2025-12-04T08:54:13.3967491Z Current runner version: '2.330.0' 2025-12-04T08:54:13.3973686Z Runner name: 'i-08bea9f94b524e092' 2025-12-04T08:54:13.3974475Z Runner group name: 'default' 2025-12-04T08:54:13.3975372Z Machine name: 'ip-10-0-67-132' 2025-12-04T08:54:13.3978167Z ##[group]GITHUB_TOKEN Permissions 2025-12-04T08:54:13.3980357Z Contents: read 2025-12-04T08:54:13.3981029Z Metadata: read 2025-12-04T08:54:13.3981570Z ##[endgroup] 2025-12-04T08:54:13.3983600Z Secret source: Actions 2025-12-04T08:54:13.3984478Z Prepare workflow directory 2025-12-04T08:54:13.4506585Z Prepare all required actions 2025-12-04T08:54:13.4547420Z Getting action download info 2025-12-04T08:54:13.8236820Z Download action repository 'pytorch/test-infra@main' (SHA:39aa74d619174326f4e2fb0e216151c2f29d9ffd) 2025-12-04T08:54:16.0478848Z Download action repository 'pytorch/pytorch@main' (SHA:eabb7ad2128580ef674446027b95bcf4e21e8df3) 2025-12-04T08:54:30.3894172Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-12-04T08:54:30.7462711Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-12-04T08:54:31.0052888Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-12-04T08:54:31.2066962Z Download action repository 'seemethere/download-artifact-s3@1da556a7aa0a088e3153970611f6c432d58e80e6' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-12-04T08:54:31.4569536Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-12-04T08:54:31.7555294Z Getting action download info 2025-12-04T08:54:31.8861697Z Download action repository 'actions/checkout@v4' (SHA:34e114876b0b11c390a56381ad16ebd13914f8d5) 2025-12-04T08:54:32.1820478Z Getting action download info 2025-12-04T08:54:32.3265761Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-12-04T08:54:32.5399323Z Getting action download info 2025-12-04T08:54:32.6612446Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-12-04T08:54:32.8767447Z Getting action download info 2025-12-04T08:54:33.0466580Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32) 2025-12-04T08:54:33.0470783Z ##[group] Inputs 2025-12-04T08:54:33.0471154Z build-environment: linux-jammy-py3.10-clang12 2025-12-04T08:54:33.0477346Z test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "openreg", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}]} 2025-12-04T08:54:33.0483505Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:54:33.0484463Z sync-tag: 2025-12-04T08:54:33.0485359Z timeout-minutes: 240 2025-12-04T08:54:33.0485630Z use-gha: 2025-12-04T08:54:33.0485861Z dashboard-tag: 2025-12-04T08:54:33.0486103Z s3-bucket: gha-artifacts 2025-12-04T08:54:33.0486386Z aws-role-to-assume: 2025-12-04T08:54:33.0486979Z disable-monitor: false 2025-12-04T08:54:33.0487284Z monitor-log-interval: 5 2025-12-04T08:54:33.0487609Z monitor-data-collect-interval: 1 2025-12-04T08:54:33.0487939Z ##[endgroup] 2025-12-04T08:54:33.0488471Z Complete job name: linux-jammy-py3.10-clang12 / test (default, 1, 5, linux.4xlarge, rerun_disabled_tests) 2025-12-04T08:54:33.1051442Z A job started hook has been configured by the self-hosted runner administrator 2025-12-04T08:54:33.1155364Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-12-04T08:54:33.1164568Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:54:33.1165247Z ##[endgroup] 2025-12-04T08:54:34.4070354Z Runner Type: linux.4xlarge 2025-12-04T08:54:34.4070865Z Instance Type: c5.4xlarge 2025-12-04T08:54:34.4071133Z AMI Name: unknown 2025-12-04T08:54:34.4100803Z AMI ID: ami-08982f1c5bf93d976 2025-12-04T08:54:39.8597315Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-12-04T08:54:39.8597765Z with: 2025-12-04T08:54:39.8598368Z github-secret: *** 2025-12-04T08:54:39.8599114Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-12-04T08:54:39.8599926Z activate-with-label: false 2025-12-04T08:54:39.8600203Z label: with-ssh 2025-12-04T08:54:39.8600479Z remove-existing-keys: true 2025-12-04T08:54:39.8600768Z fail-silently: true 2025-12-04T08:54:39.8601003Z env: 2025-12-04T08:54:39.8601218Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:54:39.8601490Z ##[endgroup] 2025-12-04T08:54:40.0074890Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-12-04T08:54:40.0076070Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-12-04T08:54:40.0424361Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-12-04T08:54:40.0424816Z with: 2025-12-04T08:54:40.0425044Z no-sudo: true 2025-12-04T08:54:40.0425273Z submodules: recursive 2025-12-04T08:54:40.0425548Z fetch-depth: 0 2025-12-04T08:54:40.0425781Z env: 2025-12-04T08:54:40.0425987Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:54:40.0426256Z ##[endgroup] 2025-12-04T08:54:40.0506040Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:54:40.0507045Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:54:40.0516156Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:54:40.0516556Z env: 2025-12-04T08:54:40.0516798Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:54:40.0517110Z ##[endgroup] 2025-12-04T08:54:40.0599397Z ##[group]Run # Use all available CPUs for fetching 2025-12-04T08:54:40.0599851Z # Use all available CPUs for fetching 2025-12-04T08:54:40.0600206Z cd "${GITHUB_WORKSPACE}" 2025-12-04T08:54:40.0600539Z git config --global fetch.parallel 0 2025-12-04T08:54:40.0600939Z git config --global submodule.fetchJobs 0 2025-12-04T08:54:40.0601289Z  2025-12-04T08:54:40.0601645Z # Clean workspace. The default checkout action should also do this, but 2025-12-04T08:54:40.0602134Z # do it here as well just in case 2025-12-04T08:54:40.0602631Z if [[ -d .git ]]; then 2025-12-04T08:54:40.0602920Z  if [ -z "${NO_SUDO}" ]; then 2025-12-04T08:54:40.0603245Z  sudo git clean -ffdx 2025-12-04T08:54:40.0603536Z  else 2025-12-04T08:54:40.0603779Z  git clean -ffdx 2025-12-04T08:54:40.0604148Z  fi 2025-12-04T08:54:40.0604374Z fi 2025-12-04T08:54:40.0610352Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:54:40.0610731Z env: 2025-12-04T08:54:40.0611037Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:54:40.0611323Z NO_SUDO: true 2025-12-04T08:54:40.0611536Z ##[endgroup] 2025-12-04T08:54:40.0725913Z ##[group]Run actions/checkout@v4 2025-12-04T08:54:40.0726230Z with: 2025-12-04T08:54:40.0726499Z ref: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:54:40.0726840Z fetch-depth: 0 2025-12-04T08:54:40.0727087Z submodules: recursive 2025-12-04T08:54:40.0727352Z show-progress: false 2025-12-04T08:54:40.0727635Z repository: pytorch/pytorch 2025-12-04T08:54:40.0728048Z token: *** 2025-12-04T08:54:40.0728280Z ssh-strict: true 2025-12-04T08:54:40.0728524Z ssh-user: git 2025-12-04T08:54:40.0728760Z persist-credentials: true 2025-12-04T08:54:40.0729039Z clean: true 2025-12-04T08:54:40.0729296Z sparse-checkout-cone-mode: true 2025-12-04T08:54:40.0729587Z fetch-tags: false 2025-12-04T08:54:40.0729821Z lfs: false 2025-12-04T08:54:40.0730054Z set-safe-directory: true 2025-12-04T08:54:40.0730321Z env: 2025-12-04T08:54:40.0730538Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:54:40.0730802Z ##[endgroup] 2025-12-04T08:54:40.1837712Z Syncing repository: pytorch/pytorch 2025-12-04T08:54:40.1839070Z ##[group]Getting Git version info 2025-12-04T08:54:40.1839576Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-12-04T08:54:40.1840266Z [command]/usr/bin/git version 2025-12-04T08:54:40.2011317Z git version 2.50.1 2025-12-04T08:54:40.2036369Z ##[endgroup] 2025-12-04T08:54:40.2045897Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/6eee7574-8810-40b0-9831-c62dc740cb35/.gitconfig' 2025-12-04T08:54:40.2065534Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/6eee7574-8810-40b0-9831-c62dc740cb35' before making global git config changes 2025-12-04T08:54:40.2066566Z Adding repository directory to the temporary git global config as a safe directory 2025-12-04T08:54:40.2070697Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T08:54:40.2113551Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-12-04T08:54:40.2116306Z ##[group]Initializing the repository 2025-12-04T08:54:40.2120385Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T08:54:40.2183413Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-12-04T08:54:40.2184290Z hint: is subject to change. To configure the initial branch name to use in all 2025-12-04T08:54:40.2184898Z hint: of your new repositories, which will suppress this warning, call: 2025-12-04T08:54:40.2185316Z hint: 2025-12-04T08:54:40.2185625Z hint: git config --global init.defaultBranch 2025-12-04T08:54:40.2185985Z hint: 2025-12-04T08:54:40.2186313Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-12-04T08:54:40.2186944Z hint: 'development'. The just-created branch can be renamed via this command: 2025-12-04T08:54:40.2187402Z hint: 2025-12-04T08:54:40.2187627Z hint: git branch -m 2025-12-04T08:54:40.2187886Z hint: 2025-12-04T08:54:40.2188270Z hint: Disable this message with "git config set advice.defaultBranchName false" 2025-12-04T08:54:40.2192648Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-12-04T08:54:40.2200979Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-12-04T08:54:40.2236245Z ##[endgroup] 2025-12-04T08:54:40.2236925Z ##[group]Disabling automatic garbage collection 2025-12-04T08:54:40.2239920Z [command]/usr/bin/git config --local gc.auto 0 2025-12-04T08:54:40.2265603Z ##[endgroup] 2025-12-04T08:54:40.2266020Z ##[group]Setting up auth 2025-12-04T08:54:40.2271502Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-12-04T08:54:40.2296934Z [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' || :" 2025-12-04T08:54:40.2633190Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-12-04T08:54:40.2660454Z [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' || :" 2025-12-04T08:54:40.2943379Z [command]/usr/bin/git config --local --name-only --get-regexp ^includeIf\.gitdir: 2025-12-04T08:54:40.2970939Z [command]/usr/bin/git submodule foreach --recursive git config --local --show-origin --name-only --get-regexp remote.origin.url 2025-12-04T08:54:40.3240032Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-12-04T08:54:40.3288332Z ##[endgroup] 2025-12-04T08:54:40.3288772Z ##[group]Fetching the repository 2025-12-04T08:54:40.3296688Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-12-04T08:55:28.3526555Z From https://github.com/pytorch/pytorch 2025-12-04T08:55:28.3527182Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-12-04T08:55:28.3528036Z * [new branch] 2.9.1 -> origin/2.9.1 2025-12-04T08:55:28.3528747Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-12-04T08:55:28.3529584Z * [new branch] Flamefire-patch-1 -> origin/Flamefire-patch-1 2025-12-04T08:55:28.3530210Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-12-04T08:55:28.3531008Z * [new branch] HOPrintFunc -> origin/HOPrintFunc 2025-12-04T08:55:28.3531852Z * [new branch] IvanKobzarev/stack/1 -> origin/IvanKobzarev/stack/1 2025-12-04T08:55:28.3533326Z * [new branch] NicoshevSVE128 -> origin/NicoshevSVE128 2025-12-04T08:55:28.3534301Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-12-04T08:55:28.3535626Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-12-04T08:55:28.3536753Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-12-04T08:55:28.3537767Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-12-04T08:55:28.3538895Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-12-04T08:55:28.3540140Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-12-04T08:55:28.3541227Z * [new branch] VLA_exp -> origin/VLA_exp 2025-12-04T08:55:28.3542829Z * [new branch] activation_bench -> origin/activation_bench 2025-12-04T08:55:28.3544540Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-12-04T08:55:28.3545925Z * [new branch] adi/onednn_aarch64 -> origin/adi/onednn_aarch64 2025-12-04T08:55:28.3547081Z * [new branch] adi/test -> origin/adi/test 2025-12-04T08:55:28.3548211Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-12-04T08:55:28.3550383Z * [new branch] adi/test_m8g -> origin/adi/test_m8g 2025-12-04T08:55:28.3551912Z * [new branch] adi/test_onednn -> origin/adi/test_onednn 2025-12-04T08:55:28.3552915Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-12-04T08:55:28.3554753Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-12-04T08:55:28.3556328Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-12-04T08:55:28.3558840Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-12-04T08:55:28.3561757Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-12-04T08:55:28.3563242Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-12-04T08:55:28.3565473Z * [new branch] albanD-patch-1 -> origin/albanD-patch-1 2025-12-04T08:55:28.3567075Z * [new branch] also-surround-shimh -> origin/also-surround-shimh 2025-12-04T08:55:28.3569978Z * [new branch] angelayi/aot_compile -> origin/angelayi/aot_compile 2025-12-04T08:55:28.3571498Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-12-04T08:55:28.3573140Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-12-04T08:55:28.3575051Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-12-04T08:55:28.3576430Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-12-04T08:55:28.3578291Z * [new branch] angelayi/inductor_const -> origin/angelayi/inductor_const 2025-12-04T08:55:28.3579825Z * [new branch] angelayi/lstm -> origin/angelayi/lstm 2025-12-04T08:55:28.3582569Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-12-04T08:55:28.3584284Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-12-04T08:55:28.3586105Z * [new branch] angelayi/side_eff -> origin/angelayi/side_eff 2025-12-04T08:55:28.3587960Z * [new branch] angelayi/state_dict -> origin/angelayi/state_dict 2025-12-04T08:55:28.3589797Z * [new branch] angelayi/symint_input -> origin/angelayi/symint_input 2025-12-04T08:55:28.3591771Z * [new branch] angelayi/symm_mem -> origin/angelayi/symm_mem 2025-12-04T08:55:28.3593378Z * [new branch] angelayi/test_cpp -> origin/angelayi/test_cpp 2025-12-04T08:55:28.3595222Z * [new branch] angelayi/torch_size -> origin/angelayi/torch_size 2025-12-04T08:55:28.3597017Z * [new branch] annotate_assert -> origin/annotate_assert 2025-12-04T08:55:28.3598927Z * [new branch] annotate_fallback_kernel -> origin/annotate_fallback_kernel 2025-12-04T08:55:28.3600694Z * [new branch] annotation_deepcopy -> origin/annotation_deepcopy 2025-12-04T08:55:28.3602457Z * [new branch] annotation_dynamo -> origin/annotation_dynamo 2025-12-04T08:55:28.3604333Z * [new branch] aot_eager_stack_trace -> origin/aot_eager_stack_trace 2025-12-04T08:55:28.3606139Z * [new 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branch] zb2p -> origin/zb2p 2025-12-04T08:55:29.0338287Z * [new branch] zeros-and-scatter-part2 -> origin/zeros-and-scatter-part2 2025-12-04T08:55:29.0340565Z * [new branch] zhxchen17/ci/vllm_lora_oom -> origin/zhxchen17/ci/vllm_lora_oom 2025-12-04T08:55:29.0341864Z * [new branch] zhxchen17/ci/vllm_multimodal_oom -> origin/zhxchen17/ci/vllm_multimodal_oom 2025-12-04T08:55:29.0342854Z * [new branch] zhxchen17/ci/vllm_pin -> origin/zhxchen17/ci/vllm_pin 2025-12-04T08:55:29.0344978Z * [new branch] zhxchen17/dynamo/unsafe_drop_all_guards -> origin/zhxchen17/dynamo/unsafe_drop_all_guards 2025-12-04T08:55:29.0346387Z * [new branch] zhxchen17/export/call_override -> origin/zhxchen17/export/call_override 2025-12-04T08:55:29.0347447Z * [new branch] zhxchen17/export/codemod1 -> origin/zhxchen17/export/codemod1 2025-12-04T08:55:29.0348617Z * [new branch] zhxchen17/export/ctx_return -> origin/zhxchen17/export/ctx_return 2025-12-04T08:55:29.0350311Z * [new branch] 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branch] zxiiro/c7i.2xlarge -> origin/zxiiro/c7i.2xlarge 2025-12-04T08:55:29.0362977Z * [new branch] zxiiro/c7i.2xlarge.h100 -> origin/zxiiro/c7i.2xlarge.h100 2025-12-04T08:55:29.0364153Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-12-04T08:55:29.0365337Z * [new branch] zxiiro/risc64 -> origin/zxiiro/risc64 2025-12-04T08:55:29.0366527Z * [new branch] zxiiro/test-multicloud-arc -> origin/zxiiro/test-multicloud-arc 2025-12-04T08:55:29.0367624Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-12-04T08:55:29.0368418Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-12-04T08:55:29.0369487Z * [new tag] ciflow/b200/115316 -> ciflow/b200/115316 2025-12-04T08:55:29.0370160Z * [new tag] ciflow/b200/160685 -> ciflow/b200/160685 2025-12-04T08:55:29.0370826Z * [new tag] ciflow/b200/161607 -> ciflow/b200/161607 2025-12-04T08:55:29.0371524Z * [new tag] ciflow/b200/161938 -> ciflow/b200/161938 2025-12-04T08:55:29.0372510Z * [new tag] ciflow/b200/167207 -> ciflow/b200/167207 2025-12-04T08:55:29.0373198Z * [new tag] ciflow/b200/167989 -> ciflow/b200/167989 2025-12-04T08:55:29.0373970Z * [new tag] ciflow/b200/168096 -> ciflow/b200/168096 2025-12-04T08:55:29.0375016Z * [new tag] ciflow/b200/168175 -> ciflow/b200/168175 2025-12-04T08:55:29.0375674Z * [new tag] ciflow/b200/168195 -> ciflow/b200/168195 2025-12-04T08:55:29.0376672Z * [new tag] ciflow/b200/169200 -> ciflow/b200/169200 2025-12-04T08:55:29.0377324Z * [new tag] ciflow/b200/169216 -> ciflow/b200/169216 2025-12-04T08:55:29.0378539Z * [new tag] ciflow/b200/169380 -> ciflow/b200/169380 2025-12-04T08:55:29.0379640Z * [new tag] ciflow/b200/169412 -> ciflow/b200/169412 2025-12-04T08:55:29.0380588Z * [new tag] ciflow/b200/169470 -> ciflow/b200/169470 2025-12-04T08:55:29.0381252Z * [new tag] ciflow/b200/169471 -> ciflow/b200/169471 2025-12-04T08:55:29.0382007Z * [new tag] ciflow/b200/169472 -> ciflow/b200/169472 2025-12-04T08:55:29.0383032Z * [new tag] ciflow/b200/169514 -> ciflow/b200/169514 2025-12-04T08:55:29.0383714Z * [new tag] ciflow/b200/169517 -> ciflow/b200/169517 2025-12-04T08:55:29.0384849Z * [new tag] ciflow/binaries/165922 -> ciflow/binaries/165922 2025-12-04T08:55:29.0385491Z * [new tag] ciflow/binaries/169510 -> ciflow/binaries/169510 2025-12-04T08:55:29.0386613Z * [new tag] ciflow/binaries_wheel/157994 -> ciflow/binaries_wheel/157994 2025-12-04T08:55:29.0387692Z * [new tag] ciflow/binaries_wheel/166829 -> ciflow/binaries_wheel/166829 2025-12-04T08:55:29.0388353Z * [new tag] ciflow/binaries_wheel/167972 -> ciflow/binaries_wheel/167972 2025-12-04T08:55:29.0389146Z * [new tag] ciflow/binaries_wheel/167981 -> ciflow/binaries_wheel/167981 2025-12-04T08:55:29.0389977Z * [new tag] ciflow/dynamo/167695 -> ciflow/dynamo/167695 2025-12-04T08:55:29.0390916Z * [new tag] ciflow/dynamo/168096 -> ciflow/dynamo/168096 2025-12-04T08:55:29.0391671Z * [new tag] ciflow/dynamo/169525 -> ciflow/dynamo/169525 2025-12-04T08:55:29.0392755Z * [new tag] ciflow/h100-cutlass-backend/161938 -> ciflow/h100-cutlass-backend/161938 2025-12-04T08:55:29.0393519Z * [new tag] ciflow/h100-cutlass-backend/161940 -> ciflow/h100-cutlass-backend/161940 2025-12-04T08:55:29.0394352Z * [new tag] ciflow/h100-distributed/168923 -> ciflow/h100-distributed/168923 2025-12-04T08:55:29.0395129Z * [new tag] ciflow/h100-symm-mem/167552 -> ciflow/h100-symm-mem/167552 2025-12-04T08:55:29.0395855Z * [new tag] ciflow/h100-symm-mem/168129 -> ciflow/h100-symm-mem/168129 2025-12-04T08:55:29.0396550Z * [new tag] ciflow/h100-symm-mem/168917 -> ciflow/h100-symm-mem/168917 2025-12-04T08:55:29.0397746Z * [new tag] ciflow/h100-symm-mem/169156 -> ciflow/h100-symm-mem/169156 2025-12-04T08:55:29.0398350Z * [new tag] ciflow/h100-symm-mem/169200 -> ciflow/h100-symm-mem/169200 2025-12-04T08:55:29.0399079Z * [new tag] ciflow/h100-symm-mem/169216 -> ciflow/h100-symm-mem/169216 2025-12-04T08:55:29.0399809Z * [new tag] ciflow/h100-symm-mem/169338 -> ciflow/h100-symm-mem/169338 2025-12-04T08:55:29.0400610Z * [new tag] ciflow/h100-symm-mem/169355 -> ciflow/h100-symm-mem/169355 2025-12-04T08:55:29.0401362Z * [new tag] ciflow/h100-symm-mem/169543 -> ciflow/h100-symm-mem/169543 2025-12-04T08:55:29.0402267Z * [new tag] ciflow/h100/115316 -> ciflow/h100/115316 2025-12-04T08:55:29.0402851Z * [new tag] ciflow/h100/160685 -> ciflow/h100/160685 2025-12-04T08:55:29.0403612Z * [new tag] ciflow/h100/160729 -> ciflow/h100/160729 2025-12-04T08:55:29.0404367Z * [new tag] ciflow/h100/161607 -> ciflow/h100/161607 2025-12-04T08:55:29.0405130Z * [new tag] ciflow/h100/161938 -> ciflow/h100/161938 2025-12-04T08:55:29.0405826Z * [new tag] ciflow/h100/167207 -> ciflow/h100/167207 2025-12-04T08:55:29.0406611Z * [new tag] ciflow/h100/167989 -> ciflow/h100/167989 2025-12-04T08:55:29.0407231Z * [new tag] ciflow/h100/168096 -> ciflow/h100/168096 2025-12-04T08:55:29.0407943Z * [new tag] ciflow/h100/168175 -> ciflow/h100/168175 2025-12-04T08:55:29.0409133Z * [new tag] ciflow/h100/168195 -> ciflow/h100/168195 2025-12-04T08:55:29.0409788Z * [new tag] ciflow/h100/168980 -> ciflow/h100/168980 2025-12-04T08:55:29.0410831Z * [new tag] ciflow/h100/169200 -> ciflow/h100/169200 2025-12-04T08:55:29.0411844Z * [new tag] ciflow/h100/169216 -> ciflow/h100/169216 2025-12-04T08:55:29.0412723Z * [new tag] ciflow/h100/169380 -> ciflow/h100/169380 2025-12-04T08:55:29.0413446Z * [new tag] ciflow/h100/169412 -> ciflow/h100/169412 2025-12-04T08:55:29.0414189Z * [new tag] ciflow/h100/169470 -> ciflow/h100/169470 2025-12-04T08:55:29.0414947Z * [new tag] ciflow/h100/169471 -> ciflow/h100/169471 2025-12-04T08:55:29.0415667Z * [new tag] ciflow/h100/169472 -> ciflow/h100/169472 2025-12-04T08:55:29.0416416Z * [new tag] ciflow/h100/169514 -> ciflow/h100/169514 2025-12-04T08:55:29.0417475Z * [new tag] ciflow/inductor-cu126/168096 -> ciflow/inductor-cu126/168096 2025-12-04T08:55:29.0418707Z * [new tag] ciflow/inductor-micro-benchmark-cpu-x86/168096 -> ciflow/inductor-micro-benchmark-cpu-x86/168096 2025-12-04T08:55:29.0419458Z * [new tag] ciflow/inductor-micro-benchmark/166165 -> ciflow/inductor-micro-benchmark/166165 2025-12-04T08:55:29.0420268Z * [new tag] ciflow/inductor-micro-benchmark/168096 -> ciflow/inductor-micro-benchmark/168096 2025-12-04T08:55:29.0421161Z * [new tag] ciflow/inductor-perf-compare/168096 -> ciflow/inductor-perf-compare/168096 2025-12-04T08:55:29.0422511Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/168073 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168073 2025-12-04T08:55:29.0423152Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/168096 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168096 2025-12-04T08:55:29.0423980Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi300/169024 2025-12-04T08:55:29.0424858Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi355/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi355/169024 2025-12-04T08:55:29.0425643Z * [new tag] ciflow/inductor-perf-test-nightly/168096 -> ciflow/inductor-perf-test-nightly/168096 2025-12-04T08:55:29.0426444Z * [new tag] ciflow/inductor-periodic/168096 -> ciflow/inductor-periodic/168096 2025-12-04T08:55:29.0427154Z * [new tag] ciflow/inductor-periodic/169024 -> ciflow/inductor-periodic/169024 2025-12-04T08:55:29.0428012Z * [new tag] ciflow/inductor-periodic/169425 -> ciflow/inductor-periodic/169425 2025-12-04T08:55:29.0429138Z * [new tag] ciflow/inductor-rocm-mi200/165545 -> ciflow/inductor-rocm-mi200/165545 2025-12-04T08:55:29.0429913Z * [new tag] ciflow/inductor-rocm-mi200/165997 -> ciflow/inductor-rocm-mi200/165997 2025-12-04T08:55:29.0430617Z * [new tag] ciflow/inductor-rocm-mi200/168096 -> ciflow/inductor-rocm-mi200/168096 2025-12-04T08:55:29.0431460Z * [new tag] ciflow/inductor-rocm-mi200/169063 -> ciflow/inductor-rocm-mi200/169063 2025-12-04T08:55:29.0432178Z * [new tag] ciflow/inductor-rocm-mi200/169425 -> ciflow/inductor-rocm-mi200/169425 2025-12-04T08:55:29.0433230Z * [new tag] ciflow/inductor-rocm-mi300/165545 -> ciflow/inductor-rocm-mi300/165545 2025-12-04T08:55:29.0433865Z * [new tag] ciflow/inductor-rocm-mi300/168096 -> ciflow/inductor-rocm-mi300/168096 2025-12-04T08:55:29.0434509Z * [new tag] ciflow/inductor-rocm-mi300/169063 -> ciflow/inductor-rocm-mi300/169063 2025-12-04T08:55:29.0435698Z * [new tag] ciflow/inductor-rocm-mi300/169425 -> ciflow/inductor-rocm-mi300/169425 2025-12-04T08:55:29.0436661Z * [new tag] ciflow/inductor-rocm/162052 -> ciflow/inductor-rocm/162052 2025-12-04T08:55:29.0437335Z * [new tag] ciflow/inductor-rocm/168971 -> ciflow/inductor-rocm/168971 2025-12-04T08:55:29.0438283Z * [new tag] ciflow/inductor-windows/168096 -> ciflow/inductor-windows/168096 2025-12-04T08:55:29.0439244Z * [new tag] ciflow/inductor/144542 -> ciflow/inductor/144542 2025-12-04T08:55:29.0439864Z * [new tag] ciflow/inductor/146506 -> ciflow/inductor/146506 2025-12-04T08:55:29.0440593Z * [new tag] ciflow/inductor/147990 -> ciflow/inductor/147990 2025-12-04T08:55:29.0441487Z * [new tag] ciflow/inductor/148294 -> ciflow/inductor/148294 2025-12-04T08:55:29.0442170Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-12-04T08:55:29.0442873Z * [new tag] ciflow/inductor/157149 -> ciflow/inductor/157149 2025-12-04T08:55:29.0443569Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-12-04T08:55:29.0444330Z * [new tag] ciflow/inductor/160685 -> ciflow/inductor/160685 2025-12-04T08:55:29.0445111Z * [new tag] ciflow/inductor/160686 -> ciflow/inductor/160686 2025-12-04T08:55:29.0445836Z * [new tag] ciflow/inductor/160687 -> ciflow/inductor/160687 2025-12-04T08:55:29.0446545Z * [new tag] ciflow/inductor/160688 -> ciflow/inductor/160688 2025-12-04T08:55:29.0447622Z * [new tag] ciflow/inductor/160706 -> ciflow/inductor/160706 2025-12-04T08:55:29.0448586Z * [new tag] ciflow/inductor/160729 -> ciflow/inductor/160729 2025-12-04T08:55:29.0449656Z * [new tag] ciflow/inductor/161938 -> ciflow/inductor/161938 2025-12-04T08:55:29.0452792Z * [new tag] ciflow/inductor/161939 -> ciflow/inductor/161939 2025-12-04T08:55:29.0453488Z * [new tag] ciflow/inductor/161940 -> ciflow/inductor/161940 2025-12-04T08:55:29.0454218Z * [new tag] ciflow/inductor/162052 -> ciflow/inductor/162052 2025-12-04T08:55:29.0454984Z * [new tag] ciflow/inductor/162275 -> ciflow/inductor/162275 2025-12-04T08:55:29.0455707Z * [new tag] ciflow/inductor/162795 -> ciflow/inductor/162795 2025-12-04T08:55:29.0456744Z * [new tag] ciflow/inductor/163245 -> ciflow/inductor/163245 2025-12-04T08:55:29.0457449Z * [new tag] ciflow/inductor/163335 -> ciflow/inductor/163335 2025-12-04T08:55:29.0458212Z * [new tag] ciflow/inductor/163503 -> ciflow/inductor/163503 2025-12-04T08:55:29.0458959Z * [new tag] ciflow/inductor/163942 -> ciflow/inductor/163942 2025-12-04T08:55:29.0459920Z * [new tag] ciflow/inductor/165270 -> ciflow/inductor/165270 2025-12-04T08:55:29.0460599Z * [new tag] ciflow/inductor/165274 -> ciflow/inductor/165274 2025-12-04T08:55:29.0461332Z * [new tag] ciflow/inductor/165322 -> ciflow/inductor/165322 2025-12-04T08:55:29.0462072Z * [new tag] ciflow/inductor/165597 -> ciflow/inductor/165597 2025-12-04T08:55:29.0462898Z * [new tag] ciflow/inductor/166063 -> ciflow/inductor/166063 2025-12-04T08:55:29.0463678Z * [new tag] ciflow/inductor/166075 -> ciflow/inductor/166075 2025-12-04T08:55:29.0464401Z * [new tag] ciflow/inductor/166165 -> ciflow/inductor/166165 2025-12-04T08:55:29.0465624Z * [new tag] ciflow/inductor/166254 -> ciflow/inductor/166254 2025-12-04T08:55:29.0466163Z * [new tag] ciflow/inductor/166483 -> ciflow/inductor/166483 2025-12-04T08:55:29.0467096Z * [new tag] ciflow/inductor/166494 -> ciflow/inductor/166494 2025-12-04T08:55:29.0467751Z * [new tag] ciflow/inductor/166545 -> ciflow/inductor/166545 2025-12-04T08:55:29.0468518Z * [new tag] ciflow/inductor/166788 -> ciflow/inductor/166788 2025-12-04T08:55:29.0469474Z * [new tag] ciflow/inductor/166846 -> ciflow/inductor/166846 2025-12-04T08:55:29.0470179Z * [new tag] ciflow/inductor/167300 -> ciflow/inductor/167300 2025-12-04T08:55:29.0470891Z * [new tag] ciflow/inductor/167407 -> ciflow/inductor/167407 2025-12-04T08:55:29.0471836Z * [new tag] ciflow/inductor/167536 -> ciflow/inductor/167536 2025-12-04T08:55:29.0472510Z * [new tag] ciflow/inductor/167552 -> ciflow/inductor/167552 2025-12-04T08:55:29.0473300Z * [new tag] ciflow/inductor/167555 -> ciflow/inductor/167555 2025-12-04T08:55:29.0474232Z * [new tag] ciflow/inductor/167583 -> ciflow/inductor/167583 2025-12-04T08:55:29.0474879Z * [new tag] ciflow/inductor/167599 -> ciflow/inductor/167599 2025-12-04T08:55:29.0475642Z * [new tag] ciflow/inductor/167647 -> ciflow/inductor/167647 2025-12-04T08:55:29.0476405Z * [new tag] ciflow/inductor/167677 -> ciflow/inductor/167677 2025-12-04T08:55:29.0477163Z * [new tag] ciflow/inductor/167680 -> ciflow/inductor/167680 2025-12-04T08:55:29.0477910Z * [new tag] ciflow/inductor/167695 -> ciflow/inductor/167695 2025-12-04T08:55:29.0478662Z * [new tag] ciflow/inductor/167742 -> ciflow/inductor/167742 2025-12-04T08:55:29.0479448Z * [new tag] ciflow/inductor/167768 -> ciflow/inductor/167768 2025-12-04T08:55:29.0480482Z * [new tag] ciflow/inductor/167773 -> ciflow/inductor/167773 2025-12-04T08:55:29.0481152Z * [new tag] ciflow/inductor/167781 -> ciflow/inductor/167781 2025-12-04T08:55:29.0481943Z * [new tag] ciflow/inductor/167880 -> ciflow/inductor/167880 2025-12-04T08:55:29.0482692Z * [new tag] ciflow/inductor/167887 -> ciflow/inductor/167887 2025-12-04T08:55:29.0483457Z * [new tag] ciflow/inductor/167972 -> ciflow/inductor/167972 2025-12-04T08:55:29.0484249Z * [new tag] ciflow/inductor/167989 -> ciflow/inductor/167989 2025-12-04T08:55:29.0485153Z * [new tag] ciflow/inductor/168002 -> ciflow/inductor/168002 2025-12-04T08:55:29.0485832Z * [new tag] ciflow/inductor/168050 -> ciflow/inductor/168050 2025-12-04T08:55:29.0486581Z * [new tag] ciflow/inductor/168051 -> ciflow/inductor/168051 2025-12-04T08:55:29.0487322Z * [new tag] ciflow/inductor/168052 -> ciflow/inductor/168052 2025-12-04T08:55:29.0488134Z * [new tag] ciflow/inductor/168073 -> ciflow/inductor/168073 2025-12-04T08:55:29.0489416Z * [new tag] ciflow/inductor/168096 -> ciflow/inductor/168096 2025-12-04T08:55:29.0490073Z * [new tag] ciflow/inductor/168114 -> ciflow/inductor/168114 2025-12-04T08:55:29.0490835Z * [new tag] ciflow/inductor/168115 -> ciflow/inductor/168115 2025-12-04T08:55:29.0491559Z * [new tag] ciflow/inductor/168127 -> ciflow/inductor/168127 2025-12-04T08:55:29.0492502Z * [new tag] ciflow/inductor/168129 -> ciflow/inductor/168129 2025-12-04T08:55:29.0493143Z * [new tag] ciflow/inductor/168157 -> ciflow/inductor/168157 2025-12-04T08:55:29.0493888Z * [new tag] ciflow/inductor/168175 -> ciflow/inductor/168175 2025-12-04T08:55:29.0494847Z * [new tag] ciflow/inductor/168185 -> ciflow/inductor/168185 2025-12-04T08:55:29.0495439Z * [new tag] ciflow/inductor/168195 -> ciflow/inductor/168195 2025-12-04T08:55:29.0496208Z * [new tag] ciflow/inductor/168209 -> ciflow/inductor/168209 2025-12-04T08:55:29.0496966Z * [new tag] ciflow/inductor/168266 -> ciflow/inductor/168266 2025-12-04T08:55:29.0497719Z * [new tag] ciflow/inductor/168316 -> ciflow/inductor/168316 2025-12-04T08:55:29.0498746Z * [new tag] ciflow/inductor/168326 -> ciflow/inductor/168326 2025-12-04T08:55:29.0499407Z * [new tag] ciflow/inductor/168368 -> ciflow/inductor/168368 2025-12-04T08:55:29.0500177Z * [new tag] ciflow/inductor/168894 -> ciflow/inductor/168894 2025-12-04T08:55:29.0500929Z * [new tag] ciflow/inductor/168934 -> ciflow/inductor/168934 2025-12-04T08:55:29.0501702Z * [new tag] ciflow/inductor/168939 -> ciflow/inductor/168939 2025-12-04T08:55:29.0502429Z * [new tag] ciflow/inductor/168946 -> ciflow/inductor/168946 2025-12-04T08:55:29.0503188Z * [new tag] ciflow/inductor/168950 -> ciflow/inductor/168950 2025-12-04T08:55:29.0503946Z * [new tag] ciflow/inductor/168951 -> ciflow/inductor/168951 2025-12-04T08:55:29.0504683Z * [new tag] ciflow/inductor/168952 -> ciflow/inductor/168952 2025-12-04T08:55:29.0505466Z * [new tag] ciflow/inductor/168955 -> ciflow/inductor/168955 2025-12-04T08:55:29.0506207Z * [new tag] ciflow/inductor/168971 -> ciflow/inductor/168971 2025-12-04T08:55:29.0506984Z * [new tag] ciflow/inductor/168979 -> ciflow/inductor/168979 2025-12-04T08:55:29.0507737Z * [new tag] ciflow/inductor/168980 -> ciflow/inductor/168980 2025-12-04T08:55:29.0508743Z * [new tag] ciflow/inductor/168983 -> ciflow/inductor/168983 2025-12-04T08:55:29.0509430Z * [new tag] ciflow/inductor/169006 -> ciflow/inductor/169006 2025-12-04T08:55:29.0510224Z * [new tag] ciflow/inductor/169023 -> ciflow/inductor/169023 2025-12-04T08:55:29.0510993Z * [new tag] ciflow/inductor/169024 -> ciflow/inductor/169024 2025-12-04T08:55:29.0511765Z * [new tag] ciflow/inductor/169025 -> ciflow/inductor/169025 2025-12-04T08:55:29.0512549Z * [new tag] ciflow/inductor/169066 -> ciflow/inductor/169066 2025-12-04T08:55:29.0513297Z * [new tag] ciflow/inductor/169091 -> ciflow/inductor/169091 2025-12-04T08:55:29.0514031Z * [new tag] ciflow/inductor/169102 -> ciflow/inductor/169102 2025-12-04T08:55:29.0514797Z * [new tag] ciflow/inductor/169103 -> ciflow/inductor/169103 2025-12-04T08:55:29.0515539Z * [new tag] ciflow/inductor/169121 -> ciflow/inductor/169121 2025-12-04T08:55:29.0516310Z * [new tag] ciflow/inductor/169134 -> ciflow/inductor/169134 2025-12-04T08:55:29.0517219Z * [new tag] ciflow/inductor/169135 -> ciflow/inductor/169135 2025-12-04T08:55:29.0517883Z * [new tag] ciflow/inductor/169141 -> ciflow/inductor/169141 2025-12-04T08:55:29.0518645Z * [new tag] ciflow/inductor/169151 -> ciflow/inductor/169151 2025-12-04T08:55:29.0519643Z * [new tag] ciflow/inductor/169161 -> ciflow/inductor/169161 2025-12-04T08:55:29.0520286Z * [new tag] ciflow/inductor/169167 -> ciflow/inductor/169167 2025-12-04T08:55:29.0521322Z * [new tag] ciflow/inductor/169177 -> ciflow/inductor/169177 2025-12-04T08:55:29.0522124Z * [new tag] ciflow/inductor/169185 -> ciflow/inductor/169185 2025-12-04T08:55:29.0522886Z * [new tag] ciflow/inductor/169196 -> ciflow/inductor/169196 2025-12-04T08:55:29.0523670Z * [new tag] ciflow/inductor/169200 -> ciflow/inductor/169200 2025-12-04T08:55:29.0524444Z * [new tag] ciflow/inductor/169204 -> ciflow/inductor/169204 2025-12-04T08:55:29.0525349Z * [new tag] ciflow/inductor/169216 -> ciflow/inductor/169216 2025-12-04T08:55:29.0526049Z * [new tag] ciflow/inductor/169219 -> ciflow/inductor/169219 2025-12-04T08:55:29.0526771Z * [new tag] ciflow/inductor/169220 -> ciflow/inductor/169220 2025-12-04T08:55:29.0527755Z * [new tag] ciflow/inductor/169230 -> ciflow/inductor/169230 2025-12-04T08:55:29.0528406Z * [new tag] ciflow/inductor/169242 -> ciflow/inductor/169242 2025-12-04T08:55:29.0529219Z * [new tag] ciflow/inductor/169245 -> ciflow/inductor/169245 2025-12-04T08:55:29.0530130Z * [new tag] ciflow/inductor/169260 -> ciflow/inductor/169260 2025-12-04T08:55:29.0530819Z * [new tag] ciflow/inductor/169282 -> ciflow/inductor/169282 2025-12-04T08:55:29.0531576Z * [new tag] ciflow/inductor/169286 -> ciflow/inductor/169286 2025-12-04T08:55:29.0532507Z * [new tag] ciflow/inductor/169299 -> ciflow/inductor/169299 2025-12-04T08:55:29.0533244Z * [new tag] ciflow/inductor/169304 -> ciflow/inductor/169304 2025-12-04T08:55:29.0534459Z * [new tag] ciflow/inductor/169305 -> ciflow/inductor/169305 2025-12-04T08:55:29.0535152Z * [new tag] ciflow/inductor/169308 -> ciflow/inductor/169308 2025-12-04T08:55:29.0535920Z * [new tag] ciflow/inductor/169319 -> ciflow/inductor/169319 2025-12-04T08:55:29.0536666Z * [new tag] ciflow/inductor/169326 -> ciflow/inductor/169326 2025-12-04T08:55:29.0537455Z * [new tag] ciflow/inductor/169332 -> ciflow/inductor/169332 2025-12-04T08:55:29.0538180Z * [new tag] ciflow/inductor/169333 -> ciflow/inductor/169333 2025-12-04T08:55:29.0539278Z * [new tag] ciflow/inductor/169336 -> ciflow/inductor/169336 2025-12-04T08:55:29.0540406Z * [new tag] ciflow/inductor/169340 -> ciflow/inductor/169340 2025-12-04T08:55:29.0541112Z * [new tag] ciflow/inductor/169341 -> ciflow/inductor/169341 2025-12-04T08:55:29.0542045Z * [new tag] ciflow/inductor/169343 -> ciflow/inductor/169343 2025-12-04T08:55:29.0542717Z * [new tag] ciflow/inductor/169346 -> ciflow/inductor/169346 2025-12-04T08:55:29.0543821Z * [new tag] ciflow/inductor/169348 -> ciflow/inductor/169348 2025-12-04T08:55:29.0544596Z * [new tag] ciflow/inductor/169350 -> ciflow/inductor/169350 2025-12-04T08:55:29.0545359Z * [new tag] ciflow/inductor/169355 -> ciflow/inductor/169355 2025-12-04T08:55:29.0546149Z * [new tag] ciflow/inductor/169370 -> ciflow/inductor/169370 2025-12-04T08:55:29.0547260Z * [new tag] ciflow/inductor/169375 -> ciflow/inductor/169375 2025-12-04T08:55:29.0547954Z * [new tag] ciflow/inductor/169389 -> ciflow/inductor/169389 2025-12-04T08:55:29.0548702Z * [new tag] ciflow/inductor/169391 -> ciflow/inductor/169391 2025-12-04T08:55:29.0549487Z * [new tag] ciflow/inductor/169393 -> ciflow/inductor/169393 2025-12-04T08:55:29.0550453Z * [new tag] ciflow/inductor/169399 -> ciflow/inductor/169399 2025-12-04T08:55:29.0551339Z * [new tag] ciflow/inductor/169400 -> ciflow/inductor/169400 2025-12-04T08:55:29.0552054Z * [new tag] ciflow/inductor/169415 -> ciflow/inductor/169415 2025-12-04T08:55:29.0552815Z * [new tag] ciflow/inductor/169417 -> ciflow/inductor/169417 2025-12-04T08:55:29.0553726Z * [new tag] ciflow/inductor/169418 -> ciflow/inductor/169418 2025-12-04T08:55:29.0554724Z * [new tag] ciflow/inductor/169430 -> ciflow/inductor/169430 2025-12-04T08:55:29.0555433Z * [new tag] ciflow/inductor/169432 -> ciflow/inductor/169432 2025-12-04T08:55:29.0556159Z * [new tag] ciflow/inductor/169436 -> ciflow/inductor/169436 2025-12-04T08:55:29.0557142Z * [new tag] ciflow/inductor/169437 -> ciflow/inductor/169437 2025-12-04T08:55:29.0557889Z * [new tag] ciflow/inductor/169438 -> ciflow/inductor/169438 2025-12-04T08:55:29.0558673Z * [new tag] ciflow/inductor/169441 -> ciflow/inductor/169441 2025-12-04T08:55:29.0559418Z * [new tag] ciflow/inductor/169446 -> ciflow/inductor/169446 2025-12-04T08:55:29.0560363Z * [new tag] ciflow/inductor/169447 -> ciflow/inductor/169447 2025-12-04T08:55:29.0561061Z * [new tag] ciflow/inductor/169452 -> ciflow/inductor/169452 2025-12-04T08:55:29.0562045Z * [new tag] ciflow/inductor/169455 -> ciflow/inductor/169455 2025-12-04T08:55:29.0562734Z * [new tag] ciflow/inductor/169459 -> ciflow/inductor/169459 2025-12-04T08:55:29.0563722Z * [new tag] ciflow/inductor/169463 -> ciflow/inductor/169463 2025-12-04T08:55:29.0564693Z * [new tag] ciflow/inductor/169476 -> ciflow/inductor/169476 2025-12-04T08:55:29.0565412Z * [new tag] ciflow/inductor/169485 -> ciflow/inductor/169485 2025-12-04T08:55:29.0566191Z * [new tag] ciflow/inductor/169493 -> ciflow/inductor/169493 2025-12-04T08:55:29.0566945Z * [new tag] ciflow/inductor/169496 -> ciflow/inductor/169496 2025-12-04T08:55:29.0567739Z * [new tag] ciflow/inductor/169497 -> ciflow/inductor/169497 2025-12-04T08:55:29.0568529Z * [new tag] ciflow/inductor/169503 -> ciflow/inductor/169503 2025-12-04T08:55:29.0569294Z * [new tag] ciflow/inductor/169504 -> ciflow/inductor/169504 2025-12-04T08:55:29.0570568Z * [new tag] ciflow/inductor/169505 -> ciflow/inductor/169505 2025-12-04T08:55:29.0571744Z * [new tag] ciflow/inductor/169508 -> ciflow/inductor/169508 2025-12-04T08:55:29.0572404Z * [new tag] ciflow/inductor/169509 -> ciflow/inductor/169509 2025-12-04T08:55:29.0573162Z * [new tag] ciflow/inductor/169513 -> ciflow/inductor/169513 2025-12-04T08:55:29.0573957Z * [new tag] ciflow/inductor/169514 -> ciflow/inductor/169514 2025-12-04T08:55:29.0574737Z * [new tag] ciflow/inductor/169515 -> ciflow/inductor/169515 2025-12-04T08:55:29.0575501Z * [new tag] ciflow/inductor/169517 -> ciflow/inductor/169517 2025-12-04T08:55:29.0576262Z * [new tag] ciflow/inductor/169519 -> ciflow/inductor/169519 2025-12-04T08:55:29.0577044Z * [new tag] ciflow/inductor/169520 -> ciflow/inductor/169520 2025-12-04T08:55:29.0577783Z * [new tag] ciflow/inductor/169521 -> ciflow/inductor/169521 2025-12-04T08:55:29.0578549Z * [new tag] ciflow/inductor/169524 -> ciflow/inductor/169524 2025-12-04T08:55:29.0579329Z * [new tag] ciflow/inductor/169527 -> ciflow/inductor/169527 2025-12-04T08:55:29.0580103Z * [new tag] ciflow/inductor/169528 -> ciflow/inductor/169528 2025-12-04T08:55:29.0581077Z * [new tag] ciflow/inductor/169532 -> ciflow/inductor/169532 2025-12-04T08:55:29.0581748Z * [new tag] ciflow/inductor/169535 -> ciflow/inductor/169535 2025-12-04T08:55:29.0582526Z * [new tag] ciflow/inductor/169536 -> ciflow/inductor/169536 2025-12-04T08:55:29.0583276Z * [new tag] ciflow/inductor/169547 -> ciflow/inductor/169547 2025-12-04T08:55:29.0584101Z * [new tag] ciflow/inductor/169548 -> ciflow/inductor/169548 2025-12-04T08:55:29.0584817Z * [new tag] ciflow/inductor/169549 -> ciflow/inductor/169549 2025-12-04T08:55:29.0585568Z * [new tag] ciflow/inductor/169551 -> ciflow/inductor/169551 2025-12-04T08:55:29.0586342Z * [new tag] ciflow/inductor/169552 -> ciflow/inductor/169552 2025-12-04T08:55:29.0587096Z * [new tag] ciflow/inductor/169553 -> ciflow/inductor/169553 2025-12-04T08:55:29.0588246Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-12-04T08:55:29.0589197Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-12-04T08:55:29.0590004Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-12-04T08:55:29.0591075Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-12-04T08:55:29.0591715Z * [new tag] ciflow/linux-aarch64/166075 -> ciflow/linux-aarch64/166075 2025-12-04T08:55:29.0592446Z * [new tag] ciflow/linux-aarch64/166876 -> ciflow/linux-aarch64/166876 2025-12-04T08:55:29.0593159Z * [new tag] ciflow/linux-aarch64/167981 -> ciflow/linux-aarch64/167981 2025-12-04T08:55:29.0594112Z * [new tag] ciflow/mps/166254 -> ciflow/mps/166254 2025-12-04T08:55:29.0594887Z * [new tag] ciflow/mps/169017 -> ciflow/mps/169017 2025-12-04T08:55:29.0595721Z * [new tag] ciflow/mps/169372 -> ciflow/mps/169372 2025-12-04T08:55:29.0596476Z * [new tag] ciflow/mps/169478 -> ciflow/mps/169478 2025-12-04T08:55:29.0597521Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-12-04T08:55:29.0598101Z * [new tag] ciflow/op-benchmark/166075 -> ciflow/op-benchmark/166075 2025-12-04T08:55:29.0598846Z * [new tag] ciflow/op-benchmark/169544 -> ciflow/op-benchmark/169544 2025-12-04T08:55:29.0599902Z * [new tag] ciflow/periodic-rocm-mi200/165997 -> ciflow/periodic-rocm-mi200/165997 2025-12-04T08:55:29.0600682Z * [new tag] ciflow/periodic-rocm-mi200/166517 -> ciflow/periodic-rocm-mi200/166517 2025-12-04T08:55:29.0601429Z * [new tag] ciflow/periodic-rocm-mi200/169063 -> ciflow/periodic-rocm-mi200/169063 2025-12-04T08:55:29.0602138Z * [new tag] ciflow/periodic-rocm-mi200/169425 -> ciflow/periodic-rocm-mi200/169425 2025-12-04T08:55:29.0603021Z * [new tag] ciflow/periodic-rocm-mi300/166517 -> ciflow/periodic-rocm-mi300/166517 2025-12-04T08:55:29.0603801Z * [new tag] ciflow/periodic-rocm-mi300/169063 -> ciflow/periodic-rocm-mi300/169063 2025-12-04T08:55:29.0604600Z * [new tag] ciflow/periodic-rocm-mi300/169425 -> ciflow/periodic-rocm-mi300/169425 2025-12-04T08:55:29.0605954Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-12-04T08:55:29.0606580Z * [new tag] ciflow/periodic/167207 -> ciflow/periodic/167207 2025-12-04T08:55:29.0607525Z * [new tag] ciflow/periodic/167978 -> ciflow/periodic/167978 2025-12-04T08:55:29.0608249Z * [new tag] ciflow/periodic/168096 -> ciflow/periodic/168096 2025-12-04T08:55:29.0608877Z * [new tag] ciflow/periodic/169286 -> ciflow/periodic/169286 2025-12-04T08:55:29.0609879Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-12-04T08:55:29.0610733Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-12-04T08:55:29.0611537Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-12-04T08:55:29.0612598Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-12-04T08:55:29.0614181Z * [new tag] ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 2025-12-04T08:55:29.0614948Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-12-04T08:55:29.0616189Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-12-04T08:55:29.0617019Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-12-04T08:55:29.0618041Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-12-04T08:55:29.0619090Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-12-04T08:55:29.0620132Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-12-04T08:55:29.0621120Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-12-04T08:55:29.0621980Z * [new tag] ciflow/pull/167207 -> ciflow/pull/167207 2025-12-04T08:55:29.0623167Z * [new tag] ciflow/quantization-periodic/169207 -> ciflow/quantization-periodic/169207 2025-12-04T08:55:29.0623854Z * [new tag] ciflow/rocm-mi200/165545 -> ciflow/rocm-mi200/165545 2025-12-04T08:55:29.0624582Z * [new tag] ciflow/rocm-mi200/165997 -> ciflow/rocm-mi200/165997 2025-12-04T08:55:29.0625289Z * [new tag] ciflow/rocm-mi200/168096 -> ciflow/rocm-mi200/168096 2025-12-04T08:55:29.0626270Z * [new tag] ciflow/rocm-mi200/168275 -> ciflow/rocm-mi200/168275 2025-12-04T08:55:29.0626942Z * [new tag] ciflow/rocm-mi200/169063 -> ciflow/rocm-mi200/169063 2025-12-04T08:55:29.0627720Z * [new tag] ciflow/rocm-mi200/169356 -> ciflow/rocm-mi200/169356 2025-12-04T08:55:29.0628467Z * [new tag] ciflow/rocm-mi200/169425 -> ciflow/rocm-mi200/169425 2025-12-04T08:55:29.0629435Z * [new tag] ciflow/rocm-mi300/165545 -> ciflow/rocm-mi300/165545 2025-12-04T08:55:29.0630228Z * [new tag] ciflow/rocm-mi300/167157 -> ciflow/rocm-mi300/167157 2025-12-04T08:55:29.0630942Z * [new tag] ciflow/rocm-mi300/168096 -> ciflow/rocm-mi300/168096 2025-12-04T08:55:29.0631646Z * [new tag] ciflow/rocm-mi300/169063 -> ciflow/rocm-mi300/169063 2025-12-04T08:55:29.0632362Z * [new tag] ciflow/rocm-mi300/169425 -> ciflow/rocm-mi300/169425 2025-12-04T08:55:29.0633334Z * [new tag] ciflow/rocm-mi355/167157 -> ciflow/rocm-mi355/167157 2025-12-04T08:55:29.0633977Z * [new tag] ciflow/rocm-mi355/168275 -> ciflow/rocm-mi355/168275 2025-12-04T08:55:29.0634666Z * [new tag] ciflow/rocm-mi355/169425 -> ciflow/rocm-mi355/169425 2025-12-04T08:55:29.0635661Z * [new tag] ciflow/rocm-navi31/168275 -> ciflow/rocm-navi31/168275 2025-12-04T08:55:29.0636310Z * [new tag] ciflow/rocm-navi31/169425 -> ciflow/rocm-navi31/169425 2025-12-04T08:55:29.0637364Z * [new tag] ciflow/rocm/115316 -> ciflow/rocm/115316 2025-12-04T08:55:29.0638012Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-12-04T08:55:29.0638731Z * [new tag] ciflow/rocm/160685 -> ciflow/rocm/160685 2025-12-04T08:55:29.0639618Z * [new tag] ciflow/rocm/161607 -> ciflow/rocm/161607 2025-12-04T08:55:29.0640283Z * [new tag] ciflow/rocm/162052 -> ciflow/rocm/162052 2025-12-04T08:55:29.0640964Z * [new tag] ciflow/rocm/165997 -> ciflow/rocm/165997 2025-12-04T08:55:29.0641681Z * [new tag] ciflow/rocm/166165 -> ciflow/rocm/166165 2025-12-04T08:55:29.0642387Z * [new tag] ciflow/rocm/166517 -> ciflow/rocm/166517 2025-12-04T08:55:29.0643095Z * [new tag] ciflow/rocm/167207 -> ciflow/rocm/167207 2025-12-04T08:55:29.0643887Z * [new tag] ciflow/rocm/167536 -> ciflow/rocm/167536 2025-12-04T08:55:29.0644682Z * [new tag] ciflow/rocm/167781 -> ciflow/rocm/167781 2025-12-04T08:55:29.0645735Z * [new tag] ciflow/rocm/167989 -> ciflow/rocm/167989 2025-12-04T08:55:29.0646714Z * [new tag] ciflow/rocm/168073 -> ciflow/rocm/168073 2025-12-04T08:55:29.0647733Z * [new tag] ciflow/rocm/168195 -> ciflow/rocm/168195 2025-12-04T08:55:29.0648356Z * [new tag] ciflow/rocm/168939 -> ciflow/rocm/168939 2025-12-04T08:55:29.0649233Z * [new tag] ciflow/rocm/168971 -> ciflow/rocm/168971 2025-12-04T08:55:29.0650184Z * [new tag] ciflow/rocm/169024 -> ciflow/rocm/169024 2025-12-04T08:55:29.0650891Z * [new tag] ciflow/rocm/169200 -> ciflow/rocm/169200 2025-12-04T08:55:29.0651540Z * [new tag] ciflow/rocm/169216 -> ciflow/rocm/169216 2025-12-04T08:55:29.0652280Z * [new tag] ciflow/rocm/169312 -> ciflow/rocm/169312 2025-12-04T08:55:29.0653002Z * [new tag] ciflow/rocm/169380 -> ciflow/rocm/169380 2025-12-04T08:55:29.0653798Z * [new tag] ciflow/rocm/169427 -> ciflow/rocm/169427 2025-12-04T08:55:29.0654538Z * [new tag] ciflow/rocm/169455 -> ciflow/rocm/169455 2025-12-04T08:55:29.0655278Z * [new tag] ciflow/rocm/169470 -> ciflow/rocm/169470 2025-12-04T08:55:29.0656034Z * [new tag] ciflow/rocm/169471 -> ciflow/rocm/169471 2025-12-04T08:55:29.0656796Z * [new tag] ciflow/rocm/169472 -> ciflow/rocm/169472 2025-12-04T08:55:29.0657531Z * [new tag] ciflow/rocm/169514 -> ciflow/rocm/169514 2025-12-04T08:55:29.0658752Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-12-04T08:55:29.0659523Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-12-04T08:55:29.0660939Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-12-04T08:55:29.0661347Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-12-04T08:55:29.0662120Z * [new tag] ciflow/slow/167207 -> ciflow/slow/167207 2025-12-04T08:55:29.0662842Z * [new tag] ciflow/slow/168050 -> ciflow/slow/168050 2025-12-04T08:55:29.0663840Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-12-04T08:55:29.0665294Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-12-04T08:55:29.0666412Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-12-04T08:55:29.0667587Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-12-04T08:55:29.0668674Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-12-04T08:55:29.0669625Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-12-04T08:55:29.0670493Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-12-04T08:55:29.0671461Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-12-04T08:55:29.0672880Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-12-04T08:55:29.0673342Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-12-04T08:55:29.0674315Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-12-04T08:55:29.0675196Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-12-04T08:55:29.0676208Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-12-04T08:55:29.0677085Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-12-04T08:55:29.0678507Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-12-04T08:55:29.0679010Z * [new tag] ciflow/torchbench/168175 -> ciflow/torchbench/168175 2025-12-04T08:55:29.0679957Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-12-04T08:55:29.0680575Z * [new tag] ciflow/trunk/157149 -> ciflow/trunk/157149 2025-12-04T08:55:29.0681346Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-12-04T08:55:29.0682084Z * [new tag] ciflow/trunk/159718 -> ciflow/trunk/159718 2025-12-04T08:55:29.0682779Z * [new tag] ciflow/trunk/160685 -> ciflow/trunk/160685 2025-12-04T08:55:29.0683518Z * [new tag] ciflow/trunk/160729 -> ciflow/trunk/160729 2025-12-04T08:55:29.0684262Z * [new tag] ciflow/trunk/162275 -> ciflow/trunk/162275 2025-12-04T08:55:29.0685129Z * [new tag] ciflow/trunk/162795 -> ciflow/trunk/162795 2025-12-04T08:55:29.0685853Z * [new tag] ciflow/trunk/163245 -> ciflow/trunk/163245 2025-12-04T08:55:29.0686475Z * [new tag] ciflow/trunk/163942 -> ciflow/trunk/163942 2025-12-04T08:55:29.0687178Z * [new tag] ciflow/trunk/165274 -> ciflow/trunk/165274 2025-12-04T08:55:29.0688404Z * [new tag] ciflow/trunk/165483 -> ciflow/trunk/165483 2025-12-04T08:55:29.0689374Z * [new tag] ciflow/trunk/165728 -> ciflow/trunk/165728 2025-12-04T08:55:29.0690301Z * [new tag] ciflow/trunk/165922 -> ciflow/trunk/165922 2025-12-04T08:55:29.0691002Z * [new tag] ciflow/trunk/166075 -> ciflow/trunk/166075 2025-12-04T08:55:29.0691929Z * [new tag] ciflow/trunk/166165 -> ciflow/trunk/166165 2025-12-04T08:55:29.0692620Z * [new tag] ciflow/trunk/166829 -> ciflow/trunk/166829 2025-12-04T08:55:29.0693586Z * [new tag] ciflow/trunk/166843 -> ciflow/trunk/166843 2025-12-04T08:55:29.0694279Z * [new tag] ciflow/trunk/166876 -> ciflow/trunk/166876 2025-12-04T08:55:29.0695780Z * [new tag] ciflow/trunk/167207 -> ciflow/trunk/167207 2025-12-04T08:55:29.0696525Z * [new tag] ciflow/trunk/167536 -> ciflow/trunk/167536 2025-12-04T08:55:29.0697269Z * [new tag] ciflow/trunk/167552 -> ciflow/trunk/167552 2025-12-04T08:55:29.0698015Z * [new tag] ciflow/trunk/167555 -> ciflow/trunk/167555 2025-12-04T08:55:29.0698802Z * [new tag] ciflow/trunk/167599 -> ciflow/trunk/167599 2025-12-04T08:55:29.0699560Z * [new tag] ciflow/trunk/167659 -> ciflow/trunk/167659 2025-12-04T08:55:29.0700580Z * [new tag] ciflow/trunk/167672 -> ciflow/trunk/167672 2025-12-04T08:55:29.0701261Z * [new tag] ciflow/trunk/167742 -> ciflow/trunk/167742 2025-12-04T08:55:29.0702028Z * [new tag] ciflow/trunk/167781 -> ciflow/trunk/167781 2025-12-04T08:55:29.0703023Z * [new tag] ciflow/trunk/167837 -> ciflow/trunk/167837 2025-12-04T08:55:29.0703715Z * [new tag] ciflow/trunk/167887 -> ciflow/trunk/167887 2025-12-04T08:55:29.0704476Z * [new tag] ciflow/trunk/167978 -> ciflow/trunk/167978 2025-12-04T08:55:29.0705325Z * [new tag] ciflow/trunk/168050 -> ciflow/trunk/168050 2025-12-04T08:55:29.0706062Z * [new tag] ciflow/trunk/168051 -> ciflow/trunk/168051 2025-12-04T08:55:29.0706860Z * [new tag] ciflow/trunk/168096 -> ciflow/trunk/168096 2025-12-04T08:55:29.0707551Z * [new tag] ciflow/trunk/168127 -> ciflow/trunk/168127 2025-12-04T08:55:29.0708315Z * [new tag] ciflow/trunk/168157 -> ciflow/trunk/168157 2025-12-04T08:55:29.0709068Z * [new tag] ciflow/trunk/168175 -> ciflow/trunk/168175 2025-12-04T08:55:29.0709823Z * [new tag] ciflow/trunk/168209 -> ciflow/trunk/168209 2025-12-04T08:55:29.0710821Z * [new tag] ciflow/trunk/168213 -> ciflow/trunk/168213 2025-12-04T08:55:29.0711747Z * [new tag] ciflow/trunk/168226 -> ciflow/trunk/168226 2025-12-04T08:55:29.0712424Z * [new tag] ciflow/trunk/168262 -> ciflow/trunk/168262 2025-12-04T08:55:29.0713179Z * [new tag] ciflow/trunk/168275 -> ciflow/trunk/168275 2025-12-04T08:55:29.0714129Z * [new tag] ciflow/trunk/168328 -> ciflow/trunk/168328 2025-12-04T08:55:29.0714805Z * [new tag] ciflow/trunk/168368 -> ciflow/trunk/168368 2025-12-04T08:55:29.0715586Z * [new tag] ciflow/trunk/168917 -> ciflow/trunk/168917 2025-12-04T08:55:29.0716496Z * [new tag] ciflow/trunk/168933 -> ciflow/trunk/168933 2025-12-04T08:55:29.0717298Z * [new tag] ciflow/trunk/168941 -> ciflow/trunk/168941 2025-12-04T08:55:29.0718238Z * [new tag] ciflow/trunk/168955 -> ciflow/trunk/168955 2025-12-04T08:55:29.0718936Z * [new tag] ciflow/trunk/168980 -> ciflow/trunk/168980 2025-12-04T08:55:29.0719980Z * [new tag] ciflow/trunk/169004 -> ciflow/trunk/169004 2025-12-04T08:55:29.0720636Z * [new tag] ciflow/trunk/169006 -> ciflow/trunk/169006 2025-12-04T08:55:29.0721410Z * [new tag] ciflow/trunk/169023 -> ciflow/trunk/169023 2025-12-04T08:55:29.0722161Z * [new tag] ciflow/trunk/169025 -> ciflow/trunk/169025 2025-12-04T08:55:29.0722918Z * [new tag] ciflow/trunk/169048 -> ciflow/trunk/169048 2025-12-04T08:55:29.0723653Z * [new tag] ciflow/trunk/169066 -> ciflow/trunk/169066 2025-12-04T08:55:29.0724502Z * [new tag] ciflow/trunk/169091 -> ciflow/trunk/169091 2025-12-04T08:55:29.0725431Z * [new tag] ciflow/trunk/169102 -> ciflow/trunk/169102 2025-12-04T08:55:29.0726058Z * [new tag] ciflow/trunk/169103 -> ciflow/trunk/169103 2025-12-04T08:55:29.0727054Z * [new tag] ciflow/trunk/169125 -> ciflow/trunk/169125 2025-12-04T08:55:29.0727869Z * [new tag] ciflow/trunk/169139 -> ciflow/trunk/169139 2025-12-04T08:55:29.0728799Z * [new tag] ciflow/trunk/169148 -> ciflow/trunk/169148 2025-12-04T08:55:29.0729473Z * [new tag] ciflow/trunk/169151 -> ciflow/trunk/169151 2025-12-04T08:55:29.0730213Z * [new tag] ciflow/trunk/169156 -> ciflow/trunk/169156 2025-12-04T08:55:29.0731210Z * [new tag] ciflow/trunk/169176 -> ciflow/trunk/169176 2025-12-04T08:55:29.0731886Z * [new tag] ciflow/trunk/169204 -> ciflow/trunk/169204 2025-12-04T08:55:29.0732777Z * [new tag] ciflow/trunk/169207 -> ciflow/trunk/169207 2025-12-04T08:55:29.0739842Z * [new tag] ciflow/trunk/169211 -> ciflow/trunk/169211 2025-12-04T08:55:29.0740162Z * [new tag] ciflow/trunk/169229 -> ciflow/trunk/169229 2025-12-04T08:55:29.0740344Z * [new tag] ciflow/trunk/169231 -> ciflow/trunk/169231 2025-12-04T08:55:29.0740529Z * [new tag] ciflow/trunk/169260 -> ciflow/trunk/169260 2025-12-04T08:55:29.0740710Z * [new tag] ciflow/trunk/169271 -> ciflow/trunk/169271 2025-12-04T08:55:29.0741011Z * [new tag] ciflow/trunk/169280 -> ciflow/trunk/169280 2025-12-04T08:55:29.0741174Z * [new tag] ciflow/trunk/169281 -> ciflow/trunk/169281 2025-12-04T08:55:29.0741354Z * [new tag] ciflow/trunk/169286 -> ciflow/trunk/169286 2025-12-04T08:55:29.0741521Z * [new tag] ciflow/trunk/169293 -> ciflow/trunk/169293 2025-12-04T08:55:29.0741692Z * [new tag] ciflow/trunk/169296 -> ciflow/trunk/169296 2025-12-04T08:55:29.0741880Z * [new tag] ciflow/trunk/169304 -> ciflow/trunk/169304 2025-12-04T08:55:29.0742559Z * [new tag] ciflow/trunk/169305 -> ciflow/trunk/169305 2025-12-04T08:55:29.0743271Z * [new tag] ciflow/trunk/169312 -> ciflow/trunk/169312 2025-12-04T08:55:29.0744617Z * [new tag] ciflow/trunk/169328 -> ciflow/trunk/169328 2025-12-04T08:55:29.0745275Z * [new tag] ciflow/trunk/169343 -> ciflow/trunk/169343 2025-12-04T08:55:29.0745958Z * [new tag] ciflow/trunk/169355 -> ciflow/trunk/169355 2025-12-04T08:55:29.0746718Z * [new tag] ciflow/trunk/169370 -> ciflow/trunk/169370 2025-12-04T08:55:29.0748102Z * [new tag] ciflow/trunk/169379 -> ciflow/trunk/169379 2025-12-04T08:55:29.0748778Z * [new tag] ciflow/trunk/169380 -> ciflow/trunk/169380 2025-12-04T08:55:29.0749803Z * [new tag] ciflow/trunk/169385 -> ciflow/trunk/169385 2025-12-04T08:55:29.0750549Z * [new tag] ciflow/trunk/169387 -> ciflow/trunk/169387 2025-12-04T08:55:29.0751563Z * [new tag] ciflow/trunk/169410 -> ciflow/trunk/169410 2025-12-04T08:55:29.0752226Z * [new tag] ciflow/trunk/169412 -> ciflow/trunk/169412 2025-12-04T08:55:29.0753141Z * [new tag] ciflow/trunk/169418 -> ciflow/trunk/169418 2025-12-04T08:55:29.0753824Z * [new tag] ciflow/trunk/169423 -> ciflow/trunk/169423 2025-12-04T08:55:29.0754616Z * [new tag] ciflow/trunk/169427 -> ciflow/trunk/169427 2025-12-04T08:55:29.0755335Z * [new tag] ciflow/trunk/169430 -> ciflow/trunk/169430 2025-12-04T08:55:29.0756091Z * [new tag] ciflow/trunk/169437 -> ciflow/trunk/169437 2025-12-04T08:55:29.0756863Z * [new tag] ciflow/trunk/169442 -> ciflow/trunk/169442 2025-12-04T08:55:29.0757619Z * [new tag] ciflow/trunk/169452 -> ciflow/trunk/169452 2025-12-04T08:55:29.0758392Z * [new tag] ciflow/trunk/169454 -> ciflow/trunk/169454 2025-12-04T08:55:29.0759131Z * [new tag] ciflow/trunk/169459 -> ciflow/trunk/169459 2025-12-04T08:55:29.0760090Z * [new tag] ciflow/trunk/169474 -> ciflow/trunk/169474 2025-12-04T08:55:29.0760859Z * [new tag] ciflow/trunk/169475 -> ciflow/trunk/169475 2025-12-04T08:55:29.0761569Z * [new tag] ciflow/trunk/169476 -> ciflow/trunk/169476 2025-12-04T08:55:29.0762577Z * [new tag] ciflow/trunk/169487 -> ciflow/trunk/169487 2025-12-04T08:55:29.0763250Z * [new tag] ciflow/trunk/169497 -> ciflow/trunk/169497 2025-12-04T08:55:29.0764200Z * [new tag] ciflow/trunk/169503 -> ciflow/trunk/169503 2025-12-04T08:55:29.0764932Z * [new tag] ciflow/trunk/169505 -> ciflow/trunk/169505 2025-12-04T08:55:29.0765691Z * [new tag] ciflow/trunk/169507 -> ciflow/trunk/169507 2025-12-04T08:55:29.0766450Z * [new tag] ciflow/trunk/169514 -> ciflow/trunk/169514 2025-12-04T08:55:29.0767345Z * [new tag] ciflow/trunk/169517 -> ciflow/trunk/169517 2025-12-04T08:55:29.0768102Z * [new tag] ciflow/trunk/169519 -> ciflow/trunk/169519 2025-12-04T08:55:29.0768753Z * [new tag] ciflow/trunk/169528 -> ciflow/trunk/169528 2025-12-04T08:55:29.0769535Z * [new tag] ciflow/trunk/169541 -> ciflow/trunk/169541 2025-12-04T08:55:29.0770614Z * [new tag] ciflow/trunk/169555 -> ciflow/trunk/169555 2025-12-04T08:55:29.0771758Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-12-04T08:55:29.0772677Z * [new tag] ciflow/vllm/165270 -> ciflow/vllm/165270 2025-12-04T08:55:29.0773302Z * [new tag] ciflow/vllm/165274 -> ciflow/vllm/165274 2025-12-04T08:55:29.0774046Z * [new tag] ciflow/vllm/166494 -> ciflow/vllm/166494 2025-12-04T08:55:29.0774752Z * [new tag] ciflow/vllm/169219 -> ciflow/vllm/169219 2025-12-04T08:55:29.0775465Z * [new tag] ciflow/vllm/169220 -> ciflow/vllm/169220 2025-12-04T08:55:29.0776444Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-12-04T08:55:29.0777075Z * [new tag] ciflow/xpu/159718 -> ciflow/xpu/159718 2025-12-04T08:55:29.0777806Z * [new tag] ciflow/xpu/161940 -> ciflow/xpu/161940 2025-12-04T08:55:29.0778704Z * [new tag] ciflow/xpu/163251 -> ciflow/xpu/163251 2025-12-04T08:55:29.0779358Z * [new tag] ciflow/xpu/166829 -> ciflow/xpu/166829 2025-12-04T08:55:29.0780090Z * [new tag] ciflow/xpu/166843 -> ciflow/xpu/166843 2025-12-04T08:55:29.0780781Z * [new tag] ciflow/xpu/167972 -> ciflow/xpu/167972 2025-12-04T08:55:29.0781511Z * [new tag] ciflow/xpu/167981 -> ciflow/xpu/167981 2025-12-04T08:55:29.0782218Z * [new tag] ciflow/xpu/168213 -> ciflow/xpu/168213 2025-12-04T08:55:29.0782949Z * [new tag] ciflow/xpu/168262 -> ciflow/xpu/168262 2025-12-04T08:55:29.0783621Z * [new tag] ciflow/xpu/168328 -> ciflow/xpu/168328 2025-12-04T08:55:29.0784721Z * [new tag] ciflow/xpu/168950 -> ciflow/xpu/168950 2025-12-04T08:55:29.0785853Z * [new tag] ciflow/xpu/169039 -> ciflow/xpu/169039 2025-12-04T08:55:29.0786795Z * [new tag] ciflow/xpu/169200 -> ciflow/xpu/169200 2025-12-04T08:55:29.0787472Z * [new tag] ciflow/xpu/169203 -> ciflow/xpu/169203 2025-12-04T08:55:29.0788214Z * [new tag] ciflow/xpu/169229 -> ciflow/xpu/169229 2025-12-04T08:55:29.0788989Z * [new tag] ciflow/xpu/169230 -> ciflow/xpu/169230 2025-12-04T08:55:29.0789748Z * [new tag] ciflow/xpu/169231 -> ciflow/xpu/169231 2025-12-04T08:55:29.0790720Z * [new tag] ciflow/xpu/169241 -> ciflow/xpu/169241 2025-12-04T08:55:29.0791430Z * [new tag] ciflow/xpu/169280 -> ciflow/xpu/169280 2025-12-04T08:55:29.0792201Z * [new tag] ciflow/xpu/169296 -> ciflow/xpu/169296 2025-12-04T08:55:29.0793157Z * [new tag] ciflow/xpu/169353 -> ciflow/xpu/169353 2025-12-04T08:55:29.0793914Z * [new tag] ciflow/xpu/169410 -> ciflow/xpu/169410 2025-12-04T08:55:29.0794680Z * [new tag] ciflow/xpu/169442 -> ciflow/xpu/169442 2025-12-04T08:55:29.0795579Z * [new tag] ciflow/xpu/169555 -> ciflow/xpu/169555 2025-12-04T08:55:29.0796471Z * [new tag] cslpull75 -> cslpull75 2025-12-04T08:55:29.0797208Z * [new tag] cslpull76 -> cslpull76 2025-12-04T08:55:29.0798089Z * [new tag] cslpull77 -> cslpull77 2025-12-04T08:55:29.0798936Z * [new tag] cslpull78 -> cslpull78 2025-12-04T08:55:29.0800041Z * [new tag] cslpull79 -> cslpull79 2025-12-04T08:55:29.0801158Z * [new tag] cslpull80 -> cslpull80 2025-12-04T08:55:29.0802010Z * [new tag] cslpull81 -> cslpull81 2025-12-04T08:55:29.0803311Z * [new tag] cslpull82 -> cslpull82 2025-12-04T08:55:29.0804262Z * [new tag] cslpull83 -> cslpull83 2025-12-04T08:55:29.0805197Z * [new tag] cslpull84 -> cslpull84 2025-12-04T08:55:29.0805945Z * [new tag] cslpull85 -> cslpull85 2025-12-04T08:55:29.0806960Z * [new tag] cslpull86 -> cslpull86 2025-12-04T08:55:29.0807847Z * [new tag] cslpull87 -> cslpull87 2025-12-04T08:55:29.0808736Z * [new tag] cslpull88 -> cslpull88 2025-12-04T08:55:29.0809588Z * [new tag] cslpull89 -> cslpull89 2025-12-04T08:55:29.0810241Z * [new tag] cslpull90 -> cslpull90 2025-12-04T08:55:29.0811534Z * [new tag] cslpull91 -> cslpull91 2025-12-04T08:55:29.0812289Z * [new tag] cslpull92 -> cslpull92 2025-12-04T08:55:29.0813291Z * [new tag] flight_5 -> flight_5 2025-12-04T08:55:29.0814337Z * [new tag] flight_5.1 -> flight_5.1 2025-12-04T08:55:29.0815339Z * [new tag] flight_5.2 -> flight_5.2 2025-12-04T08:55:29.0817816Z * [new tag] flight_5.3 -> flight_5.3 2025-12-04T08:55:29.0817984Z * [new tag] forpull1 -> forpull1 2025-12-04T08:55:29.0818237Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-12-04T08:55:29.0819255Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-12-04T08:55:29.0819800Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-12-04T08:55:29.0820686Z * [new tag] nightly-binary -> nightly-binary 2025-12-04T08:55:29.0821490Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-12-04T08:55:29.0822689Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-12-04T08:55:29.0823965Z * [new tag] trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 -> trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 2025-12-04T08:55:29.0824748Z * [new tag] trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e -> trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e 2025-12-04T08:55:29.0825987Z * [new tag] trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 -> trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 2025-12-04T08:55:29.0827009Z * [new tag] trunk/07dcc0b83db3211653a38565a24e15acdba75654 -> trunk/07dcc0b83db3211653a38565a24e15acdba75654 2025-12-04T08:55:29.0827974Z * [new tag] trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb -> trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb 2025-12-04T08:55:29.0828828Z * [new tag] trunk/088048f2fea28ff7d450f65c72419ca45780d30b -> trunk/088048f2fea28ff7d450f65c72419ca45780d30b 2025-12-04T08:55:29.0829710Z * [new tag] trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 -> trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 2025-12-04T08:55:29.0830567Z * [new tag] trunk/0b80a4c62b94402844bf221791c096b0035c6d75 -> trunk/0b80a4c62b94402844bf221791c096b0035c6d75 2025-12-04T08:55:29.0831843Z * [new tag] trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 -> trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 2025-12-04T08:55:29.0832673Z * [new tag] trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 -> trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 2025-12-04T08:55:29.0833696Z * [new tag] trunk/135f3753c418a6879b1954904184937b67e61688 -> trunk/135f3753c418a6879b1954904184937b67e61688 2025-12-04T08:55:29.0834516Z * [new tag] trunk/15da21026cb13cd20257dc9e96830db108743c10 -> trunk/15da21026cb13cd20257dc9e96830db108743c10 2025-12-04T08:55:29.0835457Z * [new tag] trunk/166efdad2ac827f30fb02504c6017520257f88ec -> trunk/166efdad2ac827f30fb02504c6017520257f88ec 2025-12-04T08:55:29.0836355Z * [new tag] trunk/174272c15fae553d8488140af931f7d8050a313f -> trunk/174272c15fae553d8488140af931f7d8050a313f 2025-12-04T08:55:29.0837490Z * [new tag] trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 -> trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 2025-12-04T08:55:29.0838372Z * [new tag] trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 -> trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 2025-12-04T08:55:29.0839218Z * [new tag] trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 -> trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 2025-12-04T08:55:29.0840104Z * [new tag] trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 -> trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 2025-12-04T08:55:29.0840975Z * [new tag] trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e -> trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e 2025-12-04T08:55:29.0841837Z * [new tag] trunk/1c87554d74140eaee964ca8b1832cede67f5f520 -> trunk/1c87554d74140eaee964ca8b1832cede67f5f520 2025-12-04T08:55:29.0842715Z * [new tag] trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 -> trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 2025-12-04T08:55:29.0843730Z * [new tag] trunk/1cee47d6ce0a02227185b566593f002dd639ca0c -> trunk/1cee47d6ce0a02227185b566593f002dd639ca0c 2025-12-04T08:55:29.0844547Z * [new tag] trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d -> trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d 2025-12-04T08:55:29.0845697Z * [new tag] trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 -> trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 2025-12-04T08:55:29.0846563Z * [new tag] trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de -> trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de 2025-12-04T08:55:29.0847444Z * [new tag] trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 -> trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 2025-12-04T08:55:29.0848341Z * [new tag] trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 -> trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 2025-12-04T08:55:29.0849337Z * [new tag] trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f -> trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f 2025-12-04T08:55:29.0850559Z * [new tag] trunk/285779b1621cf9f073a062b0889a642d200308d9 -> trunk/285779b1621cf9f073a062b0889a642d200308d9 2025-12-04T08:55:29.0851240Z * [new tag] trunk/2887faaec6295d081580d09fce161201826c6d87 -> trunk/2887faaec6295d081580d09fce161201826c6d87 2025-12-04T08:55:29.0852355Z * [new tag] trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc -> trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc 2025-12-04T08:55:29.0853151Z * [new tag] trunk/29856679769b3dede478767e2fe6cfb51197cb25 -> trunk/29856679769b3dede478767e2fe6cfb51197cb25 2025-12-04T08:55:29.0854146Z * [new tag] trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 -> trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 2025-12-04T08:55:29.0855047Z * [new tag] trunk/2ac3ef882afb23136adc188975f0a8802fc68adf -> trunk/2ac3ef882afb23136adc188975f0a8802fc68adf 2025-12-04T08:55:29.0855824Z * [new tag] trunk/2bec68e73b64715354af076ad309335f943e36cd -> trunk/2bec68e73b64715354af076ad309335f943e36cd 2025-12-04T08:55:29.0856708Z * [new tag] trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 -> trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 2025-12-04T08:55:29.0857710Z * [new tag] trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 -> trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 2025-12-04T08:55:29.0858667Z * [new tag] trunk/2df6058f116a65722a0e03073402feb242572d35 -> trunk/2df6058f116a65722a0e03073402feb242572d35 2025-12-04T08:55:29.0859572Z * [new tag] trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec -> trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec 2025-12-04T08:55:29.0860551Z * [new tag] trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 -> trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 2025-12-04T08:55:29.0861417Z * [new tag] trunk/305168768a95d69c444df5cd334bb774edfe06f1 -> trunk/305168768a95d69c444df5cd334bb774edfe06f1 2025-12-04T08:55:29.0862343Z * [new tag] trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 -> trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 2025-12-04T08:55:29.0863195Z * [new tag] trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 -> trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 2025-12-04T08:55:29.0864098Z * [new tag] trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 -> trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 2025-12-04T08:55:29.0864991Z * [new tag] trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf -> trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf 2025-12-04T08:55:29.0865877Z * [new tag] trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee -> trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee 2025-12-04T08:55:29.0866838Z * [new tag] trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 -> trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 2025-12-04T08:55:29.0867588Z * [new tag] trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 -> trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 2025-12-04T08:55:29.0868483Z * [new tag] trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae -> trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae 2025-12-04T08:55:29.0869867Z * [new tag] trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f -> trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f 2025-12-04T08:55:29.0870701Z * [new tag] trunk/42e9005cda22da3f1c559c3649218cebd671027c -> trunk/42e9005cda22da3f1c559c3649218cebd671027c 2025-12-04T08:55:29.0871606Z * [new tag] trunk/43b94713bbf340d3c124fde02d0f73add4021247 -> trunk/43b94713bbf340d3c124fde02d0f73add4021247 2025-12-04T08:55:29.0872550Z * [new tag] trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c -> trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c 2025-12-04T08:55:29.0873470Z * [new tag] trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a -> trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a 2025-12-04T08:55:29.0874254Z * [new tag] trunk/45d310ad84854dff730c0b12e577d7998d978686 -> trunk/45d310ad84854dff730c0b12e577d7998d978686 2025-12-04T08:55:29.0875529Z * [new tag] trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 -> trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 2025-12-04T08:55:29.0876219Z * [new tag] trunk/481e5ab336275bd3acd5fa8a611b05b4469012af -> trunk/481e5ab336275bd3acd5fa8a611b05b4469012af 2025-12-04T08:55:29.0877205Z * [new tag] trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 -> trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 2025-12-04T08:55:29.0878097Z * [new tag] trunk/49a04d26088acc17d948ddd66920f3e16371e873 -> trunk/49a04d26088acc17d948ddd66920f3e16371e873 2025-12-04T08:55:29.0879023Z * [new tag] trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 -> trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 2025-12-04T08:55:29.0879776Z * [new tag] trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f -> trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f 2025-12-04T08:55:29.0880938Z * [new tag] trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa -> trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa 2025-12-04T08:55:29.0881871Z * [new tag] trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c -> trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c 2025-12-04T08:55:29.0883410Z * [new tag] trunk/4fefb8e7e942386ffac764a41b232241f82bea3a -> trunk/4fefb8e7e942386ffac764a41b232241f82bea3a 2025-12-04T08:55:29.0884276Z * [new tag] trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d -> trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d 2025-12-04T08:55:29.0885262Z * [new tag] trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 -> trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 2025-12-04T08:55:29.0886202Z * [new tag] trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 -> trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 2025-12-04T08:55:29.0887146Z * [new tag] trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a -> trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a 2025-12-04T08:55:29.0888121Z * [new tag] trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 -> trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 2025-12-04T08:55:29.0889038Z * [new tag] trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 -> trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 2025-12-04T08:55:29.0889978Z * [new tag] trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 -> trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 2025-12-04T08:55:29.0890906Z * [new tag] trunk/5634469fda9e5d98869c82c7d03bb08914245f96 -> trunk/5634469fda9e5d98869c82c7d03bb08914245f96 2025-12-04T08:55:29.0891703Z * [new tag] trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc -> trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc 2025-12-04T08:55:29.0892694Z * [new tag] trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 -> trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 2025-12-04T08:55:29.0893576Z * [new tag] trunk/597930f6b568852356ca9795dac76f9e4653adbd -> trunk/597930f6b568852356ca9795dac76f9e4653adbd 2025-12-04T08:55:29.0894370Z * [new tag] trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 -> trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 2025-12-04T08:55:29.0895574Z * [new tag] trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 -> trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 2025-12-04T08:55:29.0896420Z * [new tag] trunk/5a607febc04c3a2b5824c75f3f60307867439a2c -> trunk/5a607febc04c3a2b5824c75f3f60307867439a2c 2025-12-04T08:55:29.0897355Z * [new tag] trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b -> trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b 2025-12-04T08:55:29.0898111Z * [new tag] trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c -> trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c 2025-12-04T08:55:29.0899004Z * [new tag] trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 -> trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 2025-12-04T08:55:29.0900371Z * [new tag] trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 -> trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 2025-12-04T08:55:29.0901311Z * [new tag] trunk/61be54a31dc09b59d99b62176fb935aee0b924ef -> trunk/61be54a31dc09b59d99b62176fb935aee0b924ef 2025-12-04T08:55:29.0902213Z * [new tag] trunk/62d3ccd71484ed6a760d909b41487101bbc65719 -> trunk/62d3ccd71484ed6a760d909b41487101bbc65719 2025-12-04T08:55:29.0903158Z * [new tag] trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b -> trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b 2025-12-04T08:55:29.0904080Z * [new tag] trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a -> trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a 2025-12-04T08:55:29.0905027Z * [new tag] trunk/66004b993744b4106bf8afaba71f3c228a804206 -> trunk/66004b993744b4106bf8afaba71f3c228a804206 2025-12-04T08:55:29.0905934Z * [new tag] trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 -> trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 2025-12-04T08:55:29.0906853Z * [new tag] trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 -> trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 2025-12-04T08:55:29.0907800Z * [new tag] trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d -> trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d 2025-12-04T08:55:29.0908628Z * [new tag] trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b -> trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b 2025-12-04T08:55:29.0909559Z * [new tag] trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 -> trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 2025-12-04T08:55:29.0910490Z * [new tag] trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 -> trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 2025-12-04T08:55:29.0911474Z * [new tag] trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec -> trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec 2025-12-04T08:55:29.0912472Z * [new tag] trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 -> trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 2025-12-04T08:55:29.0913427Z * [new tag] trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d -> trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d 2025-12-04T08:55:29.0914326Z * [new tag] trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a -> trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a 2025-12-04T08:55:29.0915302Z * [new tag] trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e -> trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e 2025-12-04T08:55:29.0916217Z * [new tag] trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 -> trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 2025-12-04T08:55:29.0917090Z * [new tag] trunk/70d797a5fc109b20a517646fcaa819477cd0d485 -> trunk/70d797a5fc109b20a517646fcaa819477cd0d485 2025-12-04T08:55:29.0918011Z * [new