms) 2025-12-04T09:24:19.9990593Z [ RUN ] ModuleDictTest.PrettyPrintModuleDict 2025-12-04T09:24:20.0000134Z [ OK ] ModuleDictTest.PrettyPrintModuleDict (0 ms) 2025-12-04T09:24:20.0000536Z [ RUN ] ModuleDictTest.InvalidAt 2025-12-04T09:24:20.0001663Z [ OK ] ModuleDictTest.InvalidAt (0 ms) 2025-12-04T09:24:20.0002038Z [----------] 12 tests from ModuleDictTest (14 ms total) 2025-12-04T09:24:20.0002327Z 2025-12-04T09:24:20.0002459Z [----------] 16 tests from ModuleListTest 2025-12-04T09:24:20.0002902Z [ RUN ] ModuleListTest.ConstructsFromSharedPointer 2025-12-04T09:24:20.0003349Z [ OK ] ModuleListTest.ConstructsFromSharedPointer (0 ms) 2025-12-04T09:24:20.0003863Z [ RUN ] ModuleListTest.ConstructsFromConcreteType 2025-12-04T09:24:20.0004306Z [ OK ] ModuleListTest.ConstructsFromConcreteType (0 ms) 2025-12-04T09:24:20.0004800Z [ RUN ] ModuleListTest.ConstructsFromModuleHolder 2025-12-04T09:24:20.0005421Z [ OK ] ModuleListTest.ConstructsFromModuleHolder (0 ms) 2025-12-04T09:24:20.0005965Z [ RUN ] ModuleListTest.PushBackAddsAnElement 2025-12-04T09:24:20.0006475Z [ OK ] ModuleListTest.PushBackAddsAnElement (0 ms) 2025-12-04T09:24:20.0006909Z [ RUN ] ModuleListTest.Insertion 2025-12-04T09:24:20.0007246Z [ OK ] ModuleListTest.Insertion (0 ms) 2025-12-04T09:24:20.0007597Z [ RUN ] ModuleListTest.AccessWithAt 2025-12-04T09:24:20.0007944Z [ OK ] ModuleListTest.AccessWithAt (0 ms) 2025-12-04T09:24:20.0008306Z [ RUN ] ModuleListTest.AccessWithPtr 2025-12-04T09:24:20.0008671Z [ OK ] ModuleListTest.AccessWithPtr (0 ms) 2025-12-04T09:24:20.0009098Z [ RUN ] ModuleListTest.SanityCheckForHoldingStandardModules 2025-12-04T09:24:20.0016100Z [ OK ] ModuleListTest.SanityCheckForHoldingStandardModules (0 ms) 2025-12-04T09:24:20.0016744Z [ RUN ] ModuleListTest.ExtendPushesModulesFromOtherModuleList 2025-12-04T09:24:20.0017321Z [ OK ] ModuleListTest.ExtendPushesModulesFromOtherModuleList (0 ms) 2025-12-04T09:24:20.0017809Z [ RUN ] ModuleListTest.HasReferenceSemantics 2025-12-04T09:24:20.0018525Z [ OK ] ModuleListTest.HasReferenceSemantics (0 ms) 2025-12-04T09:24:20.0018911Z [ RUN ] ModuleListTest.IsCloneable 2025-12-04T09:24:20.0040284Z [ OK ] ModuleListTest.IsCloneable (2 ms) 2025-12-04T09:24:20.0040701Z [ RUN ] ModuleListTest.RegistersElementsAsSubmodules 2025-12-04T09:24:20.0043620Z [ OK ] ModuleListTest.RegistersElementsAsSubmodules (0 ms) 2025-12-04T09:24:20.0044142Z [ RUN ] ModuleListTest.NestingIsPossible 2025-12-04T09:24:20.0044534Z [ OK ] ModuleListTest.NestingIsPossible (0 ms) 2025-12-04T09:24:20.0044934Z [ RUN ] ModuleListTest.PrettyPrintModuleList 2025-12-04T09:24:20.0052413Z [ OK ] ModuleListTest.PrettyPrintModuleList (0 ms) 2025-12-04T09:24:20.0052808Z [ RUN ] ModuleListTest.RangeBasedForLoop 2025-12-04T09:24:20.0053807Z [ OK ] ModuleListTest.RangeBasedForLoop (0 ms) 2025-12-04T09:24:20.0054187Z [ RUN ] ModuleListTest.InvalidAt 2025-12-04T09:24:20.0055200Z [ OK ] ModuleListTest.InvalidAt (0 ms) 2025-12-04T09:24:20.0055581Z [----------] 16 tests from ModuleListTest (5 ms total) 2025-12-04T09:24:20.0055905Z 2025-12-04T09:24:20.0056032Z [----------] 260 tests from ModulesTest 2025-12-04T09:24:20.0056351Z [ RUN ] ModulesTest.Conv1d 2025-12-04T09:24:20.0144157Z [ OK ] ModulesTest.Conv1d (8 ms) 2025-12-04T09:24:20.0144507Z [ RUN ] ModulesTest.Conv1dSameStrided 2025-12-04T09:24:20.0154737Z [ OK ] ModulesTest.Conv1dSameStrided (1 ms) 2025-12-04T09:24:20.0155091Z [ RUN ] ModulesTest.Conv1dIvalidArg 2025-12-04T09:24:20.0155539Z [ OK ] ModulesTest.Conv1dIvalidArg (0 ms) 2025-12-04T09:24:20.0155897Z [ RUN ] ModulesTest.Conv2dEven 2025-12-04T09:24:20.0175348Z [ OK ] ModulesTest.Conv2dEven (1 ms) 2025-12-04T09:24:20.0175682Z [ RUN ] ModulesTest.Conv2dUneven 2025-12-04T09:24:20.0191791Z [ OK ] ModulesTest.Conv2dUneven (1 ms) 2025-12-04T09:24:20.0192162Z [ RUN ] ModulesTest.Conv2dSameStrided 2025-12-04T09:24:20.0195949Z [ OK ] ModulesTest.Conv2dSameStrided (0 ms) 2025-12-04T09:24:20.0196310Z [ RUN ] ModulesTest.Conv3d 2025-12-04T09:24:20.0231204Z [ OK ] ModulesTest.Conv3d (3 ms) 2025-12-04T09:24:20.0231561Z [ RUN ] ModulesTest.Conv3dSameStrided 2025-12-04T09:24:20.0235751Z [ OK ] ModulesTest.Conv3dSameStrided (0 ms) 2025-12-04T09:24:20.0236116Z [ RUN ] ModulesTest.ConvTranspose1d 2025-12-04T09:24:20.0291259Z [ OK ] ModulesTest.ConvTranspose1d (5 ms) 2025-12-04T09:24:20.0291620Z [ RUN ] ModulesTest.ConvTranspose2dEven 2025-12-04T09:24:20.0320167Z [ OK ] ModulesTest.ConvTranspose2dEven (2 ms) 2025-12-04T09:24:20.0320565Z [ RUN ] ModulesTest.ConvTranspose2dUneven 2025-12-04T09:24:20.0343279Z [ OK ] ModulesTest.ConvTranspose2dUneven (2 ms) 2025-12-04T09:24:20.0343729Z [ RUN ] ModulesTest.ConvTranspose3d 2025-12-04T09:24:20.0364211Z [ OK ] ModulesTest.ConvTranspose3d (2 ms) 2025-12-04T09:24:20.0364753Z [ RUN ] ModulesTest.MaxPool1d 2025-12-04T09:24:20.0384969Z [ OK ] ModulesTest.MaxPool1d (2 ms) 2025-12-04T09:24:20.0385451Z [ RUN ] ModulesTest.MaxPool1dReturnIndices 2025-12-04T09:24:20.0394295Z [ OK ] ModulesTest.MaxPool1dReturnIndices (0 ms) 2025-12-04T09:24:20.0394688Z [ RUN ] ModulesTest.MaxPool2dEven 2025-12-04T09:24:20.0402172Z [ OK ] ModulesTest.MaxPool2dEven (0 ms) 2025-12-04T09:24:20.0402559Z [ RUN ] ModulesTest.MaxPool2dUneven 2025-12-04T09:24:20.0409414Z [ OK ] ModulesTest.MaxPool2dUneven (0 ms) 2025-12-04T09:24:20.0409781Z [ RUN ] ModulesTest.MaxPool2dReturnIndices 2025-12-04T09:24:20.0418827Z [ OK ] ModulesTest.MaxPool2dReturnIndices (0 ms) 2025-12-04T09:24:20.0441145Z [ RUN ] ModulesTest.MaxPool3d 2025-12-04T09:24:20.0441487Z [ OK ] ModulesTest.MaxPool3d (2 ms) 2025-12-04T09:24:20.0441837Z [ RUN ] ModulesTest.MaxPool3dReturnIndices 2025-12-04T09:24:20.0452534Z [ OK ] ModulesTest.MaxPool3dReturnIndices (1 ms) 2025-12-04T09:24:20.0452911Z [ RUN ] ModulesTest.AvgPool1d 2025-12-04T09:24:20.0478583Z [ OK ] ModulesTest.AvgPool1d (2 ms) 2025-12-04T09:24:20.0478935Z [ RUN ] ModulesTest.AvgPool2dEven 2025-12-04T09:24:20.0485731Z [ OK ] ModulesTest.AvgPool2dEven (0 ms) 2025-12-04T09:24:20.0486083Z [ RUN ] ModulesTest.AvgPool2dUneven 2025-12-04T09:24:20.0492447Z [ OK ] ModulesTest.AvgPool2dUneven (0 ms) 2025-12-04T09:24:20.0492799Z [ RUN ] ModulesTest.AvgPool3d 2025-12-04T09:24:20.0500891Z [ OK ] ModulesTest.AvgPool3d (0 ms) 2025-12-04T09:24:20.0501240Z [ RUN ] ModulesTest.FractionalMaxPool2d 2025-12-04T09:24:20.0517203Z [ OK ] ModulesTest.FractionalMaxPool2d (1 ms) 2025-12-04T09:24:20.0517666Z [ RUN ] ModulesTest.FractionalMaxPool2dReturnIndices 2025-12-04T09:24:20.0527226Z [ OK ] ModulesTest.FractionalMaxPool2dReturnIndices (0 ms) 2025-12-04T09:24:20.0527656Z [ RUN ] ModulesTest.FractionalMaxPool3d 2025-12-04T09:24:20.0536096Z [ OK ] ModulesTest.FractionalMaxPool3d (0 ms) 2025-12-04T09:24:20.0536520Z [ RUN ] ModulesTest.FractionalMaxPool3dReturnIndices 2025-12-04T09:24:20.0547421Z [ OK ] ModulesTest.FractionalMaxPool3dReturnIndices (1 ms) 2025-12-04T09:24:20.0547843Z [ RUN ] ModulesTest.LPPool1d 2025-12-04T09:24:20.0555510Z [ OK ] ModulesTest.LPPool1d (0 ms) 2025-12-04T09:24:20.0555856Z [ RUN ] ModulesTest.LPPool2d 2025-12-04T09:24:20.0563286Z [ OK ] ModulesTest.LPPool2d (0 ms) 2025-12-04T09:24:20.0563626Z [ RUN ] ModulesTest.LPPool3d 2025-12-04T09:24:20.0571296Z [ OK ] ModulesTest.LPPool3d (0 ms) 2025-12-04T09:24:20.0571630Z [ RUN ] ModulesTest.Identity 2025-12-04T09:24:20.0576539Z [ OK ] ModulesTest.Identity (0 ms) 2025-12-04T09:24:20.0576867Z [ RUN ] ModulesTest.Flatten 2025-12-04T09:24:20.0590316Z [ OK ] ModulesTest.Flatten (1 ms) 2025-12-04T09:24:20.0590633Z [ RUN ] ModulesTest.Unflatten 2025-12-04T09:24:20.0594891Z [W1204 09:24:20.732317964 TensorImpl.h:1976] Warning: 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. (function operator()) 2025-12-04T09:24:20.0596519Z [ OK ] ModulesTest.Unflatten (0 ms) 2025-12-04T09:24:20.0596877Z [ RUN ] ModulesTest.AdaptiveMaxPool1d 2025-12-04T09:24:20.0616898Z [ OK ] ModulesTest.AdaptiveMaxPool1d (2 ms) 2025-12-04T09:24:20.0617318Z [ RUN ] ModulesTest.AdaptiveMaxPool1dReturnIndices 2025-12-04T09:24:20.0627248Z [ OK ] ModulesTest.AdaptiveMaxPool1dReturnIndices (1 ms) 2025-12-04T09:24:20.0627667Z [ RUN ] ModulesTest.AdaptiveMaxPool2dEven 2025-12-04T09:24:20.0642111Z [ OK ] ModulesTest.AdaptiveMaxPool2dEven (1 ms) 2025-12-04T09:24:20.0642518Z [ RUN ] ModulesTest.AdaptiveMaxPool2dUneven 2025-12-04T09:24:20.0651170Z [ OK ] ModulesTest.AdaptiveMaxPool2dUneven (0 ms) 2025-12-04T09:24:20.0651595Z [ RUN ] ModulesTest.AdaptiveMaxPool2dReturnIndicesEven 2025-12-04T09:24:20.0667094Z [ OK ] ModulesTest.AdaptiveMaxPool2dReturnIndicesEven (1 ms) 2025-12-04T09:24:20.0667601Z [ RUN ] ModulesTest.AdaptiveMaxPool2dReturnIndicesUneven 2025-12-04T09:24:20.0681691Z [ OK ] ModulesTest.AdaptiveMaxPool2dReturnIndicesUneven (1 ms) 2025-12-04T09:24:20.0682151Z [ RUN ] ModulesTest.AdaptiveMaxPool3d 2025-12-04T09:24:20.0693889Z [ OK ] ModulesTest.AdaptiveMaxPool3d (1 ms) 2025-12-04T09:24:20.0694300Z [ RUN ] ModulesTest.AdaptiveMaxPool3dReturnIndices 2025-12-04T09:24:20.0719708Z [ OK ] ModulesTest.AdaptiveMaxPool3dReturnIndices (2 ms) 2025-12-04T09:24:20.0720137Z [ RUN ] ModulesTest.AdaptiveAvgPool1d 2025-12-04T09:24:20.0730316Z [ OK ] ModulesTest.AdaptiveAvgPool1d (1 ms) 2025-12-04T09:24:20.0730707Z [ RUN ] ModulesTest.AdaptiveAvgPool2dEven 2025-12-04T09:24:20.0740137Z [ OK ] ModulesTest.AdaptiveAvgPool2dEven (0 ms) 2025-12-04T09:24:20.0740543Z [ RUN ] ModulesTest.AdaptiveAvgPool2dUneven 2025-12-04T09:24:20.0749237Z [ OK ] ModulesTest.AdaptiveAvgPool2dUneven (0 ms) 2025-12-04T09:24:20.0749617Z [ RUN ] ModulesTest.AdaptiveAvgPool3d 2025-12-04T09:24:20.0760886Z [ OK ] ModulesTest.AdaptiveAvgPool3d (1 ms) 2025-12-04T09:24:20.0761246Z [ RUN ] ModulesTest.MaxUnpool1d 2025-12-04T09:24:20.0775079Z [ OK ] ModulesTest.MaxUnpool1d (1 ms) 2025-12-04T09:24:20.0775440Z [ RUN ] ModulesTest.MaxPool1d_MaxUnpool1d 2025-12-04T09:24:20.0793634Z [ OK ] ModulesTest.MaxPool1d_MaxUnpool1d (1 ms) 2025-12-04T09:24:20.0794013Z [ RUN ] ModulesTest.MaxUnpool2d 2025-12-04T09:24:20.0808404Z [ OK ] ModulesTest.MaxUnpool2d (1 ms) 2025-12-04T09:24:20.0808780Z [ RUN ] ModulesTest.MaxPool2d_MaxUnpool2d 2025-12-04T09:24:20.0822827Z [ OK ] ModulesTest.MaxPool2d_MaxUnpool2d (1 ms) 2025-12-04T09:24:20.0823198Z [ RUN ] ModulesTest.MaxUnpool3d 2025-12-04T09:24:20.0832037Z [ OK ] ModulesTest.MaxUnpool3d (0 ms) 2025-12-04T09:24:20.0832442Z [ RUN ] ModulesTest.MaxUnpool3dOutputSize 2025-12-04T09:24:20.0846263Z [ OK ] ModulesTest.MaxUnpool3dOutputSize (1 ms) 2025-12-04T09:24:20.0846639Z [ RUN ] ModulesTest.MaxPool3d_MaxUnpool3d 2025-12-04T09:24:20.4170637Z [ OK ] ModulesTest.MaxPool3d_MaxUnpool3d (332 ms) 2025-12-04T09:24:20.4171039Z [ RUN ] ModulesTest.Linear 2025-12-04T09:24:20.4199577Z [ OK ] ModulesTest.Linear (2 ms) 2025-12-04T09:24:20.4199938Z [ RUN ] ModulesTest.LocalResponseNorm 2025-12-04T09:24:20.4235239Z [ OK ] ModulesTest.LocalResponseNorm (3 ms) 2025-12-04T09:24:20.4235617Z [ RUN ] ModulesTest.LayerNorm 2025-12-04T09:24:20.4247402Z [ OK ] ModulesTest.LayerNorm (1 ms) 2025-12-04T09:24:20.4247744Z [ RUN ] ModulesTest.GroupNorm 2025-12-04T09:24:20.4285397Z [ OK ] ModulesTest.GroupNorm (3 ms) 2025-12-04T09:24:20.4285740Z [ RUN ] ModulesTest.Bilinear 2025-12-04T09:24:20.4309792Z [ OK ] ModulesTest.Bilinear (2 ms) 2025-12-04T09:24:20.4310145Z [ RUN ] ModulesTest.Fold 2025-12-04T09:24:20.4333060Z [ OK ] ModulesTest.Fold (2 ms) 2025-12-04T09:24:20.4333367Z [ RUN ] ModulesTest.Unfold 2025-12-04T09:24:20.4383599Z [ OK ] ModulesTest.Unfold (5 ms) 2025-12-04T09:24:20.4383954Z [ RUN ] ModulesTest.SimpleContainer 2025-12-04T09:24:20.4467380Z [ OK ] ModulesTest.SimpleContainer (8 ms) 2025-12-04T09:24:20.4467731Z [ RUN ] ModulesTest.EmbeddingBasic 2025-12-04T09:24:20.4473623Z [ OK ] ModulesTest.EmbeddingBasic (0 ms) 2025-12-04T09:24:20.4473985Z [ RUN ] ModulesTest.EmbeddingList 2025-12-04T09:24:20.4478113Z [ OK ] ModulesTest.EmbeddingList (0 ms) 2025-12-04T09:24:20.4478497Z [ RUN ] ModulesTest.EmbeddingFromPretrained 2025-12-04T09:24:20.4484293Z [ OK ] ModulesTest.EmbeddingFromPretrained (0 ms) 2025-12-04T09:24:20.4484715Z [ RUN ] ModulesTest.EmbeddingBagFromPretrained 2025-12-04T09:24:20.4494756Z [ OK ] ModulesTest.EmbeddingBagFromPretrained (1 ms) 2025-12-04T09:24:20.4495195Z [ RUN ] ModulesTest.AlphaDropout 2025-12-04T09:24:20.4502312Z [ OK ] ModulesTest.AlphaDropout (0 ms) 2025-12-04T09:24:20.4502684Z [ RUN ] ModulesTest.FeatureAlphaDropout 2025-12-04T09:24:20.4509105Z [ OK ] ModulesTest.FeatureAlphaDropout (0 ms) 2025-12-04T09:24:20.4509471Z [ RUN ] ModulesTest.Dropout 2025-12-04T09:24:20.4518681Z [ OK ] ModulesTest.Dropout (0 ms) 2025-12-04T09:24:20.4519032Z [ RUN ] ModulesTest.Dropout2d 2025-12-04T09:24:20.4548664Z [ OK ] ModulesTest.Dropout2d (2 ms) 2025-12-04T09:24:20.4549004Z [ RUN ] ModulesTest.Dropout3d 2025-12-04T09:24:20.4590868Z [ OK ] ModulesTest.Dropout3d (4 ms) 2025-12-04T09:24:20.4591222Z [ RUN ] ModulesTest.Parameters 2025-12-04T09:24:20.4594052Z [ OK ] ModulesTest.Parameters (0 ms) 2025-12-04T09:24:20.4594506Z [ RUN ] ModulesTest.FunctionalCallsSuppliedFunction 2025-12-04T09:24:20.4595099Z [ OK ] ModulesTest.FunctionalCallsSuppliedFunction (0 ms) 2025-12-04T09:24:20.4595553Z [ RUN ] ModulesTest.FunctionalWithTorchFunction 2025-12-04T09:24:20.4596765Z [ OK ] ModulesTest.FunctionalWithTorchFunction (0 ms) 2025-12-04T09:24:20.4597279Z [ RUN ] ModulesTest.FunctionalArgumentBinding 2025-12-04T09:24:20.4597770Z [ OK ] ModulesTest.FunctionalArgumentBinding (0 ms) 2025-12-04T09:24:20.4598243Z [ RUN ] ModulesTest.BatchNorm1dStateful 2025-12-04T09:24:20.4598620Z [ OK ] ModulesTest.BatchNorm1dStateful (0 ms) 2025-12-04T09:24:20.4598989Z [ RUN ] ModulesTest.BatchNorm1dStateless 2025-12-04T09:24:20.4599366Z [ OK ] ModulesTest.BatchNorm1dStateless (0 ms) 2025-12-04T09:24:20.4599728Z [ RUN ] ModulesTest.BatchNorm1d 2025-12-04T09:24:20.4630910Z [ OK ] ModulesTest.BatchNorm1d (3 ms) 2025-12-04T09:24:20.4631315Z [ RUN ] ModulesTest.BatchNorm2dStateful 2025-12-04T09:24:20.4632040Z [ OK ] ModulesTest.BatchNorm2dStateful (0 ms) 2025-12-04T09:24:20.4632419Z [ RUN ] ModulesTest.BatchNorm2dStateless 2025-12-04T09:24:20.4632787Z [ OK ] ModulesTest.BatchNorm2dStateless (0 ms) 2025-12-04T09:24:20.4633155Z [ RUN ] ModulesTest.BatchNorm2d 2025-12-04T09:24:20.4649623Z [ OK ] ModulesTest.BatchNorm2d (1 ms) 2025-12-04T09:24:20.4650003Z [ RUN ] ModulesTest.BatchNorm3dStateful 2025-12-04T09:24:20.4651280Z [ OK ] ModulesTest.BatchNorm3dStateful (0 ms) 2025-12-04T09:24:20.4651661Z [ RUN ] ModulesTest.BatchNorm3dStateless 2025-12-04T09:24:20.4652044Z [ OK ] ModulesTest.BatchNorm3dStateless (0 ms) 2025-12-04T09:24:20.4652394Z [ RUN ] ModulesTest.BatchNorm3d 2025-12-04T09:24:20.4676603Z [ OK ] ModulesTest.BatchNorm3d (2 ms) 2025-12-04T09:24:20.4676989Z [ RUN ] ModulesTest.InstanceNorm1dStateful 2025-12-04T09:24:20.4678036Z [ OK ] ModulesTest.InstanceNorm1dStateful (0 ms) 2025-12-04T09:24:20.4678432Z [ RUN ] ModulesTest.InstanceNorm1dStateless 2025-12-04T09:24:20.4678832Z [ OK ] ModulesTest.InstanceNorm1dStateless (0 ms) 2025-12-04T09:24:20.4679209Z [ RUN ] ModulesTest.InstanceNorm1d 2025-12-04T09:24:20.4691789Z [ OK ] ModulesTest.InstanceNorm1d (1 ms) 2025-12-04T09:24:20.4692214Z [ RUN ] ModulesTest.InstanceNorm2dStateful 2025-12-04T09:24:20.4693332Z [ OK ] ModulesTest.InstanceNorm2dStateful (0 ms) 2025-12-04T09:24:20.4693741Z [ RUN ] ModulesTest.InstanceNorm2dStateless 2025-12-04T09:24:20.4694135Z [ OK ] ModulesTest.InstanceNorm2dStateless (0 ms) 2025-12-04T09:24:20.4694516Z [ RUN ] ModulesTest.InstanceNorm2d 2025-12-04T09:24:20.4711034Z [ OK ] ModulesTest.InstanceNorm2d (1 ms) 2025-12-04T09:24:20.4711424Z [ RUN ] ModulesTest.InstanceNorm3dStateful 2025-12-04T09:24:20.4712693Z [ OK ] ModulesTest.InstanceNorm3dStateful (0 ms) 2025-12-04T09:24:20.4713091Z [ RUN ] ModulesTest.InstanceNorm3dStateless 2025-12-04T09:24:20.4713493Z [ OK ] ModulesTest.InstanceNorm3dStateless (0 ms) 2025-12-04T09:24:20.4713856Z [ RUN ] ModulesTest.InstanceNorm3d 2025-12-04T09:24:20.4737500Z [ OK ] ModulesTest.InstanceNorm3d (2 ms) 2025-12-04T09:24:20.4737875Z [ RUN ] ModulesTest.L1Loss 2025-12-04T09:24:20.4746017Z [ OK ] ModulesTest.L1Loss (0 ms) 2025-12-04T09:24:20.4746348Z [ RUN ] ModulesTest.MSELoss 2025-12-04T09:24:20.4752029Z [ OK ] ModulesTest.MSELoss (0 ms) 2025-12-04T09:24:20.4752493Z [ RUN ] ModulesTest.BCELoss 2025-12-04T09:24:20.4759436Z [ OK ] ModulesTest.BCELoss (0 ms) 2025-12-04T09:24:20.4759773Z [ RUN ] ModulesTest.KLDivLoss 2025-12-04T09:24:20.4761920Z [W1204 09:24:20.148985389 loss.h:54] Warning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. (function kl_div) 2025-12-04T09:24:20.4767342Z [ OK ] ModulesTest.KLDivLoss (0 ms) 2025-12-04T09:24:20.4767687Z [ RUN ] ModulesTest.HingeEmbeddingLoss 2025-12-04T09:24:20.4784593Z [ OK ] ModulesTest.HingeEmbeddingLoss (1 ms) 2025-12-04T09:24:20.4785002Z [ RUN ] ModulesTest.MultiMarginLoss 2025-12-04T09:24:20.4794076Z [ OK ] ModulesTest.MultiMarginLoss (0 ms) 2025-12-04T09:24:20.4794468Z [ RUN ] ModulesTest.CosineEmbeddingLoss 2025-12-04T09:24:20.4821841Z [ OK ] ModulesTest.CosineEmbeddingLoss (2 ms) 2025-12-04T09:24:20.4822258Z [ RUN ] ModulesTest.SmoothL1LossDefaultOptions 2025-12-04T09:24:20.4831226Z [ OK ] ModulesTest.SmoothL1LossDefaultOptions (0 ms) 2025-12-04T09:24:20.4831656Z [ RUN ] ModulesTest.HuberLossDefaultOptions 2025-12-04T09:24:20.4840408Z [ OK ] ModulesTest.HuberLossDefaultOptions (0 ms) 2025-12-04T09:24:20.4840873Z [ RUN ] ModulesTest.MultiLabelMarginLossDefaultOptions 2025-12-04T09:24:20.4849767Z [ OK ] ModulesTest.MultiLabelMarginLossDefaultOptions (0 ms) 2025-12-04T09:24:20.4850231Z [ RUN ] ModulesTest.SmoothL1LossNoReduction 2025-12-04T09:24:20.4858308Z [ OK ] ModulesTest.SmoothL1LossNoReduction (0 ms) 2025-12-04T09:24:20.4858734Z [ RUN ] ModulesTest.HuberLossNoReduction 2025-12-04T09:24:20.4867090Z [ OK ] ModulesTest.HuberLossNoReduction (0 ms) 2025-12-04T09:24:20.4867528Z [ RUN ] ModulesTest.MultiLabelMarginLossNoReduction 2025-12-04T09:24:20.4876387Z [ OK ] ModulesTest.MultiLabelMarginLossNoReduction (0 ms) 2025-12-04T09:24:20.4876837Z [ RUN ] ModulesTest.SmoothL1LossBeta 2025-12-04T09:24:20.4885105Z [ OK ] ModulesTest.SmoothL1LossBeta (0 ms) 2025-12-04T09:24:20.4885490Z [ RUN ] ModulesTest.HuberLossDelta 2025-12-04T09:24:20.4893740Z [ OK ] ModulesTest.HuberLossDelta (0 ms) 2025-12-04T09:24:20.4894118Z [ RUN ] ModulesTest.TripletMarginLoss 2025-12-04T09:24:20.4913499Z [ OK ] ModulesTest.TripletMarginLoss (1 ms) 2025-12-04T09:24:20.4914001Z [ RUN ] ModulesTest.TripletMarginWithDistanceLossDefaultParity 2025-12-04T09:24:20.5999562Z [ OK ] ModulesTest.TripletMarginWithDistanceLossDefaultParity (108 ms) 2025-12-04T09:24:20.6000174Z [ RUN ] ModulesTest.TripletMarginWithDistanceLossFunctionalParity 2025-12-04T09:24:20.7615263Z [ OK ] ModulesTest.TripletMarginWithDistanceLossFunctionalParity (161 ms) 2025-12-04T09:24:20.7615776Z [ RUN ] ModulesTest.NLLLoss 2025-12-04T09:24:20.7631349Z [ OK ] ModulesTest.NLLLoss (1 ms) 2025-12-04T09:24:20.7631745Z [ RUN ] ModulesTest.CrossEntropyLoss 2025-12-04T09:24:20.7680745Z [ OK ] ModulesTest.CrossEntropyLoss (4 ms) 2025-12-04T09:24:20.7681138Z [ RUN ] ModulesTest.CosineSimilarity 2025-12-04T09:24:20.7699106Z [ OK ] ModulesTest.CosineSimilarity (1 ms) 2025-12-04T09:24:20.7699536Z [ RUN ] ModulesTest.SoftMarginLossDefaultOptions 2025-12-04T09:24:20.7710862Z [ OK ] ModulesTest.SoftMarginLossDefaultOptions (1 ms) 2025-12-04T09:24:20.7711386Z [ RUN ] ModulesTest.MultiLabelSoftMarginLossDefaultOptions 2025-12-04T09:24:20.7730351Z [ OK ] ModulesTest.MultiLabelSoftMarginLossDefaultOptions (1 ms) 2025-12-04T09:24:20.7730866Z [ RUN ] ModulesTest.SoftMarginLossNoReduction 2025-12-04T09:24:20.7740637Z [ OK ] ModulesTest.SoftMarginLossNoReduction (1 ms) 2025-12-04T09:24:20.7741383Z [ RUN ] ModulesTest.MultiLabelSoftMarginLossWeightedNoReduction 2025-12-04T09:24:20.7759391Z [ OK ] ModulesTest.MultiLabelSoftMarginLossWeightedNoReduction (1 ms) 2025-12-04T09:24:20.7760032Z [ RUN ] ModulesTest.PairwiseDistance 2025-12-04T09:24:20.7771915Z [ OK ] ModulesTest.PairwiseDistance (1 ms) 2025-12-04T09:24:20.7772272Z [ RUN ] ModulesTest.ELU 