tag] trunk/7348cb355ff0a6f79cd4871215aea72185748734 -> trunk/7348cb355ff0a6f79cd4871215aea72185748734 2025-12-04T08:55:29.0918925Z * [new tag] trunk/74fe26a1ebe32931783569f2e762e3c2c974901f -> trunk/74fe26a1ebe32931783569f2e762e3c2c974901f 2025-12-04T08:55:29.0919883Z * [new tag] trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 -> trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 2025-12-04T08:55:29.0920819Z * [new tag] trunk/7741edd4ed665f3988052e260863efb508d61a03 -> trunk/7741edd4ed665f3988052e260863efb508d61a03 2025-12-04T08:55:29.0921824Z * [new tag] trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 -> trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 2025-12-04T08:55:29.0922736Z * [new tag] trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 -> trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 2025-12-04T08:55:29.0923507Z * [new tag] trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 -> trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 2025-12-04T08:55:29.0924557Z * [new tag] trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca -> trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca 2025-12-04T08:55:29.0925652Z * [new tag] trunk/7b7af390ea8541c611d1ce2018a6934188fc197b -> trunk/7b7af390ea8541c611d1ce2018a6934188fc197b 2025-12-04T08:55:29.0926513Z * [new tag] trunk/7ba4680f3755a560af81aa0f688791e367aa3609 -> trunk/7ba4680f3755a560af81aa0f688791e367aa3609 2025-12-04T08:55:29.0927489Z * [new tag] trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b -> trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b 2025-12-04T08:55:29.0928255Z * [new tag] trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 2025-12-04T08:55:29.0929098Z * [new tag] trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 -> trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 2025-12-04T08:55:29.0930551Z * [new tag] trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed -> trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed 2025-12-04T08:55:29.0931401Z * [new tag] trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 -> trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 2025-12-04T08:55:29.0932378Z * [new tag] trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e -> trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e 2025-12-04T08:55:29.0933096Z * [new tag] trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead -> trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead 2025-12-04T08:55:29.0934001Z * [new tag] trunk/81af382128efa094d8702e18f2c133760904c718 -> trunk/81af382128efa094d8702e18f2c133760904c718 2025-12-04T08:55:29.0935261Z * [new tag] trunk/84149583d483e9c973c9a0feda70e4f3964947b0 -> trunk/84149583d483e9c973c9a0feda70e4f3964947b0 2025-12-04T08:55:29.0936432Z * [new tag] trunk/85a315917efe82c24306be805c584ec044951c75 -> trunk/85a315917efe82c24306be805c584ec044951c75 2025-12-04T08:55:29.0937277Z * [new tag] trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece -> trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece 2025-12-04T08:55:29.0938043Z * [new tag] trunk/892640e25aeefa8007c5af837214b4502b6b62a6 -> trunk/892640e25aeefa8007c5af837214b4502b6b62a6 2025-12-04T08:55:29.0939329Z * [new tag] trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 -> trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 2025-12-04T08:55:29.0940132Z * [new tag] trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c -> trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c 2025-12-04T08:55:29.0941044Z * [new tag] trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 -> trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 2025-12-04T08:55:29.0942137Z * [new tag] trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 -> trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 2025-12-04T08:55:29.0943055Z * [new tag] trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca -> trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca 2025-12-04T08:55:29.0944035Z * [new tag] trunk/90b27e7e8352cde97d32ddad24740ef819633f38 -> trunk/90b27e7e8352cde97d32ddad24740ef819633f38 2025-12-04T08:55:29.0944810Z * [new tag] trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 -> trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 2025-12-04T08:55:29.0945641Z * [new tag] trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c -> trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c 2025-12-04T08:55:29.0946544Z * [new tag] trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 -> trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 2025-12-04T08:55:29.0947551Z * [new tag] trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 -> trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 2025-12-04T08:55:29.0948502Z * [new tag] trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa -> trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa 2025-12-04T08:55:29.0949520Z * [new tag] trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d -> trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d 2025-12-04T08:55:29.0952760Z * [new tag] trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 -> trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 2025-12-04T08:55:29.0953705Z * [new tag] trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 -> trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 2025-12-04T08:55:29.0954626Z * [new tag] trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d -> trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d 2025-12-04T08:55:29.0955524Z * [new tag] trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a -> trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a 2025-12-04T08:55:29.0956527Z * [new tag] trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 -> trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 2025-12-04T08:55:29.0957482Z * [new tag] trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 -> trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 2025-12-04T08:55:29.0958447Z * [new tag] trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa -> trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa 2025-12-04T08:55:29.0959343Z * [new tag] trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d -> trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d 2025-12-04T08:55:29.0960591Z * [new tag] trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c -> trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c 2025-12-04T08:55:29.0961355Z * [new tag] trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 -> trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 2025-12-04T08:55:29.0962302Z * [new tag] trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c -> trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c 2025-12-04T08:55:29.0963100Z * [new tag] trunk/a7dc6dab9ad911259d4801c502907e531594db45 -> trunk/a7dc6dab9ad911259d4801c502907e531594db45 2025-12-04T08:55:29.0964142Z * [new tag] trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 -> trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 2025-12-04T08:55:29.0965262Z * [new tag] trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e -> trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e 2025-12-04T08:55:29.0966136Z * [new tag] trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e -> trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e 2025-12-04T08:55:29.0966930Z * [new tag] trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e -> trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e 2025-12-04T08:55:29.0967691Z * [new tag] trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 -> trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 2025-12-04T08:55:29.0968626Z * [new tag] trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 -> trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 2025-12-04T08:55:29.0969600Z * [new tag] trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 -> trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 2025-12-04T08:55:29.0970509Z * [new tag] trunk/b39813b4a04931682b0491adba2138d01d716d99 -> trunk/b39813b4a04931682b0491adba2138d01d716d99 2025-12-04T08:55:29.0971464Z * [new tag] trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 -> trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 2025-12-04T08:55:29.0972445Z * [new tag] trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 -> trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 2025-12-04T08:55:29.0973409Z * [new tag] trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a -> trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a 2025-12-04T08:55:29.0974333Z * [new tag] trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 -> trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 2025-12-04T08:55:29.0975483Z * [new tag] trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 -> trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 2025-12-04T08:55:29.0976400Z * [new tag] trunk/b7d60685f8cbc939b68a20871e90db67e729329b -> trunk/b7d60685f8cbc939b68a20871e90db67e729329b 2025-12-04T08:55:29.0977347Z * [new tag] trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e -> trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e 2025-12-04T08:55:29.0978281Z * [new tag] trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf -> trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf 2025-12-04T08:55:29.0979188Z * [new tag] trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 -> trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 2025-12-04T08:55:29.0980297Z * [new tag] trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f -> trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f 2025-12-04T08:55:29.0981181Z * [new tag] trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f -> trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f 2025-12-04T08:55:29.0982090Z * [new tag] trunk/bb3034198b459401fabeab254e1b99f0115046e2 -> trunk/bb3034198b459401fabeab254e1b99f0115046e2 2025-12-04T08:55:29.0982987Z * [new tag] trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 -> trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 2025-12-04T08:55:29.0984101Z * [new tag] trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 -> trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 2025-12-04T08:55:29.0985034Z * [new tag] trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 -> trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 2025-12-04T08:55:29.0985905Z * [new tag] trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 -> trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 2025-12-04T08:55:29.0987169Z * [new tag] trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 -> trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 2025-12-04T08:55:29.0988071Z * [new tag] trunk/c0660bcee27e7d7731634e274576a7081882bede -> trunk/c0660bcee27e7d7731634e274576a7081882bede 2025-12-04T08:55:29.0989260Z * [new tag] trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac -> trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac 2025-12-04T08:55:29.0990098Z * [new tag] trunk/c55b1e8f61d041ee436d697449eb028931d574fb -> trunk/c55b1e8f61d041ee436d697449eb028931d574fb 2025-12-04T08:55:29.0990977Z * [new tag] trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 -> trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 2025-12-04T08:55:29.0992191Z * [new tag] trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 -> trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 2025-12-04T08:55:29.0993144Z * [new tag] trunk/cc0853af42122f8185321f542616f4474e717f09 -> trunk/cc0853af42122f8185321f542616f4474e717f09 2025-12-04T08:55:29.0994460Z * [new tag] trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 -> trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 2025-12-04T08:55:29.0995361Z * [new tag] trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a -> trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a 2025-12-04T08:55:29.0996335Z * [new tag] trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace -> trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace 2025-12-04T08:55:29.0997198Z * [new tag] trunk/d16447dacaf2420ea175f0c275c75da951f57d39 -> trunk/d16447dacaf2420ea175f0c275c75da951f57d39 2025-12-04T08:55:29.0998181Z * [new tag] trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 -> trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 2025-12-04T08:55:29.0999126Z * [new tag] trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 -> trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 2025-12-04T08:55:29.1000108Z * [new tag] trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf -> trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf 2025-12-04T08:55:29.1001034Z * [new tag] trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 -> trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 2025-12-04T08:55:29.1001903Z * [new tag] trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d -> trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d 2025-12-04T08:55:29.1002896Z * [new tag] trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 -> trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 2025-12-04T08:55:29.1003800Z * [new tag] trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 -> trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 2025-12-04T08:55:29.1004871Z * [new tag] trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e -> trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e 2025-12-04T08:55:29.1005803Z * [new tag] trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a -> trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a 2025-12-04T08:55:29.1006931Z * [new tag] trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b -> trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b 2025-12-04T08:55:29.1007849Z * [new tag] trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec -> trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec 2025-12-04T08:55:29.1008782Z * [new tag] trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf -> trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf 2025-12-04T08:55:29.1009659Z * [new tag] trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd -> trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd 2025-12-04T08:55:29.1010637Z * [new tag] trunk/dd18a75336a4fbd7497955cc5665904724fce889 -> trunk/dd18a75336a4fbd7497955cc5665904724fce889 2025-12-04T08:55:29.1011625Z * [new tag] trunk/ded9bcd61a059bf723e6e84689552962b480ea77 -> trunk/ded9bcd61a059bf723e6e84689552962b480ea77 2025-12-04T08:55:29.1012885Z * [new tag] trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c -> trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c 2025-12-04T08:55:29.1013843Z * [new tag] trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b -> trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b 2025-12-04T08:55:29.1014636Z * [new tag] trunk/e3f24fd73ad74c6e7176687986436956c7c18235 -> trunk/e3f24fd73ad74c6e7176687986436956c7c18235 2025-12-04T08:55:29.1015646Z * [new tag] trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e -> trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e 2025-12-04T08:55:29.1016625Z * [new tag] trunk/ea7035f462a0d2830865ee86c832bd101e1427fc -> trunk/ea7035f462a0d2830865ee86c832bd101e1427fc 2025-12-04T08:55:29.1017749Z * [new tag] trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf -> trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf 2025-12-04T08:55:29.1018523Z * [new tag] trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e -> trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e 2025-12-04T08:55:29.1019521Z * [new tag] trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e -> trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e 2025-12-04T08:55:29.1020934Z * [new tag] trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 -> trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 2025-12-04T08:55:29.1021795Z * [new tag] trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 -> trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 2025-12-04T08:55:29.1022747Z * [new tag] trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 -> trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 2025-12-04T08:55:29.1023669Z * [new tag] trunk/f1076f5510920044912247b1abb8760cb820f598 -> trunk/f1076f5510920044912247b1abb8760cb820f598 2025-12-04T08:55:29.1024620Z * [new tag] trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 -> trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 2025-12-04T08:55:29.1025557Z * [new tag] trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 -> trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 2025-12-04T08:55:29.1026542Z * [new tag] trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 -> trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 2025-12-04T08:55:29.1027385Z * [new tag] trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 -> trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 2025-12-04T08:55:29.1028314Z * [new tag] trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 -> trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 2025-12-04T08:55:29.1029233Z * [new tag] trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 -> trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 2025-12-04T08:55:29.1030058Z * [new tag] trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 -> trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 2025-12-04T08:55:29.1031059Z * [new tag] trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b -> trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b 2025-12-04T08:55:29.1032026Z * [new tag] trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 -> trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 2025-12-04T08:55:29.1033506Z * [new tag] trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 -> trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 2025-12-04T08:55:29.1034370Z * [new tag] trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 -> trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 2025-12-04T08:55:29.1035491Z * [new tag] trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 -> trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:55:29.1036097Z * [new tag] v0.1.1 -> v0.1.1 2025-12-04T08:55:29.1037024Z * [new tag] v0.1.10 -> v0.1.10 2025-12-04T08:55:29.1038035Z * [new tag] v0.1.11 -> v0.1.11 2025-12-04T08:55:29.1038759Z * [new tag] v0.1.12 -> v0.1.12 2025-12-04T08:55:29.1039752Z * [new tag] v0.1.2 -> v0.1.2 2025-12-04T08:55:29.1040497Z * [new tag] v0.1.3 -> v0.1.3 2025-12-04T08:55:29.1041411Z * [new tag] v0.1.4 -> v0.1.4 2025-12-04T08:55:29.1042241Z * [new tag] v0.1.5 -> v0.1.5 2025-12-04T08:55:29.1043119Z * [new tag] v0.1.6 -> v0.1.6 2025-12-04T08:55:29.1043856Z * [new tag] v0.1.7 -> v0.1.7 2025-12-04T08:55:29.1044836Z * [new tag] v0.1.8 -> v0.1.8 2025-12-04T08:55:29.1045588Z * [new tag] v0.1.9 -> v0.1.9 2025-12-04T08:55:29.1046743Z * [new tag] v0.2.0 -> v0.2.0 2025-12-04T08:55:29.1047885Z * [new tag] v0.3.0 -> v0.3.0 2025-12-04T08:55:29.1048817Z * [new tag] v0.3.1 -> v0.3.1 2025-12-04T08:55:29.1049815Z * [new tag] v0.4.0 -> v0.4.0 2025-12-04T08:55:29.1050661Z * [new tag] v0.4.1 -> v0.4.1 2025-12-04T08:55:29.1051414Z * [new tag] v1.0.0 -> v1.0.0 2025-12-04T08:55:29.1052402Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-12-04T08:55:29.1053175Z * [new tag] v1.0.1 -> v1.0.1 2025-12-04T08:55:29.1054158Z * [new tag] v1.0rc0 -> v1.0rc0 2025-12-04T08:55:29.1054807Z * [new tag] v1.0rc1 -> v1.0rc1 2025-12-04T08:55:29.1055749Z * [new tag] v1.1.0 -> v1.1.0 2025-12-04T08:55:29.1056680Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-12-04T08:55:29.1057715Z * [new tag] v1.10.0 -> v1.10.0 2025-12-04T08:55:29.1058693Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-12-04T08:55:29.1059565Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-12-04T08:55:29.1060169Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-12-04T08:55:29.1061181Z * [new tag] v1.10.1 -> v1.10.1 2025-12-04T08:55:29.1061946Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-12-04T08:55:29.1062535Z * [new tag] v1.10.2 -> v1.10.2 2025-12-04T08:55:29.1063246Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-12-04T08:55:29.1064208Z * [new tag] v1.11.0 -> v1.11.0 2025-12-04T08:55:29.1065217Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-12-04T08:55:29.1066298Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-12-04T08:55:29.1067225Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-12-04T08:55:29.1068188Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-12-04T08:55:29.1069112Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-12-04T08:55:29.1069743Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-12-04T08:55:29.1070431Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-12-04T08:55:29.1071426Z * [new tag] v1.12.0 -> v1.12.0 2025-12-04T08:55:29.1072305Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-12-04T08:55:29.1073205Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-12-04T08:55:29.1074153Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-12-04T08:55:29.1075234Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-12-04T08:55:29.1076372Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-12-04T08:55:29.1077469Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-12-04T08:55:29.1078116Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-12-04T08:55:29.1078838Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-12-04T08:55:29.1079582Z * [new tag] v1.12.1 -> v1.12.1 2025-12-04T08:55:29.1080644Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-12-04T08:55:29.1081553Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-12-04T08:55:29.1082524Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-12-04T08:55:29.1083505Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-12-04T08:55:29.1084266Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-12-04T08:55:29.1085314Z * [new tag] v1.13.0 -> v1.13.0 2025-12-04T08:55:29.1086172Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-12-04T08:55:29.1087042Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-12-04T08:55:29.1087898Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-12-04T08:55:29.1088985Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-12-04T08:55:29.1089559Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-12-04T08:55:29.1090308Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-12-04T08:55:29.1091336Z * [new tag] v1.13.1 -> v1.13.1 2025-12-04T08:55:29.1091995Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-12-04T08:55:29.1092926Z * [new tag] v1.2.0 -> v1.2.0 2025-12-04T08:55:29.1093824Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-12-04T08:55:29.1094769Z * [new tag] v1.3.0 -> v1.3.0 2025-12-04T08:55:29.1095673Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-12-04T08:55:29.1096310Z * [new tag] v1.3.1 -> v1.3.1 2025-12-04T08:55:29.1097259Z * [new tag] v1.4.0 -> v1.4.0 2025-12-04T08:55:29.1098178Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-12-04T08:55:29.1098784Z * [new tag] v1.4.1 -> v1.4.1 2025-12-04T08:55:29.1099837Z * [new tag] v1.5.0 -> v1.5.0 2025-12-04T08:55:29.1100739Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-12-04T08:55:29.1101692Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-12-04T08:55:29.1102639Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-12-04T08:55:29.1103384Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-12-04T08:55:29.1104106Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-12-04T08:55:29.1105111Z * [new tag] v1.5.1 -> v1.5.1 2025-12-04T08:55:29.1105759Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-12-04T08:55:29.1106478Z * [new tag] v1.6.0 -> v1.6.0 2025-12-04T08:55:29.1107521Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-12-04T08:55:29.1108482Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-12-04T08:55:29.1109382Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-12-04T08:55:29.1110277Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-12-04T08:55:29.1111264Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-12-04T08:55:29.1111950Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-12-04T08:55:29.1112667Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-12-04T08:55:29.1113670Z * [new tag] v1.7.0 -> v1.7.0 2025-12-04T08:55:29.1114615Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-12-04T08:55:29.1115578Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-12-04T08:55:29.1116529Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-12-04T08:55:29.1117123Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-12-04T08:55:29.1118156Z * [new tag] v1.7.1 -> v1.7.1 2025-12-04T08:55:29.1119189Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-12-04T08:55:29.1120129Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-12-04T08:55:29.1120784Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-12-04T08:55:29.1121830Z * [new tag] v1.8.0 -> v1.8.0 2025-12-04T08:55:29.1122575Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-12-04T08:55:29.1123586Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-12-04T08:55:29.1124570Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-12-04T08:55:29.1125490Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-12-04T08:55:29.1126155Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-12-04T08:55:29.1126815Z * [new tag] v1.8.1 -> v1.8.1 2025-12-04T08:55:29.1127899Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-12-04T08:55:29.1128484Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-12-04T08:55:29.1129327Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-12-04T08:55:29.1130727Z * [new tag] v1.8.2 -> v1.8.2 2025-12-04T08:55:29.1131348Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-12-04T08:55:29.1132839Z * [new tag] v1.9.0 -> v1.9.0 2025-12-04T08:55:29.1133778Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-12-04T08:55:29.1134749Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-12-04T08:55:29.1135677Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-12-04T08:55:29.1136307Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-12-04T08:55:29.1137309Z * [new tag] v1.9.1 -> v1.9.1 2025-12-04T08:55:29.1138377Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-12-04T08:55:29.1139035Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-12-04T08:55:29.1140070Z * [new tag] v2.0.0 -> v2.0.0 2025-12-04T08:55:29.1140833Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-12-04T08:55:29.1141864Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-12-04T08:55:29.1142836Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-12-04T08:55:29.1143733Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-12-04T08:55:29.1144657Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-12-04T08:55:29.1145285Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-12-04T08:55:29.1146294Z * [new tag] v2.0.1 -> v2.0.1 2025-12-04T08:55:29.1147246Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-12-04T08:55:29.1147954Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-12-04T08:55:29.1148806Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-12-04T08:55:29.1149564Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-12-04T08:55:29.1151079Z * [new tag] v2.1.0 -> v2.1.0 2025-12-04T08:55:29.1152093Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-12-04T08:55:29.1153053Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-12-04T08:55:29.1154004Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-12-04T08:55:29.1154949Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-12-04T08:55:29.1155904Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-12-04T08:55:29.1156556Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-12-04T08:55:29.1157554Z * [new tag] v2.1.1 -> v2.1.1 2025-12-04T08:55:29.1158562Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-12-04T08:55:29.1159544Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-12-04T08:55:29.1160581Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-12-04T08:55:29.1161516Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-12-04T08:55:29.1162388Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-12-04T08:55:29.1163008Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-12-04T08:55:29.1164014Z * [new tag] v2.1.2 -> v2.1.2 2025-12-04T08:55:29.1165081Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-12-04T08:55:29.1166060Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-12-04T08:55:29.1166654Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-12-04T08:55:29.1167716Z * [new tag] v2.2.0 -> v2.2.0 2025-12-04T08:55:29.1168601Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-12-04T08:55:29.1169468Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-12-04T08:55:29.1170397Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-12-04T08:55:29.1171321Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-12-04T08:55:29.1172249Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-12-04T08:55:29.1173127Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-12-04T08:55:29.1173734Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-12-04T08:55:29.1174469Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-12-04T08:55:29.1175511Z * [new tag] v2.2.1 -> v2.2.1 2025-12-04T08:55:29.1176484Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-12-04T08:55:29.1177124Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-12-04T08:55:29.1177770Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-12-04T08:55:29.1178489Z * [new tag] v2.2.2 -> v2.2.2 2025-12-04T08:55:29.1179608Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-12-04T08:55:29.1180335Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-12-04T08:55:29.1181340Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-12-04T08:55:29.1182379Z * [new tag] v2.3.0 -> v2.3.0 2025-12-04T08:55:29.1183295Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-12-04T08:55:29.1184265Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-12-04T08:55:29.1185250Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-12-04T08:55:29.1185933Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-12-04T08:55:29.1186885Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-12-04T08:55:29.1187865Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-12-04T08:55:29.1188750Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-12-04T08:55:29.1189659Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-12-04T08:55:29.1190769Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-12-04T08:55:29.1191740Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-12-04T08:55:29.1192631Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-12-04T08:55:29.1193299Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-12-04T08:55:29.1194021Z * [new tag] v2.3.1 -> v2.3.1 2025-12-04T08:55:29.1195072Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-12-04T08:55:29.1196031Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-12-04T08:55:29.1196961Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-12-04T08:55:29.1197889Z * [new tag] v2.4.0 -> v2.4.0 2025-12-04T08:55:29.1198839Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-12-04T08:55:29.1199744Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-12-04T08:55:29.1200695Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-12-04T08:55:29.1201597Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-12-04T08:55:29.1202595Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-12-04T08:55:29.1203505Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-12-04T08:55:29.1204564Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-12-04T08:55:29.1205554Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-12-04T08:55:29.1206580Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-12-04T08:55:29.1207229Z * [new tag] v2.4.1 -> v2.4.1 2025-12-04T08:55:29.1208304Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-12-04T08:55:29.1209266Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-12-04T08:55:29.1210331Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-12-04T08:55:29.1211254Z * [new tag] v2.5.0 -> v2.5.0 2025-12-04T08:55:29.1212207Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-12-04T08:55:29.1212842Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-12-04T08:55:29.1213860Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-12-04T08:55:29.1214748Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-12-04T08:55:29.1215730Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-12-04T08:55:29.1216658Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-12-04T08:55:29.1217636Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-12-04T08:55:29.1218614Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-12-04T08:55:29.1219520Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-12-04T08:55:29.1220488Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-12-04T08:55:29.1221117Z * [new tag] v2.5.1 -> v2.5.1 2025-12-04T08:55:29.1221823Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-12-04T08:55:29.1222554Z * [new tag] v2.6.0 -> v2.6.0 2025-12-04T08:55:29.1223695Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-12-04T08:55:29.1224662Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-12-04T08:55:29.1225584Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-12-04T08:55:29.1226480Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-12-04T08:55:29.1227619Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-12-04T08:55:29.1228737Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-12-04T08:55:29.1229670Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-12-04T08:55:29.1230665Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-12-04T08:55:29.1231597Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-12-04T08:55:29.1232735Z * [new tag] v2.7.0 -> v2.7.0 2025-12-04T08:55:29.1233700Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-12-04T08:55:29.1234368Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-12-04T08:55:29.1235472Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-12-04T08:55:29.1236484Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-12-04T08:55:29.1237435Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-12-04T08:55:29.1238322Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-12-04T08:55:29.1239147Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-12-04T08:55:29.1240300Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-12-04T08:55:29.1241296Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-12-04T08:55:29.1242268Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-12-04T08:55:29.1242910Z * [new tag] v2.7.1 -> v2.7.1 2025-12-04T08:55:29.1244021Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-12-04T08:55:29.1245135Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-12-04T08:55:29.1246172Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-12-04T08:55:29.1247120Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-12-04T08:55:29.1248069Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-12-04T08:55:29.1248722Z * [new tag] v2.8.0 -> v2.8.0 2025-12-04T08:55:29.1251767Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-12-04T08:55:29.1253174Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-12-04T08:55:29.1254191Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-12-04T08:55:29.1255285Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-12-04T08:55:29.1256268Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-12-04T08:55:29.1257265Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-12-04T08:55:29.1258195Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-12-04T08:55:29.1259109Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-12-04T08:55:29.1260155Z * [new tag] v2.9.0 -> v2.9.0 2025-12-04T08:55:29.1261085Z * [new tag] v2.9.0-rc1 -> v2.9.0-rc1 2025-12-04T08:55:29.1262093Z * [new tag] v2.9.0-rc10 -> v2.9.0-rc10 2025-12-04T08:55:29.1263046Z * [new tag] v2.9.0-rc11 -> v2.9.0-rc11 2025-12-04T08:55:29.1264256Z * [new tag] v2.9.0-rc2 -> v2.9.0-rc2 2025-12-04T08:55:29.1265259Z * [new tag] v2.9.0-rc3 -> v2.9.0-rc3 2025-12-04T08:55:29.1266313Z * [new tag] v2.9.0-rc4 -> v2.9.0-rc4 2025-12-04T08:55:29.1267226Z * [new tag] v2.9.0-rc5 -> v2.9.0-rc5 2025-12-04T08:55:29.1268405Z * [new tag] v2.9.0-rc6 -> v2.9.0-rc6 2025-12-04T08:55:29.1269343Z * [new tag] v2.9.0-rc7 -> v2.9.0-rc7 2025-12-04T08:55:29.1270464Z * [new tag] v2.9.0-rc8 -> v2.9.0-rc8 2025-12-04T08:55:29.1271120Z * [new tag] v2.9.0-rc9 -> v2.9.0-rc9 2025-12-04T08:55:29.1271871Z * [new tag] v2.9.1 -> v2.9.1 2025-12-04T08:55:29.1272930Z * [new tag] v2.9.1-rc1 -> v2.9.1-rc1 2025-12-04T08:55:29.1274019Z * [new tag] v2.9.1-rc2 -> v2.9.1-rc2 2025-12-04T08:55:29.1275329Z * [new tag] viable/strict/1759343184 -> viable/strict/1759343184 2025-12-04T08:55:29.1276647Z * [new tag] viable/strict/1759346540 -> viable/strict/1759346540 2025-12-04T08:55:29.1277624Z * [new tag] viable/strict/1759348181 -> viable/strict/1759348181 2025-12-04T08:55:29.1278509Z * [new tag] viable/strict/1759350324 -> viable/strict/1759350324 2025-12-04T08:55:29.1279296Z * [new tag] viable/strict/1759351793 -> viable/strict/1759351793 2025-12-04T08:55:29.1280238Z * [new tag] viable/strict/1759353844 -> viable/strict/1759353844 2025-12-04T08:55:29.1281071Z * [new tag] viable/strict/1759355374 -> viable/strict/1759355374 2025-12-04T08:55:29.1281983Z * [new tag] viable/strict/1759357472 -> viable/strict/1759357472 2025-12-04T08:55:29.1282791Z * [new tag] viable/strict/1759361002 -> viable/strict/1759361002 2025-12-04T08:55:29.1284016Z * [new tag] viable/strict/1759362585 -> viable/strict/1759362585 2025-12-04T08:55:29.1285265Z * [new tag] viable/strict/1759365359 -> viable/strict/1759365359 2025-12-04T08:55:29.1286224Z * [new tag] viable/strict/1759370089 -> viable/strict/1759370089 2025-12-04T08:55:29.1287165Z * [new tag] viable/strict/1759377554 -> viable/strict/1759377554 2025-12-04T08:55:29.1288055Z * [new tag] viable/strict/1759379133 -> viable/strict/1759379133 2025-12-04T08:55:29.1288936Z * [new tag] viable/strict/1759389871 -> viable/strict/1759389871 2025-12-04T08:55:29.1289886Z * [new tag] viable/strict/1759393562 -> viable/strict/1759393562 2025-12-04T08:55:29.1290913Z * [new tag] viable/strict/1759395076 -> viable/strict/1759395076 2025-12-04T08:55:29.1291821Z * [new tag] viable/strict/1759398579 -> viable/strict/1759398579 2025-12-04T08:55:29.1292748Z * [new tag] viable/strict/1759404142 -> viable/strict/1759404142 2025-12-04T08:55:29.1293540Z * [new tag] viable/strict/1759405773 -> viable/strict/1759405773 2025-12-04T08:55:29.1294551Z * [new tag] viable/strict/1759408041 -> viable/strict/1759408041 2025-12-04T08:55:29.1295450Z * [new tag] viable/strict/1759411593 -> viable/strict/1759411593 2025-12-04T08:55:29.1296246Z * [new tag] viable/strict/1759427395 -> viable/strict/1759427395 2025-12-04T08:55:29.1297252Z * [new tag] viable/strict/1759434582 -> viable/strict/1759434582 2025-12-04T08:55:29.1298177Z * [new tag] viable/strict/1759436720 -> viable/strict/1759436720 2025-12-04T08:55:29.1298988Z * [new tag] viable/strict/1759440219 -> viable/strict/1759440219 2025-12-04T08:55:29.1299957Z * [new tag] viable/strict/1759441948 -> viable/strict/1759441948 2025-12-04T08:55:29.1300919Z * [new tag] viable/strict/1759443860 -> viable/strict/1759443860 2025-12-04T08:55:29.1301781Z * [new tag] viable/strict/1759445377 -> viable/strict/1759445377 2025-12-04T08:55:29.1302844Z * [new tag] viable/strict/1759447415 -> viable/strict/1759447415 2025-12-04T08:55:29.1303647Z * [new tag] viable/strict/1759451750 -> viable/strict/1759451750 2025-12-04T08:55:29.1304632Z * [new tag] viable/strict/1759453910 -> viable/strict/1759453910 2025-12-04T08:55:29.1305660Z * [new tag] viable/strict/1759456483 -> viable/strict/1759456483 2025-12-04T08:55:29.1306604Z * [new tag] viable/strict/1759459279 -> viable/strict/1759459279 2025-12-04T08:55:29.1307529Z * [new tag] viable/strict/1759460742 -> viable/strict/1759460742 2025-12-04T08:55:29.1308428Z * [new tag] viable/strict/1759462025 -> viable/strict/1759462025 2025-12-04T08:55:29.1309374Z * [new tag] viable/strict/1759469086 -> viable/strict/1759469086 2025-12-04T08:55:29.1310344Z * [new tag] viable/strict/1759470581 -> viable/strict/1759470581 2025-12-04T08:55:29.1311097Z * [new tag] viable/strict/1759472786 -> viable/strict/1759472786 2025-12-04T08:55:29.1312151Z * [new tag] viable/strict/1759476294 -> viable/strict/1759476294 2025-12-04T08:55:29.1313086Z * [new tag] viable/strict/1759479963 -> viable/strict/1759479963 2025-12-04T08:55:29.1313826Z * [new tag] viable/strict/1759492177 -> viable/strict/1759492177 2025-12-04T08:55:29.1314875Z * [new tag] viable/strict/1759519278 -> viable/strict/1759519278 2025-12-04T08:55:29.1315623Z * [new tag] viable/strict/1759524580 -> viable/strict/1759524580 2025-12-04T08:55:29.1316662Z * [new tag] viable/strict/1759528193 -> viable/strict/1759528193 2025-12-04T08:55:29.1317721Z * [new tag] viable/strict/1759533797 -> viable/strict/1759533797 2025-12-04T08:55:29.1318665Z * [new tag] viable/strict/1759542780 -> viable/strict/1759542780 2025-12-04T08:55:29.1319596Z * [new tag] viable/strict/1759549779 -> viable/strict/1759549779 2025-12-04T08:55:29.1320540Z * [new tag] viable/strict/1759555455 -> viable/strict/1759555455 2025-12-04T08:55:29.1321519Z * [new tag] viable/strict/1759559176 -> viable/strict/1759559176 2025-12-04T08:55:29.1322436Z * [new tag] viable/strict/1759560629 -> viable/strict/1759560629 2025-12-04T08:55:29.1323386Z * [new tag] viable/strict/1759569848 -> viable/strict/1759569848 2025-12-04T08:55:29.1324530Z * [new tag] viable/strict/1759571382 -> viable/strict/1759571382 2025-12-04T08:55:29.1325522Z * [new tag] viable/strict/1759573474 -> viable/strict/1759573474 2025-12-04T08:55:29.1326297Z * [new tag] viable/strict/1759618187 -> viable/strict/1759618187 2025-12-04T08:55:29.1327316Z * [new tag] viable/strict/1759626742 -> viable/strict/1759626742 2025-12-04T08:55:29.1328266Z * [new tag] viable/strict/1759632427 -> viable/strict/1759632427 2025-12-04T08:55:29.1329278Z * [new tag] viable/strict/1759634971 -> viable/strict/1759634971 2025-12-04T08:55:29.1330049Z * [new tag] viable/strict/1759661382 -> viable/strict/1759661382 2025-12-04T08:55:29.1331112Z * [new tag] viable/strict/1759663294 -> viable/strict/1759663294 2025-12-04T08:55:29.1331809Z * [new tag] viable/strict/1759708178 -> viable/strict/1759708178 2025-12-04T08:55:29.1332925Z * [new tag] viable/strict/1759715695 -> viable/strict/1759715695 2025-12-04T08:55:29.1333720Z * [new tag] viable/strict/1759728293 -> viable/strict/1759728293 2025-12-04T08:55:29.1334746Z * [new tag] viable/strict/1759735513 -> viable/strict/1759735513 2025-12-04T08:55:29.1335743Z * [new tag] viable/strict/1759739177 -> viable/strict/1759739177 2025-12-04T08:55:29.1337043Z * [new tag] viable/strict/1759758635 -> viable/strict/1759758635 2025-12-04T08:55:29.1337837Z * [new tag] viable/strict/1759765784 -> viable/strict/1759765784 2025-12-04T08:55:29.1338858Z * [new tag] viable/strict/1759767948 -> viable/strict/1759767948 2025-12-04T08:55:29.1339859Z * [new tag] viable/strict/1759771461 -> viable/strict/1759771461 2025-12-04T08:55:29.1340484Z * [new tag] viable/strict/1759776706 -> viable/strict/1759776706 2025-12-04T08:55:29.1341515Z * [new tag] viable/strict/1759782317 -> viable/strict/1759782317 2025-12-04T08:55:29.1342512Z * [new tag] viable/strict/1759783777 -> viable/strict/1759783777 2025-12-04T08:55:29.1343469Z * [new tag] viable/strict/1759785815 -> viable/strict/1759785815 2025-12-04T08:55:29.1344265Z * [new tag] viable/strict/1759789459 -> viable/strict/1759789459 2025-12-04T08:55:29.1345261Z * [new tag] viable/strict/1759790974 -> viable/strict/1759790974 2025-12-04T08:55:29.1345978Z * [new tag] viable/strict/1759794583 -> viable/strict/1759794583 2025-12-04T08:55:29.1346978Z * [new tag] viable/strict/1759797408 -> viable/strict/1759797408 2025-12-04T08:55:29.1347937Z * [new tag] viable/strict/1759799518 -> viable/strict/1759799518 2025-12-04T08:55:29.1348727Z * [new tag] viable/strict/1759804909 -> viable/strict/1759804909 2025-12-04T08:55:29.1349946Z * [new tag] viable/strict/1759807643 -> viable/strict/1759807643 2025-12-04T08:55:29.1350844Z * [new tag] viable/strict/1759809089 -> viable/strict/1759809089 2025-12-04T08:55:29.1351778Z * [new tag] viable/strict/1759811145 -> viable/strict/1759811145 2025-12-04T08:55:29.1352730Z * [new tag] viable/strict/1759812581 -> viable/strict/1759812581 2025-12-04T08:55:29.1353723Z * [new tag] viable/strict/1759814683 -> viable/strict/1759814683 2025-12-04T08:55:29.1354519Z * [new tag] viable/strict/1759821889 -> viable/strict/1759821889 2025-12-04T08:55:29.1355547Z * [new tag] viable/strict/1759823376 -> viable/strict/1759823376 2025-12-04T08:55:29.1356432Z * [new tag] viable/strict/1759827107 -> viable/strict/1759827107 2025-12-04T08:55:29.1357334Z * [new tag] viable/strict/1759830577 -> viable/strict/1759830577 2025-12-04T08:55:29.1358351Z * [new tag] viable/strict/1759832720 -> viable/strict/1759832720 2025-12-04T08:55:29.1359162Z * [new tag] viable/strict/1759842063 -> viable/strict/1759842063 2025-12-04T08:55:29.1360138Z * [new tag] viable/strict/1759847121 -> viable/strict/1759847121 2025-12-04T08:55:29.1361408Z * [new tag] viable/strict/1759850721 -> viable/strict/1759850721 2025-12-04T08:55:29.1362183Z * [new tag] viable/strict/1759857870 -> viable/strict/1759857870 2025-12-04T08:55:29.1363301Z * [new tag] viable/strict/1759863143 -> viable/strict/1759863143 2025-12-04T08:55:29.1364161Z * [new tag] viable/strict/1759875874 -> viable/strict/1759875874 2025-12-04T08:55:29.1365091Z * [new tag] viable/strict/1759877385 -> viable/strict/1759877385 2025-12-04T08:55:29.1366096Z * [new tag] viable/strict/1759883801 -> viable/strict/1759883801 2025-12-04T08:55:29.1367007Z * [new tag] viable/strict/1759885922 -> viable/strict/1759885922 2025-12-04T08:55:29.1367915Z * [new tag] viable/strict/1759888488 -> viable/strict/1759888488 2025-12-04T08:55:29.1368712Z * [new tag] viable/strict/1759895471 -> viable/strict/1759895471 2025-12-04T08:55:29.1369803Z * [new tag] viable/strict/1759904803 -> viable/strict/1759904803 2025-12-04T08:55:29.1370827Z * [new tag] viable/strict/1759908300 -> viable/strict/1759908300 2025-12-04T08:55:29.1371807Z * [new tag] viable/strict/1759915520 -> viable/strict/1759915520 2025-12-04T08:55:29.1372702Z * [new tag] viable/strict/1759916978 -> viable/strict/1759916978 2025-12-04T08:55:29.1373386Z * [new tag] viable/strict/1759930024 -> viable/strict/1759930024 2025-12-04T08:55:29.1374430Z * [new tag] viable/strict/1759948122 -> viable/strict/1759948122 2025-12-04T08:55:29.1375363Z * [new tag] viable/strict/1759952983 -> viable/strict/1759952983 2025-12-04T08:55:29.1376352Z * [new tag] viable/strict/1759955121 -> viable/strict/1759955121 2025-12-04T08:55:29.1377244Z * [new tag] viable/strict/1759962298 -> viable/strict/1759962298 2025-12-04T08:55:29.1378164Z * [new tag] viable/strict/1759965837 -> viable/strict/1759965837 2025-12-04T08:55:29.1379056Z * [new tag] viable/strict/1759970213 -> viable/strict/1759970213 2025-12-04T08:55:29.1379951Z * [new tag] viable/strict/1759974894 -> viable/strict/1759974894 2025-12-04T08:55:29.1381048Z * [new tag] viable/strict/1759977763 -> viable/strict/1759977763 2025-12-04T08:55:29.1381770Z * [new tag] viable/strict/1759979241 -> viable/strict/1759979241 2025-12-04T08:55:29.1382818Z * [new tag] viable/strict/1759985417 -> viable/strict/1759985417 2025-12-04T08:55:29.1383722Z * [new tag] viable/strict/1759987490 -> viable/strict/1759987490 2025-12-04T08:55:29.1384655Z * [new tag] viable/strict/1759996180 -> viable/strict/1759996180 2025-12-04T08:55:29.1385555Z * [new tag] viable/strict/1760065682 -> viable/strict/1760065682 2025-12-04T08:55:29.1386476Z * [new tag] viable/strict/1760066894 -> viable/strict/1760066894 2025-12-04T08:55:29.1387514Z * [new tag] viable/strict/1760070345 -> viable/strict/1760070345 2025-12-04T08:55:29.1388469Z * [new tag] viable/strict/1760089782 -> viable/strict/1760089782 2025-12-04T08:55:29.1389286Z * [new tag] viable/strict/1760091921 -> viable/strict/1760091921 2025-12-04T08:55:29.1390257Z * [new tag] viable/strict/1760127924 -> viable/strict/1760127924 2025-12-04T08:55:29.1391198Z * [new tag] viable/strict/1760129489 -> viable/strict/1760129489 2025-12-04T08:55:29.1392205Z * [new tag] viable/strict/1760132980 -> viable/strict/1760132980 2025-12-04T08:55:29.1393252Z * [new tag] viable/strict/1760135060 -> viable/strict/1760135060 2025-12-04T08:55:29.1394178Z * [new tag] viable/strict/1760215782 -> viable/strict/1760215782 2025-12-04T08:55:29.1395175Z * [new tag] viable/strict/1760273849 -> viable/strict/1760273849 2025-12-04T08:55:29.1396101Z * [new tag] viable/strict/1760275517 -> viable/strict/1760275517 2025-12-04T08:55:29.1397436Z * [new tag] viable/strict/1760276979 -> viable/strict/1760276979 2025-12-04T08:55:29.1398393Z * [new tag] viable/strict/1760279007 -> viable/strict/1760279007 2025-12-04T08:55:29.1399093Z * [new tag] viable/strict/1760286328 -> viable/strict/1760286328 2025-12-04T08:55:29.1399910Z * [new tag] viable/strict/1760493304 -> viable/strict/1760493304 2025-12-04T08:55:29.1400885Z * [new tag] viable/strict/1760496298 -> viable/strict/1760496298 2025-12-04T08:55:29.1401813Z * [new tag] viable/strict/1760518396 -> viable/strict/1760518396 2025-12-04T08:55:29.1402740Z * [new tag] viable/strict/1760534864 -> viable/strict/1760534864 2025-12-04T08:55:29.1403712Z * [new tag] viable/strict/1760549062 -> viable/strict/1760549062 2025-12-04T08:55:29.1404778Z * [new tag] viable/strict/1760552799 -> viable/strict/1760552799 2025-12-04T08:55:29.1405770Z * [new tag] viable/strict/1760554355 -> viable/strict/1760554355 2025-12-04T08:55:29.1406719Z * [new tag] viable/strict/1760556275 -> viable/strict/1760556275 2025-12-04T08:55:29.1407655Z * [new tag] viable/strict/1760564979 -> viable/strict/1760564979 2025-12-04T08:55:29.1408578Z * [new tag] viable/strict/1760567049 -> viable/strict/1760567049 2025-12-04T08:55:29.1409959Z * [new tag] viable/strict/1760568585 -> viable/strict/1760568585 2025-12-04T08:55:29.1410767Z * [new tag] viable/strict/1760570630 -> viable/strict/1760570630 2025-12-04T08:55:29.1411762Z * [new tag] viable/strict/1760572180 -> viable/strict/1760572180 2025-12-04T08:55:29.1412694Z * [new tag] viable/strict/1760575094 -> viable/strict/1760575094 2025-12-04T08:55:29.1413727Z * [new tag] viable/strict/1760579709 -> viable/strict/1760579709 2025-12-04T08:55:29.1415059Z * [new tag] viable/strict/1760582614 -> viable/strict/1760582614 2025-12-04T08:55:29.1415998Z * [new tag] viable/strict/1760586815 -> viable/strict/1760586815 2025-12-04T08:55:29.1416710Z * [new tag] viable/strict/1760588829 -> viable/strict/1760588829 2025-12-04T08:55:29.1417783Z * [new tag] viable/strict/1760590200 -> viable/strict/1760590200 2025-12-04T08:55:29.1418661Z * [new tag] viable/strict/1760592311 -> viable/strict/1760592311 2025-12-04T08:55:29.1419612Z * [new tag] viable/strict/1760619733 -> viable/strict/1760619733 2025-12-04T08:55:29.1420347Z * [new tag] viable/strict/1760628335 -> viable/strict/1760628335 2025-12-04T08:55:29.1421357Z * [new tag] viable/strict/1760635490 -> viable/strict/1760635490 2025-12-04T08:55:29.1422143Z * [new tag] viable/strict/1760640743 -> viable/strict/1760640743 2025-12-04T08:55:29.1423126Z * [new tag] viable/strict/1760642528 -> viable/strict/1760642528 2025-12-04T08:55:29.1424106Z * [new tag] viable/strict/1760646330 -> viable/strict/1760646330 2025-12-04T08:55:29.1425008Z * [new tag] viable/strict/1760666101 -> viable/strict/1760666101 2025-12-04T08:55:29.1425957Z * [new tag] viable/strict/1760668990 -> viable/strict/1760668990 2025-12-04T08:55:29.1426853Z * [new tag] viable/strict/1760670600 -> viable/strict/1760670600 2025-12-04T08:55:29.1427808Z * [new tag] viable/strict/1760671704 -> viable/strict/1760671704 2025-12-04T08:55:29.1428733Z * [new tag] viable/strict/1760673121 -> viable/strict/1760673121 2025-12-04T08:55:29.1429658Z * [new tag] viable/strict/1760675352 -> viable/strict/1760675352 2025-12-04T08:55:29.1430561Z * [new tag] viable/strict/1760696731 -> viable/strict/1760696731 2025-12-04T08:55:29.1432898Z * [new tag] viable/strict/1760723515 -> viable/strict/1760723515 2025-12-04T08:55:29.1433850Z * [new tag] viable/strict/1760727234 -> viable/strict/1760727234 2025-12-04T08:55:29.1434769Z * [new tag] viable/strict/1760730578 -> viable/strict/1760730578 2025-12-04T08:55:29.1435698Z * [new tag] viable/strict/1760732726 -> viable/strict/1760732726 2025-12-04T08:55:29.1436625Z * [new tag] viable/strict/1760734180 -> viable/strict/1760734180 2025-12-04T08:55:29.1437545Z * [new tag] viable/strict/1760736251 -> viable/strict/1760736251 2025-12-04T08:55:29.1438536Z * [new tag] viable/strict/1760737772 -> viable/strict/1760737772 2025-12-04T08:55:29.1439543Z * [new tag] viable/strict/1760758005 -> viable/strict/1760758005 2025-12-04T08:55:29.1440334Z * [new tag] viable/strict/1760761532 -> viable/strict/1760761532 2025-12-04T08:55:29.1441320Z * [new tag] viable/strict/1760802581 -> viable/strict/1760802581 2025-12-04T08:55:29.1442226Z * [new tag] viable/strict/1760827772 -> viable/strict/1760827772 2025-12-04T08:55:29.1443168Z * [new tag] viable/strict/1760834524 -> viable/strict/1760834524 2025-12-04T08:55:29.1444248Z * [new tag] viable/strict/1760845009 -> viable/strict/1760845009 2025-12-04T08:55:29.1445285Z * [new tag] viable/strict/1760876836 -> viable/strict/1760876836 2025-12-04T08:55:29.1446224Z * [new tag] viable/strict/1760880329 -> viable/strict/1760880329 2025-12-04T08:55:29.1447031Z * [new tag] viable/strict/1760888987 -> viable/strict/1760888987 2025-12-04T08:55:29.1447973Z * [new tag] viable/strict/1760912664 -> viable/strict/1760912664 2025-12-04T08:55:29.1448882Z * [new tag] viable/strict/1760925321 -> viable/strict/1760925321 2025-12-04T08:55:29.1454395Z * [new tag] viable/strict/1760931488 -> viable/strict/1760931488 2025-12-04T08:55:29.1455464Z * [new tag] viable/strict/1760932693 -> viable/strict/1760932693 2025-12-04T08:55:29.1456439Z * [new tag] viable/strict/1761004184 -> viable/strict/1761004184 2025-12-04T08:55:29.1457445Z * [new tag] viable/strict/1761014748 -> viable/strict/1761014748 2025-12-04T08:55:29.1458376Z * [new tag] viable/strict/1761017491 -> viable/strict/1761017491 2025-12-04T08:55:29.1459293Z * [new tag] viable/strict/1761018806 -> viable/strict/1761018806 2025-12-04T08:55:29.1460401Z * [new tag] viable/strict/1761020754 -> viable/strict/1761020754 2025-12-04T08:55:29.1461323Z * [new tag] viable/strict/1761024303 -> viable/strict/1761024303 2025-12-04T08:55:29.1462110Z * [new tag] viable/strict/1761029582 -> viable/strict/1761029582 2025-12-04T08:55:29.1463163Z * [new tag] viable/strict/1761031535 -> viable/strict/1761031535 2025-12-04T08:55:29.1464428Z * [new tag] viable/strict/1761035196 -> viable/strict/1761035196 2025-12-04T08:55:29.1465435Z * [new tag] viable/strict/1761045825 -> viable/strict/1761045825 2025-12-04T08:55:29.1466399Z * [new tag] viable/strict/1761054796 -> viable/strict/1761054796 2025-12-04T08:55:29.1467372Z * [new tag] viable/strict/1761060314 -> viable/strict/1761060314 2025-12-04T08:55:29.1468339Z * [new tag] viable/strict/1761071198 -> viable/strict/1761071198 2025-12-04T08:55:29.1469285Z * [new tag] viable/strict/1761074628 -> viable/strict/1761074628 2025-12-04T08:55:29.1470237Z * [new tag] viable/strict/1761078351 -> viable/strict/1761078351 2025-12-04T08:55:29.1471175Z * [new tag] viable/strict/1761079822 -> viable/strict/1761079822 2025-12-04T08:55:29.1472078Z * [new tag] viable/strict/1761081873 -> viable/strict/1761081873 2025-12-04T08:55:29.1473015Z * [new tag] viable/strict/1761083392 -> viable/strict/1761083392 2025-12-04T08:55:29.1473953Z * [new tag] viable/strict/1761085465 -> viable/strict/1761085465 2025-12-04T08:55:29.1474963Z * [new tag] viable/strict/1761089099 -> viable/strict/1761089099 2025-12-04T08:55:29.1475887Z * [new tag] viable/strict/1761095535 -> viable/strict/1761095535 2025-12-04T08:55:29.1477064Z * [new tag] viable/strict/1761098119 -> viable/strict/1761098119 2025-12-04T08:55:29.1478454Z * [new tag] viable/strict/1761101330 -> viable/strict/1761101330 2025-12-04T08:55:29.1479500Z * [new tag] viable/strict/1761114425 -> viable/strict/1761114425 2025-12-04T08:55:29.1480271Z * [new tag] viable/strict/1761116036 -> viable/strict/1761116036 2025-12-04T08:55:29.1481277Z * [new tag] viable/strict/1761119379 -> viable/strict/1761119379 2025-12-04T08:55:29.1482083Z * [new tag] viable/strict/1761121601 -> viable/strict/1761121601 2025-12-04T08:55:29.1483098Z * [new tag] viable/strict/1761123234 -> viable/strict/1761123234 2025-12-04T08:55:29.1484009Z * [new tag] viable/strict/1761126621 -> viable/strict/1761126621 2025-12-04T08:55:29.1485069Z * [new tag] viable/strict/1761132259 -> viable/strict/1761132259 2025-12-04T08:55:29.1486035Z * [new tag] viable/strict/1761146746 -> viable/strict/1761146746 2025-12-04T08:55:29.1486951Z * [new tag] viable/strict/1761164752 -> viable/strict/1761164752 2025-12-04T08:55:29.1487843Z * [new tag] viable/strict/1761166198 -> viable/strict/1761166198 2025-12-04T08:55:29.1488805Z * [new tag] viable/strict/1761175424 -> viable/strict/1761175424 2025-12-04T08:55:29.1489756Z * [new tag] viable/strict/1761176983 -> viable/strict/1761176983 2025-12-04T08:55:29.1490844Z * [new tag] viable/strict/1761179891 -> viable/strict/1761179891 2025-12-04T08:55:29.1491888Z * [new tag] viable/strict/1761181930 -> viable/strict/1761181930 2025-12-04T08:55:29.1492714Z * [new tag] viable/strict/1761184516 -> viable/strict/1761184516 2025-12-04T08:55:29.1493849Z * [new tag] viable/strict/1761190179 -> viable/strict/1761190179 2025-12-04T08:55:29.1494806Z * [new tag] viable/strict/1761193558 -> viable/strict/1761193558 2025-12-04T08:55:29.1495711Z * [new tag] viable/strict/1761207990 -> viable/strict/1761207990 2025-12-04T08:55:29.1496603Z * [new tag] viable/strict/1761229539 -> viable/strict/1761229539 2025-12-04T08:55:29.1497814Z * [new tag] viable/strict/1761244031 -> viable/strict/1761244031 2025-12-04T08:55:29.1498708Z * [new tag] viable/strict/1761248986 -> viable/strict/1761248986 2025-12-04T08:55:29.1499663Z * [new tag] viable/strict/1761259791 -> viable/strict/1761259791 2025-12-04T08:55:29.1500570Z * [new tag] viable/strict/1761266139 -> viable/strict/1761266139 2025-12-04T08:55:29.1501593Z * [new tag] viable/strict/1761268316 -> viable/strict/1761268316 2025-12-04T08:55:29.1502498Z * [new tag] viable/strict/1761273805 -> viable/strict/1761273805 2025-12-04T08:55:29.1503383Z * [new tag] viable/strict/1761275261 -> viable/strict/1761275261 2025-12-04T08:55:29.1504380Z * [new tag] viable/strict/1761277913 -> viable/strict/1761277913 2025-12-04T08:55:29.1505400Z * [new tag] viable/strict/1761290701 -> viable/strict/1761290701 2025-12-04T08:55:29.1506358Z * [new tag] viable/strict/1761294396 -> viable/strict/1761294396 2025-12-04T08:55:29.1507260Z * [new tag] viable/strict/1761303047 -> viable/strict/1761303047 2025-12-04T08:55:29.1508205Z * [new tag] viable/strict/1761335388 -> viable/strict/1761335388 2025-12-04T08:55:29.1509162Z * [new tag] viable/strict/1761337551 -> viable/strict/1761337551 2025-12-04T08:55:29.1510158Z * [new tag] viable/strict/1761339007 -> viable/strict/1761339007 2025-12-04T08:55:29.1511117Z * [new tag] viable/strict/1761341050 -> viable/strict/1761341050 2025-12-04T08:55:29.1512061Z * [new tag] viable/strict/1761346188 -> viable/strict/1761346188 2025-12-04T08:55:29.1513160Z * [new tag] viable/strict/1761349792 -> viable/strict/1761349792 2025-12-04T08:55:29.1513961Z * [new tag] viable/strict/1761352620 -> viable/strict/1761352620 2025-12-04T08:55:29.1514949Z * [new tag] viable/strict/1761354730 -> viable/strict/1761354730 2025-12-04T08:55:29.1515959Z * [new tag] viable/strict/1761357298 -> viable/strict/1761357298 2025-12-04T08:55:29.1516882Z * [new tag] viable/strict/1761360201 -> viable/strict/1761360201 2025-12-04T08:55:29.1517835Z * [new tag] viable/strict/1761361753 -> viable/strict/1761361753 2025-12-04T08:55:29.1518734Z * [new tag] viable/strict/1761364351 -> viable/strict/1761364351 2025-12-04T08:55:29.1519685Z * [new tag] viable/strict/1761366338 -> viable/strict/1761366338 2025-12-04T08:55:29.1520782Z * [new tag] viable/strict/1761367802 -> viable/strict/1761367802 2025-12-04T08:55:29.1521705Z * [new tag] viable/strict/1761369889 -> viable/strict/1761369889 2025-12-04T08:55:29.1522780Z * [new tag] viable/strict/1761371385 -> viable/strict/1761371385 2025-12-04T08:55:29.1523721Z * [new tag] viable/strict/1761373581 -> viable/strict/1761373581 2025-12-04T08:55:29.1524908Z * [new tag] viable/strict/1761375054 -> viable/strict/1761375054 2025-12-04T08:55:29.1525933Z * [new tag] viable/strict/1761421785 -> viable/strict/1761421785 2025-12-04T08:55:29.1527284Z * [new tag] viable/strict/1761434614 -> viable/strict/1761434614 2025-12-04T08:55:29.1528529Z * [new tag] viable/strict/1761439254 -> viable/strict/1761439254 2025-12-04T08:55:29.1529346Z * [new tag] viable/strict/1761454187 -> viable/strict/1761454187 2025-12-04T08:55:29.1530524Z * [new tag] viable/strict/1761459991 -> viable/strict/1761459991 2025-12-04T08:55:29.1531576Z * [new tag] viable/strict/1761470668 -> viable/strict/1761470668 2025-12-04T08:55:29.1532911Z * [new tag] viable/strict/1761472188 -> viable/strict/1761472188 2025-12-04T08:55:29.1533852Z * [new tag] viable/strict/1761503178 -> viable/strict/1761503178 2025-12-04T08:55:29.1534795Z * [new tag] viable/strict/1761517492 -> viable/strict/1761517492 2025-12-04T08:55:29.1535752Z * [new tag] viable/strict/1761518981 -> viable/strict/1761518981 2025-12-04T08:55:29.1536719Z * [new tag] viable/strict/1761533609 -> viable/strict/1761533609 2025-12-04T08:55:29.1537438Z * [new tag] viable/strict/1761546438 -> viable/strict/1761546438 2025-12-04T08:55:29.1538572Z * [new tag] viable/strict/1761548133 -> viable/strict/1761548133 2025-12-04T08:55:29.1539740Z * [new tag] viable/strict/1761555186 -> viable/strict/1761555186 2025-12-04T08:55:29.1540765Z * [new tag] viable/strict/1761557178 -> viable/strict/1761557178 2025-12-04T08:55:29.1541657Z * [new tag] viable/strict/1761560772 -> viable/strict/1761560772 2025-12-04T08:55:29.1542747Z * [new tag] viable/strict/1761562266 -> viable/strict/1761562266 2025-12-04T08:55:29.1543677Z * [new tag] viable/strict/1761564260 -> viable/strict/1761564260 2025-12-04T08:55:29.1544581Z * [new tag] viable/strict/1761568072 -> viable/strict/1761568072 2025-12-04T08:55:29.1545537Z * [new tag] viable/strict/1761571683 -> viable/strict/1761571683 2025-12-04T08:55:29.1546249Z * [new tag] viable/strict/1761580199 -> viable/strict/1761580199 2025-12-04T08:55:29.1547322Z * [new tag] viable/strict/1761587383 -> viable/strict/1761587383 2025-12-04T08:55:29.1548347Z * [new tag] viable/strict/1761591165 -> viable/strict/1761591165 2025-12-04T08:55:29.1549499Z * [new tag] viable/strict/1761594575 -> viable/strict/1761594575 2025-12-04T08:55:29.1550300Z * [new tag] viable/strict/1761596710 -> viable/strict/1761596710 2025-12-04T08:55:29.1551345Z * [new tag] viable/strict/1761598189 -> viable/strict/1761598189 2025-12-04T08:55:29.1552302Z * [new tag] viable/strict/1761600254 -> viable/strict/1761600254 2025-12-04T08:55:29.1553261Z * [new tag] viable/strict/1761603879 -> viable/strict/1761603879 2025-12-04T08:55:29.1554237Z * [new tag] viable/strict/1761605429 -> viable/strict/1761605429 2025-12-04T08:55:29.1555394Z * [new tag] viable/strict/1761607468 -> viable/strict/1761607468 2025-12-04T08:55:29.1556337Z * [new tag] viable/strict/1761608983 -> viable/strict/1761608983 2025-12-04T08:55:29.1557297Z * [new tag] viable/strict/1761611846 -> viable/strict/1761611846 2025-12-04T08:55:29.1558326Z * [new tag] viable/strict/1761613922 -> viable/strict/1761613922 2025-12-04T08:55:29.1559046Z * [new tag] viable/strict/1761616504 -> viable/strict/1761616504 2025-12-04T08:55:29.1559855Z * [new tag] viable/strict/1761619599 -> viable/strict/1761619599 2025-12-04T08:55:29.1560934Z * [new tag] viable/strict/1761686693 -> viable/strict/1761686693 2025-12-04T08:55:29.1561826Z * [new tag] viable/strict/1761688179 -> viable/strict/1761688179 2025-12-04T08:55:29.1562812Z * [new tag] viable/strict/1761691973 -> viable/strict/1761691973 2025-12-04T08:55:29.1563872Z * [new tag] viable/strict/1761693884 -> viable/strict/1761693884 2025-12-04T08:55:29.1564877Z * [new tag] viable/strict/1761695389 -> viable/strict/1761695389 2025-12-04T08:55:29.1565900Z * [new tag] viable/strict/1761698408 -> viable/strict/1761698408 2025-12-04T08:55:29.1566852Z * [new tag] viable/strict/1761702931 -> viable/strict/1761702931 2025-12-04T08:55:29.1567832Z * [new tag] viable/strict/1761706307 -> viable/strict/1761706307 2025-12-04T08:55:29.1568788Z * [new tag] viable/strict/1761709065 -> viable/strict/1761709065 2025-12-04T08:55:29.1569812Z * [new tag] viable/strict/1761710285 -> viable/strict/1761710285 2025-12-04T08:55:29.1570783Z * [new tag] viable/strict/1761711983 -> viable/strict/1761711983 2025-12-04T08:55:29.1571795Z * [new tag] viable/strict/1761713514 -> viable/strict/1761713514 2025-12-04T08:55:29.1572884Z * [new tag] viable/strict/1761715523 -> viable/strict/1761715523 2025-12-04T08:55:29.1573769Z * [new tag] viable/strict/1761727973 -> viable/strict/1761727973 2025-12-04T08:55:29.1574845Z * [new tag] viable/strict/1761751558 -> viable/strict/1761751558 2025-12-04T08:55:29.1575802Z * [new tag] viable/strict/1761755187 -> viable/strict/1761755187 2025-12-04T08:55:29.1576823Z * [new tag] viable/strict/1761756826 -> viable/strict/1761756826 2025-12-04T08:55:29.1577769Z * [new tag] viable/strict/1761769551 -> viable/strict/1761769551 2025-12-04T08:55:29.1578803Z * [new tag] viable/strict/1761771032 -> viable/strict/1761771032 2025-12-04T08:55:29.1579563Z * [new tag] viable/strict/1761773101 -> viable/strict/1761773101 2025-12-04T08:55:29.1580661Z * [new tag] viable/strict/1761781792 -> viable/strict/1761781792 2025-12-04T08:55:29.1581646Z * [new tag] viable/strict/1761784788 -> viable/strict/1761784788 2025-12-04T08:55:29.1582618Z * [new tag] viable/strict/1761786740 -> viable/strict/1761786740 2025-12-04T08:55:29.1583610Z * [new tag] viable/strict/1761789332 -> viable/strict/1761789332 2025-12-04T08:55:29.1585102Z * [new tag] viable/strict/1761792569 -> viable/strict/1761792569 2025-12-04T08:55:29.1587430Z * [new tag] viable/strict/1761795289 -> viable/strict/1761795289 2025-12-04T08:55:29.1587634Z * [new tag] viable/strict/1761798345 -> viable/strict/1761798345 2025-12-04T08:55:29.1588688Z * [new tag] viable/strict/1761799827 -> viable/strict/1761799827 2025-12-04T08:55:29.1589050Z * [new tag] viable/strict/1761805604 -> viable/strict/1761805604 2025-12-04T08:55:29.1589975Z * [new tag] viable/strict/1761807202 -> viable/strict/1761807202 2025-12-04T08:55:29.1591313Z * [new tag] viable/strict/1761809094 -> viable/strict/1761809094 2025-12-04T08:55:29.1592353Z * [new tag] viable/strict/1761810576 -> viable/strict/1761810576 2025-12-04T08:55:29.1593340Z * [new tag] viable/strict/1761812771 -> viable/strict/1761812771 2025-12-04T08:55:29.1594384Z * [new tag] viable/strict/1761814363 -> viable/strict/1761814363 2025-12-04T08:55:29.1595325Z * [new tag] viable/strict/1761857410 -> viable/strict/1761857410 2025-12-04T08:55:29.1596310Z * [new tag] viable/strict/1761860985 -> viable/strict/1761860985 2025-12-04T08:55:29.1597333Z * [new tag] viable/strict/1761863094 -> viable/strict/1761863094 2025-12-04T08:55:29.1598334Z * [new tag] viable/strict/1761864590 -> viable/strict/1761864590 2025-12-04T08:55:29.1599288Z * [new tag] viable/strict/1761866675 -> viable/strict/1761866675 2025-12-04T08:55:29.1600436Z * [new tag] viable/strict/1761868178 -> viable/strict/1761868178 2025-12-04T08:55:29.1601435Z * [new tag] viable/strict/1761871111 -> viable/strict/1761871111 2025-12-04T08:55:29.1602421Z * [new tag] viable/strict/1761873126 -> viable/strict/1761873126 2025-12-04T08:55:29.1603375Z * [new tag] viable/strict/1761875714 -> viable/strict/1761875714 2025-12-04T08:55:29.1604488Z * [new tag] viable/strict/1761878924 -> viable/strict/1761878924 2025-12-04T08:55:29.1605539Z * [new tag] viable/strict/1761881727 -> viable/strict/1761881727 2025-12-04T08:55:29.1606526Z * [new tag] viable/strict/1761882959 -> viable/strict/1761882959 2025-12-04T08:55:29.1607501Z * [new tag] viable/strict/1761886268 -> viable/strict/1761886268 2025-12-04T08:55:29.1608477Z * [new tag] viable/strict/1761893641 -> viable/strict/1761893641 2025-12-04T08:55:29.1609461Z * [new tag] viable/strict/1761931517 -> viable/strict/1761931517 2025-12-04T08:55:29.1610420Z * [new tag] viable/strict/1761933080 -> viable/strict/1761933080 2025-12-04T08:55:29.1611395Z * [new tag] viable/strict/1761935217 -> viable/strict/1761935217 2025-12-04T08:55:29.1612398Z * [new tag] viable/strict/1761938533 -> viable/strict/1761938533 2025-12-04T08:55:29.1613447Z * [new tag] viable/strict/1761940184 -> viable/strict/1761940184 2025-12-04T08:55:29.1614398Z * [new tag] viable/strict/1761942338 -> viable/strict/1761942338 2025-12-04T08:55:29.1615372Z * [new tag] viable/strict/1761946100 -> viable/strict/1761946100 2025-12-04T08:55:29.1616338Z * [new tag] viable/strict/1761947374 -> viable/strict/1761947374 2025-12-04T08:55:29.1617292Z * [new tag] viable/strict/1761950978 -> viable/strict/1761950978 2025-12-04T08:55:29.1618281Z * [new tag] viable/strict/1761957727 -> viable/strict/1761957727 2025-12-04T08:55:29.1619366Z * [new tag] viable/strict/1761959532 -> viable/strict/1761959532 2025-12-04T08:55:29.1620367Z * [new tag] viable/strict/1761965366 -> viable/strict/1761965366 2025-12-04T08:55:29.1621542Z * [new tag] viable/strict/1761968066 -> viable/strict/1761968066 2025-12-04T08:55:29.1622447Z * [new tag] viable/strict/1761969322 -> viable/strict/1761969322 2025-12-04T08:55:29.1623413Z * [new tag] viable/strict/1761974723 -> viable/strict/1761974723 2025-12-04T08:55:29.1624492Z * [new tag] viable/strict/1761981837 -> viable/strict/1761981837 2025-12-04T08:55:29.1625496Z * [new tag] viable/strict/1761985546 -> viable/strict/1761985546 2025-12-04T08:55:29.1626523Z * [new tag] viable/strict/1761987030 -> viable/strict/1761987030 2025-12-04T08:55:29.1627532Z * [new tag] viable/strict/1762003554 -> viable/strict/1762003554 2025-12-04T08:55:29.1628488Z * [new tag] viable/strict/1762021560 -> viable/strict/1762021560 2025-12-04T08:55:29.1629453Z * [new tag] viable/strict/1762032190 -> viable/strict/1762032190 2025-12-04T08:55:29.1630475Z * [new tag] viable/strict/1762040981 -> viable/strict/1762040981 2025-12-04T08:55:29.1631453Z * [new tag] viable/strict/1762048525 -> viable/strict/1762048525 2025-12-04T08:55:29.1632514Z * [new tag] viable/strict/1762104223 -> viable/strict/1762104223 2025-12-04T08:55:29.1633458Z * [new tag] viable/strict/1762105778 -> viable/strict/1762105778 2025-12-04T08:55:29.1634427Z * [new tag] viable/strict/1762115109 -> viable/strict/1762115109 2025-12-04T08:55:29.1635382Z * [new tag] viable/strict/1762125840 -> viable/strict/1762125840 2025-12-04T08:55:29.1636154Z * [new tag] viable/strict/1762127377 -> viable/strict/1762127377 2025-12-04T08:55:29.1637569Z * [new tag] viable/strict/1762134925 -> viable/strict/1762134925 2025-12-04T08:55:29.1638335Z * [new tag] viable/strict/1762138338 -> viable/strict/1762138338 2025-12-04T08:55:29.1639414Z * [new tag] viable/strict/1762148993 -> viable/strict/1762148993 2025-12-04T08:55:29.1640382Z * [new tag] viable/strict/1762152871 -> viable/strict/1762152871 2025-12-04T08:55:29.1641469Z * [new tag] viable/strict/1762156183 -> viable/strict/1762156183 2025-12-04T08:55:29.1642432Z * [new tag] viable/strict/1762163457 -> viable/strict/1762163457 2025-12-04T08:55:29.1643388Z * [new tag] viable/strict/1762165569 -> viable/strict/1762165569 2025-12-04T08:55:29.1644432Z * [new tag] viable/strict/1762169035 -> viable/strict/1762169035 2025-12-04T08:55:29.1645548Z * [new tag] viable/strict/1762174936 -> viable/strict/1762174936 2025-12-04T08:55:29.1646541Z * [new tag] viable/strict/1762194412 -> viable/strict/1762194412 2025-12-04T08:55:29.1647479Z * [new tag] viable/strict/1762195876 -> viable/strict/1762195876 2025-12-04T08:55:29.1648452Z * [new tag] viable/strict/1762197788 -> viable/strict/1762197788 2025-12-04T08:55:29.1649608Z * [new tag] viable/strict/1762199389 -> viable/strict/1762199389 2025-12-04T08:55:29.1650921Z * [new tag] viable/strict/1762206585 -> viable/strict/1762206585 2025-12-04T08:55:29.1652042Z * [new tag] viable/strict/1762210184 -> viable/strict/1762210184 2025-12-04T08:55:29.1652805Z * [new tag] viable/strict/1762218736 -> viable/strict/1762218736 2025-12-04T08:55:29.1653935Z * [new tag] viable/strict/1762224529 -> viable/strict/1762224529 2025-12-04T08:55:29.1654951Z * [new tag] viable/strict/1762227253 -> viable/strict/1762227253 2025-12-04T08:55:29.1656172Z * [new tag] viable/strict/1762228515 -> viable/strict/1762228515 2025-12-04T08:55:29.1657289Z * [new tag] viable/strict/1762230349 -> viable/strict/1762230349 2025-12-04T08:55:29.1658370Z * [new tag] viable/strict/1762231859 -> viable/strict/1762231859 2025-12-04T08:55:29.1659346Z * [new tag] viable/strict/1762233925 -> viable/strict/1762233925 2025-12-04T08:55:29.1660429Z * [new tag] viable/strict/1762237630 -> viable/strict/1762237630 2025-12-04T08:55:29.1661225Z * [new tag] viable/strict/1762253522 -> viable/strict/1762253522 2025-12-04T08:55:29.1662385Z * [new tag] viable/strict/1762278588 -> viable/strict/1762278588 2025-12-04T08:55:29.1663314Z * [new tag] viable/strict/1762284203 -> viable/strict/1762284203 2025-12-04T08:55:29.1664353Z * [new tag] viable/strict/1762289446 -> viable/strict/1762289446 2025-12-04T08:55:29.1665334Z * [new tag] viable/strict/1762291515 -> viable/strict/1762291515 2025-12-04T08:55:29.1666387Z * [new tag] viable/strict/1762295100 -> viable/strict/1762295100 2025-12-04T08:55:29.1667176Z * [new tag] viable/strict/1762296590 -> viable/strict/1762296590 2025-12-04T08:55:29.1667996Z * [new tag] viable/strict/1762300179 -> viable/strict/1762300179 2025-12-04T08:55:29.1668897Z * [new tag] viable/strict/1762303207 -> viable/strict/1762303207 2025-12-04T08:55:29.1669900Z * [new tag] viable/strict/1762386584 -> viable/strict/1762386584 2025-12-04T08:55:29.1670887Z * [new tag] viable/strict/1762391537 -> viable/strict/1762391537 2025-12-04T08:55:29.1671656Z * [new tag] viable/strict/1762394119 -> viable/strict/1762394119 2025-12-04T08:55:29.1673082Z * [new tag] viable/strict/1762397437 -> viable/strict/1762397437 2025-12-04T08:55:29.1674057Z * [new tag] viable/strict/1762400256 -> viable/strict/1762400256 2025-12-04T08:55:29.1675041Z * [new tag] viable/strict/1762401469 -> viable/strict/1762401469 2025-12-04T08:55:29.1676100Z * [new tag] viable/strict/1762408195 -> viable/strict/1762408195 2025-12-04T08:55:29.1677099Z * [new tag] viable/strict/1762410411 -> viable/strict/1762410411 2025-12-04T08:55:29.1678105Z * [new tag] viable/strict/1762417613 -> viable/strict/1762417613 2025-12-04T08:55:29.1679146Z * [new tag] viable/strict/1762419198 -> viable/strict/1762419198 2025-12-04T08:55:29.1680196Z * [new tag] viable/strict/1762422656 -> viable/strict/1762422656 2025-12-04T08:55:29.1681541Z * [new tag] viable/strict/1762424746 -> viable/strict/1762424746 2025-12-04T08:55:29.1682588Z * [new tag] viable/strict/1762446386 -> viable/strict/1762446386 2025-12-04T08:55:29.1683600Z * [new tag] viable/strict/1762449912 -> viable/strict/1762449912 2025-12-04T08:55:29.1684802Z * [new tag] viable/strict/1762457031 -> viable/strict/1762457031 2025-12-04T08:55:29.1685854Z * [new tag] viable/strict/1762462441 -> viable/strict/1762462441 2025-12-04T08:55:29.1686819Z * [new tag] viable/strict/1762467909 -> viable/strict/1762467909 2025-12-04T08:55:29.1687841Z * [new tag] viable/strict/1762471493 -> viable/strict/1762471493 2025-12-04T08:55:29.1688834Z * [new tag] viable/strict/1762475990 -> viable/strict/1762475990 2025-12-04T08:55:29.1689969Z * [new tag] viable/strict/1762477933 -> viable/strict/1762477933 2025-12-04T08:55:29.1690978Z * [new tag] viable/strict/1762491053 -> viable/strict/1762491053 2025-12-04T08:55:29.1691956Z * [new tag] viable/strict/1762493118 -> viable/strict/1762493118 2025-12-04T08:55:29.1692994Z * [new tag] viable/strict/1762498442 -> viable/strict/1762498442 2025-12-04T08:55:29.1693969Z * [new tag] viable/strict/1762501778 -> viable/strict/1762501778 2025-12-04T08:55:29.1695040Z * [new tag] viable/strict/1762504001 -> viable/strict/1762504001 2025-12-04T08:55:29.1696099Z * [new tag] viable/strict/1762505583 -> viable/strict/1762505583 2025-12-04T08:55:29.1697125Z * [new tag] viable/strict/1762507523 -> viable/strict/1762507523 2025-12-04T08:55:29.1698176Z * [new tag] viable/strict/1762511140 -> viable/strict/1762511140 2025-12-04T08:55:29.1699340Z * [new tag] viable/strict/1762512632 -> viable/strict/1762512632 2025-12-04T08:55:29.1700337Z * [new tag] viable/strict/1762520467 -> viable/strict/1762520467 2025-12-04T08:55:29.1701341Z * [new tag] viable/strict/1762522016 -> viable/strict/1762522016 2025-12-04T08:55:29.1702306Z * [new tag] viable/strict/1762530591 -> viable/strict/1762530591 2025-12-04T08:55:29.1703292Z * [new tag] viable/strict/1762543405 -> viable/strict/1762543405 2025-12-04T08:55:29.1704070Z * [new tag] viable/strict/1762544998 -> viable/strict/1762544998 2025-12-04T08:55:29.1705146Z * [new tag] viable/strict/1762552182 -> viable/strict/1762552182 2025-12-04T08:55:29.1706109Z * [new tag] viable/strict/1762554297 -> viable/strict/1762554297 2025-12-04T08:55:29.1706914Z * [new tag] viable/strict/1762559381 -> viable/strict/1762559381 2025-12-04T08:55:29.1707983Z * [new tag] viable/strict/1762562222 -> viable/strict/1762562222 2025-12-04T08:55:29.1708960Z * [new tag] viable/strict/1762564319 -> viable/strict/1762564319 2025-12-04T08:55:29.1709787Z * [new tag] viable/strict/1762566904 -> viable/strict/1762566904 2025-12-04T08:55:29.1710807Z * [new tag] viable/strict/1762569781 -> viable/strict/1762569781 2025-12-04T08:55:29.1711789Z * [new tag] viable/strict/1762575940 -> viable/strict/1762575940 2025-12-04T08:55:29.1712811Z * [new tag] viable/strict/1762580974 -> viable/strict/1762580974 2025-12-04T08:55:29.1713867Z * [new tag] viable/strict/1762583185 -> viable/strict/1762583185 2025-12-04T08:55:29.1714866Z * [new tag] viable/strict/1762586647 -> viable/strict/1762586647 