2025-12-04T09:24:20.7847431Z [ OK ] ModulesTest.ELU (7 ms) 2025-12-04T09:24:20.7847769Z [ RUN ] ModulesTest.SELU 2025-12-04T09:24:20.7866774Z [ OK ] ModulesTest.SELU (1 ms) 2025-12-04T09:24:20.7867119Z [ RUN ] ModulesTest.Hardshrink 2025-12-04T09:24:20.7933284Z [ OK ] ModulesTest.Hardshrink (6 ms) 2025-12-04T09:24:20.7933641Z [ RUN ] ModulesTest.Hardtanh 2025-12-04T09:24:20.8109549Z [ OK ] ModulesTest.Hardtanh (17 ms) 2025-12-04T09:24:20.8109933Z [ RUN ] ModulesTest.HardtanhMinValGEMaxVal 2025-12-04T09:24:20.8111901Z [ OK ] ModulesTest.HardtanhMinValGEMaxVal (0 ms) 2025-12-04T09:24:20.8112277Z [ RUN ] ModulesTest.LeakyReLU 2025-12-04T09:24:20.8200351Z [ OK ] ModulesTest.LeakyReLU (8 ms) 2025-12-04T09:24:20.8200734Z [ RUN ] ModulesTest.LogSigmoid 2025-12-04T09:24:20.8210785Z [ OK ] ModulesTest.LogSigmoid (1 ms) 2025-12-04T09:24:20.8211139Z [ RUN ] ModulesTest.Softmax 2025-12-04T09:24:20.8219872Z [ OK ] ModulesTest.Softmax (0 ms) 2025-12-04T09:24:20.8220226Z [ RUN ] ModulesTest.Softmin 2025-12-04T09:24:20.8229113Z [ OK ] ModulesTest.Softmin (0 ms) 2025-12-04T09:24:20.8229464Z [ RUN ] ModulesTest.LogSoftmax 2025-12-04T09:24:20.8238155Z [ OK ] ModulesTest.LogSoftmax (0 ms) 2025-12-04T09:24:20.8238554Z [ RUN ] ModulesTest.AdaptiveLogSoftmaxWithLoss 2025-12-04T09:24:20.8422103Z [ OK ] ModulesTest.AdaptiveLogSoftmaxWithLoss (18 ms) 2025-12-04T09:24:20.8422533Z [ RUN ] ModulesTest.Softmax2d 2025-12-04T09:24:20.8493378Z [ OK ] ModulesTest.Softmax2d (7 ms) 2025-12-04T09:24:20.8493763Z [ RUN ] ModulesTest.PReLU 2025-12-04T09:24:20.8747536Z [ OK ] ModulesTest.PReLU (25 ms) 2025-12-04T09:24:20.8747870Z [ RUN ] ModulesTest.ReLU 2025-12-04T09:24:20.8767326Z [ OK ] ModulesTest.ReLU (2 ms) 2025-12-04T09:24:20.8767662Z [ RUN ] ModulesTest.ReLU6 2025-12-04T09:24:20.8792306Z [ OK ] ModulesTest.ReLU6 (2 ms) 2025-12-04T09:24:20.8792650Z [ RUN ] ModulesTest.RReLU 2025-12-04T09:24:20.9079703Z [ OK ] ModulesTest.RReLU (28 ms) 2025-12-04T09:24:20.9080041Z [ RUN ] ModulesTest.CELU 2025-12-04T09:24:20.9171453Z [ OK ] ModulesTest.CELU (9 ms) 2025-12-04T09:24:20.9171792Z [ RUN ] ModulesTest.GLU 2025-12-04T09:24:20.9185929Z [ OK ] ModulesTest.GLU (1 ms) 2025-12-04T09:24:20.9186264Z [ RUN ] ModulesTest.GELU 2025-12-04T09:24:20.9195934Z [ OK ] ModulesTest.GELU (0 ms) 2025-12-04T09:24:20.9196264Z [ RUN ] ModulesTest.TanhGELU 2025-12-04T09:24:20.9202978Z [ OK ] ModulesTest.TanhGELU (0 ms) 2025-12-04T09:24:20.9203312Z [ RUN ] ModulesTest.Mish 2025-12-04T09:24:20.9209005Z [ OK ] ModulesTest.Mish (0 ms) 2025-12-04T09:24:20.9209306Z [ RUN ] ModulesTest.Sigmoid 2025-12-04T09:24:20.9215381Z [ OK ] ModulesTest.Sigmoid (0 ms) 2025-12-04T09:24:20.9215725Z [ RUN ] ModulesTest.PixelShuffle 2025-12-04T09:24:20.9224835Z [ OK ] ModulesTest.PixelShuffle (0 ms) 2025-12-04T09:24:20.9225226Z [ RUN ] ModulesTest.PixelUnshuffle 2025-12-04T09:24:20.9233939Z [ OK ] ModulesTest.PixelUnshuffle (0 ms) 2025-12-04T09:24:20.9234288Z [ RUN ] ModulesTest.Softplus 2025-12-04T09:24:20.9285506Z [ OK ] ModulesTest.Softplus (5 ms) 2025-12-04T09:24:20.9285848Z [ RUN ] ModulesTest.Softshrink 2025-12-04T09:24:20.9335793Z [ OK ] ModulesTest.Softshrink (4 ms) 2025-12-04T09:24:20.9336114Z [ RUN ] ModulesTest.Softsign 2025-12-04T09:24:20.9341227Z [ OK ] ModulesTest.Softsign (0 ms) 2025-12-04T09:24:20.9341552Z [ RUN ] ModulesTest.Tanh 2025-12-04T09:24:20.9348158Z [ OK ] ModulesTest.Tanh (0 ms) 2025-12-04T09:24:20.9348710Z [ RUN ] ModulesTest.Tanhshrink 2025-12-04T09:24:20.9353363Z [ OK ] ModulesTest.Tanhshrink (0 ms) 2025-12-04T09:24:20.9353832Z [ RUN ] ModulesTest.Threshold 2025-12-04T09:24:20.9460680Z [ OK ] ModulesTest.Threshold (10 ms) 2025-12-04T09:24:20.9461026Z [ RUN ] ModulesTest.Upsampling1D 2025-12-04T09:24:20.9490378Z [W1204 09:24:20.621758047 upsampling.h:61] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2025-12-04T09:24:20.9509189Z [W1204 09:24:20.623662312 upsampling.h:61] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2025-12-04T09:24:20.9519680Z [W1204 09:24:20.624711240 upsampling.h:61] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2025-12-04T09:24:20.9524452Z [W1204 09:24:20.625209864 upsampling.h:61] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2025-12-04T09:24:20.9539116Z [ OK ] ModulesTest.Upsampling1D (7 ms) 2025-12-04T09:24:20.9539478Z [ RUN ] ModulesTest.Upsampling2D 2025-12-04T09:24:20.9560463Z [W1204 09:24:20.628801297 upsampling.h:61] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2025-12-04T09:24:20.9568458Z [W1204 09:24:20.629605825 upsampling.h:61] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2025-12-04T09:24:20.9578434Z [W1204 09:24:20.630601273 upsampling.h:61] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2025-12-04T09:24:20.9582968Z [W1204 09:24:20.631061808 upsampling.h:61] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2025-12-04T09:24:20.9592653Z [W1204 09:24:20.632012320 upsampling.h:61] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2025-12-04T09:24:20.9602089Z [W1204 09:24:20.632974960 upsampling.h:61] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2025-12-04T09:24:20.9613988Z [W1204 09:24:20.634166762 upsampling.h:61] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2025-12-04T09:24:20.9619619Z [W1204 09:24:20.634732106 upsampling.h:61] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2025-12-04T09:24:20.9629502Z [ OK ] ModulesTest.Upsampling2D (9 ms) 2025-12-04T09:24:20.9629882Z [ RUN ] ModulesTest.Upsampling3D 2025-12-04T09:24:20.9641130Z [W1204 09:24:20.636875720 upsampling.h:61] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2025-12-04T09:24:20.9650075Z [W1204 09:24:20.637774844 upsampling.h:61] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2025-12-04T09:24:20.9662167Z [W1204 09:24:20.638981857 upsampling.h:61] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2025-12-04T09:24:20.9667873Z [W1204 09:24:20.639554266 upsampling.h:61] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2025-12-04T09:24:20.9678072Z [ OK ] ModulesTest.Upsampling3D (4 ms) 2025-12-04T09:24:20.9678425Z [ RUN ] ModulesTest.CTCLoss 2025-12-04T09:24:20.9688557Z [ OK ] ModulesTest.CTCLoss (1 ms) 2025-12-04T09:24:20.9688901Z [ RUN ] ModulesTest.PoissonNLLLoss 2025-12-04T09:24:20.9704466Z [ OK ] ModulesTest.PoissonNLLLoss (1 ms) 2025-12-04T09:24:20.9704983Z [ RUN ] ModulesTest.MarginRankingLoss 2025-12-04T09:24:20.9729625Z [ OK ] ModulesTest.MarginRankingLoss (2 ms) 2025-12-04T09:24:20.9730006Z [ RUN ] ModulesTest.BCEWithLogitsLoss 2025-12-04T09:24:20.9831615Z [ OK ] ModulesTest.BCEWithLogitsLoss (10 ms) 2025-12-04T09:24:20.9831983Z [ RUN ] ModulesTest.MultiheadAttention 2025-12-04T09:25:24.9864381Z [ OK ] ModulesTest.MultiheadAttention (64003 ms) 2025-12-04T09:25:24.9866030Z [ RUN ] ModulesTest.PrettyPrintIdentity 2025-12-04T09:25:24.9866473Z [ OK ] ModulesTest.PrettyPrintIdentity (0 ms) 2025-12-04T09:25:24.9866855Z [ RUN ] ModulesTest.PrettyPrintFlatten 2025-12-04T09:25:24.9867243Z [ OK ] ModulesTest.PrettyPrintFlatten (0 ms) 2025-12-04T09:25:24.9867632Z [ RUN ] ModulesTest.PrettyPrintUnflatten 2025-12-04T09:25:24.9868092Z [ OK ] ModulesTest.PrettyPrintUnflatten (0 ms) 2025-12-04T09:25:24.9868457Z [ RUN ] ModulesTest.ReflectionPad1d 2025-12-04T09:25:24.9886051Z [ OK ] ModulesTest.ReflectionPad1d (2 ms) 2025-12-04T09:25:24.9886487Z [ RUN ] ModulesTest.ReflectionPad2d 2025-12-04T09:25:24.9902243Z [ OK ] ModulesTest.ReflectionPad2d (1 ms) 2025-12-04T09:25:24.9902638Z [ RUN ] ModulesTest.ReflectionPad3d 2025-12-04T09:25:24.9925546Z [ OK ] ModulesTest.ReflectionPad3d (2 ms) 2025-12-04T09:25:24.9925948Z [ RUN ] ModulesTest.ReplicationPad1d 2025-12-04T09:25:24.9938024Z [ OK ] ModulesTest.ReplicationPad1d (1 ms) 2025-12-04T09:25:24.9938401Z [ RUN ] ModulesTest.ReplicationPad2d 2025-12-04T09:25:24.9954861Z [ OK ] ModulesTest.ReplicationPad2d (1 ms) 2025-12-04T09:25:24.9955228Z [ RUN ] ModulesTest.ReplicationPad3d 2025-12-04T09:25:24.9983002Z [ OK ] ModulesTest.ReplicationPad3d (2 ms) 2025-12-04T09:25:24.9983436Z [ RUN ] ModulesTest.ZeroPad1d 2025-12-04T09:25:24.9995380Z [ OK ] ModulesTest.ZeroPad1d (1 ms) 2025-12-04T09:25:24.9995710Z [ RUN ] ModulesTest.ZeroPad2d 2025-12-04T09:25:25.0011810Z [ OK ] ModulesTest.ZeroPad2d (1 ms) 2025-12-04T09:25:25.0012169Z [ RUN ] ModulesTest.ZeroPad3d 2025-12-04T09:25:25.0040495Z [ OK ] ModulesTest.ZeroPad3d (2 ms) 2025-12-04T09:25:25.0040854Z [ RUN ] ModulesTest.ConstantPad1d 2025-12-04T09:25:25.0052555Z [ OK ] ModulesTest.ConstantPad1d (1 ms) 2025-12-04T09:25:25.0052912Z [ RUN ] ModulesTest.ConstantPad2d 2025-12-04T09:25:25.0068368Z [ OK ] ModulesTest.ConstantPad2d (1 ms) 2025-12-04T09:25:25.0068730Z [ RUN ] ModulesTest.ConstantPad3d 2025-12-04T09:25:25.0097309Z [ OK ] ModulesTest.ConstantPad3d (2 ms) 2025-12-04T09:25:25.0097654Z [ RUN ] ModulesTest.CrossMapLRN2d 2025-12-04T09:25:25.0172968Z [ OK ] ModulesTest.CrossMapLRN2d (7 ms) 2025-12-04T09:25:25.0173332Z [ RUN ] ModulesTest.RNNCell 2025-12-04T09:25:25.0213261Z [ OK ] ModulesTest.RNNCell (4 ms) 2025-12-04T09:25:25.0213579Z [ RUN ] ModulesTest.LSTMCell 2025-12-04T09:25:25.0271503Z [ OK ] ModulesTest.LSTMCell (5 ms) 2025-12-04T09:25:25.0271864Z [ RUN ] ModulesTest.GRUCell 2025-12-04T09:25:25.0323101Z [ OK ] ModulesTest.GRUCell (5 ms) 2025-12-04T09:25:25.0323455Z [ RUN ] ModulesTest.PrettyPrintLinear 2025-12-04T09:25:25.0324142Z [ OK ] ModulesTest.PrettyPrintLinear (0 ms) 2025-12-04T09:25:25.0324533Z [ RUN ] ModulesTest.PrettyPrintBilinear 2025-12-04T09:25:25.0325368Z [ OK ] ModulesTest.PrettyPrintBilinear (0 ms) 2025-12-04T09:25:25.0325772Z [ RUN ] ModulesTest.PrettyPrintConv 2025-12-04T09:25:25.0355256Z [ OK ] ModulesTest.PrettyPrintConv (2 ms) 2025-12-04T09:25:25.0355630Z [ RUN ] ModulesTest.PrettyPrintConvTranspose 2025-12-04T09:25:25.0370978Z [ OK ] ModulesTest.PrettyPrintConvTranspose (1 ms) 2025-12-04T09:25:25.0371401Z [ RUN ] ModulesTest.PrettyPrintUpsample 2025-12-04T09:25:25.0371882Z [ OK ] ModulesTest.PrettyPrintUpsample (0 ms) 2025-12-04T09:25:25.0372301Z [ RUN ] ModulesTest.PrettyPrintFold 2025-12-04T09:25:25.0372666Z [ OK ] ModulesTest.PrettyPrintFold (0 ms) 2025-12-04T09:25:25.0373313Z [ RUN ] ModulesTest.PrettyPrintUnfold 2025-12-04T09:25:25.0373785Z [ OK ] ModulesTest.PrettyPrintUnfold (0 ms) 2025-12-04T09:25:25.0374278Z [ RUN ] ModulesTest.PrettyPrintMaxPool 2025-12-04T09:25:25.0374755Z [ OK ] ModulesTest.PrettyPrintMaxPool (0 ms) 2025-12-04T09:25:25.0375168Z [ RUN ] ModulesTest.PrettyPrintAvgPool 2025-12-04T09:25:25.0375541Z [ OK ] ModulesTest.PrettyPrintAvgPool (0 ms) 2025-12-04T09:25:25.0375947Z [ RUN ] ModulesTest.PrettyPrinFractionalMaxPool 2025-12-04T09:25:25.0376474Z [ OK ] ModulesTest.PrettyPrinFractionalMaxPool (0 ms) 2025-12-04T09:25:25.0376876Z [ RUN ] ModulesTest.PrettyPrintLPPool 2025-12-04T09:25:25.0377248Z [ OK ] ModulesTest.PrettyPrintLPPool (0 ms) 2025-12-04T09:25:25.0377722Z [ RUN ] ModulesTest.PrettyPrintAdaptiveMaxPool 2025-12-04T09:25:25.0378152Z [ OK ] ModulesTest.PrettyPrintAdaptiveMaxPool (0 ms) 2025-12-04T09:25:25.0378580Z [ RUN ] ModulesTest.PrettyPrintAdaptiveAvgPool 2025-12-04T09:25:25.0379096Z [ OK ] ModulesTest.PrettyPrintAdaptiveAvgPool (0 ms) 2025-12-04T09:25:25.0379516Z [ RUN ] ModulesTest.PrettyPrintMaxUnpool 2025-12-04T09:25:25.0380007Z [ OK ] ModulesTest.PrettyPrintMaxUnpool (0 ms) 2025-12-04T09:25:25.0380394Z [ RUN ] ModulesTest.PrettyPrintDropout 2025-12-04T09:25:25.0380810Z [ OK ] ModulesTest.PrettyPrintDropout (0 ms) 2025-12-04T09:25:25.0381180Z [ RUN ] ModulesTest.PrettyPrintDropout2d 2025-12-04T09:25:25.0381660Z [ OK ] ModulesTest.PrettyPrintDropout2d (0 ms) 2025-12-04T09:25:25.0382047Z [ RUN ] ModulesTest.PrettyPrintDropout3d 2025-12-04T09:25:25.0382432Z [ OK ] ModulesTest.PrettyPrintDropout3d (0 ms) 2025-12-04T09:25:25.0382902Z [ RUN ] ModulesTest.PrettyPrintFunctional 2025-12-04T09:25:25.0383350Z [ OK ] ModulesTest.PrettyPrintFunctional (0 ms) 2025-12-04T09:25:25.0383820Z [ RUN ] ModulesTest.PrettyPrintBatchNorm1d 2025-12-04T09:25:25.0384210Z [ OK ] ModulesTest.PrettyPrintBatchNorm1d (0 ms) 2025-12-04T09:25:25.0384612Z [ RUN ] ModulesTest.PrettyPrintBatchNorm2d 2025-12-04T09:25:25.0385102Z [ OK ] ModulesTest.PrettyPrintBatchNorm2d (0 ms) 2025-12-04T09:25:25.0385500Z [ RUN ] ModulesTest.PrettyPrintBatchNorm3d 2025-12-04T09:25:25.0385978Z [ OK ] ModulesTest.PrettyPrintBatchNorm3d (0 ms) 2025-12-04T09:25:25.0386387Z [ RUN ] ModulesTest.PrettyPrintInstanceNorm1d 2025-12-04T09:25:25.0386843Z [ OK ] ModulesTest.PrettyPrintInstanceNorm1d (0 ms) 2025-12-04T09:25:25.0387246Z [ RUN ] ModulesTest.PrettyPrintInstanceNorm2d 2025-12-04T09:25:25.0387753Z [ OK ] ModulesTest.PrettyPrintInstanceNorm2d (0 ms) 2025-12-04T09:25:25.0388164Z [ RUN ] ModulesTest.PrettyPrintInstanceNorm3d 2025-12-04T09:25:25.0388575Z [ OK ] ModulesTest.PrettyPrintInstanceNorm3d (0 ms) 2025-12-04T09:25:25.0389062Z [ RUN ] ModulesTest.PrettyPrintLayerNorm 2025-12-04T09:25:25.0389446Z [ OK ] ModulesTest.PrettyPrintLayerNorm (0 ms) 2025-12-04T09:25:25.0389847Z [ RUN ] ModulesTest.PrettyPrintGroupNorm 2025-12-04T09:25:25.0390319Z [ OK ] ModulesTest.PrettyPrintGroupNorm (0 ms) 2025-12-04T09:25:25.0390764Z [ RUN ] ModulesTest.PrettyPrintLocalResponseNorm 2025-12-04T09:25:25.0391209Z [ OK ] ModulesTest.PrettyPrintLocalResponseNorm (0 ms) 2025-12-04T09:25:25.0391629Z [ RUN ] ModulesTest.PrettyPrintEmbedding 2025-12-04T09:25:25.0392654Z [ OK ] ModulesTest.PrettyPrintEmbedding (0 ms) 2025-12-04T09:25:25.0393057Z [ RUN ] ModulesTest.PrettyPrintEmbeddingBag 2025-12-04T09:25:25.0395277Z [ OK ] ModulesTest.PrettyPrintEmbeddingBag (0 ms) 2025-12-04T09:25:25.0395730Z [ RUN ] ModulesTest.PrettyPrintL1Loss 2025-12-04T09:25:25.0396165Z [ OK ] ModulesTest.PrettyPrintL1Loss (0 ms) 2025-12-04T09:25:25.0396593Z [ RUN ] ModulesTest.PrettyPrintKLDivLoss 2025-12-04T09:25:25.0397014Z [ OK ] ModulesTest.PrettyPrintKLDivLoss (0 ms) 2025-12-04T09:25:25.0397461Z [ RUN ] ModulesTest.PrettyPrintMSELoss 2025-12-04T09:25:25.0397963Z [ OK ] ModulesTest.PrettyPrintMSELoss (0 ms) 2025-12-04T09:25:25.0398402Z [ RUN ] ModulesTest.PrettyPrintBCELoss 2025-12-04T09:25:25.0398802Z [ OK ] ModulesTest.PrettyPrintBCELoss (0 ms) 2025-12-04T09:25:25.0399399Z [ RUN ] ModulesTest.PrettyPrintHingeEmbeddingLoss 2025-12-04T09:25:25.0399847Z [ OK ] ModulesTest.PrettyPrintHingeEmbeddingLoss (0 ms) 2025-12-04T09:25:25.0400382Z [ RUN ] ModulesTest.PrettyPrintCosineEmbeddingLoss 2025-12-04T09:25:25.0400839Z [ OK ] ModulesTest.PrettyPrintCosineEmbeddingLoss (0 ms) 2025-12-04T09:25:25.0401334Z [ RUN ] ModulesTest.PrettyPrintTripletMarginLoss 2025-12-04T09:25:25.0401779Z [ OK ] ModulesTest.PrettyPrintTripletMarginLoss (0 ms) 2025-12-04T09:25:25.0402313Z [ RUN ] ModulesTest.PrettyPrintTripletMarginWithDistanceLoss 2025-12-04T09:25:25.0402880Z [ OK ] ModulesTest.PrettyPrintTripletMarginWithDistanceLoss (0 ms) 2025-12-04T09:25:25.0403460Z [ RUN ] ModulesTest.PrettyPrintNLLLoss 2025-12-04T09:25:25.0403839Z [ OK ] ModulesTest.PrettyPrintNLLLoss (0 ms) 2025-12-04T09:25:25.0404283Z [ RUN ] ModulesTest.PrettyPrinCrossEntropyLoss 2025-12-04T09:25:25.0404709Z [ OK ] ModulesTest.PrettyPrinCrossEntropyLoss (0 ms) 2025-12-04T09:25:25.0405157Z [ RUN ] ModulesTest.PrettyPrintMultiLabelMarginLoss 2025-12-04T09:25:25.0405604Z [ OK ] ModulesTest.PrettyPrintMultiLabelMarginLoss (0 ms) 2025-12-04T09:25:25.0406083Z [ RUN ] ModulesTest.PrettyPrintMultiLabelSoftMarginLoss 2025-12-04T09:25:25.0406638Z [ OK ] ModulesTest.PrettyPrintMultiLabelSoftMarginLoss (0 ms) 2025-12-04T09:25:25.0407137Z [ RUN ] ModulesTest.PrettyPrintSoftMarginLoss 2025-12-04T09:25:25.0407544Z [ OK ] ModulesTest.PrettyPrintSoftMarginLoss (0 ms) 2025-12-04T09:25:25.0408026Z [ RUN ] ModulesTest.PrettyPrintCosineSimilarity 2025-12-04T09:25:25.0408490Z [ OK ] ModulesTest.PrettyPrintCosineSimilarity (0 ms) 2025-12-04T09:25:25.0408940Z [ RUN ] ModulesTest.PrettyPrintPairwiseDistance 2025-12-04T09:25:25.0409418Z [ OK ] ModulesTest.PrettyPrintPairwiseDistance (0 ms) 2025-12-04T09:25:25.0409846Z [ RUN ] ModulesTest.PrettyPrintReflectionPad 2025-12-04T09:25:25.0410339Z [ OK ] ModulesTest.PrettyPrintReflectionPad (0 ms) 2025-12-04T09:25:25.0410817Z [ RUN ] ModulesTest.PrettyPrintReplicationPad 2025-12-04T09:25:25.0411280Z [ OK ] ModulesTest.PrettyPrintReplicationPad (0 ms) 2025-12-04T09:25:25.0411681Z [ RUN ] ModulesTest.PrettyPrintZeroPad 2025-12-04T09:25:25.0412052Z [ OK ] ModulesTest.PrettyPrintZeroPad (0 ms) 2025-12-04T09:25:25.0412536Z [ RUN ] ModulesTest.PrettyPrintConstantPad 2025-12-04T09:25:25.0412977Z [ OK ] ModulesTest.PrettyPrintConstantPad (0 ms) 2025-12-04T09:25:25.0413404Z [ RUN ] ModulesTest.PrettyPrintNestedModel 2025-12-04T09:25:25.0413839Z [ OK ] ModulesTest.PrettyPrintNestedModel (0 ms) 2025-12-04T09:25:25.0414252Z [ RUN ] ModulesTest.PrettyPrintELU 2025-12-04T09:25:25.0414645Z [ OK ] ModulesTest.PrettyPrintELU (0 ms) 2025-12-04T09:25:25.0415068Z [ RUN ] ModulesTest.PrettyPrintSELU 2025-12-04T09:25:25.0415426Z [ OK ] ModulesTest.PrettyPrintSELU (0 ms) 2025-12-04T09:25:25.0415829Z [ RUN ] ModulesTest.PrettyPrintGLU 2025-12-04T09:25:25.0416204Z [ OK ] ModulesTest.PrettyPrintGLU (0 ms) 2025-12-04T09:25:25.0416613Z [ RUN ] ModulesTest.PrettyPrintHardshrink 2025-12-04T09:25:25.0417068Z [ OK ] ModulesTest.PrettyPrintHardshrink (0 ms) 2025-12-04T09:25:25.0417481Z [ RUN ] ModulesTest.PrettyPrintHardtanh 2025-12-04T09:25:25.0417895Z [ OK ] ModulesTest.PrettyPrintHardtanh (0 ms) 2025-12-04T09:25:25.0418321Z [ RUN ] ModulesTest.PrettyPrintLeakyReLU 2025-12-04T09:25:25.0418732Z [ OK ] ModulesTest.PrettyPrintLeakyReLU (0 ms) 2025-12-04T09:25:25.0419163Z [ RUN ] ModulesTest.PrettyPrintLogSigmoid 2025-12-04T09:25:25.0419596Z [ OK ] ModulesTest.PrettyPrintLogSigmoid (0 ms) 2025-12-04T09:25:25.0419995Z [ RUN ] ModulesTest.PrettyPrintSoftmax 2025-12-04T09:25:25.0420490Z [ OK ] ModulesTest.PrettyPrintSoftmax (0 ms) 2025-12-04T09:25:25.0420871Z [ RUN ] ModulesTest.PrettyPrintSoftmin 2025-12-04T09:25:25.0421320Z [ OK ] ModulesTest.PrettyPrintSoftmin (0 ms) 2025-12-04T09:25:25.0421767Z [ RUN ] ModulesTest.PrettyPrintLogSoftmax 2025-12-04T09:25:25.0422167Z [ OK ] ModulesTest.PrettyPrintLogSoftmax (0 ms) 2025-12-04T09:25:25.0422563Z [ RUN ] ModulesTest.PrettyPrintSoftmax2d 2025-12-04T09:25:25.0422935Z [ OK ] ModulesTest.PrettyPrintSoftmax2d (0 ms) 2025-12-04T09:25:25.0423378Z [ RUN ] ModulesTest.PrettyPrintPReLU 2025-12-04T09:25:25.0423768Z [ OK ] ModulesTest.PrettyPrintPReLU (0 ms) 2025-12-04T09:25:25.0424133Z [ RUN ] ModulesTest.PrettyPrintReLU 2025-12-04T09:25:25.0424478Z [ OK ] ModulesTest.PrettyPrintReLU (0 ms) 2025-12-04T09:25:25.0424844Z [ RUN ] ModulesTest.PrettyPrintReLU6 2025-12-04T09:25:25.0425207Z [ OK ] ModulesTest.PrettyPrintReLU6 (0 ms) 2025-12-04T09:25:25.0425669Z [ RUN ] ModulesTest.PrettyPrintRReLU 2025-12-04T09:25:25.0426042Z [ OK ] ModulesTest.PrettyPrintRReLU (0 ms) 2025-12-04T09:25:25.0426399Z [ RUN ] ModulesTest.PrettyPrintCELU 2025-12-04T09:25:25.0426752Z [ OK ] ModulesTest.PrettyPrintCELU (0 ms) 2025-12-04T09:25:25.0427104Z [ RUN ] ModulesTest.PrettyPrintSigmoid 2025-12-04T09:25:25.0427472Z [ OK ] ModulesTest.PrettyPrintSigmoid (0 ms) 2025-12-04T09:25:25.0427860Z [ RUN ] ModulesTest.PrettyPrintPixelShuffle 2025-12-04T09:25:25.0428252Z [ OK ] ModulesTest.PrettyPrintPixelShuffle (0 ms) 2025-12-04T09:25:25.0428659Z [ RUN ] ModulesTest.PrettyPrintPixelUnshuffle 2025-12-04T09:25:25.0429074Z [ OK ] ModulesTest.PrettyPrintPixelUnshuffle (0 ms) 2025-12-04T09:25:25.0429463Z [ RUN ] ModulesTest.PrettyPrintSoftplus 2025-12-04T09:25:25.0429900Z [ OK ] ModulesTest.PrettyPrintSoftplus (0 ms) 2025-12-04T09:25:25.0430291Z [ RUN ] ModulesTest.PrettyPrintSoftshrink 2025-12-04T09:25:25.0430684Z [ OK ] ModulesTest.PrettyPrintSoftshrink (0 ms) 2025-12-04T09:25:25.0431069Z [ RUN ] ModulesTest.PrettyPrintSoftsign 2025-12-04T09:25:25.0431446Z [ OK ] ModulesTest.PrettyPrintSoftsign (0 ms) 2025-12-04T09:25:25.0431820Z [ RUN ] ModulesTest.PrettyPrintTanh 2025-12-04T09:25:25.0432165Z [ OK ] ModulesTest.PrettyPrintTanh (0 ms) 2025-12-04T09:25:25.0432543Z [ RUN ] ModulesTest.PrettyPrintTanhshrink 2025-12-04T09:25:25.0432934Z [ OK ] ModulesTest.PrettyPrintTanhshrink (0 ms) 2025-12-04T09:25:25.0433371Z [ RUN ] ModulesTest.PrettyPrintThreshold 2025-12-04T09:25:25.0433753Z [ OK ] ModulesTest.PrettyPrintThreshold (0 ms) 2025-12-04T09:25:25.0434132Z [ RUN ] ModulesTest.PrettyPrintCTCLoss 2025-12-04T09:25:25.0434503Z [ OK ] ModulesTest.PrettyPrintCTCLoss (0 ms) 2025-12-04T09:25:25.0434883Z [ RUN ] ModulesTest.PrettyPrintPoissonNLLLoss 2025-12-04T09:25:25.0435299Z [ OK ] ModulesTest.PrettyPrintPoissonNLLLoss (0 ms) 2025-12-04T09:25:25.0435728Z [ RUN ] ModulesTest.PrettyPrintMarginRankingLoss 2025-12-04T09:25:25.0436156Z [ OK ] ModulesTest.PrettyPrintMarginRankingLoss (0 ms) 2025-12-04T09:25:25.0436639Z [ RUN ] ModulesTest.PrettyPrintCrossMapLRN2d 2025-12-04T09:25:25.0437060Z [ OK ] ModulesTest.PrettyPrintCrossMapLRN2d (0 ms) 2025-12-04T09:25:25.0437454Z [ RUN ] ModulesTest.PrettyPrintAlphaDropout 2025-12-04T09:25:25.0437860Z [ OK ] ModulesTest.PrettyPrintAlphaDropout (0 ms) 2025-12-04T09:25:25.0438281Z [ RUN ] ModulesTest.PrettyPrintFeatureAlphaDropout 2025-12-04T09:25:25.0438735Z [ OK ] ModulesTest.PrettyPrintFeatureAlphaDropout (0 ms) 2025-12-04T09:25:25.0439172Z [ RUN ] ModulesTest.PrettyPrintBCEWithLogitsLoss 2025-12-04T09:25:25.0439605Z [ OK ] ModulesTest.PrettyPrintBCEWithLogitsLoss (0 ms) 2025-12-04T09:25:25.0440046Z [ RUN ] ModulesTest.PrettyPrintMultiheadAttention 2025-12-04T09:25:25.0440549Z [ OK ] ModulesTest.PrettyPrintMultiheadAttention (0 ms) 2025-12-04T09:25:25.0441024Z [ RUN ] ModulesTest.PrettyPrintRNNCell 2025-12-04T09:25:25.0441497Z [ OK ] ModulesTest.PrettyPrintRNNCell (0 ms) 2025-12-04T09:25:25.0441868Z [ RUN ] ModulesTest.PrettyPrintLSTMCell 2025-12-04T09:25:25.0442324Z [ OK ] ModulesTest.PrettyPrintLSTMCell (0 ms) 2025-12-04T09:25:25.0442703Z [ RUN ] ModulesTest.PrettyPrintGRUCell 2025-12-04T09:25:25.0443133Z [ OK ] ModulesTest.PrettyPrintGRUCell (0 ms) 2025-12-04T09:25:25.0443560Z [ RUN ] ModulesTest.PrettyPrintAdaptiveLogSoftmaxWithLoss 2025-12-04T09:25:25.0444090Z [ OK ] ModulesTest.PrettyPrintAdaptiveLogSoftmaxWithLoss (0 ms) 2025-12-04T09:25:25.0444569Z [----------] 260 tests from ModulesTest (65038 ms total) 2025-12-04T09:25:25.0444817Z 2025-12-04T09:25:25.0444933Z [----------] 1 test from NestedTest 2025-12-04T09:25:25.0445226Z [ RUN ] NestedTest.Nested 2025-12-04T09:25:25.0446768Z [W1204 09:25:25.717241231 NestedTensorImpl.cpp:182] Warning: 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. (function operator()) 2025-12-04T09:25:25.0448502Z [ OK ] NestedTest.Nested (0 ms) 2025-12-04T09:25:25.0448845Z [----------] 1 test from NestedTest (0 ms total) 2025-12-04T09:25:25.0449078Z 2025-12-04T09:25:25.0449198Z [----------] 10 tests from ParameterDictTest 2025-12-04T09:25:25.0449570Z [ RUN ] ParameterDictTest.ConstructFromTensor 2025-12-04T09:25:25.0450078Z [ OK ] ParameterDictTest.ConstructFromTensor (0 ms) 2025-12-04T09:25:25.0450500Z [ RUN ] ParameterDictTest.ConstructFromOrderedDict 2025-12-04T09:25:25.0452054Z [ OK ] ParameterDictTest.ConstructFromOrderedDict (0 ms) 2025-12-04T09:25:25.0452561Z [ RUN ] ParameterDictTest.InsertAndContains 2025-12-04T09:25:25.0453020Z [ OK ] ParameterDictTest.InsertAndContains (0 ms) 2025-12-04T09:25:25.0453448Z [ RUN ] ParameterDictTest.InsertAndClear 2025-12-04T09:25:25.0453843Z [ OK ] ParameterDictTest.InsertAndClear (0 ms) 2025-12-04T09:25:25.0454228Z [ RUN ] ParameterDictTest.InsertAndPop 2025-12-04T09:25:25.0454972Z [ OK ] ParameterDictTest.InsertAndPop (0 ms) 2025-12-04T09:25:25.0455353Z [ RUN ] ParameterDictTest.SimpleUpdate 2025-12-04T09:25:25.0457444Z [ OK ] ParameterDictTest.SimpleUpdate (0 ms) 2025-12-04T09:25:25.0457848Z [ RUN ] ParameterDictTest.Keys 2025-12-04T09:25:25.0458593Z [ OK ] ParameterDictTest.Keys (0 ms) 2025-12-04T09:25:25.0458937Z [ RUN ] ParameterDictTest.Values 2025-12-04T09:25:25.0460562Z [ OK ] ParameterDictTest.Values (0 ms) 2025-12-04T09:25:25.0460890Z [ RUN ] ParameterDictTest.Get 2025-12-04T09:25:25.0462212Z [ OK ] ParameterDictTest.Get (0 ms) 2025-12-04T09:25:25.0462604Z [ RUN ] ParameterDictTest.PrettyPrintParameterDict 2025-12-04T09:25:25.0464777Z [ OK ] ParameterDictTest.PrettyPrintParameterDict (0 ms) 2025-12-04T09:25:25.0465227Z [----------] 10 tests from ParameterDictTest (1 ms total) 2025-12-04T09:25:25.0465499Z 2025-12-04T09:25:25.0465695Z [----------] 8 tests from ParameterListTest 2025-12-04T09:25:25.0466178Z [ RUN ] ParameterListTest.ConstructsFromSharedPointer 2025-12-04T09:25:25.0466677Z [ OK ] ParameterListTest.ConstructsFromSharedPointer (0 ms) 2025-12-04T09:25:25.0467195Z [ RUN ] ParameterListTest.isEmpty 2025-12-04T09:25:25.0467547Z [ OK ] ParameterListTest.isEmpty (0 ms) 2025-12-04T09:25:25.0467939Z [ RUN ] ParameterListTest.PushBackAddsAnElement 2025-12-04T09:25:25.0468361Z [ OK ] ParameterListTest.PushBackAddsAnElement (0 ms) 2025-12-04T09:25:25.0468773Z [ RUN ] ParameterListTest.ForEachLoop 2025-12-04T09:25:25.0469212Z [ OK ] ParameterListTest.ForEachLoop (0 ms) 2025-12-04T09:25:25.0469590Z [ RUN ] ParameterListTest.AccessWithAt 2025-12-04T09:25:25.0473739Z [ OK ] ParameterListTest.AccessWithAt (0 ms) 2025-12-04T09:25:25.0474259Z [ RUN ] ParameterListTest.ExtendPushesParametersFromOtherParameterList 2025-12-04T09:25:25.0480448Z [ OK ] ParameterListTest.ExtendPushesParametersFromOtherParameterList (0 ms) 2025-12-04T09:25:25.0481021Z [ RUN ] ParameterListTest.PrettyPrintParameterList 2025-12-04T09:25:25.0481675Z [ OK ] ParameterListTest.PrettyPrintParameterList (0 ms) 2025-12-04T09:25:25.0482105Z [ RUN ] ParameterListTest.IncrementAdd 2025-12-04T09:25:25.0486764Z [ OK ] ParameterListTest.IncrementAdd (0 ms) 2025-12-04T09:25:25.0487220Z [----------] 8 tests from ParameterListTest (2 ms total) 2025-12-04T09:25:25.0487488Z 2025-12-04T09:25:25.0487595Z [----------] 1 test from NamespaceTests 2025-12-04T09:25:25.0488044Z [ RUN ] NamespaceTests.NotLeakingSymbolsFromTorchAutogradNamespace 2025-12-04T09:25:25.0488668Z [ OK ] NamespaceTests.NotLeakingSymbolsFromTorchAutogradNamespace (0 ms) 2025-12-04T09:25:25.0489175Z [----------] 1 test from NamespaceTests (0 ms total) 2025-12-04T09:25:25.0489429Z 2025-12-04T09:25:25.0489533Z [----------] 7 tests from NNUtilsTest 2025-12-04T09:25:25.0489857Z [ RUN ] NNUtilsTest.ClipGradNorm 2025-12-04T09:25:25.0602026Z [ OK ] NNUtilsTest.ClipGradNorm (11 ms) 2025-12-04T09:25:25.0602431Z [ RUN ] NNUtilsTest.ClipGradNormErrorIfNonfinite 2025-12-04T09:25:25.4021019Z [ OK ] NNUtilsTest.ClipGradNormErrorIfNonfinite (341 ms) 2025-12-04T09:25:25.4021464Z [ RUN ] NNUtilsTest.ClipGradValue 2025-12-04T09:25:25.4034954Z [ OK ] NNUtilsTest.ClipGradValue (1 ms) 2025-12-04T09:25:25.4035325Z [ RUN ] NNUtilsTest.ConvertParameters 2025-12-04T09:25:25.4061401Z [ OK ] NNUtilsTest.ConvertParameters (2 ms) 2025-12-04T09:25:25.4061790Z [ RUN ] NNUtilsTest.PackSequence 2025-12-04T09:25:25.7642514Z [ OK ] NNUtilsTest.PackSequence (357 ms) 2025-12-04T09:25:25.7642944Z [ RUN ] NNUtilsTest.PackPaddedSequence 2025-12-04T09:25:25.8179190Z [ OK ] NNUtilsTest.PackPaddedSequence (53 ms) 2025-12-04T09:25:25.8179600Z [ RUN ] NNUtilsTest.PadSequence 2025-12-04T09:25:25.9672222Z [ OK ] NNUtilsTest.PadSequence (149 ms) 2025-12-04T09:25:25.9672638Z [----------] 7 tests from NNUtilsTest (918 ms total) 2025-12-04T09:25:25.9672898Z 2025-12-04T09:25:25.9673034Z [----------] 3 tests from PackedSequenceTest 2025-12-04T09:25:25.9673402Z [ RUN ] PackedSequenceTest.WrongOrder 2025-12-04T09:25:25.9675656Z [ OK ] PackedSequenceTest.WrongOrder (0 ms) 2025-12-04T09:25:25.9676037Z [ RUN ] PackedSequenceTest.TotalLength 2025-12-04T09:25:25.9727199Z [ OK ] PackedSequenceTest.TotalLength (5 ms) 2025-12-04T09:25:25.9727563Z [ RUN ] PackedSequenceTest.To 2025-12-04T09:25:25.9736535Z [ OK ] PackedSequenceTest.To (0 ms) 2025-12-04T09:25:25.9737040Z [----------] 3 tests from PackedSequenceTest (6 ms total) 2025-12-04T09:25:25.9737308Z 2025-12-04T09:25:25.9737427Z [----------] 35 tests from OptimTest 2025-12-04T09:25:25.9737739Z [ RUN ] OptimTest.OptimizerAccessors 2025-12-04T09:25:25.9760467Z [ OK ] OptimTest.OptimizerAccessors (2 ms) 2025-12-04T09:25:25.9760858Z [ RUN ] OptimTest.OldInterface 2025-12-04T09:25:25.9772285Z [ OK ] OptimTest.OldInterface (1 ms) 2025-12-04T09:25:25.9772660Z [ RUN ] OptimTest.XORConvergence_SGD 2025-12-04T09:25:33.8387197Z [ OK ] OptimTest.XORConvergence_SGD (7861 ms) 2025-12-04T09:25:33.8387638Z [ RUN ] OptimTest.XORConvergence_LBFGS 2025-12-04T09:25:39.2464298Z [ OK ] OptimTest.XORConvergence_LBFGS (5407 ms) 2025-12-04T09:25:39.2464753Z [ RUN ] OptimTest.XORConvergence_Adagrad 2025-12-04T09:25:42.2831255Z [ OK ] OptimTest.XORConvergence_Adagrad (3036 ms) 2025-12-04T09:25:42.2831700Z [ RUN ] OptimTest.XORConvergence_RMSprop 2025-12-04T09:25:45.2255887Z [ OK ] OptimTest.XORConvergence_RMSprop (2942 ms) 2025-12-04T09:25:45.2256372Z [ RUN ] OptimTest.XORConvergence_RMSpropWithMomentum 2025-12-04T09:25:54.7011021Z [ OK ] OptimTest.XORConvergence_RMSpropWithMomentum (9475 ms) 2025-12-04T09:25:54.7011521Z [ RUN ] OptimTest.XORConvergence_Adam 2025-12-04T09:25:57.9227919Z [ OK ] OptimTest.XORConvergence_Adam (3221 ms) 2025-12-04T09:25:57.9228405Z [ RUN ] OptimTest.XORConvergence_AdamWithAmsgrad 2025-12-04T09:26:01.1033737Z [ OK ] OptimTest.XORConvergence_AdamWithAmsgrad (3180 ms) 2025-12-04T09:26:01.1034581Z [ RUN ] OptimTest.ProducesPyTorchValues_Adam 2025-12-04T09:26:02.4032583Z [ OK ] OptimTest.ProducesPyTorchValues_Adam (1299 ms) 2025-12-04T09:26:02.4033309Z [ RUN ] OptimTest.ProducesPyTorchValues_AdamWithWeightDecay 2025-12-04T09:26:03.6741633Z [ OK ] OptimTest.ProducesPyTorchValues_AdamWithWeightDecay (1270 ms) 2025-12-04T09:26:03.6742293Z [ RUN ] OptimTest.ProducesPyTorchValues_AdamWithWeightDecayAndAMSGrad 2025-12-04T09:26:04.9640046Z [ OK ] OptimTest.ProducesPyTorchValues_AdamWithWeightDecayAndAMSGrad (1289 ms) 2025-12-04T09:26:04.9640643Z [ RUN ] OptimTest.XORConvergence_AdamW 2025-12-04T09:26:08.2715848Z [ OK ] OptimTest.XORConvergence_AdamW (3307 ms) 2025-12-04T09:26:08.2716319Z [ RUN ] OptimTest.XORConvergence_AdamWWithAmsgrad 2025-12-04T09:26:11.4789117Z [ OK ] OptimTest.XORConvergence_AdamWWithAmsgrad (3207 ms) 2025-12-04T09:26:11.4789615Z [ RUN ] OptimTest.ProducesPyTorchValues_AdamW 2025-12-04T09:26:12.6846318Z [ OK ] OptimTest.ProducesPyTorchValues_AdamW (1205 ms) 2025-12-04T09:26:12.6846850Z [ RUN ] OptimTest.ProducesPyTorchValues_AdamWWithoutWeightDecay 2025-12-04T09:26:13.8905949Z [ OK ] OptimTest.ProducesPyTorchValues_AdamWWithoutWeightDecay (1205 ms) 2025-12-04T09:26:13.8906554Z [ RUN ] OptimTest.ProducesPyTorchValues_AdamWWithAMSGrad 2025-12-04T09:26:15.1520980Z [ OK ] OptimTest.ProducesPyTorchValues_AdamWWithAMSGrad (1261 ms) 2025-12-04T09:26:15.1521511Z [ RUN ] OptimTest.ProducesPyTorchValues_Adagrad 2025-12-04T09:26:16.1842070Z [ OK ] OptimTest.ProducesPyTorchValues_Adagrad (1032 ms) 2025-12-04T09:26:16.1842623Z [ RUN ] OptimTest.ProducesPyTorchValues_AdagradWithWeightDecay 2025-12-04T09:26:17.2593972Z [ OK ] OptimTest.ProducesPyTorchValues_AdagradWithWeightDecay (1075 ms) 2025-12-04T09:26:17.2594631Z [ RUN ] OptimTest.ProducesPyTorchValues_AdagradWithWeightDecayAndLRDecay 2025-12-04T09:26:18.3252541Z [ OK ] OptimTest.ProducesPyTorchValues_AdagradWithWeightDecayAndLRDecay (1065 ms) 2025-12-04T09:26:18.3253149Z [ RUN ] OptimTest.ProducesPyTorchValues_RMSprop 2025-12-04T09:26:19.4060338Z [ OK ] OptimTest.ProducesPyTorchValues_RMSprop (1080 ms) 2025-12-04T09:26:19.4060892Z [ RUN ] OptimTest.ProducesPyTorchValues_RMSpropWithWeightDecay 2025-12-04T09:26:20.5304491Z [ OK ] OptimTest.ProducesPyTorchValues_RMSpropWithWeightDecay (1124 ms) 2025-12-04T09:26:20.5305168Z [ RUN ] OptimTest.ProducesPyTorchValues_RMSpropWithWeightDecayAndCentered 2025-12-04T09:26:21.7107150Z [ OK ] OptimTest.ProducesPyTorchValues_RMSpropWithWeightDecayAndCentered (1180 ms) 2025-12-04T09:26:21.7107917Z [ RUN ] OptimTest.ProducesPyTorchValues_RMSpropWithWeightDecayAndCenteredAndMomentum 2025-12-04T09:26:22.9612251Z [ OK ] OptimTest.ProducesPyTorchValues_RMSpropWithWeightDecayAndCenteredAndMomentum (1250 ms) 2025-12-04T09:26:22.9612928Z [ RUN ] OptimTest.ProducesPyTorchValues_SGD 2025-12-04T09:26:23.8874622Z [ OK ] OptimTest.ProducesPyTorchValues_SGD (926 ms) 2025-12-04T09:26:23.8875113Z [ RUN ] OptimTest.ProducesPyTorchValues_SGDWithWeightDecay 2025-12-04T09:26:24.8167974Z [ OK ] OptimTest.ProducesPyTorchValues_SGDWithWeightDecay (929 ms) 2025-12-04T09:26:24.8168591Z [ RUN ] OptimTest.ProducesPyTorchValues_SGDWithWeightDecayAndMomentum 2025-12-04T09:26:25.8567907Z [ OK ] OptimTest.ProducesPyTorchValues_SGDWithWeightDecayAndMomentum (1039 ms) 2025-12-04T09:26:25.8568636Z [ RUN ] OptimTest.ProducesPyTorchValues_SGDWithWeightDecayAndNesterovMomentum 2025-12-04T09:26:26.9193829Z [ OK ] OptimTest.ProducesPyTorchValues_SGDWithWeightDecayAndNesterovMomentum (1062 ms) 2025-12-04T09:26:26.9194452Z [ RUN ] OptimTest.ProducesPyTorchValues_LBFGS 2025-12-04T09:26:27.8944360Z [ OK ] OptimTest.ProducesPyTorchValues_LBFGS (974 ms) 2025-12-04T09:26:27.8944884Z [ RUN ] OptimTest.ProducesPyTorchValues_LBFGS_with_line_search 2025-12-04T09:26:31.8394391Z [ OK ] OptimTest.ProducesPyTorchValues_LBFGS_with_line_search (3944 ms) 2025-12-04T09:26:31.8394889Z [ RUN ] OptimTest.ZeroGrad 2025-12-04T09:26:31.8402836Z [ OK ] OptimTest.ZeroGrad (0 ms) 2025-12-04T09:26:31.8403247Z [ RUN ] OptimTest.ExternalVectorOfParameters 2025-12-04T09:26:31.8418059Z [ OK ] OptimTest.ExternalVectorOfParameters (1 ms) 2025-12-04T09:26:31.8418494Z [ RUN ] OptimTest.AddParameter_LBFGS 2025-12-04T09:26:31.8424953Z [ OK ] OptimTest.AddParameter_LBFGS (0 ms) 2025-12-04T09:26:31.8425340Z [ RUN ] OptimTest.CheckLRChange_StepLR_Adam 2025-12-04T09:26:31.8426544Z [ OK ] OptimTest.CheckLRChange_StepLR_Adam (0 ms) 2025-12-04T09:26:31.8426979Z [ RUN ] OptimTest.CheckLRChange_ReduceLROnPlateau_Adam 2025-12-04T09:26:31.8427466Z [ OK ] OptimTest.CheckLRChange_ReduceLROnPlateau_Adam (0 ms) 2025-12-04T09:26:31.8427929Z [----------] 35 tests from OptimTest (65869 ms total) 2025-12-04T09:26:31.8428172Z 2025-12-04T09:26:31.8428288Z [----------] 29 tests from OrderedDictTest 2025-12-04T09:26:31.8428708Z [ RUN ] OrderedDictTest.IsEmptyAfterDefaultConstruction 2025-12-04T09:26:31.8429213Z [ OK ] OrderedDictTest.IsEmptyAfterDefaultConstruction (0 ms) 2025-12-04T09:26:31.8429755Z [ RUN ] OrderedDictTest.InsertAddsElementsWhenTheyAreYetNotPresent 2025-12-04T09:26:31.8430409Z [ OK ] OrderedDictTest.InsertAddsElementsWhenTheyAreYetNotPresent (0 ms) 2025-12-04T09:26:31.8431085Z [ RUN ] OrderedDictTest.GetReturnsValuesWhenTheyArePresent 2025-12-04T09:26:31.8431620Z [ OK ] OrderedDictTest.GetReturnsValuesWhenTheyArePresent (0 ms) 2025-12-04T09:26:31.8432166Z [ RUN ] OrderedDictTest.GetThrowsWhenPassedKeysThatAreNotPresent 2025-12-04T09:26:31.8432762Z [ OK ] OrderedDictTest.GetThrowsWhenPassedKeysThatAreNotPresent (0 ms) 2025-12-04T09:26:31.8433286Z [ RUN ] OrderedDictTest.CanInitializeFromList 2025-12-04T09:26:31.8433692Z [ OK ] OrderedDictTest.CanInitializeFromList (0 ms) 2025-12-04T09:26:31.8434214Z [ RUN ] OrderedDictTest.InsertThrowsWhenPassedElementsThatArePresent 2025-12-04T09:26:31.8434887Z [ OK ] OrderedDictTest.InsertThrowsWhenPassedElementsThatArePresent (0 ms) 2025-12-04T09:26:31.8435458Z [ RUN ] OrderedDictTest.FrontReturnsTheFirstItem 2025-12-04T09:26:31.8435906Z [ OK ] OrderedDictTest.FrontReturnsTheFirstItem (0 ms) 2025-12-04T09:26:31.8436330Z [ RUN ] OrderedDictTest.FrontThrowsWhenEmpty 2025-12-04T09:26:31.8436737Z [ OK ] OrderedDictTest.FrontThrowsWhenEmpty (0 ms) 2025-12-04T09:26:31.8437146Z [ RUN ] OrderedDictTest.BackReturnsTheLastItem 2025-12-04T09:26:31.8437555Z [ OK ] OrderedDictTest.BackReturnsTheLastItem (0 ms) 2025-12-04T09:26:31.8437966Z [ RUN ] OrderedDictTest.BackThrowsWhenEmpty 2025-12-04T09:26:31.8438361Z [ OK ] OrderedDictTest.BackThrowsWhenEmpty (0 ms) 2025-12-04T09:26:31.8450083Z [ RUN ] OrderedDictTest.FindReturnsPointersToValuesWhenPresent 2025-12-04T09:26:31.8450693Z [ OK ] OrderedDictTest.FindReturnsPointersToValuesWhenPresent (0 ms) 2025-12-04T09:26:31.8451374Z [ RUN ] OrderedDictTest.FindReturnsNullPointersWhenPasesdKeysThatAreNotPresent 2025-12-04T09:26:31.8452155Z [ OK ] OrderedDictTest.FindReturnsNullPointersWhenPasesdKeysThatAreNotPresent (0 ms) 2025-12-04T09:26:31.8452923Z [ RUN ] OrderedDictTest.SubscriptOperatorThrowsWhenPassedKeysThatAreNotPresent 2025-12-04T09:26:31.8453697Z [ OK ] OrderedDictTest.SubscriptOperatorThrowsWhenPassedKeysThatAreNotPresent (0 ms) 2025-12-04T09:26:31.8454484Z [ RUN ] OrderedDictTest.SubscriptOperatorReturnsItemsPositionallyWhenPassedIntegers 2025-12-04T09:26:31.8455319Z [ OK ] OrderedDictTest.SubscriptOperatorReturnsItemsPositionallyWhenPassedIntegers (0 ms) 2025-12-04T09:26:31.8456127Z [ RUN ] OrderedDictTest.SubscriptOperatorsThrowswhenPassedKeysThatAreNotPresent 2025-12-04T09:26:31.8457167Z [ OK ] OrderedDictTest.SubscriptOperatorsThrowswhenPassedKeysThatAreNotPresent (0 ms) 2025-12-04T09:26:31.8457866Z [ RUN ] OrderedDictTest.UpdateInsertsAllItemsFromAnotherOrderedDict 2025-12-04T09:26:31.8458603Z [ OK ] OrderedDictTest.UpdateInsertsAllItemsFromAnotherOrderedDict (0 ms) 2025-12-04T09:26:31.8459172Z [ RUN ] OrderedDictTest.UpdateAlsoChecksForDuplicates 2025-12-04T09:26:31.8459649Z [ OK ] OrderedDictTest.UpdateAlsoChecksForDuplicates (0 ms) 2025-12-04T09:26:31.8460093Z [ RUN ] OrderedDictTest.CanIterateItems 2025-12-04T09:26:31.8460472Z [ OK ] OrderedDictTest.CanIterateItems (0 ms) 2025-12-04T09:26:31.8460841Z [ RUN ] OrderedDictTest.EraseWorks 2025-12-04T09:26:31.8461177Z [ OK ] OrderedDictTest.EraseWorks (0 ms) 2025-12-04T09:26:31.8461558Z [ RUN ] OrderedDictTest.ClearMakesTheDictEmpty 2025-12-04T09:26:31.8461981Z [ OK ] OrderedDictTest.ClearMakesTheDictEmpty (0 ms) 2025-12-04T09:26:31.8462380Z [ RUN ] OrderedDictTest.CanCopyConstruct 2025-12-04T09:26:31.8462765Z [ OK ] OrderedDictTest.CanCopyConstruct (0 ms) 2025-12-04T09:26:31.8463147Z [ RUN ] OrderedDictTest.CanCopyAssign 2025-12-04T09:26:31.8463589Z [ OK ] OrderedDictTest.CanCopyAssign (0 ms) 2025-12-04T09:26:31.8463970Z [ RUN ] OrderedDictTest.CanMoveConstruct 2025-12-04T09:26:31.8464358Z [ OK ] OrderedDictTest.CanMoveConstruct (0 ms) 2025-12-04T09:26:31.8464739Z [ RUN ] OrderedDictTest.CanMoveAssign 2025-12-04T09:26:31.8465093Z [ OK ] OrderedDictTest.CanMoveAssign (0 ms) 2025-12-04T09:26:31.8465482Z [ RUN ] OrderedDictTest.CanInsertWithBraces 2025-12-04T09:26:31.8465886Z [ OK ] OrderedDictTest.CanInsertWithBraces (0 ms) 2025-12-04T09:26:31.8466346Z [ RUN ] OrderedDictTest.ErrorMessagesIncludeTheKeyDescription 2025-12-04T09:26:31.8466941Z [ OK ] OrderedDictTest.ErrorMessagesIncludeTheKeyDescription (0 ms) 2025-12-04T09:26:31.8467437Z [ RUN ] OrderedDictTest.KeysReturnsAllKeys 2025-12-04T09:26:31.8467839Z [ OK ] OrderedDictTest.KeysReturnsAllKeys (0 ms) 2025-12-04T09:26:31.8468221Z [ RUN ] OrderedDictTest.ValuesReturnsAllValues 2025-12-04T09:26:31.8468652Z [ OK ] OrderedDictTest.ValuesReturnsAllValues (0 ms) 2025-12-04T09:26:31.8469073Z [ RUN ] OrderedDictTest.ItemsReturnsAllItems 2025-12-04T09:26:31.8469473Z [ OK ] OrderedDictTest.ItemsReturnsAllItems (0 ms) 2025-12-04T09:26:31.8470270Z [----------] 29 tests from OrderedDictTest (0 ms total) 2025-12-04T09:26:31.8470539Z 2025-12-04T09:26:31.8470640Z [----------] 14 tests from RNNTest 2025-12-04T09:26:31.8470955Z [ RUN ] RNNTest.CheckOutputSizes 2025-12-04T09:26:31.9383891Z [ OK ] RNNTest.CheckOutputSizes (94 ms) 2025-12-04T09:26:31.9384300Z [ RUN ] RNNTest.CheckOutputSizesProj 2025-12-04T09:26:31.9415478Z [W1204 09:26:31.614403089 RNN.cpp:1481] Warning: LSTM with projections is not supported with oneDNN. Using default implementation. (function operator()) 2025-12-04T09:26:31.9741216Z [ OK ] RNNTest.CheckOutputSizesProj (35 ms) 2025-12-04T09:26:31.9741615Z [ RUN ] RNNTest.CheckOutputValuesMatchPyTorch 2025-12-04T09:26:31.9781603Z [ OK ] RNNTest.CheckOutputValuesMatchPyTorch (4 ms) 2025-12-04T09:26:31.9782039Z [ RUN ] RNNTest.EndToEndLSTM 2025-12-04T09:26:37.0777443Z [ OK ] RNNTest.EndToEndLSTM (5099 ms) 2025-12-04T09:26:37.0777842Z [ RUN ] RNNTest.EndToEndLSTMProj 2025-12-04T09:26:47.3338662Z [ OK ] RNNTest.EndToEndLSTMProj (10256 ms) 2025-12-04T09:26:47.3339072Z [ RUN ] RNNTest.EndToEndGRU 2025-12-04T09:26:56.2576642Z [ OK ] RNNTest.EndToEndGRU (8923 ms) 2025-12-04T09:26:56.2577031Z [ RUN ] RNNTest.EndToEndRNNRelu 2025-12-04T09:27:01.0839961Z [ OK ] RNNTest.EndToEndRNNRelu (4826 ms) 2025-12-04T09:27:01.0840392Z [ RUN ] RNNTest.EndToEndRNNTanh 2025-12-04T09:27:06.2163086Z [ OK ] RNNTest.EndToEndRNNTanh (5132 ms) 2025-12-04T09:27:06.2163503Z [ RUN ] RNNTest.PrettyPrintRNNs 2025-12-04T09:27:06.2262241Z [ OK ] RNNTest.PrettyPrintRNNs (10 ms) 2025-12-04T09:27:06.2262979Z [ RUN ] RNNTest.BidirectionalFlattenParameters 2025-12-04T09:27:06.2625937Z [ OK ] RNNTest.BidirectionalFlattenParameters (36 ms) 2025-12-04T09:27:06.2626543Z [ RUN ] RNNTest.BidirectionalGRUReverseForward 2025-12-04T09:27:06.2726111Z [ OK ] RNNTest.BidirectionalGRUReverseForward (10 ms) 2025-12-04T09:27:06.2726583Z [ RUN ] RNNTest.BidirectionalLSTMReverseForward 2025-12-04T09:27:06.3019862Z [ OK ] RNNTest.BidirectionalLSTMReverseForward (29 ms) 2025-12-04T09:27:06.3020275Z [ RUN ] RNNTest.UsePackedSequenceAsInput 2025-12-04T09:27:06.3156134Z [ OK ] RNNTest.UsePackedSequenceAsInput (13 ms) 2025-12-04T09:27:06.3156528Z [ RUN ] RNNTest.CheckErrorInfos 2025-12-04T09:27:06.3160170Z [ OK ] RNNTest.CheckErrorInfos (0 ms) 2025-12-04T09:27:06.3160522Z [----------] 14 tests from RNNTest (34472 ms total) 2025-12-04T09:27:06.3160777Z 2025-12-04T09:27:06.3160888Z [----------] 19 tests from SequentialTest 2025-12-04T09:27:06.3161256Z [ RUN ] SequentialTest.CanContainThings 2025-12-04T09:27:06.3163520Z [ OK ] SequentialTest.CanContainThings (0 ms) 2025-12-04T09:27:06.3164070Z [ RUN ] SequentialTest.ConstructsFromSharedPointer 2025-12-04T09:27:06.3164550Z [ OK ] SequentialTest.ConstructsFromSharedPointer (0 ms) 2025-12-04T09:27:06.3165044Z [ RUN ] SequentialTest.ConstructsFromConcreteType 2025-12-04T09:27:06.3165497Z [ OK ] SequentialTest.ConstructsFromConcreteType (0 ms) 2025-12-04T09:27:06.3165933Z [ RUN ] SequentialTest.ConstructsFromModuleHolder 2025-12-04T09:27:06.3166379Z [ OK ] SequentialTest.ConstructsFromModuleHolder (0 ms) 2025-12-04T09:27:06.3166812Z [ RUN ] SequentialTest.PushBackAddsAnElement 2025-12-04T09:27:06.3168715Z [ OK ] SequentialTest.PushBackAddsAnElement (0 ms) 2025-12-04T09:27:06.3169241Z [ RUN ] SequentialTest.AccessWithAt 2025-12-04T09:27:06.3169819Z [ OK ] SequentialTest.AccessWithAt (0 ms) 2025-12-04T09:27:06.3170247Z [ RUN ] SequentialTest.AccessWithPtr 2025-12-04T09:27:06.3171442Z [ OK ] SequentialTest.AccessWithPtr (0 ms) 2025-12-04T09:27:06.3171917Z [ RUN ] SequentialTest.CallingForwardOnEmptySequentialIsDisallowed 2025-12-04T09:27:06.3172612Z [ OK ] SequentialTest.CallingForwardOnEmptySequentialIsDisallowed (0 ms) 2025-12-04T09:27:06.3173213Z [ RUN ] SequentialTest.CallingForwardChainsCorrectly 2025-12-04T09:27:06.3173680Z [ OK ] SequentialTest.CallingForwardChainsCorrectly (0 ms) 2025-12-04T09:27:06.3174217Z [ RUN ] SequentialTest.CallingForwardWithTheWrongReturnTypeThrows 2025-12-04T09:27:06.3174877Z [ OK ] SequentialTest.CallingForwardWithTheWrongReturnTypeThrows (0 ms) 2025-12-04T09:27:06.3175469Z [ RUN ] SequentialTest.TheReturnTypeOfForwardDefaultsToTensor 2025-12-04T09:27:06.3176019Z [ OK ] SequentialTest.TheReturnTypeOfForwardDefaultsToTensor (0 ms) 2025-12-04T09:27:06.3176535Z [ RUN ] SequentialTest.ForwardReturnsTheLastValue 2025-12-04T09:27:06.3187919Z [ OK ] SequentialTest.ForwardReturnsTheLastValue (1 ms) 2025-12-04T09:27:06.3188425Z [ RUN ] SequentialTest.SanityCheckForHoldingStandardModules 2025-12-04T09:27:06.3198424Z [ OK ] SequentialTest.SanityCheckForHoldingStandardModules (1 ms) 2025-12-04T09:27:06.3199011Z [ RUN ] SequentialTest.ExtendPushesModulesFromOtherSequential 2025-12-04T09:27:06.3199590Z [ OK ] SequentialTest.ExtendPushesModulesFromOtherSequential (0 ms) 2025-12-04T09:27:06.3200118Z [ RUN ] SequentialTest.HasReferenceSemantics 2025-12-04T09:27:06.3200955Z [ OK ] SequentialTest.HasReferenceSemantics (0 ms) 2025-12-04T09:27:06.3201342Z [ RUN ] SequentialTest.IsCloneable 2025-12-04T09:27:06.3224490Z [ OK ] SequentialTest.IsCloneable (2 ms) 2025-12-04T09:27:06.3224901Z [ RUN ] SequentialTest.RegistersElementsAsSubmodules 2025-12-04T09:27:06.3228257Z [ OK ] SequentialTest.RegistersElementsAsSubmodules (0 ms) 2025-12-04T09:27:06.3228708Z [ RUN ] SequentialTest.PrettyPrintSequential 2025-12-04T09:27:06.3247423Z [ OK ] SequentialTest.PrettyPrintSequential (1 ms) 2025-12-04T09:27:06.3247868Z [ RUN ] SequentialTest.ModuleForwardMethodOptionalArg 2025-12-04T09:27:06.3569308Z [ OK ] SequentialTest.ModuleForwardMethodOptionalArg (32 ms) 2025-12-04T09:27:06.3569909Z [----------] 19 tests from SequentialTest (40 ms total) 2025-12-04T09:27:06.3570164Z 2025-12-04T09:27:06.3570281Z [----------] 11 tests from TransformerTest 2025-12-04T09:27:06.3570664Z [ RUN ] TransformerTest.TransformerEncoderLayer 2025-12-04T09:27:06.4215722Z [ OK ] TransformerTest.TransformerEncoderLayer (64 ms) 2025-12-04T09:27:06.4216218Z [ RUN ] TransformerTest.TransformerDecoderLayer 2025-12-04T09:27:06.4815630Z [ OK ] TransformerTest.TransformerDecoderLayer (59 ms) 2025-12-04T09:27:06.4816106Z [ RUN ] TransformerTest.TransformerDecoderLayer_gelu 2025-12-04T09:27:06.5095351Z [ OK ] TransformerTest.TransformerDecoderLayer_gelu (27 ms) 2025-12-04T09:27:06.5095819Z [ RUN ] TransformerTest.TransformerEncoder 2025-12-04T09:27:06.6098500Z [ OK ] TransformerTest.TransformerEncoder (100 ms) 2025-12-04T09:27:06.6098993Z [ RUN ] TransformerTest.PrettyPrintTransformerEncoderLayer 2025-12-04T09:27:06.6107103Z [ OK ] TransformerTest.PrettyPrintTransformerEncoderLayer (0 ms) 2025-12-04T09:27:06.6107645Z [ RUN ] TransformerTest.PrettyPrintTransformerEncoder 2025-12-04T09:27:06.6144830Z [ OK ] TransformerTest.PrettyPrintTransformerEncoder (3 ms) 2025-12-04T09:27:06.6145362Z [ RUN ] TransformerTest.PrettyPrintTransformerDecoderLayer 2025-12-04T09:27:06.6155360Z [ OK ] TransformerTest.PrettyPrintTransformerDecoderLayer (1 ms) 2025-12-04T09:27:06.6155861Z [ RUN ] TransformerTest.TransformerDecoder 2025-12-04T09:27:06.9033922Z [ OK ] TransformerTest.TransformerDecoder (287 ms) 2025-12-04T09:27:06.9034410Z [ RUN ] TransformerTest.PrettyPrintTransformerDecoder 2025-12-04T09:27:06.9194752Z [ OK ] TransformerTest.PrettyPrintTransformerDecoder (16 ms) 2025-12-04T09:27:06.9195213Z [ RUN ] TransformerTest.Transformer 2025-12-04T09:27:07.0162768Z [ OK ] TransformerTest.Transformer (96 ms) 2025-12-04T09:27:07.0163212Z [ RUN ] TransformerTest.TransformerArgsCorrectness 2025-12-04T09:27:07.0198744Z [ OK ] TransformerTest.TransformerArgsCorrectness (3 ms) 2025-12-04T09:27:07.0199219Z [----------] 11 tests from TransformerTest (662 ms total) 2025-12-04T09:27:07.0199498Z 2025-12-04T09:27:07.0199609Z [----------] 23 tests from SerializeTest 2025-12-04T09:27:07.0199940Z [ RUN ] SerializeTest.KeysFunc 2025-12-04T09:27:07.0229591Z [ OK ] SerializeTest.KeysFunc (3 ms) 2025-12-04T09:27:07.0229971Z [ RUN ] SerializeTest.TryReadFunc 2025-12-04T09:27:07.0249458Z [ OK ] SerializeTest.TryReadFunc (1 ms) 2025-12-04T09:27:07.0249840Z [ RUN ] SerializeTest.Basic 2025-12-04T09:27:07.0271381Z [ OK ] SerializeTest.Basic (2 ms) 2025-12-04T09:27:07.0271740Z [ RUN ] SerializeTest.MathBits 2025-12-04T09:27:07.0367120Z [ OK ] SerializeTest.MathBits (9 ms) 2025-12-04T09:27:07.0367459Z [ RUN ] SerializeTest.BasicToFile 2025-12-04T09:27:07.0391671Z [ OK ] SerializeTest.BasicToFile (2 ms) 2025-12-04T09:27:07.0392060Z [ RUN ] SerializeTest.BasicViaFunc 2025-12-04T09:27:07.0428042Z [ OK ] SerializeTest.BasicViaFunc (3 ms) 2025-12-04T09:27:07.0428381Z [ RUN ] SerializeTest.Resized 2025-12-04T09:27:07.0440115Z [ OK ] SerializeTest.Resized (1 ms) 2025-12-04T09:27:07.0440488Z [ RUN ] SerializeTest.Sliced 2025-12-04T09:27:07.0452351Z [ OK ] SerializeTest.Sliced (1 ms) 2025-12-04T09:27:07.0452730Z [ RUN ] SerializeTest.NonContiguous 2025-12-04T09:27:07.0465082Z [ OK ] SerializeTest.NonContiguous (1 ms) 2025-12-04T09:27:07.0465500Z [ RUN ] SerializeTest.ErrorOnMissingKey 2025-12-04T09:27:07.0517440Z [ OK ] SerializeTest.ErrorOnMissingKey (5 ms) 2025-12-04T09:27:07.0517814Z [ RUN ] SerializeTest.XOR 2025-12-04T09:27:08.2232335Z [ OK ] SerializeTest.XOR (1171 ms) 2025-12-04T09:27:08.2233042Z [ RUN ] SerializeTest.Optim 2025-12-04T09:27:08.2404334Z [ OK ] SerializeTest.Optim (17 ms) 2025-12-04T09:27:08.2404678Z [ RUN ] SerializeTest.Optim_Adagrad 2025-12-04T09:27:08.2607413Z [ OK ] SerializeTest.Optim_Adagrad (20 ms) 2025-12-04T09:27:08.2607835Z [ RUN ] SerializeTest.Optim_SGD 2025-12-04T09:27:08.2788632Z [ OK ] SerializeTest.Optim_SGD (18 ms) 2025-12-04T09:27:08.2789017Z [ RUN ] SerializeTest.Optim_Adam 2025-12-04T09:27:08.3020071Z [ OK ] SerializeTest.Optim_Adam (23 ms) 2025-12-04T09:27:08.3020441Z [ RUN ] SerializeTest.Optim_AdamW 2025-12-04T09:27:08.3249817Z [ OK ] SerializeTest.Optim_AdamW (22 ms) 2025-12-04T09:27:08.3250201Z [ RUN ] SerializeTest.Optim_RMSprop 2025-12-04T09:27:08.3476101Z [ OK ] SerializeTest.Optim_RMSprop (22 ms) 2025-12-04T09:27:08.3476487Z [ RUN ] SerializeTest.Optim_LBFGS 2025-12-04T09:27:08.3711405Z [ OK ] SerializeTest.Optim_LBFGS (23 ms) 2025-12-04T09:27:08.3712120Z [ RUN ] SerializeTest.CanSerializeModulesWithIntermediateModulesWithoutParametersOrBuffers 2025-12-04T09:27:08.3750032Z [ OK ] SerializeTest.CanSerializeModulesWithIntermediateModulesWithoutParametersOrBuffers (3 ms) 2025-12-04T09:27:08.3750708Z [ RUN ] SerializeTest.VectorOfTensors 2025-12-04T09:27:08.3773822Z [ OK ] SerializeTest.VectorOfTensors (2 ms) 2025-12-04T09:27:08.3774202Z [ RUN ] SerializeTest.IValue 2025-12-04T09:27:08.3791661Z [ OK ] SerializeTest.IValue (1 ms) 2025-12-04T09:27:08.3792181Z [ RUN ] SerializeTest.UnserializableSubmoduleIsSkippedWhenSavingModule 2025-12-04T09:27:08.3806482Z [ OK ] SerializeTest.UnserializableSubmoduleIsSkippedWhenSavingModule (1 ms) 2025-12-04T09:27:08.3807160Z [ RUN ] SerializeTest.UnserializableSubmoduleIsIgnoredWhenLoadingModule 2025-12-04T09:27:08.3856041Z [ OK ] SerializeTest.UnserializableSubmoduleIsIgnoredWhenLoadingModule (4 ms) 2025-12-04T09:27:08.3856613Z [----------] 23 tests from SerializeTest (1365 ms total) 2025-12-04T09:27:08.3856932Z 2025-12-04T09:27:08.3857038Z [----------] 1 test from SpecialTest 2025-12-04T09:27:08.3857350Z [ RUN ] SpecialTest.special 2025-12-04T09:27:08.3867254Z [ OK ] SpecialTest.special (1 ms) 2025-12-04T09:27:08.3867634Z [----------] 1 test from SpecialTest (1 ms total) 2025-12-04T09:27:08.3867885Z 2025-12-04T09:27:08.3868060Z [----------] 3 tests from TestStatic 2025-12-04T09:27:08.3868415Z [ RUN ] TestStatic.EnableIfModule 2025-12-04T09:27:08.3868869Z [ OK ] TestStatic.EnableIfModule (0 ms) 2025-12-04T09:27:08.3869236Z [ RUN ] TestStatic.ReturnTypeOfForward 2025-12-04T09:27:08.3869607Z [ OK ] TestStatic.ReturnTypeOfForward (0 ms) 2025-12-04T09:27:08.3870102Z [ RUN ] TestStatic.Apply 2025-12-04T09:27:08.3870402Z [ OK ] TestStatic.Apply (0 ms) 2025-12-04T09:27:08.3870743Z [----------] 3 tests from TestStatic (0 ms total) 2025-12-04T09:27:08.3870980Z 2025-12-04T09:27:08.3871082Z [----------] 48 tests from TensorTest 2025-12-04T09:27:08.3871403Z [ RUN ] TensorTest.ToDtype 2025-12-04T09:27:08.3901438Z [ OK ] TensorTest.ToDtype (3 ms) 2025-12-04T09:27:08.3901803Z [ RUN ] TensorTest.ToTensorAndTensorAttributes 2025-12-04T09:27:08.3902895Z [ OK ] TensorTest.ToTensorAndTensorAttributes (0 ms) 2025-12-04T09:27:08.3903296Z [ RUN ] TensorTest.TensorAttributes 2025-12-04T09:27:08.3903724Z [ OK ] TensorTest.TensorAttributes (0 ms) 2025-12-04T09:27:08.3904094Z [ RUN ] TensorTest.ToOptionsWithRequiresGrad 2025-12-04T09:27:08.3906227Z [ OK ] TensorTest.ToOptionsWithRequiresGrad (0 ms) 2025-12-04T09:27:08.3906754Z [ RUN ] TensorTest.ToDoesNotCopyWhenOptionsAreAllTheSame 2025-12-04T09:27:08.3907270Z [ OK ] TensorTest.ToDoesNotCopyWhenOptionsAreAllTheSame (0 ms) 2025-12-04T09:27:08.3907707Z [ RUN ] TensorTest.AtTensorCtorScalar 2025-12-04T09:27:08.3911957Z [ OK ] TensorTest.AtTensorCtorScalar (0 ms) 2025-12-04T09:27:08.3912346Z [ RUN ] TensorTest.AtTensorCtorSingleDim 2025-12-04T09:27:08.3920307Z [ OK ] TensorTest.AtTensorCtorSingleDim (0 ms) 2025-12-04T09:27:08.3920724Z [ RUN ] TensorTest.AtTensorCastRealToComplex 2025-12-04T09:27:08.3922165Z [ OK ] TensorTest.AtTensorCastRealToComplex (0 ms) 2025-12-04T09:27:08.3922620Z [ RUN ] TensorTest.AtTensorCastComplexToRealErrorChecks 2025-12-04T09:27:08.3931923Z [ OK ] TensorTest.AtTensorCastComplexToRealErrorChecks (0 ms) 2025-12-04T09:27:08.3932433Z [ RUN ] TensorTest.TorchTensorCtorScalarIntegralType 2025-12-04T09:27:08.3932911Z [ OK ] TensorTest.TorchTensorCtorScalarIntegralType (0 ms) 2025-12-04T09:27:08.3933490Z [ RUN ] TensorTest.TorchTensorCtorScalarFloatingType 2025-12-04T09:27:08.3934064Z [ OK ] TensorTest.TorchTensorCtorScalarFloatingType (0 ms) 2025-12-04T09:27:08.3934526Z [ RUN ] TensorTest.TorchTensorCtorScalarBoolType 2025-12-04T09:27:08.3934966Z [ OK ] TensorTest.TorchTensorCtorScalarBoolType (0 ms) 2025-12-04T09:27:08.3935421Z [ RUN ] TensorTest.TorchTensorCtorSingleDimIntegralType 2025-12-04T09:27:08.3938561Z [ OK ] TensorTest.TorchTensorCtorSingleDimIntegralType (0 ms) 2025-12-04T09:27:08.3939061Z [ RUN ] TensorTest.TorchTensorCtorSingleDimFloatingType 2025-12-04T09:27:08.3945810Z [ OK ] TensorTest.TorchTensorCtorSingleDimFloatingType (0 ms) 2025-12-04T09:27:08.3946277Z [ RUN ] TensorTest.TorchTensorCtorSingleDimBoolType 2025-12-04T09:27:08.3958481Z [ OK ] TensorTest.TorchTensorCtorSingleDimBoolType (1 ms) 2025-12-04T09:27:08.3958966Z [ RUN ] TensorTest.TorchTensorCtorMultiDimIntegralType 2025-12-04T09:27:08.3999849Z [ OK ] TensorTest.TorchTensorCtorMultiDimIntegralType (4 ms) 2025-12-04T09:27:08.4000356Z [ RUN ] TensorTest.TorchTensorCtorMultiDimFloatingType 2025-12-04T09:27:08.4020674Z [ OK ] TensorTest.TorchTensorCtorMultiDimFloatingType (2 ms) 2025-12-04T09:27:08.4021185Z [ RUN ] TensorTest.TorchTensorCtorMultiDimBoolType 2025-12-04T09:27:08.4023761Z [ OK ] TensorTest.TorchTensorCtorMultiDimBoolType (0 ms) 2025-12-04T09:27:08.4024245Z [ RUN ] TensorTest.TorchTensorCtorMultiDimWithOptions 2025-12-04T09:27:08.4033182Z [ OK ] TensorTest.TorchTensorCtorMultiDimWithOptions (0 ms) 2025-12-04T09:27:08.4033710Z [ RUN ] TensorTest.TorchTensorCtorMultiDimErrorChecks 2025-12-04T09:27:08.4035119Z [ OK ] TensorTest.TorchTensorCtorMultiDimErrorChecks (0 ms) 2025-12-04T09:27:08.4035579Z [ RUN ] TensorTest.TorchTensorCastRealToComplex 2025-12-04T09:27:08.4037842Z [ OK ] TensorTest.TorchTensorCastRealToComplex (0 ms) 2025-12-04T09:27:08.4038306Z [ RUN ] TensorTest.TorchTensorCastComplexToRealErrorChecks 2025-12-04T09:27:08.4084898Z [W1204 09:27:08.081350350 Copy.cpp:308] Warning: Casting complex values to real discards the imaginary part (function operator()) 2025-12-04T09:27:08.4085681Z [ OK ] TensorTest.TorchTensorCastComplexToRealErrorChecks (4 ms) 2025-12-04T09:27:08.4086169Z [ RUN ] TensorTest.TorchTensorCtorZeroSizedDim 2025-12-04T09:27:08.4093013Z [ OK ] TensorTest.TorchTensorCtorZeroSizedDim (0 ms) 2025-12-04T09:27:08.4093493Z [ RUN ] TensorTest.TorchTensorCtorWithoutSpecifyingDtype 2025-12-04T09:27:08.4097716Z [ OK ] TensorTest.TorchTensorCtorWithoutSpecifyingDtype (0 ms) 2025-12-04T09:27:08.4098218Z [ RUN ] TensorTest.TorchTensorCtorWithNonDtypeOptions 2025-12-04T09:27:08.4101842Z [ OK ] TensorTest.TorchTensorCtorWithNonDtypeOptions (0 ms) 2025-12-04T09:27:08.4102403Z [ RUN ] TensorTest.Arange 2025-12-04T09:27:08.4102709Z [ OK ] TensorTest.Arange (0 ms) 2025-12-04T09:27:08.4103081Z [ RUN ] TensorTest.PrettyPrintTensorDataContainer 2025-12-04T09:27:08.4104954Z [ OK ] TensorTest.PrettyPrintTensorDataContainer (0 ms) 2025-12-04T09:27:08.4105470Z [ RUN ] TensorTest.TensorDataContainerCallingAccessorOfWrongType 2025-12-04T09:27:08.4107181Z [ OK ] TensorTest.TensorDataContainerCallingAccessorOfWrongType (0 ms) 2025-12-04T09:27:08.4107658Z [ RUN ] TensorTest.FromBlob 2025-12-04T09:27:08.4109184Z [ OK ] TensorTest.FromBlob (0 ms) 2025-12-04T09:27:08.4109554Z [ RUN ] TensorTest.FromBlobUsesDeleter 2025-12-04T09:27:08.4109930Z [ OK ] TensorTest.FromBlobUsesDeleter (0 ms) 2025-12-04T09:27:08.4110405Z [ RUN ] TensorTest.FromBlobWithStrides 2025-12-04T09:27:08.4113538Z [ OK ] TensorTest.FromBlobWithStrides (0 ms) 2025-12-04T09:27:08.4113916Z [ RUN ] TensorTest.Item 2025-12-04T09:27:08.4114360Z [ OK ] TensorTest.Item (0 ms) 2025-12-04T09:27:08.4114678Z [ RUN ] TensorTest.DataPtr 2025-12-04T09:27:08.4114982Z [ OK ] TensorTest.DataPtr (0 ms) 2025-12-04T09:27:08.4115307Z [ RUN ] TensorTest.Data 2025-12-04T09:27:08.4115587Z [ OK ] TensorTest.Data (0 ms) 2025-12-04T09:27:08.4115909Z [ RUN ] TensorTest.BackwardAndGrad 2025-12-04T09:27:08.4118489Z [ OK ] TensorTest.BackwardAndGrad (0 ms) 2025-12-04T09:27:08.4118855Z [ RUN ] TensorTest.BackwardCreatesOnesGrad 2025-12-04T09:27:08.4120583Z [ OK ] TensorTest.BackwardCreatesOnesGrad (0 ms) 2025-12-04T09:27:08.4121001Z [ RUN ] TensorTest.BackwardNonScalarOutputs 2025-12-04T09:27:08.4122700Z [ OK ] TensorTest.BackwardNonScalarOutputs (0 ms) 2025-12-04T09:27:08.4123108Z [ RUN ] TensorTest.BackwardComplexScalarOutput 2025-12-04T09:27:08.4125934Z [ OK ] TensorTest.BackwardComplexScalarOutput (0 ms) 2025-12-04T09:27:08.4126328Z [ RUN ] TensorTest.IsLeaf 2025-12-04T09:27:08.4126945Z [ OK ] TensorTest.IsLeaf (0 ms) 2025-12-04T09:27:08.4127274Z [ RUN ] TensorTest.OutputNr 2025-12-04T09:27:08.4127853Z [ OK ] TensorTest.OutputNr (0 ms) 2025-12-04T09:27:08.4128176Z [ RUN ] TensorTest.Version 2025-12-04T09:27:08.4129402Z [ OK ] TensorTest.Version (0 ms) 2025-12-04T09:27:08.4129743Z [ RUN ] TensorTest.Detach 2025-12-04T09:27:08.4130317Z [ OK ] TensorTest.Detach (0 ms) 2025-12-04T09:27:08.4130686Z [ RUN ] TensorTest.DetachInplace 2025-12-04T09:27:08.4131140Z [ OK ] TensorTest.DetachInplace (0 ms) 2025-12-04T09:27:08.4131637Z [ RUN ] TensorTest.SetData 2025-12-04T09:27:08.4131951Z [ OK ] TensorTest.SetData (0 ms) 2025-12-04T09:27:08.4132279Z [ RUN ] TensorTest.RequiresGradInplace 2025-12-04T09:27:08.4134370Z [ OK ] TensorTest.RequiresGradInplace (0 ms) 2025-12-04T09:27:08.4134733Z [ RUN ] TensorTest.StdDimension 2025-12-04T09:27:08.4150323Z [ OK ] TensorTest.StdDimension (1 ms) 2025-12-04T09:27:08.4150670Z [ RUN ] TensorTest.ReshapeAlias 2025-12-04T09:27:08.4171896Z [ OK ] TensorTest.ReshapeAlias (2 ms) 2025-12-04T09:27:08.4172369Z [ RUN ] TensorTest.BackendMetadata 2025-12-04T09:27:08.4172764Z [ OK ] TensorTest.BackendMetadata (0 ms) 2025-12-04T09:27:08.4173132Z [----------] 48 tests from TensorTest (30 ms total) 2025-12-04T09:27:08.4173372Z 2025-12-04T09:27:08.4173507Z [----------] 36 tests from TensorIndexingTest 2025-12-04T09:27:08.4173847Z [ RUN ] TensorIndexingTest.Slice 2025-12-04T09:27:08.4174169Z [ OK ] TensorIndexingTest.Slice (0 ms) 2025-12-04T09:27:08.4174531Z [ RUN ] TensorIndexingTest.TensorIndex 2025-12-04T09:27:08.4175940Z [ OK ] TensorIndexingTest.TensorIndex (0 ms) 2025-12-04T09:27:08.4176313Z [ RUN ] TensorIndexingTest.TestNoIndices 2025-12-04T09:27:08.4179744Z [ OK ] TensorIndexingTest.TestNoIndices (0 ms) 2025-12-04T09:27:08.4180226Z [ RUN ] TensorIndexingTest.TestAdvancedIndexingWithListOfTensor 2025-12-04T09:27:08.4193205Z [ OK ] TensorIndexingTest.TestAdvancedIndexingWithListOfTensor (1 ms) 2025-12-04T09:27:08.4193889Z [ RUN ] TensorIndexingTest.TestSingleInt 2025-12-04T09:27:08.4194284Z [ OK ] TensorIndexingTest.TestSingleInt (0 ms) 2025-12-04T09:27:08.4194680Z [ RUN ] TensorIndexingTest.TestMultipleInt 2025-12-04T09:27:08.4196208Z [ OK ] TensorIndexingTest.TestMultipleInt (0 ms) 2025-12-04T09:27:08.4196595Z [ RUN ] TensorIndexingTest.TestNone 2025-12-04T09:27:08.4197262Z [ OK ] TensorIndexingTest.TestNone (0 ms) 2025-12-04T09:27:08.4197630Z [ RUN ] TensorIndexingTest.TestStep 2025-12-04T09:27:08.4202500Z [ OK ] TensorIndexingTest.TestStep (0 ms) 2025-12-04T09:27:08.4202900Z [ RUN ] TensorIndexingTest.TestStepAssignment 2025-12-04T09:27:08.4208019Z [ OK ] TensorIndexingTest.TestStepAssignment (0 ms) 2025-12-04T09:27:08.4208422Z [ RUN ] TensorIndexingTest.TestBoolIndices 