2025-12-04T08:55:29.1715777Z * [new tag] viable/strict/1762588183 -> viable/strict/1762588183 2025-12-04T08:55:29.1716941Z * [new tag] viable/strict/1762593886 -> viable/strict/1762593886 2025-12-04T08:55:29.1717939Z * [new tag] viable/strict/1762650743 -> viable/strict/1762650743 2025-12-04T08:55:29.1719011Z * [new tag] viable/strict/1762653328 -> viable/strict/1762653328 2025-12-04T08:55:29.1719963Z * [new tag] viable/strict/1762659342 -> viable/strict/1762659342 2025-12-04T08:55:29.1721349Z * [new tag] viable/strict/1762662360 -> viable/strict/1762662360 2025-12-04T08:55:29.1722368Z * [new tag] viable/strict/1762667377 -> viable/strict/1762667377 2025-12-04T08:55:29.1723341Z * [new tag] viable/strict/1762671090 -> viable/strict/1762671090 2025-12-04T08:55:29.1724388Z * [new tag] viable/strict/1762680284 -> viable/strict/1762680284 2025-12-04T08:55:29.1725489Z * [new tag] viable/strict/1762683900 -> viable/strict/1762683900 2025-12-04T08:55:29.1726510Z * [new tag] viable/strict/1762705541 -> viable/strict/1762705541 2025-12-04T08:55:29.1727480Z * [new tag] viable/strict/1762709004 -> viable/strict/1762709004 2025-12-04T08:55:29.1728477Z * [new tag] viable/strict/1762746004 -> viable/strict/1762746004 2025-12-04T08:55:29.1729618Z * [new tag] viable/strict/1762748799 -> viable/strict/1762748799 2025-12-04T08:55:29.1730644Z * [new tag] viable/strict/1762759504 -> viable/strict/1762759504 2025-12-04T08:55:29.1731778Z * [new tag] viable/strict/1762760973 -> viable/strict/1762760973 2025-12-04T08:55:29.1732688Z * [new tag] viable/strict/1762775374 -> viable/strict/1762775374 2025-12-04T08:55:29.1733763Z * [new tag] viable/strict/1762777661 -> viable/strict/1762777661 2025-12-04T08:55:29.1734711Z * [new tag] viable/strict/1762779774 -> viable/strict/1762779774 2025-12-04T08:55:29.1735802Z * [new tag] viable/strict/1762781259 -> viable/strict/1762781259 2025-12-04T08:55:29.1736916Z * [new tag] viable/strict/1762793628 -> viable/strict/1762793628 2025-12-04T08:55:29.1737960Z * [new tag] viable/strict/1762800711 -> viable/strict/1762800711 2025-12-04T08:55:29.1738994Z * [new tag] viable/strict/1762809894 -> viable/strict/1762809894 2025-12-04T08:55:29.1739946Z * [new tag] viable/strict/1762811384 -> viable/strict/1762811384 2025-12-04T08:55:29.1741026Z * [new tag] viable/strict/1762813841 -> viable/strict/1762813841 2025-12-04T08:55:29.1742056Z * [new tag] viable/strict/1762815047 -> viable/strict/1762815047 2025-12-04T08:55:29.1743201Z * [new tag] viable/strict/1762817094 -> viable/strict/1762817094 2025-12-04T08:55:29.1744266Z * [new tag] viable/strict/1762818582 -> viable/strict/1762818582 2025-12-04T08:55:29.1745277Z * [new tag] viable/strict/1762821623 -> viable/strict/1762821623 2025-12-04T08:55:29.1746085Z * [new tag] viable/strict/1762823531 -> viable/strict/1762823531 2025-12-04T08:55:29.1747184Z * [new tag] viable/strict/1762849583 -> viable/strict/1762849583 2025-12-04T08:55:29.1748155Z * [new tag] viable/strict/1762851200 -> viable/strict/1762851200 2025-12-04T08:55:29.1749255Z * [new tag] viable/strict/1762854603 -> viable/strict/1762854603 2025-12-04T08:55:29.1750492Z * [new tag] viable/strict/1762858276 -> viable/strict/1762858276 2025-12-04T08:55:29.1751608Z * [new tag] viable/strict/1762860891 -> viable/strict/1762860891 2025-12-04T08:55:29.1753136Z * [new tag] viable/strict/1762866174 -> viable/strict/1762866174 2025-12-04T08:55:29.1754145Z * [new tag] viable/strict/1762867653 -> viable/strict/1762867653 2025-12-04T08:55:29.1755051Z * [new tag] viable/strict/1762872669 -> viable/strict/1762872669 2025-12-04T08:55:29.1756019Z * [new tag] viable/strict/1762878380 -> viable/strict/1762878380 2025-12-04T08:55:29.1756995Z * [new tag] viable/strict/1762889003 -> viable/strict/1762889003 2025-12-04T08:55:29.1758008Z * [new tag] viable/strict/1762890589 -> viable/strict/1762890589 2025-12-04T08:55:29.1759020Z * [new tag] viable/strict/1762892743 -> viable/strict/1762892743 2025-12-04T08:55:29.1760001Z * [new tag] viable/strict/1762894271 -> viable/strict/1762894271 2025-12-04T08:55:29.1760796Z * [new tag] viable/strict/1762896287 -> viable/strict/1762896287 2025-12-04T08:55:29.1761892Z * [new tag] viable/strict/1762915871 -> viable/strict/1762915871 2025-12-04T08:55:29.1762970Z * [new tag] viable/strict/1762918569 -> viable/strict/1762918569 2025-12-04T08:55:29.1763713Z * [new tag] viable/strict/1762919776 -> viable/strict/1762919776 2025-12-04T08:55:29.1764903Z * [new tag] viable/strict/1762923072 -> viable/strict/1762923072 2025-12-04T08:55:29.1765936Z * [new tag] viable/strict/1762928826 -> viable/strict/1762928826 2025-12-04T08:55:29.1767041Z * [new tag] viable/strict/1762930451 -> viable/strict/1762930451 2025-12-04T08:55:29.1768045Z * [new tag] viable/strict/1762933780 -> viable/strict/1762933780 2025-12-04T08:55:29.1769191Z * [new tag] viable/strict/1762937638 -> viable/strict/1762937638 2025-12-04T08:55:29.1770283Z * [new tag] viable/strict/1762939545 -> viable/strict/1762939545 2025-12-04T08:55:29.1771306Z * [new tag] viable/strict/1762962692 -> viable/strict/1762962692 2025-12-04T08:55:29.1772281Z * [new tag] viable/strict/1762979143 -> viable/strict/1762979143 2025-12-04T08:55:29.1773282Z * [new tag] viable/strict/1762984188 -> viable/strict/1762984188 2025-12-04T08:55:29.1774037Z * [new tag] viable/strict/1762986306 -> viable/strict/1762986306 2025-12-04T08:55:29.1775222Z * [new tag] viable/strict/1762989903 -> viable/strict/1762989903 2025-12-04T08:55:29.1776162Z * [new tag] viable/strict/1762991377 -> viable/strict/1762991377 2025-12-04T08:55:29.1777144Z * [new tag] viable/strict/1762998921 -> viable/strict/1762998921 2025-12-04T08:55:29.1778254Z * [new tag] viable/strict/1763002287 -> viable/strict/1763002287 2025-12-04T08:55:29.1779311Z * [new tag] viable/strict/1763016840 -> viable/strict/1763016840 2025-12-04T08:55:29.1780299Z * [new tag] viable/strict/1763020180 -> viable/strict/1763020180 2025-12-04T08:55:29.1781344Z * [new tag] viable/strict/1763027421 -> viable/strict/1763027421 2025-12-04T08:55:29.1782680Z * [new tag] viable/strict/1763031120 -> viable/strict/1763031120 2025-12-04T08:55:29.1783869Z * [new tag] viable/strict/1763036861 -> viable/strict/1763036861 2025-12-04T08:55:29.1784893Z * [new tag] viable/strict/1763038993 -> viable/strict/1763038993 2025-12-04T08:55:29.1785964Z * [new tag] viable/strict/1763054703 -> viable/strict/1763054703 2025-12-04T08:55:29.1786728Z * [new tag] viable/strict/1763067061 -> viable/strict/1763067061 2025-12-04T08:55:29.1788281Z * [new tag] viable/strict/1763070847 -> viable/strict/1763070847 2025-12-04T08:55:29.1789290Z * [new tag] viable/strict/1763072706 -> viable/strict/1763072706 2025-12-04T08:55:29.1790354Z * [new tag] viable/strict/1763076302 -> viable/strict/1763076302 2025-12-04T08:55:29.1791330Z * [new tag] viable/strict/1763080816 -> viable/strict/1763080816 2025-12-04T08:55:29.1792316Z * [new tag] viable/strict/1763082732 -> viable/strict/1763082732 2025-12-04T08:55:29.1793301Z * [new tag] viable/strict/1763085329 -> viable/strict/1763085329 2025-12-04T08:55:29.1794342Z * [new tag] viable/strict/1763088623 -> viable/strict/1763088623 2025-12-04T08:55:29.1795559Z * [new tag] viable/strict/1763091402 -> viable/strict/1763091402 2025-12-04T08:55:29.1796540Z * [new tag] viable/strict/1763092602 -> viable/strict/1763092602 2025-12-04T08:55:29.1797535Z * [new tag] viable/strict/1763094355 -> viable/strict/1763094355 2025-12-04T08:55:29.1798568Z * [new tag] viable/strict/1763099390 -> viable/strict/1763099390 2025-12-04T08:55:29.1799585Z * [new tag] viable/strict/1763101608 -> viable/strict/1763101608 2025-12-04T08:55:29.1800622Z * [new tag] viable/strict/1763105102 -> viable/strict/1763105102 2025-12-04T08:55:29.1801654Z * [new tag] viable/strict/1763112347 -> viable/strict/1763112347 2025-12-04T08:55:29.1802656Z * [new tag] viable/strict/1763119471 -> viable/strict/1763119471 2025-12-04T08:55:29.1803412Z * [new tag] viable/strict/1763126835 -> viable/strict/1763126835 2025-12-04T08:55:29.1804433Z * [new tag] viable/strict/1763149779 -> viable/strict/1763149779 2025-12-04T08:55:29.1805572Z * [new tag] viable/strict/1763164178 -> viable/strict/1763164178 2025-12-04T08:55:29.1806614Z * [new tag] viable/strict/1763167104 -> viable/strict/1763167104 2025-12-04T08:55:29.1807560Z * [new tag] viable/strict/1763169132 -> viable/strict/1763169132 2025-12-04T08:55:29.1808504Z * [new tag] viable/strict/1763171708 -> viable/strict/1763171708 2025-12-04T08:55:29.1809483Z * [new tag] viable/strict/1763174759 -> viable/strict/1763174759 2025-12-04T08:55:29.1810486Z * [new tag] viable/strict/1763180744 -> viable/strict/1763180744 2025-12-04T08:55:29.1811514Z * [new tag] viable/strict/1763182227 -> viable/strict/1763182227 2025-12-04T08:55:29.1812516Z * [new tag] viable/strict/1763184309 -> viable/strict/1763184309 2025-12-04T08:55:29.1814027Z * [new tag] viable/strict/1763187991 -> viable/strict/1763187991 2025-12-04T08:55:29.1815046Z * [new tag] viable/strict/1763191445 -> viable/strict/1763191445 2025-12-04T08:55:29.1816181Z * [new tag] viable/strict/1763195152 -> viable/strict/1763195152 2025-12-04T08:55:29.1817162Z * [new tag] viable/strict/1763205769 -> viable/strict/1763205769 2025-12-04T08:55:29.1818152Z * [new tag] viable/strict/1763246990 -> viable/strict/1763246990 2025-12-04T08:55:29.1819193Z * [new tag] viable/strict/1763261578 -> viable/strict/1763261578 2025-12-04T08:55:29.1820018Z * [new tag] viable/strict/1763286573 -> viable/strict/1763286573 2025-12-04T08:55:29.1820864Z * [new tag] viable/strict/1763292167 -> viable/strict/1763292167 2025-12-04T08:55:29.1822011Z * [new tag] viable/strict/1763333386 -> viable/strict/1763333386 2025-12-04T08:55:29.1822975Z * [new tag] viable/strict/1763340082 -> viable/strict/1763340082 2025-12-04T08:55:29.1824678Z * [new tag] viable/strict/1763364324 -> viable/strict/1763364324 2025-12-04T08:55:29.1825682Z * [new tag] viable/strict/1763371569 -> viable/strict/1763371569 2025-12-04T08:55:29.1826662Z * [new tag] viable/strict/1763373067 -> viable/strict/1763373067 2025-12-04T08:55:29.1827681Z * [new tag] viable/strict/1763375157 -> viable/strict/1763375157 2025-12-04T08:55:29.1828677Z * [new tag] viable/strict/1763382462 -> viable/strict/1763382462 2025-12-04T08:55:29.1829730Z * [new tag] viable/strict/1763394661 -> viable/strict/1763394661 2025-12-04T08:55:29.1830854Z * [new tag] viable/strict/1763396797 -> viable/strict/1763396797 2025-12-04T08:55:29.1831990Z * [new tag] viable/strict/1763398542 -> viable/strict/1763398542 2025-12-04T08:55:29.1833017Z * [new tag] viable/strict/1763401807 -> viable/strict/1763401807 2025-12-04T08:55:29.1833774Z * [new tag] viable/strict/1763414698 -> viable/strict/1763414698 2025-12-04T08:55:29.1834878Z * [new tag] viable/strict/1763419807 -> viable/strict/1763419807 2025-12-04T08:55:29.1835849Z * [new tag] viable/strict/1763426369 -> viable/strict/1763426369 2025-12-04T08:55:29.1836901Z * [new tag] viable/strict/1763428331 -> viable/strict/1763428331 2025-12-04T08:55:29.1837966Z * [new tag] viable/strict/1763430922 -> viable/strict/1763430922 2025-12-04T08:55:29.1838747Z * [new tag] viable/strict/1763434184 -> viable/strict/1763434184 2025-12-04T08:55:29.1839861Z * [new tag] viable/strict/1763439973 -> viable/strict/1763439973 2025-12-04T08:55:29.1840889Z * [new tag] viable/strict/1763444995 -> viable/strict/1763444995 2025-12-04T08:55:29.1841850Z * [new tag] viable/strict/1763447206 -> viable/strict/1763447206 2025-12-04T08:55:29.1842885Z * [new tag] viable/strict/1763448826 -> viable/strict/1763448826 2025-12-04T08:55:29.1844032Z * [new tag] viable/strict/1763450717 -> viable/strict/1763450717 2025-12-04T08:55:29.1845101Z * [new tag] viable/strict/1763452183 -> viable/strict/1763452183 2025-12-04T08:55:29.1846187Z * [new tag] viable/strict/1763457945 -> viable/strict/1763457945 2025-12-04T08:55:29.1847180Z * [new tag] viable/strict/1763459439 -> viable/strict/1763459439 2025-12-04T08:55:29.1847929Z * [new tag] viable/strict/1763461556 -> viable/strict/1763461556 2025-12-04T08:55:29.1849048Z * [new tag] viable/strict/1763463103 -> viable/strict/1763463103 2025-12-04T08:55:29.1850399Z * [new tag] viable/strict/1763465100 -> viable/strict/1763465100 2025-12-04T08:55:29.1851412Z * [new tag] viable/strict/1763468866 -> viable/strict/1763468866 2025-12-04T08:55:29.1852227Z * [new tag] viable/strict/1763493823 -> viable/strict/1763493823 2025-12-04T08:55:29.1853204Z * [new tag] viable/strict/1763496249 -> viable/strict/1763496249 2025-12-04T08:55:29.1854591Z * [new tag] viable/strict/1763502620 -> viable/strict/1763502620 2025-12-04T08:55:29.1855641Z * [new tag] viable/strict/1763504715 -> viable/strict/1763504715 2025-12-04T08:55:29.1856663Z * [new tag] viable/strict/1763506208 -> viable/strict/1763506208 2025-12-04T08:55:29.1857714Z * [new tag] viable/strict/1763520590 -> viable/strict/1763520590 2025-12-04T08:55:29.1858757Z * [new tag] viable/strict/1763523357 -> viable/strict/1763523357 2025-12-04T08:55:29.1859870Z * [new tag] viable/strict/1763529922 -> viable/strict/1763529922 2025-12-04T08:55:29.1860909Z * [new tag] viable/strict/1763531408 -> viable/strict/1763531408 2025-12-04T08:55:29.1861933Z * [new tag] viable/strict/1763533622 -> viable/strict/1763533622 2025-12-04T08:55:29.1862911Z * [new tag] viable/strict/1763538576 -> viable/strict/1763538576 2025-12-04T08:55:29.1863973Z * [new tag] viable/strict/1763545823 -> viable/strict/1763545823 2025-12-04T08:55:29.1864702Z * [new tag] viable/strict/1763547951 -> viable/strict/1763547951 2025-12-04T08:55:29.1865889Z * [new tag] viable/strict/1763551477 -> viable/strict/1763551477 2025-12-04T08:55:29.1866885Z * [new tag] viable/strict/1763552982 -> viable/strict/1763552982 2025-12-04T08:55:29.1867853Z * [new tag] viable/strict/1763594698 -> viable/strict/1763594698 2025-12-04T08:55:29.1868855Z * [new tag] viable/strict/1763596178 -> viable/strict/1763596178 2025-12-04T08:55:29.1869920Z * [new tag] viable/strict/1763599155 -> viable/strict/1763599155 2025-12-04T08:55:29.1870935Z * [new tag] viable/strict/1763603717 -> viable/strict/1763603717 2025-12-04T08:55:29.1871997Z * [new tag] viable/strict/1763606923 -> viable/strict/1763606923 2025-12-04T08:55:29.1872983Z * [new tag] viable/strict/1763609715 -> viable/strict/1763609715 2025-12-04T08:55:29.1873984Z * [new tag] viable/strict/1763612757 -> viable/strict/1763612757 2025-12-04T08:55:29.1874957Z * [new tag] viable/strict/1763616325 -> viable/strict/1763616325 2025-12-04T08:55:29.1875993Z * [new tag] viable/strict/1763623509 -> viable/strict/1763623509 2025-12-04T08:55:29.1877091Z * [new tag] viable/strict/1763624984 -> viable/strict/1763624984 2025-12-04T08:55:29.1878090Z * [new tag] viable/strict/1763628796 -> viable/strict/1763628796 2025-12-04T08:55:29.1879049Z * [new tag] viable/strict/1763634343 -> viable/strict/1763634343 2025-12-04T08:55:29.1880033Z * [new tag] viable/strict/1763635867 -> viable/strict/1763635867 2025-12-04T08:55:29.1881323Z * [new tag] viable/strict/1763639382 -> viable/strict/1763639382 2025-12-04T08:55:29.1882115Z * [new tag] viable/strict/1763646626 -> viable/strict/1763646626 2025-12-04T08:55:29.1883492Z * [new tag] viable/strict/1763655997 -> viable/strict/1763655997 2025-12-04T08:55:29.1884556Z * [new tag] viable/strict/1763659444 -> viable/strict/1763659444 2025-12-04T08:55:29.1885601Z * [new tag] viable/strict/1763660992 -> viable/strict/1763660992 2025-12-04T08:55:29.1886428Z * [new tag] viable/strict/1763663201 -> viable/strict/1763663201 2025-12-04T08:55:29.1887564Z * [new tag] viable/strict/1763670362 -> viable/strict/1763670362 2025-12-04T08:55:29.1888350Z * [new tag] viable/strict/1763675378 -> viable/strict/1763675378 2025-12-04T08:55:29.1889469Z * [new tag] viable/strict/1763693343 -> viable/strict/1763693343 2025-12-04T08:55:29.1890465Z * [new tag] viable/strict/1763696088 -> viable/strict/1763696088 2025-12-04T08:55:29.1891581Z * [new tag] viable/strict/1763697343 -> viable/strict/1763697343 2025-12-04T08:55:29.1892575Z * [new tag] viable/strict/1763699165 -> viable/strict/1763699165 2025-12-04T08:55:29.1893631Z * [new tag] viable/strict/1763700660 -> viable/strict/1763700660 2025-12-04T08:55:29.1894531Z * [new tag] viable/strict/1763704209 -> viable/strict/1763704209 2025-12-04T08:55:29.1895652Z * [new tag] viable/strict/1763706411 -> viable/strict/1763706411 2025-12-04T08:55:29.1896589Z * [new tag] viable/strict/1763708082 -> viable/strict/1763708082 2025-12-04T08:55:29.1897555Z * [new tag] viable/strict/1763711381 -> viable/strict/1763711381 2025-12-04T08:55:29.1898336Z * [new tag] viable/strict/1763713593 -> viable/strict/1763713593 2025-12-04T08:55:29.1899430Z * [new tag] viable/strict/1763715201 -> viable/strict/1763715201 2025-12-04T08:55:29.1900404Z * [new tag] viable/strict/1763733017 -> viable/strict/1763733017 2025-12-04T08:55:29.1901472Z * [new tag] viable/strict/1763735108 -> viable/strict/1763735108 2025-12-04T08:55:29.1902286Z * [new tag] viable/strict/1763749579 -> viable/strict/1763749579 2025-12-04T08:55:29.1903388Z * [new tag] viable/strict/1763751113 -> viable/strict/1763751113 2025-12-04T08:55:29.1904412Z * [new tag] viable/strict/1763753035 -> viable/strict/1763753035 2025-12-04T08:55:29.1905377Z * [new tag] viable/strict/1763754578 -> viable/strict/1763754578 2025-12-04T08:55:29.1906364Z * [new tag] viable/strict/1763756748 -> viable/strict/1763756748 2025-12-04T08:55:29.1907391Z * [new tag] viable/strict/1763758205 -> viable/strict/1763758205 2025-12-04T08:55:29.1908141Z * [new tag] viable/strict/1763764050 -> viable/strict/1763764050 2025-12-04T08:55:29.1909240Z * [new tag] viable/strict/1763771887 -> viable/strict/1763771887 2025-12-04T08:55:29.1910339Z * [new tag] viable/strict/1763773920 -> viable/strict/1763773920 2025-12-04T08:55:29.1911299Z * [new tag] viable/strict/1763776501 -> viable/strict/1763776501 2025-12-04T08:55:29.1912258Z * [new tag] viable/strict/1763779437 -> viable/strict/1763779437 2025-12-04T08:55:29.1913475Z * [new tag] viable/strict/1763781038 -> viable/strict/1763781038 2025-12-04T08:55:29.1914248Z * [new tag] viable/strict/1763782245 -> viable/strict/1763782245 2025-12-04T08:55:29.1915423Z * [new tag] viable/strict/1763785568 -> viable/strict/1763785568 2025-12-04T08:55:29.1916504Z * [new tag] viable/strict/1763787006 -> viable/strict/1763787006 2025-12-04T08:55:29.1917604Z * [new tag] viable/strict/1763789103 -> viable/strict/1763789103 2025-12-04T08:55:29.1918501Z * [new tag] viable/strict/1763790578 -> viable/strict/1763790578 2025-12-04T08:55:29.1919924Z * [new tag] viable/strict/1763796275 -> viable/strict/1763796275 2025-12-04T08:55:29.1921207Z * [new tag] viable/strict/1763801465 -> viable/strict/1763801465 2025-12-04T08:55:29.1922189Z * [new tag] viable/strict/1763803522 -> viable/strict/1763803522 2025-12-04T08:55:29.1923168Z * [new tag] viable/strict/1763808581 -> viable/strict/1763808581 2025-12-04T08:55:29.1924203Z * [new tag] viable/strict/1763840977 -> viable/strict/1763840977 2025-12-04T08:55:29.1925322Z * [new tag] viable/strict/1763846659 -> viable/strict/1763846659 2025-12-04T08:55:29.1926336Z * [new tag] viable/strict/1763872065 -> viable/strict/1763872065 2025-12-04T08:55:29.1927404Z * [new tag] viable/strict/1763873648 -> viable/strict/1763873648 2025-12-04T08:55:29.1928403Z * [new tag] viable/strict/1763875506 -> viable/strict/1763875506 2025-12-04T08:55:29.1929169Z * [new tag] viable/strict/1763889904 -> viable/strict/1763889904 2025-12-04T08:55:29.1930270Z * [new tag] viable/strict/1763930999 -> viable/strict/1763930999 2025-12-04T08:55:29.1931338Z * [new tag] viable/strict/1763944964 -> viable/strict/1763944964 2025-12-04T08:55:29.1932072Z * [new tag] viable/strict/1763958474 -> viable/strict/1763958474 2025-12-04T08:55:29.1933193Z * [new tag] viable/strict/1763967263 -> viable/strict/1763967263 2025-12-04T08:55:29.1934189Z * [new tag] viable/strict/1763972803 -> viable/strict/1763972803 2025-12-04T08:55:29.1935129Z * [new tag] viable/strict/1763976376 -> viable/strict/1763976376 2025-12-04T08:55:29.1936157Z * [new tag] viable/strict/1763989404 -> viable/strict/1763989404 2025-12-04T08:55:29.1937067Z * [new tag] viable/strict/1763990887 -> viable/strict/1763990887 2025-12-04T08:55:29.1938126Z * [new tag] viable/strict/1764019919 -> viable/strict/1764019919 2025-12-04T08:55:29.1939165Z * [new tag] viable/strict/1764023134 -> viable/strict/1764023134 2025-12-04T08:55:29.1939943Z * [new tag] viable/strict/1764024593 -> viable/strict/1764024593 2025-12-04T08:55:29.1941018Z * [new tag] viable/strict/1764026706 -> viable/strict/1764026706 2025-12-04T08:55:29.1942249Z * [new tag] viable/strict/1764031139 -> viable/strict/1764031139 2025-12-04T08:55:29.1943255Z * [new tag] viable/strict/1764033131 -> viable/strict/1764033131 2025-12-04T08:55:29.1944019Z * [new tag] viable/strict/1764035725 -> viable/strict/1764035725 2025-12-04T08:55:29.1945051Z * [new tag] viable/strict/1764624265 -> viable/strict/1764624265 2025-12-04T08:55:29.1945862Z * [new tag] viable/strict/1764631514 -> viable/strict/1764631514 2025-12-04T08:55:29.1946798Z * [new tag] viable/strict/1764632987 -> viable/strict/1764632987 2025-12-04T08:55:29.1947772Z * [new tag] viable/strict/1764636063 -> viable/strict/1764636063 2025-12-04T08:55:29.1948505Z * [new tag] viable/strict/1764643975 -> viable/strict/1764643975 2025-12-04T08:55:29.1949429Z * [new tag] viable/strict/1764646859 -> viable/strict/1764646859 2025-12-04T08:55:29.1953213Z * [new tag] viable/strict/1764653120 -> viable/strict/1764653120 2025-12-04T08:55:29.1953965Z * [new tag] viable/strict/1764654632 -> viable/strict/1764654632 2025-12-04T08:55:29.1954953Z * [new tag] viable/strict/1764656821 -> viable/strict/1764656821 2025-12-04T08:55:29.1955824Z * [new tag] viable/strict/1764658557 -> viable/strict/1764658557 2025-12-04T08:55:29.1956536Z * [new tag] viable/strict/1764660333 -> viable/strict/1764660333 2025-12-04T08:55:29.1957345Z * [new tag] viable/strict/1764661812 -> viable/strict/1764661812 2025-12-04T08:55:29.1958328Z * [new tag] viable/strict/1764664023 -> viable/strict/1764664023 2025-12-04T08:55:29.1959031Z * [new tag] viable/strict/1764669150 -> viable/strict/1764669150 2025-12-04T08:55:29.1959847Z * [new tag] viable/strict/1764680709 -> viable/strict/1764680709 2025-12-04T08:55:29.1960760Z * [new tag] viable/strict/1764687619 -> viable/strict/1764687619 2025-12-04T08:55:29.1961557Z * [new tag] viable/strict/1764696355 -> viable/strict/1764696355 2025-12-04T08:55:29.1962470Z * [new tag] viable/strict/1764701767 -> viable/strict/1764701767 2025-12-04T08:55:29.1963213Z * [new tag] viable/strict/1764710768 -> viable/strict/1764710768 2025-12-04T08:55:29.1964189Z * [new tag] viable/strict/1764716202 -> viable/strict/1764716202 2025-12-04T08:55:29.1965096Z * [new tag] viable/strict/1764793566 -> viable/strict/1764793566 2025-12-04T08:55:29.1965834Z * [new tag] viable/strict/1764797093 -> viable/strict/1764797093 2025-12-04T08:55:29.1966766Z * [new tag] viable/strict/1764800729 -> viable/strict/1764800729 2025-12-04T08:55:29.1967847Z * [new tag] whc_flight_1 -> whc_flight_1 2025-12-04T08:55:29.1968901Z * [new tag] whc_flight_2 -> whc_flight_2 2025-12-04T08:55:29.1970029Z * [new tag] whc_flight_4 -> whc_flight_4 2025-12-04T08:55:29.2734225Z [command]/usr/bin/git rev-parse --verify --quiet ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32^{object} 2025-12-04T08:55:29.2759120Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:55:29.2763127Z ##[endgroup] 2025-12-04T08:55:29.2763444Z ##[group]Determining the checkout info 2025-12-04T08:55:29.2764161Z ##[endgroup] 2025-12-04T08:55:29.2768194Z [command]/usr/bin/git sparse-checkout disable 2025-12-04T08:55:29.2799801Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-12-04T08:55:29.2826640Z ##[group]Checking out the ref 2025-12-04T08:55:29.2830327Z [command]/usr/bin/git checkout --progress --force ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:55:30.3102383Z Updating files: 80% (16261/20121) 2025-12-04T08:55:30.3383503Z Updating files: 81% (16299/20121) 2025-12-04T08:55:30.3589959Z Updating files: 82% (16500/20121) 2025-12-04T08:55:30.3737406Z Updating files: 83% (16701/20121) 2025-12-04T08:55:30.3873079Z Updating files: 84% (16902/20121) 2025-12-04T08:55:30.4029137Z Updating files: 85% (17103/20121) 2025-12-04T08:55:30.4181793Z Updating files: 86% (17305/20121) 2025-12-04T08:55:30.4318592Z Updating files: 87% (17506/20121) 2025-12-04T08:55:30.4428120Z Updating files: 88% (17707/20121) 2025-12-04T08:55:30.4561115Z Updating files: 89% (17908/20121) 2025-12-04T08:55:30.4728098Z Updating files: 90% (18109/20121) 2025-12-04T08:55:30.4840733Z Updating files: 91% (18311/20121) 2025-12-04T08:55:30.4992585Z Updating files: 92% (18512/20121) 2025-12-04T08:55:30.5171085Z Updating files: 93% (18713/20121) 2025-12-04T08:55:30.5371924Z Updating files: 94% 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You can look around, make experimental 2025-12-04T08:55:30.6585982Z changes and commit them, and you can discard any commits you make in this 2025-12-04T08:55:30.6586554Z state without impacting any branches by switching back to a branch. 2025-12-04T08:55:30.6586887Z 2025-12-04T08:55:30.6587112Z If you want to create a new branch to retain commits you create, you may 2025-12-04T08:55:30.6587628Z do so (now or later) by using -c with the switch command. Example: 2025-12-04T08:55:30.6587948Z 2025-12-04T08:55:30.6588066Z git switch -c 2025-12-04T08:55:30.6588264Z 2025-12-04T08:55:30.6588390Z Or undo this operation with: 2025-12-04T08:55:30.6588574Z 2025-12-04T08:55:30.6588670Z git switch - 2025-12-04T08:55:30.6588819Z 2025-12-04T08:55:30.6589060Z Turn off this advice by setting config variable advice.detachedHead to false 2025-12-04T08:55:30.6589432Z 2025-12-04T08:55:30.6590633Z HEAD is now at ffd9b0fb435 Resolve collective autotuning test failure on arm (#168919) 2025-12-04T08:55:30.6660539Z ##[endgroup] 2025-12-04T08:55:30.6661118Z ##[group]Setting up auth for fetching submodules 2025-12-04T08:55:30.6671490Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-12-04T08:55:30.6716987Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-12-04T08:55:30.6743644Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-12-04T08:55:30.6769972Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-12-04T08:55:30.6792563Z ##[endgroup] 2025-12-04T08:55:30.6793226Z ##[group]Fetching submodules 2025-12-04T08:55:30.6797772Z [command]/usr/bin/git submodule sync --recursive 2025-12-04T08:55:30.7101104Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-12-04T08:55:30.7401413Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-12-04T08:55:30.7402502Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-12-04T08:55:30.7404998Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-12-04T08:55:30.7407558Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-12-04T08:55:30.7410254Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-12-04T08:55:30.7413609Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-12-04T08:55:30.7416287Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-12-04T08:55:30.7419237Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-12-04T08:55:30.7422425Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-12-04T08:55:30.7425793Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-12-04T08:55:30.7429044Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-12-04T08:55:30.7432386Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-12-04T08:55:30.7436037Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-12-04T08:55:30.7439807Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-12-04T08:55:30.7443298Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-12-04T08:55:30.7448230Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-12-04T08:55:30.7454599Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-12-04T08:55:30.7458515Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-12-04T08:55:30.7462662Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-12-04T08:55:30.7466626Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-12-04T08:55:30.7470941Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-12-04T08:55:30.7475128Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-12-04T08:55:30.7479577Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-12-04T08:55:30.7483993Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-12-04T08:55:30.7488805Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-12-04T08:55:30.7493444Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-12-04T08:55:30.7498172Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-12-04T08:55:30.7502940Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-12-04T08:55:30.7508176Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-12-04T08:55:30.7513024Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-12-04T08:55:30.7518194Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-12-04T08:55:30.7523414Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-12-04T08:55:30.7529040Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-12-04T08:55:30.7535803Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-12-04T08:55:30.7541460Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-12-04T08:55:30.7547032Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-12-04T08:55:30.7554671Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-12-04T08:55:30.7584775Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-12-04T08:55:30.9752598Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-12-04T08:55:30.9753371Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-12-04T08:55:30.9778247Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2025-12-04T08:55:34.2046064Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-12-04T08:55:34.2050555Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-12-04T08:55:34.2051960Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-12-04T08:55:34.2053261Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2025-12-04T08:55:34.2054876Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-12-04T08:55:34.2057091Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-12-04T08:55:34.2067461Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-12-04T08:55:34.2068956Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-12-04T08:55:34.2070458Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2025-12-04T08:55:34.2071878Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-12-04T08:55:34.2073413Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-12-04T08:55:34.2074854Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-12-04T08:55:34.2076432Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-12-04T08:55:34.2077891Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-12-04T08:55:34.2080164Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-12-04T08:55:34.2081642Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2025-12-04T08:55:34.2083188Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-12-04T08:55:34.2296195Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-12-04T08:55:34.4189746Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-12-04T08:55:51.8693486Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-12-04T08:55:51.8695202Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-12-04T08:55:51.8696702Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-12-04T08:55:51.8698141Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-12-04T08:55:51.8699637Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-12-04T08:55:51.8701065Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-12-04T08:55:51.8702495Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-12-04T08:55:51.8703926Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-12-04T08:55:51.8705316Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-12-04T08:55:51.8706815Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-12-04T08:55:51.8708338Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-12-04T08:55:51.9694220Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-12-04T08:55:57.5390423Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-12-04T08:55:57.5391857Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-12-04T08:55:57.5552935Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-12-04T08:55:57.5680240Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-12-04T08:55:57.5777621Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-12-04T08:55:57.6031148Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-12-04T08:55:57.6878403Z Submodule path 'third_party/NVTX': checked out '3ebbc93ded7285963bff932c678fa367eb393ba6' 2025-12-04T08:55:57.7458823Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-12-04T08:55:58.4954967Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-12-04T08:55:58.6861476Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-12-04T08:55:58.6881631Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T08:55:58.6909316Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-12-04T08:56:03.4622891Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-12-04T08:56:03.4867984Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-12-04T08:56:03.8488937Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-12-04T08:56:03.9007793Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-12-04T08:56:03.9994214Z Submodule path 'third_party/cpuinfo': checked out 'f858c30bcb16f8effd5ff46996f0514539e17abc' 2025-12-04T08:56:04.0489458Z Submodule path 'third_party/cudnn_frontend': checked out '0b1577c8c83401237d601d0d0db5210506705396' 2025-12-04T08:56:04.7101768Z Submodule path 'third_party/cutlass': checked out 'f88806b1e31dfa579842638740216dd41fc6c588' 2025-12-04T08:56:04.8682258Z Submodule path 'third_party/fbgemm': checked out 'c0b988d39a9e47c794d699f29930ed4d7c7e13a4' 2025-12-04T08:56:04.8703330Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-12-04T08:56:04.8705945Z Submodule 'external/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-12-04T08:56:04.8708483Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-12-04T08:56:04.8711148Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-12-04T08:56:04.8714012Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-12-04T08:56:04.8717008Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-12-04T08:56:04.8719856Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-12-04T08:56:04.8748857Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-12-04T08:56:06.0919379Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-12-04T08:56:06.0920361Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-12-04T08:56:06.0921309Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-12-04T08:56:06.1920170Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-12-04T08:56:09.4143508Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-12-04T08:56:09.5143810Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-12-04T08:56:12.3591940Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-12-04T08:56:12.7199233Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-12-04T08:56:12.8222380Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-12-04T08:56:13.4617435Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '98125ce499b0fdf7ffbe0e3052f5b8709f4840f8' 2025-12-04T08:56:13.5089844Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T08:56:13.5213253Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-12-04T08:56:13.6240198Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-12-04T08:56:13.6954230Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-12-04T08:56:13.6974709Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T08:56:13.6977123Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-12-04T08:56:13.7004731Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-12-04T08:56:18.0171801Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-12-04T08:56:18.2644992Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-12-04T08:56:18.8332588Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-12-04T08:56:18.9767415Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-12-04T08:56:19.0074312Z Submodule path 'third_party/fmt': checked out '407c905e45ad75fc29bf0f9bb7c5c2fd3475976f' 2025-12-04T08:56:19.0486057Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-12-04T08:56:19.0749335Z Submodule path 'third_party/gloo': checked out '54cbae0d3a67fa890b4c3d9ee162b7860315e341' 2025-12-04T08:56:19.1215430Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T08:56:19.1351622Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-12-04T08:56:19.1368378Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-12-04T08:56:19.1394715Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-12-04T08:56:34.6221794Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-12-04T08:56:34.6433792Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-12-04T08:56:34.7294452Z Submodule path 'third_party/kineto': checked out '31f85df8fbd89c188f14ef10f1ec65379786b943' 2025-12-04T08:56:34.7313634Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T08:56:34.7316023Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T08:56:34.7318816Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T08:56:34.7347705Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-12-04T08:56:35.4176472Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-12-04T08:56:36.3524235Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-12-04T08:56:36.4445501Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out 'd2ffe0a4e3acace628db49974246b66fc3e85fb1' 2025-12-04T08:56:36.4463438Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T08:56:36.4465989Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T08:56:36.4468731Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T08:56:36.4471543Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T08:56:36.4474454Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T08:56:36.4477597Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T08:56:36.4480755Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T08:56:36.4484003Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T08:56:36.4487563Z 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' 2025-12-04T08:56:36.4516321Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-12-04T08:56:38.3133740Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-12-04T08:56:38.3135032Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'... 2025-12-04T08:56:38.3136297Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-12-04T08:56:38.3137871Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-12-04T08:56:38.3139050Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-12-04T08:56:38.3140259Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-12-04T08:56:38.3141451Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-12-04T08:56:38.4134786Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-12-04T08:56:43.9927000Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-12-04T08:56:44.0111719Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-12-04T08:56:44.0480653Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-12-04T08:56:44.0620089Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-12-04T08:56:44.0635951Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T08:56:44.0662817Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-12-04T08:56:44.3339464Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-12-04T08:56:44.3534446Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-12-04T08:56:44.3996560Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T08:56:44.5011659Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-12-04T08:56:44.5182979Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 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'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T08:57:04.5493146Z [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" 2025-12-04T08:57:04.5791656Z Entering 'android/libs/fbjni' 2025-12-04T08:57:04.5844071Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-12-04T08:57:04.5863341Z Entering 'third_party/FP16' 2025-12-04T08:57:04.5914033Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-12-04T08:57:04.5932119Z Entering 'third_party/FXdiv' 2025-12-04T08:57:04.5984792Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-12-04T08:57:04.6001478Z Entering 'third_party/NNPACK' 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2025-12-04T08:57:05.4835574Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T08:57:05.4876740Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T08:57:05.4920678Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T08:57:05.4961501Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T08:57:05.5001463Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T08:57:05.5040728Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:57:05.5082922Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:57:05.5124762Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T08:57:05.5186039Z Entering 'third_party/pocketfft' 2025-12-04T08:57:05.5227446Z Entering 'third_party/protobuf' 2025-12-04T08:57:05.5272765Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T08:57:05.5312715Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T08:57:05.5355702Z Entering 'third_party/psimd' 2025-12-04T08:57:05.5398329Z Entering 'third_party/pthreadpool' 2025-12-04T08:57:05.5440971Z Entering 'third_party/pybind11' 2025-12-04T08:57:05.5483414Z Entering 'third_party/python-peachpy' 2025-12-04T08:57:05.5525000Z Entering 'third_party/sleef' 2025-12-04T08:57:05.5566858Z Entering 'third_party/tensorpipe' 2025-12-04T08:57:05.5608481Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T08:57:05.5649999Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T08:57:05.5692523Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T08:57:05.5733700Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T08:57:05.5773535Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T08:57:05.5830324Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-12-04T08:57:05.6135808Z Entering 'android/libs/fbjni' 2025-12-04T08:57:05.6180701Z Entering 'third_party/FP16' 2025-12-04T08:57:05.6222797Z Entering 'third_party/FXdiv' 2025-12-04T08:57:05.6266374Z Entering 'third_party/NNPACK' 2025-12-04T08:57:05.6308130Z Entering 'third_party/NVTX' 2025-12-04T08:57:05.6350902Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T08:57:05.6393684Z Entering 'third_party/XNNPACK' 2025-12-04T08:57:05.6452056Z Entering 'third_party/aiter' 2025-12-04T08:57:05.6494530Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T08:57:05.6543794Z Entering 'third_party/benchmark' 2025-12-04T08:57:05.6586216Z Entering 'third_party/composable_kernel' 2025-12-04T08:57:05.6635779Z Entering 'third_party/cpp-httplib' 2025-12-04T08:57:05.6676998Z Entering 'third_party/cpuinfo' 2025-12-04T08:57:05.6719261Z Entering 'third_party/cudnn_frontend' 2025-12-04T08:57:05.6764057Z Entering 'third_party/cutlass' 2025-12-04T08:57:05.6815167Z Entering 'third_party/fbgemm' 2025-12-04T08:57:05.6861374Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T08:57:05.6901431Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T08:57:05.6950783Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T08:57:05.6991637Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T08:57:05.7041801Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T08:57:05.7083406Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T08:57:05.7123147Z Entering 'third_party/fbgemm/external/json' 2025-12-04T08:57:05.7168393Z Entering 'third_party/flash-attention' 2025-12-04T08:57:05.7213838Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T08:57:05.7263731Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T08:57:05.7314137Z Entering 'third_party/flatbuffers' 2025-12-04T08:57:05.7358207Z Entering 'third_party/fmt' 2025-12-04T08:57:05.7400460Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T08:57:05.7442201Z Entering 'third_party/gloo' 2025-12-04T08:57:05.7484554Z Entering 'third_party/googletest' 2025-12-04T08:57:05.7528085Z Entering 'third_party/ideep' 2025-12-04T08:57:05.7569406Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T08:57:05.7620058Z Entering 'third_party/ittapi' 2025-12-04T08:57:05.7663898Z Entering 'third_party/kineto' 2025-12-04T08:57:05.7705396Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T08:57:05.7746121Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T08:57:05.7791656Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T08:57:05.7833055Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T08:57:05.7875340Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T08:57:05.7916911Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T08:57:05.7961500Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T08:57:05.8002599Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T08:57:05.8044717Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T08:57:05.8088054Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T08:57:05.8128469Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T08:57:05.8169292Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:57:05.8214700Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:57:05.8261572Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T08:57:05.8303098Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T08:57:05.8346269Z Entering 'third_party/kleidiai' 2025-12-04T08:57:05.8392866Z Entering 'third_party/mimalloc' 2025-12-04T08:57:05.8434388Z Entering 'third_party/nlohmann' 2025-12-04T08:57:05.8479301Z Entering 'third_party/onnx' 2025-12-04T08:57:05.8538980Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T08:57:05.8583369Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T08:57:05.8627376Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T08:57:05.8667445Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T08:57:05.8707915Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T08:57:05.8748123Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T08:57:05.8789915Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T08:57:05.8830273Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T08:57:05.8874630Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T08:57:05.8915101Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:57:05.8957356Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:57:05.8999627Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T08:57:05.9061416Z Entering 'third_party/pocketfft' 2025-12-04T08:57:05.9103666Z Entering 'third_party/protobuf' 2025-12-04T08:57:05.9148811Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T08:57:05.9199036Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T08:57:05.9233859Z Entering 'third_party/psimd' 2025-12-04T08:57:05.9276232Z Entering 'third_party/pthreadpool' 2025-12-04T08:57:05.9318204Z Entering 'third_party/pybind11' 2025-12-04T08:57:05.9360454Z Entering 'third_party/python-peachpy' 2025-12-04T08:57:05.9401982Z Entering 'third_party/sleef' 2025-12-04T08:57:05.9445404Z Entering 'third_party/tensorpipe' 2025-12-04T08:57:05.9486980Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T08:57:05.9527335Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T08:57:05.9568472Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T08:57:05.9609022Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T08:57:05.9649544Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T08:57:05.9706963Z ##[endgroup] 2025-12-04T08:57:05.9740390Z [command]/usr/bin/git log -1 --format=%H 2025-12-04T08:57:05.9763398Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:57:05.9865588Z ##[group]Run cd "${GITHUB_WORKSPACE}" 2025-12-04T08:57:05.9865958Z cd "${GITHUB_WORKSPACE}" 2025-12-04T08:57:05.9866273Z # Clean stale submodule dirs 2025-12-04T08:57:05.9866599Z if [ -z "${NO_SUDO}" ]; then 2025-12-04T08:57:05.9867007Z  sudo git submodule foreach --recursive git clean -ffdx 2025-12-04T08:57:05.9867402Z else 2025-12-04T08:57:05.9867711Z  git submodule foreach --recursive git clean -ffdx 2025-12-04T08:57:05.9868083Z fi 2025-12-04T08:57:05.9877993Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:57:05.9878393Z env: 2025-12-04T08:57:05.9878620Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:57:05.9878879Z NO_SUDO: true 2025-12-04T08:57:05.9879107Z ##[endgroup] 2025-12-04T08:57:06.0201302Z Entering 'android/libs/fbjni' 2025-12-04T08:57:06.0233680Z Entering 'third_party/FP16' 2025-12-04T08:57:06.0264013Z Entering 'third_party/FXdiv' 2025-12-04T08:57:06.0293396Z Entering 'third_party/NNPACK' 2025-12-04T08:57:06.0328598Z Entering 'third_party/NVTX' 2025-12-04T08:57:06.0365251Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T08:57:06.0396318Z Entering 'third_party/XNNPACK' 2025-12-04T08:57:06.0519224Z Entering 'third_party/aiter' 2025-12-04T08:57:06.0560930Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T08:57:06.0664881Z Entering 'third_party/benchmark' 2025-12-04T08:57:06.0697650Z Entering 'third_party/composable_kernel' 2025-12-04T08:57:06.0812995Z Entering 'third_party/cpp-httplib' 2025-12-04T08:57:06.0845918Z Entering 'third_party/cpuinfo' 2025-12-04T08:57:06.0881851Z Entering 'third_party/cudnn_frontend' 2025-12-04T08:57:06.0916835Z Entering 'third_party/cutlass' 2025-12-04T08:57:06.1015774Z Entering 'third_party/fbgemm' 2025-12-04T08:57:06.1075226Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T08:57:06.1105744Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T08:57:06.1223332Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T08:57:06.1258058Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T08:57:06.1354134Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T08:57:06.1387828Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T08:57:06.1416379Z Entering 'third_party/fbgemm/external/json' 2025-12-04T08:57:06.1460120Z Entering 'third_party/flash-attention' 2025-12-04T08:57:06.1499833Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T08:57:06.1600120Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T08:57:06.1688202Z Entering 'third_party/flatbuffers' 2025-12-04T08:57:06.1756776Z Entering 'third_party/fmt' 2025-12-04T08:57:06.1788881Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T08:57:06.1821211Z Entering 'third_party/gloo' 2025-12-04T08:57:06.1853783Z Entering 'third_party/googletest' 2025-12-04T08:57:06.1887697Z Entering 'third_party/ideep' 2025-12-04T08:57:06.1917629Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T08:57:06.2001840Z Entering 'third_party/ittapi' 2025-12-04T08:57:06.2034395Z Entering 'third_party/kineto' 2025-12-04T08:57:06.2068794Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T08:57:06.2104735Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T08:57:06.2149280Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T08:57:06.2182930Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T08:57:06.2214704Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T08:57:06.2244239Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T08:57:06.2274961Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T08:57:06.2305968Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T08:57:06.2338196Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T08:57:06.2382468Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T08:57:06.2412408Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T08:57:06.2443530Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:57:06.2490048Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:57:06.2526239Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T08:57:06.2557072Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T08:57:06.2591637Z Entering 'third_party/kleidiai' 2025-12-04T08:57:06.2631222Z Entering 'third_party/mimalloc' 2025-12-04T08:57:06.2663764Z Entering 'third_party/nlohmann' 2025-12-04T08:57:06.2707287Z Entering 'third_party/onnx' 2025-12-04T08:57:06.3037618Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T08:57:06.3074717Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T08:57:06.3130391Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T08:57:06.3161790Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T08:57:06.3193893Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T08:57:06.3223548Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T08:57:06.3265265Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T08:57:06.3295858Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T08:57:06.3328406Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T08:57:06.3359596Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:57:06.3406664Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:57:06.3441575Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T08:57:06.3702798Z Entering 'third_party/pocketfft' 2025-12-04T08:57:06.3734648Z Entering 'third_party/protobuf' 2025-12-04T08:57:06.3813278Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T08:57:06.3844199Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T08:57:06.3880756Z Entering 'third_party/psimd' 2025-12-04T08:57:06.3911870Z Entering 'third_party/pthreadpool' 2025-12-04T08:57:06.3943129Z Entering 'third_party/pybind11' 2025-12-04T08:57:06.3986202Z Entering 'third_party/python-peachpy' 2025-12-04T08:57:06.4019314Z Entering 'third_party/sleef' 2025-12-04T08:57:06.4054160Z Entering 'third_party/tensorpipe' 2025-12-04T08:57:06.4087591Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T08:57:06.4120108Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T08:57:06.4149608Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T08:57:06.4185180Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T08:57:06.4215039Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T08:57:06.4379580Z Prepare all required actions 2025-12-04T08:57:06.4380151Z Getting action download info 2025-12-04T08:57:06.5986158Z ##[group]Run ./.github/actions/setup-linux 2025-12-04T08:57:06.5986479Z env: 2025-12-04T08:57:06.5986706Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:57:06.5986995Z ##[endgroup] 2025-12-04T08:57:06.6026066Z ##[group]Run set -euo pipefail 2025-12-04T08:57:06.6026427Z set -euo pipefail 2025-12-04T08:57:06.6026728Z function get_ec2_metadata() { 2025-12-04T08:57:06.6027117Z  # Pulled from instance metadata endpoint for EC2 2025-12-04T08:57:06.6027756Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-12-04T08:57:06.6028335Z  category=$1 2025-12-04T08:57:06.6028704Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-12-04T08:57:06.6029142Z  runner_name_str=i-08bea9f94b524e092 2025-12-04T08:57:06.6029543Z  if [[ -f /.inarc ]]; then 2025-12-04T08:57:06.6029884Z  echo "ARC Runner, no info on ec2 metadata" 2025-12-04T08:57:06.6030283Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-12-04T08:57:06.6030767Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-12-04T08:57:06.6031232Z  else 2025-12-04T08:57:06.6032102Z  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}" 2025-12-04T08:57:06.6033044Z  fi 2025-12-04T08:57:06.6033265Z } 2025-12-04T08:57:06.6033532Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-12-04T08:57:06.6033950Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-12-04T08:57:06.6034441Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-12-04T08:57:06.6034867Z echo "system info $(uname -a)" 2025-12-04T08:57:06.6040936Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:57:06.6041323Z env: 2025-12-04T08:57:06.6041539Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:57:06.6041790Z ##[endgroup] 2025-12-04T08:57:06.6183336Z ami-id: ami-08982f1c5bf93d976 2025-12-04T08:57:06.6286086Z instance-id: i-08bea9f94b524e092 2025-12-04T08:57:06.6384658Z instance-type: c5.4xlarge 2025-12-04T08:57:06.6394926Z system info Linux ip-10-0-67-132.ec2.internal 6.1.150-174.273.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Sep 9 12:21:26 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux 2025-12-04T08:57:06.6415341Z ##[group]Run if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi 2025-12-04T08:57:06.6415832Z if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi 2025-12-04T08:57:06.6422062Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:57:06.6422445Z env: 2025-12-04T08:57:06.6422668Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:57:06.6422922Z ##[endgroup] 2025-12-04T08:57:06.6464705Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:57:06.6465655Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:57:06.6471761Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:57:06.6472152Z env: 2025-12-04T08:57:06.6472375Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:57:06.6472640Z ##[endgroup] 2025-12-04T08:57:06.6649439Z ##[group]Run if systemctl is-active --quiet docker; then 2025-12-04T08:57:06.6649904Z if systemctl is-active --quiet docker; then 2025-12-04T08:57:06.6650512Z  echo "Docker daemon is running..."; 2025-12-04T08:57:06.6650851Z else 2025-12-04T08:57:06.6651206Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-12-04T08:57:06.6651645Z fi 2025-12-04T08:57:06.6657356Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:57:06.6657743Z env: 2025-12-04T08:57:06.6657953Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:57:06.6658223Z ##[endgroup] 2025-12-04T08:57:06.6771272Z Docker daemon is running... 2025-12-04T08:57:06.6810970Z ##[group]Run nick-fields/retry@v3.0.0 2025-12-04T08:57:06.6811307Z with: 2025-12-04T08:57:06.6811501Z shell: bash 2025-12-04T08:57:06.6811728Z timeout_minutes: 5 2025-12-04T08:57:06.6811975Z max_attempts: 3 2025-12-04T08:57:06.6812202Z retry_wait_seconds: 30 2025-12-04T08:57:06.6814575Z command: AWS_ACCOUNT_ID=$(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 2025-12-04T08:57:06.6816967Z polling_interval_seconds: 1 2025-12-04T08:57:06.6817263Z warning_on_retry: true 2025-12-04T08:57:06.6817534Z continue_on_error: false 2025-12-04T08:57:06.6817786Z env: 2025-12-04T08:57:06.6818003Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:57:06.6818274Z AWS_RETRY_MODE: standard 2025-12-04T08:57:06.6818528Z AWS_MAX_ATTEMPTS: 5 2025-12-04T08:57:06.6818786Z AWS_DEFAULT_REGION: us-east-1 2025-12-04T08:57:06.6819062Z ##[endgroup] 2025-12-04T08:57:07.9047507Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T08:57:07.9048341Z Configure a credential helper to remove this warning. See 2025-12-04T08:57:07.9049347Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T08:57:07.9049766Z 2025-12-04T08:57:07.9049873Z Login Succeeded 2025-12-04T08:57:08.8596481Z Command completed after 1 attempt(s). 2025-12-04T08:57:08.8661652Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:57:08.8662199Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:57:08.8662661Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:57:08.8670289Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:57:08.8670680Z env: 2025-12-04T08:57:08.8670891Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:57:08.8671157Z ##[endgroup] 2025-12-04T08:57:08.8754825Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T08:57:08.8755403Z # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T08:57:08.8755846Z # shellcheck disable=SC2046 2025-12-04T08:57:08.8756188Z docker stop $(docker ps -q) || true 2025-12-04T08:57:08.8756548Z # Prune all of the docker images 2025-12-04T08:57:08.8756891Z docker system prune -af 2025-12-04T08:57:08.8763251Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:57:08.8763854Z env: 2025-12-04T08:57:08.8764287Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:57:08.8764732Z ##[endgroup] 2025-12-04T08:57:08.9216095Z "docker stop" requires at least 1 argument. 2025-12-04T08:57:08.9217077Z See 'docker stop --help'. 2025-12-04T08:57:08.9217390Z 2025-12-04T08:57:08.9217683Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-12-04T08:57:08.9218216Z 2025-12-04T08:57:08.9218424Z Stop one or more running containers 2025-12-04T08:57:08.9416584Z Total reclaimed space: 0B 2025-12-04T08:57:08.9597828Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-12-04T08:57:08.9598330Z with: 2025-12-04T08:57:08.9599086Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:57:08.9599943Z use-custom-docker-registry: true 2025-12-04T08:57:08.9600262Z docker-build-dir: .ci/docker 2025-12-04T08:57:08.9600562Z docker-build-script: ./build.sh 2025-12-04T08:57:08.9600851Z working-directory: . 2025-12-04T08:57:08.9601210Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:57:08.9601638Z force-push: false 2025-12-04T08:57:08.9601857Z env: 2025-12-04T08:57:08.9602070Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:57:08.9602329Z ##[endgroup] 2025-12-04T08:57:08.9621119Z ##[group]Run set -ex 2025-12-04T08:57:08.9621421Z set -ex 2025-12-04T08:57:08.9621655Z  2025-12-04T08:57:08.9622109Z # If the docker build directory or the build script doesn't exist, the action will 2025-12-04T08:57:08.9622797Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-12-04T08:57:08.9623380Z # job could then download the pre-built image as usual 2025-12-04T08:57:08.9624088Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-12-04T08:57:08.9624739Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-12-04T08:57:08.9625077Z else 2025-12-04T08:57:08.9625340Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-12-04T08:57:08.9625806Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:57:08.9626209Z  2025-12-04T08:57:08.9626777Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-12-04T08:57:08.9627432Z  exit 0 2025-12-04T08:57:08.9627643Z fi 2025-12-04T08:57:08.9627852Z  2025-12-04T08:57:08.9628192Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-12-04T08:57:08.9628818Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-12-04T08:57:08.9629352Z  # use it as it is, but first let's extract the tag 2025-12-04T08:57:08.9629842Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-12-04T08:57:08.9630367Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:57:08.9630862Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:57:08.9631278Z else 2025-12-04T08:57:08.9631542Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-12-04T08:57:08.9631933Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-12-04T08:57:08.9632325Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-12-04T08:57:08.9632672Z  fi 2025-12-04T08:57:08.9633132Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-12-04T08:57:08.9633748Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:57:08.9634407Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:57:08.9635132Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:57:08.9635581Z fi 2025-12-04T08:57:08.9641583Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:57:08.9642119Z env: 2025-12-04T08:57:08.9642342Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:57:08.9642605Z REPO_NAME: pytorch 2025-12-04T08:57:08.9643484Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:57:08.9644455Z DOCKER_BUILD_DIR: .ci/docker 2025-12-04T08:57:08.9644752Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-12-04T08:57:08.9645133Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:57:08.9645551Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-12-04T08:57:08.9645854Z CUSTOM_TAG_PREFIX: 2025-12-04T08:57:08.9646090Z ##[endgroup] 2025-12-04T08:57:08.9672360Z + [[ -d .ci/docker ]] 2025-12-04T08:57:08.9672806Z + [[ -f .ci/docker/./build.sh ]] 2025-12-04T08:57:08.9673295Z + [[ true == \t\r\u\e ]] 2025-12-04T08:57:08.9673703Z + echo skip=false 2025-12-04T08:57:08.9675473Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a == *\3\0\8\5\3\5\3\8\5\1\1\4\.\d\k\r\.\e\c\r\.\u\s\-\e\a\s\t\-\1\.\a\m\a\z\o\n\a\w\s\.\c\o\m\/\p\y\t\o\r\c\h* ]] 2025-12-04T08:57:08.9679907Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:57:08.9681314Z ++ awk -F '[:,]' '{print $2}' 2025-12-04T08:57:08.9770144Z + DOCKER_TAG=pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:57:08.9770961Z + echo docker-tag=pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:57:08.9772161Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:57:08.9795215Z ##[group]Run set +e 2025-12-04T08:57:08.9795526Z set +e 2025-12-04T08:57:08.9795749Z set -x 2025-12-04T08:57:08.9795988Z  2025-12-04T08:57:08.9796202Z login() { 2025-12-04T08:57:08.9796677Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-12-04T08:57:08.9797213Z } 2025-12-04T08:57:08.9797427Z  2025-12-04T08:57:08.9797633Z retry () { 2025-12-04T08:57:08.9797911Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-12-04T08:57:08.9798234Z } 2025-12-04T08:57:08.9798432Z  2025-12-04T08:57:08.9798668Z retry login "${DOCKER_REGISTRY}" 2025-12-04T08:57:08.9798983Z  2025-12-04T08:57:08.9799203Z START_TIME=$(date +%s) 2025-12-04T08:57:08.9799494Z # Wait up to 120 minutes 2025-12-04T08:57:08.9799864Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-12-04T08:57:08.9800370Z  # Check if image already exists, if it does then skip building it 2025-12-04T08:57:08.9800869Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-12-04T08:57:08.9801255Z  exit 0 2025-12-04T08:57:08.9801500Z  fi 2025-12-04T08:57:08.9801709Z  2025-12-04T08:57:08.9802103Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-12-04T08:57:08.9802787Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-12-04T08:57:08.9803464Z  # latter, it will wait for the Docker images to become available before continuing 2025-12-04T08:57:08.9804102Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-12-04T08:57:08.9804520Z  # It's a Docker build job, let's build the image 2025-12-04T08:57:08.9804874Z  break 2025-12-04T08:57:08.9805110Z  else 2025-12-04T08:57:08.9805446Z  # It's a regular build job, wait for the image to become available 2025-12-04T08:57:08.9805872Z  sleep 300 2025-12-04T08:57:08.9806123Z  fi 2025-12-04T08:57:08.9806478Z done 2025-12-04T08:57:08.9806693Z  2025-12-04T08:57:08.9807048Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-12-04T08:57:08.9807625Z # be empty. The default action would be to continue rebuild the image 2025-12-04T08:57:08.9808264Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-12-04T08:57:08.9808733Z  # if we're on the base branch then use the parent commit 2025-12-04T08:57:08.9809146Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-12-04T08:57:08.9809453Z else 2025-12-04T08:57:08.9809786Z  # otherwise we're on a PR, so use the most recent base commit 2025-12-04T08:57:08.9810275Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-12-04T08:57:08.9810630Z fi 2025-12-04T08:57:08.9810842Z  2025-12-04T08:57:08.9811073Z if [[ -z "${MERGE_BASE}" ]]; then 2025-12-04T08:57:08.9811435Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-12-04T08:57:08.9811767Z  2025-12-04T08:57:08.9812245Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-12-04T08:57:08.9812814Z  exit 0 2025-12-04T08:57:08.9813029Z fi 2025-12-04T08:57:08.9813247Z  2025-12-04T08:57:08.9813552Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-12-04T08:57:08.9814253Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-12-04T08:57:08.9814847Z  exit 1 2025-12-04T08:57:08.9815070Z fi 2025-12-04T08:57:08.9815276Z  2025-12-04T08:57:08.9815631Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-12-04T08:57:08.9816312Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-12-04T08:57:08.9816921Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-12-04T08:57:08.9817622Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-12-04T08:57:08.9818407Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-12-04T08:57:08.9818876Z fi 2025-12-04T08:57:08.9819089Z  2025-12-04T08:57:08.9819340Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-12-04T08:57:08.9825112Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:57:08.9825499Z env: 2025-12-04T08:57:08.9825714Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:57:08.9825980Z DOCKER_BUILD_DIR: .ci/docker 2025-12-04T08:57:08.9826336Z BASE_REVISION: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:57:08.9827225Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:57:08.9828259Z DOCKER_TAG: pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:57:08.9828889Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:57:08.9829286Z DOCKER_PUSH: 2025-12-04T08:57:08.9829514Z ##[endgroup] 2025-12-04T08:57:08.9853425Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:57:08.9854125Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:57:08.9856170Z + aws ecr get-login-password --region us-east-1 2025-12-04T08:57:08.9857567Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:57:09.5060781Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T08:57:09.5061436Z Configure a credential helper to remove this warning. See 2025-12-04T08:57:09.5062051Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T08:57:09.5062454Z 2025-12-04T08:57:09.5062949Z Login Succeeded 2025-12-04T08:57:09.5077604Z ++ date +%s 2025-12-04T08:57:09.5087470Z + START_TIME=1764838629 2025-12-04T08:57:09.5090334Z ++ date +%s 2025-12-04T08:57:09.5099324Z + [[ 1764831429 -lt 1764838629 ]] 2025-12-04T08:57:09.5100799Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:57:09.7047328Z { 2025-12-04T08:57:09.7047791Z "schemaVersion": 2, 2025-12-04T08:57:09.7048543Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-12-04T08:57:09.7049262Z "config": { 2025-12-04T08:57:09.7049619Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-12-04T08:57:09.7050041Z "size": 33430, 2025-12-04T08:57:09.7050443Z "digest": "sha256:9230348e0d090da287e002774e5f183831a6591efe46e7a2cd9b593182913ca0" 2025-12-04T08:57:09.7050925Z }, 2025-12-04T08:57:09.7051127Z "layers": [ 2025-12-04T08:57:09.7051325Z { 2025-12-04T08:57:09.7051697Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:57:09.7052124Z "size": 30447951, 2025-12-04T08:57:09.7052555Z "digest": "sha256:63e5bc7682b85ae57a1221210f64d62e7a90b0a30f19af4ca734b8242ae49d63" 2025-12-04T08:57:09.7053020Z }, 2025-12-04T08:57:09.7053212Z { 2025-12-04T08:57:09.7053553Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:57:09.7053964Z "size": 1554, 2025-12-04T08:57:09.7054392Z "digest": "sha256:2bdc264cdc4f6c2b468a125ceee34cfe607bcf01d4c59b9d714db50c2c2dfcaf" 2025-12-04T08:57:09.7054886Z }, 2025-12-04T08:57:09.7055070Z { 2025-12-04T08:57:09.7055398Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:57:09.7055821Z "size": 344035888, 2025-12-04T08:57:09.7056240Z "digest": "sha256:115cf171feabfac79566e4d2186bc524712830f75b1f7de122da0374a34097aa" 2025-12-04T08:57:09.7056721Z }, 2025-12-04T08:57:09.7056911Z { 2025-12-04T08:57:09.7057225Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:57:09.7057653Z "size": 787, 2025-12-04T08:57:09.7058064Z "digest": "sha256:5b05a77115246ccbdd308930206f9a9e87375c674e9e9b4a44180ce30cf4a843" 2025-12-04T08:57:09.7058537Z }, 2025-12-04T08:57:09.7058710Z { 2025-12-04T08:57:09.7059041Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:57:09.7059466Z "size": 63270230, 2025-12-04T08:57:09.7059876Z "digest": "sha256:fcd42f64ca0d7b21614aeb546be58a861067501142882d3122a953510d16df2e" 2025-12-04T08:57:09.7060351Z }, 2025-12-04T08:57:09.7060542Z { 2025-12-04T08:57:09.7060854Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:57:09.7061276Z "size": 703, 2025-12-04T08:57:09.7061683Z "digest": "sha256:425e64947d6cf9847d282b38552930885c77b8243af9d743f10dce164271997a" 2025-12-04T08:57:09.7062139Z }, 2025-12-04T08:57:09.7062328Z { 2025-12-04T08:57:09.7062651Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:57:09.7063078Z "size": 1216, 2025-12-04T08:57:09.7063487Z "digest": "sha256:100a3aae6100e6e6852b14febb7cddf3e5e02207fff2b64107fa85ed0584c817" 2025-12-04T08:57:09.7063970Z }, 2025-12-04T08:57:09.7064159Z { 2025-12-04T08:57:09.7064481Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:57:09.7065058Z "size": 484, 2025-12-04T08:57:09.7065698Z "digest": "sha256:612b903d2bcfd678c8aa61e40eac9f1a789a3c99d27c1595e7306d8dd12b6a5a" 2025-12-04T08:57:09.7066525Z }, 2025-12-04T08:57:09.7066824Z { 2025-12-04T08:57:09.7067157Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:57:09.7067581Z "size": 110, 2025-12-04T08:57:09.7067991Z "digest": "sha256:46ce886716adae830e198f2118e23831af0dcdc8dd161c2cd9bf937a74ac098d" 2025-12-04T08:57:09.7068481Z }, 2025-12-04T08:57:09.7068672Z { 2025-12-04T08:57:09.7068990Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:57:09.7069626Z "size": 4961, 2025-12-04T08:57:09.7070046Z "digest": "sha256:1c8bfbaf902d1d6689201aede8d19c4be43b2d3046ec64500f6b349a94a31533" 2025-12-04T08:57:09.7070521Z }, 2025-12-04T08:57:09.7070814Z + exit 0 2025-12-04T08:57:09.7071018Z { 2025-12-04T08:57:09.7071504Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:57:09.7071924Z "size": 1755, 2025-12-04T08:57:09.7072344Z "digest": "sha256:9b31e0487376858dd1886531c89ec2ef09558333cbb6e36150e2671f0bcb6566" 2025-12-04T08:57:09.7072824Z }, 2025-12-04T08:57:09.7073005Z { 2025-12-04T08:57:09.7073339Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:57:09.7073770Z "size": 724, 2025-12-04T08:57:09.7074173Z "digest": "sha256:6953b231bee7ad90292e65ed676721d4139c3d2711ca31fb7c568d9264db3853" 2025-12-04T08:57:09.7074651Z }, 2025-12-04T08:57:09.7074845Z { 2025-12-04T08:57:09.7075166Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:57:09.7075593Z "size": 543, 2025-12-04T08:57:09.7076014Z "digest": "sha256:3ab87ad78d73fd1c8707f47d43dbfae0107551e197b09c5492bbea5491a27355" 2025-12-04T08:57:09.7076498Z }, 2025-12-04T08:57:09.7076676Z { 2025-12-04T08:57:09.7077006Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:57:09.7077432Z "size": 3185209034, 2025-12-04T08:57:09.7077847Z "digest": "sha256:8257a98b845d783ac5f82f6e6a2c1c299137ca2f035ed75606809644852965b5" 2025-12-04T08:57:09.7078330Z }, 2025-12-04T08:57:09.7078526Z { 2025-12-04T08:57:09.7078841Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:57:09.7079272Z "size": 32, 2025-12-04T08:57:09.7079688Z "digest": 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"sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:57:09.7183152Z }, 2025-12-04T08:57:09.7183330Z { 2025-12-04T08:57:09.7183657Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:57:09.7184077Z "size": 188, 2025-12-04T08:57:09.7184485Z "digest": "sha256:41b115f8be476bc252b71efe60566cfba2db6403a77adb5ca82ce11f5e1295ac" 2025-12-04T08:57:09.7184973Z }, 2025-12-04T08:57:09.7185164Z { 2025-12-04T08:57:09.7185474Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:57:09.7185900Z "size": 1370, 2025-12-04T08:57:09.7186317Z "digest": "sha256:7399c8cd32ca7fe9680b0088318c2e4ea1f5beb31b75772a170d7e8feac63821" 2025-12-04T08:57:09.7186799Z }, 2025-12-04T08:57:09.7186975Z { 2025-12-04T08:57:09.7187301Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:57:09.7187720Z "size": 32, 2025-12-04T08:57:09.7188122Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:57:09.7188608Z }, 2025-12-04T08:57:09.7188797Z { 2025-12-04T08:57:09.7189109Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:57:09.7189529Z "size": 137, 2025-12-04T08:57:09.7189944Z "digest": "sha256:34aff6bc20c5e4c942276e1050b28cfc3980fc14e294ead0c67218f6254909d1" 2025-12-04T08:57:09.7190416Z }, 2025-12-04T08:57:09.7190604Z { 2025-12-04T08:57:09.7190931Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:57:09.7191341Z "size": 528, 2025-12-04T08:57:09.7191757Z "digest": "sha256:6eeec0cffa97803124135d151715c3ef6a54aeda04c7ffe3a101748eb64becc7" 2025-12-04T08:57:09.7192243Z }, 2025-12-04T08:57:09.7192439Z { 2025-12-04T08:57:09.7192753Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:57:09.7193176Z "size": 32, 2025-12-04T08:57:09.7193591Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:57:09.7194072Z }, 2025-12-04T08:57:09.7194264Z { 2025-12-04T08:57:09.7194591Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:57:09.7195002Z "size": 104, 2025-12-04T08:57:09.7195396Z "digest": "sha256:c5048b3472945ed3d9194f0372e4e8f94362374679eff08dd221eb4e068c2769" 2025-12-04T08:57:09.7195876Z }, 2025-12-04T08:57:09.7196057Z { 2025-12-04T08:57:09.7196384Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:57:09.7196808Z "size": 434, 2025-12-04T08:57:09.7197214Z "digest": "sha256:74aada1bfa724f988c151caf94809f50b14c7b90cc3d757a69907562aad459d3" 2025-12-04T08:57:09.7197695Z }, 2025-12-04T08:57:09.7197884Z { 2025-12-04T08:57:09.7198208Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:57:09.7198615Z "size": 32, 2025-12-04T08:57:09.7199028Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:57:09.7199511Z }, 2025-12-04T08:57:09.7199691Z { 2025-12-04T08:57:09.7200105Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:57:09.7200526Z "size": 109, 2025-12-04T08:57:09.7200928Z "digest": "sha256:6bc9ed03a494e435a5c460cee2772d26c065f2831678f04eca248dea730d8b60" 2025-12-04T08:57:09.7201412Z }, 2025-12-04T08:57:09.7201606Z { 2025-12-04T08:57:09.7201991Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:57:09.7202418Z "size": 1896, 2025-12-04T08:57:09.7202836Z "digest": "sha256:730c07fd577ca83f5201d62fac3f1dcefb2b71fc568f98765df4e794f994781f" 2025-12-04T08:57:09.7203319Z }, 2025-12-04T08:57:09.7203494Z { 2025-12-04T08:57:09.7203821Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:57:09.7204372Z "size": 245546809, 2025-12-04T08:57:09.7204802Z "digest": "sha256:9fedeeb9aece1f1d6b052d83528ffa0303d0b3b29bfb0c2321a831dda6bd489a" 2025-12-04T08:57:09.7205297Z }, 2025-12-04T08:57:09.7205489Z { 2025-12-04T08:57:09.7205802Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:57:09.7206230Z "size": 106, 2025-12-04T08:57:09.7206628Z "digest": "sha256:81988d624119ed48481ab53b795c15832006144e52e166a6fc3b7f545edef5a9" 2025-12-04T08:57:09.7207087Z }, 2025-12-04T08:57:09.7207278Z { 2025-12-04T08:57:09.7207606Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:57:09.7208014Z "size": 165, 2025-12-04T08:57:09.7208428Z "digest": "sha256:d5e99f982abd684e102d12ac377ff37a34742167f3a353eb5aa7e1ce69ef8949" 2025-12-04T08:57:09.7208915Z }, 2025-12-04T08:57:09.7209107Z { 2025-12-04T08:57:09.7209425Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:57:09.7209848Z "size": 7943, 2025-12-04T08:57:09.7210274Z "digest": "sha256:42ec79e4711cd8f3a6d41b84dbd1154a9b70e562deedfd5cfa2a0d0cdcc4f7f3" 2025-12-04T08:57:09.7210751Z }, 2025-12-04T08:57:09.7210941Z { 2025-12-04T08:57:09.7211266Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:57:09.7211682Z "size": 8074, 2025-12-04T08:57:09.7212096Z "digest": "sha256:92524d4de2c39bf603b93ebe6a461571a2d4cbe2a5091c770677b6777e52f2f4" 2025-12-04T08:57:09.7212574Z }, 2025-12-04T08:57:09.7212754Z { 2025-12-04T08:57:09.7213090Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:57:09.7213515Z "size": 304, 2025-12-04T08:57:09.7213930Z "digest": "sha256:0ce87beece3b4eaa1ac9e2353833cefbd9ca2b05f2f62f0f2ccf5d14841d3768" 2025-12-04T08:57:09.7214431Z }, 2025-12-04T08:57:09.7214625Z { 