2025-12-04T09:27:08.4221732Z [ OK ] TensorIndexingTest.TestBoolIndices (1 ms) 2025-12-04T09:27:08.4222181Z [ RUN ] TensorIndexingTest.TestBoolIndicesAccumulate 2025-12-04T09:27:08.4225238Z [ OK ] TensorIndexingTest.TestBoolIndicesAccumulate (0 ms) 2025-12-04T09:27:08.4225689Z [ RUN ] TensorIndexingTest.TestMultipleBoolIndices 2025-12-04T09:27:08.4228705Z [ OK ] TensorIndexingTest.TestMultipleBoolIndices (0 ms) 2025-12-04T09:27:08.4229135Z [ RUN ] TensorIndexingTest.TestByteMask 2025-12-04T09:27:08.4236199Z [ OK ] TensorIndexingTest.TestByteMask (0 ms) 2025-12-04T09:27:08.4236632Z [ RUN ] TensorIndexingTest.TestByteMaskAccumulate 2025-12-04T09:27:08.4239776Z [ OK ] TensorIndexingTest.TestByteMaskAccumulate (0 ms) 2025-12-04T09:27:08.4240219Z [ RUN ] TensorIndexingTest.TestMultipleByteMask 2025-12-04T09:27:08.4243257Z [ OK ] TensorIndexingTest.TestMultipleByteMask (0 ms) 2025-12-04T09:27:08.4243680Z [ RUN ] TensorIndexingTest.TestByteMask2d 2025-12-04T09:27:08.4246837Z [ OK ] TensorIndexingTest.TestByteMask2d (0 ms) 2025-12-04T09:27:08.4247233Z [ RUN ] TensorIndexingTest.TestIntIndices 2025-12-04T09:27:08.4251171Z [ OK ] TensorIndexingTest.TestIntIndices (0 ms) 2025-12-04T09:27:08.4251568Z [ RUN ] TensorIndexingTest.TestIntIndices2d 2025-12-04T09:27:08.4255151Z [ OK ] TensorIndexingTest.TestIntIndices2d (0 ms) 2025-12-04T09:27:08.4255576Z [ RUN ] TensorIndexingTest.TestIntIndicesBroadcast 2025-12-04T09:27:08.4258316Z [ OK ] TensorIndexingTest.TestIntIndicesBroadcast (0 ms) 2025-12-04T09:27:08.4258749Z [ RUN ] TensorIndexingTest.TestEmptyIndex 2025-12-04T09:27:08.4261691Z [ OK ] TensorIndexingTest.TestEmptyIndex (0 ms) 2025-12-04T09:27:08.4262093Z [ RUN ] TensorIndexingTest.TestEmptyNdimIndex 2025-12-04T09:27:08.4293271Z [ OK ] TensorIndexingTest.TestEmptyNdimIndex (3 ms) 2025-12-04T09:27:08.4293731Z [ RUN ] TensorIndexingTest.TestEmptyNdimIndexBool 2025-12-04T09:27:08.4294542Z [ OK ] TensorIndexingTest.TestEmptyNdimIndexBool (0 ms) 2025-12-04T09:27:08.4295007Z [ RUN ] TensorIndexingTest.TestEmptySlice 2025-12-04T09:27:08.4295521Z [ OK ] TensorIndexingTest.TestEmptySlice (0 ms) 2025-12-04T09:27:08.4295973Z [ RUN ] TensorIndexingTest.TestIndexGetitemCopyBoolsSlices 2025-12-04T09:27:08.4303230Z [ OK ] TensorIndexingTest.TestIndexGetitemCopyBoolsSlices (0 ms) 2025-12-04T09:27:08.4303824Z [ RUN ] TensorIndexingTest.TestIndexSetitemBoolsSlices 2025-12-04T09:27:08.4342969Z [ OK ] TensorIndexingTest.TestIndexSetitemBoolsSlices (3 ms) 2025-12-04T09:27:08.4343514Z [ RUN ] TensorIndexingTest.TestIndexScalarWithBoolMask 2025-12-04T09:27:08.4351814Z [ OK ] TensorIndexingTest.TestIndexScalarWithBoolMask (0 ms) 2025-12-04T09:27:08.4352348Z [ RUN ] TensorIndexingTest.TestSetitemExpansionError 2025-12-04T09:27:08.4365471Z [ OK ] TensorIndexingTest.TestSetitemExpansionError (1 ms) 2025-12-04T09:27:08.4365933Z [ RUN ] TensorIndexingTest.TestGetitemScalars 2025-12-04T09:27:08.4387543Z [ OK ] TensorIndexingTest.TestGetitemScalars (2 ms) 2025-12-04T09:27:08.4387973Z [ RUN ] TensorIndexingTest.TestSetitemScalars 2025-12-04T09:27:08.4400625Z [ OK ] TensorIndexingTest.TestSetitemScalars (1 ms) 2025-12-04T09:27:08.4401075Z [ RUN ] TensorIndexingTest.TestBasicAdvancedCombined 2025-12-04T09:27:08.4408920Z [ OK ] TensorIndexingTest.TestBasicAdvancedCombined (0 ms) 2025-12-04T09:27:08.4409406Z [ RUN ] TensorIndexingTest.TestIntAssignment 2025-12-04T09:27:08.4413079Z [ OK ] TensorIndexingTest.TestIntAssignment (0 ms) 2025-12-04T09:27:08.4413498Z [ RUN ] TensorIndexingTest.TestByteTensorAssignment 2025-12-04T09:27:08.4420200Z [ OK ] TensorIndexingTest.TestByteTensorAssignment (0 ms) 2025-12-04T09:27:08.4420657Z [ RUN ] TensorIndexingTest.TestVariableSlicing 2025-12-04T09:27:08.4422092Z [ OK ] TensorIndexingTest.TestVariableSlicing (0 ms) 2025-12-04T09:27:08.4422503Z [ RUN ] TensorIndexingTest.TestEllipsisTensor 2025-12-04T09:27:08.4426821Z [ OK ] TensorIndexingTest.TestEllipsisTensor (0 ms) 2025-12-04T09:27:08.4427240Z [ RUN ] TensorIndexingTest.TestOutOfBoundIndex 2025-12-04T09:27:08.4430830Z [ OK ] TensorIndexingTest.TestOutOfBoundIndex (0 ms) 2025-12-04T09:27:08.4431317Z [ RUN ] TensorIndexingTest.TestZeroDimIndex 2025-12-04T09:27:08.4431856Z [ OK ] TensorIndexingTest.TestZeroDimIndex (0 ms) 2025-12-04T09:27:08.4432272Z [----------] 36 tests from TensorIndexingTest (25 ms total) 2025-12-04T09:27:08.4432599Z 2025-12-04T09:27:08.4432770Z [----------] 18 tests from NumpyTests 2025-12-04T09:27:08.4433140Z [ RUN ] NumpyTests.TestNoneIndex 2025-12-04T09:27:08.4433483Z [ OK ] NumpyTests.TestNoneIndex (0 ms) 2025-12-04T09:27:08.4433832Z [ RUN ] NumpyTests.TestEmptyFancyIndex 2025-12-04T09:27:08.4436239Z [ OK ] NumpyTests.TestEmptyFancyIndex (0 ms) 2025-12-04T09:27:08.4436623Z [ RUN ] NumpyTests.TestEllipsisIndex 2025-12-04T09:27:08.4442145Z [ OK ] NumpyTests.TestEllipsisIndex (0 ms) 2025-12-04T09:27:08.4442504Z [ RUN ] NumpyTests.TestSingleIntIndex 2025-12-04T09:27:08.4445837Z [ OK ] NumpyTests.TestSingleIntIndex (0 ms) 2025-12-04T09:27:08.4446213Z [ RUN ] NumpyTests.TestSingleBoolIndex 2025-12-04T09:27:08.4450411Z [ OK ] NumpyTests.TestSingleBoolIndex (0 ms) 2025-12-04T09:27:08.4450792Z [ RUN ] NumpyTests.TestBooleanShapeMismatch 2025-12-04T09:27:08.4457411Z [ OK ] NumpyTests.TestBooleanShapeMismatch (0 ms) 2025-12-04T09:27:08.4457826Z [ RUN ] NumpyTests.TestBooleanIndexingOnedim 2025-12-04T09:27:08.4462455Z [ OK ] NumpyTests.TestBooleanIndexingOnedim (0 ms) 2025-12-04T09:27:08.4462909Z [ RUN ] NumpyTests.TestBooleanAssignmentValueMismatch 2025-12-04T09:27:08.4468683Z [ OK ] NumpyTests.TestBooleanAssignmentValueMismatch (0 ms) 2025-12-04T09:27:08.4469142Z [ RUN ] NumpyTests.TestBooleanIndexingTwodim 2025-12-04T09:27:08.4480950Z [ OK ] NumpyTests.TestBooleanIndexingTwodim (1 ms) 2025-12-04T09:27:08.4481387Z [ RUN ] NumpyTests.TestBooleanIndexingWeirdness 2025-12-04T09:27:08.4499475Z [ OK ] NumpyTests.TestBooleanIndexingWeirdness (1 ms) 2025-12-04T09:27:08.4499930Z [ RUN ] NumpyTests.TestBooleanIndexingWeirdnessTensors 2025-12-04T09:27:08.4508704Z [ OK ] NumpyTests.TestBooleanIndexingWeirdnessTensors (0 ms) 2025-12-04T09:27:08.4509180Z [ RUN ] NumpyTests.TestBooleanIndexingAlldims 2025-12-04T09:27:08.4511906Z [ OK ] NumpyTests.TestBooleanIndexingAlldims (0 ms) 2025-12-04T09:27:08.4512308Z [ RUN ] NumpyTests.TestBooleanListIndexing 2025-12-04T09:27:08.4521974Z [ OK ] NumpyTests.TestBooleanListIndexing (0 ms) 2025-12-04T09:27:08.4522560Z [ RUN ] NumpyTests.TestEverythingReturnsViews 2025-12-04T09:27:08.4522988Z [ OK ] NumpyTests.TestEverythingReturnsViews (0 ms) 2025-12-04T09:27:08.4523387Z [ RUN ] NumpyTests.TestBroaderrorsIndexing 2025-12-04T09:27:08.4528012Z [ OK ] NumpyTests.TestBroaderrorsIndexing (0 ms) 2025-12-04T09:27:08.4528424Z [ RUN ] NumpyTests.TestTrivialFancyOutOfBounds 2025-12-04T09:27:08.4575899Z [ OK ] NumpyTests.TestTrivialFancyOutOfBounds (4 ms) 2025-12-04T09:27:08.4576343Z [ RUN ] NumpyTests.TestIndexIsLarger 2025-12-04T09:27:08.4580085Z [ OK ] NumpyTests.TestIndexIsLarger (0 ms) 2025-12-04T09:27:08.4580475Z [ RUN ] NumpyTests.TestBroadcastSubspace 2025-12-04T09:27:08.4588825Z [ OK ] NumpyTests.TestBroadcastSubspace (0 ms) 2025-12-04T09:27:08.4589229Z [----------] 18 tests from NumpyTests (15 ms total) 2025-12-04T09:27:08.4589472Z 2025-12-04T09:27:08.4589611Z [----------] 5 tests from TensorOptionsTest 2025-12-04T09:27:08.4589997Z [ RUN ] TensorOptionsTest.DefaultsToTheRightValues 2025-12-04T09:27:08.4590618Z [ OK ] TensorOptionsTest.DefaultsToTheRightValues (0 ms) 2025-12-04T09:27:08.4591173Z [ RUN ] TensorOptionsTest.UtilityFunctionsReturnTheRightTensorOptions 2025-12-04T09:27:08.4591924Z [ OK ] TensorOptionsTest.UtilityFunctionsReturnTheRightTensorOptions (0 ms) 2025-12-04T09:27:08.4592610Z [ RUN ] TensorOptionsTest.ConstructsWellFromCPUTypes 2025-12-04T09:27:08.4593086Z [ OK ] TensorOptionsTest.ConstructsWellFromCPUTypes (0 ms) 2025-12-04T09:27:08.4593574Z [ RUN ] TensorOptionsTest.ConstructsWellFromCPUTensors 2025-12-04T09:27:08.4594684Z [ OK ] TensorOptionsTest.ConstructsWellFromCPUTensors (0 ms) 2025-12-04T09:27:08.4595211Z [ RUN ] TensorOptionsTest.ConstructsWellFromVariables 2025-12-04T09:27:08.4595770Z [ OK ] TensorOptionsTest.ConstructsWellFromVariables (0 ms) 2025-12-04T09:27:08.4596232Z [----------] 5 tests from TensorOptionsTest (0 ms total) 2025-12-04T09:27:08.4596488Z 2025-12-04T09:27:08.4596671Z [----------] 1 test from DeviceTest 2025-12-04T09:27:08.4597024Z [ RUN ] DeviceTest.ParsesCorrectlyFromString 2025-12-04T09:27:08.4598149Z [W1204 09:27:08.132406745 Device.cpp:42] Warning: 'mkldnn' is no longer used as device type. So torch.device('mkldnn') will be deprecated and removed in the future. Please use other valid device types instead. (function operator()) 2025-12-04T09:27:08.4599242Z [ OK ] DeviceTest.ParsesCorrectlyFromString (0 ms) 2025-12-04T09:27:08.4599642Z [----------] 1 test from DeviceTest (0 ms total) 2025-12-04T09:27:08.4599877Z 2025-12-04T09:27:08.4599993Z [----------] 3 tests from DefaultDtypeTest 2025-12-04T09:27:08.4600377Z [ RUN ] DefaultDtypeTest.CanSetAndGetDefaultDtype 2025-12-04T09:27:08.4600829Z [ OK ] DefaultDtypeTest.CanSetAndGetDefaultDtype (0 ms) 2025-12-04T09:27:08.4601307Z [ RUN ] DefaultDtypeTest.NewTensorOptionsHasCorrectDefault 2025-12-04T09:27:08.4602042Z [ OK ] DefaultDtypeTest.NewTensorOptionsHasCorrectDefault (0 ms) 2025-12-04T09:27:08.4602588Z [ RUN ] DefaultDtypeTest.NewTensorsHaveCorrectDefaultDtype 2025-12-04T09:27:08.4603124Z [ OK ] DefaultDtypeTest.NewTensorsHaveCorrectDefaultDtype (0 ms) 2025-12-04T09:27:08.4603604Z [----------] 3 tests from DefaultDtypeTest (0 ms total) 2025-12-04T09:27:08.4603867Z 2025-12-04T09:27:08.4603979Z [----------] 1 test from TorchIncludeTest 2025-12-04T09:27:08.4604337Z [ RUN ] TorchIncludeTest.GetSetNumThreads 2025-12-04T09:27:08.4604724Z [ OK ] TorchIncludeTest.GetSetNumThreads (0 ms) 2025-12-04T09:27:08.4605122Z [----------] 1 test from TorchIncludeTest (0 ms total) 2025-12-04T09:27:08.4605377Z 2025-12-04T09:27:08.4605496Z [----------] 28 tests from InferenceModeTest 2025-12-04T09:27:08.4605850Z [ RUN ] InferenceModeTest.TestTLSState 2025-12-04T09:27:08.4606209Z [ OK ] InferenceModeTest.TestTLSState (0 ms) 2025-12-04T09:27:08.4606757Z [ RUN ] InferenceModeTest.TestInferenceTensorCreation 2025-12-04T09:27:08.4607359Z [ OK ] InferenceModeTest.TestInferenceTensorCreation (0 ms) 2025-12-04T09:27:08.4607835Z [ RUN ] InferenceModeTest.TestExistingAutogradSession 2025-12-04T09:27:08.4608382Z [ OK ] InferenceModeTest.TestExistingAutogradSession (0 ms) 2025-12-04T09:27:08.4609102Z [ RUN ] InferenceModeTest.TestInferenceTensorInInferenceModeFunctionalOp 2025-12-04T09:27:08.4609851Z [ OK ] InferenceModeTest.TestInferenceTensorInInferenceModeFunctionalOp (0 ms) 2025-12-04T09:27:08.4610525Z [ RUN ] InferenceModeTest.TestInferenceTensorInInferenceModeInplaceOp 2025-12-04T09:27:08.4611310Z [ OK ] InferenceModeTest.TestInferenceTensorInInferenceModeInplaceOp (0 ms) 2025-12-04T09:27:08.4611978Z [ RUN ] InferenceModeTest.TestInferenceTensorInInferenceModeViewOp 2025-12-04T09:27:08.4612626Z [ OK ] InferenceModeTest.TestInferenceTensorInInferenceModeViewOp (0 ms) 2025-12-04T09:27:08.4613272Z [ RUN ] InferenceModeTest.TestInferenceTensorInNormalModeFunctionalOp 2025-12-04T09:27:08.4614073Z [ OK ] InferenceModeTest.TestInferenceTensorInNormalModeFunctionalOp (0 ms) 2025-12-04T09:27:08.4614791Z [ RUN ] InferenceModeTest.TestInferenceTensorInNormalModeInplaceOp 2025-12-04T09:27:08.4615495Z [ OK ] InferenceModeTest.TestInferenceTensorInNormalModeInplaceOp (0 ms) 2025-12-04T09:27:08.4616105Z [ RUN ] InferenceModeTest.TestInferenceTensorInNormalModeViewOp 2025-12-04T09:27:08.4616693Z [ OK ] InferenceModeTest.TestInferenceTensorInNormalModeViewOp (0 ms) 2025-12-04T09:27:08.4617328Z [ RUN ] InferenceModeTest.TestNormalTensorInplaceOutputInInferenceMode 2025-12-04T09:27:08.4618055Z [ OK ] InferenceModeTest.TestNormalTensorInplaceOutputInInferenceMode (0 ms) 2025-12-04T09:27:08.4618709Z [ RUN ] InferenceModeTest.TestNormalTensorInplaceOutputInNormalMode 2025-12-04T09:27:08.4619347Z [ OK ] InferenceModeTest.TestNormalTensorInplaceOutputInNormalMode (0 ms) 2025-12-04T09:27:08.4620033Z [ RUN ] InferenceModeTest.TestNormalTensorViewOutputInInferenceMode 2025-12-04T09:27:08.4620683Z [ OK ] InferenceModeTest.TestNormalTensorViewOutputInInferenceMode (0 ms) 2025-12-04T09:27:08.4621300Z [ RUN ] InferenceModeTest.TestNormalTensorViewOutputInNormalMode 2025-12-04T09:27:08.4624678Z [ OK ] InferenceModeTest.TestNormalTensorViewOutputInNormalMode (0 ms) 2025-12-04T09:27:08.4625296Z [ RUN ] InferenceModeTest.TestMixInferenceAndNormalTensorFunctionalOp 2025-12-04T09:27:08.4630423Z [ OK ] InferenceModeTest.TestMixInferenceAndNormalTensorFunctionalOp (0 ms) 2025-12-04T09:27:08.4631065Z [ RUN ] InferenceModeTest.TestMixInferenceAndNormalTensorInplaceOp 2025-12-04T09:27:08.4647761Z [ OK ] InferenceModeTest.TestMixInferenceAndNormalTensorInplaceOp (1 ms) 2025-12-04T09:27:08.4648408Z [ RUN ] InferenceModeTest.TestMixInferenceAndNormalTensorViewOp 2025-12-04T09:27:08.4649029Z [ OK ] InferenceModeTest.TestMixInferenceAndNormalTensorViewOp (0 ms) 2025-12-04T09:27:08.4649579Z [ RUN ] InferenceModeTest.TestHandleDirectViewOnRebase 2025-12-04T09:27:08.4651953Z [ OK ] InferenceModeTest.TestHandleDirectViewOnRebase (0 ms) 2025-12-04T09:27:08.4652446Z [ RUN ] InferenceModeTest.TestHandleInDirectViewOnRebase 2025-12-04T09:27:08.4655632Z [ OK ] InferenceModeTest.TestHandleInDirectViewOnRebase (0 ms) 2025-12-04T09:27:08.4656164Z [ RUN ] InferenceModeTest.TestCreationMetaPropagation 2025-12-04T09:27:08.4657532Z [ OK ] InferenceModeTest.TestCreationMetaPropagation (0 ms) 2025-12-04T09:27:08.4658031Z [ RUN ] InferenceModeTest.TestCreationMetaPropagationInput 2025-12-04T09:27:08.4662090Z [ OK ] InferenceModeTest.TestCreationMetaPropagationInput (0 ms) 2025-12-04T09:27:08.4662629Z [ RUN ] InferenceModeTest.TestInplaceCopyOnInferenceTensor 2025-12-04T09:27:08.4664364Z [ OK ] InferenceModeTest.TestInplaceCopyOnInferenceTensor (0 ms) 2025-12-04T09:27:08.4664887Z [ RUN ] InferenceModeTest.TestSetRequiresGradInNormalMode 2025-12-04T09:27:08.4665410Z [ OK ] InferenceModeTest.TestSetRequiresGradInNormalMode (0 ms) 2025-12-04T09:27:08.4665970Z [ RUN ] InferenceModeTest.TestAccessVersionCounter 2025-12-04T09:27:08.4666427Z [ OK ] InferenceModeTest.TestAccessVersionCounter (0 ms) 2025-12-04T09:27:08.4667014Z [ RUN ] InferenceModeTest.TestInplaceUpdateInferenceTensorWithNormalTensor 2025-12-04T09:27:08.4668324Z [ OK ] InferenceModeTest.TestInplaceUpdateInferenceTensorWithNormalTensor (0 ms) 2025-12-04T09:27:08.4668956Z [ RUN ] InferenceModeTest.TestComplexViewInInferenceMode 2025-12-04T09:27:08.4671183Z [ OK ] InferenceModeTest.TestComplexViewInInferenceMode (0 ms) 2025-12-04T09:27:08.4671692Z [ RUN ] InferenceModeTest.TestComplexViewInNormalMode 2025-12-04T09:27:08.4672186Z [ OK ] InferenceModeTest.TestComplexViewInNormalMode (0 ms) 2025-12-04T09:27:08.4672647Z [ RUN ] InferenceModeTest.TestCustomFunction 2025-12-04T09:27:08.4675688Z [ OK ] InferenceModeTest.TestCustomFunction (0 ms) 2025-12-04T09:27:08.4676207Z [ RUN ] InferenceModeTest.TestLegacyAutoNonVariableTypeModeWarning 2025-12-04T09:27:08.4677052Z [ OK ] InferenceModeTest.TestLegacyAutoNonVariableTypeModeWarning (0 ms) 2025-12-04T09:27:08.4677663Z [----------] 28 tests from InferenceModeTest (7 ms total) 2025-12-04T09:27:08.4678077Z 2025-12-04T09:27:08.4678187Z [----------] 4 tests from GradModeTest 2025-12-04T09:27:08.4678562Z [ RUN ] GradModeTest.TestRequiresGradFunctionalOp 2025-12-04T09:27:08.4679017Z [ OK ] GradModeTest.TestRequiresGradFunctionalOp (0 ms) 2025-12-04T09:27:08.4679442Z [ RUN ] GradModeTest.TestRequiresGradInplaceOp 2025-12-04T09:27:08.4679869Z [ OK ] GradModeTest.TestRequiresGradInplaceOp (0 ms) 2025-12-04T09:27:08.4680289Z [ RUN ] GradModeTest.TestRequiresGradViewOp 2025-12-04T09:27:08.4680695Z [ OK ] GradModeTest.TestRequiresGradViewOp (0 ms) 2025-12-04T09:27:08.4681103Z [ RUN ] GradModeTest.TestRequiresGradViewOpExiting 2025-12-04T09:27:08.4683428Z [ OK ] GradModeTest.TestRequiresGradViewOpExiting (0 ms) 2025-12-04T09:27:08.4683864Z [----------] 4 tests from GradModeTest (0 ms total) 2025-12-04T09:27:08.4684106Z 2025-12-04T09:27:08.4684212Z [----------] 3 tests from OperationTest 2025-12-04T09:27:08.4684536Z [ RUN ] OperationTest.Lerp 2025-12-04T09:27:08.4741736Z [ OK ] OperationTest.Lerp (5 ms) 2025-12-04T09:27:08.4742095Z [ RUN ] OperationTest.Cross 2025-12-04T09:27:08.4795546Z [W1204 09:27:08.152418471 Cross.cpp:67] Warning: Using torch.cross without specifying the dim arg is deprecated. 2025-12-04T09:27:08.4796260Z Please either pass the dim explicitly or simply use torch.linalg.cross. 2025-12-04T09:27:08.4796977Z The default value of dim will change to agree with that of linalg.cross in a future release. (function operator()) 2025-12-04T09:27:08.5298944Z [ OK ] OperationTest.Cross (55 ms) 2025-12-04T09:27:08.5299311Z [ RUN ] OperationTest.Linear_out 2025-12-04T09:27:08.5318372Z [ OK ] OperationTest.Linear_out (1 ms) 2025-12-04T09:27:08.5318827Z [----------] 3 tests from OperationTest (63 ms total) 2025-12-04T09:27:08.5319076Z 2025-12-04T09:27:08.5319203Z [----------] 2 tests from NestedIntTest 2025-12-04T09:27:08.5319533Z [ RUN ] NestedIntTest.Comparisons 2025-12-04T09:27:08.5329648Z [ OK ] NestedIntTest.Comparisons (1 ms) 2025-12-04T09:27:08.5330086Z [ RUN ] NestedIntTest.WithFactor 2025-12-04T09:27:08.5330410Z [ OK ] NestedIntTest.WithFactor (0 ms) 2025-12-04T09:27:08.5330777Z [----------] 2 tests from NestedIntTest (1 ms total) 2025-12-04T09:27:08.5331018Z 2025-12-04T09:27:08.5331155Z [----------] Global test environment tear-down 2025-12-04T09:27:08.5809441Z [==========] 1010 tests from 51 test suites ran. (261757 ms total) 2025-12-04T09:27:08.5809867Z [ PASSED ] 1010 tests. 2025-12-04T09:27:09.0880610Z + [[ linux-jammy-py3.10-clang18-asan != *android* ]] 2025-12-04T09:27:09.0881069Z + [[ linux-jammy-py3.10-clang18-asan != *cuda* ]] 2025-12-04T09:27:09.0881459Z + [[ linux-jammy-py3.10-clang18-asan != *asan* ]] 2025-12-04T09:27:09.0881789Z + [[ -z 1 ]] 2025-12-04T09:27:09.0882007Z + [[ 1 == \2 ]] 2025-12-04T09:27:09.0882308Z + assert_git_not_dirty 2025-12-04T09:27:09.0882594Z + [[ linux-jammy-py3.10-clang18-asan != *rocm* ]] 2025-12-04T09:27:09.0887298Z + [[ linux-jammy-py3.10-clang18-asan != *xla* ]] 2025-12-04T09:27:09.0887919Z ++ git status --porcelain 2025-12-04T09:27:09.0888410Z ++ grep -v '?? third_party' 2025-12-04T09:27:09.8776397Z ++ true 2025-12-04T09:27:09.8776841Z + git_status= 2025-12-04T09:27:09.8777259Z + [[ -n '' ]] 2025-12-04T09:27:09.8777550Z + [[ linux-jammy-py3.10-clang18-asan == *xpu* ]] 2025-12-04T09:27:09.8795789Z + sccache_epilogue 2025-12-04T09:27:09.8796305Z + echo '::group::Sccache Compilation Log' 2025-12-04T09:27:09.8797217Z ##[group]Sccache Compilation Log 2025-12-04T09:27:09.8797585Z + echo '=================== sccache compilation log ===================' 2025-12-04T09:27:09.8798015Z =================== sccache compilation log =================== 2025-12-04T09:27:09.8798646Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log 2025-12-04T09:27:09.9008283Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ===========' 2025-12-04T09:27:09.9009121Z =========== If your build fails, please take a look at the log above for possible reasons =========== 2025-12-04T09:27:09.9009623Z + sccache --show-stats 2025-12-04T09:27:09.9083655Z Compile requests 163 2025-12-04T09:27:09.9084353Z Compile requests executed 58 2025-12-04T09:27:09.9084690Z Cache hits 21 2025-12-04T09:27:09.9085020Z Cache hits (C/C++) 21 2025-12-04T09:27:09.9085321Z Cache misses 37 2025-12-04T09:27:09.9085630Z Cache misses (C/C++) 37 2025-12-04T09:27:09.9085950Z Cache hits rate 36.21 % 2025-12-04T09:27:09.9086263Z Cache hits rate (C/C++) 36.21 % 2025-12-04T09:27:09.9086587Z Cache timeouts 0 2025-12-04T09:27:09.9086903Z Cache read errors 0 2025-12-04T09:27:09.9087248Z Forced recaches 0 2025-12-04T09:27:09.9087555Z Cache write errors 0 2025-12-04T09:27:09.9087890Z Cache errors 0 2025-12-04T09:27:09.9088204Z Compilations 37 2025-12-04T09:27:09.9088514Z Compilation failures 0 2025-12-04T09:27:09.9088853Z Non-cacheable compilations 0 2025-12-04T09:27:09.9089185Z Non-cacheable calls 1 2025-12-04T09:27:09.9089496Z Non-compilation calls 104 2025-12-04T09:27:09.9089831Z Unsupported compiler calls 0 2025-12-04T09:27:09.9090163Z Average cache write 0.036 s 2025-12-04T09:27:09.9090479Z Average compiler 13.698 s 2025-12-04T09:27:09.9090810Z Average cache read hit 0.085 s 2025-12-04T09:27:09.9091143Z Failed distributed compilations 0 2025-12-04T09:27:09.9091364Z 2025-12-04T09:27:09.9091475Z Non-cacheable reasons: 2025-12-04T09:27:09.9091729Z - 1 2025-12-04T09:27:09.9091945Z 2025-12-04T09:27:09.9092181Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-12-04T09:27:09.9092650Z Version (client) 0.10.0 2025-12-04T09:27:09.9094460Z + sccache --stop-server 2025-12-04T09:27:09.9151510Z Stopping sccache server... 2025-12-04T09:27:09.9156138Z Compile requests 163 2025-12-04T09:27:09.9156752Z Compile requests executed 58 2025-12-04T09:27:09.9157333Z Cache hits 21 2025-12-04T09:27:09.9157918Z Cache hits (C/C++) 21 2025-12-04T09:27:09.9158535Z Cache misses 37 2025-12-04T09:27:09.9158851Z Cache misses (C/C++) 37 2025-12-04T09:27:09.9159173Z Cache hits rate 36.21 % 2025-12-04T09:27:09.9159502Z Cache hits rate (C/C++) 36.21 % 2025-12-04T09:27:09.9159821Z Cache timeouts 0 2025-12-04T09:27:09.9160136Z Cache read errors 0 2025-12-04T09:27:09.9160452Z Forced recaches 0 2025-12-04T09:27:09.9160767Z Cache write errors 0 2025-12-04T09:27:09.9161078Z Cache errors 0 2025-12-04T09:27:09.9161393Z Compilations 37 2025-12-04T09:27:09.9161717Z Compilation failures 0 2025-12-04T09:27:09.9162040Z Non-cacheable compilations 0 2025-12-04T09:27:09.9162367Z Non-cacheable calls 1 2025-12-04T09:27:09.9162691Z Non-compilation calls 104 2025-12-04T09:27:09.9163010Z Unsupported compiler calls 0 2025-12-04T09:27:09.9163339Z Average cache write 0.036 s 2025-12-04T09:27:09.9163664Z Average compiler 13.698 s 2025-12-04T09:27:09.9163993Z Average cache read hit 0.085 s 2025-12-04T09:27:09.9164315Z Failed distributed compilations 0 2025-12-04T09:27:09.9164548Z 2025-12-04T09:27:09.9164879Z Non-cacheable reasons: 2025-12-04T09:27:09.9165148Z - 1 2025-12-04T09:27:09.9165347Z 2025-12-04T09:27:09.9165577Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-12-04T09:27:09.9167102Z Version (client) 0.10.0 2025-12-04T09:27:09.9167574Z + echo ::endgroup:: 2025-12-04T09:27:09.9168410Z ##[endgroup] 2025-12-04T09:27:09.9168853Z + cleanup_workspace 2025-12-04T09:27:09.9169464Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.' 2025-12-04T09:27:09.9170481Z sudo may print the following warning message that can be ignored. The chown command will still run. 2025-12-04T09:27:09.9171127Z + echo ' sudo: setrlimit(RLIMIT_STACK): Operation not permitted' 2025-12-04T09:27:09.9171590Z sudo: setrlimit(RLIMIT_STACK): Operation not permitted 2025-12-04T09:27:09.9172137Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42' 2025-12-04T09:27:09.9172748Z For more details refer to https://github.com/sudo-project/sudo/issues/42 2025-12-04T09:27:09.9173229Z + sudo chown -R 1000 /var/lib/jenkins/workspace 2025-12-04T09:27:10.5931335Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main 2025-12-04T09:27:10.5931848Z with: 2025-12-04T09:27:10.5932092Z benchmark-results-dir: test/test-reports 2025-12-04T09:27:10.5932423Z dry-run: false 2025-12-04T09:27:10.5932663Z schema-version: v3 2025-12-04T09:27:10.5933113Z github-token: *** 2025-12-04T09:27:10.5933334Z env: 2025-12-04T09:27:10.5933549Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:27:10.5933823Z HAS_NVIDIA_GPU: false 2025-12-04T09:27:10.5934254Z DOCKER_CONTAINER_ID: 03e808ec286a0da396843f5363120c2d611760079419bb038973de7ecd61ea7e 2025-12-04T09:27:10.5934757Z ##[endgroup] 2025-12-04T09:27:10.5952120Z ##[group]Run set -eux 2025-12-04T09:27:10.5952399Z set -eux 2025-12-04T09:27:10.5952663Z  2025-12-04T09:27:10.5952867Z if [[ -n "" ]]; then 2025-12-04T09:27:10.5953141Z  source "" 2025-12-04T09:27:10.5953376Z fi 2025-12-04T09:27:10.5954012Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-12-04T09:27:10.5954453Z  2025-12-04T09:27:10.5954672Z DEVICE_NAME="" 2025-12-04T09:27:10.5954936Z DEVICE_TYPE="" 2025-12-04T09:27:10.5955187Z  2025-12-04T09:27:10.5955408Z if command -v nvidia-smi; then 2025-12-04T09:27:10.5955869Z  # NB: I'm using PyTorch here to get the device name, however, it needs to 2025-12-04T09:27:10.5956462Z  # install the correct version of PyTorch manually for now. Any PyTorch 2025-12-04T09:27:10.5957001Z  # version is fine, I just use 2.7.1 to satify PYPIDEP linter 2025-12-04T09:27:10.5957436Z  python3 -mpip install torch==2.7.1 2025-12-04T09:27:10.5957787Z elif command -v rocminfo; then 2025-12-04T09:27:10.5958233Z  # NB: Installing torch on ROCm runner with pip here causes CI to fail 2025-12-04T09:27:10.5958788Z  # with a memoryview is too large error only on MI300 runners. Is pip 2025-12-04T09:27:10.5959364Z  # version on ROCm runner there too old? As a workaround, let's use the 2025-12-04T09:27:10.5971173Z  # GPU device name coming from rocminfo instead 2025-12-04T09:27:10.5971562Z  DEVICE_NAME=rocm 2025-12-04T09:27:10.5972066Z  DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs) 2025-12-04T09:27:10.5972586Z fi 2025-12-04T09:27:10.5972789Z  2025-12-04T09:27:10.5973067Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV 2025-12-04T09:27:10.5973488Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-12-04T09:27:10.5983019Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:27:10.5983528Z env: 2025-12-04T09:27:10.5983754Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:27:10.5984016Z HAS_NVIDIA_GPU: false 2025-12-04T09:27:10.5984461Z DOCKER_CONTAINER_ID: 03e808ec286a0da396843f5363120c2d611760079419bb038973de7ecd61ea7e 2025-12-04T09:27:10.5984981Z ##[endgroup] 2025-12-04T09:27:10.6019071Z + [[ -n '' ]] 2025-12-04T09:27:10.6019462Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-12-04T09:27:11.0377453Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T09:27:12.1662662Z Collecting boto3==1.35.33 2025-12-04T09:27:12.1821031Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-12-04T09:27:12.5057994Z Collecting psutil==7.0.0 2025-12-04T09:27:12.5092304Z 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) 2025-12-04T09:27:12.5373570Z Collecting pynvml==12.0.0 2025-12-04T09:27:12.5404246Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-12-04T09:27:12.5900936Z Collecting s3transfer<0.11.0,>=0.10.0 2025-12-04T09:27:12.5933559Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-12-04T09:27:13.8096122Z Collecting botocore<1.36.0,>=1.35.33 2025-12-04T09:27:13.8130587Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-12-04T09:27:13.9618984Z 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) 2025-12-04T09:27:14.0052925Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-12-04T09:27:14.0083226Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-12-04T09:27:14.0172703Z 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) 2025-12-04T09:27:14.0178695Z 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) 2025-12-04T09:27:14.2610653Z 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) 2025-12-04T09:27:14.4029387Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-12-04T09:27:14.9137103Z Attempting uninstall: nvidia-ml-py 2025-12-04T09:27:14.9138314Z Found existing installation: nvidia-ml-py 11.525.84 2025-12-04T09:27:14.9157182Z Uninstalling nvidia-ml-py-11.525.84: 2025-12-04T09:27:14.9383860Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-12-04T09:27:15.0013936Z Attempting uninstall: psutil 2025-12-04T09:27:15.0014832Z Found existing installation: psutil 5.9.8 2025-12-04T09:27:15.0089749Z Uninstalling psutil-5.9.8: 2025-12-04T09:27:15.0096210Z Successfully uninstalled psutil-5.9.8 2025-12-04T09:27:15.1794181Z 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 2025-12-04T09:27:15.2918226Z + DEVICE_NAME= 2025-12-04T09:27:15.2918493Z + DEVICE_TYPE= 2025-12-04T09:27:15.2918736Z + command -v nvidia-smi 2025-12-04T09:27:15.2919001Z + command -v rocminfo 2025-12-04T09:27:15.2919252Z + echo DEVICE_NAME= 2025-12-04T09:27:15.2920485Z + echo DEVICE_TYPE= 2025-12-04T09:27:15.2944683Z ##[group]Run set -eux 2025-12-04T09:27:15.2944961Z set -eux 2025-12-04T09:27:15.2945186Z  2025-12-04T09:27:15.2945416Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-12-04T09:27:15.2945775Z  echo "Missing github-token input" 2025-12-04T09:27:15.2946099Z  exit 1 2025-12-04T09:27:15.2946324Z fi 2025-12-04T09:27:15.2952125Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:27:15.2952537Z env: 2025-12-04T09:27:15.2952867Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:27:15.2953166Z HAS_NVIDIA_GPU: false 2025-12-04T09:27:15.2953607Z DOCKER_CONTAINER_ID: 03e808ec286a0da396843f5363120c2d611760079419bb038973de7ecd61ea7e 2025-12-04T09:27:15.2954110Z DEVICE_NAME: 2025-12-04T09:27:15.2954343Z DEVICE_TYPE: 2025-12-04T09:27:15.2954810Z GITHUB_TOKEN: *** 2025-12-04T09:27:15.2955041Z ##[endgroup] 2025-12-04T09:27:15.2980224Z + [[ -z *** ]] 2025-12-04T09:27:15.3021946Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-12-04T09:27:15.3022551Z with: 2025-12-04T09:27:15.3022914Z github-token: *** 2025-12-04T09:27:15.3023131Z env: 2025-12-04T09:27:15.3023345Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:27:15.3023725Z HAS_NVIDIA_GPU: false 2025-12-04T09:27:15.3024159Z DOCKER_CONTAINER_ID: 03e808ec286a0da396843f5363120c2d611760079419bb038973de7ecd61ea7e 2025-12-04T09:27:15.3024659Z DEVICE_NAME: 2025-12-04T09:27:15.3024891Z DEVICE_TYPE: 2025-12-04T09:27:15.3025120Z ##[endgroup] 2025-12-04T09:27:15.3038916Z ##[group]Run set -eux 2025-12-04T09:27:15.3039171Z set -eux 2025-12-04T09:27:15.3039403Z  2025-12-04T09:27:15.3039895Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-12-04T09:27:15.3045553Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:27:15.3045938Z env: 2025-12-04T09:27:15.3046159Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:27:15.3046437Z HAS_NVIDIA_GPU: false 2025-12-04T09:27:15.3047037Z DOCKER_CONTAINER_ID: 03e808ec286a0da396843f5363120c2d611760079419bb038973de7ecd61ea7e 2025-12-04T09:27:15.3047545Z DEVICE_NAME: 2025-12-04T09:27:15.3047775Z DEVICE_TYPE: 2025-12-04T09:27:15.3048138Z GITHUB_TOKEN: *** 2025-12-04T09:27:15.3048374Z ##[endgroup] 2025-12-04T09:27:15.3072352Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 19922814090 i-0be29fe326b4d7d4d 2025-12-04T09:27:17.6692558Z setting job-id=57116446492 2025-12-04T09:27:17.6693187Z setting job-name=linux-jammy-py3.10-clang18-asan / test (default, 1, 7, linux.4xlarge, rerun_disabled_tests) 2025-12-04T09:27:17.6804671Z ##[group]Run set -eux 2025-12-04T09:27:17.6804956Z set -eux 2025-12-04T09:27:17.6805187Z  2025-12-04T09:27:17.6805394Z if [[ -n "" ]]; then 2025-12-04T09:27:17.6805668Z  source "" 2025-12-04T09:27:17.6805909Z fi 2025-12-04T09:27:17.6806106Z  2025-12-04T09:27:17.6806531Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-12-04T09:27:17.6807057Z  --schema-version "${SCHEMA_VERSION}" \ 2025-12-04T09:27:17.6807408Z  --repo "${REPO}" \ 2025-12-04T09:27:17.6807698Z  --head-branch "${HEAD_BRANCH}" \ 2025-12-04T09:27:17.6808029Z  --head-sha "${HEAD_SHA}" \ 2025-12-04T09:27:17.6808369Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-12-04T09:27:17.6808714Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-12-04T09:27:17.6809042Z  --job-id "${JOB_ID}" \ 2025-12-04T09:27:17.6809341Z  --job-name "${JOB_NAME}" 2025-12-04T09:27:17.6815290Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:27:17.6815681Z env: 2025-12-04T09:27:17.6815902Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:27:17.6816165Z HAS_NVIDIA_GPU: false 2025-12-04T09:27:17.6816638Z DOCKER_CONTAINER_ID: 03e808ec286a0da396843f5363120c2d611760079419bb038973de7ecd61ea7e 2025-12-04T09:27:17.6817152Z DEVICE_NAME: 2025-12-04T09:27:17.6817379Z DEVICE_TYPE: 2025-12-04T09:27:17.6817592Z SCHEMA_VERSION: v3 2025-12-04T09:27:17.6817839Z REPO: pytorch/pytorch 2025-12-04T09:27:17.6818101Z HEAD_BRANCH: refs/heads/main 2025-12-04T09:27:17.6818420Z HEAD_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:27:17.6818777Z WORKFLOW_RUN_ID: 19922814090 2025-12-04T09:27:17.6819047Z RUN_ATTEMPT: 1 2025-12-04T09:27:17.6819261Z JOB_ID: 57116446492 2025-12-04T09:27:17.6819749Z JOB_NAME: linux-jammy-py3.10-clang18-asan / test (default, 1, 7, linux.4xlarge, rerun_disabled_tests) 2025-12-04T09:27:17.6820297Z ##[endgroup] 2025-12-04T09:27:17.6844298Z + [[ -n '' ]] 2025-12-04T09:27:17.6846725Z + 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 57116446492 --job-name 'linux-jammy-py3.10-clang18-asan / test (default, 1, 7, linux.4xlarge, rerun_disabled_tests)' 2025-12-04T09:27:17.7161109Z ##[group]Run set -eux 2025-12-04T09:27:17.7161396Z set -eux 2025-12-04T09:27:17.7161633Z  2025-12-04T09:27:17.7161849Z if [[ -n "" ]]; then 2025-12-04T09:27:17.7162133Z  source "" 2025-12-04T09:27:17.7162376Z fi 2025-12-04T09:27:17.7162575Z  2025-12-04T09:27:17.7162973Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-12-04T09:27:17.7168937Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:27:17.7169328Z env: 2025-12-04T09:27:17.7169537Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:27:17.7170001Z HAS_NVIDIA_GPU: false 2025-12-04T09:27:17.7170449Z DOCKER_CONTAINER_ID: 03e808ec286a0da396843f5363120c2d611760079419bb038973de7ecd61ea7e 2025-12-04T09:27:17.7171099Z DEVICE_NAME: 2025-12-04T09:27:17.7171344Z DEVICE_TYPE: 2025-12-04T09:27:17.7171570Z ##[endgroup] 2025-12-04T09:27:17.7194596Z + [[ -n '' ]] 2025-12-04T09:27:17.7195450Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-12-04T09:27:17.7602645Z INFO:root:Fail to import torch to get the device name 2025-12-04T09:27:17.7699633Z ##[group]Run set -eux 2025-12-04T09:27:17.7700044Z set -eux 2025-12-04T09:27:17.7700274Z  2025-12-04T09:27:17.7700528Z # TODO (huydhn): Implement this part 2025-12-04T09:27:17.7700906Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:27:17.7706851Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:27:17.7707240Z env: 2025-12-04T09:27:17.7707447Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:27:17.7707723Z HAS_NVIDIA_GPU: false 2025-12-04T09:27:17.7708189Z DOCKER_CONTAINER_ID: 03e808ec286a0da396843f5363120c2d611760079419bb038973de7ecd61ea7e 2025-12-04T09:27:17.7708704Z DEVICE_NAME: 2025-12-04T09:27:17.7708919Z DEVICE_TYPE: 2025-12-04T09:27:17.7709138Z ##[endgroup] 2025-12-04T09:27:17.7733011Z + echo 'dependencies={}' 2025-12-04T09:27:17.7752660Z ##[group]Run set -eux 2025-12-04T09:27:17.7752937Z set -eux 2025-12-04T09:27:17.7753169Z  2025-12-04T09:27:17.7753388Z if [[ -n "" ]]; then 2025-12-04T09:27:17.7753650Z  source "" 2025-12-04T09:27:17.7753891Z fi 2025-12-04T09:27:17.7754107Z  2025-12-04T09:27:17.7754360Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-12-04T09:27:17.7754809Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-12-04T09:27:17.7755309Z  # We don't want the job to fail if the directory doesn't exist 2025-12-04T09:27:17.7755710Z  exit 0 2025-12-04T09:27:17.7755925Z fi 2025-12-04T09:27:17.7756137Z  2025-12-04T09:27:17.7756391Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-12-04T09:27:17.7756864Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-12-04T09:27:17.7757429Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-12-04T09:27:17.7757859Z  --metadata "${BENCHMARK_METADATA}" \ 2025-12-04T09:27:17.7758214Z  --runners "${RUNNER_INFO}" \ 2025-12-04T09:27:17.7758550Z  --dependencies "${DEPENDENCIES}" \ 2025-12-04T09:27:17.7758885Z  --dry-run 2025-12-04T09:27:17.7759132Z else 2025-12-04T09:27:17.7759497Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-12-04T09:27:17.7760058Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-12-04T09:27:17.7760487Z  --metadata "${BENCHMARK_METADATA}" \ 2025-12-04T09:27:17.7760843Z  --runners "${RUNNER_INFO}" \ 2025-12-04T09:27:17.7761182Z  --dependencies "${DEPENDENCIES}" 2025-12-04T09:27:17.7761652Z fi 2025-12-04T09:27:17.7766989Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:27:17.7767354Z env: 2025-12-04T09:27:17.7767571Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:27:17.7767842Z HAS_NVIDIA_GPU: false 2025-12-04T09:27:17.7768271Z DOCKER_CONTAINER_ID: 03e808ec286a0da396843f5363120c2d611760079419bb038973de7ecd61ea7e 2025-12-04T09:27:17.7768767Z DEVICE_NAME: 2025-12-04T09:27:17.7768994Z DEVICE_TYPE: 2025-12-04T09:27:17.7769382Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-12-04T09:27:17.7769844Z DRY_RUN: false 2025-12-04T09:27:17.7771271Z BENCHMARK_METADATA: {"timestamp": 1764840437, "schema_version": "v3", "name": "linux-jammy-py3.10-clang18-asan / test (default, 1, 7, linux.4xlarge, rerun_disabled_tests)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19922814090, "run_attempt": 1, "job_id": 57116446492} 2025-12-04T09:27:17.7773258Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 30, "extra_info": {"hostname": "ip-10-0-50-155.ec2.internal"}, "name": "", "type": ""}] 2025-12-04T09:27:17.7774041Z DEPENDENCIES: {} 2025-12-04T09:27:17.7774276Z ##[endgroup] 2025-12-04T09:27:17.7796652Z + [[ -n '' ]] 2025-12-04T09:27:17.7796917Z + [[ ! -d test/test-reports ]] 2025-12-04T09:27:17.7797217Z + [[ false == \t\r\u\e ]] 2025-12-04T09:27:17.7800100Z + 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": 1764840437, "schema_version": "v3", "name": "linux-jammy-py3.10-clang18-asan / test (default, 1, 7, linux.4xlarge, rerun_disabled_tests)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19922814090, "run_attempt": 1, "job_id": 57116446492}' --runners '[{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 30, "extra_info": {"hostname": "ip-10-0-50-155.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}' 2025-12-04T09:27:17.9204785Z /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-b0432ab997b9cd073bc3.json is not a benchmark record, skipping 2025-12-04T09:27:17.9206481Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T09:27:17.9287644Z /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': 'dynamo/test_dynamic_shapes'}, {'test_file': 'dynamo/test_repros'}, {'test_file': 'dynamo/test_misc'}, {'test_file': 'inductor/test_cpu_select_algorithm'}, {'test_file': 'inductor/test_aot_inductor_arrayref'}, {'test_file': 'inductor/test_cpu_cpp_wrapper'}, {'test_file': 'test_custom_ops'}, {'test_file': 'inductor/test_extension_backend'}, {'test_file': 'dynamo/test_functions'}, {'test_file': 'dynamo/test_dicts'}, {'test_file': 'dynamo/test_aot_compile'}, {'test_file': 'dynamo/test_sets'}, {'test_file': 'dynamo/test_fake_distributed'}, {'test_file': 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'test_torchfuzz_repros'}, {'test_file': 'distributions/test_distributions'}, {'test_file': 'test_autoload_disable'}, {'test_file': 'test_autoload_enable'}, {'test_file': 'test_cpp_extensions_aot_ninja'}, {'test_file': 'test_cpp_extensions_aot_no_ninja'}], 'excluded': []} from test/test-reports/td_exclusions-0e20ebdff2cba40b21b4.json is not a benchmark record, skipping 2025-12-04T09:27:17.9366745Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T09:27:17.9370797Z /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-0c1931e48eb9aca1c1ba.json is not a benchmark record, skipping 2025-12-04T09:27:17.9374676Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T09:27:17.9453605Z ##[group]Run cat test/**/*_toprint.log || true 2025-12-04T09:27:17.9454014Z cat test/**/*_toprint.log || true 2025-12-04T09:27:17.9459935Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:27:17.9460307Z env: 2025-12-04T09:27:17.9460530Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:27:17.9460800Z HAS_NVIDIA_GPU: false 2025-12-04T09:27:17.9461229Z DOCKER_CONTAINER_ID: 03e808ec286a0da396843f5363120c2d611760079419bb038973de7ecd61ea7e 2025-12-04T09:27:17.9461725Z DEVICE_NAME: 2025-12-04T09:27:17.9461951Z DEVICE_TYPE: 2025-12-04T09:27:17.9462172Z ##[endgroup] 2025-12-04T09:27:17.9551700Z Test results will be stored in test-reports/python-pytest/test_ci_sanity_check_fail/test_ci_sanity_check_fail-574d4253ec09daee.xml 2025-12-04T09:27:17.9552462Z ============================= test session starts ============================== 2025-12-04T09:27:17.9553240Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T09:27:17.9553759Z cachedir: .pytest_cache 2025-12-04T09:27:17.9554382Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T09:27:17.9555064Z rootdir: /var/lib/jenkins/workspace 2025-12-04T09:27:17.9555377Z configfile: pytest.ini 2025-12-04T09:27:17.9555998Z 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 2025-12-04T09:27:17.9556689Z collecting ... collected 2 items 2025-12-04T09:27:17.9557045Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T09:27:17.9557408Z Running 0 items in this shard: 2025-12-04T09:27:17.9557604Z 2025-12-04T09:27:17.9558226Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ci_sanity_check_fail/test_ci_sanity_check_fail-574d4253ec09daee.xml - 2025-12-04T09:27:17.9559265Z ============================ no tests ran in 0.01s ============================= 2025-12-04T09:27:17.9583179Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-12-04T09:27:17.9583657Z kill "$MONITOR_SCRIPT_PID" 2025-12-04T09:27:17.9589200Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:27:17.9589580Z env: 2025-12-04T09:27:17.9589798Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:27:17.9590072Z HAS_NVIDIA_GPU: false 2025-12-04T09:27:17.9590505Z DOCKER_CONTAINER_ID: 03e808ec286a0da396843f5363120c2d611760079419bb038973de7ecd61ea7e 2025-12-04T09:27:17.9591004Z DEVICE_NAME: 2025-12-04T09:27:17.9591231Z DEVICE_TYPE: 2025-12-04T09:27:17.9591475Z MONITOR_SCRIPT_PID: 44156 2025-12-04T09:27:17.9591734Z ##[endgroup] 2025-12-04T09:27:17.9629466Z /home/ec2-user/actions-runner/_work/_temp/75518ac7-e615-4c59-a4f0-dd1835e006fd.sh: line 1: kill: (44156) - No such process 2025-12-04T09:27:17.9639758Z ##[error]Process completed with exit code 1. 