2025-12-04T08:57:09.7214954Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:57:09.7215361Z "size": 32, 2025-12-04T08:57:09.7215780Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:57:09.7216267Z }, 2025-12-04T08:57:09.7216442Z { 2025-12-04T08:57:09.7216767Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:57:09.7217187Z "size": 108, 2025-12-04T08:57:09.7217591Z "digest": "sha256:ea7a8d4389fa815f978ecf87846e3c933bbea0d5030a2d2cc37b1bb8d8c1cbe3" 2025-12-04T08:57:09.7218078Z }, 2025-12-04T08:57:09.7218269Z { 2025-12-04T08:57:09.7218583Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:57:09.7219011Z "size": 54145652, 2025-12-04T08:57:09.7219436Z "digest": "sha256:fd0af076fa046b12bd78498b0e41b8560d7246959edfe2f70871b35583edcfe2" 2025-12-04T08:57:09.7219917Z }, 2025-12-04T08:57:09.7220094Z { 2025-12-04T08:57:09.7220420Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:57:09.7220843Z "size": 32, 2025-12-04T08:57:09.7221243Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:57:09.7221723Z } 2025-12-04T08:57:09.7221909Z ] 2025-12-04T08:57:09.7222090Z } 2025-12-04T08:57:09.7248022Z ##[group]Run set -eux 2025-12-04T08:57:09.7248302Z set -eux 2025-12-04T08:57:09.7248708Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-12-04T08:57:09.7250224Z 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 2025-12-04T08:57:09.7257098Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:57:09.7257477Z env: 2025-12-04T08:57:09.7257677Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:57:09.7257936Z ##[endgroup] 2025-12-04T08:57:09.7285177Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-12-04T08:57:09.7286121Z + jq --raw-output .SecretString 2025-12-04T08:57:09.7287195Z + jq -r .docker_hub_readonly_token 2025-12-04T08:57:09.7288357Z + docker login --username pytorchbot --password-stdin 2025-12-04T08:57:10.2844825Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T08:57:10.2845483Z Configure a credential helper to remove this warning. See 2025-12-04T08:57:10.2846385Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T08:57:10.2846788Z 2025-12-04T08:57:10.2846912Z Login Succeeded 2025-12-04T08:57:10.2929515Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-12-04T08:57:10.2929903Z tag=${ECR_DOCKER_IMAGE##*:} 2025-12-04T08:57:10.2930311Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-12-04T08:57:10.2936400Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:57:10.2936786Z env: 2025-12-04T08:57:10.2937008Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:57:10.2937812Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:57:10.2938625Z ##[endgroup] 2025-12-04T08:57:10.2965585Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:57:10.3011313Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-12-04T08:57:10.3011760Z with: 2025-12-04T08:57:10.3012498Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:57:10.3013419Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:57:10.3013818Z env: 2025-12-04T08:57:10.3014022Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:57:10.3014291Z ##[endgroup] 2025-12-04T08:57:10.3028829Z ##[group]Run set -x 2025-12-04T08:57:10.3029119Z set -x 2025-12-04T08:57:10.3029342Z set +e 2025-12-04T08:57:10.3029575Z  2025-12-04T08:57:10.3029794Z login() { 2025-12-04T08:57:10.3030271Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-12-04T08:57:10.3030811Z } 2025-12-04T08:57:10.3031027Z  2025-12-04T08:57:10.3031278Z retry () { 2025-12-04T08:57:10.3031560Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-12-04T08:57:10.3031888Z } 2025-12-04T08:57:10.3032099Z  2025-12-04T08:57:10.3032336Z retry login "${DOCKER_REGISTRY}" 2025-12-04T08:57:10.3032642Z  2025-12-04T08:57:10.3033145Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-12-04T08:57:10.3033830Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-12-04T08:57:10.3034202Z  2025-12-04T08:57:10.3034411Z set -e 2025-12-04T08:57:10.3034755Z # ignore output since only exit code is used for conditional 2025-12-04T08:57:10.3035260Z # only pull docker image if it's not available locally 2025-12-04T08:57:10.3035805Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-12-04T08:57:10.3036327Z  retry docker pull "${DOCKER_IMAGE}" 2025-12-04T08:57:10.3036791Z fi 2025-12-04T08:57:10.3042429Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:57:10.3042819Z env: 2025-12-04T08:57:10.3043041Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:57:10.3043811Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:57:10.3044840Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:57:10.3045242Z ##[endgroup] 2025-12-04T08:57:10.3068767Z + set +e 2025-12-04T08:57:10.3069398Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:57:10.3069871Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:57:10.3072401Z + aws ecr get-login-password --region us-east-1 2025-12-04T08:57:10.3073483Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:57:10.8176778Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T08:57:10.8177450Z Configure a credential helper to remove this warning. See 2025-12-04T08:57:10.8178047Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T08:57:10.8178448Z 2025-12-04T08:57:10.8178545Z Login Succeeded 2025-12-04T08:57:10.8196173Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:57:10.8197106Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-12-04T08:57:11.0118487Z + IMAGE_SIZE=8075.145185470581 2025-12-04T08:57:11.0118912Z + echo 'Compressed size of image in MB: 8075.145185470581' 2025-12-04T08:57:11.0119299Z + set -e 2025-12-04T08:57:11.0120094Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:57:11.0121267Z Compressed size of image in MB: 8075.145185470581 2025-12-04T08:57:11.0238271Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:57:11.0239628Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:57:11.2301864Z pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a: Pulling from pytorch/ci-image 2025-12-04T08:57:11.2303149Z 63e5bc7682b8: Pulling fs layer 2025-12-04T08:57:11.2303495Z 2bdc264cdc4f: Pulling fs layer 2025-12-04T08:57:11.2303951Z 115cf171feab: Pulling fs layer 2025-12-04T08:57:11.2304341Z 5b05a7711524: Pulling fs layer 2025-12-04T08:57:11.2304704Z fcd42f64ca0d: Pulling fs layer 2025-12-04T08:57:11.2305001Z 425e64947d6c: Pulling fs layer 2025-12-04T08:57:11.2305290Z 100a3aae6100: Pulling fs layer 2025-12-04T08:57:11.2305577Z 612b903d2bcf: Pulling fs layer 2025-12-04T08:57:11.2305900Z 46ce886716ad: Pulling fs layer 2025-12-04T08:57:11.2306184Z 1c8bfbaf902d: Pulling fs layer 2025-12-04T08:57:11.2306531Z 9b31e0487376: Pulling fs layer 2025-12-04T08:57:11.2306818Z 6953b231bee7: Pulling fs layer 2025-12-04T08:57:11.2307107Z 3ab87ad78d73: Pulling fs layer 2025-12-04T08:57:11.2307483Z 8257a98b845d: Pulling fs layer 2025-12-04T08:57:11.2307770Z 4f4fb700ef54: Pulling fs layer 2025-12-04T08:57:11.2308055Z b62945c9f514: Pulling fs layer 2025-12-04T08:57:11.2308339Z 9937844df950: Pulling fs layer 2025-12-04T08:57:11.2308599Z 46ce886716ad: Waiting 2025-12-04T08:57:11.2308862Z fbe95c3f2a7b: Pulling fs layer 2025-12-04T08:57:11.2309144Z 1c8bfbaf902d: Waiting 2025-12-04T08:57:11.2309389Z 9eb542f62aba: Pulling fs layer 2025-12-04T08:57:11.2309679Z f02e832d75f8: Pulling fs layer 2025-12-04T08:57:11.2310057Z 3903a9ad3d76: Pulling fs layer 2025-12-04T08:57:11.2310393Z a0292ad489a3: Pulling fs layer 2025-12-04T08:57:11.2310844Z 12069b3fcf8c: Pulling fs layer 2025-12-04T08:57:11.2311342Z 2275dbef393d: Pulling fs layer 2025-12-04T08:57:11.2312097Z 9dbaa39228bc: Pulling fs layer 2025-12-04T08:57:11.2312572Z 3ab87ad78d73: Waiting 2025-12-04T08:57:11.2312900Z be92a230a00c: Pulling fs layer 2025-12-04T08:57:11.2313177Z 73deb6f0a6ab: Pulling fs layer 2025-12-04T08:57:11.2313506Z 72f01d0cf7ef: Pulling fs layer 2025-12-04T08:57:11.2313909Z 0f286b2a7194: Pulling fs layer 2025-12-04T08:57:11.2314190Z 51b637823017: Pulling fs layer 2025-12-04T08:57:11.2314593Z 4a15d31ad80a: Pulling fs layer 2025-12-04T08:57:11.2315003Z ab2d7d7e8213: Pulling fs layer 2025-12-04T08:57:11.2315288Z a018f7b3679a: Pulling fs layer 2025-12-04T08:57:11.2315562Z 362e0dccf2f0: Pulling fs layer 2025-12-04T08:57:11.2315968Z 5953c2c159dd: Pulling fs layer 2025-12-04T08:57:11.2316317Z 21e8a9646ab6: Pulling fs layer 2025-12-04T08:57:11.2316612Z 8160cca6d225: Pulling fs layer 2025-12-04T08:57:11.2316883Z 1a1b1db5b49e: Pulling fs layer 2025-12-04T08:57:11.2317363Z 46ee854fbdd2: Pulling fs layer 2025-12-04T08:57:11.2317836Z d2f223d0137c: Pulling fs layer 2025-12-04T08:57:11.2318286Z 0320ff66ea89: Pulling fs layer 2025-12-04T08:57:11.2319138Z 56b9e2365b4c: Pulling fs layer 2025-12-04T08:57:11.2319585Z 8b1662227a6f: Pulling fs layer 2025-12-04T08:57:11.2320013Z a57851e53817: Pulling fs layer 2025-12-04T08:57:11.2320305Z d2b76217fa98: Pulling fs layer 2025-12-04T08:57:11.2320695Z 536d15c16b43: Pulling fs layer 2025-12-04T08:57:11.2320970Z e3bd8da1ed60: Pulling fs layer 2025-12-04T08:57:11.2321264Z ef7fd639bc4c: Pulling fs layer 2025-12-04T08:57:11.2321549Z 3a9bb9325d80: Pulling fs layer 2025-12-04T08:57:11.2321816Z 491116c1a7fa: Pulling fs layer 2025-12-04T08:57:11.2322100Z 1d63bda3c92d: Pulling fs layer 2025-12-04T08:57:11.2322386Z 2dfbb731242a: Pulling fs layer 2025-12-04T08:57:11.2322669Z 41b115f8be47: Pulling fs layer 2025-12-04T08:57:11.2322939Z 7399c8cd32ca: Pulling fs layer 2025-12-04T08:57:11.2323211Z 612b903d2bcf: Waiting 2025-12-04T08:57:11.2323452Z 5b05a7711524: Waiting 2025-12-04T08:57:11.2323691Z 34aff6bc20c5: Pulling fs layer 2025-12-04T08:57:11.2324261Z 425e64947d6c: Waiting 2025-12-04T08:57:11.2324514Z fcd42f64ca0d: Waiting 2025-12-04T08:57:11.2324743Z a0292ad489a3: Waiting 2025-12-04T08:57:11.2324998Z 6eeec0cffa97: Pulling fs layer 2025-12-04T08:57:11.2325270Z 9937844df950: Waiting 2025-12-04T08:57:11.2325609Z 6953b231bee7: Waiting 2025-12-04T08:57:11.2325851Z fbe95c3f2a7b: Waiting 2025-12-04T08:57:11.2326222Z 8257a98b845d: Waiting 2025-12-04T08:57:11.2326447Z 2275dbef393d: Waiting 2025-12-04T08:57:11.2326866Z 9b31e0487376: Waiting 2025-12-04T08:57:11.2327103Z 4f4fb700ef54: Waiting 2025-12-04T08:57:11.2327326Z b62945c9f514: Waiting 2025-12-04T08:57:11.2327564Z 9eb542f62aba: Waiting 2025-12-04T08:57:11.2327831Z 3903a9ad3d76: Waiting 2025-12-04T08:57:11.2328107Z f02e832d75f8: Waiting 2025-12-04T08:57:11.2328333Z ef7fd639bc4c: Waiting 2025-12-04T08:57:11.2328572Z 100a3aae6100: Waiting 2025-12-04T08:57:11.2328809Z be92a230a00c: Waiting 2025-12-04T08:57:11.2329033Z 41b115f8be47: Waiting 2025-12-04T08:57:11.2329271Z 1d63bda3c92d: Waiting 2025-12-04T08:57:11.2329526Z 536d15c16b43: Waiting 2025-12-04T08:57:11.2329752Z 7399c8cd32ca: Waiting 2025-12-04T08:57:11.2330004Z c5048b347294: Pulling fs layer 2025-12-04T08:57:11.2330280Z 8160cca6d225: Waiting 2025-12-04T08:57:11.2330512Z 4a15d31ad80a: Waiting 2025-12-04T08:57:11.2330750Z 56b9e2365b4c: Waiting 2025-12-04T08:57:11.2331002Z 74aada1bfa72: Pulling fs layer 2025-12-04T08:57:11.2331266Z 3a9bb9325d80: Waiting 2025-12-04T08:57:11.2331500Z d2b76217fa98: Waiting 2025-12-04T08:57:11.2331737Z 34aff6bc20c5: Waiting 2025-12-04T08:57:11.2331977Z 6bc9ed03a494: Pulling fs layer 2025-12-04T08:57:11.2332262Z 730c07fd577c: Pulling fs layer 2025-12-04T08:57:11.2332628Z 9fedeeb9aece: Pulling fs layer 2025-12-04T08:57:11.2332913Z ab2d7d7e8213: Waiting 2025-12-04T08:57:11.2333145Z a018f7b3679a: Waiting 2025-12-04T08:57:11.2333396Z 81988d624119: Pulling fs layer 2025-12-04T08:57:11.2333670Z c5048b347294: Waiting 2025-12-04T08:57:11.2333900Z 2dfbb731242a: Waiting 2025-12-04T08:57:11.2334159Z d5e99f982abd: Pulling fs layer 2025-12-04T08:57:11.2334611Z 362e0dccf2f0: Waiting 2025-12-04T08:57:11.2334853Z 42ec79e4711c: Pulling fs layer 2025-12-04T08:57:11.2335142Z 92524d4de2c3: Pulling fs layer 2025-12-04T08:57:11.2335414Z a57851e53817: Waiting 2025-12-04T08:57:11.2335642Z 74aada1bfa72: Waiting 2025-12-04T08:57:11.2335976Z 6eeec0cffa97: Waiting 2025-12-04T08:57:11.2336216Z 0320ff66ea89: Waiting 2025-12-04T08:57:11.2336539Z 0ce87beece3b: Pulling fs layer 2025-12-04T08:57:11.2336821Z 46ee854fbdd2: Waiting 2025-12-04T08:57:11.2337074Z ea7a8d4389fa: Pulling fs layer 2025-12-04T08:57:11.2337337Z 6bc9ed03a494: Waiting 2025-12-04T08:57:11.2337580Z 9dbaa39228bc: Waiting 2025-12-04T08:57:11.2337819Z 730c07fd577c: Waiting 2025-12-04T08:57:11.2338054Z fd0af076fa04: Pulling fs layer 2025-12-04T08:57:11.2338337Z 9fedeeb9aece: Waiting 2025-12-04T08:57:11.2338580Z d2f223d0137c: Waiting 2025-12-04T08:57:11.2338814Z 81988d624119: Waiting 2025-12-04T08:57:11.2339037Z 72f01d0cf7ef: Waiting 2025-12-04T08:57:11.2339268Z 92524d4de2c3: Waiting 2025-12-04T08:57:11.2339529Z 12069b3fcf8c: Waiting 2025-12-04T08:57:11.2339770Z 0ce87beece3b: Waiting 2025-12-04T08:57:11.2340001Z 0f286b2a7194: Waiting 2025-12-04T08:57:11.2340242Z ea7a8d4389fa: Waiting 2025-12-04T08:57:11.2340484Z fd0af076fa04: Waiting 2025-12-04T08:57:11.2340711Z 51b637823017: Waiting 2025-12-04T08:57:11.2340951Z 42ec79e4711c: Waiting 2025-12-04T08:57:11.2341191Z 21e8a9646ab6: Waiting 2025-12-04T08:57:11.2341422Z e3bd8da1ed60: Waiting 2025-12-04T08:57:11.2341667Z 8b1662227a6f: Waiting 2025-12-04T08:57:11.2341909Z 1a1b1db5b49e: Waiting 2025-12-04T08:57:11.2342142Z 491116c1a7fa: Waiting 2025-12-04T08:57:11.2342389Z 73deb6f0a6ab: Waiting 2025-12-04T08:57:11.3166020Z 2bdc264cdc4f: Verifying Checksum 2025-12-04T08:57:11.3166595Z 2bdc264cdc4f: Download complete 2025-12-04T08:57:11.4156044Z 5b05a7711524: Verifying Checksum 2025-12-04T08:57:11.4156579Z 5b05a7711524: Download complete 2025-12-04T08:57:11.6219110Z 63e5bc7682b8: Download complete 2025-12-04T08:57:11.7117698Z 425e64947d6c: Download complete 2025-12-04T08:57:11.7756472Z 100a3aae6100: Verifying Checksum 2025-12-04T08:57:11.7757073Z 100a3aae6100: Download complete 2025-12-04T08:57:11.8616993Z 612b903d2bcf: Verifying Checksum 2025-12-04T08:57:11.8617565Z 612b903d2bcf: Download complete 2025-12-04T08:57:11.9266881Z 46ce886716ad: Verifying Checksum 2025-12-04T08:57:11.9267420Z 46ce886716ad: Download complete 2025-12-04T08:57:11.9987727Z 1c8bfbaf902d: Verifying Checksum 2025-12-04T08:57:11.9988396Z 1c8bfbaf902d: Download complete 2025-12-04T08:57:12.0824484Z 9b31e0487376: Download complete 2025-12-04T08:57:12.1018034Z fcd42f64ca0d: Verifying Checksum 2025-12-04T08:57:12.1018426Z fcd42f64ca0d: Download complete 2025-12-04T08:57:12.1755259Z 6953b231bee7: Verifying Checksum 2025-12-04T08:57:12.1755634Z 6953b231bee7: Download complete 2025-12-04T08:57:12.1809116Z 3ab87ad78d73: Verifying Checksum 2025-12-04T08:57:12.1869702Z 4f4fb700ef54: Verifying Checksum 2025-12-04T08:57:12.1870015Z 4f4fb700ef54: Download complete 2025-12-04T08:57:12.2500267Z b62945c9f514: Verifying Checksum 2025-12-04T08:57:12.2500720Z b62945c9f514: Download complete 2025-12-04T08:57:12.3244588Z 9937844df950: Verifying Checksum 2025-12-04T08:57:12.3245130Z 9937844df950: Download complete 2025-12-04T08:57:12.4000564Z fbe95c3f2a7b: Verifying Checksum 2025-12-04T08:57:12.4000995Z fbe95c3f2a7b: Download complete 2025-12-04T08:57:12.4724985Z 63e5bc7682b8: Pull complete 2025-12-04T08:57:12.4940081Z 2bdc264cdc4f: Pull complete 2025-12-04T08:57:12.5073658Z 9eb542f62aba: Verifying Checksum 2025-12-04T08:57:12.5074030Z 9eb542f62aba: Download complete 2025-12-04T08:57:12.5894142Z f02e832d75f8: Verifying Checksum 2025-12-04T08:57:12.5894628Z f02e832d75f8: Download complete 2025-12-04T08:57:12.6689768Z 3903a9ad3d76: Download complete 2025-12-04T08:57:12.7508311Z a0292ad489a3: Verifying Checksum 2025-12-04T08:57:12.7508840Z a0292ad489a3: Download complete 2025-12-04T08:57:12.8200692Z 12069b3fcf8c: Verifying Checksum 2025-12-04T08:57:12.8201243Z 12069b3fcf8c: Download complete 2025-12-04T08:57:12.8921201Z 2275dbef393d: Verifying Checksum 2025-12-04T08:57:12.8921987Z 2275dbef393d: Download complete 2025-12-04T08:57:12.9721064Z 9dbaa39228bc: Download complete 2025-12-04T08:57:13.0645938Z be92a230a00c: Download complete 2025-12-04T08:57:13.1383750Z 73deb6f0a6ab: Verifying Checksum 2025-12-04T08:57:13.1384138Z 73deb6f0a6ab: Download complete 2025-12-04T08:57:14.7164545Z 115cf171feab: Verifying Checksum 2025-12-04T08:57:14.7164939Z 115cf171feab: Download complete 2025-12-04T08:57:14.7842001Z 0f286b2a7194: Verifying Checksum 2025-12-04T08:57:14.7842472Z 0f286b2a7194: Download complete 2025-12-04T08:57:14.8545398Z 51b637823017: Verifying Checksum 2025-12-04T08:57:14.8545888Z 51b637823017: Download complete 2025-12-04T08:57:14.9424596Z 4a15d31ad80a: Download complete 2025-12-04T08:57:15.0149823Z ab2d7d7e8213: Download complete 2025-12-04T08:57:15.2525379Z a018f7b3679a: Verifying Checksum 2025-12-04T08:57:15.2525764Z a018f7b3679a: Download complete 2025-12-04T08:57:15.3268102Z 362e0dccf2f0: Verifying Checksum 2025-12-04T08:57:15.3268542Z 362e0dccf2f0: Download complete 2025-12-04T08:57:15.4045882Z 5953c2c159dd: Verifying Checksum 2025-12-04T08:57:15.4046244Z 5953c2c159dd: Download complete 2025-12-04T08:57:15.5047662Z 21e8a9646ab6: Verifying Checksum 2025-12-04T08:57:15.5048077Z 21e8a9646ab6: Download complete 2025-12-04T08:57:15.5985337Z 8160cca6d225: Download complete 2025-12-04T08:57:15.6598397Z 1a1b1db5b49e: Verifying Checksum 2025-12-04T08:57:15.6598789Z 1a1b1db5b49e: Download complete 2025-12-04T08:57:15.7312852Z 46ee854fbdd2: Download complete 2025-12-04T08:57:15.7941264Z d2f223d0137c: Download complete 2025-12-04T08:57:15.8685072Z 0320ff66ea89: Verifying Checksum 2025-12-04T08:57:15.8685450Z 0320ff66ea89: Download complete 2025-12-04T08:57:17.7664508Z 72f01d0cf7ef: Verifying Checksum 2025-12-04T08:57:17.7664888Z 72f01d0cf7ef: Download complete 2025-12-04T08:57:22.4688247Z 56b9e2365b4c: Verifying Checksum 2025-12-04T08:57:22.4688628Z 56b9e2365b4c: Download complete 2025-12-04T08:57:22.5356758Z a57851e53817: Verifying Checksum 2025-12-04T08:57:22.5357171Z a57851e53817: Download complete 2025-12-04T08:57:22.5961364Z d2b76217fa98: Verifying Checksum 2025-12-04T08:57:22.5972650Z d2b76217fa98: Download complete 2025-12-04T08:57:22.6729825Z 536d15c16b43: Verifying Checksum 2025-12-04T08:57:22.6730188Z 536d15c16b43: Download complete 2025-12-04T08:57:22.7781641Z e3bd8da1ed60: Verifying Checksum 2025-12-04T08:57:22.7782036Z e3bd8da1ed60: Download complete 2025-12-04T08:57:22.8429814Z ef7fd639bc4c: Verifying Checksum 2025-12-04T08:57:22.8430202Z ef7fd639bc4c: Download complete 2025-12-04T08:57:22.9858977Z 3a9bb9325d80: Download complete 2025-12-04T08:57:23.0441353Z 491116c1a7fa: Verifying Checksum 2025-12-04T08:57:23.0441729Z 491116c1a7fa: Download complete 2025-12-04T08:57:23.1126225Z 1d63bda3c92d: Verifying Checksum 2025-12-04T08:57:23.1126571Z 1d63bda3c92d: Download complete 2025-12-04T08:57:23.1188472Z 115cf171feab: Pull complete 2025-12-04T08:57:23.1782738Z 2dfbb731242a: Verifying Checksum 2025-12-04T08:57:23.1783165Z 2dfbb731242a: Download complete 2025-12-04T08:57:23.2501430Z 41b115f8be47: Verifying Checksum 2025-12-04T08:57:23.2501811Z 41b115f8be47: Download complete 2025-12-04T08:57:23.2700822Z 5b05a7711524: Pull complete 2025-12-04T08:57:23.3301593Z 7399c8cd32ca: Verifying Checksum 2025-12-04T08:57:23.3302135Z 7399c8cd32ca: Download complete 2025-12-04T08:57:23.3915955Z 34aff6bc20c5: Verifying Checksum 2025-12-04T08:57:23.4651438Z 6eeec0cffa97: Verifying Checksum 2025-12-04T08:57:23.4651832Z 6eeec0cffa97: Download complete 2025-12-04T08:57:23.7621442Z c5048b347294: Verifying Checksum 2025-12-04T08:57:23.7621869Z c5048b347294: Download complete 2025-12-04T08:57:23.8522028Z 74aada1bfa72: Verifying Checksum 2025-12-04T08:57:23.8522425Z 74aada1bfa72: Download complete 2025-12-04T08:57:23.9116812Z 6bc9ed03a494: Verifying Checksum 2025-12-04T08:57:23.9117179Z 6bc9ed03a494: Download complete 2025-12-04T08:57:24.5705873Z fcd42f64ca0d: Pull complete 2025-12-04T08:57:24.7267438Z 425e64947d6c: Pull complete 2025-12-04T08:57:24.8626207Z 100a3aae6100: Pull complete 2025-12-04T08:57:24.9844846Z 612b903d2bcf: Pull complete 2025-12-04T08:57:25.1239290Z 46ce886716ad: Pull complete 2025-12-04T08:57:25.2529345Z 1c8bfbaf902d: Pull complete 2025-12-04T08:57:25.3834782Z 9b31e0487376: Pull complete 2025-12-04T08:57:25.5268648Z 6953b231bee7: Pull complete 2025-12-04T08:57:25.6589934Z 3ab87ad78d73: Pull complete 2025-12-04T08:57:26.4915572Z 9fedeeb9aece: Verifying Checksum 2025-12-04T08:57:26.4915974Z 9fedeeb9aece: Download complete 2025-12-04T08:57:26.5536778Z 81988d624119: Verifying Checksum 2025-12-04T08:57:26.5537151Z 81988d624119: Download complete 2025-12-04T08:57:26.6415047Z d5e99f982abd: Download complete 2025-12-04T08:57:26.7474045Z 42ec79e4711c: Verifying Checksum 2025-12-04T08:57:26.7474410Z 42ec79e4711c: Download complete 2025-12-04T08:57:26.8467073Z 92524d4de2c3: Verifying Checksum 2025-12-04T08:57:26.8467435Z 92524d4de2c3: Download complete 2025-12-04T08:57:26.9120089Z 0ce87beece3b: Verifying Checksum 2025-12-04T08:57:26.9120496Z 0ce87beece3b: Download complete 2025-12-04T08:57:26.9773559Z ea7a8d4389fa: Download complete 2025-12-04T08:57:27.5621182Z fd0af076fa04: Download complete 2025-12-04T08:57:45.2395351Z 8257a98b845d: Verifying Checksum 2025-12-04T08:57:45.2395728Z 8257a98b845d: Download complete 2025-12-04T08:57:52.9619820Z 8b1662227a6f: Verifying Checksum 2025-12-04T08:57:52.9620185Z 8b1662227a6f: Download complete 2025-12-04T08:58:49.7841760Z 8257a98b845d: Pull complete 2025-12-04T08:58:49.9472215Z 4f4fb700ef54: Pull complete 2025-12-04T08:58:50.0849348Z b62945c9f514: Pull complete 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2025-12-04T09:00:17.6524913Z 2dfbb731242a: Pull complete 2025-12-04T09:00:17.6941084Z 41b115f8be47: Pull complete 2025-12-04T09:00:17.7156338Z 7399c8cd32ca: Pull complete 2025-12-04T09:00:17.7576790Z 34aff6bc20c5: Pull complete 2025-12-04T09:00:17.7802495Z 6eeec0cffa97: Pull complete 2025-12-04T09:00:17.8212472Z c5048b347294: Pull complete 2025-12-04T09:00:17.8420241Z 74aada1bfa72: Pull complete 2025-12-04T09:00:17.8830734Z 6bc9ed03a494: Pull complete 2025-12-04T09:00:17.9042457Z 730c07fd577c: Pull complete 2025-12-04T09:00:24.1393213Z 9fedeeb9aece: Pull complete 2025-12-04T09:00:24.3468249Z 81988d624119: Pull complete 2025-12-04T09:00:24.5907565Z d5e99f982abd: Pull complete 2025-12-04T09:00:24.8196522Z 42ec79e4711c: Pull complete 2025-12-04T09:00:25.0319908Z 92524d4de2c3: Pull complete 2025-12-04T09:00:25.2414479Z 0ce87beece3b: Pull complete 2025-12-04T09:00:25.6491437Z ea7a8d4389fa: Pull complete 2025-12-04T09:00:27.3104703Z fd0af076fa04: Pull complete 2025-12-04T09:00:27.6471180Z Digest: sha256:daf8295b144729db421f110762706d7eed0643b6b9748bedf2e37a2fcdfc4b9c 2025-12-04T09:00:27.6838501Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:00:27.7018792Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:00:27.7075089Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:00:27.7076130Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:00:27.7084407Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:00:27.7084793Z env: 2025-12-04T09:00:27.7085006Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:00:27.7085269Z ##[endgroup] 2025-12-04T09:00:27.7258029Z ##[group]Run pytorch/test-infra/.github/actions/setup-nvidia@main 2025-12-04T09:00:27.7258470Z with: 2025-12-04T09:00:27.7258697Z driver-version: 580.82.07 2025-12-04T09:00:27.7258946Z env: 2025-12-04T09:00:27.7259162Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:00:27.7259428Z ##[endgroup] 2025-12-04T09:00:27.7345285Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:00:27.7346244Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:00:27.7353881Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:00:27.7354275Z env: 2025-12-04T09:00:27.7354491Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:00:27.7354761Z ##[endgroup] 2025-12-04T09:00:27.7465500Z ##[group]Run set -euo pipefail 2025-12-04T09:00:27.7465842Z set -euo pipefail 2025-12-04T09:00:27.7466162Z  2025-12-04T09:00:27.7466369Z has_gpu=false 2025-12-04T09:00:27.7466629Z devices="" 2025-12-04T09:00:27.7466872Z  2025-12-04T09:00:27.7467143Z if command -v nvidia-smi >/dev/null 2>&1; then 2025-12-04T09:00:27.7467608Z  if nvidia-smi -L >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T09:00:27.7468011Z  has_gpu=true 2025-12-04T09:00:27.7468320Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T09:00:27.7468642Z  fi 2025-12-04T09:00:27.7468865Z fi 2025-12-04T09:00:27.7469089Z  2025-12-04T09:00:27.7469305Z if [ "$has_gpu" = false ]; then 2025-12-04T09:00:27.7469705Z  if ls /dev/nvidia* >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T09:00:27.7470101Z  has_gpu=true 2025-12-04T09:00:27.7470409Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T09:00:27.7470723Z  fi 2025-12-04T09:00:27.7470939Z fi 2025-12-04T09:00:27.7471154Z  2025-12-04T09:00:27.7471457Z if [ "$has_gpu" = false ] && command -v lspci >/dev/null 2>&1; then 2025-12-04T09:00:27.7471982Z  if lspci | grep -i 'nvidia' >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T09:00:27.7472409Z  has_gpu=true 2025-12-04T09:00:27.7472700Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T09:00:27.7473022Z  fi 2025-12-04T09:00:27.7473236Z fi 2025-12-04T09:00:27.7473435Z  2025-12-04T09:00:27.7473741Z printf 'HAS_NVIDIA=%s\n' "$has_gpu" >> "$GITHUB_OUTPUT" 2025-12-04T09:00:27.7474436Z printf 'DETECTED_DEVICES<> "$GITHUB_OUTPUT" 2025-12-04T09:00:27.7480202Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:00:27.7480572Z env: 2025-12-04T09:00:27.7480794Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:00:27.7481057Z ##[endgroup] 2025-12-04T09:00:27.8718352Z ##[group]Run if [ "${HAS_NVIDIA}" = "true" ]; then 2025-12-04T09:00:27.8718769Z if [ "${HAS_NVIDIA}" = "true" ]; then 2025-12-04T09:00:27.8719156Z  echo "HAS_NVIDIA_GPU=true" >> "${GITHUB_ENV}" 2025-12-04T09:00:27.8719695Z  echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-12-04T09:00:27.8720181Z else 2025-12-04T09:00:27.8720455Z  echo "HAS_NVIDIA_GPU=false" >> "${GITHUB_ENV}" 2025-12-04T09:00:27.8720804Z fi 2025-12-04T09:00:27.8727588Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:00:27.8727997Z env: 2025-12-04T09:00:27.8728219Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:00:27.8728491Z HAS_NVIDIA: false 2025-12-04T09:00:27.8728717Z ##[endgroup] 2025-12-04T09:00:27.8819038Z Prepare all required actions 2025-12-04T09:00:27.8903725Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-12-04T09:00:27.8904086Z with: 2025-12-04T09:00:27.8904701Z github-token: *** 2025-12-04T09:00:27.8904931Z env: 2025-12-04T09:00:27.8905153Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:00:27.8905433Z HAS_NVIDIA_GPU: false 2025-12-04T09:00:27.8905676Z ##[endgroup] 2025-12-04T09:00:27.8941493Z ##[group]Run set -eux 2025-12-04T09:00:27.8941755Z set -eux 2025-12-04T09:00:27.8942208Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-12-04T09:00:27.8948165Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:00:27.8948558Z env: 2025-12-04T09:00:27.8948781Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:00:27.8949047Z HAS_NVIDIA_GPU: false 2025-12-04T09:00:27.8949711Z GITHUB_TOKEN: *** 2025-12-04T09:00:27.8949958Z ##[endgroup] 2025-12-04T09:00:27.8973753Z + python3 .github/scripts/get_workflow_job_id.py 19922814090 i-08bea9f94b524e092 2025-12-04T09:00:30.2831283Z Setting output job-id=57116258200 2025-12-04T09:00:30.2831948Z Setting output job-name=linux-jammy-py3.10-clang12 / test (default, 1, 5, linux.4xlarge, rerun_disabled_tests) 2025-12-04T09:00:30.3283275Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-12-04T09:00:30.3284159Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-12-04T09:00:30.3285162Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-12-04T09:00:30.3286049Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:00:30.3293930Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:00:30.3294321Z env: 2025-12-04T09:00:30.3294542Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:00:30.3294823Z HAS_NVIDIA_GPU: false 2025-12-04T09:00:30.3295069Z JOB_ID: 57116258200 2025-12-04T09:00:30.3295539Z JOB_NAME: linux-jammy-py3.10-clang12 / test (default, 1, 5, linux.4xlarge, rerun_disabled_tests) 2025-12-04T09:00:30.3296079Z WORKFLOW_NAME: pull 2025-12-04T09:00:30.3296387Z WORKFLOW_RUN_ID: 19922814090 2025-12-04T09:00:30.3296678Z MONITOR_LOG_INTERVAL: 5 2025-12-04T09:00:30.3296948Z MONITOR_DATA_COLLECT_INTERVAL: 1 2025-12-04T09:00:30.3297250Z ##[endgroup] 2025-12-04T09:00:31.9335786Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T09:00:32.3792411Z Collecting psutil==5.9.8 2025-12-04T09:00:32.3945194Z 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) 2025-12-04T09:00:32.5219346Z Collecting dataclasses_json==0.6.7 2025-12-04T09:00:32.5252000Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-12-04T09:00:32.5853599Z Collecting nvidia-ml-py==11.525.84 2025-12-04T09:00:32.5887482Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-12-04T09:00:32.7292358Z Collecting marshmallow<4.0.0,>=3.18.0 2025-12-04T09:00:32.7326038Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-12-04T09:00:32.7982452Z Collecting typing-inspect<1,>=0.4.0 2025-12-04T09:00:32.8013744Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-12-04T09:00:32.9054705Z Collecting packaging>=17.0 2025-12-04T09:00:32.9088690Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-12-04T09:00:32.9738712Z Collecting mypy-extensions>=0.3.0 2025-12-04T09:00:32.9769847Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-12-04T09:00:33.0659385Z Collecting typing-extensions>=3.7.4 2025-12-04T09:00:33.0692436Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-12-04T09:00:33.2994305Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json 2025-12-04T09:00:33.8396776Z 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 2025-12-04T09:00:34.0863910Z Prepare all required actions 2025-12-04T09:00:34.0864336Z Getting action download info 2025-12-04T09:00:34.2671257Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-12-04T09:00:34.7977405Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-12-04T09:00:36.3948764Z ##[group]Run ./.github/actions/download-build-artifacts 2025-12-04T09:00:36.3949348Z with: 2025-12-04T09:00:36.3949585Z name: linux-jammy-py3.10-clang12 2025-12-04T09:00:36.3949905Z s3-bucket: gha-artifacts 2025-12-04T09:00:36.3950185Z env: 2025-12-04T09:00:36.3950428Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:00:36.3950718Z HAS_NVIDIA_GPU: false 2025-12-04T09:00:36.3951004Z ##[endgroup] 2025-12-04T09:00:36.4055290Z ##[group]Run seemethere/download-artifact-s3@v4 2025-12-04T09:00:36.4055648Z with: 2025-12-04T09:00:36.4055871Z name: linux-jammy-py3.10-clang12 2025-12-04T09:00:36.4056249Z s3-bucket: gha-artifacts 2025-12-04T09:00:36.4056512Z region: us-east-1 2025-12-04T09:00:36.4056743Z env: 2025-12-04T09:00:36.4056956Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:00:36.4057213Z HAS_NVIDIA_GPU: false 2025-12-04T09:00:36.4057462Z ##[endgroup] 2025-12-04T09:00:37.0820188Z (node:44209) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-12-04T09:00:37.0820721Z 2025-12-04T09:00:37.0820914Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-12-04T09:00:37.0821475Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-12-04T09:00:37.0822063Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-12-04T09:00:37.3558622Z Found 1 objects with prefix pytorch/pytorch/19922814090/linux-jammy-py3.10-clang12/ 2025-12-04T09:00:37.3559377Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-12-04T09:00:42.8139633Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-12-04T09:00:42.8145017Z Artifact download has finished successfully 2025-12-04T09:00:42.8328206Z ##[group]Run unzip -o artifacts.zip 2025-12-04T09:00:42.8328558Z unzip -o artifacts.zip 2025-12-04T09:00:42.8335733Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 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--norc -e -o pipefail {0} 2025-12-04T09:00:49.7517171Z env: 2025-12-04T09:00:49.7517396Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:00:49.7517685Z HAS_NVIDIA_GPU: false 2025-12-04T09:00:49.7517927Z ##[endgroup] 2025-12-04T09:00:49.7632516Z Filesystem Size Used Avail Use% Mounted on 2025-12-04T09:00:49.7632932Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-12-04T09:00:49.7633281Z tmpfs 17G 0 17G 0% /dev/shm 2025-12-04T09:00:49.7633626Z tmpfs 6.6G 521k 6.6G 1% /run 2025-12-04T09:00:49.7633970Z /dev/nvme0n1p1 161G 38G 124G 24% / 2025-12-04T09:00:49.7634303Z tmpfs 17G 13k 17G 1% /tmp 2025-12-04T09:00:49.7634904Z /dev/nvme0n1p128 11M 1.4M 9.2M 13% /boot/efi 2025-12-04T09:00:49.7723710Z Prepare all required actions 2025-12-04T09:00:49.7724703Z Getting action download info 2025-12-04T09:00:49.9730894Z ##[group]Run ./.github/actions/download-td-artifacts 2025-12-04T09:00:49.9731265Z with: 2025-12-04T09:00:49.9731455Z env: 2025-12-04T09:00:49.9731674Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:00:49.9731950Z HAS_NVIDIA_GPU: false 2025-12-04T09:00:49.9732203Z ##[endgroup] 2025-12-04T09:00:49.9761315Z ##[group]Run seemethere/download-artifact-s3@v4 2025-12-04T09:00:49.9761687Z with: 2025-12-04T09:00:49.9761887Z name: td_results 2025-12-04T09:00:49.9762130Z s3-bucket: gha-artifacts 2025-12-04T09:00:49.9762400Z region: us-east-1 2025-12-04T09:00:49.9762616Z env: 2025-12-04T09:00:49.9762827Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:00:49.9763097Z HAS_NVIDIA_GPU: false 2025-12-04T09:00:49.9763351Z ##[endgroup] 2025-12-04T09:00:50.7389864Z (node:44228) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-12-04T09:00:50.7390546Z 2025-12-04T09:00:50.7390761Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-12-04T09:00:50.7391309Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-12-04T09:00:50.7391893Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-12-04T09:00:50.8493642Z Found 1 objects with prefix pytorch/pytorch/19922814090/td_results/ 2025-12-04T09:00:50.8494323Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json 2025-12-04T09:00:50.9120282Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json 2025-12-04T09:00:50.9125738Z Artifact download has finished successfully 2025-12-04T09:00:50.9301979Z ##[group]Run mkdir -p .additional_ci_files 2025-12-04T09:00:50.9302369Z mkdir -p .additional_ci_files 2025-12-04T09:00:50.9302821Z mv td_results.json .additional_ci_files/td_results.json || true 2025-12-04T09:00:50.9309603Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:00:50.9310002Z env: 2025-12-04T09:00:50.9310222Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:00:50.9310483Z HAS_NVIDIA_GPU: false 2025-12-04T09:00:50.9310732Z ##[endgroup] 2025-12-04T09:00:50.9473248Z ##[group]Run .github/scripts/parse_ref.py 2025-12-04T09:00:50.9473646Z .github/scripts/parse_ref.py 2025-12-04T09:00:50.9479217Z shell: /usr/bin/bash -e {0} 2025-12-04T09:00:50.9479497Z env: 2025-12-04T09:00:50.9479720Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:00:50.9480008Z HAS_NVIDIA_GPU: false 2025-12-04T09:00:50.9480247Z ##[endgroup] 2025-12-04T09:00:50.9964962Z Setting output branch=main 2025-12-04T09:00:51.0107489Z Prepare all required actions 2025-12-04T09:00:51.0107885Z Getting action download info 2025-12-04T09:00:51.1583286Z ##[group]Run ./.github/actions/filter-test-configs 2025-12-04T09:00:51.1583640Z with: 2025-12-04T09:00:51.1584071Z github-token: *** 2025-12-04T09:00:51.1589360Z test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "openreg", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}]} 2025-12-04T09:00:51.1595233Z job-name: linux-jammy-py3.10-clang12 / test (default, 1, 5, linux.4xlarge, rerun_disabled_tests) 2025-12-04T09:00:51.1595750Z env: 2025-12-04T09:00:51.1595967Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:00:51.1596243Z HAS_NVIDIA_GPU: false 2025-12-04T09:00:51.1596482Z ##[endgroup] 2025-12-04T09:00:51.1664181Z ##[group]Run nick-fields/retry@v3.0.0 2025-12-04T09:00:51.1664499Z with: 2025-12-04T09:00:51.1664703Z shell: bash 2025-12-04T09:00:51.1664933Z timeout_minutes: 10 2025-12-04T09:00:51.1665186Z max_attempts: 5 2025-12-04T09:00:51.1665415Z retry_wait_seconds: 30 2025-12-04T09:00:51.1666232Z 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 2025-12-04T09:00:51.1667139Z polling_interval_seconds: 1 2025-12-04T09:00:51.1667431Z warning_on_retry: true 2025-12-04T09:00:51.1667685Z continue_on_error: false 2025-12-04T09:00:51.1667948Z env: 2025-12-04T09:00:51.1668174Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:00:51.1668434Z HAS_NVIDIA_GPU: false 2025-12-04T09:00:51.1668861Z GITHUB_TOKEN: *** 2025-12-04T09:00:51.1669098Z ##[endgroup] 2025-12-04T09:00:51.2898824Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-12-04T09:00:51.5253437Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T09:00:51.7882616Z Collecting requests==2.27.1 2025-12-04T09:00:51.8034704Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-12-04T09:00:52.0186459Z Collecting pyyaml==6.0.2 2025-12-04T09:00:52.0223685Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB) 2025-12-04T09:00:52.0715970Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-12-04T09:00:52.0718684Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-12-04T09:00:52.1223364Z Collecting certifi>=2017.4.17 2025-12-04T09:00:52.1257193Z Downloading certifi-2025.11.12-py3-none-any.whl (159 kB) 2025-12-04T09:00:52.5394818Z Collecting charset-normalizer~=2.0.0 2025-12-04T09:00:52.5431514Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-12-04T09:00:52.6671642Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-12-04T09:00:52.8307807Z Successfully installed certifi-2025.11.12 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-12-04T09:00:53.2442935Z Command completed after 1 attempt(s). 2025-12-04T09:00:53.2515767Z ##[group]Run set -x 2025-12-04T09:00:53.2516025Z set -x 2025-12-04T09:00:53.2516253Z  2025-12-04T09:00:53.2516645Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-12-04T09:00:53.2517134Z # in runner workspace 2025-12-04T09:00:53.2517529Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-12-04T09:00:53.2523652Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:00:53.2524314Z env: 2025-12-04T09:00:53.2524555Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:00:53.2524821Z HAS_NVIDIA_GPU: false 2025-12-04T09:00:53.2525078Z ##[endgroup] 2025-12-04T09:00:53.2549917Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-12-04T09:00:53.2735831Z Setting output branch=main 2025-12-04T09:00:53.2802208Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-12-04T09:00:53.2802650Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-12-04T09:00:53.2803005Z echo "Job name: ${JOB_NAME}" 2025-12-04T09:00:53.2803296Z  2025-12-04T09:00:53.2803685Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-12-04T09:00:53.2804293Z # in runner workspace 2025-12-04T09:00:53.2804738Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-12-04T09:00:53.2805242Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-12-04T09:00:53.2805591Z  --job-name "${JOB_NAME}" \ 2025-12-04T09:00:53.2810894Z  --test-matrix "{"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "openreg", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}]}" \ 2025-12-04T09:00:53.2816521Z  --selected-test-configs "" \ 2025-12-04T09:00:53.2816853Z  --pr-number "${PR_NUMBER}" \ 2025-12-04T09:00:53.2817178Z  --tag "${TAG}" \ 2025-12-04T09:00:53.2817480Z  --event-name "${EVENT_NAME}" \ 2025-12-04T09:00:53.2817810Z  --schedule "${SCHEDULE}" \ 2025-12-04T09:00:53.2818135Z  --branch "${HEAD_BRANCH}" 2025-12-04T09:00:53.2824236Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:00:53.2824628Z env: 2025-12-04T09:00:53.2824838Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:00:53.2825114Z HAS_NVIDIA_GPU: false 2025-12-04T09:00:53.2825675Z GITHUB_TOKEN: *** 2025-12-04T09:00:53.2826134Z JOB_NAME: linux-jammy-py3.10-clang12 / test (default, 1, 5, linux.4xlarge, rerun_disabled_tests) 2025-12-04T09:00:53.2826673Z PR_NUMBER: 2025-12-04T09:00:53.2826898Z TAG: 2025-12-04T09:00:53.2827113Z EVENT_NAME: schedule 2025-12-04T09:00:53.2827351Z SCHEDULE: 29 8 * * * 2025-12-04T09:00:53.2827602Z HEAD_BRANCH: main 2025-12-04T09:00:53.2827841Z ##[endgroup] 2025-12-04T09:00:53.2852694Z Workflow: pull 2025-12-04T09:00:53.2853177Z Job name: linux-jammy-py3.10-clang12 / test (default, 1, 5, linux.4xlarge, rerun_disabled_tests) 2025-12-04T09:00:53.5362183Z Setting output keep-going=True 2025-12-04T09:00:53.5362838Z Setting output ci-verbose-test-logs=False 2025-12-04T09:00:53.5363224Z Setting output ci-test-showlocals=False 2025-12-04T09:00:53.5363572Z Setting output ci-no-test-timeout=False 2025-12-04T09:00:53.5363892Z Setting output ci-no-td=False 2025-12-04T09:00:53.5364277Z Setting output ci-td-distributed=False 2025-12-04T09:00:53.5364627Z Setting output is-unstable=False 2025-12-04T09:00:53.5364931Z Setting output reenabled-issues= 2025-12-04T09:00:53.5370332Z Setting output test-matrix={"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "openreg", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}]} 2025-12-04T09:00:53.5375930Z Setting output is-test-matrix-empty=False 2025-12-04T09:00:53.5533431Z ##[group]Run echo "Filtered matrix:" 2025-12-04T09:00:53.5533813Z echo "Filtered matrix:" 2025-12-04T09:00:53.5539354Z echo "{"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "linux.4xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "openreg", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge", "rerun_disabled_tests": "rerun_disabled_tests"}]}" 2025-12-04T09:00:53.5544863Z  2025-12-04T09:00:53.5545066Z echo 2025-12-04T09:00:53.5545347Z echo "Is the current job unstable? False" 2025-12-04T09:00:53.5545688Z  2025-12-04T09:00:53.5545984Z echo 2025-12-04T09:00:53.5546247Z echo "Is keep-going label set? True" 2025-12-04T09:00:53.5546577Z  2025-12-04T09:00:53.5546771Z echo 2025-12-04T09:00:53.5547016Z echo "Reenabled issues? " 2025-12-04T09:00:53.5553328Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:00:53.5553742Z env: 2025-12-04T09:00:53.5553958Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:00:53.5554245Z HAS_NVIDIA_GPU: false 2025-12-04T09:00:53.5554501Z ##[endgroup] 2025-12-04T09:00:53.5578787Z Filtered matrix: 2025-12-04T09:00:53.5585922Z {include: [{config: default, shard: 1, num_shards: 5, runner: linux.4xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 2, num_shards: 5, runner: linux.4xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 3, num_shards: 5, runner: linux.4xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 4, num_shards: 5, runner: linux.4xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 5, num_shards: 5, runner: linux.4xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: crossref, shard: 1, num_shards: 2, runner: linux.2xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: crossref, shard: 2, num_shards: 2, runner: linux.2xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: dynamo_wrapped, shard: 1, num_shards: 3, runner: linux.2xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: dynamo_wrapped, shard: 2, num_shards: 3, runner: linux.2xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: dynamo_wrapped, shard: 3, num_shards: 3, runner: linux.2xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: einops, shard: 1, num_shards: 1, runner: linux.2xlarge, rerun_disabled_tests: rerun_disabled_tests}, {config: openreg, shard: 1, num_shards: 1, runner: linux.2xlarge, rerun_disabled_tests: rerun_disabled_tests}]} 2025-12-04T09:00:53.5591227Z 2025-12-04T09:00:53.5591337Z Is the current job unstable? False 2025-12-04T09:00:53.5591543Z 2025-12-04T09:00:53.5591659Z Is keep-going label set? True 2025-12-04T09:00:53.5591853Z 2025-12-04T09:00:53.5591965Z Reenabled issues? 2025-12-04T09:00:53.5654760Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-12-04T09:00:53.5655307Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-12-04T09:00:53.5661229Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:00:53.5661602Z env: 2025-12-04T09:00:53.5661823Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:00:53.5662096Z HAS_NVIDIA_GPU: false 2025-12-04T09:00:53.5662338Z JOB_TIMEOUT: 240 2025-12-04T09:00:53.5662576Z ##[endgroup] 2025-12-04T09:00:53.5740801Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:00:53.5741359Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:00:53.5741838Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:00:53.5747455Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:00:53.5747838Z env: 2025-12-04T09:00:53.5748058Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:00:53.5748335Z HAS_NVIDIA_GPU: false 2025-12-04T09:00:53.5748572Z ##[endgroup] 2025-12-04T09:00:53.5907313Z ##[group]Run set -x 2025-12-04T09:00:53.5907665Z set -x 2025-12-04T09:00:53.5907900Z  2025-12-04T09:00:53.5908161Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-12-04T09:00:53.5908556Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-12-04T09:00:53.5908965Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-12-04T09:00:53.5909335Z  TEST_COMMAND=.ci/onnx/test.sh 2025-12-04T09:00:53.5909634Z else 2025-12-04T09:00:53.5909894Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-12-04T09:00:53.5910215Z fi 2025-12-04T09:00:53.5910415Z  2025-12-04T09:00:53.5910684Z # Leaving 1GB for the runner and other things 2025-12-04T09:00:53.5911425Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-12-04T09:00:53.5912341Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-12-04T09:00:53.5913081Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-12-04T09:00:53.5913637Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-12-04T09:00:53.5914071Z  2025-12-04T09:00:53.5914329Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-12-04T09:00:53.5914686Z  SHM_OPTS= 2025-12-04T09:00:53.5914938Z  JENKINS_USER= 2025-12-04T09:00:53.5915286Z  # ensure that docker container cleanly exits in 12 hours 2025-12-04T09:00:53.5915785Z  # if for some reason cleanup action doesn't stop container 2025-12-04T09:00:53.5916198Z  # when job is cancelled 2025-12-04T09:00:53.5916516Z  DOCKER_SHELL_CMD="sleep 12h" 2025-12-04T09:00:53.5916855Z  USED_IMAGE="${DOCKER_IMAGE_S390X}" 2025-12-04T09:00:53.5917177Z else 2025-12-04T09:00:53.5917432Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-12-04T09:00:53.5917772Z  JENKINS_USER="--user jenkins" 2025-12-04T09:00:53.5918095Z  DOCKER_SHELL_CMD= 2025-12-04T09:00:53.5918387Z  USED_IMAGE="${DOCKER_IMAGE}" 2025-12-04T09:00:53.5918680Z fi 2025-12-04T09:00:53.5918891Z  2025-12-04T09:00:53.5919233Z # detached container should get cleaned up by teardown_ec2_linux 2025-12-04T09:00:53.5919786Z # TODO: Stop building test binaries as part of the build phase 2025-12-04T09:00:53.5920406Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-12-04T09:00:53.5920962Z # shellcheck disable=SC2086,SC2090 2025-12-04T09:00:53.5921310Z container_name=$(docker run \ 2025-12-04T09:00:53.5921622Z  ${GPU_FLAG:-} \ 2025-12-04T09:00:53.5921929Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-12-04T09:00:53.5922283Z  -e BUILD_ENVIRONMENT \ 2025-12-04T09:00:53.5922591Z  -e PR_NUMBER \ 2025-12-04T09:00:53.5922867Z  -e GITHUB_ACTIONS \ 2025-12-04T09:00:53.5923163Z  -e GITHUB_REPOSITORY \ 2025-12-04T09:00:53.5923474Z  -e GITHUB_WORKFLOW \ 2025-12-04T09:00:53.5923758Z  -e GITHUB_JOB \ 2025-12-04T09:00:53.5924146Z  -e GITHUB_RUN_ID \ 2025-12-04T09:00:53.5924445Z  -e GITHUB_RUN_NUMBER \ 2025-12-04T09:00:53.5924741Z  -e GITHUB_RUN_ATTEMPT \ 2025-12-04T09:00:53.5925044Z  -e JOB_ID \ 2025-12-04T09:00:53.5925303Z  -e JOB_NAME \ 2025-12-04T09:00:53.5925565Z  -e BASE_SHA \ 2025-12-04T09:00:53.5925814Z  -e BRANCH \ 2025-12-04T09:00:53.5926065Z  -e SHA1 \ 2025-12-04T09:00:53.5926322Z  -e AWS_DEFAULT_REGION \ 2025-12-04T09:00:53.5926623Z  -e IN_WHEEL_TEST \ 2025-12-04T09:00:53.5926906Z  -e SHARD_NUMBER \ 2025-12-04T09:00:53.5927185Z  -e TEST_CONFIG \ 2025-12-04T09:00:53.5927454Z  -e NUM_TEST_SHARDS \ 2025-12-04T09:00:53.5927883Z  -e REENABLED_ISSUES \ 2025-12-04T09:00:53.5928204Z  -e CONTINUE_THROUGH_ERROR \ 2025-12-04T09:00:53.5928518Z  -e VERBOSE_TEST_LOGS \ 2025-12-04T09:00:53.5928826Z  -e TEST_SHOWLOCALS \ 2025-12-04T09:00:53.5929129Z  -e NO_TEST_TIMEOUT \ 2025-12-04T09:00:53.5929415Z  -e NO_TD \ 2025-12-04T09:00:53.5929662Z  -e TD_DISTRIBUTED \ 2025-12-04T09:00:53.5929952Z  -e PR_LABELS \ 2025-12-04T09:00:53.5930255Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-12-04T09:00:53.5930587Z  -e SCCACHE_BUCKET \ 2025-12-04T09:00:53.5930877Z  -e SCCACHE_REGION \ 2025-12-04T09:00:53.5931165Z  -e XLA_CUDA \ 2025-12-04T09:00:53.5931525Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-12-04T09:00:53.5931897Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-12-04T09:00:53.5932279Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-12-04T09:00:53.5932666Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-12-04T09:00:53.5933010Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-12-04T09:00:53.5933356Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-12-04T09:00:53.5933720Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-12-04T09:00:53.5934049Z  -e DASHBOARD_TAG \ 2025-12-04T09:00:53.5934346Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-12-04T09:00:53.5934719Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-12-04T09:00:53.5935138Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-12-04T09:00:53.5935561Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-12-04T09:00:53.5935968Z  --security-opt seccomp=unconfined \ 2025-12-04T09:00:53.5936321Z  --cap-add=SYS_PTRACE \ 2025-12-04T09:00:53.5936613Z  --ipc=host \ 2025-12-04T09:00:53.5936876Z  ${SHM_OPTS} \ 2025-12-04T09:00:53.5937131Z  --tty \ 2025-12-04T09:00:53.5937362Z  --detach \ 2025-12-04T09:00:53.5937635Z  --name="${container_name}" \ 2025-12-04T09:00:53.5937958Z  ${JENKINS_USER} \ 2025-12-04T09:00:53.5938300Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-12-04T09:00:53.5938708Z  -w /var/lib/jenkins/workspace \ 2025-12-04T09:00:53.5939034Z  "${USED_IMAGE}" \ 2025-12-04T09:00:53.5939316Z  ${DOCKER_SHELL_CMD} 2025-12-04T09:00:53.5939577Z ) 2025-12-04T09:00:53.5939916Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-12-04T09:00:53.5940336Z  2025-12-04T09:00:53.5940592Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-12-04T09:00:53.5941190Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-12-04T09:00:53.5941736Z fi 2025-12-04T09:00:53.5941948Z  2025-12-04T09:00:53.5942446Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-12-04T09:00:53.5948412Z shell: /usr/bin/bash -e {0} 2025-12-04T09:00:53.5948691Z env: 2025-12-04T09:00:53.5948903Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:00:53.5949397Z HAS_NVIDIA_GPU: false 2025-12-04T09:00:53.5949706Z BUILD_ENVIRONMENT: linux-jammy-py3.10-clang12 2025-12-04T09:00:53.5950041Z PR_NUMBER: 2025-12-04T09:00:53.5950290Z GITHUB_REPOSITORY: pytorch/pytorch 2025-12-04T09:00:53.5950605Z GITHUB_WORKFLOW: pull 2025-12-04T09:00:53.5950851Z GITHUB_JOB: test 2025-12-04T09:00:53.5951094Z GITHUB_RUN_ID: 19922814090 2025-12-04T09:00:53.5951368Z GITHUB_RUN_NUMBER: 384169 2025-12-04T09:00:53.5951640Z GITHUB_RUN_ATTEMPT: 1 2025-12-04T09:00:53.5951882Z JOB_ID: 57116258200 2025-12-04T09:00:53.5952366Z JOB_NAME: linux-jammy-py3.10-clang12 / test (default, 1, 5, linux.4xlarge, rerun_disabled_tests) 2025-12-04T09:00:53.5952900Z BRANCH: main 2025-12-04T09:00:53.5953159Z SHA1: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:00:53.5953712Z BASE_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:00:53.5954080Z TEST_CONFIG: default 2025-12-04T09:00:53.5954319Z SHARD_NUMBER: 1 2025-12-04T09:00:53.5954556Z NUM_TEST_SHARDS: 5 2025-12-04T09:00:53.5954801Z EXTRA_FLAGS: 2025-12-04T09:00:53.5955022Z OP_BENCHMARK_TESTS: 2025-12-04T09:00:53.5955278Z REENABLED_ISSUES: 2025-12-04T09:00:53.5955533Z CONTINUE_THROUGH_ERROR: True 2025-12-04T09:00:53.5955822Z VERBOSE_TEST_LOGS: False 2025-12-04T09:00:53.5956079Z TEST_SHOWLOCALS: False 2025-12-04T09:00:53.5956343Z NO_TEST_TIMEOUT: False 2025-12-04T09:00:53.5956594Z NO_TD: False 2025-12-04T09:00:53.5956810Z TD_DISTRIBUTED: False 2025-12-04T09:00:53.5957124Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-12-04T09:00:53.5957601Z SCCACHE_REGION: us-east-1 2025-12-04T09:00:53.5957859Z SHM_SIZE: 1g 2025-12-04T09:00:53.5958601Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:00:53.5959940Z DOCKER_IMAGE_S390X: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:00:53.5960773Z XLA_CUDA: 2025-12-04T09:00:53.5961127Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-12-04T09:00:53.5961599Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-12-04T09:00:53.5961934Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 1 2025-12-04T09:00:53.5962232Z DASHBOARD_TAG: 2025-12-04T09:00:53.5962682Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-12-04T09:00:53.5963109Z HUGGING_FACE_HUB_TOKEN: *** 2025-12-04T09:00:53.5963532Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-12-04T09:00:53.5963945Z ARTIFACTS_FILE_SUFFIX: test-default-1-5-linux.4xlarge_57116258200 2025-12-04T09:00:53.5964442Z ##[endgroup] 2025-12-04T09:00:53.5989108Z + [[ default == \m\u\l\t\i\g\p\u ]] 2025-12-04T09:00:53.5989478Z + [[ linux-jammy-py3.10-clang12 == *onnx* ]] 2025-12-04T09:00:53.5989838Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-12-04T09:00:53.5992514Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-12-04T09:00:53.6014158Z + TOTAL_AVAILABLE_MEMORY_IN_GB='29.641 ' 2025-12-04T09:00:53.6014542Z + TOTAL_MEMORY_WITH_SWAP=32 2025-12-04T09:00:53.6014876Z + [[ linux-jammy-py3.10-clang12 == *\s\3\9\0\x* ]] 2025-12-04T09:00:53.6015228Z + SHM_OPTS=--shm-size=1g 2025-12-04T09:00:53.6015507Z + JENKINS_USER='--user jenkins' 2025-12-04T09:00:53.6015796Z + DOCKER_SHELL_CMD= 2025-12-04T09:00:53.6016536Z + USED_IMAGE=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:00:53.6022355Z +++ nproc --ignore=2 2025-12-04T09:00:53.6156567Z ++ 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-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:01:07.0524713Z + container_name=678f43bef8734d8f33e0f11ab1e212cbac6368e84d51eb4c367b41e72f59e69e 2025-12-04T09:01:07.0525504Z + echo DOCKER_CONTAINER_ID=678f43bef8734d8f33e0f11ab1e212cbac6368e84d51eb4c367b41e72f59e69e 2025-12-04T09:01:07.0526108Z + [[ linux-jammy-py3.10-clang12 == *\s\3\9\0\x* ]] 2025-12-04T09:01:07.0529702Z ++ echo dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl 2025-12-04T09:01:07.0533865Z + docker exec -t 678f43bef8734d8f33e0f11ab1e212cbac6368e84d51eb4c367b41e72f59e69e sh -c 'python3 -m pip install dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-12-04T09:01:07.5721471Z Processing ./dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl (from torch==2.10.0a0+gitffd9b0f) 2025-12-04T09:01:08.1464767Z 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) 2025-12-04T09:01:08.1468770Z 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) 2025-12-04T09:01:08.1473093Z 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) 2025-12-04T09:01:08.1477651Z 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) 2025-12-04T09:01:08.1481616Z 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) 2025-12-04T09:01:08.1486728Z 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) 2025-12-04T09:01:08.1500731Z 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) 2025-12-04T09:01:08.1882060Z 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) 2025-12-04T09:01:08.1902911Z 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) 2025-12-04T09:01:08.1961134Z 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) 2025-12-04T09:01:08.6171629Z Installing collected packages: torch 2025-12-04T09:01:18.8750269Z Successfully installed torch-2.10.0a0+gitffd9b0f 2025-12-04T09:01:18.9653979Z + export TERM=vt100 2025-12-04T09:01:18.9654264Z + TERM=vt100 2025-12-04T09:01:18.9655909Z ++ dirname .ci/pytorch/test.sh 2025-12-04T09:01:18.9919540Z + source .ci/pytorch/common.sh 2025-12-04T09:01:19.0010793Z +++ dirname .ci/pytorch/common.sh 2025-12-04T09:01:19.0316255Z ++ source .ci/pytorch/common_utils.sh 2025-12-04T09:01:19.0375272Z +++ declare -f -t trap_add 2025-12-04T09:01:19.0380003Z ++ set -ex -o pipefail 2025-12-04T09:01:19.0380302Z ++ [[ linux-jammy-py3.10-clang12 == *rocm* ]] 2025-12-04T09:01:19.0380731Z ++ BUILD_TEST_LIBTORCH=0 2025-12-04T09:01:19.0440681Z ++ dirname .ci/pytorch/test.sh 2025-12-04T09:01:19.0447741Z + source .ci/pytorch/common-build.sh 2025-12-04T09:01:19.0496793Z ++ [[ linux-jammy-py3.10-clang12 != *win-* ]] 2025-12-04T09:01:19.0502121Z ++++ dirname .ci/pytorch/common-build.sh 2025-12-04T09:01:19.0509242Z +++ cd .ci/pytorch 2025-12-04T09:01:19.0509540Z +++ pwd -P 2025-12-04T09:01:19.0511387Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-12-04T09:01:19.0511872Z ++ [[ linux-jammy-py3.10-clang12 == *-pch* ]] 2025-12-04T09:01:19.0512211Z ++ which sccache 2025-12-04T09:01:19.0624100Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-12-04T09:01:19.0624523Z ++ sccache --stop-server 2025-12-04T09:01:19.0813366Z ++ true 2025-12-04T09:01:19.0813657Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-12-04T09:01:19.0930436Z ++ trap_add sccache_epilogue EXIT 2025-12-04T09:01:19.0931025Z ++ trap_add_cmd=sccache_epilogue 2025-12-04T09:01:19.0931307Z ++ shift 2025-12-04T09:01:19.0931544Z ++ for trap_add_name in "$@" 2025-12-04T09:01:19.0950051Z ++++ trap -p EXIT 2025-12-04T09:01:19.0950551Z +++ eval 'extract_trap_cmd ' 2025-12-04T09:01:19.0950852Z ++++ extract_trap_cmd 2025-12-04T09:01:19.0951088Z ++++ printf '%s\n' '' 2025-12-04T09:01:19.0951341Z +++ printf '%s\n' sccache_epilogue 2025-12-04T09:01:19.0951624Z ++ trap -- ' 2025-12-04T09:01:19.0952070Z sccache_epilogue' EXIT 2025-12-04T09:01:19.0952310Z ++ [[ -n 1 ]] 2025-12-04T09:01:19.0952706Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-12-04T09:01:19.0953346Z Skipping sccache server initialization, setting environment variables 2025-12-04T09:01:19.0953796Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:01:19.0954097Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:01:19.0954453Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:01:19.0954904Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:01:19.0961077Z ++ export RUST_LOG=sccache::server=error 2025-12-04T09:01:19.0961464Z ++ RUST_LOG=sccache::server=error 2025-12-04T09:01:19.0961779Z ++ sccache --zero-stats 2025-12-04T09:01:19.3320166Z Statistics zeroed. 2025-12-04T09:01:19.3324647Z ++ which ccache 2025-12-04T09:01:19.3358290Z + [[ linux-jammy-py3.10-clang12 != *rocm* ]] 2025-12-04T09:01:19.3358713Z + [[ linux-jammy-py3.10-clang12 != *s390x* ]] 2025-12-04T09:01:19.3359089Z + [[ -d /var/lib/jenkins/workspace ]] 2025-12-04T09:01:19.3361246Z ++ stat -c %u /var/lib/jenkins/workspace 2025-12-04T09:01:19.3592469Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-12-04T09:01:19.3592853Z + trap_add cleanup_workspace EXIT 2025-12-04T09:01:19.3593206Z + trap_add_cmd=cleanup_workspace 2025-12-04T09:01:19.3593500Z + shift 2025-12-04T09:01:19.3593708Z + for trap_add_name in "$@" 2025-12-04T09:01:19.3599288Z +++ trap -p EXIT 2025-12-04T09:01:19.3601528Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-12-04T09:01:19.3602157Z sccache_epilogue'\'' EXIT' 2025-12-04T09:01:19.3602645Z +++ extract_trap_cmd trap -- ' 2025-12-04T09:01:19.3603144Z sccache_epilogue' EXIT 2025-12-04T09:01:19.3603400Z +++ printf '%s\n' ' 2025-12-04T09:01:19.3603628Z sccache_epilogue' 2025-12-04T09:01:19.3603944Z ++ printf '%s\n' cleanup_workspace 2025-12-04T09:01:19.3604580Z + trap -- ' 2025-12-04T09:01:19.3604905Z sccache_epilogue 2025-12-04T09:01:19.3605151Z cleanup_workspace' EXIT 2025-12-04T09:01:19.3605466Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-12-04T09:01:20.2753973Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-12-04T09:01:20.3886275Z + [[ linux-jammy-py3.10-clang12 == *cuda* ]] 2025-12-04T09:01:20.3886878Z + echo 'Environment variables:' 2025-12-04T09:01:20.3887177Z Environment variables: 2025-12-04T09:01:20.3887422Z + env 2025-12-04T09:01:20.3978823Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T09:01:20.3979824Z CONTINUE_THROUGH_ERROR=True 2025-12-04T09:01:20.3980151Z BUILD_ENVIRONMENT=linux-jammy-py3.10-clang12 2025-12-04T09:01:20.3980725Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-12-04T09:01:20.3981023Z HOSTNAME=678f43bef873 2025-12-04T09:01:20.3981618Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_3d7f334e-7d4c-4b92-b8d0-68db0e9ccc74 2025-12-04T09:01:20.3982276Z GITHUB_ACTION=__run_3 2025-12-04T09:01:20.3982546Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-12-04T09:01:20.3982851Z GITHUB_RUN_NUMBER=384169 2025-12-04T09:01:20.3983118Z TEST_CONFIG=default 2025-12-04T09:01:20.3983374Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-12-04T09:01:20.3983713Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-12-04T09:01:20.3984021Z SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:01:20.3984642Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-12-04T09:01:20.3985121Z GITHUB_TRIGGERING_ACTOR=huydhn 2025-12-04T09:01:20.3985663Z GITHUB_REF_TYPE=branch 2025-12-04T09:01:20.3985984Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:01:20.3986333Z XLA_CUDA= 2025-12-04T09:01:20.3986549Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-12-04T09:01:20.3986973Z HUGGING_FACE_HUB_TOKEN=*** 2025-12-04T09:01:20.3987409Z *** 2025-12-04T09:01:20.3987632Z GITHUB_REPOSITORY_ID=65600975 2025-12-04T09:01:20.3987905Z GITHUB_ACTIONS=true 2025-12-04T09:01:20.3988213Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:01:20.3988620Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:01:20.3988997Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:01:20.3989661Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/pull.yml@refs/heads/main 2025-12-04T09:01:20.3990148Z UCC_HOME=/usr 2025-12-04T09:01:20.3990379Z VERBOSE_TEST_LOGS=False 2025-12-04T09:01:20.3990637Z GITHUB_REF=refs/heads/main 2025-12-04T09:01:20.3990901Z SHARD_NUMBER=1 2025-12-04T09:01:20.3991142Z GITHUB_REF_PROTECTED=true 2025-12-04T09:01:20.3991399Z HOME=/var/lib/jenkins 2025-12-04T09:01:20.3991683Z GITHUB_API_URL=https://api.github.com 2025-12-04T09:01:20.3992023Z PYTORCH_TEST_RERUN_DISABLED_TESTS=1 2025-12-04T09:01:20.3992308Z UCX_COMMIT= 2025-12-04T09:01:20.3992523Z USE_SYSTEM_NCCL=1 2025-12-04T09:01:20.3992757Z NUM_TEST_SHARDS=5 2025-12-04T09:01:20.3992971Z UCX_HOME=/usr 2025-12-04T09:01:20.3993550Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_3d7f334e-7d4c-4b92-b8d0-68db0e9ccc74 2025-12-04T09:01:20.3994434Z JOB_NAME=linux-jammy-py3.10-clang12 / test (default, 1, 5, linux.4xlarge, rerun_disabled_tests) 2025-12-04T09:01:20.3995290Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_3d7f334e-7d4c-4b92-b8d0-68db0e9ccc74 2025-12-04T09:01:20.3996112Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-12-04T09:01:20.3996667Z GITHUB_EVENT_NAME=schedule 2025-12-04T09:01:20.3996935Z DASHBOARD_TAG= 2025-12-04T09:01:20.3997151Z GITHUB_RUN_ID=19922814090 2025-12-04T09:01:20.3997414Z INSTALLED_OPENBLAS= 2025-12-04T09:01:20.3998052Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_3d7f334e-7d4c-4b92-b8d0-68db0e9ccc74 2025-12-04T09:01:20.3998735Z GITHUB_ACTOR=huydhn 2025-12-04T09:01:20.3998976Z PR_NUMBER= 2025-12-04T09:01:20.3999190Z DESIRED_CUDA= 2025-12-04T09:01:20.3999404Z GITHUB_RUN_ATTEMPT=1 2025-12-04T09:01:20.3999675Z ANACONDA_PYTHON_VERSION=3.10 2025-12-04T09:01:20.4000014Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-12-04T09:01:20.4000373Z TERM=vt100 2025-12-04T09:01:20.4000574Z INSTALLED_VISION=yes 2025-12-04T09:01:20.4000818Z BRANCH=main 2025-12-04T09:01:20.4001037Z SCCACHE_REGION=us-east-1 2025-12-04T09:01:20.4001303Z OPENSSL_ROOT_DIR=/opt/openssl 2025-12-04T09:01:20.4001594Z BUILD_AOT_INDUCTOR_TEST= 2025-12-04T09:01:20.4001861Z CUDA_PATH=/usr/local/cuda 2025-12-04T09:01:20.4002392Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-12-04T09:01:20.4002991Z GITHUB_SERVER_URL=https://github.com 2025-12-04T09:01:20.4003296Z UCC_COMMIT= 2025-12-04T09:01:20.4003499Z REENABLED_ISSUES= 2025-12-04T09:01:20.4003723Z DOCS= 2025-12-04T09:01:20.4003925Z SHLVL=1 2025-12-04T09:01:20.4004203Z MAX_JOBS=14 2025-12-04T09:01:20.4004426Z GITHUB_ACTOR_ID=475357 2025-12-04T09:01:20.4004777Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:01:20.4005166Z GITHUB_REF_NAME=main 2025-12-04T09:01:20.4005561Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-12-04T09:01:20.4006013Z GITHUB_JOB=test 2025-12-04T09:01:20.4006255Z NO_TEST_TIMEOUT=False 2025-12-04T09:01:20.4006496Z TD_DISTRIBUTED=False 2025-12-04T09:01:20.4006766Z GITHUB_REPOSITORY=pytorch/pytorch 2025-12-04T09:01:20.4007072Z GITHUB_RETENTION_DAYS=90 2025-12-04T09:01:20.4007326Z OPENSSL_DIR=/opt/openssl 2025-12-04T09:01:20.4007702Z GITHUB_ACTION_REPOSITORY= 2025-12-04T09:01:20.4008507Z 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 2025-12-04T09:01:20.4009329Z GITHUB_BASE_REF= 2025-12-04T09:01:20.4009561Z INSTALLED_ACL= 2025-12-04T09:01:20.4009909Z ARTIFACTS_FILE_SUFFIX=test-default-1-5-linux.4xlarge_57116258200 2025-12-04T09:01:20.4010306Z CI=true 2025-12-04T09:01:20.4010528Z GITHUB_REPOSITORY_OWNER=pytorch 2025-12-04T09:01:20.4010853Z RUST_LOG=sccache::server=error 2025-12-04T09:01:20.4011124Z JOB_ID=57116258200 2025-12-04T09:01:20.4011342Z GITHUB_HEAD_REF= 2025-12-04T09:01:20.4011573Z GITHUB_ACTION_REF= 2025-12-04T09:01:20.4011869Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-12-04T09:01:20.4012292Z TEST_SHOWLOCALS=False 2025-12-04T09:01:20.4012548Z GITHUB_WORKFLOW=pull 2025-12-04T09:01:20.4012810Z DEBIAN_FRONTEND=noninteractive 2025-12-04T09:01:20.4013447Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_3d7f334e-7d4c-4b92-b8d0-68db0e9ccc74 2025-12-04T09:01:20.4014106Z NO_TD=False 2025-12-04T09:01:20.4014342Z SKIP_SCCACHE_INITIALIZATION=1 2025-12-04T09:01:20.4014647Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-12-04T09:01:20.4014966Z _=/usr/bin/env 2025-12-04T09:01:20.4015298Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-12-04T09:01:20.4248007Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch 2025-12-04T09:01:20.4248801Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-12-04T09:01:20.4249657Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib 2025-12-04T09:01:20.4250275Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test 2025-12-04T09:01:20.4250762Z + BUILD_DIR=build 2025-12-04T09:01:20.4251011Z + BUILD_RENAMED_DIR=build_renamed 2025-12-04T09:01:20.4251326Z + BUILD_BIN_DIR=build/bin 2025-12-04T09:01:20.4251603Z + SHARD_NUMBER=1 2025-12-04T09:01:20.4251823Z + NUM_TEST_SHARDS=5 2025-12-04T09:01:20.4252080Z + export TORCH_SERIALIZATION_DEBUG=1 2025-12-04T09:01:20.4252402Z + TORCH_SERIALIZATION_DEBUG=1 2025-12-04T09:01:20.4252672Z + export VALGRIND=ON 2025-12-04T09:01:20.4252912Z + VALGRIND=ON 2025-12-04T09:01:20.4253201Z + [[ linux-jammy-py3.10-clang12 == *clang9* ]] 2025-12-04T09:01:20.4253723Z + [[ linux-jammy-py3.10-clang12 == *xpu* ]] 2025-12-04T09:01:20.4254049Z + detect_cuda_arch 2025-12-04T09:01:20.4254316Z + [[ linux-jammy-py3.10-clang12 == *cuda* ]] 2025-12-04T09:01:20.4254655Z + [[ linux-jammy-py3.10-clang12 == *s390x* ]] 2025-12-04T09:01:20.4254969Z + [[ 1 == \1 ]] 2025-12-04T09:01:20.4255195Z + ulimit -c 0 2025-12-04T09:01:20.4255447Z + [[ linux-jammy-py3.10-clang12 != *bazel* ]] 2025-12-04T09:01:20.4255809Z ++ realpath build/custom_test_artifacts 2025-12-04T09:01:20.4338301Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-12-04T09:01:20.4338814Z + [[ -n '' ]] 2025-12-04T09:01:20.4339062Z + echo 'Environment variables' 2025-12-04T09:01:20.4339350Z Environment variables 2025-12-04T09:01:20.4339627Z + env 2025-12-04T09:01:20.4423786Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T09:01:20.4424371Z CONTINUE_THROUGH_ERROR=True 2025-12-04T09:01:20.4424798Z BUILD_ENVIRONMENT=linux-jammy-py3.10-clang12 2025-12-04T09:01:20.4425774Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-12-04T09:01:20.4426347Z HOSTNAME=678f43bef873 2025-12-04T09:01:20.4426992Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_3d7f334e-7d4c-4b92-b8d0-68db0e9ccc74 2025-12-04T09:01:20.4427639Z GITHUB_ACTION=__run_3 2025-12-04T09:01:20.4427910Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-12-04T09:01:20.4428245Z GITHUB_RUN_NUMBER=384169 2025-12-04T09:01:20.4428498Z TEST_CONFIG=default 2025-12-04T09:01:20.4428753Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-12-04T09:01:20.4429092Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-12-04T09:01:20.4429642Z SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:01:20.4430059Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-12-04T09:01:20.4430362Z GITHUB_TRIGGERING_ACTOR=huydhn 2025-12-04T09:01:20.4430650Z GITHUB_REF_TYPE=branch 2025-12-04T09:01:20.4430941Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:01:20.4431293Z XLA_CUDA= 2025-12-04T09:01:20.4431526Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-12-04T09:01:20.4432031Z HUGGING_FACE_HUB_TOKEN=*** 2025-12-04T09:01:20.4432352Z *** 2025-12-04T09:01:20.4432599Z GITHUB_REPOSITORY_ID=65600975 2025-12-04T09:01:20.4432883Z GITHUB_ACTIONS=true 2025-12-04T09:01:20.4433184Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:01:20.4433573Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:01:20.4433967Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:01:20.4434617Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/pull.yml@refs/heads/main 2025-12-04T09:01:20.4435089Z UCC_HOME=/usr 2025-12-04T09:01:20.4435328Z TORCH_SERIALIZATION_DEBUG=1 2025-12-04T09:01:20.4435620Z VERBOSE_TEST_LOGS=False 2025-12-04T09:01:20.4435874Z GITHUB_REF=refs/heads/main 2025-12-04T09:01:20.4436138Z SHARD_NUMBER=1 2025-12-04T09:01:20.4436370Z GITHUB_REF_PROTECTED=true 2025-12-04T09:01:20.4436624Z HOME=/var/lib/jenkins 2025-12-04T09:01:20.4436906Z GITHUB_API_URL=https://api.github.com 2025-12-04T09:01:20.4437240Z PYTORCH_TEST_RERUN_DISABLED_TESTS=1 2025-12-04T09:01:20.4437534Z UCX_COMMIT= 2025-12-04T09:01:20.4437735Z USE_SYSTEM_NCCL=1 2025-12-04T09:01:20.4437966Z NUM_TEST_SHARDS=5 2025-12-04T09:01:20.4438190Z UCX_HOME=/usr 2025-12-04T09:01:20.4438756Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_3d7f334e-7d4c-4b92-b8d0-68db0e9ccc74 2025-12-04T09:01:20.4439630Z JOB_NAME=linux-jammy-py3.10-clang12 / test (default, 1, 5, linux.4xlarge, rerun_disabled_tests) 2025-12-04T09:01:20.4440489Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_3d7f334e-7d4c-4b92-b8d0-68db0e9ccc74 2025-12-04T09:01:20.4441315Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-12-04T09:01:20.4441833Z GITHUB_EVENT_NAME=schedule 2025-12-04T09:01:20.4442100Z DASHBOARD_TAG= 2025-12-04T09:01:20.4442331Z GITHUB_RUN_ID=19922814090 2025-12-04T09:01:20.4442581Z INSTALLED_OPENBLAS= 2025-12-04T09:01:20.4443218Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_3d7f334e-7d4c-4b92-b8d0-68db0e9ccc74 2025-12-04T09:01:20.4443924Z GITHUB_ACTOR=huydhn 2025-12-04T09:01:20.4444227Z PR_NUMBER= 2025-12-04T09:01:20.4444439Z DESIRED_CUDA= 2025-12-04T09:01:20.4444665Z GITHUB_RUN_ATTEMPT=1 2025-12-04T09:01:20.4444899Z VALGRIND=ON 2025-12-04T09:01:20.4445130Z ANACONDA_PYTHON_VERSION=3.10 2025-12-04T09:01:20.4445477Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-12-04T09:01:20.4445827Z TERM=vt100 2025-12-04T09:01:20.4446043Z INSTALLED_VISION=yes 2025-12-04T09:01:20.4446282Z BRANCH=main 2025-12-04T09:01:20.4446489Z SCCACHE_REGION=us-east-1 2025-12-04T09:01:20.4446772Z OPENSSL_ROOT_DIR=/opt/openssl 2025-12-04T09:01:20.4447062Z BUILD_AOT_INDUCTOR_TEST= 2025-12-04T09:01:20.4447313Z CUDA_PATH=/usr/local/cuda 2025-12-04T09:01:20.4447845Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-12-04T09:01:20.4448443Z GITHUB_SERVER_URL=https://github.com 2025-12-04T09:01:20.4448752Z UCC_COMMIT= 2025-12-04T09:01:20.4448954Z REENABLED_ISSUES= 2025-12-04T09:01:20.4449420Z DOCS= 2025-12-04T09:01:20.4449652Z SHLVL=1 2025-12-04T09:01:20.4449844Z MAX_JOBS=14 2025-12-04T09:01:20.4450069Z GITHUB_ACTOR_ID=475357 2025-12-04T09:01:20.4450428Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:01:20.4450815Z GITHUB_REF_NAME=main 2025-12-04T09:01:20.4451210Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-12-04T09:01:20.4451663Z GITHUB_JOB=test 2025-12-04T09:01:20.4451880Z NO_TEST_TIMEOUT=False 2025-12-04T09:01:20.4452128Z TD_DISTRIBUTED=False 2025-12-04T09:01:20.4452530Z GITHUB_REPOSITORY=pytorch/pytorch 2025-12-04T09:01:20.4452826Z GITHUB_RETENTION_DAYS=90 2025-12-04T09:01:20.4453105Z OPENSSL_DIR=/opt/openssl 2025-12-04T09:01:20.4453376Z GITHUB_ACTION_REPOSITORY= 2025-12-04T09:01:20.4454184Z 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 2025-12-04T09:01:20.4455012Z GITHUB_BASE_REF= 2025-12-04T09:01:20.4455246Z INSTALLED_ACL= 2025-12-04T09:01:20.4455594Z ARTIFACTS_FILE_SUFFIX=test-default-1-5-linux.4xlarge_57116258200 2025-12-04T09:01:20.4455995Z CI=true 2025-12-04T09:01:20.4456225Z GITHUB_REPOSITORY_OWNER=pytorch 2025-12-04T09:01:20.4456562Z RUST_LOG=sccache::server=error 2025-12-04T09:01:20.4456825Z JOB_ID=57116258200 2025-12-04T09:01:20.4457164Z GITHUB_HEAD_REF= 2025-12-04T09:01:20.4457395Z GITHUB_ACTION_REF= 2025-12-04T09:01:20.4457674Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-12-04T09:01:20.4458035Z TEST_SHOWLOCALS=False 2025-12-04T09:01:20.4458293Z GITHUB_WORKFLOW=pull 2025-12-04T09:01:20.4458545Z DEBIAN_FRONTEND=noninteractive 2025-12-04T09:01:20.4459196Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_3d7f334e-7d4c-4b92-b8d0-68db0e9ccc74 2025-12-04T09:01:20.4459859Z NO_TD=False 2025-12-04T09:01:20.4460092Z SKIP_SCCACHE_INITIALIZATION=1 2025-12-04T09:01:20.4460395Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-12-04T09:01:20.4460712Z _=/usr/bin/env 2025-12-04T09:01:20.4460945Z + echo 'Testing pytorch' 2025-12-04T09:01:20.4461191Z Testing pytorch 2025-12-04T09:01:20.4461436Z + export LANG=C.UTF-8 2025-12-04T09:01:20.4461682Z + LANG=C.UTF-8 2025-12-04T09:01:20.5072746Z + PR_NUMBER= 2025-12-04T09:01:20.5073116Z + [[ default == \d\e\f\a\u\l\t ]] 2025-12-04T09:01:20.5073546Z + export CUDA_VISIBLE_DEVICES=0 2025-12-04T09:01:20.5073881Z + CUDA_VISIBLE_DEVICES=0 2025-12-04T09:01:20.5074162Z + export HIP_VISIBLE_DEVICES=0 2025-12-04T09:01:20.5074469Z + HIP_VISIBLE_DEVICES=0 2025-12-04T09:01:20.5074752Z + [[ default == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-12-04T09:01:20.5075055Z + [[ default == \s\l\o\w ]] 2025-12-04T09:01:20.5075385Z + [[ linux-jammy-py3.10-clang12 == *slow-gradcheck* ]] 2025-12-04T09:01:20.5075782Z + [[ linux-jammy-py3.10-clang12 == *cuda* ]] 2025-12-04T09:01:20.5076120Z + [[ linux-jammy-py3.10-clang12 == *rocm* ]] 2025-12-04T09:01:20.5076471Z + [[ linux-jammy-py3.10-clang12 == *xpu* ]] 2025-12-04T09:01:20.5076800Z + [[ default == *crossref* ]] 2025-12-04T09:01:20.5077093Z + [[ linux-jammy-py3.10-clang12 == *rocm* ]] 2025-12-04T09:01:20.5077435Z + [[ linux-jammy-py3.10-clang12 == *xpu* ]] 2025-12-04T09:01:20.5077785Z + [[ linux-jammy-py3.10-clang12 != *-bazel-* ]] 2025-12-04T09:01:20.5078113Z + pip_install ninja==1.10.2 2025-12-04T09:01:20.5078488Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-12-04T09:01:20.5078971Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-12-04T09:01:21.1669046Z Collecting ninja==1.10.2 2025-12-04T09:01:21.1920737Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-12-04T09:01:21.2255869Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-12-04T09:01:21.6252745Z Installing collected packages: ninja 2025-12-04T09:01:21.6253497Z Attempting uninstall: ninja 2025-12-04T09:01:21.6261529Z Found existing installation: ninja 1.11.1.4 2025-12-04T09:01:21.6283914Z Uninstalling ninja-1.11.1.4: 2025-12-04T09:01:21.6377187Z Successfully uninstalled ninja-1.11.1.4 2025-12-04T09:01:21.6869065Z Successfully installed ninja-1.10.2 2025-12-04T09:01:21.7533093Z + 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 2025-12-04T09:01:21.7535050Z + 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 2025-12-04T09:01:21.7536273Z + [[ linux-jammy-py3.10-clang12 == *aarch64* ]] 2025-12-04T09:01:21.7536863Z + [[ linux-jammy-py3.10-clang12 == *asan* ]] 2025-12-04T09:01:21.7537263Z + [[ linux-jammy-py3.10-clang12 == *-debug* ]] 2025-12-04T09:01:21.7537628Z + [[ linux-jammy-py3.10-clang12 != *-bazel-* ]] 2025-12-04T09:01:21.7538164Z + echo 'We are not in debug mode: linux-jammy-py3.10-clang12. Expect the assertion to pass' 2025-12-04T09:01:21.7538835Z We are not in debug mode: linux-jammy-py3.10-clang12. Expect the assertion to pass 2025-12-04T09:01:21.7539303Z + cd test 2025-12-04T09:01:21.7539643Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-12-04T09:01:23.1854942Z + [[ default == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-12-04T09:01:23.1855663Z + [[ default == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-12-04T09:01:23.1856036Z + [[ default == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-12-04T09:01:23.1860007Z + DYNAMO_BENCHMARK_FLAGS=() 2025-12-04T09:01:23.1860577Z + [[ default == *pr_time_benchmarks* ]] 2025-12-04T09:01:23.1861177Z + [[ default == *dynamo_eager* ]] 2025-12-04T09:01:23.1861751Z + [[ default == *aot_eager* ]] 2025-12-04T09:01:23.1862052Z + [[ default == *aot_inductor* ]] 2025-12-04T09:01:23.1862348Z + [[ default == *max_autotune_inductor* ]] 2025-12-04T09:01:23.1862670Z + [[ default == *inductor* ]] 2025-12-04T09:01:23.1862957Z + [[ default == *dynamic* ]] 2025-12-04T09:01:23.1863220Z + [[ default == *cpu* ]] 2025-12-04T09:01:23.1863476Z + [[ default == *xpu* ]] 2025-12-04T09:01:23.1863771Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda) 2025-12-04T09:01:23.1893639Z + [[ linux-jammy-py3.10-clang12 == *libtorch* ]] 2025-12-04T09:01:23.1894327Z + [[ linux-jammy-py3.10-clang12 == *-bazel-* ]] 2025-12-04T09:01:23.1896958Z + cd test 2025-12-04T09:01:23.1897844Z + python -c 'import torch; print(torch.__config__.show())' 2025-12-04T09:01:24.3662938Z PyTorch built with: 2025-12-04T09:01:24.3663254Z - GCC 4.2 2025-12-04T09:01:24.3663503Z - C++ Version: 201703 2025-12-04T09:01:24.3663787Z - clang 12.0.1 2025-12-04T09:01:24.3664352Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-12-04T09:01:24.3665106Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-12-04T09:01:24.3665550Z - OpenMP 201811 2025-12-04T09:01:24.3665822Z - LAPACK is enabled (usually provided by MKL) 2025-12-04T09:01:24.3666166Z - NNPACK is enabled 2025-12-04T09:01:24.3666438Z - CPU capability usage: AVX512 2025-12-04T09:01:24.3671923Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=35b7a9a26c5923d98aebaa41a031dae21788a9ee, CXX_COMPILER=/opt/cache/bin/clang++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -DC10_NODEPRECATED -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=braced-scalar-init -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wvla-extension -Wsuggest-override -Wnewline-eof -Winconsistent-missing-override -Winconsistent-missing-destructor-override -Wno-pass-failed -Wno-error=old-style-cast -Wconstant-conversion -Qunused-arguments -faligned-new -Werror -fno-math-errno -fno-trapping-math -Werror=format, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.10.0, USE_CUDA=OFF, USE_CUDNN=OFF, USE_CUSPARSELT=OFF, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, 2025-12-04T09:01:24.3677544Z 2025-12-04T09:01:24.6332559Z + cd test 2025-12-04T09:01:24.6332967Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-12-04T09:01:25.7868977Z ATen/Parallel: 2025-12-04T09:01:25.7869614Z at::get_num_threads() : 8 2025-12-04T09:01:25.7869948Z at::get_num_interop_threads() : 8 2025-12-04T09:01:25.7870234Z OpenMP 201811 2025-12-04T09:01:25.7870479Z omp_get_max_threads() : 8 2025-12-04T09:01:25.7871068Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-12-04T09:01:25.7871678Z mkl_get_max_threads() : 8 2025-12-04T09:01:25.7872070Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-12-04T09:01:25.7872527Z std::thread::hardware_concurrency() : 16 2025-12-04T09:01:25.7872844Z Environment variables: 2025-12-04T09:01:25.7873105Z OMP_NUM_THREADS : [not set] 2025-12-04T09:01:25.7873382Z MKL_NUM_THREADS : [not set] 2025-12-04T09:01:25.7873784Z ATen parallel backend: OpenMP 2025-12-04T09:01:25.7873992Z 2025-12-04T09:01:26.0387641Z + [[ default == *numpy_2* ]] 2025-12-04T09:01:26.0388106Z + [[ linux-jammy-py3.10-clang12 == *aarch64* ]] 2025-12-04T09:01:26.0388495Z + [[ default == *backward* ]] 2025-12-04T09:01:26.0388877Z + [[ default == *libtorch_agnostic_targetting* ]] 2025-12-04T09:01:26.0389229Z + [[ default == *xla* ]] 2025-12-04T09:01:26.0389477Z + [[ default == *vllm* ]] 2025-12-04T09:01:26.0389750Z + [[ default == *executorch* ]] 2025-12-04T09:01:26.0390048Z + [[ default == \j\i\t\_\l\e\g\a\c\y ]] 2025-12-04T09:01:26.0390360Z + [[ default == \q\u\a\n\t\i\z\a\t\i\o\n ]] 2025-12-04T09:01:26.0390720Z + [[ linux-jammy-py3.10-clang12 == *libtorch* ]] 2025-12-04T09:01:26.0391070Z + [[ default == distributed ]] 2025-12-04T09:01:26.0391354Z + [[ default == *operator_benchmark* ]] 2025-12-04T09:01:26.0391689Z + [[ default == *operator_microbenchmark* ]] 2025-12-04T09:01:26.0392043Z + [[ default == *attention_microbenchmark* ]] 2025-12-04T09:01:26.0392400Z + [[ default == *inductor_distributed* ]] 2025-12-04T09:01:26.0392733Z + [[ default == *inductor-halide* ]] 2025-12-04T09:01:26.0393049Z + [[ default == *inductor-pallas* ]] 2025-12-04T09:01:26.0393372Z + [[ default == *inductor-triton-cpu* ]] 2025-12-04T09:01:26.0393716Z + [[ default == *inductor-micro-benchmark* ]] 2025-12-04T09:01:26.0394092Z + [[ default == *aoti_cross_compile_for_windows* ]] 2025-12-04T09:01:26.0394453Z + [[ default == *huggingface* ]] 2025-12-04T09:01:26.0394733Z + [[ default == *timm* ]] 2025-12-04T09:01:26.0395003Z + [[ default == cachebench ]] 2025-12-04T09:01:26.0395295Z + [[ default == verify_cachebench ]] 2025-12-04T09:01:26.0395597Z + [[ default == *torchbench* ]] 2025-12-04T09:01:26.0395898Z + [[ default == *inductor_cpp_wrapper* ]] 2025-12-04T09:01:26.0396232Z + [[ default == *inductor_core* ]] 2025-12-04T09:01:26.0396517Z + [[ default == *inductor* ]] 2025-12-04T09:01:26.0396795Z + [[ default == *einops* ]] 2025-12-04T09:01:26.0397069Z + [[ default == *dynamo_core* ]] 2025-12-04T09:01:26.0397357Z + [[ default == *dynamo_wrapped* ]] 2025-12-04T09:01:26.0397683Z + [[ linux-jammy-py3.10-clang12 == *rocm* ]] 2025-12-04T09:01:26.0397997Z + [[ 1 == 1 ]] 2025-12-04T09:01:26.0398228Z + [[ 5 -gt 1 ]] 2025-12-04T09:01:26.0398475Z + test_lazy_tensor_meta_reference_disabled 2025-12-04T09:01:26.0398878Z + export TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE=1 2025-12-04T09:01:26.0399317Z + TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE=1 2025-12-04T09:01:26.0399753Z + echo 'Testing lazy tensor operations without meta reference' 2025-12-04T09:01:26.0400215Z Testing lazy tensor operations without meta reference 2025-12-04T09:01:26.0400701Z + python test/run_test.py --include lazy/test_ts_opinfo.py --verbose 2025-12-04T09:01:30.8367883Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T09:01:30.8982989Z Ignoring disabled issues: [''] 2025-12-04T09:01:30.9088852Z Found test times from artifacts 2025-12-04T09:01:30.9476011Z Found test times from artifacts 2025-12-04T09:01:30.9488674Z Running all tests 2025-12-04T09:01:30.9492105Z Running parallel tests on 3 processes 2025-12-04T09:01:30.9492519Z Name: tests to run (est. time: 0.37min) 2025-12-04T09:01:30.9493103Z Serial tests (0): 2025-12-04T09:01:30.9493355Z Parallel tests (1): 2025-12-04T09:01:30.9493606Z lazy/test_ts_opinfo 1/1 2025-12-04T09:01:30.9493890Z Name: excluded (est. time: 0.0min) 2025-12-04T09:01:30.9494257Z Serial tests (0): 2025-12-04T09:01:30.9494547Z Parallel tests (0): 2025-12-04T09:01:30.9494976Z Running lazy/test_ts_opinfo 1/1 ... [2025-12-04 09:01:30.949372][693.914458781] 2025-12-04T09:01:30.9495443Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:01:30.9499843Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_ts_opinfo.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:01:30.949773] 2025-12-04T09:01:35.8700541Z 2025-12-04T09:01:35.8701963Z 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_253cb28753c78347_.log 2025-12-04T09:01:35.8702750Z Running 0 items in this shard: 2025-12-04T09:01:35.8702943Z 2025-12-04T09:01:35.8703213Z Finished lazy/test_ts_opinfo 1/1 ... [2025-12-04 09:01:35.870020][698.835105637], took 0.08min 2025-12-04T09:01:35.8708038Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-90008de44ef1bcab.xml 2025-12-04T09:01:36.2827815Z Uploading artifacts took 0.12 seconds 2025-12-04T09:01:39.0528860Z Running lazy/test_ts_opinfo 1/1 ... [2025-12-04 09:01:39.052501][702.017585756] 2025-12-04T09:01:39.0529379Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:01:39.0531781Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_ts_opinfo.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:01:39.052901] 2025-12-04T09:01:43.7632124Z 2025-12-04T09:01:43.7633054Z 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_d66d26c31ad4c6e0_.log 2025-12-04T09:01:43.7633896Z Running 0 items in this shard: 2025-12-04T09:01:43.7634105Z 2025-12-04T09:01:43.7634376Z Finished lazy/test_ts_opinfo 1/1 ... [2025-12-04 09:01:43.763198][706.728281668], took 0.08min 2025-12-04T09:01:43.7643791Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-4048e3d072c320ac.xml 2025-12-04T09:01:44.5264189Z Running test batch 'tests to run' cost 13.58 seconds 2025-12-04T09:01:45.1512887Z 2025-12-04T09:01:45.1513378Z real 0m19.112s 2025-12-04T09:01:45.1513652Z user 0m26.727s 2025-12-04T09:01:45.1513886Z sys 0m6.944s 2025-12-04T09:01:45.1514283Z + export -n TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE 2025-12-04T09:01:45.1514693Z + test_without_numpy 2025-12-04T09:01:45.1517681Z ++ dirname .ci/pytorch/test.sh 2025-12-04T09:01:45.1529518Z + pushd .ci/pytorch 2025-12-04T09:01:45.1529843Z ~/workspace/.ci/pytorch ~/workspace 2025-12-04T09:01:45.1530775Z + 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())' 2025-12-04T09:01:45.7794172Z /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.) 2025-12-04T09:01:45.7795663Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-12-04T09:01:46.4563231Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');import torch;print(torch.tensor([torch.tensor(0.), torch.tensor(1.)]))' 2025-12-04T09:01:47.0901459Z /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.) 2025-12-04T09:01:47.0903015Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-12-04T09:01:47.5419475Z tensor([0., 1.]) 2025-12-04T09:01:47.7746826Z + [[ default == *dynamo_wrapped* ]] 2025-12-04T09:01:47.7747416Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');import torch; import torch.onnx' 2025-12-04T09:01:48.3936264Z /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.) 2025-12-04T09:01:48.3938080Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-12-04T09:01:49.1035752Z + popd 2025-12-04T09:01:49.1036146Z ~/workspace 2025-12-04T09:01:49.1036373Z + install_torchvision 2025-12-04T09:01:49.1036644Z + local orig_preload 2025-12-04T09:01:49.1036875Z + local commit 2025-12-04T09:01:49.1039077Z ++ get_pinned_commit vision 2025-12-04T09:01:49.1039444Z ++ cat .github/ci_commit_pins/vision.txt 2025-12-04T09:01:49.1066889Z + commit=617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:01:49.1067347Z + orig_preload= 2025-12-04T09:01:49.1067594Z + '[' -n '' ']' 2025-12-04T09:01:49.1067879Z + [[ linux-jammy-py3.10-clang12 == *cuda* ]] 2025-12-04T09:01:49.1068602Z + pip_build_and_install git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e dist/vision 2025-12-04T09:01:49.1069649Z + local build_target=git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:01:49.1070317Z + local wheel_dir=dist/vision 2025-12-04T09:01:49.1070602Z + local found_whl=0 2025-12-04T09:01:49.1070846Z + for file in "${wheel_dir}"/*.whl 2025-12-04T09:01:49.1071222Z + [[ -f dist/vision/*.whl ]] 2025-12-04T09:01:49.1071492Z + '[' 0 == 0 ']' 2025-12-04T09:01:49.1072243Z + python3 -m pip wheel --no-build-isolation --no-deps -w dist/vision git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:01:49.4219891Z Collecting git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:01:49.4224372Z Cloning https://github.com/pytorch/vision.git (to revision 617079d944b0e72632311c30ae2bbdf1168b901e) to /tmp/pip-req-build-sgsaamlw 2025-12-04T09:01:49.4393595Z Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-sgsaamlw 2025-12-04T09:01:51.1471641Z Running command git rev-parse -q --verify 'sha^617079d944b0e72632311c30ae2bbdf1168b901e' 2025-12-04T09:01:51.1493758Z Running command git fetch -q https://github.com/pytorch/vision.git 617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:01:51.2513605Z Resolved https://github.com/pytorch/vision.git to commit 617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:01:52.9578505Z Preparing metadata (pyproject.toml) ... [?25l- \ done 2025-12-04T09:01:52.9613294Z [?25hBuilding wheels for collected packages: torchvision 2025-12-04T09:02:43.4034052Z Building wheel for torchvision (pyproject.toml) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - done 2025-12-04T09:02:43.4075673Z [?25h Created wheel for torchvision: filename=torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl size=1162537 sha256=d6bb3d4fc84958c6243d147b5f4228eedd037dc9b41ff2898e25a741d60c4784 2025-12-04T09:02:43.4077100Z Stored in directory: /var/lib/jenkins/.cache/pip/wheels/12/b2/29/1f82685c5b5173629e1f36a9b93989ce92ce563e5fb91d27ac 2025-12-04T09:02:43.4120111Z Successfully built torchvision 2025-12-04T09:02:43.4954752Z + for file in "${wheel_dir}"/*.whl 2025-12-04T09:02:43.4955667Z + pip_install_whl dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T09:02:43.4956377Z + args=('dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl') 2025-12-04T09:02:43.4956870Z + local args 2025-12-04T09:02:43.4957268Z + [[ dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-12-04T09:02:43.4957780Z + for path in "${args[@]}" 2025-12-04T09:02:43.4958266Z + echo 'Installing dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl' 2025-12-04T09:02:43.4958979Z Installing dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T09:02:43.4959785Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T09:02:43.8201873Z Processing ./dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T09:02:43.8305442Z Installing collected packages: torchvision 2025-12-04T09:02:44.2770306Z Successfully installed torchvision-0.25.0a0+617079d 2025-12-04T09:02:44.3182400Z + '[' -n '' ']' 2025-12-04T09:02:44.3182666Z + test_python_shard 1 2025-12-04T09:02:44.3182918Z + [[ -z 5 ]] 2025-12-04T09:02:44.3183694Z + python test/run_test.py --exclude-jit-executor --exclude-distributed-tests --exclude-quantization-tests --shard 1 5 --verbose --upload-artifacts-while-running 2025-12-04T09:02:49.0507687Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T09:02:49.0605910Z Found test times from artifacts 2025-12-04T09:02:49.0993235Z Found test times from artifacts 2025-12-04T09:02:49.1005881Z Running all tests 2025-12-04T09:02:49.1584550Z Running parallel tests on 3 processes 2025-12-04T09:02:49.1591480Z Name: tests to run (est. time: 83.38min) 2025-12-04T09:02:49.1591963Z Serial tests (51): 2025-12-04T09:02:49.1592316Z dynamo/test_fake_distributed 1/1 2025-12-04T09:02:49.1592619Z test_torch 1/1 2025-12-04T09:02:49.1592937Z test_utils 1/1 2025-12-04T09:02:49.1593411Z test_ci_sanity_check_fail 1/1 2025-12-04T09:02:49.1593739Z test_fx 1/1 2025-12-04T09:02:49.1593980Z test_python_dispatch 1/1 2025-12-04T09:02:49.1594257Z test_tensor_creation_ops 1/1 2025-12-04T09:02:49.1594540Z test_nn 1/1 2025-12-04T09:02:49.1594787Z test_multiprocessing_spawn 1/1 2025-12-04T09:02:49.1595081Z nn/test_pooling 1/1 2025-12-04T09:02:49.1595341Z test_overrides 1/1 2025-12-04T09:02:49.1595596Z test_reductions 1/1 2025-12-04T09:02:49.1595848Z test_spectral_ops 1/1 2025-12-04T09:02:49.1596130Z inductor/test_max_autotune 1/1 2025-12-04T09:02:49.1596430Z doctests 1/1 2025-12-04T09:02:49.1596671Z inductor/test_flex_attention 1/5 2025-12-04T09:02:49.1596990Z inductor/test_flex_attention 2/5 2025-12-04T09:02:49.1597316Z inductor/test_flex_attention 3/5 2025-12-04T09:02:49.1597616Z inductor/test_flex_attention 4/5 2025-12-04T09:02:49.1597932Z inductor/test_flex_attention 5/5 2025-12-04T09:02:49.1598254Z inductor/test_cutlass_backend 1/1 2025-12-04T09:02:49.1598581Z inductor/test_benchmark_fusion 1/1 2025-12-04T09:02:49.1598905Z inductor/test_distributed_patterns 1/1 2025-12-04T09:02:49.1599235Z test_sort_and_select 1/1 2025-12-04T09:02:49.1599539Z test_privateuseone_python_backend 1/1 2025-12-04T09:02:49.1599858Z test_cpp_api_parity 1/1 2025-12-04T09:02:49.1600141Z test_extension_utils 1/1 2025-12-04T09:02:49.1600421Z test_show_pickle 1/1 2025-12-04T09:02:49.1600673Z test_tensorexpr 1/1 2025-12-04T09:02:49.1600944Z test_namedtuple_return_api 1/1 2025-12-04T09:02:49.1601245Z test_fake_tensor 1/1 2025-12-04T09:02:49.1601500Z test_multiprocessing 1/1 2025-12-04T09:02:49.1601786Z test_autograd_fallback 1/1 2025-12-04T09:02:49.1602071Z test_autocast 1/1 2025-12-04T09:02:49.1602309Z test_jit_disabled 1/1 2025-12-04T09:02:49.1602593Z test_cpp_extensions_mtia_backend 1/1 2025-12-04T09:02:49.1602943Z functorch/test_memory_efficient_fusion 1/1 2025-12-04T09:02:49.1603551Z test_cpp_extensions_stream_and_event 1/1 2025-12-04T09:02:49.1603875Z test_dispatch 1/1 2025-12-04T09:02:49.1604237Z nn/test_convolution 1/1 2025-12-04T09:02:49.1604525Z test_cpp_extensions_jit 1/1 2025-12-04T09:02:49.1604799Z test_cuda_trace 1/1 2025-12-04T09:02:49.1605052Z test_native_mha 1/1 2025-12-04T09:02:49.1605316Z test_cuda_nvml_based_avail 1/1 2025-12-04T09:02:49.1605607Z test_mobile_optimizer 1/1 2025-12-04T09:02:49.1605897Z test_cuda_primary_ctx 1/1 2025-12-04T09:02:49.1606200Z distributions/test_distributions 1/1 2025-12-04T09:02:49.1606516Z test_autoload_disable 1/1 2025-12-04T09:02:49.1606840Z test_autoload_enable 1/1 2025-12-04T09:02:49.1607218Z test_cpp_extensions_aot_ninja 1/1 2025-12-04T09:02:49.1607764Z test_cpp_extensions_aot_no_ninja 1/1 2025-12-04T09:02:49.1608086Z Parallel tests (48): 2025-12-04T09:02:49.1608368Z inductor/test_collective_autotuning 1/1 2025-12-04T09:02:49.1608698Z inductor/test_cuda_repro 1/1 2025-12-04T09:02:49.1609008Z inductor/test_layout_optim 1/1 2025-12-04T09:02:49.1609322Z inductor/test_deterministic 1/1 2025-12-04T09:02:49.1609636Z inductor/test_b2b_gemm 1/1 2025-12-04T09:02:49.1609919Z inductor/test_autoheuristic 1/1 2025-12-04T09:02:49.1610236Z inductor/test_loop_ordering 1/1 2025-12-04T09:02:49.1610655Z inductor/test_coordinate_descent_tuner 1/1 2025-12-04T09:02:49.1611060Z inductor/test_control_deps 1/1 2025-12-04T09:02:49.1611388Z inductor/test_aot_inductor_custom_ops 1/1 2025-12-04T09:02:49.1611724Z inductor/test_memory 1/1 2025-12-04T09:02:49.1611993Z inductor/test_pallas 1/1 2025-12-04T09:02:49.1612276Z inductor/test_fxir_backend 1/1 2025-12-04T09:02:49.1612582Z test_varlen_attention 1/1 2025-12-04T09:02:49.1612853Z test_jiterator 1/1 2025-12-04T09:02:49.1613108Z test_ops_gradients 2/2 2025-12-04T09:02:49.1613383Z optim/test_lrscheduler 1/1 2025-12-04T09:02:49.1613647Z test_ops 4/6 2025-12-04T09:02:49.1613883Z functorch/test_ops 2/6 2025-12-04T09:02:49.1614158Z functorch/test_ops 4/6 2025-12-04T09:02:49.1614441Z functorch/test_aotdispatch 7/9 2025-12-04T09:02:49.1614736Z test_cuda_multigpu 1/1 2025-12-04T09:02:49.1615046Z torch_np/numpy_tests/lib/test_index_tricks 1/1 2025-12-04T09:02:49.1615403Z test_jit_autocast 1/1 2025-12-04T09:02:49.1615660Z nn/test_embedding 1/1 2025-12-04T09:02:49.1615934Z test_unary_ufuncs 1/1 2025-12-04T09:02:49.1616214Z test_xnnpack_integration 1/1 2025-12-04T09:02:49.1616549Z torch_np/numpy_tests/core/test_numerictypes 1/1 2025-12-04T09:02:49.1616916Z test_function_schema 1/1 2025-12-04T09:02:49.1617194Z nn/test_init 1/1 2025-12-04T09:02:49.1617482Z torch_np/numpy_tests/core/test_scalar_methods 1/1 2025-12-04T09:02:49.1617873Z torch_np/numpy_tests/fft/test_helper 1/1 2025-12-04T09:02:49.1618215Z torch_np/test_function_base 1/1 2025-12-04T09:02:49.1618516Z test_type_promotion 1/1 2025-12-04T09:02:49.1618812Z torch_np/test_scalars_0D_arrays 1/1 2025-12-04T09:02:49.1619154Z profiler/test_profiler_tree 1/1 2025-12-04T09:02:49.1619500Z torch_np/numpy_tests/lib/test_arraysetops 1/1 2025-12-04T09:02:49.1619831Z test_dlpack 1/1 2025-12-04T09:02:49.1620085Z profiler/test_torch_tidy 1/1 2025-12-04T09:02:49.1620381Z lazy/test_reuse_ir 1/1 2025-12-04T09:02:49.1620661Z test_functional_autograd_benchmark 1/1 2025-12-04T09:02:49.1620997Z torch_np/test_reductions 1/1 2025-12-04T09:02:49.1621330Z torch_np/numpy_tests/core/test_scalar_ctors 1/1 2025-12-04T09:02:49.1621699Z torch_np/numpy_tests/lib/test_arraypad 1/1 2025-12-04T09:02:49.1622028Z test_prims 1/1 2025-12-04T09:02:49.1622278Z profiler/test_python_tracer 1/1 2025-12-04T09:02:49.1622742Z cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility 1/1 2025-12-04T09:02:49.1623252Z test_torchfuzz_repros 1/1 2025-12-04T09:02:49.1623547Z Name: excluded (est. time: 0.0min) 2025-12-04T09:02:49.1623845Z Serial tests (0): 2025-12-04T09:02:49.1624191Z Parallel tests (0): 2025-12-04T09:02:49.1624643Z Running dynamo/test_fake_distributed 1/1 ... [2025-12-04 09:02:49.160621][772.125709498] 2025-12-04T09:02:49.1625150Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:02:49.1626420Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_fake_distributed.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:02:49.160985] 2025-12-04T09:02:52.4220317Z 2025-12-04T09:02:52.4221437Z 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_0999724be7b65585_.log 2025-12-04T09:02:52.4222662Z Running 0 items in this shard: 2025-12-04T09:02:52.4222855Z 2025-12-04T09:02:52.4223190Z Finished dynamo/test_fake_distributed 1/1 ... [2025-12-04 09:02:52.421997][775.387080728], took 0.05min 2025-12-04T09:02:52.4230956Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_fake_distributed/dynamo.test_fake_distributed-a9335aa639a55159.xml 2025-12-04T09:02:52.8031358Z Uploading artifacts took 0.11 seconds 2025-12-04T09:02:52.8034542Z Running test_torch 1/1 ... [2025-12-04 09:02:52.803294][775.7683797] 2025-12-04T09:02:52.8035006Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:02:52.8038698Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_torch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:02:52.803637] 2025-12-04T09:03:13.2359637Z 2025-12-04T09:03:13.2360428Z test_torch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_torch_1.1_ffc74c2eb405a82b_.log 2025-12-04T09:03:13.2409887Z Running 200 items in this shard: test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, 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test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu 2025-12-04T09:03:13.2458978Z 2025-12-04T09:03:13.2459218Z Finished test_torch 1/1 ... [2025-12-04 09:03:13.235913][796.200997445], took 0.34min 2025-12-04T09:03:13.2460143Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_torch/test_torch-d16d2b29975c8968.xml 2025-12-04T09:03:13.3214139Z Running test_utils 1/1 ... [2025-12-04 09:03:13.321112][796.28619588] 2025-12-04T09:03:13.3214573Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:03:13.3216928Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_utils.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:03:13.321471] 2025-12-04T09:03:28.5292573Z 2025-12-04T09:03:28.5293366Z test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_utils_1.1_561be9af98bd263e_.log 2025-12-04T09:03:28.5319088Z Running 100 items in this shard: test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_random_seed 2025-12-04T09:03:28.5344172Z 2025-12-04T09:03:28.5344402Z Finished test_utils 1/1 ... [2025-12-04 09:03:28.529187][811.49427354], took 0.25min 2025-12-04T09:03:28.5345365Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_utils/test_utils-9d72d00a458ea4bc.xml 2025-12-04T09:03:28.6048256Z Running test_ci_sanity_check_fail 1/1 ... [2025-12-04 09:03:28.604598][811.569682476] 2025-12-04T09:03:28.6048735Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:03:28.6051962Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ci_sanity_check_fail.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:03:28.604960] 2025-12-04T09:03:31.5738777Z Finished test_ci_sanity_check_fail 1/1 ... [2025-12-04 09:03:31.573515][814.538592837], took 0.05min 2025-12-04T09:03:31.5750469Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ci_sanity_check_fail/test_ci_sanity_check_fail-45168a2cd330c796.xml 2025-12-04T09:03:31.7740958Z Uploading logs for 57116258200 to S3 2025-12-04T09:03:31.8253524Z Uploading artifacts took 0.22 seconds 2025-12-04T09:03:31.8253915Z test_ci_sanity_check_fail 1/1 failed! 2025-12-04T09:03:31.8257338Z Running test_fx 1/1 ... [2025-12-04 09:03:31.825591][814.790675222] 2025-12-04T09:03:31.8257756Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:03:31.8261959Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_fx.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:03:31.825970] 2025-12-04T09:06:49.1397376Z 2025-12-04T09:06:49.1398235Z test_fx 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_1.1_bf9df84ee1baaf9c_.log 2025-12-04T09:06:49.1424523Z Running 100 items in this shard: test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7 2025-12-04T09:06:49.1450248Z 2025-12-04T09:06:49.1450476Z Finished test_fx 1/1 ... [2025-12-04 09:06:49.139700][1012.104780843], took 3.29min 2025-12-04T09:06:49.1451342Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fx/test_fx-7c2ef62ee9208f60.xml 2025-12-04T09:06:49.2276213Z Running test_python_dispatch 1/1 ... [2025-12-04 09:06:49.227359][1012.192443596] 2025-12-04T09:06:49.2276689Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:06:49.2279633Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_python_dispatch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:06:49.227728] 2025-12-04T09:06:53.8133400Z 2025-12-04T09:06:53.8134254Z test_python_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_python_dispatch_1.1_7fe539f91b172168_.log 2025-12-04T09:06:53.8135035Z Running 0 items in this shard: 2025-12-04T09:06:53.8135247Z 2025-12-04T09:06:53.8135526Z Finished test_python_dispatch 1/1 ... [2025-12-04 09:06:53.813167][1016.778252615], took 0.08min 2025-12-04T09:06:53.8148331Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_python_dispatch/test_python_dispatch-f23b596a3465412d.xml 2025-12-04T09:06:53.8394213Z Running test_tensor_creation_ops 1/1 ... [2025-12-04 09:06:53.839171][1016.804257626] 2025-12-04T09:06:53.8394709Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:06:53.8397251Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_tensor_creation_ops.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:06:53.839503] 2025-12-04T09:06:58.3539932Z 2025-12-04T09:06:58.3540861Z test_tensor_creation_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensor_creation_ops_1.1_e54be3d7cb8835c5_.log 2025-12-04T09:06:58.3541689Z Running 0 items in this shard: 2025-12-04T09:06:58.3541881Z 2025-12-04T09:06:58.3542177Z Finished test_tensor_creation_ops 1/1 ... [2025-12-04 09:06:58.353802][1021.318887951], took 0.08min 2025-12-04T09:06:58.3556739Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_tensor_creation_ops/test_tensor_creation_ops-da24a3385b128e79.xml 2025-12-04T09:06:58.3784408Z Running test_nn 1/1 ... [2025-12-04 09:06:58.378265][1021.343350525] 2025-12-04T09:06:58.3784833Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:06:58.3788034Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_nn.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:06:58.378601] 2025-12-04T09:07:06.1467894Z 2025-12-04T09:07:06.1468827Z test_nn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_nn_1.1_4446a7417947eb2f_.log 2025-12-04T09:07:06.1469495Z Running 0 items in this shard: 2025-12-04T09:07:06.1469688Z 2025-12-04T09:07:06.1469911Z Finished test_nn 1/1 ... [2025-12-04 09:07:06.146635][1029.111719506], took 0.13min 2025-12-04T09:07:06.1485567Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_nn/test_nn-28b4032f41b516b3.xml 2025-12-04T09:07:06.2144269Z Running test_multiprocessing_spawn 1/1 ... [2025-12-04 09:07:06.214134][1029.17921927] 2025-12-04T09:07:06.2144811Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:07:06.2147327Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_multiprocessing_spawn.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:07:06.214493] 2025-12-04T09:07:14.2488333Z 2025-12-04T09:07:14.2489300Z test_multiprocessing_spawn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_spawn_1.1_6b1f3267559b6baf_.log 2025-12-04T09:07:14.2490137Z Running 0 items in this shard: 2025-12-04T09:07:14.2490341Z 2025-12-04T09:07:14.2490654Z Finished test_multiprocessing_spawn 1/1 ... [2025-12-04 09:07:14.248631][1037.213716331], took 0.13min 2025-12-04T09:07:14.2507233Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_multiprocessing_spawn/test_multiprocessing_spawn-e559bc0fe90e9b07.xml 2025-12-04T09:07:14.3279522Z Running nn/test_pooling 1/1 ... [2025-12-04 09:07:14.327644][1037.292727696] 2025-12-04T09:07:14.3280033Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:07:14.3282443Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_pooling.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:07:14.328003] 2025-12-04T09:07:17.8083786Z 2025-12-04T09:07:17.8084765Z nn/test_pooling 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pooling_1.1_173acdb6d3be5f47_.log 2025-12-04T09:07:17.8085519Z Running 0 items in this shard: 2025-12-04T09:07:17.8085721Z 2025-12-04T09:07:17.8086002Z Finished nn/test_pooling 1/1 ... [2025-12-04 09:07:17.808214][1040.773299491], took 0.06min 2025-12-04T09:07:17.8104019Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_pooling/nn.test_pooling-83b34745d5c5acc1.xml 2025-12-04T09:07:17.8425231Z Running test_overrides 1/1 ... [2025-12-04 09:07:17.842298][1040.807383313] 2025-12-04T09:07:17.8425736Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:07:17.8438288Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_overrides.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:07:17.842623] 2025-12-04T09:07:24.2903769Z 2025-12-04T09:07:24.2904747Z test_overrides 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_overrides_1.1_3e9f3e9d1411fc5e_.log 2025-12-04T09:07:24.2984625Z Running 250 items in this shard: test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_getitem_call, test/test_overrides.py::TestTorchFunctionMode::test_modes_handle_first, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, 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_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_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_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_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_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_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_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api 2025-12-04T09:07:24.3064319Z 2025-12-04T09:07:24.3064626Z Finished test_overrides 1/1 ... [2025-12-04 09:07:24.290472][1047.255557367], took 0.11min 2025-12-04T09:07:24.3065614Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_overrides/test_overrides-6aa076f27f15d22a.xml 2025-12-04T09:07:24.3791305Z Running test_reductions 1/1 ... [2025-12-04 09:07:24.378767][1047.343850484] 2025-12-04T09:07:24.3791813Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:07:24.3793625Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_reductions.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:07:24.379133] 2025-12-04T09:07:37.0465616Z 2025-12-04T09:07:37.0466937Z test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_reductions_1.1_b8bf077c6ce2ac75_.log 2025-12-04T09:07:37.0483615Z Running 50 items in this shard: test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64 2025-12-04T09:07:37.0498373Z 2025-12-04T09:07:37.0498639Z Finished test_reductions 1/1 ... [2025-12-04 09:07:37.046429][1060.011512814], took 0.21min 2025-12-04T09:07:37.0499638Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_reductions/test_reductions-bc135a594b938ea5.xml 2025-12-04T09:07:37.1424981Z Running test_spectral_ops 1/1 ... [2025-12-04 09:07:37.142231][1060.107316043] 2025-12-04T09:07:37.1425467Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:07:37.1428046Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_spectral_ops.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:07:37.142586] 2025-12-04T09:07:42.0127536Z 2025-12-04T09:07:42.0128377Z test_spectral_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_spectral_ops_1.1_704a3534d7b2b092_.log 2025-12-04T09:07:42.0129164Z Running 0 items in this shard: 2025-12-04T09:07:42.0129354Z 2025-12-04T09:07:42.0129623Z Finished test_spectral_ops 1/1 ... [2025-12-04 09:07:42.012552][1064.977637564], took 0.08min 2025-12-04T09:07:42.0151934Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_spectral_ops/test_spectral_ops-6eeeeeff85c0e23c.xml 2025-12-04T09:07:42.0406515Z Running inductor/test_max_autotune 1/1 ... [2025-12-04 09:07:42.040450][1065.005536299] 2025-12-04T09:07:42.0407026Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:07:42.0409834Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_max_autotune.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:07:42.040768] 2025-12-04T09:07:52.5652780Z 2025-12-04T09:07:52.5653812Z inductor/test_max_autotune 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_max_autotune_1.1_47c2c90e833d5a21_.log 2025-12-04T09:07:52.5654546Z 2025-12-04T09:07:52.5655120Z Finished inductor/test_max_autotune 1/1 ... [2025-12-04 09:07:52.565081][1075.530165047], took 0.18min 2025-12-04T09:07:52.5680403Z Running doctests 1/1 ... [2025-12-04 09:07:52.567880][1075.532967542] 2025-12-04T09:07:53.0832692Z msg = Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=368. 2025-12-04T09:07:53.0833592Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:53.0834207Z Registers the function implementation as the fallback for the given key. 2025-12-04T09:07:53.0834567Z 2025-12-04T09:07:53.0834790Z This function only works for a library with global namespace ("_"). 2025-12-04T09:07:53.0835154Z 2025-12-04T09:07:53.0835242Z Args: 2025-12-04T09:07:53.0835981Z fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel` 2025-12-04T09:07:53.0836508Z to register a fallthrough. 2025-12-04T09:07:53.0837062Z dispatch_key: dispatch key that the input function should be registered for. By default, it uses 2025-12-04T09:07:53.0837675Z the dispatch key that the library was created with. 2025-12-04T09:07:53.0838332Z with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument 2025-12-04T09:07:53.0839160Z to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls. 2025-12-04T09:07:53.0839600Z 2025-12-04T09:07:53.0839721Z Example:: 2025-12-04T09:07:53.0839871Z 2025-12-04T09:07:53.0839979Z >>> my_lib = Library("_", "IMPL") 2025-12-04T09:07:53.0840335Z >>> def fallback_kernel(op, *args, **kwargs): 2025-12-04T09:07:53.0840701Z >>> # Handle all autocast ops generically 2025-12-04T09:07:53.0841034Z >>> # ... 2025-12-04T09:07:53.0841339Z >>> my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T09:07:53.0841683Z 2025-12-04T09:07:53.0842435Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7)) 2025-12-04T09:07:53.0843188Z 2025-12-04T09:07:53.0843319Z my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T09:07:53.0843646Z ^ 2025-12-04T09:07:53.0971122Z msg = Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=958. 2025-12-04T09:07:53.0972001Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:53.0972590Z Register a FakeTensor implementation ("fake impl") for this operator. 2025-12-04T09:07:53.0972947Z 2025-12-04T09:07:53.0973138Z Also sometimes known as a "meta kernel", "abstract impl". 2025-12-04T09:07:53.0973428Z 2025-12-04T09:07:53.0973687Z An "FakeTensor implementation" specifies the behavior of this operator on 2025-12-04T09:07:53.0974270Z Tensors that carry no data ("FakeTensor"). Given some input Tensors with 2025-12-04T09:07:53.0974850Z certain properties (sizes/strides/storage_offset/device), it specifies 2025-12-04T09:07:53.0975351Z what the properties of the output Tensors are. 2025-12-04T09:07:53.0975603Z 2025-12-04T09:07:53.0975893Z The FakeTensor implementation has the same signature as the operator. 2025-12-04T09:07:53.0976512Z It is run for both FakeTensors and meta tensors. To write a FakeTensor 2025-12-04T09:07:53.0977135Z implementation, assume that all Tensor inputs to the operator are 2025-12-04T09:07:53.0977688Z regular CPU/CUDA/Meta tensors, but they do not have storage, and 2025-12-04T09:07:53.0978213Z you are trying to return regular CPU/CUDA/Meta tensor(s) as output. 2025-12-04T09:07:53.0978781Z The FakeTensor implementation must consist of only PyTorch operations 2025-12-04T09:07:53.0979313Z (and may not directly access the storage or data of any input or 2025-12-04T09:07:53.0979726Z intermediate Tensors). 2025-12-04T09:07:53.0980065Z 2025-12-04T09:07:53.0980230Z This API may be used as a decorator (see examples). 2025-12-04T09:07:53.0980492Z 2025-12-04T09:07:53.0980640Z For a detailed guide on custom ops, please see 2025-12-04T09:07:53.0981127Z https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html 2025-12-04T09:07:53.0981482Z 2025-12-04T09:07:53.0981566Z Args: 2025-12-04T09:07:53.0981904Z op_name: Operator name (along with the overload) or OpOverload object. 2025-12-04T09:07:53.0982352Z func: Fake tensor implementation. 2025-12-04T09:07:53.0982776Z lib (Optional[Library]): Library to register the fake tensor to. 2025-12-04T09:07:53.0983276Z allow_override: Flag controlling if we want to override an 2025-12-04T09:07:53.0983852Z existing registered fake impl. This is by default off, 2025-12-04T09:07:53.0984305Z and will error you're trying to register a fake impl to 2025-12-04T09:07:53.0984775Z an operator that already has a fake impl. This also only 2025-12-04T09:07:53.0985230Z applies if the custom operator was not created via 2025-12-04T09:07:53.0985688Z torch.library.custom_op, as overriding and existing fake 2025-12-04T09:07:53.0986117Z impl is already allowed. 2025-12-04T09:07:53.0986342Z 2025-12-04T09:07:53.0986443Z Examples: 2025-12-04T09:07:53.0986669Z >>> import torch 2025-12-04T09:07:53.0986926Z >>> import numpy as np 2025-12-04T09:07:53.0987216Z >>> from torch import Tensor 2025-12-04T09:07:53.0987505Z >>> 2025-12-04T09:07:53.0987799Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T09:07:53.0988343Z >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=()) 2025-12-04T09:07:53.0988900Z >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T09:07:53.0989412Z >>> raise NotImplementedError("Implementation goes here") 2025-12-04T09:07:53.0989792Z >>> 2025-12-04T09:07:53.0990082Z >>> @torch.library.register_fake("mylib::custom_linear") 2025-12-04T09:07:53.0990474Z >>> def _(x, weight, bias): 2025-12-04T09:07:53.0990771Z >>> assert x.dim() == 2 2025-12-04T09:07:53.0991080Z >>> assert weight.dim() == 2 2025-12-04T09:07:53.0991404Z >>> assert bias.dim() == 1 2025-12-04T09:07:53.0991726Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T09:07:53.0992096Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T09:07:53.0992455Z >>> assert x.device == weight.device 2025-12-04T09:07:53.0992763Z >>> 2025-12-04T09:07:53.0992999Z >>> return (x @ weight.t()) + bias 2025-12-04T09:07:53.0993307Z >>> 2025-12-04T09:07:53.0993581Z >>> with torch._subclasses.fake_tensor.FakeTensorMode(): 2025-12-04T09:07:53.0993967Z >>> x = torch.randn(2, 3) 2025-12-04T09:07:53.0994276Z >>> w = torch.randn(3, 3) 2025-12-04T09:07:53.0994578Z >>> b = torch.randn(3) 2025-12-04T09:07:53.0994896Z >>> y = torch.ops.mylib.custom_linear(x, w, b) 2025-12-04T09:07:53.0995230Z >>> 2025-12-04T09:07:53.0995449Z >>> assert y.shape == (2, 3) 2025-12-04T09:07:53.0995721Z >>> 2025-12-04T09:07:53.0996015Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T09:07:53.0996530Z >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=()) 2025-12-04T09:07:53.0996984Z >>> def custom_nonzero(x: Tensor) -> Tensor: 2025-12-04T09:07:53.0997342Z >>> x_np = x.numpy(force=True) 2025-12-04T09:07:53.0997688Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T09:07:53.0998070Z >>> return torch.tensor(res, device=x.device) 2025-12-04T09:07:53.0998389Z >>> 2025-12-04T09:07:53.0998768Z >>> @torch.library.register_fake("mylib::custom_nonzero") 2025-12-04T09:07:53.0999142Z >>> def _(x): 2025-12-04T09:07:53.0999430Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T09:07:53.0999847Z >>> # Since we cannot peek at the data in an fake impl, 2025-12-04T09:07:53.1000271Z >>> # we use the ctx object to construct a new symint that 2025-12-04T09:07:53.1000659Z >>> # represents the data-dependent size. 2025-12-04T09:07:53.1001017Z >>> ctx = torch.library.get_ctx() 2025-12-04T09:07:53.1001356Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T09:07:53.1001680Z >>> shape = [nnz, x.dim()] 2025-12-04T09:07:53.1002027Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T09:07:53.1002391Z >>> return result 2025-12-04T09:07:53.1002733Z >>> 2025-12-04T09:07:53.1003025Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2025-12-04T09:07:53.1003411Z >>> 2025-12-04T09:07:53.1003651Z >>> x = torch.tensor([0, 1, 2, 3, 4, 0]) 2025-12-04T09:07:53.1004218Z >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x) 2025-12-04T09:07:53.1004698Z >>> trace.print_readable() 2025-12-04T09:07:53.1004982Z >>> 2025-12-04T09:07:53.1005314Z >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x)) 2025-12-04T09:07:53.1005666Z 2025-12-04T09:07:53.1005744Z 2025-12-04T09:07:53.1006392Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('', 38, 1, '_._ = None\n', 38, 2)) 2025-12-04T09:07:53.1007036Z 2025-12-04T09:07:53.1007126Z _._ = None 2025-12-04T09:07:53.1007340Z ^ 2025-12-04T09:07:53.1108685Z msg = Cannot scrape callname=get_kernel in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=1530. 2025-12-04T09:07:53.1109532Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:53.1110113Z Returns the computed kernel for a given operator and dispatch key. 2025-12-04T09:07:53.1110448Z 2025-12-04T09:07:53.1110669Z This function retrieves the kernel that would be executed for a given 2025-12-04T09:07:53.1111242Z operator and dispatch key combination. The returned SafeKernelFunction 2025-12-04T09:07:53.1111773Z can be used to call the kernel in a boxed fashion. The intended use 2025-12-04T09:07:53.1112292Z case for this function is to retrieve the original kernel for a given 2025-12-04T09:07:53.1112841Z dispatch key and then register another kernel to the same dispatch key 2025-12-04T09:07:53.1113332Z that calls into the original kernel for certain cases. 2025-12-04T09:07:53.1113615Z 2025-12-04T09:07:53.1113698Z Args: 2025-12-04T09:07:53.1114014Z op: Operator name (along with the overload) or OpOverload object 2025-12-04T09:07:53.1114574Z Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef. 2025-12-04T09:07:53.1115165Z dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for. 2025-12-04T09:07:53.1115737Z Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value. 2025-12-04T09:07:53.1116058Z 2025-12-04T09:07:53.1116144Z Returns: 2025-12-04T09:07:53.1116510Z torch._C._SafeKernelFunction: A safe kernel function that can be used to 2025-12-04T09:07:53.1116957Z call the kernel. 2025-12-04T09:07:53.1117141Z 2025-12-04T09:07:53.1117222Z Raises: 2025-12-04T09:07:53.1117485Z RuntimeError: If the operator does not exist. 2025-12-04T09:07:53.1117736Z 2025-12-04T09:07:53.1117818Z Example: 2025-12-04T09:07:53.1118060Z >>> # Get the CPU kernel for torch.add 2025-12-04T09:07:53.1118481Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU") 2025-12-04T09:07:53.1118866Z >>> 2025-12-04T09:07:53.1119107Z >>> # You can also use DispatchKey enum 2025-12-04T09:07:53.1119789Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU) 2025-12-04T09:07:53.1120259Z >>> 2025-12-04T09:07:53.1120480Z >>> # Or use an OpOverload directly 2025-12-04T09:07:53.1120933Z >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU") 2025-12-04T09:07:53.1121368Z >>> 2025-12-04T09:07:53.1121691Z >>> # Example: Using get_kernel in a custom op with conditional dispatch 2025-12-04T09:07:53.1122152Z >>> # Get the original kernel for torch.sin 2025-12-04T09:07:53.1122606Z >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU") 2025-12-04T09:07:53.1123024Z >>> 2025-12-04T09:07:53.1123357Z >>> # If input has negative values, use original sin, otherwise return zeros 2025-12-04T09:07:53.1123840Z >>> def conditional_sin_impl(dispatch_keys, x): 2025-12-04T09:07:53.1124409Z >>> if (x < 0).any(): 2025-12-04T09:07:53.1124770Z >>> return original_sin_kernel.call_boxed(dispatch_keys, x) 2025-12-04T09:07:53.1125166Z >>> else: 2025-12-04T09:07:53.1125431Z >>> return torch.zeros_like(x) 2025-12-04T09:07:53.1125729Z >>> 2025-12-04T09:07:53.1125983Z >>> lib = torch.library.Library("aten", "IMPL") 2025-12-04T09:07:53.1126495Z >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet 2025-12-04T09:07:53.1127066Z >>> which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T09:07:53.1127550Z >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True) 2025-12-04T09:07:53.1127942Z >>> 2025-12-04T09:07:53.1128172Z >>> # Test the conditional behavior 2025-12-04T09:07:53.1128504Z >>> x_positive = torch.tensor([1.0, 2.0]) 2025-12-04T09:07:53.1128850Z >>> x_mixed = torch.tensor([-1.0, 2.0]) 2025-12-04T09:07:53.1129181Z >>> torch.sin(x_positive) 2025-12-04T09:07:53.1129458Z tensor([0., 0.]) 2025-12-04T09:07:53.1129732Z >>> torch.sin(x_mixed) 2025-12-04T09:07:53.1130011Z tensor([-0.8415, 0.9093]) 2025-12-04T09:07:53.1130267Z 2025-12-04T09:07:53.1130859Z Original Error: SyntaxError('invalid syntax', ('', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12)) 2025-12-04T09:07:53.1131465Z 2025-12-04T09:07:53.1131639Z which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T09:07:53.1132024Z ^ 2025-12-04T09:07:53.4149034Z 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. 2025-12-04T09:07:53.4150112Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:53.4150728Z Check if the current accelerator is available at runtime: it was build, all the 2025-12-04T09:07:53.4151340Z required drivers are available and at least one device is visible. 2025-12-04T09:07:53.4151820Z See :ref:`accelerator` for details. 2025-12-04T09:07:53.4152078Z 2025-12-04T09:07:53.4152189Z Returns: 2025-12-04T09:07:53.4152586Z bool: A boolean indicating if there is an available :ref:`accelerator`. 2025-12-04T09:07:53.4152990Z 2025-12-04T09:07:53.4153263Z .. note:: This API delegates to the device-specific version of `is_available`. 2025-12-04T09:07:53.4153889Z On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set, 2025-12-04T09:07:53.4154511Z this function will NOT poison fork. Otherwise, it will. For more details, see 2025-12-04T09:07:53.4155022Z :ref:`multiprocessing-poison-fork-note`. 2025-12-04T09:07:53.4155283Z 2025-12-04T09:07:53.4155376Z Example:: 2025-12-04T09:07:53.4155502Z 2025-12-04T09:07:53.4155782Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:07:53.4156243Z 2025-12-04T09:07:53.4157113Z Original Error: SyntaxError('invalid syntax', ('', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78)) 2025-12-04T09:07:53.4157801Z 2025-12-04T09:07:53.4158056Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:07:53.4158536Z ^ 2025-12-04T09:07:53.4180948Z msg = Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py line=239. 2025-12-04T09:07:53.4181852Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:53.4182426Z Wait for all kernels in all streams on the given device to complete. 2025-12-04T09:07:53.4182745Z 2025-12-04T09:07:53.4182840Z Args: 2025-12-04T09:07:53.4183273Z device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match 2025-12-04T09:07:53.4184082Z the current :ref:`accelerator` device type. If not given, 2025-12-04T09:07:53.4184634Z use :func:`torch.accelerator.current_device_index` by default. 2025-12-04T09:07:53.4184947Z 2025-12-04T09:07:53.4185279Z .. note:: This function is a no-op if the current :ref:`accelerator` is not initialized. 2025-12-04T09:07:53.4185707Z 2025-12-04T09:07:53.4185793Z Example:: 2025-12-04T09:07:53.4185936Z 2025-12-04T09:07:53.4186072Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-12-04T09:07:53.4186591Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:07:53.4187127Z >>> start_event = torch.Event(enable_timing=True) 2025-12-04T09:07:53.4187508Z >>> end_event = torch.Event(enable_timing=True) 2025-12-04T09:07:53.4187868Z >>> start_event.record() 2025-12-04T09:07:53.4188312Z >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator()) 2025-12-04T09:07:53.4188771Z >>> sum = torch.sum(tensor) 2025-12-04T09:07:53.4189076Z >>> end_event.record() 2025-12-04T09:07:53.4189388Z >>> torch.accelerator.synchronize() 2025-12-04T09:07:53.4189782Z >>> elapsed_time_ms = start_event.elapsed_time(end_event) 2025-12-04T09:07:53.4190150Z 2025-12-04T09:07:53.4190831Z Original Error: SyntaxError('invalid syntax', ('', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78)) 2025-12-04T09:07:53.4191505Z 2025-12-04T09:07:53.4191777Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:07:53.4192244Z ^ 2025-12-04T09:07:53.4508099Z msg = Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py line=448. 2025-12-04T09:07:53.4508972Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:53.4509483Z Retrieves the CUDA runtime API module. 2025-12-04T09:07:53.4509702Z 2025-12-04T09:07:53.4509707Z 2025-12-04T09:07:53.4509970Z This function initializes the CUDA runtime environment if it is not already 2025-12-04T09:07:53.4510570Z initialized and returns the CUDA runtime API module (_cudart). The CUDA 2025-12-04T09:07:53.4511140Z runtime API module provides access to various CUDA runtime functions. 2025-12-04T09:07:53.4511478Z 2025-12-04T09:07:53.4511573Z Args: 2025-12-04T09:07:53.4511767Z ``None`` 2025-12-04T09:07:53.4511910Z 2025-12-04T09:07:53.4511991Z Returns: 2025-12-04T09:07:53.4512261Z module: The CUDA runtime API module (_cudart). 2025-12-04T09:07:53.4512511Z 2025-12-04T09:07:53.4512607Z Raises: 2025-12-04T09:07:53.4512953Z RuntimeError: If CUDA cannot be re-initialized in a forked subprocess. 2025-12-04T09:07:53.4513663Z AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable. 2025-12-04T09:07:53.4514145Z 2025-12-04T09:07:53.4514284Z Example of CUDA operations with profiling: 2025-12-04T09:07:53.4514615Z >>> import torch 2025-12-04T09:07:53.4515088Z >>> from torch.cuda import cudart, check_error 2025-12-04T09:07:53.4515430Z >>> import os 2025-12-04T09:07:53.4515656Z >>> 2025-12-04T09:07:53.4515897Z >>> os.environ["CUDA_PROFILE"] = "1" 2025-12-04T09:07:53.4516204Z >>> 2025-12-04T09:07:53.4516463Z >>> def perform_cuda_operations_with_streams(): 2025-12-04T09:07:53.4516814Z >>> stream = torch.cuda.Stream() 2025-12-04T09:07:53.4517154Z >>> with torch.cuda.stream(stream): 2025-12-04T09:07:53.4517509Z >>> x = torch.randn(100, 100, device='cuda') 2025-12-04T09:07:53.4517861Z >>> y = torch.randn(100, 100, device='cuda') 2025-12-04T09:07:53.4518203Z >>> z = torch.mul(x, y) 2025-12-04T09:07:53.4518498Z >>> return z 2025-12-04T09:07:53.4518831Z >>> 2025-12-04T09:07:53.4519062Z >>> torch.cuda.synchronize() 2025-12-04T09:07:53.4519414Z >>> print("====== Start nsys profiling ======") 2025-12-04T09:07:53.4519790Z >>> check_error(cudart().cudaProfilerStart()) 2025-12-04T09:07:53.4520186Z >>> with torch.autograd.profiler.emit_nvtx(): 2025-12-04T09:07:53.4520591Z >>> result = perform_cuda_operations_with_streams() 2025-12-04T09:07:53.4520985Z >>> print("CUDA operations completed.") 2025-12-04T09:07:53.4521376Z >>> check_error(torch.cuda.cudart().cudaProfilerStop()) 2025-12-04T09:07:53.4521781Z >>> print("====== End nsys profiling ======") 2025-12-04T09:07:53.4522015Z 2025-12-04T09:07:53.4522220Z To run this example and save the profiling information, execute: 2025-12-04T09:07:53.4522897Z >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T09:07:53.4523383Z 2025-12-04T09:07:53.4523633Z This command profiles the CUDA operations in the provided script and saves 2025-12-04T09:07:53.4524274Z the profiling information to a file named `trace_name.prof`. 2025-12-04T09:07:53.4524835Z The `--profile-from-start off` option ensures that profiling starts only 2025-12-04T09:07:53.4525321Z after the `cudaProfilerStart` call in the script. 2025-12-04T09:07:53.4525806Z The `--csv` and `--print-summary` options format the profiling output as a 2025-12-04T09:07:53.4526278Z CSV file and print a summary, respectively. 2025-12-04T09:07:53.4526772Z The `-o` option specifies the output file name, and the `-f` option forces the 2025-12-04T09:07:53.4527277Z overwrite of the output file if it already exists. 2025-12-04T09:07:53.4527629Z 2025-12-04T09:07:53.4528402Z 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)) 2025-12-04T09:07:53.4529168Z 2025-12-04T09:07:53.4529512Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T09:07:53.4530061Z ^ 2025-12-04T09:07:55.0379465Z msg = Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=39. 2025-12-04T09:07:55.0380347Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:55.0380783Z 2025-12-04T09:07:55.0381000Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that 2025-12-04T09:07:55.0381539Z maps ``func`` over some dimension of the inputs. Semantically, vmap 2025-12-04T09:07:55.0382061Z pushes the map into PyTorch operations called by ``func``, effectively 2025-12-04T09:07:55.0382513Z vectorizing those operations. 2025-12-04T09:07:55.0382716Z 2025-12-04T09:07:55.0382927Z vmap is useful for handling batch dimensions: one can write a function 2025-12-04T09:07:55.0383457Z ``func`` that runs on examples and then lift it to a function that can 2025-12-04T09:07:55.0383985Z take batches of examples with ``vmap(func)``. vmap can also be used to 2025-12-04T09:07:55.0384481Z compute batched gradients when composed with autograd. 2025-12-04T09:07:55.0384757Z 2025-12-04T09:07:55.0385114Z .. note:: 2025-12-04T09:07:55.0385417Z :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for 2025-12-04T09:07:55.0385850Z convenience. Use whichever one you'd like. 2025-12-04T09:07:55.0386104Z 2025-12-04T09:07:55.0386186Z Args: 2025-12-04T09:07:55.0386519Z func (function): A Python function that takes one or more arguments. 2025-12-04T09:07:55.0386948Z Must return one or more Tensors. 2025-12-04T09:07:55.0387374Z in_dims (int or nested structure): Specifies which dimension of the 2025-12-04T09:07:55.0387865Z inputs should be mapped over. ``in_dims`` should have a 2025-12-04T09:07:55.0388334Z structure like the inputs. If the ``in_dim`` for a particular 2025-12-04T09:07:55.0388828Z input is None, then that indicates there is no map dimension. 2025-12-04T09:07:55.0389334Z Default: 0. 2025-12-04T09:07:55.0389681Z out_dims (int or Tuple[int]): Specifies where the mapped dimension 2025-12-04T09:07:55.0390182Z should appear in the outputs. If ``out_dims`` is a Tuple, then 2025-12-04T09:07:55.0390650Z it should have one element per output. Default: 0. 2025-12-04T09:07:55.0391101Z randomness (str): Specifies whether the randomness in this 2025-12-04T09:07:55.0391621Z vmap should be the same or different across batches. If 'different', 2025-12-04T09:07:55.0392154Z the randomness for each batch will be different. If 'same', the 2025-12-04T09:07:55.0392676Z randomness will be the same across batches. If 'error', any calls to 2025-12-04T09:07:55.0393223Z random functions will error. Default: 'error'. WARNING: this flag 2025-12-04T09:07:55.0393758Z only applies to random PyTorch operations and does not apply to 2025-12-04T09:07:55.0394224Z Python's random module or numpy randomness. 2025-12-04T09:07:55.0394688Z chunk_size (None or int): If None (default), apply a single vmap over inputs. 2025-12-04T09:07:55.0395268Z If not None, then compute the vmap :attr:`chunk_size` samples at a time. 2025-12-04T09:07:55.0395869Z Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop. 2025-12-04T09:07:55.0396508Z If you run into memory issues computing the vmap, please try a non-None chunk_size. 2025-12-04T09:07:55.0396910Z 2025-12-04T09:07:55.0396997Z Returns: 2025-12-04T09:07:55.0397314Z Returns a new "batched" function. It takes the same inputs as 2025-12-04T09:07:55.0397805Z ``func``, except each input has an extra dimension at the index 2025-12-04T09:07:55.0398285Z specified by ``in_dims``. It takes returns the same outputs as 2025-12-04T09:07:55.0398779Z ``func``, except each output has an extra dimension at the index 2025-12-04T09:07:55.0399185Z specified by ``out_dims``. 2025-12-04T09:07:55.0399377Z 2025-12-04T09:07:55.0399461Z .. warning: 2025-12-04T09:07:55.0399787Z :func:`vmap` works best with functional-style code. Please do not 2025-12-04T09:07:55.0400292Z perform any side-effects in ``func``, with the exception of 2025-12-04T09:07:55.0400828Z in-place PyTorch operations. Examples of side-effects include mutating 2025-12-04T09:07:55.0401402Z Python data structures and assigning values to variables not captured 2025-12-04T09:07:55.0401839Z in ``func``. 2025-12-04T09:07:55.0401973Z 2025-12-04T09:07:55.0402215Z One example of using :func:`vmap` is to compute batched dot products. PyTorch 2025-12-04T09:07:55.0402775Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully 2025-12-04T09:07:55.0403324Z rummaging through docs, use :func:`vmap` to construct a new function. 2025-12-04T09:07:55.0403666Z 2025-12-04T09:07:55.0403783Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:07:55.0404301Z >>> batched_dot = torch.func.vmap(torch.dot) # [N, D], [N, D] -> [N] 2025-12-04T09:07:55.0404745Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T09:07:55.0405083Z >>> batched_dot(x, y) 2025-12-04T09:07:55.0405248Z 2025-12-04T09:07:55.0405618Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler 2025-12-04T09:07:55.0406059Z model authoring experience. 2025-12-04T09:07:55.0406254Z 2025-12-04T09:07:55.0406360Z >>> batch_size, feature_size = 3, 5 2025-12-04T09:07:55.0406755Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T09:07:55.0407128Z >>> 2025-12-04T09:07:55.0407333Z >>> def model(feature_vec): 2025-12-04T09:07:55.0407648Z >>> # Very simple linear model with activation 2025-12-04T09:07:55.0408017Z >>> return feature_vec.dot(weights).relu() 2025-12-04T09:07:55.0408325Z >>> 2025-12-04T09:07:55.0408594Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T09:07:55.0408971Z >>> result = torch.vmap(model)(examples) 2025-12-04T09:07:55.0409256Z 2025-12-04T09:07:55.0409503Z :func:`vmap` can also help vectorize computations that were previously difficult 2025-12-04T09:07:55.0410108Z or impossible to batch. One example is higher-order gradient computation. 2025-12-04T09:07:55.0410697Z The PyTorch autograd engine computes vjps (vector-Jacobian products). 2025-12-04T09:07:55.0411277Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually 2025-12-04T09:07:55.0411864Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`, 2025-12-04T09:07:55.0412471Z we can vectorize the whole computation, computing the Jacobian in a single 2025-12-04T09:07:55.0412937Z call to ``autograd.grad``. 2025-12-04T09:07:55.0413109Z 2025-12-04T09:07:55.0413193Z >>> # Setup 2025-12-04T09:07:55.0413419Z >>> N = 5 2025-12-04T09:07:55.0413642Z >>> f = lambda x: x**2 2025-12-04T09:07:55.0413933Z >>> x = torch.randn(N, requires_grad=True) 2025-12-04T09:07:55.0414238Z >>> y = f(x) 2025-12-04T09:07:55.0414475Z >>> I_N = torch.eye(N) 2025-12-04T09:07:55.0414729Z >>> 2025-12-04T09:07:55.0414933Z >>> # Sequential approach 2025-12-04T09:07:55.0415338Z >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0] 2025-12-04T09:07:55.0415792Z >>> for v in I_N.unbind()] 2025-12-04T09:07:55.0416121Z >>> jacobian = torch.stack(jacobian_rows) 2025-12-04T09:07:55.0416432Z >>> 2025-12-04T09:07:55.0416664Z >>> # vectorized gradient computation 2025-12-04T09:07:55.0416971Z >>> def get_vjp(v): 2025-12-04T09:07:55.0417252Z >>> return torch.autograd.grad(y, x, v) 2025-12-04T09:07:55.0417602Z >>> jacobian = torch.vmap(get_vjp)(I_N) 2025-12-04T09:07:55.0417823Z 2025-12-04T09:07:55.0418098Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions 2025-12-04T09:07:55.0418482Z 2025-12-04T09:07:55.0418580Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:07:55.0418888Z >>> batched_dot = torch.vmap( 2025-12-04T09:07:55.0419196Z ... torch.vmap(torch.dot) 2025-12-04T09:07:55.0419492Z ... ) # [N1, N0, D], [N1, N0, D] -> [N1, N0] 2025-12-04T09:07:55.0419853Z >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5) 2025-12-04T09:07:55.0420231Z >>> batched_dot(x, y) # tensor of size [2, 3] 2025-12-04T09:07:55.0420461Z 2025-12-04T09:07:55.0420708Z If the inputs are not batched along the first dimension, ``in_dims`` specifies 2025-12-04T09:07:55.0421205Z the dimension that each inputs are batched along as 2025-12-04T09:07:55.0421477Z 2025-12-04T09:07:55.0421577Z >>> torch.dot # [N], [N] -> [] 2025-12-04T09:07:55.0421994Z >>> batched_dot = torch.vmap(torch.dot, in_dims=1) # [N, D], [N, D] -> [D] 2025-12-04T09:07:55.0422446Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T09:07:55.0422776Z >>> batched_dot( 2025-12-04T09:07:55.0423011Z ... x, y 2025-12-04T09:07:55.0423326Z ... ) # output is [5] instead of [2] if batched along the 0th dimension 2025-12-04T09:07:55.0423657Z 2025-12-04T09:07:55.0423914Z If there are multiple inputs each of which is batched along different dimensions, 2025-12-04T09:07:55.0424493Z ``in_dims`` must be a tuple with the batch dimension for each input as 2025-12-04T09:07:55.0424807Z 2025-12-04T09:07:55.0425003Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:07:55.0425430Z >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None)) # [N, D], [D] -> [N] 2025-12-04T09:07:55.0425913Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T09:07:55.0426239Z >>> batched_dot( 2025-12-04T09:07:55.0426464Z ... x, y 2025-12-04T09:07:55.0426795Z ... ) # second arg doesn't have a batch dim because in_dim[1] was None 2025-12-04T09:07:55.0427118Z 2025-12-04T09:07:55.0427347Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct 2025-12-04T09:07:55.0427814Z matching the shape of the input: 2025-12-04T09:07:55.0428010Z 2025-12-04T09:07:55.0428146Z >>> f = lambda dict: torch.dot(dict["x"], dict["y"]) 2025-12-04T09:07:55.0428582Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T09:07:55.0428913Z >>> input = {"x": x, "y": y} 2025-12-04T09:07:55.0429266Z >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},)) 2025-12-04T09:07:55.0429668Z >>> batched_dot(input) 2025-12-04T09:07:55.0429852Z 2025-12-04T09:07:55.0430122Z By default, the output is batched along the first dimension. However, it can be batched 2025-12-04T09:07:55.0430643Z along any dimension by using ``out_dims`` 2025-12-04T09:07:55.0430870Z 2025-12-04T09:07:55.0430964Z >>> f = lambda x: x**2 2025-12-04T09:07:55.0431237Z >>> x = torch.randn(2, 5) 2025-12-04T09:07:55.0431549Z >>> batched_pow = torch.vmap(f, out_dims=1) 2025-12-04T09:07:55.0431875Z >>> batched_pow(x) # [5, 2] 2025-12-04T09:07:55.0432077Z 2025-12-04T09:07:55.0432363Z For any function that uses kwargs, the returned function will not batch the kwargs but will 2025-12-04T09:07:55.0432876Z accept kwargs 2025-12-04T09:07:55.0433008Z 2025-12-04T09:07:55.0433127Z >>> x = torch.randn([2, 5]) 2025-12-04T09:07:55.0433400Z >>> def fn(x, scale=4.): 2025-12-04T09:07:55.0433681Z >>> return x * scale 2025-12-04T09:07:55.0433941Z >>> 2025-12-04T09:07:55.0434162Z >>> batched_pow = torch.vmap(fn) 2025-12-04T09:07:55.0434525Z >>> assert torch.allclose(batched_pow(x), x * 4) 2025-12-04T09:07:55.0435003Z >>> batched_pow(x, scale=x) # scale is not batched, output has shape [2, 2, 5] 2025-12-04T09:07:55.0435345Z 2025-12-04T09:07:55.0435445Z .. note:: 2025-12-04T09:07:55.0435785Z vmap does not provide general autobatching or handle variable-length 2025-12-04T09:07:55.0436229Z sequences out of the box. 2025-12-04T09:07:55.0436412Z 2025-12-04T09:07:55.0436947Z Original Error: IndentationError('expected an indented block after function definition on line 4', ('', 5, 1, '_._ = None\n', 5, 2)) 2025-12-04T09:07:55.0437584Z 2025-12-04T09:07:55.0437666Z _._ = None 2025-12-04T09:07:55.0437877Z ^ 2025-12-04T09:07:55.0438508Z msg = Cannot scrape callname=grad in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=306. 2025-12-04T09:07:55.0439344Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:55.0439936Z ``grad`` operator helps computing gradients of ``func`` with respect to the 2025-12-04T09:07:55.0440491Z input(s) specified by ``argnums``. This operator can be nested to 2025-12-04T09:07:55.0440921Z compute higher-order gradients. 2025-12-04T09:07:55.0441127Z 2025-12-04T09:07:55.0441222Z Args: 2025-12-04T09:07:55.0441537Z func (Callable): A Python function that takes one or more arguments. 2025-12-04T09:07:55.0442131Z Must return a single-element Tensor. If specified ``has_aux`` equals ``True``, 2025-12-04T09:07:55.0442785Z function can return a tuple of single-element Tensor and other auxiliary objects: 2025-12-04T09:07:55.0443261Z ``(output, aux)``. 2025-12-04T09:07:55.0443724Z argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to. 2025-12-04T09:07:55.0444437Z ``argnums`` can be single integer or tuple of integers. Default: 0. 2025-12-04T09:07:55.0445063Z has_aux (bool): Flag indicating that ``func`` returns a tensor and other 2025-12-04T09:07:55.0445551Z auxiliary objects: ``(output, aux)``. Default: False. 2025-12-04T09:07:55.0445840Z 2025-12-04T09:07:55.0445926Z Returns: 2025-12-04T09:07:55.0446341Z Function to compute gradients with respect to its inputs. By default, the output of 2025-12-04T09:07:55.0446981Z the function is the gradient tensor(s) with respect to the first argument. 2025-12-04T09:07:55.0447597Z If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects 2025-12-04T09:07:55.0448237Z is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with 2025-12-04T09:07:55.0448750Z respect to each ``argnums`` value is returned. 2025-12-04T09:07:55.0449240Z 2025-12-04T09:07:55.0449343Z Example of using ``grad``: 2025-12-04T09:07:55.0449539Z 2025-12-04T09:07:55.0449636Z >>> # xdoctest: +SKIP 2025-12-04T09:07:55.0449931Z >>> from torch.func import grad 2025-12-04T09:07:55.0450248Z >>> x = torch.randn([]) 2025-12-04T09:07:55.0450547Z >>> cos_x = grad(lambda x: torch.sin(x))(x) 2025-12-04T09:07:55.0450917Z >>> assert torch.allclose(cos_x, x.cos()) 2025-12-04T09:07:55.0451249Z >>> 2025-12-04T09:07:55.0451465Z >>> # Second-order gradients 2025-12-04T09:07:55.0451818Z >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x) 2025-12-04T09:07:55.0452222Z >>> assert torch.allclose(neg_sin_x, -x.sin()) 2025-12-04T09:07:55.0452465Z 2025-12-04T09:07:55.0452709Z When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients: 2025-12-04T09:07:55.0453087Z 2025-12-04T09:07:55.0453185Z >>> # xdoctest: +SKIP 2025-12-04T09:07:55.0453491Z >>> from torch.func import grad, vmap 2025-12-04T09:07:55.0453833Z >>> batch_size, feature_size = 3, 5 2025-12-04T09:07:55.0454124Z >>> 2025-12-04T09:07:55.0454357Z >>> def model(weights, feature_vec): 2025-12-04T09:07:55.0454719Z >>> # Very simple linear model with activation 2025-12-04T09:07:55.0455059Z >>> assert feature_vec.dim() == 1 2025-12-04T09:07:55.0455407Z >>> return feature_vec.dot(weights).relu() 2025-12-04T09:07:55.0455729Z >>> 2025-12-04T09:07:55.0455973Z >>> def compute_loss(weights, example, target): 2025-12-04T09:07:55.0456329Z >>> y = model(weights, example) 2025-12-04T09:07:55.0456678Z >>> return ((y - target) ** 2).mean() # MSELoss 2025-12-04T09:07:55.0457012Z >>> 2025-12-04T09:07:55.0457296Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T09:07:55.0457741Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T09:07:55.0458126Z >>> targets = torch.randn(batch_size) 2025-12-04T09:07:55.0458461Z >>> inputs = (weights, examples, targets) 2025-12-04T09:07:55.0458928Z >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))( 2025-12-04T09:07:55.0459378Z ... *inputs 2025-12-04T09:07:55.0459605Z ... ) 2025-12-04T09:07:55.0459737Z 2025-12-04T09:07:55.0459911Z Example of using ``grad`` with ``has_aux`` and ``argnums``: 2025-12-04T09:07:55.0460208Z 2025-12-04T09:07:55.0460305Z >>> # xdoctest: +SKIP 2025-12-04T09:07:55.0460596Z >>> from torch.func import grad 2025-12-04T09:07:55.0460906Z >>> def my_loss_func(y, y_pred): 2025-12-04T09:07:55.0461251Z >>> loss_per_sample = (0.5 * y_pred - y) ** 2 2025-12-04T09:07:55.0461604Z >>> loss = loss_per_sample.mean() 2025-12-04T09:07:55.0461939Z >>> return loss, (y_pred, loss_per_sample) 2025-12-04T09:07:55.0462262Z >>> 2025-12-04T09:07:55.0462531Z >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True) 2025-12-04T09:07:55.0462891Z >>> y_true = torch.rand(4) 2025-12-04T09:07:55.0463223Z >>> y_preds = torch.rand(4, requires_grad=True) 2025-12-04T09:07:55.0463803Z >>> out = fn(y_true, y_preds) 2025-12-04T09:07:55.0464259Z >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample)) 2025-12-04T09:07:55.0464621Z 2025-12-04T09:07:55.0464716Z .. note:: 2025-12-04T09:07:55.0465013Z Using PyTorch ``torch.no_grad`` together with ``grad``. 2025-12-04T09:07:55.0465293Z 2025-12-04T09:07:55.0465449Z Case 1: Using ``torch.no_grad`` inside a function: 2025-12-04T09:07:55.0465702Z 2025-12-04T09:07:55.0465800Z >>> # xdoctest: +SKIP 2025-12-04T09:07:55.0466084Z >>> def f(x): 2025-12-04T09:07:55.0466353Z >>> with torch.no_grad(): 2025-12-04T09:07:55.0466664Z >>> c = x ** 2 2025-12-04T09:07:55.0466941Z >>> return x - c 2025-12-04T09:07:55.0467252Z 2025-12-04T09:07:55.0467450Z In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``. 2025-12-04T09:07:55.0467767Z 2025-12-04T09:07:55.0467967Z Case 2: Using ``grad`` inside ``torch.no_grad`` context manager: 2025-12-04T09:07:55.0468267Z 2025-12-04T09:07:55.0468367Z >>> # xdoctest: +SKIP 2025-12-04T09:07:55.0468669Z >>> with torch.no_grad(): 2025-12-04T09:07:55.0468974Z >>> grad(f)(x) 2025-12-04T09:07:55.0469148Z 2025-12-04T09:07:55.0469380Z In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the 2025-12-04T09:07:55.0469937Z outer one. This is because ``grad`` is a "function transform": its result 2025-12-04T09:07:55.0470502Z should not depend on the result of a context manager outside of ``f``. 2025-12-04T09:07:55.0470838Z 2025-12-04T09:07:55.0470935Z 2025-12-04T09:07:55.0471566Z Original Error: IndentationError('expected an indented block after function definition on line 5', ('', 6, 1, '_._ = None\n', 6, 2)) 2025-12-04T09:07:55.0472219Z 2025-12-04T09:07:55.0472302Z _._ = None 2025-12-04T09:07:55.0472511Z ^ 2025-12-04T09:07:58.4692404Z 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. 2025-12-04T09:07:58.4693425Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:58.4693981Z Register a FakeTensor implementation for this custom op. 2025-12-04T09:07:58.4694268Z 2025-12-04T09:07:58.4694528Z This is necessary to get the operator to work efficiently with torch.compile. 2025-12-04T09:07:58.4694900Z 2025-12-04T09:07:58.4695135Z The Fake impl (sometimes also known as a meta kernel or abstract impl) 2025-12-04T09:07:58.4695699Z specifies the behavior of this operator on Tensors that carry no data. 2025-12-04T09:07:58.4696207Z Given some input Tensors with certain properties 2025-12-04T09:07:58.4696743Z (sizes/strides/storage_offset/device), it specifies what the properties of 2025-12-04T09:07:58.4697214Z the output Tensors are. 2025-12-04T09:07:58.4697414Z 2025-12-04T09:07:58.4697618Z Please see :func:`torch.library.register_fake` for more details. 2025-12-04T09:07:58.4697946Z 2025-12-04T09:07:58.4698030Z Args: 2025-12-04T09:07:58.4698329Z fn (Callable): The function to register as the FakeTensor 2025-12-04T09:07:58.4698704Z implementation. 2025-12-04T09:07:58.4698897Z 2025-12-04T09:07:58.4698980Z Examples: 2025-12-04T09:07:58.4699212Z >>> import torch 2025-12-04T09:07:58.4699478Z >>> import numpy as np 2025-12-04T09:07:58.4699787Z >>> from torch import Tensor 2025-12-04T09:07:58.4700087Z >>> 2025-12-04T09:07:58.4700412Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T09:07:58.4700929Z >>> @torch.library.custom_op("mylib::linear", mutates_args=()) 2025-12-04T09:07:58.4701444Z >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T09:07:58.4701876Z >>> return (x @ weight.t()) + bias 2025-12-04T09:07:58.4702432Z >>> 2025-12-04T09:07:58.4702680Z >>> @linear.register_fake 2025-12-04T09:07:58.4702994Z >>> def _(x, weight, bias): 2025-12-04T09:07:58.4703291Z >>> assert x.dim() == 2 2025-12-04T09:07:58.4703615Z >>> assert weight.dim() == 2 2025-12-04T09:07:58.4703944Z >>> assert bias.dim() == 1 2025-12-04T09:07:58.4704282Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T09:07:58.4704643Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T09:07:58.4705008Z >>> assert x.device == weight.device 2025-12-04T09:07:58.4705386Z >>> return x.new_empty(x.size(0), weight.size(0)) 2025-12-04T09:07:58.4705720Z >>> 2025-12-04T09:07:58.4706058Z >>> x = torch.randn(2, 2) 2025-12-04T09:07:58.4706371Z >>> weight = torch.randn(2, 2) 2025-12-04T09:07:58.4706678Z >>> bias = torch.randn(2) 2025-12-04T09:07:58.4707021Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:07:58.4707457Z >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias) 2025-12-04T09:07:58.4707898Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:07:58.4708380Z >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias)) 2025-12-04T09:07:58.4708829Z >>> 2025-12-04T09:07:58.4709137Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T09:07:58.4709618Z >>> @torch.library.custom_op("mylib::nonzero", mutates_args=()) 2025-12-04T09:07:58.4710052Z >>> def nonzero(x: Tensor) -> Tensor: 2025-12-04T09:07:58.4710391Z >>> x_np = x.cpu().numpy() 2025-12-04T09:07:58.4710734Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T09:07:58.4711119Z >>> return torch.tensor(res, device=x.device) 2025-12-04T09:07:58.4711454Z >>> 2025-12-04T09:07:58.4711699Z >>> @nonzero.register_fake 2025-12-04T09:07:58.4711994Z >>> def _(x): 2025-12-04T09:07:58.4712311Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T09:07:58.4712737Z >>> # Since we cannot peek at the data in an abstract impl, 2025-12-04T09:07:58.4713166Z >>> # we use the ctx object to construct a new symint that 2025-12-04T09:07:58.4713568Z >>> # represents the data-dependent size. 2025-12-04T09:07:58.4713930Z >>> ctx = torch.library.get_ctx() 2025-12-04T09:07:58.4714262Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T09:07:58.4714595Z >>> shape = [nnz, x.dim()] 2025-12-04T09:07:58.4714957Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T09:07:58.4715325Z >>> return result 2025-12-04T09:07:58.4715588Z >>> 2025-12-04T09:07:58.4715839Z >>> x = torch.tensor([0, 1, 2, 0, 0, 1]) 2025-12-04T09:07:58.4716207Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:07:58.4716594Z >>> out = torch.compile(nonzero, fullgraph=True)(x) 2025-12-04T09:07:58.4716993Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:07:58.4717372Z >>> assert torch.allclose(out, x.nonzero()) 2025-12-04T09:07:58.4717609Z 2025-12-04T09:07:58.4717692Z 2025-12-04T09:07:58.4718344Z Original Error: IndentationError('expected an indented block after function definition on line 36', ('', 37, 1, '_._ = None\n', 37, 2)) 2025-12-04T09:07:58.4719002Z 2025-12-04T09:07:58.4719083Z _._ = None 2025-12-04T09:07:58.4719291Z ^ 2025-12-04T09:07:58.4914839Z 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. 2025-12-04T09:07:58.4915856Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-12-04T09:07:58.4916248Z 2025-12-04T09:07:58.4916668Z Registers a fake kernel based on the given operator profiles. This fake 2025-12-04T09:07:58.4917269Z kernel registration will override any existing fake kernel registrations. 2025-12-04T09:07:58.4917631Z 2025-12-04T09:07:58.4917841Z The input is a dictionary mapping operator names to a set of operator 2025-12-04T09:07:58.4918406Z profiles, which we will use to generate fake kernels. The operator profiles 2025-12-04T09:07:58.4918959Z are a record of the input and output tensor metadata. Based on this 2025-12-04T09:07:58.4919518Z information we will match a given input to the recorded profile, and return 2025-12-04T09:07:58.4920090Z an output with the same metadata as in the recorded profile. If a profile 2025-12-04T09:07:58.4920571Z doesn't exist then an exception will be thrown. 2025-12-04T09:07:58.4920911Z 2025-12-04T09:07:58.4921151Z The fake kernel generation is considered unsafe because it relies on the 2025-12-04T09:07:58.4921718Z rigid, pre-defined operator profiles that do not account for potential 2025-12-04T09:07:58.4922326Z variations in output behavior. Specifically, the generated kernels assume a 2025-12-04T09:07:58.4922957Z fixed relationship between input and output ranks. However, in reality, it's 2025-12-04T09:07:58.4923572Z possible that data-dependent operations may produce outputs of different 2025-12-04T09:07:58.4924213Z ranks even when given inputs of the same rank. The generated fake kernels 2025-12-04T09:07:58.4924795Z are inflexible and unable to accommodate these nuances, making them 2025-12-04T09:07:58.4925222Z potentially unsafe. 2025-12-04T09:07:58.4925367Z 2025-12-04T09:07:58.4925459Z Args: 2025-12-04T09:07:58.4925779Z op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator 2025-12-04T09:07:58.4926313Z name to a set of operator profiles from which we will generate fake 2025-12-04T09:07:58.4926722Z kernels. 2025-12-04T09:07:58.4926854Z 2025-12-04T09:07:58.4926936Z Examples: 2025-12-04T09:07:58.4927063Z 2025-12-04T09:07:58.4927233Z >>> # Example: Registering an op-profile from draft-export 2025-12-04T09:07:58.4927604Z >>> import torch 2025-12-04T09:07:58.4927917Z >>> from torch.export._draft_export import draft_export 2025-12-04T09:07:58.4928265Z >>> 2025-12-04T09:07:58.4928571Z >>> @torch.library.custom_op("mylib::foo", mutates_args=()) 2025-12-04T09:07:58.4928989Z >>> def foo(x: Tensor, y: Tensor) -> Tensor: 2025-12-04T09:07:58.4929306Z >>> return x + y 2025-12-04T09:07:58.4929555Z >>> 2025-12-04T09:07:58.4929784Z >>> class M(torch.nn.Module): 2025-12-04T09:07:58.4930074Z >>> def forward(self, a, b): 2025-12-04T09:07:58.4930425Z >>> res = torch.ops.mylib.foo(a, b) # no fake impl 2025-12-04T09:07:58.4930776Z >>> return res 2025-12-04T09:07:58.4931016Z >>> 2025-12-04T09:07:58.4931301Z >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4)) 2025-12-04T09:07:58.4931668Z >>> 2025-12-04T09:07:58.4932066Z >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles): 2025-12-04T09:07:58.4932606Z >>> decomp = ep.run_decompositions() 2025-12-04T09:07:58.4932840Z 2025-12-04T09:07:58.4932844Z 2025-12-04T09:07:58.4933320Z Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced') 2025-12-04T09:07:58.4933913Z 2025-12-04T09:07:59.1078006Z 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. 2025-12-04T09:07:59.1079232Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:59.1079613Z 2025-12-04T09:07:59.1079875Z The Activation sparsifier class aims to sparsify/prune activations in a neural 2025-12-04T09:07:59.1080519Z network. The idea is to attach the sparsifier to a layer (or layers) and it 2025-12-04T09:07:59.1081104Z zeroes out the activations based on the mask_fn (or sparsification function) 2025-12-04T09:07:59.1081795Z input by the user. 2025-12-04T09:07:59.1082175Z The mask_fn is applied once all the inputs are aggregated and reduced i.e. 2025-12-04T09:07:59.1082676Z mask = mask_fn(reduce_fn(aggregate_fn(activations))) 2025-12-04T09:07:59.1082943Z 2025-12-04T09:07:59.1084812Z Note:: 2025-12-04T09:07:59.1085278Z The sparsification mask is computed on the input **before it goes through the attached layer**. 2025-12-04T09:07:59.1085720Z 2025-12-04T09:07:59.1085821Z Args: 2025-12-04T09:07:59.1086021Z model (nn.Module): 2025-12-04T09:07:59.1086408Z The model whose layers will be sparsified. The layers that needs to be 2025-12-04T09:07:59.1086990Z sparsified should be added separately using the register_layer() function 2025-12-04T09:07:59.1087620Z aggregate_fn (Optional, Callable): 2025-12-04T09:07:59.1088084Z default aggregate_fn that is used if not specified while registering the layer. 2025-12-04T09:07:59.1088635Z specifies how inputs should be aggregated over time. 2025-12-04T09:07:59.1089203Z The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor. 2025-12-04T09:07:59.1089706Z Example 2025-12-04T09:07:59.1090019Z def add_agg_fn(tensor1, tensor2): return tensor1 + tensor2 2025-12-04T09:07:59.1090424Z reduce_fn (Optional, Callable): 2025-12-04T09:07:59.1090878Z default reduce_fn that is used if not specified while registering the layer. 2025-12-04T09:07:59.1091491Z reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after 2025-12-04T09:07:59.1091981Z calling agg_fn() on all inputs. 2025-12-04T09:07:59.1092297Z Example 2025-12-04T09:07:59.1092634Z def mean_reduce_fn(agg_tensor): return agg_tensor.mean(dim=0) 2025-12-04T09:07:59.1093065Z mask_fn (Optional, Callable): 2025-12-04T09:07:59.1093597Z default mask_fn that is used to create the sparsification mask using the tensor obtained after 2025-12-04T09:07:59.1094264Z calling the reduce_fn(). This is used by default if a custom one is passed in the 2025-12-04T09:07:59.1094731Z register_layer(). 2025-12-04T09:07:59.1095272Z Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config 2025-12-04T09:07:59.1095832Z arguments. 