2025-12-04T09:27:17.9781164Z Prepare all required actions 2025-12-04T09:27:17.9781598Z Getting action download info 2025-12-04T09:27:18.2100970Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-12-04T09:27:18.4282557Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-12-04T09:27:18.8506257Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-12-04T09:27:18.8506606Z with: 2025-12-04T09:27:18.8506915Z file-suffix: test-default-1-7-linux.4xlarge_57116446492 2025-12-04T09:27:18.8507302Z s3-bucket: gha-artifacts 2025-12-04T09:27:18.8507566Z env: 2025-12-04T09:27:18.8507769Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:27:18.8508043Z HAS_NVIDIA_GPU: false 2025-12-04T09:27:18.8508491Z DOCKER_CONTAINER_ID: 03e808ec286a0da396843f5363120c2d611760079419bb038973de7ecd61ea7e 2025-12-04T09:27:18.8509016Z DEVICE_NAME: 2025-12-04T09:27:18.8509231Z DEVICE_TYPE: 2025-12-04T09:27:18.8509505Z ##[endgroup] 2025-12-04T09:27:18.8533085Z ##[group]Run # Remove any previous test jsons if they exist 2025-12-04T09:27:18.8533545Z # Remove any previous test jsons if they exist 2025-12-04T09:27:18.8533924Z rm -f test-jsons-*.zip 2025-12-04T09:27:18.8534359Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-12-04T09:27:18.8540397Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:27:18.8540776Z env: 2025-12-04T09:27:18.8541001Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:27:18.8541276Z HAS_NVIDIA_GPU: false 2025-12-04T09:27:18.8541705Z DOCKER_CONTAINER_ID: 03e808ec286a0da396843f5363120c2d611760079419bb038973de7ecd61ea7e 2025-12-04T09:27:18.8542202Z DEVICE_NAME: 2025-12-04T09:27:18.8542437Z DEVICE_TYPE: 2025-12-04T09:27:18.8542724Z FILE_SUFFIX: test-default-1-7-linux.4xlarge_57116446492 2025-12-04T09:27:18.8543094Z ##[endgroup] 2025-12-04T09:27:18.8691312Z adding: test/test-reports/td_exclusions-b0432ab997b9cd073bc3.json (deflated 16%) 2025-12-04T09:27:18.8692163Z adding: test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-1d6afc0f96ddec9b.json (stored 0%) 2025-12-04T09:27:18.8693129Z adding: test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-1b3955290b9ce846.json (stored 0%) 2025-12-04T09:27:18.8694166Z adding: test/test-reports/python-pytest/dynamo.test_fake_distributed/dynamo.test_fake_distributed-7f574bd57dd1f085.json (stored 0%) 2025-12-04T09:27:18.8695129Z adding: test/test-reports/python-pytest/test_utils/test_utils-b38f136d03cd4443.json (deflated 96%) 2025-12-04T09:27:18.8696054Z adding: test/test-reports/python-pytest/test_ci_sanity_check_fail/test_ci_sanity_check_fail-574d4253ec09daee.json (stored 0%) 2025-12-04T09:27:18.8696962Z adding: test/test-reports/python-pytest/test_fx/test_fx-3d7b09516e47bf84.json (deflated 95%) 2025-12-04T09:27:18.8697905Z adding: test/test-reports/python-pytest/test_multiprocessing_spawn/test_multiprocessing_spawn-21bcec7b87b10671.json (stored 0%) 2025-12-04T09:27:18.8699039Z adding: test/test-reports/python-pytest/nn.test_pooling/nn.test_pooling-e43414f3c9c9640d.json (stored 0%) 2025-12-04T09:27:18.8699936Z adding: test/test-reports/python-pytest/test_overrides/test_overrides-75a5909a2c74b85d.json (deflated 98%) 2025-12-04T09:27:18.8700844Z adding: test/test-reports/python-pytest/test_reductions/test_reductions-5154c6f59c96d324.json (deflated 96%) 2025-12-04T09:27:18.8701767Z adding: test/test-reports/python-pytest/test_spectral_ops/test_spectral_ops-ced7ddcd1357ab3f.json (stored 0%) 2025-12-04T09:27:18.8702810Z adding: test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-a6c00de7024167c9.json (stored 0%) 2025-12-04T09:27:18.8704014Z adding: test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-4212ec1d49fd4d83.json (stored 0%) 2025-12-04T09:27:18.8706112Z adding: test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-8770571d888d6f23.json (stored 0%) 2025-12-04T09:27:18.8707253Z adding: test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-d5a99ecbf69dabf1.json (stored 0%) 2025-12-04T09:27:18.8708386Z adding: test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-14ab412686569fc4.json (stored 0%) 2025-12-04T09:27:18.8709496Z adding: test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-48d6a94fbb259a1c.json (stored 0%) 2025-12-04T09:27:18.8710625Z adding: test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-1688037a93a80f63.json (stored 0%) 2025-12-04T09:27:18.8711776Z adding: test/test-reports/python-pytest/inductor.test_benchmark_fusion/inductor.test_benchmark_fusion-b857c05ace63e679.json (stored 0%) 2025-12-04T09:27:18.8712995Z adding: test/test-reports/python-pytest/inductor.test_distributed_patterns/inductor.test_distributed_patterns-a29f4eb9188cc61b.json (stored 0%) 2025-12-04T09:27:18.8714103Z adding: test/test-reports/python-pytest/test_sort_and_select/test_sort_and_select-6813382ed4147ca0.json (stored 0%) 2025-12-04T09:27:18.8715197Z adding: test/test-reports/python-pytest/test_privateuseone_python_backend/test_privateuseone_python_backend-4650ba906c86740f.json (stored 0%) 2025-12-04T09:27:18.8716473Z adding: 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adding: test/test-reports/python-pytest/test_autograd_fallback/test_autograd_fallback-71deecc7911a014d.json (stored 0%) 2025-12-04T09:27:18.8724125Z adding: test/test-reports/python-pytest/test_autocast/test_autocast-eef7558c561c3ce5.json (stored 0%) 2025-12-04T09:27:18.8725005Z adding: test/test-reports/python-pytest/test_jit_disabled/test_jit_disabled-1d62bc4b142971bd.json (stored 0%) 2025-12-04T09:27:18.8726050Z adding: test/test-reports/python-pytest/test_cpp_extensions_mtia_backend/test_cpp_extensions_mtia_backend-5fb1276256d39929.json (stored 0%) 2025-12-04T09:27:18.8727369Z adding: test/test-reports/python-pytest/functorch.test_memory_efficient_fusion/functorch.test_memory_efficient_fusion-4960778cd5ec2176.json (stored 0%) 2025-12-04T09:27:18.8728636Z adding: test/test-reports/python-pytest/test_cpp_extensions_stream_and_event/test_cpp_extensions_stream_and_event-0f0e2fe03b311b84.json (stored 0%) 2025-12-04T09:27:18.8729678Z adding: 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(stored 0%) 2025-12-04T09:27:18.8737034Z adding: test/test-reports/python-pytest/test_cpp_extensions_aot_no_ninja/test_cpp_extensions_aot_no_ninja-70221d15b12ef328.json (stored 0%) 2025-12-04T09:27:18.8738139Z adding: test/test-reports/python-pytest/inductor.test_flex_flash/inductor.test_flex_flash-78ef4bcf8c84ef16.json (stored 0%) 2025-12-04T09:27:18.8739187Z adding: test/test-reports/python-pytest/inductor.test_flex_flash/inductor.test_flex_flash-79911a8536f8a47c.json (stored 0%) 2025-12-04T09:27:18.8740187Z adding: test/test-reports/python-pytest/nn.attention.test_fa4/nn.attention.test_fa4-c5a158c3552bd9d0.json (stored 0%) 2025-12-04T09:27:18.8741179Z adding: test/test-reports/python-pytest/nn.attention.test_fa4/nn.attention.test_fa4-4b5b673d4143ba62.json (stored 0%) 2025-12-04T09:27:18.8742151Z adding: test/test-reports/python-pytest/test_cuda_sanitizer/test_cuda_sanitizer-cc89374f58cd9edd.json (stored 0%) 2025-12-04T09:27:18.8743108Z adding: test/test-reports/python-pytest/test_cuda_sanitizer/test_cuda_sanitizer-609540faef59adbf.json (stored 0%) 2025-12-04T09:27:18.8744202Z adding: test/test-reports/python-pytest/functorch.test_aotdispatch/functorch.test_aotdispatch-7ced1ce9dc9768c0.json (stored 0%) 2025-12-04T09:27:18.8745320Z adding: test/test-reports/python-pytest/functorch.test_aotdispatch/functorch.test_aotdispatch-2f53ae298767d58c.json (stored 0%) 2025-12-04T09:27:18.8746211Z adding: test/test-reports/td_exclusions-0e20ebdff2cba40b21b4.json (deflated 82%) 2025-12-04T09:27:18.8747090Z adding: test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204091550.json (deflated 37%) 2025-12-04T09:27:18.8748176Z adding: test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204091615.json (deflated 38%) 2025-12-04T09:27:18.8749045Z adding: test/test-reports/td_exclusions-0c1931e48eb9aca1c1ba.json (deflated 73%) 2025-12-04T09:27:18.8769041Z ##[group]Run # Remove any previous test reports if they exist 2025-12-04T09:27:18.8769516Z # Remove any previous test reports if they exist 2025-12-04T09:27:18.8770100Z rm -f test-reports-*.zip 2025-12-04T09:27:18.8770585Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-12-04T09:27:18.8776625Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:27:18.8776996Z env: 2025-12-04T09:27:18.8777218Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:27:18.8777492Z HAS_NVIDIA_GPU: false 2025-12-04T09:27:18.8777929Z DOCKER_CONTAINER_ID: 03e808ec286a0da396843f5363120c2d611760079419bb038973de7ecd61ea7e 2025-12-04T09:27:18.8778431Z DEVICE_NAME: 2025-12-04T09:27:18.8778792Z DEVICE_TYPE: 2025-12-04T09:27:18.8779092Z FILE_SUFFIX: test-default-1-7-linux.4xlarge_57116446492 2025-12-04T09:27:18.8779462Z ##[endgroup] 2025-12-04T09:27:18.8840151Z adding: test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-1d6afc0f96ddec9b.xml (deflated 28%) 2025-12-04T09:27:18.8841142Z adding: test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-1b3955290b9ce846.xml (deflated 28%) 2025-12-04T09:27:18.8842215Z adding: test/test-reports/python-pytest/dynamo.test_fake_distributed/dynamo.test_fake_distributed-7f574bd57dd1f085.xml (deflated 28%) 2025-12-04T09:27:18.8843197Z adding: test/test-reports/python-pytest/test_utils/test_utils-b38f136d03cd4443.xml (deflated 94%) 2025-12-04T09:27:18.8844114Z adding: test/test-reports/python-pytest/test_ci_sanity_check_fail/test_ci_sanity_check_fail-574d4253ec09daee.xml (deflated 28%) 2025-12-04T09:27:18.8845018Z adding: test/test-reports/python-pytest/test_fx/test_fx-3d7b09516e47bf84.xml (deflated 92%) 2025-12-04T09:27:18.8846114Z adding: test/test-reports/python-pytest/test_multiprocessing_spawn/test_multiprocessing_spawn-21bcec7b87b10671.xml (deflated 28%) 2025-12-04T09:27:18.8847140Z adding: test/test-reports/python-pytest/nn.test_pooling/nn.test_pooling-e43414f3c9c9640d.xml (deflated 28%) 2025-12-04T09:27:18.8848020Z adding: test/test-reports/python-pytest/test_overrides/test_overrides-75a5909a2c74b85d.xml (deflated 98%) 2025-12-04T09:27:18.8848920Z adding: test/test-reports/python-pytest/test_reductions/test_reductions-5154c6f59c96d324.xml (deflated 95%) 2025-12-04T09:27:18.8849848Z adding: test/test-reports/python-pytest/test_spectral_ops/test_spectral_ops-ced7ddcd1357ab3f.xml (deflated 28%) 2025-12-04T09:27:18.8850898Z adding: test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-a6c00de7024167c9.xml (deflated 28%) 2025-12-04T09:27:18.8852034Z adding: test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-4212ec1d49fd4d83.xml (deflated 28%) 2025-12-04T09:27:18.8853192Z adding: test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-8770571d888d6f23.xml (deflated 28%) 2025-12-04T09:27:18.8854340Z adding: test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-d5a99ecbf69dabf1.xml (deflated 28%) 2025-12-04T09:27:18.8855485Z adding: test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-14ab412686569fc4.xml (deflated 28%) 2025-12-04T09:27:18.8856621Z adding: test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-48d6a94fbb259a1c.xml (deflated 28%) 2025-12-04T09:27:18.8857747Z adding: test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-1688037a93a80f63.xml (deflated 28%) 2025-12-04T09:27:18.8858904Z adding: test/test-reports/python-pytest/inductor.test_benchmark_fusion/inductor.test_benchmark_fusion-b857c05ace63e679.xml (deflated 28%) 2025-12-04T09:27:18.8860143Z adding: test/test-reports/python-pytest/inductor.test_distributed_patterns/inductor.test_distributed_patterns-a29f4eb9188cc61b.xml (deflated 28%) 2025-12-04T09:27:18.8861261Z adding: test/test-reports/python-pytest/test_sort_and_select/test_sort_and_select-6813382ed4147ca0.xml (deflated 28%) 2025-12-04T09:27:18.8862357Z adding: test/test-reports/python-pytest/test_privateuseone_python_backend/test_privateuseone_python_backend-4650ba906c86740f.xml (deflated 28%) 2025-12-04T09:27:18.8863528Z adding: test/test-reports/python-pytest/test_cpp_api_parity/test_cpp_api_parity-57719c86f57b23d0.xml (deflated 28%) 2025-12-04T09:27:18.8864497Z adding: test/test-reports/python-pytest/test_extension_utils/test_extension_utils-53c52e891e60f6a1.xml (deflated 28%) 2025-12-04T09:27:18.8865449Z adding: test/test-reports/python-pytest/test_show_pickle/test_show_pickle-6ae514038f834422.xml (deflated 28%) 2025-12-04T09:27:18.8866353Z adding: test/test-reports/python-pytest/test_tensorexpr/test_tensorexpr-a57117cba30dda53.xml (deflated 28%) 2025-12-04T09:27:18.8867456Z adding: test/test-reports/python-pytest/test_namedtuple_return_api/test_namedtuple_return_api-16312e43faad2880.xml 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test/test-reports/python-pytest/functorch.test_memory_efficient_fusion/functorch.test_memory_efficient_fusion-4960778cd5ec2176.xml (deflated 28%) 2025-12-04T09:27:18.8896432Z adding: test/test-reports/python-pytest/test_cpp_extensions_stream_and_event/test_cpp_extensions_stream_and_event-0f0e2fe03b311b84.xml (deflated 28%) 2025-12-04T09:27:18.8897504Z adding: test/test-reports/python-pytest/test_dispatch/test_dispatch-f945dc353d84bc63.xml (deflated 28%) 2025-12-04T09:27:18.8898430Z adding: test/test-reports/python-pytest/nn.test_convolution/nn.test_convolution-d94199c417a16060.xml (deflated 28%) 2025-12-04T09:27:18.8899441Z adding: test/test-reports/python-pytest/test_cpp_extensions_jit/test_cpp_extensions_jit-198c6c7b5a146be9.xml (deflated 28%) 2025-12-04T09:27:18.8900401Z adding: test/test-reports/python-pytest/test_native_mha/test_native_mha-a16d832c059aa0ba.xml (deflated 28%) 2025-12-04T09:27:18.8901360Z adding: test/test-reports/python-pytest/test_mobile_optimizer/test_mobile_optimizer-f7fb384bcb8a491d.xml (deflated 97%) 2025-12-04T09:27:18.8902503Z adding: test/test-reports/python-pytest/distributions.test_distributions/distributions.test_distributions-6b1d3c2d260ec7d5.xml (deflated 95%) 2025-12-04T09:27:18.8903775Z adding: test/test-reports/python-pytest/test_cpp_extensions_aot_ninja/test_cpp_extensions_aot_ninja-bbda9ea958e102e9.xml (deflated 28%) 2025-12-04T09:27:18.8904931Z adding: test/test-reports/python-pytest/test_cpp_extensions_aot_no_ninja/test_cpp_extensions_aot_no_ninja-70221d15b12ef328.xml (deflated 28%) 2025-12-04T09:27:18.8906063Z adding: test/test-reports/python-pytest/inductor.test_flex_flash/inductor.test_flex_flash-78ef4bcf8c84ef16.xml (deflated 28%) 2025-12-04T09:27:18.8907120Z adding: test/test-reports/python-pytest/inductor.test_flex_flash/inductor.test_flex_flash-79911a8536f8a47c.xml (deflated 28%) 2025-12-04T09:27:18.8908150Z adding: 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test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204091550.xml (deflated 43%) 2025-12-04T09:27:18.8919912Z adding: test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204091615.xml (deflated 43%) 2025-12-04T09:27:18.8920790Z adding: test/test-reports/cpp-unittest/test_libtorch/test_api.xml (deflated 92%) 2025-12-04T09:27:18.8961590Z ##[group]Run # Remove any previous usage logs if they exist 2025-12-04T09:27:18.8962051Z # Remove any previous usage logs if they exist 2025-12-04T09:27:18.8962431Z rm -f logs-*.zip 2025-12-04T09:27:18.8962787Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true 2025-12-04T09:27:18.8963296Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true 2025-12-04T09:27:18.8969316Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:27:18.8969858Z env: 2025-12-04T09:27:18.8970088Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:27:18.8970367Z HAS_NVIDIA_GPU: false 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test/test-reports/test_cpp_extensions_aot_ninja_1.1_b1250998b5a46821_.log (deflated 50%) 2025-12-04T09:27:18.9081957Z adding: test/test-reports/test_cpp_extensions_aot_no_ninja_1.1_a81513db0f93845e_.log (deflated 51%) 2025-12-04T09:27:18.9082912Z adding: test/test-reports/inductor.test_collective_autotuning_1.1_30b53f2796f2c3d8_.log (stored 0%) 2025-12-04T09:27:18.9083671Z adding: test/test-reports/inductor.test_smoke_1.1_b494f15783029073_.log (stored 0%) 2025-12-04T09:27:18.9084388Z adding: test/test-reports/inductor.test_triton_cpu_backend_1.1_95e9c53733909e6b_.log (stored 0%) 2025-12-04T09:27:18.9085137Z adding: test/test-reports/inductor.test_subgraph_choice_1.1_e7623f2cdc689f2e_.log (stored 0%) 2025-12-04T09:27:18.9085881Z adding: test/test-reports/inductor.test_flex_flash_1.1_d0fbb7e4461a0f9a_.log (deflated 50%) 2025-12-04T09:27:18.9086666Z adding: test/test-reports/inductor.test_cooperative_reductions_1.1_eaeeb01af46c2028_.log (stored 0%) 2025-12-04T09:27:18.9087443Z adding: test/test-reports/inductor.test_control_deps_1.1_d20580ab9a1fda20_.log (stored 0%) 2025-12-04T09:27:18.9088139Z adding: test/test-reports/inductor.test_profiler_1.1_7e3a885ca32e55be_.log (stored 0%) 2025-12-04T09:27:18.9088879Z adding: test/test-reports/inductor.test_mix_order_reduction_1.1_0d0bc70a774952df_.log (stored 0%) 2025-12-04T09:27:18.9089720Z adding: test/test-reports/inductor.test_fxir_backend_1.1_f5c1f65565e26c66_.log (stored 0%) 2025-12-04T09:27:18.9090436Z adding: test/test-reports/nn.attention.test_fa4_1.1_2648a4c4fa0bb243_.log (deflated 49%) 2025-12-04T09:27:18.9091137Z adding: test/test-reports/test_cuda_sanitizer_1.1_383d7f77ddb1d77b_.log (deflated 49%) 2025-12-04T09:27:18.9091871Z adding: test/test-reports/functorch.test_aotdispatch_8.13_070c53a749ad5353_.log (deflated 52%) 2025-12-04T09:27:18.9092584Z adding: test/test-reports/test_accelerator_1.1_92cabd5ddc1fee63_.log (stored 0%) 2025-12-04T09:27:18.9093316Z adding: test/test-reports/inductor.test_collective_autotuning_1.1_0a817e028a08bea0_.log (stored 0%) 2025-12-04T09:27:18.9094102Z adding: test/test-reports/inductor.test_triton_cpu_backend_1.1_3f5dbee3dbcea03a_.log (stored 0%) 2025-12-04T09:27:18.9094828Z adding: test/test-reports/inductor.test_smoke_1.1_2dea91f87b6d243b_.log (stored 0%) 2025-12-04T09:27:18.9095543Z adding: test/test-reports/inductor.test_subgraph_choice_1.1_32ce3aa9f8e1f628_.log (stored 0%) 2025-12-04T09:27:18.9096345Z adding: test/test-reports/inductor.test_flex_flash_1.1_c3acd5a4fbbc77bf_.log (deflated 50%) 2025-12-04T09:27:18.9097130Z