2025-12-04T09:07:59.1096096Z features (Optional, list): 2025-12-04T09:07:59.1096436Z default selected features to sparsify. 2025-12-04T09:07:59.1096943Z If this is non-empty, then the mask_fn will be applied for each feature of the input. 2025-12-04T09:07:59.1097417Z For example, 2025-12-04T09:07:59.1097851Z mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features] 2025-12-04T09:07:59.1098342Z feature_dim (Optional, int): 2025-12-04T09:07:59.1098853Z default dimension of input features. Again, features along this dim will be chosen 2025-12-04T09:07:59.1099346Z for sparsification. 2025-12-04T09:07:59.1099655Z sparse_config (Dict): 2025-12-04T09:07:59.1100069Z Default configuration for the mask_fn. This config will be passed 2025-12-04T09:07:59.1100491Z with the mask_fn() 2025-12-04T09:07:59.1100694Z 2025-12-04T09:07:59.1100779Z Example: 2025-12-04T09:07:59.1100992Z >>> # xdoctest: +SKIP 2025-12-04T09:07:59.1101245Z >>> model = SomeModel() 2025-12-04T09:07:59.1101665Z >>> act_sparsifier = ActivationSparsifier(...) # init activation sparsifier 2025-12-04T09:07:59.1102131Z >>> # Initialize aggregate_fn 2025-12-04T09:07:59.1102423Z >>> def agg_fn(x, y): 2025-12-04T09:07:59.1102675Z >>> return x + y 2025-12-04T09:07:59.1102923Z >>> 2025-12-04T09:07:59.1103163Z >>> # Initialize reduce_fn 2025-12-04T09:07:59.1103431Z >>> def reduce_fn(x): 2025-12-04T09:07:59.1103799Z >>> return torch.mean(x, dim=0) 2025-12-04T09:07:59.1104108Z >>> 2025-12-04T09:07:59.1104308Z >>> # Initialize mask_fn 2025-12-04T09:07:59.1104614Z >>> def mask_fn(data): 2025-12-04T09:07:59.1104915Z >>> return torch.eye(data.shape).to(data.device) 2025-12-04T09:07:59.1105260Z >>> 2025-12-04T09:07:59.1105458Z >>> 2025-12-04T09:07:59.1105675Z >>> act_sparsifier.register_layer( 2025-12-04T09:07:59.1105994Z ... model.some_layer, 2025-12-04T09:07:59.1106282Z ... aggregate_fn=agg_fn, 2025-12-04T09:07:59.1106561Z ... reduce_fn=reduce_fn, 2025-12-04T09:07:59.1106851Z ... mask_fn=mask_fn, 2025-12-04T09:07:59.1107118Z ... ) 2025-12-04T09:07:59.1107313Z >>> 2025-12-04T09:07:59.1107533Z >>> # start training process 2025-12-04T09:07:59.1107893Z >>> for _ in [...]: 2025-12-04T09:07:59.1108145Z >>> # epoch starts 2025-12-04T09:07:59.1108463Z >>> # model.forward(), compute_loss() and model.backwards() 2025-12-04T09:07:59.1108837Z >>> # epoch ends 2025-12-04T09:07:59.1109096Z >>> act_sparsifier.step() 2025-12-04T09:07:59.1109384Z >>> # end training process 2025-12-04T09:07:59.1109677Z >>> sparsifier.squash_mask() 2025-12-04T09:07:59.1109867Z 2025-12-04T09:07:59.1110382Z Original Error: IndentationError("expected an indented block after 'for' statement on line 25", ('', 26, 1, '_._ = None\n', 26, 2)) 2025-12-04T09:07:59.1110999Z 2025-12-04T09:07:59.1111082Z _._ = None 2025-12-04T09:07:59.1111292Z ^ 2025-12-04T09:07:59.8656485Z 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. 2025-12-04T09:07:59.8657488Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:07:59.8657885Z 2025-12-04T09:07:59.8658166Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh. 2025-12-04T09:07:59.8658829Z The submesh created consists of the dimensions and the communicators indicated by 2025-12-04T09:07:59.8659310Z ``mesh_dim_names`` 2025-12-04T09:07:59.8659450Z 2025-12-04T09:07:59.8659542Z Args: 2025-12-04T09:07:59.8659884Z mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the 2025-12-04T09:07:59.8660429Z mesh dimension of the DeviceMesh to create the submesh for. 2025-12-04T09:07:59.8660821Z Returns: 2025-12-04T09:07:59.8661046Z A :class:`DeviceMesh` object 2025-12-04T09:07:59.8661237Z 2025-12-04T09:07:59.8661519Z The following program runs on each process/rank in an SPMD manner in a world size of 8. 2025-12-04T09:07:59.8662026Z In the first example: 2025-12-04T09:07:59.8662440Z Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]). 2025-12-04T09:07:59.8663051Z Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of DeviceMesh:([4, 5, 6, 7]). 2025-12-04T09:07:59.8663645Z Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of DeviceMesh:([0, 4]). 2025-12-04T09:07:59.8664216Z Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of DeviceMesh:([1, 5]). 2025-12-04T09:07:59.8664780Z Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of DeviceMesh:([2, 6]). 2025-12-04T09:07:59.8665331Z Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of DeviceMesh:([3, 7]). 2025-12-04T09:07:59.8665682Z 2025-12-04T09:07:59.8665796Z In the second example: 2025-12-04T09:07:59.8666222Z Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]). 2025-12-04T09:07:59.8666872Z Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]). 2025-12-04T09:07:59.8667507Z Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]). 2025-12-04T09:07:59.8668159Z Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]). 2025-12-04T09:07:59.8668552Z 2025-12-04T09:07:59.8668752Z Example:: 2025-12-04T09:07:59.8669098Z 2025-12-04T09:07:59.8669221Z >>> # xdoctest: +SKIP("no rank") 2025-12-04T09:07:59.8669591Z >>> from torch.distributed.device_mesh import DeviceMesh 2025-12-04T09:07:59.8669968Z >>> 2025-12-04T09:07:59.8670288Z >>> # Initialize a 2D device mesh as (2, 4) to represent the topology 2025-12-04T09:07:59.8670740Z >>> # of cross-host(dim 0), and within-host (dim 1). 2025-12-04T09:07:59.8671250Z >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T09:07:59.8671725Z >>> tp_mesh = mesh_2d["tp"] 2025-12-04T09:07:59.8672012Z >>> dp_mesh = mesh_2d["dp"] 2025-12-04T09:07:59.8672265Z >>> 2025-12-04T09:07:59.8672479Z >>> # Initialize a 3D mesh. 2025-12-04T09:07:59.8672939Z >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp")) 2025-12-04T09:07:59.8673732Z >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh. 2025-12-04T09:07:59.8674275Z >>> dp_cp_mesh = mesh_3d["dp", "cp"] 2025-12-04T09:07:59.8674605Z >>> cp_dp_mesh = mesh_3d["cp", "dp"] 2025-12-04T09:07:59.8674815Z 2025-12-04T09:07:59.8675491Z 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)) 2025-12-04T09:07:59.8676293Z 2025-12-04T09:07:59.8676536Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T09:07:59.8677026Z ^ 2025-12-04T09:08:00.4364999Z 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. 2025-12-04T09:08:00.4366025Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:00.4366388Z 2025-12-04T09:08:00.4366704Z Abstract class defining the protocol used by save_state_dict to plan the save process. 2025-12-04T09:08:00.4367110Z 2025-12-04T09:08:00.4367402Z SavePlanners are stateful objects that can be used to customize the whole save process. 2025-12-04T09:08:00.4367831Z 2025-12-04T09:08:00.4368105Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T09:08:00.4368618Z will be visible to the whole process. 2025-12-04T09:08:00.4368831Z 2025-12-04T09:08:00.4369117Z A planner subclass can expect the following sequence of calls during save_state_dict: 2025-12-04T09:08:00.4369511Z 2025-12-04T09:08:00.4369631Z 1) set_up_planner - called on all ranks. 2025-12-04T09:08:00.4369984Z Signals the start of a checkpoint save. 2025-12-04T09:08:00.4370228Z 2025-12-04T09:08:00.4370356Z 2) create_local_plan - called on all ranks. 2025-12-04T09:08:00.4370886Z Process the state_dict and produces a `SavePlan` that will be sent for global planning. 2025-12-04T09:08:00.4371301Z 2025-12-04T09:08:00.4371492Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T09:08:00.4371998Z Takes the SavePlan from all ranks and make any global decision. 2025-12-04T09:08:00.4372318Z 2025-12-04T09:08:00.4372445Z 4) finish_plan - called on all ranks. 2025-12-04T09:08:00.4372864Z This gives each rank a chance to adjust to global planning decisions. 2025-12-04T09:08:00.4373210Z 2025-12-04T09:08:00.4373361Z 5) resolve_data - called multiple times on each rank 2025-12-04T09:08:00.4373833Z Lookups a value on the `state_dict` for the storage layer to write. 2025-12-04T09:08:00.4374149Z 2025-12-04T09:08:00.4374461Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as 2025-12-04T09:08:00.4375056Z most changes can be expressed by changes in a single method. 2025-12-04T09:08:00.4375370Z 2025-12-04T09:08:00.4375488Z There are 3 usual patterns of extension: 2025-12-04T09:08:00.4375722Z 2025-12-04T09:08:00.4375970Z Rewriting state_dict. This is the simplest way to extend the save process as it 2025-12-04T09:08:00.4376836Z doesn't requite understanding the intrincacies of how SavePlan works: 2025-12-04T09:08:00.4377184Z 2025-12-04T09:08:00.4377293Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:08:00.4377653Z >>> class RenamePlanner(DefaultSavePlanner): 2025-12-04T09:08:00.4378002Z >>> def set_up_planner( 2025-12-04T09:08:00.4378256Z >>> self, 2025-12-04T09:08:00.4378510Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T09:08:00.4378858Z >>> storage_meta: Optional[StorageMeta], 2025-12-04T09:08:00.4379203Z >>> is_coordinator: bool, 2025-12-04T09:08:00.4379485Z >>> ) -> None: 2025-12-04T09:08:00.4379766Z >>> # prefix all keys with `foo_`` 2025-12-04T09:08:00.4380267Z >>> super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator) 2025-12-04T09:08:00.4380811Z 2025-12-04T09:08:00.4381156Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted 2025-12-04T09:08:00.4381610Z 2025-12-04T09:08:00.4381724Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:08:00.4382079Z >>> class FP16Planner(DefaultSavePlanner): 2025-12-04T09:08:00.4382426Z >>> def create_local_plan(self): 2025-12-04T09:08:00.4382738Z >>> plan = super().create_local_plan() 2025-12-04T09:08:00.4383070Z >>> for p in plan: 2025-12-04T09:08:00.4383363Z >>> if p.tensor_data is not None: 2025-12-04T09:08:00.4383738Z >>> p.tensor_data.properties.dtype = torch.float16 2025-12-04T09:08:00.4384110Z >>> return plan 2025-12-04T09:08:00.4384349Z >>> 2025-12-04T09:08:00.4384559Z >>> def resolve_data(self, write_item): 2025-12-04T09:08:00.4384933Z >>> item = super().resolve_data(write_item) 2025-12-04T09:08:00.4396660Z >>> return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16) 2025-12-04T09:08:00.4397100Z 2025-12-04T09:08:00.4397459Z Using the global planning step to make central decisions that can't be made individually by each rank 2025-12-04T09:08:00.4397941Z 2025-12-04T09:08:00.4398054Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:08:00.4398392Z >>> from itertools import zip_longest 2025-12-04T09:08:00.4398711Z >>> from dataclasses import replace 2025-12-04T09:08:00.4399076Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner): 2025-12-04T09:08:00.4399630Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0 2025-12-04T09:08:00.4400136Z >>> # This sample doesn't handle ShardedTensors 2025-12-04T09:08:00.4400480Z >>> def create_global_plan(self, all_plans): 2025-12-04T09:08:00.4400842Z >>> iters = [iter(all_plans[0].items)] * len(all_plans) 2025-12-04T09:08:00.4401201Z >>> items_per_rank = [ 2025-12-04T09:08:00.4401534Z >>> [item for item in items if item is not None] 2025-12-04T09:08:00.4401927Z >>> for items in zip(*zip_longest(*iters), strict=True) 2025-12-04T09:08:00.4402286Z >>> ] 2025-12-04T09:08:00.4402512Z >>> all_plans = [ 2025-12-04T09:08:00.4402778Z >>> replace(plan, items=items) 2025-12-04T09:08:00.4403186Z >>> for plan, items in zip(all_plans, items_per_rank, strict=True) 2025-12-04T09:08:00.4403581Z >>> ] 2025-12-04T09:08:00.4403847Z >>> return super().create_global_plan(all_plans) 2025-12-04T09:08:00.4404178Z 2025-12-04T09:08:00.4404437Z Finally, some planners need to save additional metadata in the checkpoint, this is 2025-12-04T09:08:00.4405098Z accomplished by having each rank contribute their data items in the local plan and 2025-12-04T09:08:00.4405608Z the global planner aggregate them: 2025-12-04T09:08:00.4405810Z 2025-12-04T09:08:00.4405921Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:08:00.4406295Z >>> class SaveExtraDataPlanner(DefaultSavePlanner): 2025-12-04T09:08:00.4406686Z >>> def create_local_plan(self) -> SavePlan: 2025-12-04T09:08:00.4407039Z >>> plan = super().create_local_plan() 2025-12-04T09:08:00.4407542Z >>> return replace(plan, planner_data="per-rank-data") 2025-12-04T09:08:00.4407903Z >>> 2025-12-04T09:08:00.4408318Z >>> def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]: 2025-12-04T09:08:00.4408926Z >>> global_plan, metadata = super().create_global_plan(all_plans) 2025-12-04T09:08:00.4409408Z >>> merged_data = [p.planner_data for p in global_plan] 2025-12-04T09:08:00.4409857Z >>> metadata = replace(metadata, planner_data=merged_data) 2025-12-04T09:08:00.4410242Z >>> return global_plan, metadata 2025-12-04T09:08:00.4410467Z 2025-12-04T09:08:00.4410993Z Original Error: IndentationError('expected an indented block after function definition on line 3', ('', 9, 0, '_._ = None\n', 9, -1)) 2025-12-04T09:08:00.4411724Z 2025-12-04T09:08:00.4411810Z _._ = None 2025-12-04T09:08:00.4412018Z ^ 2025-12-04T09:08:00.4412776Z 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. 2025-12-04T09:08:00.4413726Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:00.4414101Z 2025-12-04T09:08:00.4414384Z Abstract class defining the protocol used by load_state_dict to plan the load process. 2025-12-04T09:08:00.4414803Z 2025-12-04T09:08:00.4415087Z LoadPlanner are stateful objects that can be used to customize the whole load process. 2025-12-04T09:08:00.4415493Z 2025-12-04T09:08:00.4415784Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T09:08:00.4416287Z will be visible to the whole process. 2025-12-04T09:08:00.4416512Z 2025-12-04T09:08:00.4416785Z A planner subclass can expect the following sequence of calls during load_state_dict: 2025-12-04T09:08:00.4417198Z 2025-12-04T09:08:00.4417312Z 1) set_up_planner - called on all ranks. 2025-12-04T09:08:00.4417662Z Signals the start of loading a checkpoint. 2025-12-04T09:08:00.4417896Z 2025-12-04T09:08:00.4418017Z 2) create_local_plan - called on all ranks. 2025-12-04T09:08:00.4418530Z Process the state_dict and produces a `LoadPlan` that will be sent for global planning. 2025-12-04T09:08:00.4418943Z 2025-12-04T09:08:00.4419120Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T09:08:00.4419611Z Takes the LoadPlan from all ranks and make any global decision. 2025-12-04T09:08:00.4419919Z 2025-12-04T09:08:00.4420057Z 4) load_bytes - called multiple times on each rank 2025-12-04T09:08:00.4420479Z This is called once per non-tensor value in state_dict. 2025-12-04T09:08:00.4420754Z 2025-12-04T09:08:00.4420985Z 5) resolve_tensor and commit_tensor - called multiple times on each rank 2025-12-04T09:08:00.4421498Z They are called in pair for each Tensor value in state_dict. 2025-12-04T09:08:00.4421802Z 2025-12-04T09:08:00.4422100Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as 2025-12-04T09:08:00.4422709Z most changes can be expressed by changes in a single method. 2025-12-04T09:08:00.4423000Z 2025-12-04T09:08:00.4423136Z There are two usual patterns of extension: 2025-12-04T09:08:00.4423366Z 2025-12-04T09:08:00.4423618Z Rewriting state_dict. This is the simplest way to extend the load process as it 2025-12-04T09:08:00.4424246Z doesn't requite understanding the intrincacies of how LoadPlan works. We need 2025-12-04T09:08:00.4424849Z to keep a reference to the original state_dict as load happens in place so 2025-12-04T09:08:00.4425316Z we need to be able to perform it in place 2025-12-04T09:08:00.4425541Z 2025-12-04T09:08:00.4425651Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:08:00.4425999Z >>> class RenamePlanner(DefaultLoadPlanner): 2025-12-04T09:08:00.4426336Z >>> def set_up_planner( 2025-12-04T09:08:00.4426591Z >>> self, 2025-12-04T09:08:00.4426840Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T09:08:00.4427154Z >>> metadata: Metadata, 2025-12-04T09:08:00.4427434Z >>> is_coordinator: bool, 2025-12-04T09:08:00.4427792Z >>> ) -> None: 2025-12-04T09:08:00.4428059Z >>> self.original_state_dict = state_dict 2025-12-04T09:08:00.4428471Z >>> state_dict = {"foo_" + k: v for k, v in state_dict.items()} 2025-12-04T09:08:00.4428834Z >>> 2025-12-04T09:08:00.4429067Z >>> if self.flatten_sharded_tensors: 2025-12-04T09:08:00.4429446Z >>> state_dict = _flatten_sharded_tensors(state_dict) 2025-12-04T09:08:00.4429786Z >>> 2025-12-04T09:08:00.4430005Z >>> if self.flatten_state_dict: 2025-12-04T09:08:00.4430408Z >>> state_dict, self.mappings = flatten_state_dict(state_dict) 2025-12-04T09:08:00.4430781Z >>> 2025-12-04T09:08:00.4431000Z >>> self.state_dict = state_dict 2025-12-04T09:08:00.4431322Z >>> self.metadata = metadata 2025-12-04T09:08:00.4431735Z >>> self.is_coordinator = is_coordinator 2025-12-04T09:08:00.4432053Z >>> 2025-12-04T09:08:00.4432287Z >>> def load_bytes(self, read_item, value): 2025-12-04T09:08:00.4432619Z >>> # Remove the "foo_" prefix 2025-12-04T09:08:00.4433120Z >>> self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False) 2025-12-04T09:08:00.4433567Z 2025-12-04T09:08:00.4433571Z 2025-12-04T09:08:00.4433830Z Modifying resolve_tensor and commit_tensor to handle load time transformation. 2025-12-04T09:08:00.4434212Z 2025-12-04T09:08:00.4434336Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:08:00.4434692Z >>> class MetaModelMaterialize(DefaultSavePlanner): 2025-12-04T09:08:00.4435079Z >>> def resolve_tensor(self, read_item): 2025-12-04T09:08:00.4435436Z >>> tensor = super().resolve_tensor(read_item) 2025-12-04T09:08:00.4435826Z >>> return torch.empty_like(tensor, device="cpu") 2025-12-04T09:08:00.4436153Z >>> 2025-12-04T09:08:00.4436390Z >>> def commit_tensor(self, read_item, tensor): 2025-12-04T09:08:00.4436790Z >>> self.state_dict[read_item.dest_index.fqn] = tensor 2025-12-04T09:08:00.4437055Z 2025-12-04T09:08:00.4437593Z Original Error: IndentationError('expected an indented block after function definition on line 22', ('', 23, 0, '_._ = None\n', 23, -1)) 2025-12-04T09:08:00.4438249Z 2025-12-04T09:08:00.4438333Z _._ = None 2025-12-04T09:08:00.4438537Z ^ 2025-12-04T09:08:00.8732061Z 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. 2025-12-04T09:08:00.8733052Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:00.8733417Z 2025-12-04T09:08:00.8733624Z ``FullStateDictConfig`` is a config class meant to be used with 2025-12-04T09:08:00.8734139Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both 2025-12-04T09:08:00.8734680Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state 2025-12-04T09:08:00.8735216Z dicts to save GPU memory and CPU memory, respectively. This config class 2025-12-04T09:08:00.8735752Z is meant to be used via the :func:`state_dict_type` context manager as 2025-12-04T09:08:00.8736151Z follows: 2025-12-04T09:08:00.8736266Z 2025-12-04T09:08:00.8736401Z >>> # xdoctest: +SKIP("undefined variables") 2025-12-04T09:08:00.8736861Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-12-04T09:08:00.8737342Z >>> fsdp = FSDP(model, auto_wrap_policy=...) 2025-12-04T09:08:00.8737784Z >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True) 2025-12-04T09:08:00.8738321Z >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg): 2025-12-04T09:08:00.8738755Z >>> state = fsdp.state_dict() 2025-12-04T09:08:00.8739172Z >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0. 2025-12-04T09:08:00.8739750Z >>> # To reload checkpoint for inference, finetuning, transfer learning, etc: 2025-12-04T09:08:00.8740326Z >>> model = model_fn() # Initialize model in preparation for wrapping with FSDP 2025-12-04T09:08:00.8740808Z >>> if dist.get_rank() == 0: 2025-12-04T09:08:00.8741452Z >>> # Load checkpoint only on rank 0 to avoid memory redundancy 2025-12-04T09:08:00.8741895Z >>> state_dict = torch.load("my_checkpoint.pt") 2025-12-04T09:08:00.8742251Z >>> model.load_state_dict(state_dict) 2025-12-04T09:08:00.8742711Z >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument 2025-12-04T09:08:00.8743307Z >>> # communicates loaded checkpoint states from rank 0 to rest of the world. 2025-12-04T09:08:00.8743762Z >>> fsdp = FSDP( 2025-12-04T09:08:00.8743989Z ... model, 2025-12-04T09:08:00.8744254Z ... device_id=torch.cuda.current_device(), 2025-12-04T09:08:00.8744598Z ... auto_wrap_policy=..., 2025-12-04T09:08:00.8744887Z ... sync_module_states=True, 2025-12-04T09:08:00.8745300Z ... ) 2025-12-04T09:08:00.8745635Z >>> # After this point, all ranks have FSDP model with loaded checkpoint. 2025-12-04T09:08:00.8745965Z 2025-12-04T09:08:00.8746053Z Attributes: 2025-12-04T09:08:00.8746387Z rank0_only (bool): If ``True``, then only rank 0 saves the full state 2025-12-04T09:08:00.8746917Z dict, and nonzero ranks save an empty dict. If ``False``, then all 2025-12-04T09:08:00.8747381Z ranks save the full state dict. (Default: ``False``) 2025-12-04T09:08:00.8747661Z 2025-12-04T09:08:00.8748157Z Original Error: IndentationError("expected an indented block after 'if' statement on line 10", ('', 11, 1, '_._ = None\n', 11, 2)) 2025-12-04T09:08:00.8748773Z 2025-12-04T09:08:00.8748853Z _._ = None 2025-12-04T09:08:00.8749055Z ^ 2025-12-04T09:08:03.1071285Z 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. 2025-12-04T09:08:03.1072284Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:03.1072814Z Register a parametrization to a tensor in a module. 2025-12-04T09:08:03.1073101Z 2025-12-04T09:08:03.1073393Z Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``, 2025-12-04T09:08:03.1074068Z the module will return the parametrized version ``parametrization(module.weight)``. 2025-12-04T09:08:03.1074727Z If the original tensor requires a gradient, the backward pass will differentiate 2025-12-04T09:08:03.1075402Z through :attr:`parametrization`, and the optimizer will update the tensor accordingly. 2025-12-04T09:08:03.1075811Z 2025-12-04T09:08:03.1076131Z The first time that a module registers a parametrization, this function will add an attribute 2025-12-04T09:08:03.1076814Z ``parametrizations`` to the module of type :class:`~ParametrizationList`. 2025-12-04T09:08:03.1077174Z 2025-12-04T09:08:03.1077430Z The list of parametrizations on the tensor ``weight`` will be accessible under 2025-12-04T09:08:03.1077940Z ``module.parametrizations.weight``. 2025-12-04T09:08:03.1078170Z 2025-12-04T09:08:03.1078322Z The original tensor will be accessible under 2025-12-04T09:08:03.1078713Z ``module.parametrizations.weight.original``. 2025-12-04T09:08:03.1078980Z 2025-12-04T09:08:03.1079240Z Parametrizations may be concatenated by registering several parametrizations 2025-12-04T09:08:03.1079726Z on the same attribute. 2025-12-04T09:08:03.1079898Z 2025-12-04T09:08:03.1080150Z The training mode of a registered parametrization is updated on registration 2025-12-04T09:08:03.1080634Z to match the training mode of the host module 2025-12-04T09:08:03.1080889Z 2025-12-04T09:08:03.1081194Z Parametrized parameters and buffers have an inbuilt caching system that can be activated 2025-12-04T09:08:03.1081746Z using the context manager :func:`cached`. 2025-12-04T09:08:03.1081974Z 2025-12-04T09:08:03.1082226Z A :attr:`parametrization` may optionally implement a method with signature 2025-12-04T09:08:03.1082602Z 2025-12-04T09:08:03.1082731Z .. code-block:: python 2025-12-04T09:08:03.1082906Z 2025-12-04T09:08:03.1083326Z def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]] 2025-12-04T09:08:03.1083666Z 2025-12-04T09:08:03.1084017Z This method is called on the unparametrized tensor when the first parametrization 2025-12-04T09:08:03.1084617Z is registered to compute the initial value of the original tensor. 2025-12-04T09:08:03.1085253Z If this method is not implemented, the original tensor will be just the unparametrized tensor. 2025-12-04T09:08:03.1085681Z 2025-12-04T09:08:03.1086003Z If all the parametrizations registered on a tensor implement `right_inverse` it is possible 2025-12-04T09:08:03.1086712Z to initialize a parametrized tensor by assigning to it, as shown in the example below. 2025-12-04T09:08:03.1087129Z 2025-12-04T09:08:03.1087361Z It is possible for the first parametrization to depend on several inputs. 2025-12-04T09:08:03.1088059Z This may be implemented returning a tuple of tensors from ``right_inverse`` 2025-12-04T09:08:03.1088662Z (see the example implementation of a ``RankOne`` parametrization below). 2025-12-04T09:08:03.1089010Z 2025-12-04T09:08:03.1089344Z In this case, the unconstrained tensors are also located under ``module.parametrizations.weight`` 2025-12-04T09:08:03.1089933Z with names ``original0``, ``original1``,... 2025-12-04T09:08:03.1090167Z 2025-12-04T09:08:03.1090267Z .. note:: 2025-12-04T09:08:03.1090392Z 2025-12-04T09:08:03.1090657Z If unsafe=False (default) both the forward and right_inverse methods will be called 2025-12-04T09:08:03.1091205Z once to perform a number of consistency checks. 2025-12-04T09:08:03.1091731Z If unsafe=True, then right_inverse will be called if the tensor is not parametrized, 2025-12-04T09:08:03.1092246Z and nothing will be called otherwise. 2025-12-04T09:08:03.1092474Z 2025-12-04T09:08:03.1092559Z .. note:: 2025-12-04T09:08:03.1092697Z 2025-12-04T09:08:03.1092900Z In most situations, ``right_inverse`` will be a function such that 2025-12-04T09:08:03.1093344Z ``forward(right_inverse(X)) == X`` (see 2025-12-04T09:08:03.1093909Z `right inverse `_). 2025-12-04T09:08:03.1094563Z Sometimes, when the parametrization is not surjective, it may be reasonable 2025-12-04T09:08:03.1095016Z to relax this. 2025-12-04T09:08:03.1095179Z 2025-12-04T09:08:03.1095267Z .. warning:: 2025-12-04T09:08:03.1095399Z 2025-12-04T09:08:03.1095690Z If a parametrization depends on several inputs, :func:`~register_parametrization` 2025-12-04T09:08:03.1096332Z will register a number of new parameters. If such parametrization is registered 2025-12-04T09:08:03.1096987Z after the optimizer is created, these new parameters will need to be added manually 2025-12-04T09:08:03.1097580Z to the optimizer. See :meth:`torch.Optimizer.add_param_group`. 2025-12-04T09:08:03.1097891Z 2025-12-04T09:08:03.1097986Z Args: 2025-12-04T09:08:03.1098311Z module (nn.Module): module on which to register the parametrization 2025-12-04T09:08:03.1098862Z tensor_name (str): name of the parameter or buffer on which to register 2025-12-04T09:08:03.1099297Z the parametrization 2025-12-04T09:08:03.1099678Z parametrization (nn.Module): the parametrization to register 2025-12-04T09:08:03.1100088Z Keyword args: 2025-12-04T09:08:03.1100448Z unsafe (bool): a boolean flag that denotes whether the parametrization 2025-12-04T09:08:03.1100975Z may change the dtype and shape of the tensor. Default: `False` 2025-12-04T09:08:03.1101543Z Warning: the parametrization is not checked for consistency upon registration. 2025-12-04T09:08:03.1102051Z Enable this flag at your own risk. 2025-12-04T09:08:03.1102276Z 2025-12-04T09:08:03.1102369Z Raises: 2025-12-04T09:08:03.1102769Z ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name` 2025-12-04T09:08:03.1103187Z 2025-12-04T09:08:03.1103272Z Examples: 2025-12-04T09:08:03.1103620Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK) 2025-12-04T09:08:03.1103978Z >>> import torch 2025-12-04T09:08:03.1104236Z >>> import torch.nn as nn 2025-12-04T09:08:03.1104570Z >>> import torch.nn.utils.parametrize as P 2025-12-04T09:08:03.1104905Z >>> 2025-12-04T09:08:03.1105122Z >>> class Symmetric(nn.Module): 2025-12-04T09:08:03.1105443Z >>> def forward(self, X): 2025-12-04T09:08:03.1105823Z >>> return X.triu() + X.triu(1).T # Return a symmetric matrix 2025-12-04T09:08:03.1106188Z >>> 2025-12-04T09:08:03.1106418Z >>> def right_inverse(self, A): 2025-12-04T09:08:03.1106732Z >>> return A.triu() 2025-12-04T09:08:03.1107090Z >>> 2025-12-04T09:08:03.1107306Z >>> m = nn.Linear(5, 5) 2025-12-04T09:08:03.1107658Z >>> P.register_parametrization(m, "weight", Symmetric()) 2025-12-04T09:08:03.1108186Z >>> print(torch.allclose(m.weight, m.weight.T)) # m.weight is now symmetric 2025-12-04T09:08:03.1108620Z True 2025-12-04T09:08:03.1108846Z >>> A = torch.rand(5, 5) 2025-12-04T09:08:03.1109148Z >>> A = A + A.T # A is now symmetric 2025-12-04T09:08:03.1109554Z >>> m.weight = A # Initialize the weight to be the symmetric matrix A 2025-12-04T09:08:03.1109996Z >>> print(torch.allclose(m.weight, A)) 2025-12-04T09:08:03.1110314Z True 2025-12-04T09:08:03.1110434Z 2025-12-04T09:08:03.1110537Z >>> class RankOne(nn.Module): 2025-12-04T09:08:03.1110848Z >>> def forward(self, x, y): 2025-12-04T09:08:03.1111204Z >>> # Form a rank 1 matrix multiplying two vectors 2025-12-04T09:08:03.1111596Z >>> return x.unsqueeze(-1) @ y.unsqueeze(-2) 2025-12-04T09:08:03.1111918Z >>> 2025-12-04T09:08:03.1112142Z >>> def right_inverse(self, Z): 2025-12-04T09:08:03.1112474Z >>> # Project Z onto the rank 1 matrices 2025-12-04T09:08:03.1112844Z >>> U, S, Vh = torch.linalg.svd(Z, full_matrices=False) 2025-12-04T09:08:03.1113237Z >>> # Return rescaled singular vectors 2025-12-04T09:08:03.1113583Z >>> s0_sqrt = S[0].sqrt().unsqueeze(-1) 2025-12-04T09:08:03.1113950Z >>> return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt 2025-12-04T09:08:03.1114302Z >>> 2025-12-04T09:08:03.1114572Z >>> linear_rank_one = P.register_parametrization( 2025-12-04T09:08:03.1114959Z ... nn.Linear(4, 4), "weight", RankOne() 2025-12-04T09:08:03.1115267Z ... ) 2025-12-04T09:08:03.1115595Z >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item()) 2025-12-04T09:08:03.1116000Z 1 2025-12-04T09:08:03.1116115Z 2025-12-04T09:08:03.1116198Z 2025-12-04T09:08:03.1116835Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 3, 0, '_._ = None\n', 3, -1)) 2025-12-04T09:08:03.1117473Z 2025-12-04T09:08:03.1117566Z _._ = None 2025-12-04T09:08:03.1117760Z ^ 2025-12-04T09:08:03.2143570Z 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. 2025-12-04T09:08:03.2144552Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:03.2145110Z Reduce learning rate when a metric has stopped improving. 2025-12-04T09:08:03.2145403Z 2025-12-04T09:08:03.2145614Z Models often benefit from reducing the learning rate by a factor 2025-12-04T09:08:03.2146110Z of 2-10 once learning stagnates. This scheduler reads a metrics 2025-12-04T09:08:03.2146615Z quantity and if no improvement is seen for a 'patience' number 2025-12-04T09:08:03.2147053Z of epochs, the learning rate is reduced. 2025-12-04T09:08:03.2147305Z 2025-12-04T09:08:03.2147386Z Args: 2025-12-04T09:08:03.2147640Z optimizer (Optimizer): Wrapped optimizer. 2025-12-04T09:08:03.2148260Z mode (str): One of `min`, `max`. In `min` mode, lr will 2025-12-04T09:08:03.2148692Z be reduced when the quantity monitored has stopped 2025-12-04T09:08:03.2149281Z decreasing; in `max` mode it will be reduced when the 2025-12-04T09:08:03.2149756Z quantity monitored has stopped increasing. Default: 'min'. 2025-12-04T09:08:03.2150242Z factor (float): Factor by which the learning rate will be 2025-12-04T09:08:03.2150654Z reduced. new_lr = lr * factor. Default: 0.1. 2025-12-04T09:08:03.2151124Z patience (int): The number of allowed epochs with no improvement after 2025-12-04T09:08:03.2151592Z which the learning rate will be reduced. 2025-12-04T09:08:03.2152061Z For example, consider the case of having no patience (`patience = 0`). 2025-12-04T09:08:03.2152866Z In the first epoch, a baseline is established and is always considered good as there's no previous baseline. 2025-12-04T09:08:03.2153560Z In the second epoch, if the performance is worse than the baseline, 2025-12-04T09:08:03.2154038Z we have what is considered an intolerable epoch. 2025-12-04T09:08:03.2154553Z Since the count of intolerable epochs (1) is greater than the patience level (0), 2025-12-04T09:08:03.2155111Z the learning rate is reduced at the end of this epoch. 2025-12-04T09:08:03.2155719Z From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch 2025-12-04T09:08:03.2156480Z if the performance is worse than the baseline. If the performance improves or remains the same, 2025-12-04T09:08:03.2157025Z the learning rate is not adjusted. 2025-12-04T09:08:03.2157355Z Default: 10. 2025-12-04T09:08:03.2157711Z threshold (float): Threshold for measuring the new optimum, 2025-12-04T09:08:03.2158168Z to only focus on significant changes. Default: 1e-4. 2025-12-04T09:08:03.2158617Z threshold_mode (str): One of `rel`, `abs`. In `rel` mode, 2025-12-04T09:08:03.2159068Z dynamic_threshold = best * ( 1 + threshold ) in 'max' 2025-12-04T09:08:03.2159491Z mode or best * ( 1 - threshold ) in `min` mode. 2025-12-04T09:08:03.2159891Z In `abs` mode, dynamic_threshold = best + threshold in 2025-12-04T09:08:03.2160340Z `max` mode or best - threshold in `min` mode. Default: 'rel'. 2025-12-04T09:08:03.2160807Z cooldown (int): Number of epochs to wait before resuming 2025-12-04T09:08:03.2161261Z normal operation after lr has been reduced. Default: 0. 2025-12-04T09:08:03.2161716Z min_lr (float or list): A scalar or a list of scalars. A 2025-12-04T09:08:03.2162155Z lower bound on the learning rate of all param groups 2025-12-04T09:08:03.2162567Z or each group respectively. Default: 0. 2025-12-04T09:08:03.2162981Z eps (float): Minimal decay applied to lr. If the difference 2025-12-04T09:08:03.2163455Z between new and old lr is smaller than eps, the update is 2025-12-04T09:08:03.2163859Z ignored. Default: 1e-8. 2025-12-04T09:08:03.2164138Z 2025-12-04T09:08:03.2164227Z Example: 2025-12-04T09:08:03.2164463Z >>> # xdoctest: +SKIP 2025-12-04T09:08:03.2164884Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9) 2025-12-04T09:08:03.2165382Z >>> scheduler = ReduceLROnPlateau(optimizer, "min") 2025-12-04T09:08:03.2165769Z >>> for epoch in range(10): 2025-12-04T09:08:03.2166068Z >>> train(...) 2025-12-04T09:08:03.2166340Z >>> val_loss = validate(...) 2025-12-04T09:08:03.2166686Z >>> # Note that step should be called after validate() 2025-12-04T09:08:03.2167059Z >>> scheduler.step(val_loss) 2025-12-04T09:08:03.2167276Z 2025-12-04T09:08:03.2167506Z .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png 2025-12-04T09:08:03.2167883Z 2025-12-04T09:08:03.2168520Z Original Error: IndentationError('unexpected indent', ('', 8, 4, ' scheduler.step(val_loss)\n', 8, -1)) 2025-12-04T09:08:03.2169065Z 2025-12-04T09:08:03.2169167Z scheduler.step(val_loss) 2025-12-04T09:08:03.2169435Z ^ 2025-12-04T09:08:06.7650288Z running 894 test(s) 2025-12-04T09:08:06.7656035Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::typename:0, line 1111 <- wrt source file 2025-12-04T09:08:06.7664001Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::typename:0 2025-12-04T09:08:06.7665106Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_tensor:0, line 1142 <- wrt source file 2025-12-04T09:08:06.7669066Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_tensor:0 2025-12-04T09:08:06.7670473Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_storage:0, line 1157 <- wrt source file 2025-12-04T09:08:06.7677495Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_storage:0 2025-12-04T09:08:06.7678654Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_device:0, line 1247 <- wrt source file 2025-12-04T09:08:06.7680337Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_device:0 2025-12-04T09:08:06.7681737Z * 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 2025-12-04T09:08:06.7683006Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_tensor_type:0 2025-12-04T09:08:06.7684286Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_dtype:0, line 1333 <- wrt source file 2025-12-04T09:08:06.7685810Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_dtype:0 2025-12-04T09:08:06.7687335Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::use_deterministic_algorithms:0, line 1497 <- wrt source file 2025-12-04T09:08:06.7688711Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::use_deterministic_algorithms:0 2025-12-04T09:08:06.7689884Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::compile:0, line 2655 <- wrt source file 2025-12-04T09:08:06.7691131Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::compile:0 2025-12-04T09:08:06.7692368Z * 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 2025-12-04T09:08:06.7693954Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0 2025-12-04T09:08:06.7695544Z * 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 2025-12-04T09:08:06.7696888Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::Generator:0 2025-12-04T09:08:06.7698201Z * 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 2025-12-04T09:08:06.7699574Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::_LinAlgError:0 2025-12-04T09:08:06.7700779Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::custom_op:0, line 55 <- wrt source file 2025-12-04T09:08:06.7703842Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::custom_op:0 2025-12-04T09:08:06.7704956Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl:0, line 138 <- wrt source file 2025-12-04T09:08:06.7706057Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl:0 2025-12-04T09:08:06.7707163Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl_abstract:0, line 208 <- wrt source file 2025-12-04T09:08:06.8222716Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl_abstract:0 2025-12-04T09:08:06.8224027Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_namedtensor_internals.py::update_names:0, line 118 <- wrt source file 2025-12-04T09:08:06.8225532Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_namedtensor_internals.py::update_names:0 2025-12-04T09:08:06.8226744Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_hook:0, line 681 <- wrt source file 2025-12-04T09:08:06.8248209Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_hook:0 2025-12-04T09:08:06.8249641Z * 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 2025-12-04T09:08:06.8271261Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0 2025-12-04T09:08:06.8272557Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.refine_names:0, line 1374 <- wrt source file 2025-12-04T09:08:06.8392723Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.refine_names:0 2025-12-04T09:08:06.8396224Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.align_to:0, line 1419 <- wrt source file 2025-12-04T09:08:06.8402078Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.align_to:0 2025-12-04T09:08:06.8403227Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.rename:0, line 1492 <- wrt source file 2025-12-04T09:08:06.8419157Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.rename:0 2025-12-04T09:08:06.8420322Z * 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 2025-12-04T09:08:06.8512788Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0 2025-12-04T09:08:06.8515080Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.dim_order:0, line 1554 <- wrt source file 2025-12-04T09:08:06.8534536Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.dim_order:0 2025-12-04T09:08:06.8536794Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor_str.py::set_printoptions:0, line 53 <- wrt source file 2025-12-04T09:08:06.8571268Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor_str.py::set_printoptions:0 2025-12-04T09:08:06.8573579Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_tensors:0, line 64 <- wrt source file 2025-12-04T09:08:06.8588018Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_tensors:0 2025-12-04T09:08:06.8591533Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_shapes:0, line 92 <- wrt source file 2025-12-04T09:08:06.8593951Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_shapes:0 2025-12-04T09:08:06.8596163Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::split:0, line 144 <- wrt source file 2025-12-04T09:08:06.8606658Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::split:0 2025-12-04T09:08:06.8608797Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::einsum:0, line 258 <- wrt source file 2025-12-04T09:08:06.8635780Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::einsum:0 2025-12-04T09:08:06.8637921Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::meshgrid:0, line 450 <- wrt source file 2025-12-04T09:08:06.8677059Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::meshgrid:0 2025-12-04T09:08:06.8679254Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_impl:0, line 835 <- wrt source file 2025-12-04T09:08:06.8768753Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_impl:0 2025-12-04T09:08:06.8771094Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_consecutive_impl:0, line 992 <- wrt source file 2025-12-04T09:08:06.8782452Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_consecutive_impl:0 2025-12-04T09:08:06.8784801Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::tensordot:0, line 1267 <- wrt source file 2025-12-04T09:08:06.8795727Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::tensordot:0 2025-12-04T09:08:06.8797953Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cartesian_prod:0, line 1351 <- wrt source file 2025-12-04T09:08:06.8804055Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cartesian_prod:0 2025-12-04T09:08:06.8806291Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::block_diag:0, line 1385 <- wrt source file 2025-12-04T09:08:06.8815555Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::block_diag:0 2025-12-04T09:08:06.8817698Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cdist:0, line 1441 <- wrt source file 2025-12-04T09:08:06.8831610Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cdist:0 2025-12-04T09:08:06.8833769Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_1d:0, line 1482 <- wrt source file 2025-12-04T09:08:06.8851189Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_1d:0 2025-12-04T09:08:06.8853407Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_2d:0, line 1520 <- wrt source file 2025-12-04T09:08:06.8871678Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_2d:0 2025-12-04T09:08:06.8873853Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_3d:0, line 1560 <- wrt source file 2025-12-04T09:08:06.8897160Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_3d:0 2025-12-04T09:08:06.8899505Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::norm:0, line 1735 <- wrt source file 2025-12-04T09:08:06.8935078Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::norm:0 2025-12-04T09:08:06.8937242Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::unravel_index:0, line 1905 <- wrt source file 2025-12-04T09:08:06.8969418Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::unravel_index:0 2025-12-04T09:08:06.8971683Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::chain_matmul:0, line 2005 <- wrt source file 2025-12-04T09:08:06.8974163Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::chain_matmul:0 2025-12-04T09:08:06.8976353Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_lu_impl:0, line 2106 <- wrt source file 2025-12-04T09:08:06.8978516Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_lu_impl:0 2025-12-04T09:08:06.8980558Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::list:0, line 477 <- wrt source file 2025-12-04T09:08:06.8982517Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::list:0 2025-12-04T09:08:06.8984429Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::help:0, line 537 <- wrt source file 2025-12-04T09:08:06.8986402Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::help:0 2025-12-04T09:08:06.8988331Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load:0, line 628 <- wrt source file 2025-12-04T09:08:06.8990303Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load:0 2025-12-04T09:08:06.8992269Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::_load_local:0, line 676 <- wrt source file 2025-12-04T09:08:06.8994319Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::_load_local:0 2025-12-04T09:08:06.8996445Z * 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 2025-12-04T09:08:06.8998671Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::download_url_to_file:0 2025-12-04T09:08:06.9000908Z * 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 2025-12-04T09:08:06.9003214Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load_state_dict_from_url:0 2025-12-04T09:08:06.9005539Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.define:0, line 145 <- wrt source file 2025-12-04T09:08:06.9007786Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.define:0 2025-12-04T09:08:06.9010151Z * 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 2025-12-04T09:08:06.9012715Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library._impl_with_aoti_compile:0 2025-12-04T09:08:06.9015046Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.impl:0, line 300 <- wrt source file 2025-12-04T09:08:06.9017228Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.impl:0 2025-12-04T09:08:06.9019461Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::define:0, line 521 <- wrt source file 2025-12-04T09:08:06.9029242Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::define:0 2025-12-04T09:08:06.9031244Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::impl:0, line 627 <- wrt source file 2025-12-04T09:08:06.9047316Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::impl:0 2025-12-04T09:08:06.9049589Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_kernel:0, line 809 <- wrt source file 2025-12-04T09:08:06.9052034Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_kernel:0 2025-12-04T09:08:06.9054264Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autocast:0, line 877 <- wrt source file 2025-12-04T09:08:06.9056551Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autocast:0 2025-12-04T09:08:06.9058823Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autograd:0, line 1164 <- wrt source file 2025-12-04T09:08:06.9280283Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autograd:0 2025-12-04T09:08:06.9282625Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_torch_dispatch:0, line 1280 <- wrt source file 2025-12-04T09:08:06.9381074Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_torch_dispatch:0 2025-12-04T09:08:06.9383373Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_vmap:0, line 1369 <- wrt source file 2025-12-04T09:08:06.9584311Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_vmap:0 2025-12-04T09:08:06.9586445Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::opcheck:0, line 1694 <- wrt source file 2025-12-04T09:08:06.9588561Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::opcheck:0 2025-12-04T09:08:06.9590790Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_ignored_functions:0, line 117 <- wrt source file 2025-12-04T09:08:06.9593815Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_ignored_functions:0 2025-12-04T09:08:06.9596293Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_testing_overrides:0, line 435 <- wrt source file 2025-12-04T09:08:06.9634253Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_testing_overrides:0 2025-12-04T09:08:06.9636643Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::wrap_torch_function:0, line 1589 <- wrt source file 2025-12-04T09:08:06.9639064Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::wrap_torch_function:0 2025-12-04T09:08:06.9641458Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::handle_torch_function:0, line 1725 <- wrt source file 2025-12-04T09:08:06.9643983Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::handle_torch_function:0 2025-12-04T09:08:06.9646454Z * 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 2025-12-04T09:08:06.9679077Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_method_or_property:0 2025-12-04T09:08:06.9681510Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_like:0, line 1993 <- wrt source file 2025-12-04T09:08:06.9687270Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_like:0 2025-12-04T09:08:06.9689528Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/quasirandom.py::SobolEngine:0, line 39 <- wrt source file 2025-12-04T09:08:06.9691813Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/quasirandom.py::SobolEngine:0 2025-12-04T09:08:06.9694116Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::add_safe_globals:0, line 300 <- wrt source file 2025-12-04T09:08:06.9696721Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::add_safe_globals:0 2025-12-04T09:08:06.9699081Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::safe_globals:0, line 325 <- wrt source file 2025-12-04T09:08:06.9701413Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::safe_globals:0 2025-12-04T09:08:06.9703689Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::skip_data:0, line 401 <- wrt source file 2025-12-04T09:08:06.9705994Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::skip_data:0 2025-12-04T09:08:06.9708319Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::register_package:0, line 473 <- wrt source file 2025-12-04T09:08:06.9710734Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::register_package:0 2025-12-04T09:08:06.9713040Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::save:0, line 960 <- wrt source file 2025-12-04T09:08:06.9715233Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::save:0 2025-12-04T09:08:06.9717386Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::load:0, line 1379 <- wrt source file 2025-12-04T09:08:06.9719581Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::load:0 2025-12-04T09:08:06.9721784Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/torch_version.py::TorchVersion:0, line 19 <- wrt source file 2025-12-04T09:08:06.9724184Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/torch_version.py::TorchVersion:0 2025-12-04T09:08:06.9726542Z * 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 2025-12-04T09:08:06.9729028Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_mode_options:0 2025-12-04T09:08:06.9731406Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_options:0, line 388 <- wrt source file 2025-12-04T09:08:06.9733788Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_options:0 2025-12-04T09:08:06.9736348Z * 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 2025-12-04T09:08:06.9739193Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0 2025-12-04T09:08:06.9742000Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::current_accelerator:0, line 117 <- wrt source file 2025-12-04T09:08:06.9744635Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::current_accelerator:0 2025-12-04T09:08:06.9747205Z * 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 2025-12-04T09:08:06.9749967Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::get_device_capability:0 2025-12-04T09:08:06.9752453Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::device_index:0, line 276 <- wrt source file 2025-12-04T09:08:06.9755063Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::device_index:0 2025-12-04T09:08:06.9757434Z * 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 2025-12-04T09:08:06.9759842Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::allow_in_graph:0 2025-12-04T09:08:06.9762276Z * 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 2025-12-04T09:08:07.3936263Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::substitute_in_graph:0 2025-12-04T09:08:07.3937549Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::wrap_numpy:0, line 416 <- wrt source file 2025-12-04T09:08:07.3938796Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::wrap_numpy:0 2025-12-04T09:08:07.3940003Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_compiling:0, line 448 <- wrt source file 2025-12-04T09:08:07.3941230Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_compiling:0 2025-12-04T09:08:07.3942459Z * 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 2025-12-04T09:08:07.3944056Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0 2025-12-04T09:08:07.3945298Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_exporting:0, line 487 <- wrt source file 2025-12-04T09:08:07.3947667Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_exporting:0 2025-12-04T09:08:07.3948940Z * 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 2025-12-04T09:08:07.3950376Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0 2025-12-04T09:08:07.3951682Z * 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 2025-12-04T09:08:07.3952995Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0 2025-12-04T09:08:07.3954243Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py::_compile_kernel:0, line 1788 <- wrt source file 2025-12-04T09:08:07.3955463Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py::_compile_kernel:0 2025-12-04T09:08:07.3956887Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::save:0, line 349 <- wrt source file 2025-12-04T09:08:07.3958032Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::save:0 2025-12-04T09:08:07.3959155Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::load:0, line 422 <- wrt source file 2025-12-04T09:08:07.3960286Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::load:0 2025-12-04T09:08:07.3961455Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::register_dataclass:0, line 581 <- wrt source file 2025-12-04T09:08:07.3962831Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::register_dataclass:0 2025-12-04T09:08:07.3964124Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.then:0, line 152 <- wrt source file 2025-12-04T09:08:07.3965341Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.then:0 2025-12-04T09:08:07.3966582Z * 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 2025-12-04T09:08:07.3967926Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.add_done_callback:0 2025-12-04T09:08:07.3969206Z * 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 2025-12-04T09:08:07.3970477Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_result:0 2025-12-04T09:08:07.3971734Z * 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 2025-12-04T09:08:07.3973046Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_exception:0 2025-12-04T09:08:07.3974265Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::collect_all:0, line 299 <- wrt source file 2025-12-04T09:08:07.3975474Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::collect_all:0 2025-12-04T09:08:07.3976620Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/__init__.py::annotate:0, line 147 <- wrt source file 2025-12-04T09:08:07.3977749Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/__init__.py::annotate:0 2025-12-04T09:08:07.3978982Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0, line 22 <- wrt source file 2025-12-04T09:08:07.3980349Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0 2025-12-04T09:08:07.3981593Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/mps/__init__.py::compile_shader:0, line 148 <- wrt source file 2025-12-04T09:08:07.3982775Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/mps/__init__.py::compile_shader:0 2025-12-04T09:08:07.3983964Z * 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 2025-12-04T09:08:07.4086253Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::as_nested_tensor:0 2025-12-04T09:08:07.4088859Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor:0, line 240 <- wrt source file 2025-12-04T09:08:07.4091711Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor:0 2025-12-04T09:08:07.4093957Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::narrow:0, line 315 <- wrt source file 2025-12-04T09:08:07.4174312Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::narrow:0 2025-12-04T09:08:07.4176660Z * 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 2025-12-04T09:08:07.4182972Z W1204 09:08:07.417000 1416 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. 2025-12-04T09:08:07.4202207Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0 2025-12-04T09:08:07.4204721Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::masked_select:0, line 481 <- wrt source file 2025-12-04T09:08:07.4248577Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::masked_select:0 2025-12-04T09:08:07.4250959Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::sum:0, line 223 <- wrt source file 2025-12-04T09:08:07.4279973Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::sum:0 2025-12-04T09:08:07.4282419Z * 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 2025-12-04T09:08:07.4296154Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0 2025-12-04T09:08:07.4298701Z * 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 2025-12-04T09:08:07.4384186Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0 2025-12-04T09:08:07.4386702Z * 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 2025-12-04T09:08:07.4389268Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0 2025-12-04T09:08:07.4391959Z * 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 2025-12-04T09:08:07.4394812Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0 2025-12-04T09:08:07.4397899Z * 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 2025-12-04T09:08:07.4401318Z * 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 2025-12-04T09:08:07.4404397Z * 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 2025-12-04T09:08:07.4407404Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0 2025-12-04T09:08:07.4410347Z * 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 2025-12-04T09:08:07.4413479Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0 2025-12-04T09:08:07.4416282Z * 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 2025-12-04T09:08:07.4418937Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/wrappers.py::allow_in_pre_dispatch_graph:0 2025-12-04T09:08:07.4421569Z * 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 2025-12-04T09:08:07.4762459Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py::aot_function:0 2025-12-04T09:08:07.4765155Z * 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 2025-12-04T09:08:07.4767942Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0 2025-12-04T09:08:07.4770443Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::vjp:0, line 234 <- wrt source file 2025-12-04T09:08:07.4859458Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::vjp:0 2025-12-04T09:08:07.4861897Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacrev:0, line 476 <- wrt source file 2025-12-04T09:08:07.4959533Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacrev:0 2025-12-04T09:08:07.4961956Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jvp:0, line 1024 <- wrt source file 2025-12-04T09:08:07.5931448Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jvp:0 2025-12-04T09:08:07.5933904Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0, line 1182 <- wrt source file 2025-12-04T09:08:07.6007055Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0 2025-12-04T09:08:07.6009546Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::hessian:0, line 1342 <- wrt source file 2025-12-04T09:08:07.6029821Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::hessian:0 2025-12-04T09:08:07.6032363Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::functionalize:0, line 1506 <- wrt source file 2025-12-04T09:08:07.6035663Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::functionalize:0 2025-12-04T09:08:07.6038228Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::linearize:0, line 1705 <- wrt source file 2025-12-04T09:08:07.6234216Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::linearize:0 2025-12-04T09:08:07.6237120Z * 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 2025-12-04T09:08:07.6239774Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/functional_call.py::functional_call:0 2025-12-04T09:08:07.6242265Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/fx_minifier.py::minifier:0, line 194 <- wrt source file 2025-12-04T09:08:07.6244730Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/fx_minifier.py::minifier:0 2025-12-04T09:08:07.6247436Z * 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 2025-12-04T09:08:07.6250596Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0 2025-12-04T09:08:07.6253708Z * 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 2025-12-04T09:08:07.6256741Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::InductorWrapper.post_compile:0 2025-12-04T09:08:07.6259580Z * 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 2025-12-04T09:08:07.6262406Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0 2025-12-04T09:08:07.6265252Z * 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 2025-12-04T09:08:07.6268190Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0 2025-12-04T09:08:07.6270741Z * 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 2025-12-04T09:08:07.6273052Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/cond.py::cond:0 2025-12-04T09:08:07.6275508Z * 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 2025-12-04T09:08:07.6278212Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0 2025-12-04T09:08:07.6280631Z * 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 2025-12-04T09:08:07.6282932Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/map.py::map:0 2025-12-04T09:08:07.6285723Z * 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 2025-12-04T09:08:07.6288903Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/partitioner.py::HopPartitionedGraph._reorder_fw_output:0 2025-12-04T09:08:07.6291539Z * 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 2025-12-04T09:08:07.6293840Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/scan.py::scan:0 2025-12-04T09:08:07.6296268Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py::WritableTempFile:0, line 385 <- wrt source file 2025-12-04T09:08:07.6298962Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py::WritableTempFile:0 2025-12-04T09:08:07.6301641Z * 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 2025-12-04T09:08:07.6304584Z * 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 2025-12-04T09:08:07.6307392Z * 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 2025-12-04T09:08:07.6310145Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0 2025-12-04T09:08:07.6312920Z * 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 2025-12-04T09:08:07.6315648Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/fx_passes/graph_view.py::_clean_stack_name:0 2025-12-04T09:08:07.6318276Z * 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 2025-12-04T09:08:07.6320880Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/kernel/custom_op.py::CustomOpConfig:0 2025-12-04T09:08:07.6323615Z * 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 2025-12-04T09:08:07.6326596Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/kernel/custom_op.py::register_custom_op_autotuning:0 2025-12-04T09:08:07.6329502Z * 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 2025-12-04T09:08:07.6332465Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_lock_with_timeout:0 2025-12-04T09:08:07.6335432Z * 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 2025-12-04T09:08:07.6338541Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_lock_with_timeout:0 2025-12-04T09:08:07.6341542Z * 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 2025-12-04T09:08:07.6344533Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_flock_with_timeout:0 2025-12-04T09:08:07.6347532Z * 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 2025-12-04T09:08:07.6350799Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_flock_with_timeout:0 2025-12-04T09:08:07.6353866Z * 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 2025-12-04T09:08:07.6357014Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/template_heuristics/registry.py::register_template_heuristic:0 2025-12-04T09:08:07.6359890Z * 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 2025-12-04T09:08:07.6731015Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::custom_op:0 2025-12-04T09:08:07.6732377Z * 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 2025-12-04T09:08:07.6848823Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0 2025-12-04T09:08:07.6850348Z * 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 2025-12-04T09:08:07.6852053Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0 2025-12-04T09:08:07.6853470Z * 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 2025-12-04T09:08:07.7082414Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0 2025-12-04T09:08:07.7083812Z * 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 2025-12-04T09:08:07.7310009Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0 2025-12-04T09:08:07.7311412Z * 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 2025-12-04T09:08:07.7312874Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0 2025-12-04T09:08:07.7314276Z * 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 2025-12-04T09:08:07.7315684Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0 2025-12-04T09:08:07.7317044Z * 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 2025-12-04T09:08:07.7411606Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0 2025-12-04T09:08:07.7412931Z * 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 2025-12-04T09:08:07.7419518Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/infer_schema.py::infer_schema:0 2025-12-04T09:08:07.7420735Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::triton_op:0, line 136 <- wrt source file 2025-12-04T09:08:07.7421917Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::triton_op:0 2025-12-04T09:08:07.7423086Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::wrap_triton:0, line 307 <- wrt source file 2025-12-04T09:08:07.7424292Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::wrap_triton:0 2025-12-04T09:08:07.7425467Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_logging/_internal.py::set_logs:0, line 460 <- wrt source file 2025-12-04T09:08:07.7426662Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_logging/_internal.py::set_logs:0 2025-12-04T09:08:07.7428088Z * 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 2025-12-04T09:08:07.7465547Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_equal:0 2025-12-04T09:08:07.7466828Z * 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 2025-12-04T09:08:07.7468157Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::print_assert_equal:0 2025-12-04T09:08:07.7469452Z * 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 2025-12-04T09:08:07.7521333Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_almost_equal:0 2025-12-04T09:08:07.7522643Z * 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 2025-12-04T09:08:07.7525466Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_approx_equal:0 2025-12-04T09:08:07.7526776Z * 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 2025-12-04T09:08:07.7590403Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_equal:0 2025-12-04T09:08:07.7591740Z * 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 2025-12-04T09:08:07.7652361Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal:0 2025-12-04T09:08:07.7653698Z * 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 2025-12-04T09:08:07.7706702Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0 2025-12-04T09:08:07.7707998Z * 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 2025-12-04T09:08:07.7709334Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0 2025-12-04T09:08:07.7710638Z * 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 2025-12-04T09:08:07.7728069Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0 2025-12-04T09:08:07.7729443Z * 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 2025-12-04T09:08:07.7732932Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0 2025-12-04T09:08:07.7734302Z * 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 2025-12-04T09:08:07.7738145Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0 2025-12-04T09:08:07.7739420Z * 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 2025-12-04T09:08:07.7740877Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0 2025-12-04T09:08:07.7742103Z * 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 2025-12-04T09:08:07.7745721Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_warns:0 2025-12-04T09:08:07.7747033Z * 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 2025-12-04T09:08:07.7749025Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::clear_and_catch_warnings:0 2025-12-04T09:08:07.7750879Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims/context.py::TorchRefsMode:0, line 95 <- wrt source file 2025-12-04T09:08:07.7752339Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims/context.py::TorchRefsMode:0 2025-12-04T09:08:07.7753787Z * 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 2025-12-04T09:08:07.7755638Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/complex_tensor/_ops/common.py::is_complex_tensor:0 2025-12-04T09:08:07.7757311Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/amp/grad_scaler.py::GradScaler:0, line 64 <- wrt source file 2025-12-04T09:08:07.7758511Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/amp/grad_scaler.py::GradScaler:0 2025-12-04T09:08:07.7759868Z * 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 2025-12-04T09:08:07.7761363Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0 2025-12-04T09:08:07.7762924Z * 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 2025-12-04T09:08:07.7764692Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0 2025-12-04T09:08:07.7766268Z * 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 2025-12-04T09:08:07.7767860Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0 2025-12-04T09:08:07.7769443Z * 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 2025-12-04T09:08:07.7771080Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0 2025-12-04T09:08:07.7772638Z * 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 2025-12-04T09:08:07.7774221Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0 2025-12-04T09:08:07.7775663Z * 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 2025-12-04T09:08:07.7780724Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0 2025-12-04T09:08:07.7782120Z * 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 2025-12-04T09:08:07.7816320Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0 2025-12-04T09:08:07.7818183Z * 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 2025-12-04T09:08:07.7819666Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0 2025-12-04T09:08:07.7821132Z * 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 2025-12-04T09:08:07.7822453Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0 2025-12-04T09:08:07.7823723Z * 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 2025-12-04T09:08:07.7825192Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0 2025-12-04T09:08:07.7826751Z * 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 2025-12-04T09:08:07.7828312Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0 2025-12-04T09:08:07.7829678Z * 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 2025-12-04T09:08:07.7832769Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0 2025-12-04T09:08:07.7834522Z * 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 2025-12-04T09:08:07.7836042Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0 2025-12-04T09:08:07.7837520Z * 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 2025-12-04T09:08:07.7839010Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0 2025-12-04T09:08:07.7840556Z * 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 2025-12-04T09:08:07.7842531Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0 2025-12-04T09:08:07.7844169Z * 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 2025-12-04T09:08:07.7845735Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0 2025-12-04T09:08:07.7847385Z * 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 2025-12-04T09:08:07.7849476Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0 2025-12-04T09:08:07.7851581Z * 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 2025-12-04T09:08:07.7853234Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0 2025-12-04T09:08:07.7854781Z * 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 2025-12-04T09:08:07.7856226Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0 2025-12-04T09:08:07.7857613Z * 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 2025-12-04T09:08:07.7859111Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0 2025-12-04T09:08:07.7860492Z * 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 2025-12-04T09:08:07.7861861Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0 2025-12-04T09:08:07.7863247Z * 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 2025-12-04T09:08:07.7864676Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0 2025-12-04T09:08:07.7866089Z * 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 2025-12-04T09:08:07.7867727Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0 2025-12-04T09:08:07.7870433Z * 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 2025-12-04T09:08:07.7873555Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0 2025-12-04T09:08:07.7876643Z * 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 2025-12-04T09:08:07.7879705Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0 2025-12-04T09:08:07.7882239Z * 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 2025-12-04T09:08:07.7885377Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv1d:0 2025-12-04T09:08:07.7888261Z * 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 2025-12-04T09:08:07.7891222Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0 2025-12-04T09:08:07.7893928Z * 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 2025-12-04T09:08:07.7896454Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0 2025-12-04T09:08:07.7899083Z * 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 2025-12-04T09:08:07.7901970Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0 2025-12-04T09:08:07.7904706Z * 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 2025-12-04T09:08:07.7907484Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0 2025-12-04T09:08:07.7910214Z * 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 2025-12-04T09:08:07.7913000Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0 2025-12-04T09:08:07.7915859Z * 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 2025-12-04T09:08:07.7918683Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0 2025-12-04T09:08:07.7921501Z * 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 2025-12-04T09:08:07.7924468Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0 2025-12-04T09:08:07.7927428Z * 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 2025-12-04T09:08:07.7930549Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0 2025-12-04T09:08:07.7933550Z * 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 2025-12-04T09:08:07.7936572Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0 2025-12-04T09:08:07.7939333Z * 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 2025-12-04T09:08:07.7941944Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0 2025-12-04T09:08:07.7944417Z * 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 2025-12-04T09:08:07.7946879Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/rnn.py::LSTM:0 2025-12-04T09:08:07.7950133Z * 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 2025-12-04T09:08:07.7953912Z * 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 2025-12-04T09:08:07.7957456Z * 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 2025-12-04T09:08:07.7960966Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0 2025-12-04T09:08:07.7964246Z * 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 2025-12-04T09:08:07.7967076Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0 2025-12-04T09:08:07.7969908Z * 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 2025-12-04T09:08:07.7972865Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0 2025-12-04T09:08:07.7975880Z * 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 2025-12-04T09:08:07.7979199Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier.squash_mask:0 2025-12-04T09:08:07.7982060Z * 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 2025-12-04T09:08:07.7984724Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0 2025-12-04T09:08:07.7987421Z * 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 2025-12-04T09:08:07.7990268Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0 2025-12-04T09:08:07.7993105Z * 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 2025-12-04T09:08:07.7996055Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0 2025-12-04T09:08:07.7998925Z * 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 2025-12-04T09:08:07.8001838Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0 2025-12-04T09:08:07.8004798Z * 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 2025-12-04T09:08:07.8007857Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0 2025-12-04T09:08:07.8010577Z * 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 2025-12-04T09:08:07.8013112Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_args:0 2025-12-04T09:08:07.8015683Z * 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 2025-12-04T09:08:07.8018411Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0 2025-12-04T09:08:07.8020975Z * 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 2025-12-04T09:08:07.8023506Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0 2025-12-04T09:08:07.8026030Z * 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 2025-12-04T09:08:07.8028710Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0 2025-12-04T09:08:07.8031338Z * 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 2025-12-04T09:08:07.8034012Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0 2025-12-04T09:08:07.8036592Z * 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 2025-12-04T09:08:07.8039194Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0 2025-12-04T09:08:07.8041948Z * 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 2025-12-04T09:08:07.8044885Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0 2025-12-04T09:08:07.8047815Z * 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 2025-12-04T09:08:07.8051119Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0 2025-12-04T09:08:07.8053952Z * 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 2025-12-04T09:08:07.8056659Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0 2025-12-04T09:08:07.8059336Z * 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 2025-12-04T09:08:07.8062128Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0 2025-12-04T09:08:07.8064831Z * 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 2025-12-04T09:08:07.8067517Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0 2025-12-04T09:08:07.8070131Z * 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 2025-12-04T09:08:07.8072761Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0 2025-12-04T09:08:07.8075336Z * 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 2025-12-04T09:08:07.8077972Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0 2025-12-04T09:08:07.8080600Z * 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 2025-12-04T09:08:07.8083296Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0 2025-12-04T09:08:07.8085970Z * 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 2025-12-04T09:08:07.8088783Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0 2025-12-04T09:08:07.8091371Z * 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 2025-12-04T09:08:07.8094009Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0 2025-12-04T09:08:07.8096547Z * 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 2025-12-04T09:08:07.8099136Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0 2025-12-04T09:08:07.8102017Z * 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 2025-12-04T09:08:07.8105066Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/backend_config/backend_config.py::DTypeConfig:0 2025-12-04T09:08:07.8108081Z * 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 2025-12-04T09:08:07.8111208Z * 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 2025-12-04T09:08:07.8114204Z * 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 2025-12-04T09:08:07.8117177Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report.py::ModelReport:0 2025-12-04T09:08:07.8120673Z * 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 2025-12-04T09:08:07.8124714Z * 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 2025-12-04T09:08:07.8128678Z * 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 2025-12-04T09:08:07.8132714Z * 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 2025-12-04T09:08:07.8136676Z * 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 2025-12-04T09:08:07.8140691Z * 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 2025-12-04T09:08:07.8144697Z * 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 2025-12-04T09:08:07.8148803Z * 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 2025-12-04T09:08:07.8152444Z * 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 2025-12-04T09:08:07.8155716Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0 2025-12-04T09:08:07.8158751Z * 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 2025-12-04T09:08:07.8161839Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0 2025-12-04T09:08:07.8164878Z * 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 2025-12-04T09:08:07.8168013Z * 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 2025-12-04T09:08:07.8171064Z * 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 2025-12-04T09:08:07.8174262Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0 2025-12-04T09:08:07.8177039Z * 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 2025-12-04T09:08:07.8179569Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0 2025-12-04T09:08:07.8181969Z * 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 2025-12-04T09:08:07.8201329Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::make_dual:0 2025-12-04T09:08:07.8203729Z * 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 2025-12-04T09:08:07.8206288Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::unpack_dual:0 2025-12-04T09:08:07.8208646Z * 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 2025-12-04T09:08:07.8211014Z * 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 2025-12-04T09:08:07.8262376Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hessian:0 2025-12-04T09:08:07.8264664Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vhp:0, line 1026 <- wrt source file 2025-12-04T09:08:07.8266956Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vhp:0 2025-12-04T09:08:07.8269208Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hvp:0, line 1125 <- wrt source file 2025-12-04T09:08:07.8271480Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hvp:0 2025-12-04T09:08:07.8273699Z * 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 2025-12-04T09:08:07.8275991Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::no_grad:0 2025-12-04T09:08:07.8278294Z * 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 2025-12-04T09:08:07.8280662Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::enable_grad:0 2025-12-04T09:08:07.8283037Z * 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 2025-12-04T09:08:07.8285598Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0 2025-12-04T09:08:07.8288039Z * 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 2025-12-04T09:08:07.8290506Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::inference_mode:0 2025-12-04T09:08:07.8292955Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.name:0, line 60 <- wrt source file 2025-12-04T09:08:07.8295234Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.name:0 2025-12-04T09:08:07.8297571Z * 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 2025-12-04T09:08:07.8300036Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.register_hook:0 2025-12-04T09:08:07.8302475Z * 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 2025-12-04T09:08:07.8305146Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.register_prehook:0 2025-12-04T09:08:07.8307620Z * 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 2025-12-04T09:08:07.8310097Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0 2025-12-04T09:08:07.8312424Z * 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 2025-12-04T09:08:07.8314725Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::save_on_cpu:0 2025-12-04T09:08:07.8317171Z * 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 2025-12-04T09:08:07.8319812Z * SKIPPED: 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2025-12-04T09:08:07.8351927Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler_util.py::EventList:0, line 60 <- wrt source file 2025-12-04T09:08:07.8354377Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler_util.py::EventList:0 2025-12-04T09:08:07.8356706Z * 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 2025-12-04T09:08:07.8359041Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_register_buffer:0 2025-12-04T09:08:07.8361364Z * 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 2025-12-04T09:08:07.8363843Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0 2025-12-04T09:08:07.8366060Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::GdsFile:0, line 86 <- wrt source file 2025-12-04T09:08:07.8368178Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::GdsFile:0 2025-12-04T09:08:07.8370385Z * 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 2025-12-04T09:08:07.8372738Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0 2025-12-04T09:08:07.8375040Z * 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 2025-12-04T09:08:07.8377392Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1 2025-12-04T09:08:07.8379720Z * 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 2025-12-04T09:08:07.8382059Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2 2025-12-04T09:08:07.8384502Z * 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 2025-12-04T09:08:07.8387141Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0 2025-12-04T09:08:07.8389522Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/profiler.py::profile:0, line 75 <- wrt source file 2025-12-04T09:08:07.8391745Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/profiler.py::profile:0 2025-12-04T09:08:07.8394222Z * 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 2025-12-04T09:08:07.8397021Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.composition:0 2025-12-04T09:08:07.8399754Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.complement:0, line 142 <- wrt source file 2025-12-04T09:08:07.8402545Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.complement:0 2025-12-04T09:08:07.8405339Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.remap_to_tensor:0, line 281 <- wrt source file 2025-12-04T09:08:07.8408172Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.remap_to_tensor:0 2025-12-04T09:08:07.8410931Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0, line 167 <- wrt source file 2025-12-04T09:08:07.8413433Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0 2025-12-04T09:08:07.8416049Z * 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 2025-12-04T09:08:07.8418866Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0 2025-12-04T09:08:07.8421550Z * 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 2025-12-04T09:08:07.8424264Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::init_device_mesh:0 2025-12-04T09:08:07.8426975Z * 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 2025-12-04T09:08:07.8429782Z * 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 2025-12-04T09:08:07.8482042Z * 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 2025-12-04T09:08:07.8484875Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather:0 2025-12-04T09:08:07.8487573Z * 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 2025-12-04T09:08:07.8490461Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather_into_tensor:0 2025-12-04T09:08:07.8493257Z * 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/_composable/replicate_with_fsdp.py::replicate:0 2025-12-04T09:08:07.8579419Z * 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 2025-12-04T09:08:07.8582650Z * 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 2025-12-04T09:08:07.8585751Z * 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 2025-12-04T09:08:07.8588807Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py::init_from_local_shards:0 2025-12-04T09:08:07.8591810Z * 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 2025-12-04T09:08:07.8836808Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/format_utils.py::DynamicMetaLoadPlanner:0 2025-12-04T09:08:07.8839897Z * 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 2025-12-04T09:08:07.8843141Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/optimizer.py::load_sharded_optimizer_state_dict:0 2025-12-04T09:08:07.8846191Z * 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 2025-12-04T09:08:07.8849050Z * SKIPPED: 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2025-12-04T09:08:07.9320130Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/bernoulli.py::Bernoulli:0 2025-12-04T09:08:07.9322450Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/beta.py::Beta:0, line 21 <- wrt source file 2025-12-04T09:08:07.9324802Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/beta.py::Beta:0 2025-12-04T09:08:07.9327122Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/binomial.py::Binomial:0, line 31 <- wrt source file 2025-12-04T09:08:07.9329578Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/binomial.py::Binomial:0 2025-12-04T09:08:07.9332056Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/categorical.py::Categorical:0, line 42 <- wrt source file 2025-12-04T09:08:07.9334692Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/categorical.py::Categorical:0 2025-12-04T09:08:07.9337119Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/cauchy.py::Cauchy:0, line 23 <- wrt source file 2025-12-04T09:08:07.9339497Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/cauchy.py::Cauchy:0 2025-12-04T09:08:07.9341752Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/chi2.py::Chi2:0, line 18 <- wrt source file 2025-12-04T09:08:07.9344031Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/chi2.py::Chi2:0 2025-12-04T09:08:07.9346443Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::is_dependent:0, line 167 <- wrt source file 2025-12-04T09:08:07.9349206Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::is_dependent:0 2025-12-04T09:08:07.9351897Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::_DependentProperty:0, line 188 <- wrt source file 2025-12-04T09:08:07.9354674Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::_DependentProperty:0 2025-12-04T09:08:07.9357540Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0, line 35 <- wrt source file 2025-12-04T09:08:07.9360577Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0 2025-12-04T09:08:07.9363266Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/dirichlet.py::Dirichlet:0, line 44 <- wrt source file 2025-12-04T09:08:07.9365948Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/dirichlet.py::Dirichlet:0 2025-12-04T09:08:07.9368647Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/exponential.py::Exponential:0, line 20 <- wrt source file 2025-12-04T09:08:07.9371260Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/exponential.py::Exponential:0 2025-12-04T09:08:07.9373911Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0, line 21 <- wrt source file 2025-12-04T09:08:07.9376685Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0 2025-12-04T09:08:07.9379131Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gamma.py::Gamma:0, line 24 <- wrt source file 2025-12-04T09:08:07.9381549Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gamma.py::Gamma:0 2025-12-04T09:08:07.9384124Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0, line 26 <- wrt source file 2025-12-04T09:08:07.9387038Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0 2025-12-04T09:08:07.9389671Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/geometric.py::Geometric:0, line 36 <- wrt source file 2025-12-04T09:08:07.9392168Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/geometric.py::Geometric:0 2025-12-04T09:08:07.9394524Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gumbel.py::Gumbel:0, line 23 <- wrt source file 2025-12-04T09:08:07.9396879Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gumbel.py::Gumbel:0 2025-12-04T09:08:07.9399287Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0, line 24 <- wrt source file 2025-12-04T09:08:07.9401839Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0 2025-12-04T09:08:07.9404387Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_normal.py::HalfNormal:0, line 24 <- wrt source file 2025-12-04T09:08:07.9406948Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_normal.py::HalfNormal:0 2025-12-04T09:08:07.9409497Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/independent.py::Independent:0, line 27 <- wrt source file 2025-12-04T09:08:07.9412108Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/independent.py::Independent:0 2025-12-04T09:08:07.9414688Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0, line 24 <- wrt source file 2025-12-04T09:08:07.9417330Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0 2025-12-04T09:08:07.9419925Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0, line 30 <- wrt source file 2025-12-04T09:08:07.9422528Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0 2025-12-04T09:08:07.9424967Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/laplace.py::Laplace:0, line 20 <- wrt source file 2025-12-04T09:08:07.9427357Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/laplace.py::Laplace:0 2025-12-04T09:08:07.9429893Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0, line 43 <- wrt source file 2025-12-04T09:08:07.9432506Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0 2025-12-04T09:08:07.9435008Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/log_normal.py::LogNormal:0, line 23 <- wrt source file 2025-12-04T09:08:07.9437501Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/log_normal.py::LogNormal:0 2025-12-04T09:08:07.9440083Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0, line 28 <- wrt source file 2025-12-04T09:08:07.9442895Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0 2025-12-04T09:08:07.9445936Z * 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 2025-12-04T09:08:07.9449347Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lowrank_multivariate_normal.py::LowRankMultivariateNormal:0 2025-12-04T09:08:07.9452355Z * 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 2025-12-04T09:08:07.9455298Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/mixture_same_family.py::MixtureSameFamily:0 2025-12-04T09:08:07.9458029Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multinomial.py::Multinomial:0, line 38 <- wrt source file 2025-12-04T09:08:07.9460665Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multinomial.py::Multinomial:0 2025-12-04T09:08:07.9463410Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0, line 103 <- wrt source file 2025-12-04T09:08:07.9466375Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0 2025-12-04T09:08:07.9468975Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/normal.py::Normal:0, line 22 <- wrt source file 2025-12-04T09:08:07.9471340Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/normal.py::Normal:0 2025-12-04T09:08:07.9473903Z * 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 2025-12-04T09:08:07.9476813Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0 2025-12-04T09:08:07.9479401Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/pareto.py::Pareto:0, line 20 <- wrt source file 2025-12-04T09:08:07.9481779Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/pareto.py::Pareto:0 2025-12-04T09:08:07.9484186Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/poisson.py::Poisson:0, line 25 <- wrt source file 2025-12-04T09:08:07.9486583Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/poisson.py::Poisson:0 2025-12-04T09:08:07.9489360Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0, line 130 <- wrt source file 2025-12-04T09:08:07.9492209Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0 2025-12-04T09:08:07.9495155Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0, line 117 <- wrt source file 2025-12-04T09:08:07.9498227Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0 2025-12-04T09:08:07.9500914Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/studentT.py::StudentT:0, line 22 <- wrt source file 2025-12-04T09:08:07.9503460Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/studentT.py::StudentT:0 2025-12-04T09:08:07.9505964Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CatTransform:0, line 1076 <- wrt source file 2025-12-04T09:08:07.9508584Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CatTransform:0 2025-12-04T09:08:07.9511173Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::StackTransform:0, line 1190 <- wrt source file 2025-12-04T09:08:07.9513847Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::StackTransform:0 2025-12-04T09:08:07.9516707Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0, line 1268 <- wrt source file 2025-12-04T09:08:07.9519820Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0 2025-12-04T09:08:07.9522493Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/uniform.py::Uniform:0, line 21 <- wrt source file 2025-12-04T09:08:07.9524947Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/uniform.py::Uniform:0 2025-12-04T09:08:07.9527315Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/utils.py::clamp_probs:0, line 114 <- wrt source file 2025-12-04T09:08:07.9529758Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/utils.py::clamp_probs:0 2025-12-04T09:08:07.9532144Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/von_mises.py::VonMises:0, line 119 <- wrt source file 2025-12-04T09:08:07.9534613Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/von_mises.py::VonMises:0 2025-12-04T09:08:07.9536999Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/weibull.py::Weibull:0, line 22 <- wrt source file 2025-12-04T09:08:07.9539391Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/weibull.py::Weibull:0 2025-12-04T09:08:07.9541710Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/wishart.py::Wishart:0, line 39 <- wrt source file 2025-12-04T09:08:07.9544109Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/wishart.py::Wishart:0 2025-12-04T09:08:07.9546522Z * 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 2025-12-04T09:08:07.9549268Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/_unlift.py::_convert_guards_code_to_fn:0 2025-12-04T09:08:07.9551823Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::Dim:0, line 123 <- wrt source file 2025-12-04T09:08:07.9554156Z * 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 2025-12-04T09:08:07.9931745Z * 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 2025-12-04T09:08:07.9935390Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0, line 37 <- wrt source file 2025-12-04T09:08:07.9938555Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0 2025-12-04T09:08:07.9941645Z * 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 2025-12-04T09:08:07.9944828Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_load_for_lite_interpreter:0 2025-12-04T09:08:07.9948030Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0, line 125 <- wrt source file 2025-12-04T09:08:07.9951529Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0 2025-12-04T09:08:07.9954667Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0, line 225 <- wrt source file 2025-12-04T09:08:07.9957726Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0 2025-12-04T09:08:07.9960522Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/_ops.py::logaddexp:0, line 1538 <- wrt source file 2025-12-04T09:08:07.9963134Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/_ops.py::logaddexp:0 2025-12-04T09:08:07.9966023Z * 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 2025-12-04T09:08:07.9969164Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0 2025-12-04T09:08:07.9972309Z * 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 2025-12-04T09:08:07.9975581Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0 2025-12-04T09:08:07.9978793Z * 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 2025-12-04T09:08:08.0053637Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0 2025-12-04T09:08:08.0076453Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::gumbel_softmax:0, line 2198 <- wrt source file 2025-12-04T09:08:08.0087321Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::gumbel_softmax:0 2025-12-04T09:08:08.0090199Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding:0, line 2503 <- wrt source file 2025-12-04T09:08:08.0098189Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding:0 2025-12-04T09:08:08.0100462Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding_bag:0, line 2645 <- wrt source file 2025-12-04T09:08:08.0110529Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding_bag:0 2025-12-04T09:08:08.0112790Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::ctc_loss:0, line 3087 <- wrt source file 2025-12-04T09:08:08.0147282Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::ctc_loss:0 2025-12-04T09:08:08.0149648Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::nll_loss:0, line 3157 <- wrt source file 2025-12-04T09:08:08.0191614Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::nll_loss:0 2025-12-04T09:08:08.0193873Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::cross_entropy:0, line 3476 <- wrt source file 2025-12-04T09:08:08.0213928Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::cross_entropy:0 2025-12-04T09:08:08.0216330Z * 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 2025-12-04T09:08:08.0229615Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy:0 2025-12-04T09:08:08.0232224Z * 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 2025-12-04T09:08:08.0237317Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0 2025-12-04T09:08:08.0239732Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::pad:0, line 5387 <- wrt source file 2025-12-04T09:08:08.0250199Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::pad:0 2025-12-04T09:08:08.0252313Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_input:0, line 32 <- wrt source file 2025-12-04T09:08:08.0269417Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_input:0 2025-12-04T09:08:08.0271566Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_weight:0, line 79 <- wrt source file 2025-12-04T09:08:08.0275884Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_weight:0 2025-12-04T09:08:08.0278026Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_input:0, line 130 <- wrt source file 2025-12-04T09:08:08.0294521Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_input:0 2025-12-04T09:08:08.0296663Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_weight:0, line 177 <- wrt source file 2025-12-04T09:08:08.0301057Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_weight:0 2025-12-04T09:08:08.0303204Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_input:0, line 228 <- wrt source file 2025-12-04T09:08:08.0335010Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_input:0 2025-12-04T09:08:08.0337990Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_weight:0, line 275 <- wrt source file 2025-12-04T09:08:08.0356915Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_weight:0 2025-12-04T09:08:08.0359416Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::calculate_gain:0, line 172 <- wrt source file 2025-12-04T09:08:08.0361834Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::calculate_gain:0 2025-12-04T09:08:08.0363991Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::uniform_:0, line 231 <- wrt source file 2025-12-04T09:08:08.0366276Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::uniform_:0 2025-12-04T09:08:08.0368340Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::normal_:0, line 258 <- wrt source file 2025-12-04T09:08:08.0370417Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::normal_:0 2025-12-04T09:08:08.0372512Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::trunc_normal_:0, line 293 <- wrt source file 2025-12-04T09:08:08.0374688Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::trunc_normal_:0 2025-12-04T09:08:08.0376815Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::constant_:0, line 307 <- wrt source file 2025-12-04T09:08:08.0378942Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::constant_:0 2025-12-04T09:08:08.0380986Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::ones_:0, line 324 <- wrt source file 2025-12-04T09:08:08.0383032Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::ones_:0 2025-12-04T09:08:08.0385042Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::zeros_:0, line 337 <- wrt source file 2025-12-04T09:08:08.0387114Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::zeros_:0 2025-12-04T09:08:08.0389103Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::eye_:0, line 353 <- wrt source file 2025-12-04T09:08:08.0391118Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::eye_:0 2025-12-04T09:08:08.0393126Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::dirac_:0, line 375 <- wrt source file 2025-12-04T09:08:08.0395583Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::dirac_:0 2025-12-04T09:08:08.0397709Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_uniform_:0, line 461 <- wrt source file 2025-12-04T09:08:08.0399958Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_uniform_:0 2025-12-04T09:08:08.0402148Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_normal_:0, line 493 <- wrt source file 2025-12-04T09:08:08.0404424Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_normal_:0 2025-12-04T09:08:08.0406630Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_uniform_:0, line 545 <- wrt source file 2025-12-04T09:08:08.0408896Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_uniform_:0 2025-12-04T09:08:08.0411228Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_normal_:0, line 610 <- wrt source file 2025-12-04T09:08:08.0413465Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_normal_:0 2025-12-04T09:08:08.0415616Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::orthogonal_:0, line 649 <- wrt source file 2025-12-04T09:08:08.0417769Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::orthogonal_:0 2025-12-04T09:08:08.0419854Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::sparse_:0, line 702 <- wrt source file 2025-12-04T09:08:08.0441092Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::sparse_:0 2025-12-04T09:08:08.0443343Z * 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 2025-12-04T09:08:08.0445838Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0 2025-12-04T09:08:08.0448461Z * 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 2025-12-04T09:08:08.0451481Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/_registry.py::register_flash_attention_impl:0 2025-12-04T09:08:08.0454285Z * 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 2025-12-04T09:08:08.0457129Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/_registry.py::activate_flash_attention_impl:0 2025-12-04T09:08:08.0459678Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/bias.py::CausalBias:0, line 94 <- wrt source file 2025-12-04T09:08:08.0462051Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/bias.py::CausalBias:0 2025-12-04T09:08:08.0464415Z * 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 2025-12-04T09:08:08.0466845Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/varlen.py::varlen_attn:0 2025-12-04T09:08:08.0469217Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Threshold:0, line 72 <- wrt source file 2025-12-04T09:08:08.0471684Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Threshold:0 2025-12-04T09:08:08.0474035Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU:0, line 120 <- wrt source file 2025-12-04T09:08:08.0476359Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU:0 2025-12-04T09:08:08.0478651Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::RReLU:0, line 185 <- wrt source file 2025-12-04T09:08:08.0480990Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::RReLU:0 2025-12-04T09:08:08.0483331Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardtanh:0, line 247 <- wrt source file 2025-12-04T09:08:08.0485819Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardtanh:0 2025-12-04T09:08:08.0488292Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU6:0, line 318 <- wrt source file 2025-12-04T09:08:08.0490662Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU6:0 2025-12-04T09:08:08.0492989Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Sigmoid:0, line 349 <- wrt source file 2025-12-04T09:08:08.0495387Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Sigmoid:0 2025-12-04T09:08:08.0497786Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0, line 384 <- wrt source file 2025-12-04T09:08:08.0500413Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0 2025-12-04T09:08:08.0502781Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanh:0, line 420 <- wrt source file 2025-12-04T09:08:08.0505113Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanh:0 2025-12-04T09:08:08.0507405Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SiLU:0, line 456 <- wrt source file 2025-12-04T09:08:08.0509742Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SiLU:0 2025-12-04T09:08:08.0512013Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Mish:0, line 501 <- wrt source file 2025-12-04T09:08:08.0514355Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Mish:0 2025-12-04T09:08:08.0516708Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardswish:0, line 552 <- wrt source file 2025-12-04T09:08:08.0519155Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardswish:0 2025-12-04T09:08:08.0521478Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ELU:0, line 598 <- wrt source file 2025-12-04T09:08:08.0523798Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ELU:0 2025-12-04T09:08:08.0526131Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::CELU:0, line 646 <- wrt source file 2025-12-04T09:08:08.0528459Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::CELU:0 2025-12-04T09:08:08.0530750Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SELU:0, line 705 <- wrt source file 2025-12-04T09:08:08.0533091Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SELU:0 2025-12-04T09:08:08.0535381Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GLU:0, line 751 <- wrt source file 2025-12-04T09:08:08.0537707Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GLU:0 2025-12-04T09:08:08.0539992Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GELU:0, line 799 <- wrt source file 2025-12-04T09:08:08.0542324Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GELU:0 2025-12-04T09:08:08.0544703Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardshrink:0, line 848 <- wrt source file 2025-12-04T09:08:08.0547280Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardshrink:0 2025-12-04T09:08:08.0549955Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LeakyReLU:0, line 903 <- wrt source file 2025-12-04T09:08:08.0552394Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LeakyReLU:0 2025-12-04T09:08:08.0554819Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSigmoid:0, line 945 <- wrt source file 2025-12-04T09:08:08.0557312Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSigmoid:0 2025-12-04T09:08:08.0559879Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softplus:0, line 981 <- wrt source file 2025-12-04T09:08:08.0562323Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softplus:0 2025-12-04T09:08:08.0564791Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softshrink:0, line 1030 <- wrt source file 2025-12-04T09:08:08.0567291Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softshrink:0 2025-12-04T09:08:08.0569848Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0, line 1148 <- wrt source file 2025-12-04T09:08:08.0572572Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0 2025-12-04T09:08:08.0575030Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::PReLU:0, line 1613 <- wrt source file 2025-12-04T09:08:08.0577409Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::PReLU:0 2025-12-04T09:08:08.0579767Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softsign:0, line 1664 <- wrt source file 2025-12-04T09:08:08.0582193Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softsign:0 2025-12-04T09:08:08.0584587Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanhshrink:0, line 1690 <- wrt source file 2025-12-04T09:08:08.0587088Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanhshrink:0 2025-12-04T09:08:08.0589491Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmin:0, line 1728 <- wrt source file 2025-12-04T09:08:08.0591912Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmin:0 2025-12-04T09:08:08.0594270Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax:0, line 1792 <- wrt source file 2025-12-04T09:08:08.0597015Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax:0 2025-12-04T09:08:08.0599779Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax2d:0, line 1839 <- wrt source file 2025-12-04T09:08:08.0602629Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax2d:0 2025-12-04T09:08:08.0605117Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSoftmax:0, line 1878 <- wrt source file 2025-12-04T09:08:08.0607779Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSoftmax:0 2025-12-04T09:08:08.0610172Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0, line 341 <- wrt source file 2025-12-04T09:08:08.0613070Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0 2025-12-04T09:08:08.0615512Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0, line 453 <- wrt source file 2025-12-04T09:08:08.0852130Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0 2025-12-04T09:08:08.0854831Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0, line 565 <- wrt source file 2025-12-04T09:08:08.3069568Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0 2025-12-04T09:08:08.3206072Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0, line 690 <- wrt source file 2025-12-04T09:08:08.3208644Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0 2025-12-04T09:08:08.3211408Z * 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 2025-12-04T09:08:08.3214432Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm.convert_sync_batchnorm:0 2025-12-04T09:08:08.3217269Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0, line 21 <- wrt source file 2025-12-04T09:08:08.3232828Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0 2025-12-04T09:08:08.3235346Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential:0, line 81 <- wrt source file 2025-12-04T09:08:08.3237797Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential:0 2025-12-04T09:08:08.3240285Z * 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 2025-12-04T09:08:08.3246064Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.append:0 2025-12-04T09:08:08.3248653Z * 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 2025-12-04T09:08:08.3255632Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.insert:0 2025-12-04T09:08:08.3258213Z * 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 2025-12-04T09:08:08.3265514Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.extend:0 2025-12-04T09:08:08.3268038Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleList:0, line 346 <- wrt source file 2025-12-04T09:08:08.3270511Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleList:0 2025-12-04T09:08:08.3272940Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleDict:0, line 529 <- wrt source file 2025-12-04T09:08:08.3275769Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleDict:0 2025-12-04T09:08:08.3278309Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterList:0, line 661 <- wrt source file 2025-12-04T09:08:08.3280970Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterList:0 2025-12-04T09:08:08.3283563Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterDict:0, line 819 <- wrt source file 2025-12-04T09:08:08.3286285Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterDict:0 2025-12-04T09:08:08.3288947Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0, line 38 <- wrt source file 2025-12-04T09:08:08.3291537Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0 2025-12-04T09:08:08.3294064Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0, line 81 <- wrt source file 2025-12-04T09:08:08.3296665Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0 2025-12-04T09:08:08.3299033Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout:0, line 60 <- wrt source file 2025-12-04T09:08:08.3301372Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout:0 2025-12-04T09:08:08.3303701Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout1d:0, line 108 <- wrt source file 2025-12-04T09:08:08.3306086Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout1d:0 2025-12-04T09:08:08.3308413Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout2d:0, line 163 <- wrt source file 2025-12-04T09:08:08.3324799Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout2d:0 2025-12-04T09:08:08.3327146Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout3d:0, line 211 <- wrt source file 2025-12-04T09:08:08.3396353Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout3d:0 2025-12-04T09:08:08.3399161Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0, line 257 <- wrt source file 2025-12-04T09:08:08.3401780Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0 2025-12-04T09:08:08.3404351Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0, line 309 <- wrt source file 2025-12-04T09:08:08.3473028Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0 2025-12-04T09:08:08.3475877Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Flatten:0, line 29 <- wrt source file 2025-12-04T09:08:08.3480895Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Flatten:0 2025-12-04T09:08:08.3503322Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Unflatten:0, line 86 <- wrt source file 2025-12-04T09:08:08.3506166Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Unflatten:0 2025-12-04T09:08:08.3508407Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Fold:0, line 224 <- wrt source file 2025-12-04T09:08:08.3521749Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Fold:0 2025-12-04T09:08:08.3523992Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Unfold:0, line 395 <- wrt source file 2025-12-04T09:08:08.3544570Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Unfold:0 2025-12-04T09:08:08.3546986Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0, line 188 <- wrt source file 2025-12-04T09:08:08.3559022Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0 2025-12-04T09:08:08.3561594Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0, line 304 <- wrt source file 2025-12-04T09:08:08.3728118Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0 2025-12-04T09:08:08.3731080Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0, line 420 <- wrt source file 2025-12-04T09:08:08.5939500Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0 2025-12-04T09:08:08.6076778Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0, line 77 <- wrt source file 2025-12-04T09:08:08.6081157Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0 2025-12-04T09:08:08.6083493Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Identity:0, line 34 <- wrt source file 2025-12-04T09:08:08.6089783Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Identity:0 2025-12-04T09:08:08.6092045Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Linear:0, line 83 <- wrt source file 2025-12-04T09:08:08.6100716Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Linear:0 2025-12-04T09:08:08.6103261Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Bilinear:0, line 191 <- wrt source file 2025-12-04T09:08:08.6123879Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Bilinear:0 2025-12-04T09:08:08.6126538Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::L1Loss:0, line 116 <- wrt source file 2025-12-04T09:08:08.6135246Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::L1Loss:0 2025-12-04T09:08:08.6137894Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::NLLLoss:0, line 213 <- wrt source file 2025-12-04T09:08:08.6169464Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::NLLLoss:0 2025-12-04T09:08:08.6172050Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0, line 327 <- wrt source file 2025-12-04T09:08:08.6187779Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0 2025-12-04T09:08:08.6190584Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0, line 416 <- wrt source file 2025-12-04T09:08:08.6218499Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0 2025-12-04T09:08:08.6221225Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::KLDivLoss:0, line 531 <- wrt source file 2025-12-04T09:08:08.6230802Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::KLDivLoss:0 2025-12-04T09:08:08.6233051Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MSELoss:0, line 613 <- wrt source file 2025-12-04T09:08:08.6239083Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MSELoss:0 2025-12-04T09:08:08.6241310Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCELoss:0, line 696 <- wrt source file 2025-12-04T09:08:08.6247979Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCELoss:0 2025-12-04T09:08:08.6250465Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0, line 762 <- wrt source file 2025-12-04T09:08:08.6262873Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0 2025-12-04T09:08:08.6265327Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1, line 810 <- wrt source file 2025-12-04T09:08:08.6270037Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1 2025-12-04T09:08:08.6272550Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0, line 958 <- wrt source file 2025-12-04T09:08:08.6280735Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0 2025-12-04T09:08:08.6283180Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0, line 1284 <- wrt source file 2025-12-04T09:08:08.6291523Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0 2025-12-04T09:08:08.6293964Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1, line 1311 <- wrt source file 2025-12-04T09:08:08.6296440Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1 2025-12-04T09:08:08.6298910Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0, line 1464 <- wrt source file 2025-12-04T09:08:08.6305763Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0 2025-12-04T09:08:08.6308240Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0, line 1531 <- wrt source file 2025-12-04T09:08:08.6314740Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0 2025-12-04T09:08:08.6317188Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0, line 1612 <- wrt source file 2025-12-04T09:08:08.6324655Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0 2025-12-04T09:08:08.6327330Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0, line 1714 <- wrt source file 2025-12-04T09:08:08.6337781Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0 2025-12-04T09:08:08.6340530Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0, line 1827 <- wrt source file 2025-12-04T09:08:08.6372615Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0 2025-12-04T09:08:08.6375097Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CTCLoss:0, line 1959 <- wrt source file 2025-12-04T09:08:08.6402881Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CTCLoss:0 2025-12-04T09:08:08.6405682Z * 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 2025-12-04T09:08:08.6408321Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.register_buffer:0 2025-12-04T09:08:08.6410824Z * 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 2025-12-04T09:08:08.6420741Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.apply:0 2025-12-04T09:08:08.6423085Z * 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 2025-12-04T09:08:08.6429915Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.to:0 2025-12-04T09:08:08.6432366Z * 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 2025-12-04T09:08:08.6434953Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.state_dict:0 2025-12-04T09:08:08.6437510Z * 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 2025-12-04T09:08:08.6440069Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.parameters:0 2025-12-04T09:08:08.6442679Z * 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 2025-12-04T09:08:08.6445466Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_parameters:0 2025-12-04T09:08:08.6448036Z * 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 2025-12-04T09:08:08.6450675Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.buffers:0 2025-12-04T09:08:08.6453158Z * 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 2025-12-04T09:08:08.6455761Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_buffers:0 2025-12-04T09:08:08.6458312Z * 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 2025-12-04T09:08:08.6460939Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_children:0 2025-12-04T09:08:08.6464759Z * 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 2025-12-04T09:08:08.6467289Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.modules:0 2025-12-04T09:08:08.6469659Z * 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 2025-12-04T09:08:08.6472271Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_modules:0 2025-12-04T09:08:08.6474854Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0, line 38 <- wrt source file 2025-12-04T09:08:08.6484468Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0 2025-12-04T09:08:08.6487073Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LayerNorm:0, line 163 <- wrt source file 2025-12-04T09:08:08.6519937Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LayerNorm:0 2025-12-04T09:08:08.6522441Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::GroupNorm:0, line 274 <- wrt source file 2025-12-04T09:08:08.6543023Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::GroupNorm:0 2025-12-04T09:08:08.6545492Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::RMSNorm:0, line 369 <- wrt source file 2025-12-04T09:08:08.6549637Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::RMSNorm:0 2025-12-04T09:08:08.6552082Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad1d:0, line 70 <- wrt source file 2025-12-04T09:08:08.6557404Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad1d:0 2025-12-04T09:08:08.6559811Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad2d:0, line 123 <- wrt source file 2025-12-04T09:08:08.6582685Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad2d:0 2025-12-04T09:08:08.6585110Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad3d:0, line 189 <- wrt source file 2025-12-04T09:08:09.1983806Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad3d:0 2025-12-04T09:08:09.2241098Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0, line 244 <- wrt source file 2025-12-04T09:08:09.2254778Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0 2025-12-04T09:08:09.2257028Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0, line 298 <- wrt source file 2025-12-04T09:08:09.2264116Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0 2025-12-04T09:08:09.2266570Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0, line 355 <- wrt source file 2025-12-04T09:08:09.2287100Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0 2025-12-04T09:08:09.2289946Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0, line 401 <- wrt source file 2025-12-04T09:08:09.2295333Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0 2025-12-04T09:08:09.2297813Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0, line 446 <- wrt source file 2025-12-04T09:08:09.2302557Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0 2025-12-04T09:08:09.2305042Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0, line 505 <- wrt source file 2025-12-04T09:08:09.2307768Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0 2025-12-04T09:08:09.2310266Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0, line 565 <- wrt source file 2025-12-04T09:08:09.2314641Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0 2025-12-04T09:08:09.2317162Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0, line 610 <- wrt source file 2025-12-04T09:08:09.2322115Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0 2025-12-04T09:08:09.2324678Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0, line 669 <- wrt source file 2025-12-04T09:08:09.6836036Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0 2025-12-04T09:08:09.7094385Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0, line 704 <- wrt source file 2025-12-04T09:08:09.7105615Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0 2025-12-04T09:08:09.7107931Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0, line 762 <- wrt source file 2025-12-04T09:08:09.7113251Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0 2025-12-04T09:08:09.7115585Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0, line 824 <- wrt source file 2025-12-04T09:08:09.7136820Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0 2025-12-04T09:08:09.7139319Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0, line 40 <- wrt source file 2025-12-04T09:08:09.7143896Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0 2025-12-04T09:08:09.7146480Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0, line 99 <- wrt source file 2025-12-04T09:08:09.7151744Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0 2025-12-04T09:08:09.7154194Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0, line 129 <- wrt source file 2025-12-04T09:08:09.7159203Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0 2025-12-04T09:08:09.7161881Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0, line 207 <- wrt source file 2025-12-04T09:08:09.7203082Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0 2025-12-04T09:08:09.7205537Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0, line 291 <- wrt source file 2025-12-04T09:08:09.8993035Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0 2025-12-04T09:08:09.9043124Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0, line 366 <- wrt source file 2025-12-04T09:08:09.9058171Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0 2025-12-04T09:08:09.9060861Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0, line 452 <- wrt source file 2025-12-04T09:08:09.9083497Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0 2025-12-04T09:08:09.9085999Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0, line 550 <- wrt source file 2025-12-04T09:08:09.9741580Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0 2025-12-04T09:08:09.9743683Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0, line 642 <- wrt source file 2025-12-04T09:08:09.9755585Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0 2025-12-04T09:08:09.9757855Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0, line 738 <- wrt source file 2025-12-04T09:08:09.9793871Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0 2025-12-04T09:08:09.9796208Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0, line 855 <- wrt source file 2025-12-04T09:08:10.1329666Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0 2025-12-04T09:08:10.1379192Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0, line 946 <- wrt source file 2025-12-04T09:08:10.1421877Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0 2025-12-04T09:08:10.1424534Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0, line 1033 <- wrt source file 2025-12-04T09:08:10.1992920Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0 2025-12-04T09:08:10.1995405Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool1d:0, line 1156 <- wrt source file 2025-12-04T09:08:10.2002560Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool1d:0 2025-12-04T09:08:10.2004929Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool2d:0, line 1212 <- wrt source file 2025-12-04T09:08:10.2048509Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool2d:0 2025-12-04T09:08:10.2051668Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool3d:0, line 1276 <- wrt source file 2025-12-04T09:08:10.3888331Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool3d:0 2025-12-04T09:08:10.3935408Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0, line 1332 <- wrt source file 2025-12-04T09:08:10.3943161Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0 2025-12-04T09:08:10.3945716Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0, line 1367 <- wrt source file 2025-12-04T09:08:10.3954625Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0 2025-12-04T09:08:10.3957394Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0, line 1411 <- wrt source file 2025-12-04T09:08:10.3978167Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0 2025-12-04T09:08:10.3980733Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0, line 1459 <- wrt source file 2025-12-04T09:08:10.3984486Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0 2025-12-04T09:08:10.3987045Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0, line 1493 <- wrt source file 2025-12-04T09:08:10.3993980Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0 2025-12-04T09:08:10.3996561Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0, line 1533 <- wrt source file 2025-12-04T09:08:10.4019720Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0 2025-12-04T09:08:10.4022018Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNN:0, line 598 <- wrt source file 2025-12-04T09:08:10.4033006Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNN:0 2025-12-04T09:08:10.4035122Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTM:0, line 963 <- wrt source file 2025-12-04T09:08:10.4450936Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTM:0 2025-12-04T09:08:10.4453101Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRU:0, line 1305 <- wrt source file 2025-12-04T09:08:10.4469640Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRU:0 2025-12-04T09:08:10.4471824Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNNCell:0, line 1561 <- wrt source file 2025-12-04T09:08:10.4492868Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNNCell:0 2025-12-04T09:08:10.4495097Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTMCell:0, line 1683 <- wrt source file 2025-12-04T09:08:10.4513853Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTMCell:0 2025-12-04T09:08:10.4516060Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRUCell:0, line 1797 <- wrt source file 2025-12-04T09:08:10.4529118Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRUCell:0 2025-12-04T09:08:10.4531593Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding:0, line 71 <- wrt source file 2025-12-04T09:08:10.4546488Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding:0 2025-12-04T09:08:10.4549004Z * 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 2025-12-04T09:08:10.4553047Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0 2025-12-04T09:08:10.4555551Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0, line 324 <- wrt source file 2025-12-04T09:08:10.4570122Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0 2025-12-04T09:08:10.4572706Z * 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 2025-12-04T09:08:10.4577995Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0 2025-12-04T09:08:10.4580589Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer:0, line 91 <- wrt source file 2025-12-04T09:08:11.1968318Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer:0 2025-12-04T09:08:11.1983857Z * 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 2025-12-04T09:08:11.1986542Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0 2025-12-04T09:08:11.1989067Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0, line 345 <- wrt source file 2025-12-04T09:08:11.2999425Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0 2025-12-04T09:08:11.3004043Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0, line 578 <- wrt source file 2025-12-04T09:08:11.5172934Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0 2025-12-04T09:08:11.5180742Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0, line 702 <- wrt source file 2025-12-04T09:08:11.5452221Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0 2025-12-04T09:08:11.5481972Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0, line 1014 <- wrt source file 2025-12-04T09:08:11.5982212Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0 2025-12-04T09:08:11.5984950Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::Upsample:0, line 77 <- wrt source file 2025-12-04T09:08:11.6050088Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::Upsample:0 2025-12-04T09:08:11.6052546Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0, line 229 <- wrt source file 2025-12-04T09:08:11.6065695Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0 2025-12-04T09:08:11.6068244Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0, line 279 <- wrt source file 2025-12-04T09:08:11.6075572Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0 2025-12-04T09:08:11.6078021Z * 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 2025-12-04T09:08:11.6080527Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0 2025-12-04T09:08:11.6083227Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0, line 644 <- wrt source file 2025-12-04T09:08:11.6085993Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0 2025-12-04T09:08:11.6088718Z * 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 2025-12-04T09:08:11.6091596Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0 2025-12-04T09:08:11.6094401Z * 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 2025-12-04T09:08:11.6097240Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.join:0 2025-12-04T09:08:11.6100173Z * 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 2025-12-04T09:08:11.6103233Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0 2025-12-04T09:08:11.6106260Z * 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 2025-12-04T09:08:11.6109345Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1 2025-12-04T09:08:11.6112467Z * 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 2025-12-04T09:08:11.6115740Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0 2025-12-04T09:08:11.6118894Z * 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 2025-12-04T09:08:11.6122045Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_fused_optim:0 2025-12-04T09:08:11.6124880Z * 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 2025-12-04T09:08:11.6127491Z * 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 2025-12-04T09:08:11.6129942Z * 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 2025-12-04T09:08:11.6132047Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/init.py::skip_init:0 2025-12-04T09:08:11.6134463Z * 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 2025-12-04T09:08:11.6137268Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv2d_weight_memory_format:0 2025-12-04T09:08:11.6140052Z * 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 2025-12-04T09:08:11.6142929Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv3d_weight_memory_format:0 2025-12-04T09:08:11.6145526Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0, line 267 <- wrt source file 2025-12-04T09:08:11.6147972Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0 2025-12-04T09:08:11.6150572Z * 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 2025-12-04T09:08:11.6153045Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0 2025-12-04T09:08:11.6155456Z * 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 2025-12-04T09:08:11.6157968Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0 2025-12-04T09:08:11.6160235Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::identity:0, line 852 <- wrt source file 2025-12-04T09:08:11.6162376Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::identity:0 2025-12-04T09:08:11.6164623Z * 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 2025-12-04T09:08:11.6166967Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_unstructured:0 2025-12-04T09:08:11.6169221Z * 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 2025-12-04T09:08:11.6171494Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::l1_unstructured:0 2025-12-04T09:08:11.6173729Z * 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 2025-12-04T09:08:11.6176031Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_structured:0 2025-12-04T09:08:11.6178257Z * 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 2025-12-04T09:08:11.6180474Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::ln_structured:0 2025-12-04T09:08:11.6182732Z * 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 2025-12-04T09:08:11.6185072Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::global_unstructured:0 2025-12-04T09:08:11.6187538Z * 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 2025-12-04T09:08:11.6189805Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::custom_from_mask:0 2025-12-04T09:08:11.6191951Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::remove:0, line 1203 <- wrt source file 2025-12-04T09:08:11.6194044Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::remove:0 2025-12-04T09:08:11.6196127Z * 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 2025-12-04T09:08:11.6198442Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::is_pruned:0 2025-12-04T09:08:11.6200619Z * 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 2025-12-04T09:08:11.6202872Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0 2025-12-04T09:08:11.6205134Z * 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 2025-12-04T09:08:11.6207286Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_sequence:0 2025-12-04T09:08:11.6209392Z * 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 2025-12-04T09:08:11.6216784Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0 2025-12-04T09:08:11.6218943Z * 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 2025-12-04T09:08:11.6226285Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pack_sequence:0 2025-12-04T09:08:11.6228454Z * 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 2025-12-04T09:08:11.6246474Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0 2025-12-04T09:08:11.6248741Z * 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 2025-12-04T09:08:11.6254525Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0 2025-12-04T09:08:11.6256980Z * 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 2025-12-04T09:08:11.6268485Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0 2025-12-04T09:08:11.6270901Z * 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 2025-12-04T09:08:11.6273273Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/stateless.py::functional_call:0 2025-12-04T09:08:11.6275565Z * 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 2025-12-04T09:08:11.6291379Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0 2025-12-04T09:08:11.6293938Z * 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 2025-12-04T09:08:11.6297383Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0 2025-12-04T09:08:11.6299849Z * 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 2025-12-04T09:08:11.6302447Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0 2025-12-04T09:08:11.6305282Z * 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 2025-12-04T09:08:11.6308662Z * 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 2025-12-04T09:08:11.6311344Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0, line 357 <- wrt source file 2025-12-04T09:08:11.6313571Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0 2025-12-04T09:08:11.6315823Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0, line 483 <- wrt source file 2025-12-04T09:08:11.6318229Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0 2025-12-04T09:08:11.6320430Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::StepLR:0, line 608 <- wrt source file 2025-12-04T09:08:11.6322600Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::StepLR:0 2025-12-04T09:08:11.6324864Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0, line 695 <- wrt source file 2025-12-04T09:08:11.6327143Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0 2025-12-04T09:08:11.6329364Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0, line 791 <- wrt source file 2025-12-04T09:08:11.6331624Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0 2025-12-04T09:08:11.6333814Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LinearLR:0, line 898 <- wrt source file 2025-12-04T09:08:11.6336034Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LinearLR:0 2025-12-04T09:08:11.6338244Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0, line 1020 <- wrt source file 2025-12-04T09:08:11.6340589Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0 2025-12-04T09:08:11.6342858Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0, line 1097 <- wrt source file 2025-12-04T09:08:11.6345169Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0 2025-12-04T09:08:11.6347430Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0, line 1249 <- wrt source file 2025-12-04T09:08:11.6349923Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0 2025-12-04T09:08:11.6352398Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0, line 1378 <- wrt source file 2025-12-04T09:08:11.6354839Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0 2025-12-04T09:08:11.6357206Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0, line 1490 <- wrt source file 2025-12-04T09:08:11.6359607Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0 2025-12-04T09:08:11.6361844Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0, line 1863 <- wrt source file 2025-12-04T09:08:11.6364218Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0 2025-12-04T09:08:11.6366632Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0, line 2129 <- wrt source file 2025-12-04T09:08:11.6369264Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0 2025-12-04T09:08:11.6371935Z * 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 2025-12-04T09:08:11.6374683Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0 2025-12-04T09:08:11.6377395Z * 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 2025-12-04T09:08:11.6380146Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1 2025-12-04T09:08:11.6382586Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0, line 2367 <- wrt source file 2025-12-04T09:08:11.6384835Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0 2025-12-04T09:08:11.6387152Z * 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 2025-12-04T09:08:11.6389656Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/optimizer.py::Optimizer.load_state_dict:0 2025-12-04T09:08:11.6391975Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:0, line 155 <- wrt source file 2025-12-04T09:08:11.6394222Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:0 2025-12-04T09:08:11.6396441Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:1, line 181 <- wrt source file 2025-12-04T09:08:11.6398689Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:1 2025-12-04T09:08:11.6400838Z * 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 2025-12-04T09:08:11.6402980Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::update_bn:0 2025-12-04T09:08:11.6405100Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::SWALR:0, line 409 <- wrt source file 2025-12-04T09:08:11.6407187Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::SWALR:0 2025-12-04T09:08:11.6410151Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/package/glob_group.py::GlobGroup:0, line 22 <- wrt source file 2025-12-04T09:08:11.6412419Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/package/glob_group.py::GlobGroup:0 2025-12-04T09:08:11.6414940Z * 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 2025-12-04T09:08:11.6417801Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::_KinetoProfile.toggle_collection_dynamic:0 2025-12-04T09:08:11.6420248Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::profile:0, line 659 <- wrt source file 2025-12-04T09:08:11.6422513Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::profile:0 2025-12-04T09:08:11.6424891Z * 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 2025-12-04T09:08:11.6427505Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0 2025-12-04T09:08:11.6429929Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_comparison.py::assert_close:0, line 1477 <- wrt source file 2025-12-04T09:08:11.6432259Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_comparison.py::assert_close:0 2025-12-04T09:08:11.6434458Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_creation.py::make_tensor:0, line 114 <- wrt source file 2025-12-04T09:08:11.6436685Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_creation.py::make_tensor:0 2025-12-04T09:08:11.6439018Z * 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 2025-12-04T09:08:11.6441543Z * 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 2025-12-04T09:08:11.6505398Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0 2025-12-04T09:08:11.6507604Z * 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 2025-12-04T09:08:11.6509899Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0 2025-12-04T09:08:11.6512090Z * 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 2025-12-04T09:08:11.6514260Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0 2025-12-04T09:08:11.6516393Z * 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 2025-12-04T09:08:11.6518617Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0 2025-12-04T09:08:11.6520813Z * 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 2025-12-04T09:08:11.6523211Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0 2025-12-04T09:08:11.6525437Z * 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 2025-12-04T09:08:11.6527596Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_map:0 2025-12-04T09:08:11.6529818Z * 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 2025-12-04T09:08:11.6532141Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0 2025-12-04T09:08:11.6534413Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_dataclass:0, line 308 <- wrt source file 2025-12-04T09:08:11.6536789Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_dataclass:0 2025-12-04T09:08:11.6539014Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_constant:0, line 428 <- wrt source file 2025-12-04T09:08:11.6541306Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_constant:0 2025-12-04T09:08:11.6543482Z * 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 2025-12-04T09:08:11.6545631Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_is_leaf:0 2025-12-04T09:08:11.6547785Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_map:0, line 1497 <- wrt source file 2025-12-04T09:08:11.6550062Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_map:0 2025-12-04T09:08:11.6552462Z * 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 2025-12-04T09:08:11.6555192Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0 2025-12-04T09:08:11.6558016Z * 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 2025-12-04T09:08:11.6560992Z * 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 2025-12-04T09:08:11.6578805Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0, line 1257 <- wrt source file 2025-12-04T09:08:11.6581587Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0 2025-12-04T09:08:11.6584214Z * 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 2025-12-04T09:08:11.6586970Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::create_selective_checkpoint_contexts:0 2025-12-04T09:08:11.6589446Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CppExtension:0, line 1247 <- wrt source file 2025-12-04T09:08:11.6591771Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CppExtension:0 2025-12-04T09:08:11.6594162Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0, line 1319 <- wrt source file 2025-12-04T09:08:11.6596515Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0 2025-12-04T09:08:11.6598812Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1, line 1397 <- wrt source file 2025-12-04T09:08:11.6601139Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1 2025-12-04T09:08:11.6603434Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::SyclExtension:0, line 1509 <- wrt source file 2025-12-04T09:08:11.6605835Z * SKIPPED: 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2025-12-04T09:08:11.6621312Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0, line 78 <- wrt source file 2025-12-04T09:08:11.6623956Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0 2025-12-04T09:08:11.6626596Z * 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 2025-12-04T09:08:11.7057272Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0 2025-12-04T09:08:11.7059784Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::IterableDataset:0, line 94 <- wrt source file 2025-12-04T09:08:11.7065551Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::IterableDataset:0 2025-12-04T09:08:11.7068369Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::StackDataset:0, line 218 <- wrt source file 2025-12-04T09:08:11.7070862Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::StackDataset:0 2025-12-04T09:08:11.7073249Z * 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 2025-12-04T09:08:11.7075682Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::random_split:0 2025-12-04T09:08:11.7078226Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/distributed.py::DistributedSampler:0, line 55 <- wrt source file 2025-12-04T09:08:11.7080933Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/distributed.py::DistributedSampler:0 2025-12-04T09:08:11.7083589Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::Sampler:0, line 36 <- wrt source file 2025-12-04T09:08:11.7085969Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::Sampler:0 2025-12-04T09:08:11.7088438Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0, line 225 <- wrt source file 2025-12-04T09:08:11.7091126Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0 2025-12-04T09:08:11.7093656Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::BatchSampler:0, line 296 <- wrt source file 2025-12-04T09:08:11.7096084Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::BatchSampler:0 2025-12-04T09:08:11.7098580Z * 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 2025-12-04T09:08:11.7101196Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_convert:0 2025-12-04T09:08:11.7103673Z * 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 2025-12-04T09:08:11.7106150Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::collate:0 2025-12-04T09:08:11.7108644Z * 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 2025-12-04T09:08:11.7111289Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_collate:0 2025-12-04T09:08:11.7113936Z * 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 2025-12-04T09:08:11.7116633Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0 2025-12-04T09:08:11.7119282Z * 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 2025-12-04T09:08:11.7122015Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0 2025-12-04T09:08:11.7124904Z * 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 2025-12-04T09:08:11.7127941Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0 2025-12-04T09:08:11.7131022Z * 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 2025-12-04T09:08:11.7134088Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0 2025-12-04T09:08:11.7137178Z * 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 2025-12-04T09:08:11.7140379Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0 2025-12-04T09:08:11.7143455Z * 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 2025-12-04T09:08:11.7146641Z * SKIPPED: 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source file 2025-12-04T09:08:11.7165018Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::DemultiplexerIterDataPipe:0 2025-12-04T09:08:11.7168174Z * 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 2025-12-04T09:08:11.7171341Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0 2025-12-04T09:08:11.7174395Z * 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 2025-12-04T09:08:11.7177505Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0 2025-12-04T09:08:11.7180585Z * 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 2025-12-04T09:08:11.7183759Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0 2025-12-04T09:08:11.7186853Z * 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 2025-12-04T09:08:11.7190022Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0 2025-12-04T09:08:11.7193025Z * 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 2025-12-04T09:08:11.7196200Z * SKIPPED: 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source file 2025-12-04T09:08:11.7214613Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0 2025-12-04T09:08:11.7217712Z * 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 2025-12-04T09:08:11.7220977Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0 2025-12-04T09:08:11.7224105Z * 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 2025-12-04T09:08:11.7227258Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0 2025-12-04T09:08:11.7230243Z * 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 2025-12-04T09:08:11.7233220Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0 2025-12-04T09:08:11.7236228Z * 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 2025-12-04T09:08:11.7239422Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0 2025-12-04T09:08:11.7242467Z * 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 2025-12-04T09:08:11.7245602Z * SKIPPED: 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file 2025-12-04T09:08:11.7263945Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0 2025-12-04T09:08:11.7266891Z * 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 2025-12-04T09:08:11.7269832Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0 2025-12-04T09:08:11.7272694Z * 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 2025-12-04T09:08:11.7275652Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0 2025-12-04T09:08:11.7278396Z * 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 2025-12-04T09:08:12.3433771Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0 2025-12-04T09:08:12.3435702Z * 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 2025-12-04T09:08:12.3437489Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0 2025-12-04T09:08:12.3439173Z * 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 2025-12-04T09:08:12.3440869Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0 2025-12-04T09:08:12.3442387Z * 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 2025-12-04T09:08:12.3443884Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0 2025-12-04T09:08:12.3445430Z * 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 2025-12-04T09:08:12.3446951Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0 2025-12-04T09:08:12.3448441Z * 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 2025-12-04T09:08:12.3450263Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0 2025-12-04T09:08:12.3451814Z * 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 2025-12-04T09:08:12.3453359Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0 2025-12-04T09:08:12.3455522Z * 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 2025-12-04T09:08:12.3457964Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0 2025-12-04T09:08:12.3460561Z * 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 2025-12-04T09:08:12.3463343Z * SKIPPED: 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2025-12-04T09:08:12.3474380Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0 2025-12-04T09:08:12.3476035Z * 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 2025-12-04T09:08:12.3477804Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0 2025-12-04T09:08:12.3479598Z * 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 2025-12-04T09:08:12.3481109Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0 2025-12-04T09:08:12.3482702Z * 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 2025-12-04T09:08:12.3484495Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0 2025-12-04T09:08:12.3486179Z * 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 2025-12-04T09:08:12.3487868Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0 2025-12-04T09:08:12.3489480Z * 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 2025-12-04T09:08:12.3491051Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0 2025-12-04T09:08:12.3492527Z * 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 2025-12-04T09:08:12.3493993Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0 2025-12-04T09:08:12.3494756Z ============ 2025-12-04T09:08:12.3495029Z Finished doctests 2025-12-04T09:08:12.3495251Z 378 / 894 passed 2025-12-04T09:08:12.3495504Z  2025-12-04T09:08:12.3495803Z === Found 17 parse-time warnings === 2025-12-04T09:08:12.3496214Z --- Parse Warning: 1 / 17 --- 2025-12-04T09:08:12.3497426Z /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. 