adding: test/test-reports/inductor.test_cooperative_reductions_1.1_8d22943f515c872e_.log (stored 0%) 2025-12-04T09:27:18.9097906Z adding: test/test-reports/inductor.test_control_deps_1.1_0efdc1e9b6b02f18_.log (stored 0%) 2025-12-04T09:27:18.9098615Z adding: test/test-reports/inductor.test_profiler_1.1_16effd50ac85c8ff_.log (stored 0%) 2025-12-04T09:27:18.9099337Z adding: test/test-reports/inductor.test_mix_order_reduction_1.1_2f82244e08818559_.log (stored 0%) 2025-12-04T09:27:18.9100080Z adding: test/test-reports/nn.attention.test_fa4_1.1_16bda0c20d14532f_.log (deflated 49%) 2025-12-04T09:27:18.9100792Z adding: test/test-reports/inductor.test_fxir_backend_1.1_6b96115232858edb_.log (stored 0%) 2025-12-04T09:27:18.9101492Z adding: test/test-reports/test_cuda_sanitizer_1.1_0f937e41187c775b_.log (deflated 49%) 2025-12-04T09:27:18.9102212Z adding: test/test-reports/functorch.test_aotdispatch_8.13_3c88be3c964b3820_.log (deflated 52%) 2025-12-04T09:27:18.9102918Z adding: test/test-reports/test_accelerator_1.1_78e1551a2cb4209d_.log (stored 0%) 2025-12-04T09:27:18.9124585Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-12-04T09:27:18.9125121Z # Remove any previous debugging artifacts if they exist 2025-12-04T09:27:18.9125532Z rm -f debug-*.zip 2025-12-04T09:27:18.9125823Z if [ -d 'test/debug' ]; then 2025-12-04T09:27:18.9126184Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-12-04T09:27:18.9126515Z fi 2025-12-04T09:27:18.9132061Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:27:18.9132444Z env: 2025-12-04T09:27:18.9132652Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:27:18.9132925Z HAS_NVIDIA_GPU: false 2025-12-04T09:27:18.9133370Z DOCKER_CONTAINER_ID: 03e808ec286a0da396843f5363120c2d611760079419bb038973de7ecd61ea7e 2025-12-04T09:27:18.9133871Z DEVICE_NAME: 2025-12-04T09:27:18.9134110Z DEVICE_TYPE: 2025-12-04T09:27:18.9134405Z FILE_SUFFIX: test-default-1-7-linux.4xlarge_57116446492 2025-12-04T09:27:18.9134775Z ##[endgroup] 2025-12-04T09:27:18.9218407Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T09:27:18.9218856Z with: 2025-12-04T09:27:18.9219180Z s3-bucket: gha-artifacts 2025-12-04T09:27:18.9219591Z s3-prefix: pytorch/pytorch/19922814090/1/artifact 2025-12-04T09:27:18.9220091Z retention-days: 14 2025-12-04T09:27:18.9220405Z if-no-files-found: warn 2025-12-04T09:27:18.9220752Z path: test-jsons-*.zip 2025-12-04T09:27:18.9221152Z name: artifact 2025-12-04T09:27:18.9221494Z region: us-east-1 2025-12-04T09:27:18.9221803Z env: 2025-12-04T09:27:18.9222168Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:27:18.9222498Z HAS_NVIDIA_GPU: false 2025-12-04T09:27:18.9223016Z DOCKER_CONTAINER_ID: 03e808ec286a0da396843f5363120c2d611760079419bb038973de7ecd61ea7e 2025-12-04T09:27:18.9223944Z DEVICE_NAME: 2025-12-04T09:27:18.9224268Z DEVICE_TYPE: 2025-12-04T09:27:18.9224534Z ##[endgroup] 2025-12-04T09:27:19.2551005Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T09:27:19.2551839Z With the provided path, there will be 1 file uploaded 2025-12-04T09:27:19.2552302Z Uploading to s3 prefix: pytorch/pytorch/19922814090/1/artifact 2025-12-04T09:27:19.2599292Z Starting upload of test-jsons-test-default-1-7-linux.4xlarge_57116446492.zip 2025-12-04T09:27:19.3789549Z Finished upload of test-jsons-test-default-1-7-linux.4xlarge_57116446492.zip 2025-12-04T09:27:19.3969508Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T09:27:19.3970025Z with: 2025-12-04T09:27:19.3970250Z s3-bucket: gha-artifacts 2025-12-04T09:27:19.3970573Z s3-prefix: pytorch/pytorch/19922814090/1/artifact 2025-12-04T09:27:19.3970928Z retention-days: 14 2025-12-04T09:27:19.3971171Z if-no-files-found: error 2025-12-04T09:27:19.3971452Z path: test-reports-*.zip 2025-12-04T09:27:19.3971735Z name: artifact 2025-12-04T09:27:19.3971952Z region: us-east-1 2025-12-04T09:27:19.3972335Z env: 2025-12-04T09:27:19.3972552Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:27:19.3972809Z HAS_NVIDIA_GPU: false 2025-12-04T09:27:19.3973254Z DOCKER_CONTAINER_ID: 03e808ec286a0da396843f5363120c2d611760079419bb038973de7ecd61ea7e 2025-12-04T09:27:19.3973753Z DEVICE_NAME: 2025-12-04T09:27:19.3973966Z DEVICE_TYPE: 2025-12-04T09:27:19.3974190Z ##[endgroup] 2025-12-04T09:27:19.7524697Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T09:27:19.7525182Z With the provided path, there will be 1 file uploaded 2025-12-04T09:27:19.7525633Z Uploading to s3 prefix: pytorch/pytorch/19922814090/1/artifact 2025-12-04T09:27:19.7573080Z Starting upload of test-reports-test-default-1-7-linux.4xlarge_57116446492.zip 2025-12-04T09:27:19.9152675Z Finished upload of test-reports-test-default-1-7-linux.4xlarge_57116446492.zip 2025-12-04T09:27:19.9348348Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T09:27:19.9348716Z with: 2025-12-04T09:27:19.9348948Z s3-bucket: gha-artifacts 2025-12-04T09:27:19.9349295Z s3-prefix: pytorch/pytorch/19922814090/1/artifact 2025-12-04T09:27:19.9349642Z retention-days: 14 2025-12-04T09:27:19.9349906Z if-no-files-found: ignore 2025-12-04T09:27:19.9350183Z path: logs-*.zip 2025-12-04T09:27:19.9350406Z name: artifact 2025-12-04T09:27:19.9350634Z region: us-east-1 2025-12-04T09:27:19.9350863Z env: 2025-12-04T09:27:19.9351063Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:27:19.9351332Z HAS_NVIDIA_GPU: false 2025-12-04T09:27:19.9351772Z DOCKER_CONTAINER_ID: 03e808ec286a0da396843f5363120c2d611760079419bb038973de7ecd61ea7e 2025-12-04T09:27:19.9352258Z DEVICE_NAME: 2025-12-04T09:27:19.9352481Z DEVICE_TYPE: 2025-12-04T09:27:19.9352698Z ##[endgroup] 2025-12-04T09:27:20.2654070Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T09:27:20.2654576Z With the provided path, there will be 1 file uploaded 2025-12-04T09:27:20.2655038Z Uploading to s3 prefix: pytorch/pytorch/19922814090/1/artifact 2025-12-04T09:27:20.2702776Z Starting upload of logs-test-default-1-7-linux.4xlarge_57116446492.zip 2025-12-04T09:27:20.4170373Z Finished upload of logs-test-default-1-7-linux.4xlarge_57116446492.zip 2025-12-04T09:27:20.4349270Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T09:27:20.4349608Z with: 2025-12-04T09:27:20.4349835Z s3-bucket: gha-artifacts 2025-12-04T09:27:20.4350162Z s3-prefix: pytorch/pytorch/19922814090/1/artifact 2025-12-04T09:27:20.4350517Z retention-days: 14 2025-12-04T09:27:20.4350761Z if-no-files-found: ignore 2025-12-04T09:27:20.4351034Z path: debug-*.zip 2025-12-04T09:27:20.4351266Z name: artifact 2025-12-04T09:27:20.4351482Z region: us-east-1 2025-12-04T09:27:20.4351710Z env: 2025-12-04T09:27:20.4351923Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:27:20.4352194Z HAS_NVIDIA_GPU: false 2025-12-04T09:27:20.4352635Z DOCKER_CONTAINER_ID: 03e808ec286a0da396843f5363120c2d611760079419bb038973de7ecd61ea7e 2025-12-04T09:27:20.4353293Z DEVICE_NAME: 2025-12-04T09:27:20.4353505Z DEVICE_TYPE: 2025-12-04T09:27:20.4353744Z ##[endgroup] 2025-12-04T09:27:20.7548624Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-12-04T09:27:20.7731451Z ##[group]Run # shellcheck disable=SC2156 2025-12-04T09:27:20.7731846Z # shellcheck disable=SC2156 2025-12-04T09:27:20.7732427Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-12-04T09:27:20.7738528Z shell: /usr/bin/bash -e {0} 2025-12-04T09:27:20.7738813Z env: 2025-12-04T09:27:20.7739024Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:27:20.7739299Z HAS_NVIDIA_GPU: false 2025-12-04T09:27:20.7739751Z DOCKER_CONTAINER_ID: 03e808ec286a0da396843f5363120c2d611760079419bb038973de7ecd61ea7e 2025-12-04T09:27:20.7740251Z DEVICE_NAME: 2025-12-04T09:27:20.7740471Z DEVICE_TYPE: 2025-12-04T09:27:20.7740697Z ##[endgroup] 2025-12-04T09:27:21.0938175Z Prepare all required actions 2025-12-04T09:27:21.0938623Z Getting action download info 2025-12-04T09:27:21.2591159Z Download action repository 'actions/setup-python@v6' (SHA:83679a892e2d95755f2dac6acb0bfd1e9ac5d548) 2025-12-04T09:27:21.6087389Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-12-04T09:27:21.6087766Z with: 2025-12-04T09:27:21.6087972Z job_id: 57116446492 2025-12-04T09:27:21.6088473Z job_name: linux-jammy-py3.10-clang18-asan / test (default, 1, 7, linux.4xlarge, rerun_disabled_tests) 2025-12-04T09:27:21.6089040Z workflow_name: pull 2025-12-04T09:27:21.6089289Z workflow_run_id: 19922814090 2025-12-04T09:27:21.6089570Z workflow_attempt: 1 2025-12-04T09:27:21.6089844Z env: 2025-12-04T09:27:21.6090048Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:27:21.6090325Z HAS_NVIDIA_GPU: false 2025-12-04T09:27:21.6090775Z DOCKER_CONTAINER_ID: 03e808ec286a0da396843f5363120c2d611760079419bb038973de7ecd61ea7e 2025-12-04T09:27:21.6091277Z DEVICE_NAME: 2025-12-04T09:27:21.6091551Z DEVICE_TYPE: 2025-12-04T09:27:21.6091777Z ##[endgroup] 2025-12-04T09:27:21.6128587Z ##[group]Run actions/setup-python@v6 2025-12-04T09:27:21.6128899Z with: 2025-12-04T09:27:21.6129135Z python-version: 3.10 2025-12-04T09:27:21.6129384Z check-latest: false 2025-12-04T09:27:21.6129771Z token: *** 2025-12-04T09:27:21.6130010Z update-environment: true 2025-12-04T09:27:21.6130297Z allow-prereleases: false 2025-12-04T09:27:21.6130558Z freethreaded: false 2025-12-04T09:27:21.6130800Z env: 2025-12-04T09:27:21.6131016Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:27:21.6131273Z HAS_NVIDIA_GPU: false 2025-12-04T09:27:21.6131722Z DOCKER_CONTAINER_ID: 03e808ec286a0da396843f5363120c2d611760079419bb038973de7ecd61ea7e 2025-12-04T09:27:21.6132226Z DEVICE_NAME: 2025-12-04T09:27:21.6132442Z DEVICE_TYPE: 2025-12-04T09:27:21.6132671Z ##[endgroup] 2025-12-04T09:27:22.0785420Z ##[group]Installed versions 2025-12-04T09:27:22.0794175Z Version 3.10 was not found in the local cache 2025-12-04T09:27:22.1075687Z (node:54420) [DEP0040] DeprecationWarning: The `punycode` module is deprecated. Please use a userland alternative instead. 2025-12-04T09:27:22.1076499Z (Use `node --trace-deprecation ...` to show where the warning was created) 2025-12-04T09:27:22.4419831Z ##[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 2025-12-04T09:27:22.4582477Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-12-04T09:27:22.4582921Z with: 2025-12-04T09:27:22.4583114Z env: 2025-12-04T09:27:22.4583328Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:27:22.4583705Z HAS_NVIDIA_GPU: false 2025-12-04T09:27:22.4584138Z DOCKER_CONTAINER_ID: 03e808ec286a0da396843f5363120c2d611760079419bb038973de7ecd61ea7e 2025-12-04T09:27:22.4584641Z DEVICE_NAME: 2025-12-04T09:27:22.4584871Z DEVICE_TYPE: 2025-12-04T09:27:22.4585080Z ##[endgroup] 2025-12-04T09:27:22.4600441Z ##[group]Run set -eou pipefail 2025-12-04T09:27:22.4600922Z set -eou pipefail 2025-12-04T09:27:22.4601179Z  2025-12-04T09:27:22.4601555Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-12-04T09:27:22.4602037Z for _ in $(seq 1440); do 2025-12-04T09:27:22.4602379Z  # Break if no ssh session exists anymore 2025-12-04T09:27:22.4602725Z  if [ "$(who)" = "" ]; then 2025-12-04T09:27:22.4603076Z  break 2025-12-04T09:27:22.4603307Z  fi 2025-12-04T09:27:22.4603539Z  echo "." 2025-12-04T09:27:22.4603788Z  sleep 5 2025-12-04T09:27:22.4604017Z done 2025-12-04T09:27:22.4609762Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:27:22.4610151Z env: 2025-12-04T09:27:22.4610359Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:27:22.4610636Z HAS_NVIDIA_GPU: false 2025-12-04T09:27:22.4611078Z DOCKER_CONTAINER_ID: 03e808ec286a0da396843f5363120c2d611760079419bb038973de7ecd61ea7e 2025-12-04T09:27:22.4611589Z DEVICE_NAME: 2025-12-04T09:27:22.4611806Z DEVICE_TYPE: 2025-12-04T09:27:22.4612029Z ##[endgroup] 2025-12-04T09:27:22.4635763Z Holding runner for 2 hours until all ssh sessions have logged out 2025-12-04T09:27:22.4720623Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T09:27:22.4721182Z # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T09:27:22.4721634Z # shellcheck disable=SC2046 2025-12-04T09:27:22.4721976Z docker stop $(docker ps -q) || true 2025-12-04T09:27:22.4722327Z # Prune all of the docker images 2025-12-04T09:27:22.4722650Z docker system prune -af 2025-12-04T09:27:22.4728162Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:27:22.4728553Z env: 2025-12-04T09:27:22.4728764Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:27:22.4729042Z HAS_NVIDIA_GPU: false 2025-12-04T09:27:22.4729486Z DOCKER_CONTAINER_ID: 03e808ec286a0da396843f5363120c2d611760079419bb038973de7ecd61ea7e 2025-12-04T09:27:22.4729984Z DEVICE_NAME: 2025-12-04T09:27:22.4730213Z DEVICE_TYPE: 2025-12-04T09:27:22.4730435Z ##[endgroup] 2025-12-04T09:27:33.4515809Z 03e808ec286a 2025-12-04T09:27:34.0678164Z Deleted Containers: 2025-12-04T09:27:34.0678615Z 03e808ec286a0da396843f5363120c2d611760079419bb038973de7ecd61ea7e 2025-12-04T09:27:34.0678947Z 2025-12-04T09:27:36.9328320Z Deleted Images: 2025-12-04T09:27:36.9329296Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-clang18-asan-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:27:36.9330583Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image@sha256:7e1c24debf12b78c62b7f0a71dfed065e57bf2457fa65b1cbaff63d50a90686e 2025-12-04T09:27:36.9331574Z deleted: sha256:9780dc2f97696fdbf8949c2c8801180dae9765d36920db1a5b02a03b70dec983 2025-12-04T09:27:36.9332236Z deleted: sha256:1655a0e847d205d6634bfbbfce7cd9912d00cbf1b30a6ed00c11c98c90310e81 2025-12-04T09:27:36.9332898Z deleted: sha256:a67515eca06118ad375ea2c65f2cadcae83c750f6457766168f49493e10101a9 2025-12-04T09:27:36.9333549Z deleted: sha256:df50442f3275fd2470632ee3e6315a6279d0c203f58fdbb7e42c4ca8b542aee9 2025-12-04T09:27:36.9334191Z deleted: sha256:7e9b57422da4201165f6c3e6094c0210568d01ac199e7fe62562847f2df7a8f5 2025-12-04T09:27:36.9334827Z deleted: 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2025-12-04T09:27:36.9500237Z Post job cleanup. 2025-12-04T09:27:37.0810038Z (node:54572) [DEP0040] DeprecationWarning: The `punycode` module is deprecated. Please use a userland alternative instead. 2025-12-04T09:27:37.0810863Z (Use `node --trace-deprecation ...` to show where the warning was created) 2025-12-04T09:27:37.0948278Z Post job cleanup. 2025-12-04T09:27:37.0994282Z Post job cleanup. 2025-12-04T09:27:37.1994013Z [command]/usr/bin/git version 2025-12-04T09:27:37.2047046Z git version 2.50.1 2025-12-04T09:27:37.2082159Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/a221bde2-2953-4b06-9b17-ff820a4084a3/.gitconfig' 2025-12-04T09:27:37.2090837Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/a221bde2-2953-4b06-9b17-ff820a4084a3' before making global git config changes 2025-12-04T09:27:37.2091870Z Adding repository directory to the temporary git global config as a safe directory 2025-12-04T09:27:37.2095734Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T09:27:37.2130600Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-12-04T09:27:37.2166859Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-12-04T09:27:37.2476485Z Entering 'android/libs/fbjni' 2025-12-04T09:27:37.2532637Z Entering 'third_party/FP16' 2025-12-04T09:27:37.2588364Z Entering 'third_party/FXdiv' 2025-12-04T09:27:37.2643792Z Entering 'third_party/NNPACK' 2025-12-04T09:27:37.2699212Z Entering 'third_party/NVTX' 2025-12-04T09:27:37.2755837Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T09:27:37.2810271Z Entering 'third_party/XNNPACK' 2025-12-04T09:27:37.2880930Z Entering 'third_party/aiter' 2025-12-04T09:27:37.2938278Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T09:27:37.3001596Z Entering 'third_party/benchmark' 2025-12-04T09:27:37.3057880Z Entering 'third_party/composable_kernel' 2025-12-04T09:27:37.3122225Z Entering 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Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:27:37.5236916Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T09:27:37.5292451Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T09:27:37.5347837Z Entering 'third_party/kleidiai' 2025-12-04T09:27:37.5405237Z Entering 'third_party/mimalloc' 2025-12-04T09:27:37.5460485Z Entering 'third_party/nlohmann' 2025-12-04T09:27:37.5517882Z Entering 'third_party/onnx' 2025-12-04T09:27:37.5593370Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T09:27:37.5650780Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T09:27:37.5708414Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T09:27:37.5761000Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T09:27:37.5814335Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T09:27:37.5870027Z Entering 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[command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-12-04T09:27:37.7193155Z [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' || :" 2025-12-04T09:27:37.7488997Z Entering 'android/libs/fbjni' 2025-12-04T09:27:37.7527035Z http.https://github.com/.extraheader 2025-12-04T09:27:37.7561133Z Entering 'third_party/FP16' 2025-12-04T09:27:37.7598714Z http.https://github.com/.extraheader 2025-12-04T09:27:37.7632221Z Entering 'third_party/FXdiv' 2025-12-04T09:27:37.7670967Z http.https://github.com/.extraheader 2025-12-04T09:27:37.7703721Z Entering 'third_party/NNPACK' 2025-12-04T09:27:37.7741850Z http.https://github.com/.extraheader 2025-12-04T09:27:37.7776338Z Entering 'third_party/NVTX' 2025-12-04T09:27:37.7813764Z http.https://github.com/.extraheader 2025-12-04T09:27:37.7848052Z Entering 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http.https://github.com/.extraheader 2025-12-04T09:27:37.8458116Z Entering 'third_party/cudnn_frontend' 2025-12-04T09:27:37.8497083Z http.https://github.com/.extraheader 2025-12-04T09:27:37.8530965Z Entering 'third_party/cutlass' 2025-12-04T09:27:37.8568742Z http.https://github.com/.extraheader 2025-12-04T09:27:37.8616465Z Entering 'third_party/fbgemm' 2025-12-04T09:27:37.8654747Z http.https://github.com/.extraheader 2025-12-04T09:27:37.8690455Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T09:27:37.8726695Z http.https://github.com/.extraheader 2025-12-04T09:27:37.8759526Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T09:27:37.8796082Z http.https://github.com/.extraheader 2025-12-04T09:27:37.8836682Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T09:27:37.8873469Z http.https://github.com/.extraheader 2025-12-04T09:27:37.8905956Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T09:27:37.8942550Z http.https://github.com/.extraheader 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http.https://github.com/.extraheader 2025-12-04T09:27:38.0164648Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T09:27:38.0201787Z http.https://github.com/.extraheader 2025-12-04T09:27:38.0234832Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T09:27:38.0276698Z http.https://github.com/.extraheader 2025-12-04T09:27:38.0312291Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T09:27:38.0349453Z http.https://github.com/.extraheader 2025-12-04T09:27:38.0382994Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T09:27:38.0419767Z http.https://github.com/.extraheader 2025-12-04T09:27:38.0452806Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T09:27:38.0490047Z http.https://github.com/.extraheader 2025-12-04T09:27:38.0522233Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 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2025-12-04T09:27:38.1438383Z http.https://github.com/.extraheader 2025-12-04T09:27:38.1473309Z Entering 'third_party/onnx' 2025-12-04T09:27:38.1510318Z http.https://github.com/.extraheader 2025-12-04T09:27:38.1560896Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T09:27:38.1599244Z http.https://github.com/.extraheader 2025-12-04T09:27:38.1634440Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T09:27:38.1674452Z http.https://github.com/.extraheader 2025-12-04T09:27:38.1709638Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T09:27:38.1745854Z http.https://github.com/.extraheader 2025-12-04T09:27:38.1780731Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T09:27:38.1816918Z http.https://github.com/.extraheader 2025-12-04T09:27:38.1850126Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T09:27:38.1890126Z http.https://github.com/.extraheader 2025-12-04T09:27:38.1922382Z Entering 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