2025-12-04T09:08:12.3498669Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:12.3499281Z Registers the function implementation as the fallback for the given key. 2025-12-04T09:08:12.3499713Z 2025-12-04T09:08:12.3500048Z This function only works for a library with global namespace ("_"). 2025-12-04T09:08:12.3500468Z 2025-12-04T09:08:12.3500653Z Args: 2025-12-04T09:08:12.3501071Z fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel` 2025-12-04T09:08:12.3501668Z to register a fallthrough. 2025-12-04T09:08:12.3502208Z dispatch_key: dispatch key that the input function should be registered for. By default, it uses 2025-12-04T09:08:12.3502821Z the dispatch key that the library was created with. 2025-12-04T09:08:12.3503482Z with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument 2025-12-04T09:08:12.3504298Z to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls. 2025-12-04T09:08:12.3504815Z 2025-12-04T09:08:12.3505025Z Example:: 2025-12-04T09:08:12.3505264Z 2025-12-04T09:08:12.3505476Z >>> my_lib = Library("_", "IMPL") 2025-12-04T09:08:12.3505840Z >>> def fallback_kernel(op, *args, **kwargs): 2025-12-04T09:08:12.3506223Z >>> # Handle all autocast ops generically 2025-12-04T09:08:12.3506567Z >>> # ... 2025-12-04T09:08:12.3506877Z >>> my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T09:08:12.3507225Z 2025-12-04T09:08:12.3508003Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7)) 2025-12-04T09:08:12.3508822Z 2025-12-04T09:08:12.3509070Z my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T09:08:12.3509402Z ^ 2025-12-04T09:08:12.3509602Z warnings.warn(msg) 2025-12-04T09:08:12.3509852Z 2025-12-04T09:08:12.3510167Z --- Parse Warning: 2 / 17 --- 2025-12-04T09:08:12.3511243Z /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. 2025-12-04T09:08:12.3512449Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:12.3513061Z Register a FakeTensor implementation ("fake impl") for this operator. 2025-12-04T09:08:12.3513498Z 2025-12-04T09:08:12.3513784Z Also sometimes known as a "meta kernel", "abstract impl". 2025-12-04T09:08:12.3514164Z 2025-12-04T09:08:12.3514519Z An "FakeTensor implementation" specifies the behavior of this operator on 2025-12-04T09:08:12.3515097Z Tensors that carry no data ("FakeTensor"). Given some input Tensors with 2025-12-04T09:08:12.3515675Z certain properties (sizes/strides/storage_offset/device), it specifies 2025-12-04T09:08:12.3516176Z what the properties of the output Tensors are. 2025-12-04T09:08:12.3516511Z 2025-12-04T09:08:12.3516843Z The FakeTensor implementation has the same signature as the operator. 2025-12-04T09:08:12.3517404Z It is run for both FakeTensors and meta tensors. To write a FakeTensor 2025-12-04T09:08:12.3517951Z implementation, assume that all Tensor inputs to the operator are 2025-12-04T09:08:12.3518487Z regular CPU/CUDA/Meta tensors, but they do not have storage, and 2025-12-04T09:08:12.3519012Z you are trying to return regular CPU/CUDA/Meta tensor(s) as output. 2025-12-04T09:08:12.3519649Z The FakeTensor implementation must consist of only PyTorch operations 2025-12-04T09:08:12.3520201Z (and may not directly access the storage or data of any input or 2025-12-04T09:08:12.3520604Z intermediate Tensors). 2025-12-04T09:08:12.3520872Z 2025-12-04T09:08:12.3521137Z This API may be used as a decorator (see examples). 2025-12-04T09:08:12.3521474Z 2025-12-04T09:08:12.3521727Z For a detailed guide on custom ops, please see 2025-12-04T09:08:12.3522223Z https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html 2025-12-04T09:08:12.3522642Z 2025-12-04T09:08:12.3522836Z Args: 2025-12-04T09:08:12.3523188Z op_name: Operator name (along with the overload) or OpOverload object. 2025-12-04T09:08:12.3523745Z func: Fake tensor implementation. 2025-12-04T09:08:12.3524252Z lib (Optional[Library]): Library to register the fake tensor to. 2025-12-04T09:08:12.3524762Z allow_override: Flag controlling if we want to override an 2025-12-04T09:08:12.3525242Z existing registered fake impl. This is by default off, 2025-12-04T09:08:12.3525700Z and will error you're trying to register a fake impl to 2025-12-04T09:08:12.3526262Z an operator that already has a fake impl. This also only 2025-12-04T09:08:12.3526735Z applies if the custom operator was not created via 2025-12-04T09:08:12.3527203Z torch.library.custom_op, as overriding and existing fake 2025-12-04T09:08:12.3527618Z impl is already allowed. 2025-12-04T09:08:12.3527930Z 2025-12-04T09:08:12.3528133Z Examples: 2025-12-04T09:08:12.3528356Z >>> import torch 2025-12-04T09:08:12.3528635Z >>> import numpy as np 2025-12-04T09:08:12.3528938Z >>> from torch import Tensor 2025-12-04T09:08:12.3529225Z >>> 2025-12-04T09:08:12.3529552Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T09:08:12.3530083Z >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=()) 2025-12-04T09:08:12.3530636Z >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T09:08:12.3531149Z >>> raise NotImplementedError("Implementation goes here") 2025-12-04T09:08:12.3531535Z >>> 2025-12-04T09:08:12.3531837Z >>> @torch.library.register_fake("mylib::custom_linear") 2025-12-04T09:08:12.3532212Z >>> def _(x, weight, bias): 2025-12-04T09:08:12.3532522Z >>> assert x.dim() == 2 2025-12-04T09:08:12.3532838Z >>> assert weight.dim() == 2 2025-12-04T09:08:12.3533154Z >>> assert bias.dim() == 1 2025-12-04T09:08:12.3533491Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T09:08:12.3533868Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T09:08:12.3534237Z >>> assert x.device == weight.device 2025-12-04T09:08:12.3534542Z >>> 2025-12-04T09:08:12.3534789Z >>> return (x @ weight.t()) + bias 2025-12-04T09:08:12.3535099Z >>> 2025-12-04T09:08:12.3535389Z >>> with torch._subclasses.fake_tensor.FakeTensorMode(): 2025-12-04T09:08:12.3535782Z >>> x = torch.randn(2, 3) 2025-12-04T09:08:12.3536100Z >>> w = torch.randn(3, 3) 2025-12-04T09:08:12.3536425Z >>> b = torch.randn(3) 2025-12-04T09:08:12.3536759Z >>> y = torch.ops.mylib.custom_linear(x, w, b) 2025-12-04T09:08:12.3537102Z >>> 2025-12-04T09:08:12.3537346Z >>> assert y.shape == (2, 3) 2025-12-04T09:08:12.3537636Z >>> 2025-12-04T09:08:12.3537944Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T09:08:12.3538554Z >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=()) 2025-12-04T09:08:12.3539032Z >>> def custom_nonzero(x: Tensor) -> Tensor: 2025-12-04T09:08:12.3539380Z >>> x_np = x.numpy(force=True) 2025-12-04T09:08:12.3539743Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T09:08:12.3540130Z >>> return torch.tensor(res, device=x.device) 2025-12-04T09:08:12.3540459Z >>> 2025-12-04T09:08:12.3540769Z >>> @torch.library.register_fake("mylib::custom_nonzero") 2025-12-04T09:08:12.3541154Z >>> def _(x): 2025-12-04T09:08:12.3541464Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T09:08:12.3541886Z >>> # Since we cannot peek at the data in an fake impl, 2025-12-04T09:08:12.3542375Z >>> # we use the ctx object to construct a new symint that 2025-12-04T09:08:12.3542782Z >>> # represents the data-dependent size. 2025-12-04T09:08:12.3543130Z >>> ctx = torch.library.get_ctx() 2025-12-04T09:08:12.3543483Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T09:08:12.3543814Z >>> shape = [nnz, x.dim()] 2025-12-04T09:08:12.3544164Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T09:08:12.3544532Z >>> return result 2025-12-04T09:08:12.3544804Z >>> 2025-12-04T09:08:12.3545107Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2025-12-04T09:08:12.3545484Z >>> 2025-12-04T09:08:12.3545732Z >>> x = torch.tensor([0, 1, 2, 3, 4, 0]) 2025-12-04T09:08:12.3546199Z >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x) 2025-12-04T09:08:12.3546665Z >>> trace.print_readable() 2025-12-04T09:08:12.3546963Z >>> 2025-12-04T09:08:12.3547314Z >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x)) 2025-12-04T09:08:12.3547728Z 2025-12-04T09:08:12.3547922Z 2025-12-04T09:08:12.3548579Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('', 38, 1, '_._ = None\n', 38, 2)) 2025-12-04T09:08:12.3549471Z 2025-12-04T09:08:12.3549670Z _._ = None 2025-12-04T09:08:12.3549886Z ^ 2025-12-04T09:08:12.3550086Z warnings.warn(msg) 2025-12-04T09:08:12.3550336Z 2025-12-04T09:08:12.3550682Z --- Parse Warning: 3 / 17 --- 2025-12-04T09:08:12.3551760Z /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. 2025-12-04T09:08:12.3552947Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:12.3553540Z Returns the computed kernel for a given operator and dispatch key. 2025-12-04T09:08:12.3553951Z 2025-12-04T09:08:12.3554274Z This function retrieves the kernel that would be executed for a given 2025-12-04T09:08:12.3554861Z operator and dispatch key combination. The returned SafeKernelFunction 2025-12-04T09:08:12.3555410Z can be used to call the kernel in a boxed fashion. The intended use 2025-12-04T09:08:12.3555967Z case for this function is to retrieve the original kernel for a given 2025-12-04T09:08:12.3556558Z dispatch key and then register another kernel to the same dispatch key 2025-12-04T09:08:12.3557066Z that calls into the original kernel for certain cases. 2025-12-04T09:08:12.3557427Z 2025-12-04T09:08:12.3557612Z Args: 2025-12-04T09:08:12.3557945Z op: Operator name (along with the overload) or OpOverload object 2025-12-04T09:08:12.3558506Z Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef. 2025-12-04T09:08:12.3559121Z dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for. 2025-12-04T09:08:12.3559902Z Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value. 2025-12-04T09:08:12.3560308Z 2025-12-04T09:08:12.3560510Z Returns: 2025-12-04T09:08:12.3560880Z torch._C._SafeKernelFunction: A safe kernel function that can be used to 2025-12-04T09:08:12.3561347Z call the kernel. 2025-12-04T09:08:12.3561620Z 2025-12-04T09:08:12.3561805Z Raises: 2025-12-04T09:08:12.3562085Z RuntimeError: If the operator does not exist. 2025-12-04T09:08:12.3562426Z 2025-12-04T09:08:12.3562610Z Example: 2025-12-04T09:08:12.3562865Z >>> # Get the CPU kernel for torch.add 2025-12-04T09:08:12.3563297Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU") 2025-12-04T09:08:12.3563692Z >>> 2025-12-04T09:08:12.3564105Z >>> # You can also use DispatchKey enum 2025-12-04T09:08:12.3564603Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU) 2025-12-04T09:08:12.3565067Z >>> 2025-12-04T09:08:12.3565304Z >>> # Or use an OpOverload directly 2025-12-04T09:08:12.3565758Z >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU") 2025-12-04T09:08:12.3566189Z >>> 2025-12-04T09:08:12.3566523Z >>> # Example: Using get_kernel in a custom op with conditional dispatch 2025-12-04T09:08:12.3566987Z >>> # Get the original kernel for torch.sin 2025-12-04T09:08:12.3567443Z >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU") 2025-12-04T09:08:12.3567861Z >>> 2025-12-04T09:08:12.3568209Z >>> # If input has negative values, use original sin, otherwise return zeros 2025-12-04T09:08:12.3568699Z >>> def conditional_sin_impl(dispatch_keys, x): 2025-12-04T09:08:12.3569059Z >>> if (x < 0).any(): 2025-12-04T09:08:12.3569431Z >>> return original_sin_kernel.call_boxed(dispatch_keys, x) 2025-12-04T09:08:12.3569823Z >>> else: 2025-12-04T09:08:12.3570107Z >>> return torch.zeros_like(x) 2025-12-04T09:08:12.3570425Z >>> 2025-12-04T09:08:12.3570682Z >>> lib = torch.library.Library("aten", "IMPL") 2025-12-04T09:08:12.3571201Z >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet 2025-12-04T09:08:12.3571769Z >>> which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T09:08:12.3572255Z >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True) 2025-12-04T09:08:12.3572656Z >>> 2025-12-04T09:08:12.3572899Z >>> # Test the conditional behavior 2025-12-04T09:08:12.3573238Z >>> x_positive = torch.tensor([1.0, 2.0]) 2025-12-04T09:08:12.3573597Z >>> x_mixed = torch.tensor([-1.0, 2.0]) 2025-12-04T09:08:12.3573933Z >>> torch.sin(x_positive) 2025-12-04T09:08:12.3574235Z tensor([0., 0.]) 2025-12-04T09:08:12.3574498Z >>> torch.sin(x_mixed) 2025-12-04T09:08:12.3574805Z tensor([-0.8415, 0.9093]) 2025-12-04T09:08:12.3575093Z 2025-12-04T09:08:12.3575690Z Original Error: SyntaxError('invalid syntax', ('', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12)) 2025-12-04T09:08:12.3576379Z 2025-12-04T09:08:12.3576680Z which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T09:08:12.3577052Z ^ 2025-12-04T09:08:12.3577277Z warnings.warn(msg) 2025-12-04T09:08:12.3577532Z 2025-12-04T09:08:12.3577857Z --- Parse Warning: 4 / 17 --- 2025-12-04T09:08:12.3579000Z /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. 2025-12-04T09:08:12.3580293Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:12.3581016Z Check if the current accelerator is available at runtime: it was build, all the 2025-12-04T09:08:12.3581600Z required drivers are available and at least one device is visible. 2025-12-04T09:08:12.3582090Z See :ref:`accelerator` for details. 2025-12-04T09:08:12.3582439Z 2025-12-04T09:08:12.3582626Z Returns: 2025-12-04T09:08:12.3583043Z bool: A boolean indicating if there is an available :ref:`accelerator`. 2025-12-04T09:08:12.3583524Z 2025-12-04T09:08:12.3583878Z .. note:: This API delegates to the device-specific version of `is_available`. 2025-12-04T09:08:12.3584490Z On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set, 2025-12-04T09:08:12.3585187Z this function will NOT poison fork. Otherwise, it will. For more details, see 2025-12-04T09:08:12.3585703Z :ref:`multiprocessing-poison-fork-note`. 2025-12-04T09:08:12.3586033Z 2025-12-04T09:08:12.3586232Z Example:: 2025-12-04T09:08:12.3586458Z 2025-12-04T09:08:12.3586838Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:08:12.3587300Z 2025-12-04T09:08:12.3587982Z Original Error: SyntaxError('invalid syntax', ('', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78)) 2025-12-04T09:08:12.3588738Z 2025-12-04T09:08:12.3589097Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:08:12.3589581Z ^ 2025-12-04T09:08:12.3589887Z warnings.warn(msg) 2025-12-04T09:08:12.3590122Z 2025-12-04T09:08:12.3590418Z --- Parse Warning: 5 / 17 --- 2025-12-04T09:08:12.3591564Z /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. 2025-12-04T09:08:12.3592834Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:12.3593399Z Wait for all kernels in all streams on the given device to complete. 2025-12-04T09:08:12.3593807Z 2025-12-04T09:08:12.3594004Z Args: 2025-12-04T09:08:12.3594439Z device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match 2025-12-04T09:08:12.3595109Z the current :ref:`accelerator` device type. If not given, 2025-12-04T09:08:12.3595655Z use :func:`torch.accelerator.current_device_index` by default. 2025-12-04T09:08:12.3609712Z 2025-12-04T09:08:12.3610312Z .. note:: This function is a no-op if the current :ref:`accelerator` is not initialized. 2025-12-04T09:08:12.3610855Z 2025-12-04T09:08:12.3611065Z Example:: 2025-12-04T09:08:12.3611279Z 2025-12-04T09:08:12.3611549Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-12-04T09:08:12.3612067Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:08:12.3612606Z >>> start_event = torch.Event(enable_timing=True) 2025-12-04T09:08:12.3613007Z >>> end_event = torch.Event(enable_timing=True) 2025-12-04T09:08:12.3613352Z >>> start_event.record() 2025-12-04T09:08:12.3613802Z >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator()) 2025-12-04T09:08:12.3614273Z >>> sum = torch.sum(tensor) 2025-12-04T09:08:12.3614575Z >>> end_event.record() 2025-12-04T09:08:12.3614903Z >>> torch.accelerator.synchronize() 2025-12-04T09:08:12.3615312Z >>> elapsed_time_ms = start_event.elapsed_time(end_event) 2025-12-04T09:08:12.3615690Z 2025-12-04T09:08:12.3616723Z Original Error: SyntaxError('invalid syntax', ('', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78)) 2025-12-04T09:08:12.3617494Z 2025-12-04T09:08:12.3617870Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T09:08:12.3618340Z ^ 2025-12-04T09:08:12.3618673Z warnings.warn(msg) 2025-12-04T09:08:12.3619016Z 2025-12-04T09:08:12.3619490Z --- Parse Warning: 6 / 17 --- 2025-12-04T09:08:12.3620748Z /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. 2025-12-04T09:08:12.3621962Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:12.3622549Z Retrieves the CUDA runtime API module. 2025-12-04T09:08:12.3622847Z 2025-12-04T09:08:12.3623043Z 2025-12-04T09:08:12.3623410Z This function initializes the CUDA runtime environment if it is not already 2025-12-04T09:08:12.3624009Z initialized and returns the CUDA runtime API module (_cudart). The CUDA 2025-12-04T09:08:12.3624582Z runtime API module provides access to various CUDA runtime functions. 2025-12-04T09:08:12.3625007Z 2025-12-04T09:08:12.3625199Z Args: 2025-12-04T09:08:12.3625400Z ``None`` 2025-12-04T09:08:12.3625625Z 2025-12-04T09:08:12.3625818Z Returns: 2025-12-04T09:08:12.3626085Z module: The CUDA runtime API module (_cudart). 2025-12-04T09:08:12.3626423Z 2025-12-04T09:08:12.3626617Z Raises: 2025-12-04T09:08:12.3626972Z RuntimeError: If CUDA cannot be re-initialized in a forked subprocess. 2025-12-04T09:08:12.3627690Z AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable. 2025-12-04T09:08:12.3628258Z 2025-12-04T09:08:12.3628490Z Example of CUDA operations with profiling: 2025-12-04T09:08:12.3628837Z >>> import torch 2025-12-04T09:08:12.3629159Z >>> from torch.cuda import cudart, check_error 2025-12-04T09:08:12.3629491Z >>> import os 2025-12-04T09:08:12.3629744Z >>> 2025-12-04T09:08:12.3629993Z >>> os.environ["CUDA_PROFILE"] = "1" 2025-12-04T09:08:12.3630304Z >>> 2025-12-04T09:08:12.3630560Z >>> def perform_cuda_operations_with_streams(): 2025-12-04T09:08:12.3630931Z >>> stream = torch.cuda.Stream() 2025-12-04T09:08:12.3631278Z >>> with torch.cuda.stream(stream): 2025-12-04T09:08:12.3631630Z >>> x = torch.randn(100, 100, device='cuda') 2025-12-04T09:08:12.3632003Z >>> y = torch.randn(100, 100, device='cuda') 2025-12-04T09:08:12.3632355Z >>> z = torch.mul(x, y) 2025-12-04T09:08:12.3632652Z >>> return z 2025-12-04T09:08:12.3632909Z >>> 2025-12-04T09:08:12.3633158Z >>> torch.cuda.synchronize() 2025-12-04T09:08:12.3633504Z >>> print("====== Start nsys profiling ======") 2025-12-04T09:08:12.3633891Z >>> check_error(cudart().cudaProfilerStart()) 2025-12-04T09:08:12.3634284Z >>> with torch.autograd.profiler.emit_nvtx(): 2025-12-04T09:08:12.3634694Z >>> result = perform_cuda_operations_with_streams() 2025-12-04T09:08:12.3635079Z >>> print("CUDA operations completed.") 2025-12-04T09:08:12.3635490Z >>> check_error(torch.cuda.cudart().cudaProfilerStop()) 2025-12-04T09:08:12.3635899Z >>> print("====== End nsys profiling ======") 2025-12-04T09:08:12.3636211Z 2025-12-04T09:08:12.3636525Z To run this example and save the profiling information, execute: 2025-12-04T09:08:12.3637207Z >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T09:08:12.3637771Z 2025-12-04T09:08:12.3638118Z This command profiles the CUDA operations in the provided script and saves 2025-12-04T09:08:12.3638752Z the profiling information to a file named `trace_name.prof`. 2025-12-04T09:08:12.3639305Z The `--profile-from-start off` option ensures that profiling starts only 2025-12-04T09:08:12.3639801Z after the `cudaProfilerStart` call in the script. 2025-12-04T09:08:12.3640289Z The `--csv` and `--print-summary` options format the profiling output as a 2025-12-04T09:08:12.3640772Z CSV file and print a summary, respectively. 2025-12-04T09:08:12.3641268Z The `-o` option specifies the output file name, and the `-f` option forces the 2025-12-04T09:08:12.3641781Z overwrite of the output file if it already exists. 2025-12-04T09:08:12.3642136Z 2025-12-04T09:08:12.3642909Z 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)) 2025-12-04T09:08:12.3643804Z 2025-12-04T09:08:12.3644379Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T09:08:12.3644939Z ^ 2025-12-04T09:08:12.3645138Z warnings.warn(msg) 2025-12-04T09:08:12.3645389Z 2025-12-04T09:08:12.3645724Z --- Parse Warning: 7 / 17 --- 2025-12-04T09:08:12.3646805Z /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. 2025-12-04T09:08:12.3647991Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:12.3648441Z 2025-12-04T09:08:12.3648777Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that 2025-12-04T09:08:12.3649510Z maps ``func`` over some dimension of the inputs. Semantically, vmap 2025-12-04T09:08:12.3650058Z pushes the map into PyTorch operations called by ``func``, effectively 2025-12-04T09:08:12.3650514Z vectorizing those operations. 2025-12-04T09:08:12.3650804Z 2025-12-04T09:08:12.3651121Z vmap is useful for handling batch dimensions: one can write a function 2025-12-04T09:08:12.3651655Z ``func`` that runs on examples and then lift it to a function that can 2025-12-04T09:08:12.3652270Z take batches of examples with ``vmap(func)``. vmap can also be used to 2025-12-04T09:08:12.3652758Z compute batched gradients when composed with autograd. 2025-12-04T09:08:12.3653123Z 2025-12-04T09:08:12.3653328Z .. note:: 2025-12-04T09:08:12.3653635Z :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for 2025-12-04T09:08:12.3654068Z convenience. Use whichever one you'd like. 2025-12-04T09:08:12.3654393Z 2025-12-04T09:08:12.3654596Z Args: 2025-12-04T09:08:12.3654918Z func (function): A Python function that takes one or more arguments. 2025-12-04T09:08:12.3655365Z Must return one or more Tensors. 2025-12-04T09:08:12.3655793Z in_dims (int or nested structure): Specifies which dimension of the 2025-12-04T09:08:12.3656275Z inputs should be mapped over. ``in_dims`` should have a 2025-12-04T09:08:12.3656757Z structure like the inputs. If the ``in_dim`` for a particular 2025-12-04T09:08:12.3657257Z input is None, then that indicates there is no map dimension. 2025-12-04T09:08:12.3657641Z Default: 0. 2025-12-04T09:08:12.3657994Z out_dims (int or Tuple[int]): Specifies where the mapped dimension 2025-12-04T09:08:12.3658507Z should appear in the outputs. If ``out_dims`` is a Tuple, then 2025-12-04T09:08:12.3658975Z it should have one element per output. Default: 0. 2025-12-04T09:08:12.3659417Z randomness (str): Specifies whether the randomness in this 2025-12-04T09:08:12.3659931Z vmap should be the same or different across batches. If 'different', 2025-12-04T09:08:12.3660464Z the randomness for each batch will be different. If 'same', the 2025-12-04T09:08:12.3661130Z randomness will be the same across batches. If 'error', any calls to 2025-12-04T09:08:12.3661678Z random functions will error. Default: 'error'. WARNING: this flag 2025-12-04T09:08:12.3662209Z only applies to random PyTorch operations and does not apply to 2025-12-04T09:08:12.3662672Z Python's random module or numpy randomness. 2025-12-04T09:08:12.3663137Z chunk_size (None or int): If None (default), apply a single vmap over inputs. 2025-12-04T09:08:12.3663712Z If not None, then compute the vmap :attr:`chunk_size` samples at a time. 2025-12-04T09:08:12.3664317Z Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop. 2025-12-04T09:08:12.3665048Z If you run into memory issues computing the vmap, please try a non-None chunk_size. 2025-12-04T09:08:12.3665510Z 2025-12-04T09:08:12.3665713Z Returns: 2025-12-04T09:08:12.3666033Z Returns a new "batched" function. It takes the same inputs as 2025-12-04T09:08:12.3666508Z ``func``, except each input has an extra dimension at the index 2025-12-04T09:08:12.3667000Z specified by ``in_dims``. It takes returns the same outputs as 2025-12-04T09:08:12.3667488Z ``func``, except each output has an extra dimension at the index 2025-12-04T09:08:12.3667886Z specified by ``out_dims``. 2025-12-04T09:08:12.3668167Z 2025-12-04T09:08:12.3668361Z .. warning: 2025-12-04T09:08:12.3668681Z :func:`vmap` works best with functional-style code. Please do not 2025-12-04T09:08:12.3669183Z perform any side-effects in ``func``, with the exception of 2025-12-04T09:08:12.3669729Z in-place PyTorch operations. Examples of side-effects include mutating 2025-12-04T09:08:12.3670318Z Python data structures and assigning values to variables not captured 2025-12-04T09:08:12.3670740Z in ``func``. 2025-12-04T09:08:12.3670978Z 2025-12-04T09:08:12.3671333Z One example of using :func:`vmap` is to compute batched dot products. PyTorch 2025-12-04T09:08:12.3671897Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully 2025-12-04T09:08:12.3672456Z rummaging through docs, use :func:`vmap` to construct a new function. 2025-12-04T09:08:12.3672872Z 2025-12-04T09:08:12.3673077Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:08:12.3673492Z >>> batched_dot = torch.func.vmap(torch.dot) # [N, D], [N, D] -> [N] 2025-12-04T09:08:12.3673942Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T09:08:12.3674282Z >>> batched_dot(x, y) 2025-12-04T09:08:12.3674531Z 2025-12-04T09:08:12.3674871Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler 2025-12-04T09:08:12.3675333Z model authoring experience. 2025-12-04T09:08:12.3675608Z 2025-12-04T09:08:12.3675833Z >>> batch_size, feature_size = 3, 5 2025-12-04T09:08:12.3676220Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T09:08:12.3676596Z >>> 2025-12-04T09:08:12.3676819Z >>> def model(feature_vec): 2025-12-04T09:08:12.3677138Z >>> # Very simple linear model with activation 2025-12-04T09:08:12.3677510Z >>> return feature_vec.dot(weights).relu() 2025-12-04T09:08:12.3677829Z >>> 2025-12-04T09:08:12.3678086Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T09:08:12.3678469Z >>> result = torch.vmap(model)(examples) 2025-12-04T09:08:12.3678782Z 2025-12-04T09:08:12.3679131Z :func:`vmap` can also help vectorize computations that were previously difficult 2025-12-04T09:08:12.3679743Z or impossible to batch. One example is higher-order gradient computation. 2025-12-04T09:08:12.3680334Z The PyTorch autograd engine computes vjps (vector-Jacobian products). 2025-12-04T09:08:12.3680913Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually 2025-12-04T09:08:12.3681572Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`, 2025-12-04T09:08:12.3682186Z we can vectorize the whole computation, computing the Jacobian in a single 2025-12-04T09:08:12.3682651Z call to ``autograd.grad``. 2025-12-04T09:08:12.3682907Z 2025-12-04T09:08:12.3683107Z >>> # Setup 2025-12-04T09:08:12.3683333Z >>> N = 5 2025-12-04T09:08:12.3683556Z >>> f = lambda x: x**2 2025-12-04T09:08:12.3683860Z >>> x = torch.randn(N, requires_grad=True) 2025-12-04T09:08:12.3684286Z >>> y = f(x) 2025-12-04T09:08:12.3684534Z >>> I_N = torch.eye(N) 2025-12-04T09:08:12.3684788Z >>> 2025-12-04T09:08:12.3685018Z >>> # Sequential approach 2025-12-04T09:08:12.3685439Z >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0] 2025-12-04T09:08:12.3685989Z >>> for v in I_N.unbind()] 2025-12-04T09:08:12.3686348Z >>> jacobian = torch.stack(jacobian_rows) 2025-12-04T09:08:12.3686671Z >>> 2025-12-04T09:08:12.3686906Z >>> # vectorized gradient computation 2025-12-04T09:08:12.3687235Z >>> def get_vjp(v): 2025-12-04T09:08:12.3687535Z >>> return torch.autograd.grad(y, x, v) 2025-12-04T09:08:12.3687884Z >>> jacobian = torch.vmap(get_vjp)(I_N) 2025-12-04T09:08:12.3688197Z 2025-12-04T09:08:12.3688576Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions 2025-12-04T09:08:12.3689054Z 2025-12-04T09:08:12.3689260Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:08:12.3689577Z >>> batched_dot = torch.vmap( 2025-12-04T09:08:12.3689891Z ... torch.vmap(torch.dot) 2025-12-04T09:08:12.3690201Z ... ) # [N1, N0, D], [N1, N0, D] -> [N1, N0] 2025-12-04T09:08:12.3690572Z >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5) 2025-12-04T09:08:12.3690959Z >>> batched_dot(x, y) # tensor of size [2, 3] 2025-12-04T09:08:12.3691264Z 2025-12-04T09:08:12.3691621Z If the inputs are not batched along the first dimension, ``in_dims`` specifies 2025-12-04T09:08:12.3692138Z the dimension that each inputs are batched along as 2025-12-04T09:08:12.3692476Z 2025-12-04T09:08:12.3692690Z >>> torch.dot # [N], [N] -> [] 2025-12-04T09:08:12.3693117Z >>> batched_dot = torch.vmap(torch.dot, in_dims=1) # [N, D], [N, D] -> [D] 2025-12-04T09:08:12.3693586Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T09:08:12.3693905Z >>> batched_dot( 2025-12-04T09:08:12.3694154Z ... x, y 2025-12-04T09:08:12.3694488Z ... ) # output is [5] instead of [2] if batched along the 0th dimension 2025-12-04T09:08:12.3694865Z 2025-12-04T09:08:12.3695237Z If there are multiple inputs each of which is batched along different dimensions, 2025-12-04T09:08:12.3695821Z ``in_dims`` must be a tuple with the batch dimension for each input as 2025-12-04T09:08:12.3696209Z 2025-12-04T09:08:12.3696425Z >>> torch.dot # [D], [D] -> [] 2025-12-04T09:08:12.3696873Z >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None)) # [N, D], [D] -> [N] 2025-12-04T09:08:12.3697356Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T09:08:12.3697672Z >>> batched_dot( 2025-12-04T09:08:12.3697920Z ... x, y 2025-12-04T09:08:12.3698263Z ... ) # second arg doesn't have a batch dim because in_dim[1] was None 2025-12-04T09:08:12.3698650Z 2025-12-04T09:08:12.3698997Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct 2025-12-04T09:08:12.3699464Z matching the shape of the input: 2025-12-04T09:08:12.3699743Z 2025-12-04T09:08:12.3699992Z >>> f = lambda dict: torch.dot(dict["x"], dict["y"]) 2025-12-04T09:08:12.3700368Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T09:08:12.3700691Z >>> input = {"x": x, "y": y} 2025-12-04T09:08:12.3701068Z >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},)) 2025-12-04T09:08:12.3701546Z >>> batched_dot(input) 2025-12-04T09:08:12.3701820Z 2025-12-04T09:08:12.3702200Z By default, the output is batched along the first dimension. However, it can be batched 2025-12-04T09:08:12.3702728Z along any dimension by using ``out_dims`` 2025-12-04T09:08:12.3703048Z 2025-12-04T09:08:12.3703248Z >>> f = lambda x: x**2 2025-12-04T09:08:12.3703535Z >>> x = torch.randn(2, 5) 2025-12-04T09:08:12.3703858Z >>> batched_pow = torch.vmap(f, out_dims=1) 2025-12-04T09:08:12.3704189Z >>> batched_pow(x) # [5, 2] 2025-12-04T09:08:12.3704470Z 2025-12-04T09:08:12.3704870Z For any function that uses kwargs, the returned function will not batch the kwargs but will 2025-12-04T09:08:12.3705360Z accept kwargs 2025-12-04T09:08:12.3705638Z 2025-12-04T09:08:12.3705848Z >>> x = torch.randn([2, 5]) 2025-12-04T09:08:12.3706147Z >>> def fn(x, scale=4.): 2025-12-04T09:08:12.3706419Z >>> return x * scale 2025-12-04T09:08:12.3706685Z >>> 2025-12-04T09:08:12.3706922Z >>> batched_pow = torch.vmap(fn) 2025-12-04T09:08:12.3707270Z >>> assert torch.allclose(batched_pow(x), x * 4) 2025-12-04T09:08:12.3707751Z >>> batched_pow(x, scale=x) # scale is not batched, output has shape [2, 2, 5] 2025-12-04T09:08:12.3708183Z 2025-12-04T09:08:12.3708373Z .. note:: 2025-12-04T09:08:12.3708729Z vmap does not provide general autobatching or handle variable-length 2025-12-04T09:08:12.3709172Z sequences out of the box. 2025-12-04T09:08:12.3709440Z 2025-12-04T09:08:12.3710081Z Original Error: IndentationError('expected an indented block after function definition on line 4', ('', 5, 1, '_._ = None\n', 5, 2)) 2025-12-04T09:08:12.3710802Z 2025-12-04T09:08:12.3710998Z _._ = None 2025-12-04T09:08:12.3711195Z ^ 2025-12-04T09:08:12.3711402Z warnings.warn(msg) 2025-12-04T09:08:12.3711652Z 2025-12-04T09:08:12.3711973Z --- Parse Warning: 8 / 17 --- 2025-12-04T09:08:12.3713051Z /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. 2025-12-04T09:08:12.3714257Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:12.3714841Z ``grad`` operator helps computing gradients of ``func`` with respect to the 2025-12-04T09:08:12.3715397Z input(s) specified by ``argnums``. This operator can be nested to 2025-12-04T09:08:12.3715834Z compute higher-order gradients. 2025-12-04T09:08:12.3716142Z 2025-12-04T09:08:12.3716333Z Args: 2025-12-04T09:08:12.3716679Z func (Callable): A Python function that takes one or more arguments. 2025-12-04T09:08:12.3717278Z Must return a single-element Tensor. If specified ``has_aux`` equals ``True``, 2025-12-04T09:08:12.3717915Z function can return a tuple of single-element Tensor and other auxiliary objects: 2025-12-04T09:08:12.3718404Z ``(output, aux)``. 2025-12-04T09:08:12.3718874Z argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to. 2025-12-04T09:08:12.3719476Z ``argnums`` can be single integer or tuple of integers. Default: 0. 2025-12-04T09:08:12.3720009Z has_aux (bool): Flag indicating that ``func`` returns a tensor and other 2025-12-04T09:08:12.3720517Z auxiliary objects: ``(output, aux)``. Default: False. 2025-12-04T09:08:12.3720880Z 2025-12-04T09:08:12.3721068Z Returns: 2025-12-04T09:08:12.3721491Z Function to compute gradients with respect to its inputs. By default, the output of 2025-12-04T09:08:12.3722136Z the function is the gradient tensor(s) with respect to the first argument. 2025-12-04T09:08:12.3722770Z If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects 2025-12-04T09:08:12.3723502Z is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with 2025-12-04T09:08:12.3724114Z respect to each ``argnums`` value is returned. 2025-12-04T09:08:12.3724462Z 2025-12-04T09:08:12.3724666Z Example of using ``grad``: 2025-12-04T09:08:12.3724955Z 2025-12-04T09:08:12.3725167Z >>> # xdoctest: +SKIP 2025-12-04T09:08:12.3725461Z >>> from torch.func import grad 2025-12-04T09:08:12.3725783Z >>> x = torch.randn([]) 2025-12-04T09:08:12.3726105Z >>> cos_x = grad(lambda x: torch.sin(x))(x) 2025-12-04T09:08:12.3726463Z >>> assert torch.allclose(cos_x, x.cos()) 2025-12-04T09:08:12.3726785Z >>> 2025-12-04T09:08:12.3727028Z >>> # Second-order gradients 2025-12-04T09:08:12.3727456Z >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x) 2025-12-04T09:08:12.3727845Z >>> assert torch.allclose(neg_sin_x, -x.sin()) 2025-12-04T09:08:12.3728179Z 2025-12-04T09:08:12.3728548Z When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients: 2025-12-04T09:08:12.3728990Z 2025-12-04T09:08:12.3729205Z >>> # xdoctest: +SKIP 2025-12-04T09:08:12.3729521Z >>> from torch.func import grad, vmap 2025-12-04T09:08:12.3729860Z >>> batch_size, feature_size = 3, 5 2025-12-04T09:08:12.3730170Z >>> 2025-12-04T09:08:12.3730417Z >>> def model(weights, feature_vec): 2025-12-04T09:08:12.3730770Z >>> # Very simple linear model with activation 2025-12-04T09:08:12.3731129Z >>> assert feature_vec.dim() == 1 2025-12-04T09:08:12.3731482Z >>> return feature_vec.dot(weights).relu() 2025-12-04T09:08:12.3731811Z >>> 2025-12-04T09:08:12.3732070Z >>> def compute_loss(weights, example, target): 2025-12-04T09:08:12.3732437Z >>> y = model(weights, example) 2025-12-04T09:08:12.3732804Z >>> return ((y - target) ** 2).mean() # MSELoss 2025-12-04T09:08:12.3733129Z >>> 2025-12-04T09:08:12.3733437Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T09:08:12.3733892Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T09:08:12.3734265Z >>> targets = torch.randn(batch_size) 2025-12-04T09:08:12.3734625Z >>> inputs = (weights, examples, targets) 2025-12-04T09:08:12.3735098Z >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))( 2025-12-04T09:08:12.3735547Z ... *inputs 2025-12-04T09:08:12.3735788Z ... ) 2025-12-04T09:08:12.3736004Z 2025-12-04T09:08:12.3736293Z Example of using ``grad`` with ``has_aux`` and ``argnums``: 2025-12-04T09:08:12.3736658Z 2025-12-04T09:08:12.3736869Z >>> # xdoctest: +SKIP 2025-12-04T09:08:12.3737175Z >>> from torch.func import grad 2025-12-04T09:08:12.3737491Z >>> def my_loss_func(y, y_pred): 2025-12-04T09:08:12.3737845Z >>> loss_per_sample = (0.5 * y_pred - y) ** 2 2025-12-04T09:08:12.3738208Z >>> loss = loss_per_sample.mean() 2025-12-04T09:08:12.3738568Z >>> return loss, (y_pred, loss_per_sample) 2025-12-04T09:08:12.3738882Z >>> 2025-12-04T09:08:12.3739162Z >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True) 2025-12-04T09:08:12.3739534Z >>> y_true = torch.rand(4) 2025-12-04T09:08:12.3739863Z >>> y_preds = torch.rand(4, requires_grad=True) 2025-12-04T09:08:12.3740217Z >>> out = fn(y_true, y_preds) 2025-12-04T09:08:12.3740676Z >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample)) 2025-12-04T09:08:12.3741111Z 2025-12-04T09:08:12.3741309Z .. note:: 2025-12-04T09:08:12.3741618Z Using PyTorch ``torch.no_grad`` together with ``grad``. 2025-12-04T09:08:12.3741972Z 2025-12-04T09:08:12.3742301Z Case 1: Using ``torch.no_grad`` inside a function: 2025-12-04T09:08:12.3742650Z 2025-12-04T09:08:12.3742867Z >>> # xdoctest: +SKIP 2025-12-04T09:08:12.3743159Z >>> def f(x): 2025-12-04T09:08:12.3743443Z >>> with torch.no_grad(): 2025-12-04T09:08:12.3743746Z >>> c = x ** 2 2025-12-04T09:08:12.3744040Z >>> return x - c 2025-12-04T09:08:12.3744315Z 2025-12-04T09:08:12.3744610Z In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``. 2025-12-04T09:08:12.3745006Z 2025-12-04T09:08:12.3745295Z Case 2: Using ``grad`` inside ``torch.no_grad`` context manager: 2025-12-04T09:08:12.3745663Z 2025-12-04T09:08:12.3745871Z >>> # xdoctest: +SKIP 2025-12-04T09:08:12.3746234Z >>> with torch.no_grad(): 2025-12-04T09:08:12.3746524Z >>> grad(f)(x) 2025-12-04T09:08:12.3746794Z 2025-12-04T09:08:12.3747120Z In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the 2025-12-04T09:08:12.3747679Z outer one. This is because ``grad`` is a "function transform": its result 2025-12-04T09:08:12.3748226Z should not depend on the result of a context manager outside of ``f``. 2025-12-04T09:08:12.3748647Z 2025-12-04T09:08:12.3748832Z 2025-12-04T09:08:12.3749651Z Original Error: IndentationError('expected an indented block after function definition on line 5', ('', 6, 1, '_._ = None\n', 6, 2)) 2025-12-04T09:08:12.3750374Z 2025-12-04T09:08:12.3750560Z _._ = None 2025-12-04T09:08:12.3750756Z ^ 2025-12-04T09:08:12.3750965Z warnings.warn(msg) 2025-12-04T09:08:12.3751213Z 2025-12-04T09:08:12.3751522Z --- Parse Warning: 9 / 17 --- 2025-12-04T09:08:12.3752731Z /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. 2025-12-04T09:08:12.3754071Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:12.3754613Z Register a FakeTensor implementation for this custom op. 2025-12-04T09:08:12.3754968Z 2025-12-04T09:08:12.3755325Z This is necessary to get the operator to work efficiently with torch.compile. 2025-12-04T09:08:12.3755774Z 2025-12-04T09:08:12.3756096Z The Fake impl (sometimes also known as a meta kernel or abstract impl) 2025-12-04T09:08:12.3756660Z specifies the behavior of this operator on Tensors that carry no data. 2025-12-04T09:08:12.3757158Z Given some input Tensors with certain properties 2025-12-04T09:08:12.3757680Z (sizes/strides/storage_offset/device), it specifies what the properties of 2025-12-04T09:08:12.3758152Z the output Tensors are. 2025-12-04T09:08:12.3758433Z 2025-12-04T09:08:12.3758743Z Please see :func:`torch.library.register_fake` for more details. 2025-12-04T09:08:12.3759137Z 2025-12-04T09:08:12.3759321Z Args: 2025-12-04T09:08:12.3759623Z fn (Callable): The function to register as the FakeTensor 2025-12-04T09:08:12.3759998Z implementation. 2025-12-04T09:08:12.3760275Z 2025-12-04T09:08:12.3760469Z Examples: 2025-12-04T09:08:12.3760705Z >>> import torch 2025-12-04T09:08:12.3760977Z >>> import numpy as np 2025-12-04T09:08:12.3761296Z >>> from torch import Tensor 2025-12-04T09:08:12.3761597Z >>> 2025-12-04T09:08:12.3761911Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T09:08:12.3762419Z >>> @torch.library.custom_op("mylib::linear", mutates_args=()) 2025-12-04T09:08:12.3762912Z >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T09:08:12.3763468Z >>> return (x @ weight.t()) + bias 2025-12-04T09:08:12.3763788Z >>> 2025-12-04T09:08:12.3764122Z >>> @linear.register_fake 2025-12-04T09:08:12.3764442Z >>> def _(x, weight, bias): 2025-12-04T09:08:12.3764746Z >>> assert x.dim() == 2 2025-12-04T09:08:12.3765071Z >>> assert weight.dim() == 2 2025-12-04T09:08:12.3765405Z >>> assert bias.dim() == 1 2025-12-04T09:08:12.3765733Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T09:08:12.3766109Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T09:08:12.3766473Z >>> assert x.device == weight.device 2025-12-04T09:08:12.3766838Z >>> return x.new_empty(x.size(0), weight.size(0)) 2025-12-04T09:08:12.3767280Z >>> 2025-12-04T09:08:12.3767519Z >>> x = torch.randn(2, 2) 2025-12-04T09:08:12.3767839Z >>> weight = torch.randn(2, 2) 2025-12-04T09:08:12.3768160Z >>> bias = torch.randn(2) 2025-12-04T09:08:12.3768508Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:08:12.3768952Z >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias) 2025-12-04T09:08:12.3769382Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:08:12.3769881Z >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias)) 2025-12-04T09:08:12.3770327Z >>> 2025-12-04T09:08:12.3770626Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T09:08:12.3771118Z >>> @torch.library.custom_op("mylib::nonzero", mutates_args=()) 2025-12-04T09:08:12.3771556Z >>> def nonzero(x: Tensor) -> Tensor: 2025-12-04T09:08:12.3771896Z >>> x_np = x.cpu().numpy() 2025-12-04T09:08:12.3772234Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T09:08:12.3772620Z >>> return torch.tensor(res, device=x.device) 2025-12-04T09:08:12.3772952Z >>> 2025-12-04T09:08:12.3773187Z >>> @nonzero.register_fake 2025-12-04T09:08:12.3773496Z >>> def _(x): 2025-12-04T09:08:12.3773815Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T09:08:12.3774240Z >>> # Since we cannot peek at the data in an abstract impl, 2025-12-04T09:08:12.3774665Z >>> # we use the ctx object to construct a new symint that 2025-12-04T09:08:12.3775070Z >>> # represents the data-dependent size. 2025-12-04T09:08:12.3775432Z >>> ctx = torch.library.get_ctx() 2025-12-04T09:08:12.3775763Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T09:08:12.3776105Z >>> shape = [nnz, x.dim()] 2025-12-04T09:08:12.3776470Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T09:08:12.3776822Z >>> return result 2025-12-04T09:08:12.3777098Z >>> 2025-12-04T09:08:12.3777349Z >>> x = torch.tensor([0, 1, 2, 0, 0, 1]) 2025-12-04T09:08:12.3777711Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:08:12.3778097Z >>> out = torch.compile(nonzero, fullgraph=True)(x) 2025-12-04T09:08:12.3778494Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T09:08:12.3778872Z >>> assert torch.allclose(out, x.nonzero()) 2025-12-04T09:08:12.3779186Z 2025-12-04T09:08:12.3779380Z 2025-12-04T09:08:12.3780038Z Original Error: IndentationError('expected an indented block after function definition on line 36', ('', 37, 1, '_._ = None\n', 37, 2)) 2025-12-04T09:08:12.3780762Z 2025-12-04T09:08:12.3780957Z _._ = None 2025-12-04T09:08:12.3781169Z ^ 2025-12-04T09:08:12.3781363Z warnings.warn(msg) 2025-12-04T09:08:12.3781615Z 2025-12-04T09:08:12.3782005Z --- Parse Warning: 10 / 17 --- 2025-12-04T09:08:12.3783219Z /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. 2025-12-04T09:08:12.3784562Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-12-04T09:08:12.3785028Z 2025-12-04T09:08:12.3785368Z Registers a fake kernel based on the given operator profiles. This fake 2025-12-04T09:08:12.3785950Z kernel registration will override any existing fake kernel registrations. 2025-12-04T09:08:12.3786399Z 2025-12-04T09:08:12.3786721Z The input is a dictionary mapping operator names to a set of operator 2025-12-04T09:08:12.3787335Z profiles, which we will use to generate fake kernels. The operator profiles 2025-12-04T09:08:12.3787880Z are a record of the input and output tensor metadata. Based on this 2025-12-04T09:08:12.3788440Z information we will match a given input to the recorded profile, and return 2025-12-04T09:08:12.3789027Z an output with the same metadata as in the recorded profile. If a profile 2025-12-04T09:08:12.3789499Z doesn't exist then an exception will be thrown. 2025-12-04T09:08:12.3789833Z 2025-12-04T09:08:12.3790179Z The fake kernel generation is considered unsafe because it relies on the 2025-12-04T09:08:12.3790755Z rigid, pre-defined operator profiles that do not account for potential 2025-12-04T09:08:12.3791338Z variations in output behavior. Specifically, the generated kernels assume a 2025-12-04T09:08:12.3791956Z fixed relationship between input and output ranks. However, in reality, it's 2025-12-04T09:08:12.3792567Z possible that data-dependent operations may produce outputs of different 2025-12-04T09:08:12.3793133Z ranks even when given inputs of the same rank. The generated fake kernels 2025-12-04T09:08:12.3793693Z are inflexible and unable to accommodate these nuances, making them 2025-12-04T09:08:12.3794123Z potentially unsafe. 2025-12-04T09:08:12.3794357Z 2025-12-04T09:08:12.3794536Z Args: 2025-12-04T09:08:12.3794865Z op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator 2025-12-04T09:08:12.3795398Z name to a set of operator profiles from which we will generate fake 2025-12-04T09:08:12.3795788Z kernels. 2025-12-04T09:08:12.3796017Z 2025-12-04T09:08:12.3796212Z Examples: 2025-12-04T09:08:12.3796408Z 2025-12-04T09:08:12.3796683Z >>> # Example: Registering an op-profile from draft-export 2025-12-04T09:08:12.3797054Z >>> import torch 2025-12-04T09:08:12.3797363Z >>> from torch.export._draft_export import draft_export 2025-12-04T09:08:12.3797717Z >>> 2025-12-04T09:08:12.3798009Z >>> @torch.library.custom_op("mylib::foo", mutates_args=()) 2025-12-04T09:08:12.3798412Z >>> def foo(x: Tensor, y: Tensor) -> Tensor: 2025-12-04T09:08:12.3798749Z >>> return x + y 2025-12-04T09:08:12.3799001Z >>> 2025-12-04T09:08:12.3799231Z >>> class M(torch.nn.Module): 2025-12-04T09:08:12.3799534Z >>> def forward(self, a, b): 2025-12-04T09:08:12.3799894Z >>> res = torch.ops.mylib.foo(a, b) # no fake impl 2025-12-04T09:08:12.3800252Z >>> return res 2025-12-04T09:08:12.3800499Z >>> 2025-12-04T09:08:12.3800792Z >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4)) 2025-12-04T09:08:12.3801165Z >>> 2025-12-04T09:08:12.3801576Z >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles): 2025-12-04T09:08:12.3802119Z >>> decomp = ep.run_decompositions() 2025-12-04T09:08:12.3802437Z 2025-12-04T09:08:12.3802619Z 2025-12-04T09:08:12.3803216Z Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced') 2025-12-04T09:08:12.3804064Z 2025-12-04T09:08:12.3804285Z warnings.warn(msg) 2025-12-04T09:08:12.3804526Z 2025-12-04T09:08:12.3804842Z --- Parse Warning: 11 / 17 --- 2025-12-04T09:08:12.3806434Z /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. 2025-12-04T09:08:12.3807991Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:12.3808428Z 2025-12-04T09:08:12.3808803Z The Activation sparsifier class aims to sparsify/prune activations in a neural 2025-12-04T09:08:12.3809481Z network. The idea is to attach the sparsifier to a layer (or layers) and it 2025-12-04T09:08:12.3810064Z zeroes out the activations based on the mask_fn (or sparsification function) 2025-12-04T09:08:12.3810535Z input by the user. 2025-12-04T09:08:12.3810924Z The mask_fn is applied once all the inputs are aggregated and reduced i.e. 2025-12-04T09:08:12.3811409Z mask = mask_fn(reduce_fn(aggregate_fn(activations))) 2025-12-04T09:08:12.3811759Z 2025-12-04T09:08:12.3811957Z Note:: 2025-12-04T09:08:12.3812399Z The sparsification mask is computed on the input **before it goes through the attached layer**. 2025-12-04T09:08:12.3812906Z 2025-12-04T09:08:12.3813099Z Args: 2025-12-04T09:08:12.3813315Z model (nn.Module): 2025-12-04T09:08:12.3813698Z The model whose layers will be sparsified. The layers that needs to be 2025-12-04T09:08:12.3814283Z sparsified should be added separately using the register_layer() function 2025-12-04T09:08:12.3814770Z aggregate_fn (Optional, Callable): 2025-12-04T09:08:12.3815242Z default aggregate_fn that is used if not specified while registering the layer. 2025-12-04T09:08:12.3815798Z specifies how inputs should be aggregated over time. 2025-12-04T09:08:12.3816367Z The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor. 2025-12-04T09:08:12.3816866Z Example 2025-12-04T09:08:12.3817181Z def add_agg_fn(tensor1, tensor2): return tensor1 + tensor2 2025-12-04T09:08:12.3817593Z reduce_fn (Optional, Callable): 2025-12-04T09:08:12.3818069Z default reduce_fn that is used if not specified while registering the layer. 2025-12-04T09:08:12.3818675Z reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after 2025-12-04T09:08:12.3819171Z calling agg_fn() on all inputs. 2025-12-04T09:08:12.3819491Z Example 2025-12-04T09:08:12.3819863Z def mean_reduce_fn(agg_tensor): return agg_tensor.mean(dim=0) 2025-12-04T09:08:12.3820287Z mask_fn (Optional, Callable): 2025-12-04T09:08:12.3820832Z default mask_fn that is used to create the sparsification mask using the tensor obtained after 2025-12-04T09:08:12.3821520Z calling the reduce_fn(). This is used by default if a custom one is passed in the 2025-12-04T09:08:12.3821990Z register_layer(). 2025-12-04T09:08:12.3822553Z Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config 2025-12-04T09:08:12.3823126Z arguments. 2025-12-04T09:08:12.3823423Z features (Optional, list): 2025-12-04T09:08:12.3823764Z default selected features to sparsify. 2025-12-04T09:08:12.3824284Z If this is non-empty, then the mask_fn will be applied for each feature of the input. 2025-12-04T09:08:12.3824776Z For example, 2025-12-04T09:08:12.3825207Z mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features] 2025-12-04T09:08:12.3825767Z feature_dim (Optional, int): 2025-12-04T09:08:12.3826270Z default dimension of input features. Again, features along this dim will be chosen 2025-12-04T09:08:12.3826780Z for sparsification. 2025-12-04T09:08:12.3827090Z sparse_config (Dict): 2025-12-04T09:08:12.3827524Z Default configuration for the mask_fn. This config will be passed 2025-12-04T09:08:12.3827973Z with the mask_fn() 2025-12-04T09:08:12.3828252Z 2025-12-04T09:08:12.3828454Z Example: 2025-12-04T09:08:12.3828681Z >>> # xdoctest: +SKIP 2025-12-04T09:08:12.3828948Z >>> model = SomeModel() 2025-12-04T09:08:12.3829378Z >>> act_sparsifier = ActivationSparsifier(...) # init activation sparsifier 2025-12-04T09:08:12.3829904Z >>> # Initialize aggregate_fn 2025-12-04T09:08:12.3830205Z >>> def agg_fn(x, y): 2025-12-04T09:08:12.3830463Z >>> return x + y 2025-12-04T09:08:12.3830726Z >>> 2025-12-04T09:08:12.3830948Z >>> # Initialize reduce_fn 2025-12-04T09:08:12.3831231Z >>> def reduce_fn(x): 2025-12-04T09:08:12.3831518Z >>> return torch.mean(x, dim=0) 2025-12-04T09:08:12.3831817Z >>> 2025-12-04T09:08:12.3832022Z >>> # Initialize mask_fn 2025-12-04T09:08:12.3832305Z >>> def mask_fn(data): 2025-12-04T09:08:12.3832628Z >>> return torch.eye(data.shape).to(data.device) 2025-12-04T09:08:12.3832961Z >>> 2025-12-04T09:08:12.3833168Z >>> 2025-12-04T09:08:12.3833401Z >>> act_sparsifier.register_layer( 2025-12-04T09:08:12.3833714Z ... model.some_layer, 2025-12-04T09:08:12.3834006Z ... aggregate_fn=agg_fn, 2025-12-04T09:08:12.3834305Z ... reduce_fn=reduce_fn, 2025-12-04T09:08:12.3834590Z ... mask_fn=mask_fn, 2025-12-04T09:08:12.3834853Z ... ) 2025-12-04T09:08:12.3835061Z >>> 2025-12-04T09:08:12.3835266Z >>> # start training process 2025-12-04T09:08:12.3835563Z >>> for _ in [...]: 2025-12-04T09:08:12.3835823Z >>> # epoch starts 2025-12-04T09:08:12.3836153Z >>> # model.forward(), compute_loss() and model.backwards() 2025-12-04T09:08:12.3836516Z >>> # epoch ends 2025-12-04T09:08:12.3836783Z >>> act_sparsifier.step() 2025-12-04T09:08:12.3837092Z >>> # end training process 2025-12-04T09:08:12.3837384Z >>> sparsifier.squash_mask() 2025-12-04T09:08:12.3837670Z 2025-12-04T09:08:12.3838289Z Original Error: IndentationError("expected an indented block after 'for' statement on line 25", ('', 26, 1, '_._ = None\n', 26, 2)) 2025-12-04T09:08:12.3838985Z 2025-12-04T09:08:12.3839175Z _._ = None 2025-12-04T09:08:12.3839387Z ^ 2025-12-04T09:08:12.3839586Z warnings.warn(msg) 2025-12-04T09:08:12.3839834Z 2025-12-04T09:08:12.3840146Z --- Parse Warning: 12 / 17 --- 2025-12-04T09:08:12.3841347Z /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. 2025-12-04T09:08:12.3842658Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:12.3843105Z 2025-12-04T09:08:12.3843484Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh. 2025-12-04T09:08:12.3844226Z The submesh created consists of the dimensions and the communicators indicated by 2025-12-04T09:08:12.3844706Z ``mesh_dim_names`` 2025-12-04T09:08:12.3844940Z 2025-12-04T09:08:12.3845125Z Args: 2025-12-04T09:08:12.3845465Z mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the 2025-12-04T09:08:12.3846013Z mesh dimension of the DeviceMesh to create the submesh for. 2025-12-04T09:08:12.3846398Z Returns: 2025-12-04T09:08:12.3846610Z A :class:`DeviceMesh` object 2025-12-04T09:08:12.3846974Z 2025-12-04T09:08:12.3847363Z The following program runs on each process/rank in an SPMD manner in a world size of 8. 2025-12-04T09:08:12.3847856Z In the first example: 2025-12-04T09:08:12.3848278Z Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]). 2025-12-04T09:08:12.3848891Z Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of DeviceMesh:([4, 5, 6, 7]). 2025-12-04T09:08:12.3849671Z Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of DeviceMesh:([0, 4]). 2025-12-04T09:08:12.3850232Z Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of DeviceMesh:([1, 5]). 2025-12-04T09:08:12.3850796Z Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of DeviceMesh:([2, 6]). 2025-12-04T09:08:12.3851496Z Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of DeviceMesh:([3, 7]). 2025-12-04T09:08:12.3851905Z 2025-12-04T09:08:12.3852110Z In the second example: 2025-12-04T09:08:12.3852560Z Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]). 2025-12-04T09:08:12.3853209Z Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]). 2025-12-04T09:08:12.3853846Z Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]). 2025-12-04T09:08:12.3854495Z Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]). 2025-12-04T09:08:12.3854956Z 2025-12-04T09:08:12.3855149Z Example:: 2025-12-04T09:08:12.3855366Z 2025-12-04T09:08:12.3855579Z >>> # xdoctest: +SKIP("no rank") 2025-12-04T09:08:12.3855952Z >>> from torch.distributed.device_mesh import DeviceMesh 2025-12-04T09:08:12.3856330Z >>> 2025-12-04T09:08:12.3856652Z >>> # Initialize a 2D device mesh as (2, 4) to represent the topology 2025-12-04T09:08:12.3857119Z >>> # of cross-host(dim 0), and within-host (dim 1). 2025-12-04T09:08:12.3857616Z >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T09:08:12.3858085Z >>> tp_mesh = mesh_2d["tp"] 2025-12-04T09:08:12.3858384Z >>> dp_mesh = mesh_2d["dp"] 2025-12-04T09:08:12.3858657Z >>> 2025-12-04T09:08:12.3858877Z >>> # Initialize a 3D mesh. 2025-12-04T09:08:12.3859353Z >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp")) 2025-12-04T09:08:12.3860055Z >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh. 2025-12-04T09:08:12.3860587Z >>> dp_cp_mesh = mesh_3d["dp", "cp"] 2025-12-04T09:08:12.3860923Z >>> cp_dp_mesh = mesh_3d["cp", "dp"] 2025-12-04T09:08:12.3861230Z 2025-12-04T09:08:12.3862014Z 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)) 2025-12-04T09:08:12.3862891Z 2025-12-04T09:08:12.3863251Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T09:08:12.3863730Z ^ 2025-12-04T09:08:12.3864074Z warnings.warn(msg) 2025-12-04T09:08:12.3864329Z 2025-12-04T09:08:12.3864658Z --- Parse Warning: 13 / 17 --- 2025-12-04T09:08:12.3865854Z /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. 2025-12-04T09:08:12.3867193Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:12.3867645Z 2025-12-04T09:08:12.3868036Z Abstract class defining the protocol used by save_state_dict to plan the save process. 2025-12-04T09:08:12.3868623Z 2025-12-04T09:08:12.3869032Z SavePlanners are stateful objects that can be used to customize the whole save process. 2025-12-04T09:08:12.3869533Z 2025-12-04T09:08:12.3869913Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T09:08:12.3870431Z will be visible to the whole process. 2025-12-04T09:08:12.3870740Z 2025-12-04T09:08:12.3871119Z A planner subclass can expect the following sequence of calls during save_state_dict: 2025-12-04T09:08:12.3871595Z 2025-12-04T09:08:12.3871823Z 1) set_up_planner - called on all ranks. 2025-12-04T09:08:12.3872169Z Signals the start of a checkpoint save. 2025-12-04T09:08:12.3872485Z 2025-12-04T09:08:12.3872714Z 2) create_local_plan - called on all ranks. 2025-12-04T09:08:12.3873297Z Process the state_dict and produces a `SavePlan` that will be sent for global planning. 2025-12-04T09:08:12.3873775Z 2025-12-04T09:08:12.3874067Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T09:08:12.3874558Z Takes the SavePlan from all ranks and make any global decision. 2025-12-04T09:08:12.3874940Z 2025-12-04T09:08:12.3875160Z 4) finish_plan - called on all ranks. 2025-12-04T09:08:12.3875601Z This gives each rank a chance to adjust to global planning decisions. 2025-12-04T09:08:12.3876007Z 2025-12-04T09:08:12.3876267Z 5) resolve_data - called multiple times on each rank 2025-12-04T09:08:12.3876734Z Lookups a value on the `state_dict` for the storage layer to write. 2025-12-04T09:08:12.3877127Z 2025-12-04T09:08:12.3877543Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as 2025-12-04T09:08:12.3878152Z most changes can be expressed by changes in a single method. 2025-12-04T09:08:12.3878532Z 2025-12-04T09:08:12.3878752Z There are 3 usual patterns of extension: 2025-12-04T09:08:12.3879059Z 2025-12-04T09:08:12.3879424Z Rewriting state_dict. This is the simplest way to extend the save process as it 2025-12-04T09:08:12.3880016Z doesn't requite understanding the intrincacies of how SavePlan works: 2025-12-04T09:08:12.3880444Z 2025-12-04T09:08:12.3880665Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:08:12.3881009Z >>> class RenamePlanner(DefaultSavePlanner): 2025-12-04T09:08:12.3881353Z >>> def set_up_planner( 2025-12-04T09:08:12.3881627Z >>> self, 2025-12-04T09:08:12.3881879Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T09:08:12.3882227Z >>> storage_meta: Optional[StorageMeta], 2025-12-04T09:08:12.3882570Z >>> is_coordinator: bool, 2025-12-04T09:08:12.3882865Z >>> ) -> None: 2025-12-04T09:08:12.3883112Z >>> # prefix all keys with `foo_`` 2025-12-04T09:08:12.3883618Z >>> super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator) 2025-12-04T09:08:12.3884207Z 2025-12-04T09:08:12.3884650Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted 2025-12-04T09:08:12.3885186Z 2025-12-04T09:08:12.3885411Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:08:12.3885752Z >>> class FP16Planner(DefaultSavePlanner): 2025-12-04T09:08:12.3886101Z >>> def create_local_plan(self): 2025-12-04T09:08:12.3886435Z >>> plan = super().create_local_plan() 2025-12-04T09:08:12.3886768Z >>> for p in plan: 2025-12-04T09:08:12.3887053Z >>> if p.tensor_data is not None: 2025-12-04T09:08:12.3887435Z >>> p.tensor_data.properties.dtype = torch.float16 2025-12-04T09:08:12.3887800Z >>> return plan 2025-12-04T09:08:12.3888041Z >>> 2025-12-04T09:08:12.3888276Z >>> def resolve_data(self, write_item): 2025-12-04T09:08:12.3888631Z >>> item = super().resolve_data(write_item) 2025-12-04T09:08:12.3889212Z >>> return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16) 2025-12-04T09:08:12.3889685Z 2025-12-04T09:08:12.3890141Z Using the global planning step to make central decisions that can't be made individually by each rank 2025-12-04T09:08:12.3890685Z 2025-12-04T09:08:12.3890894Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:08:12.3891231Z >>> from itertools import zip_longest 2025-12-04T09:08:12.3891564Z >>> from dataclasses import replace 2025-12-04T09:08:12.3891938Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner): 2025-12-04T09:08:12.3892493Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0 2025-12-04T09:08:12.3893024Z >>> # This sample doesn't handle ShardedTensors 2025-12-04T09:08:12.3893390Z >>> def create_global_plan(self, all_plans): 2025-12-04T09:08:12.3893838Z >>> iters = [iter(all_plans[0].items)] * len(all_plans) 2025-12-04T09:08:12.3894210Z >>> items_per_rank = [ 2025-12-04T09:08:12.3894545Z >>> [item for item in items if item is not None] 2025-12-04T09:08:12.3894944Z >>> for items in zip(*zip_longest(*iters), strict=True) 2025-12-04T09:08:12.3895302Z >>> ] 2025-12-04T09:08:12.3895530Z >>> all_plans = [ 2025-12-04T09:08:12.3895808Z >>> replace(plan, items=items) 2025-12-04T09:08:12.3896217Z >>> for plan, items in zip(all_plans, items_per_rank, strict=True) 2025-12-04T09:08:12.3896614Z >>> ] 2025-12-04T09:08:12.3896880Z >>> return super().create_global_plan(all_plans) 2025-12-04T09:08:12.3897221Z 2025-12-04T09:08:12.3897601Z Finally, some planners need to save additional metadata in the checkpoint, this is 2025-12-04T09:08:12.3898267Z accomplished by having each rank contribute their data items in the local plan and 2025-12-04T09:08:12.3898770Z the global planner aggregate them: 2025-12-04T09:08:12.3899075Z 2025-12-04T09:08:12.3899307Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:08:12.3899691Z >>> class SaveExtraDataPlanner(DefaultSavePlanner): 2025-12-04T09:08:12.3900098Z >>> def create_local_plan(self) -> SavePlan: 2025-12-04T09:08:12.3900466Z >>> plan = super().create_local_plan() 2025-12-04T09:08:12.3900853Z >>> return replace(plan, planner_data="per-rank-data") 2025-12-04T09:08:12.3901223Z >>> 2025-12-04T09:08:12.3901641Z >>> def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]: 2025-12-04T09:08:12.3902268Z >>> global_plan, metadata = super().create_global_plan(all_plans) 2025-12-04T09:08:12.3902734Z >>> merged_data = [p.planner_data for p in global_plan] 2025-12-04T09:08:12.3903187Z >>> metadata = replace(metadata, planner_data=merged_data) 2025-12-04T09:08:12.3903594Z >>> return global_plan, metadata 2025-12-04T09:08:12.3903885Z 2025-12-04T09:08:12.3904536Z Original Error: IndentationError('expected an indented block after function definition on line 3', ('', 9, 0, '_._ = None\n', 9, -1)) 2025-12-04T09:08:12.3905262Z 2025-12-04T09:08:12.3905446Z _._ = None 2025-12-04T09:08:12.3905664Z ^ 2025-12-04T09:08:12.3905876Z warnings.warn(msg) 2025-12-04T09:08:12.3906112Z 2025-12-04T09:08:12.3906426Z --- Parse Warning: 14 / 17 --- 2025-12-04T09:08:12.3907639Z /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. 2025-12-04T09:08:12.3908969Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:12.3909403Z 2025-12-04T09:08:12.3909808Z Abstract class defining the protocol used by load_state_dict to plan the load process. 2025-12-04T09:08:12.3910297Z 2025-12-04T09:08:12.3910753Z LoadPlanner are stateful objects that can be used to customize the whole load process. 2025-12-04T09:08:12.3911247Z 2025-12-04T09:08:12.3911638Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T09:08:12.3912161Z will be visible to the whole process. 2025-12-04T09:08:12.3912461Z 2025-12-04T09:08:12.3912853Z A planner subclass can expect the following sequence of calls during load_state_dict: 2025-12-04T09:08:12.3913341Z 2025-12-04T09:08:12.3913559Z 1) set_up_planner - called on all ranks. 2025-12-04T09:08:12.3913926Z Signals the start of loading a checkpoint. 2025-12-04T09:08:12.3914255Z 2025-12-04T09:08:12.3914478Z 2) create_local_plan - called on all ranks. 2025-12-04T09:08:12.3915000Z Process the state_dict and produces a `LoadPlan` that will be sent for global planning. 2025-12-04T09:08:12.3915546Z 2025-12-04T09:08:12.3915837Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T09:08:12.3916323Z Takes the LoadPlan from all ranks and make any global decision. 2025-12-04T09:08:12.3916721Z 2025-12-04T09:08:12.3916977Z 4) load_bytes - called multiple times on each rank 2025-12-04T09:08:12.3917391Z This is called once per non-tensor value in state_dict. 2025-12-04T09:08:12.3917481Z 2025-12-04T09:08:12.3917702Z 5) resolve_tensor and commit_tensor - called multiple times on each rank 2025-12-04T09:08:12.3917879Z They are called in pair for each Tensor value in state_dict. 2025-12-04T09:08:12.3917970Z 2025-12-04T09:08:12.3918273Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as 2025-12-04T09:08:12.3918455Z most changes can be expressed by changes in a single method. 2025-12-04T09:08:12.3918546Z 2025-12-04T09:08:12.3918674Z There are two usual patterns of extension: 2025-12-04T09:08:12.3918765Z 2025-12-04T09:08:12.3919020Z Rewriting state_dict. This is the simplest way to extend the load process as it 2025-12-04T09:08:12.3919279Z doesn't requite understanding the intrincacies of how LoadPlan works. We need 2025-12-04T09:08:12.3919517Z to keep a reference to the original state_dict as load happens in place so 2025-12-04T09:08:12.3919638Z we need to be able to perform it in place 2025-12-04T09:08:12.3919715Z 2025-12-04T09:08:12.3919836Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:08:12.3919966Z >>> class RenamePlanner(DefaultLoadPlanner): 2025-12-04T09:08:12.3920062Z >>> def set_up_planner( 2025-12-04T09:08:12.3920157Z >>> self, 2025-12-04T09:08:12.3920265Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T09:08:12.3920374Z >>> metadata: Metadata, 2025-12-04T09:08:12.3920474Z >>> is_coordinator: bool, 2025-12-04T09:08:12.3920563Z >>> ) -> None: 2025-12-04T09:08:12.3920697Z >>> self.original_state_dict = state_dict 2025-12-04T09:08:12.3920866Z >>> state_dict = {"foo_" + k: v for k, v in state_dict.items()} 2025-12-04T09:08:12.3920949Z >>> 2025-12-04T09:08:12.3921075Z >>> if self.flatten_sharded_tensors: 2025-12-04T09:08:12.3921224Z >>> state_dict = _flatten_sharded_tensors(state_dict) 2025-12-04T09:08:12.3921306Z >>> 2025-12-04T09:08:12.3921424Z >>> if self.flatten_state_dict: 2025-12-04T09:08:12.3921607Z >>> state_dict, self.mappings = flatten_state_dict(state_dict) 2025-12-04T09:08:12.3921699Z >>> 2025-12-04T09:08:12.3921807Z >>> self.state_dict = state_dict 2025-12-04T09:08:12.3921908Z >>> self.metadata = metadata 2025-12-04T09:08:12.3922040Z >>> self.is_coordinator = is_coordinator 2025-12-04T09:08:12.3922118Z >>> 2025-12-04T09:08:12.3922236Z >>> def load_bytes(self, read_item, value): 2025-12-04T09:08:12.3922352Z >>> # Remove the "foo_" prefix 2025-12-04T09:08:12.3922670Z >>> self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False) 2025-12-04T09:08:12.3922748Z 2025-12-04T09:08:12.3922904Z 2025-12-04T09:08:12.3923164Z Modifying resolve_tensor and commit_tensor to handle load time transformation. 2025-12-04T09:08:12.3923255Z 2025-12-04T09:08:12.3923365Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T09:08:12.3923519Z >>> class MetaModelMaterialize(DefaultSavePlanner): 2025-12-04T09:08:12.3923646Z >>> def resolve_tensor(self, read_item): 2025-12-04T09:08:12.3923774Z >>> tensor = super().resolve_tensor(read_item) 2025-12-04T09:08:12.3924002Z >>> return torch.empty_like(tensor, device="cpu") 2025-12-04T09:08:12.3924095Z >>> 2025-12-04T09:08:12.3924227Z >>> def commit_tensor(self, read_item, tensor): 2025-12-04T09:08:12.3924382Z >>> self.state_dict[read_item.dest_index.fqn] = tensor 2025-12-04T09:08:12.3924529Z 2025-12-04T09:08:12.3925063Z Original Error: IndentationError('expected an indented block after function definition on line 22', ('', 23, 0, '_._ = None\n', 23, -1)) 2025-12-04T09:08:12.3925160Z 2025-12-04T09:08:12.3925242Z _._ = None 2025-12-04T09:08:12.3925321Z ^ 2025-12-04T09:08:12.3925427Z warnings.warn(msg) 2025-12-04T09:08:12.3925504Z 2025-12-04T09:08:12.3925705Z --- Parse Warning: 15 / 17 --- 2025-12-04T09:08:12.3926675Z /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. 2025-12-04T09:08:12.3926919Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:12.3927011Z 2025-12-04T09:08:12.3927216Z ``FullStateDictConfig`` is a config class meant to be used with 2025-12-04T09:08:12.3927411Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both 2025-12-04T09:08:12.3927625Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state 2025-12-04T09:08:12.3927846Z dicts to save GPU memory and CPU memory, respectively. This config class 2025-12-04T09:08:12.3928043Z is meant to be used via the :func:`state_dict_type` context manager as 2025-12-04T09:08:12.3928140Z follows: 2025-12-04T09:08:12.3928219Z 2025-12-04T09:08:12.3928345Z >>> # xdoctest: +SKIP("undefined variables") 2025-12-04T09:08:12.3928593Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-12-04T09:08:12.3928720Z >>> fsdp = FSDP(model, auto_wrap_policy=...) 2025-12-04T09:08:12.3928934Z >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True) 2025-12-04T09:08:12.3929148Z >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg): 2025-12-04T09:08:12.3929256Z >>> state = fsdp.state_dict() 2025-12-04T09:08:12.3929479Z >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0. 2025-12-04T09:08:12.3929715Z >>> # To reload checkpoint for inference, finetuning, transfer learning, etc: 2025-12-04T09:08:12.3929943Z >>> model = model_fn() # Initialize model in preparation for wrapping with FSDP 2025-12-04T09:08:12.3930059Z >>> if dist.get_rank() == 0: 2025-12-04T09:08:12.3930236Z >>> # Load checkpoint only on rank 0 to avoid memory redundancy 2025-12-04T09:08:12.3930388Z >>> state_dict = torch.load("my_checkpoint.pt") 2025-12-04T09:08:12.3930504Z >>> model.load_state_dict(state_dict) 2025-12-04T09:08:12.3930734Z >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument 2025-12-04T09:08:12.3930982Z >>> # communicates loaded checkpoint states from rank 0 to rest of the world. 2025-12-04T09:08:12.3931074Z >>> fsdp = FSDP( 2025-12-04T09:08:12.3931162Z ... model, 2025-12-04T09:08:12.3931304Z ... device_id=torch.cuda.current_device(), 2025-12-04T09:08:12.3931404Z ... auto_wrap_policy=..., 2025-12-04T09:08:12.3931509Z ... sync_module_states=True, 2025-12-04T09:08:12.3931658Z ... ) 2025-12-04T09:08:12.3931867Z >>> # After this point, all ranks have FSDP model with loaded checkpoint. 2025-12-04T09:08:12.3931957Z 2025-12-04T09:08:12.3932042Z Attributes: 2025-12-04T09:08:12.3932236Z rank0_only (bool): If ``True``, then only rank 0 saves the full state 2025-12-04T09:08:12.3932444Z dict, and nonzero ranks save an empty dict. If ``False``, then all 2025-12-04T09:08:12.3932595Z ranks save the full state dict. (Default: ``False``) 2025-12-04T09:08:12.3932673Z 2025-12-04T09:08:12.3933182Z Original Error: IndentationError("expected an indented block after 'if' statement on line 10", ('', 11, 1, '_._ = None\n', 11, 2)) 2025-12-04T09:08:12.3933315Z 2025-12-04T09:08:12.3933411Z _._ = None 2025-12-04T09:08:12.3933491Z ^ 2025-12-04T09:08:12.3933589Z warnings.warn(msg) 2025-12-04T09:08:12.3933680Z 2025-12-04T09:08:12.3933868Z --- Parse Warning: 16 / 17 --- 2025-12-04T09:08:12.3934844Z /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. 2025-12-04T09:08:12.3935107Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:12.3935263Z Register a parametrization to a tensor in a module. 2025-12-04T09:08:12.3935345Z 2025-12-04T09:08:12.3935635Z Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``, 2025-12-04T09:08:12.3935911Z the module will return the parametrized version ``parametrization(module.weight)``. 2025-12-04T09:08:12.3936191Z If the original tensor requires a gradient, the backward pass will differentiate 2025-12-04T09:08:12.3936482Z through :attr:`parametrization`, and the optimizer will update the tensor accordingly. 2025-12-04T09:08:12.3936561Z 2025-12-04T09:08:12.3936891Z The first time that a module registers a parametrization, this function will add an attribute 2025-12-04T09:08:12.3937134Z ``parametrizations`` to the module of type :class:`~ParametrizationList`. 2025-12-04T09:08:12.3937216Z 2025-12-04T09:08:12.3937484Z The list of parametrizations on the tensor ``weight`` will be accessible under 2025-12-04T09:08:12.3937610Z ``module.parametrizations.weight``. 2025-12-04T09:08:12.3937703Z 2025-12-04T09:08:12.3937840Z The original tensor will be accessible under 2025-12-04T09:08:12.3937988Z ``module.parametrizations.weight.original``. 2025-12-04T09:08:12.3938082Z 2025-12-04T09:08:12.3938346Z Parametrizations may be concatenated by registering several parametrizations 2025-12-04T09:08:12.3938449Z on the same attribute. 2025-12-04T09:08:12.3938545Z 2025-12-04T09:08:12.3938786Z The training mode of a registered parametrization is updated on registration 2025-12-04T09:08:12.3938928Z to match the training mode of the host module 2025-12-04T09:08:12.3939020Z 2025-12-04T09:08:12.3939321Z Parametrized parameters and buffers have an inbuilt caching system that can be activated 2025-12-04T09:08:12.3939463Z using the context manager :func:`cached`. 2025-12-04T09:08:12.3939543Z 2025-12-04T09:08:12.3939782Z A :attr:`parametrization` may optionally implement a method with signature 2025-12-04T09:08:12.3939873Z 2025-12-04T09:08:12.3939980Z .. code-block:: python 2025-12-04T09:08:12.3940059Z 2025-12-04T09:08:12.3940289Z def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]] 2025-12-04T09:08:12.3940366Z 2025-12-04T09:08:12.3940632Z This method is called on the unparametrized tensor when the first parametrization 2025-12-04T09:08:12.3940849Z is registered to compute the initial value of the original tensor. 2025-12-04T09:08:12.3941207Z If this method is not implemented, the original tensor will be just the unparametrized tensor. 2025-12-04T09:08:12.3941297Z 2025-12-04T09:08:12.3941605Z If all the parametrizations registered on a tensor implement `right_inverse` it is possible 2025-12-04T09:08:12.3941890Z to initialize a parametrized tensor by assigning to it, as shown in the example below. 2025-12-04T09:08:12.3941980Z 2025-12-04T09:08:12.3942205Z It is possible for the first parametrization to depend on several inputs. 2025-12-04T09:08:12.3942445Z This may be implemented returning a tuple of tensors from ``right_inverse`` 2025-12-04T09:08:12.3942688Z (see the example implementation of a ``RankOne`` parametrization below). 2025-12-04T09:08:12.3942766Z 2025-12-04T09:08:12.3943161Z In this case, the unconstrained tensors are also located under ``module.parametrizations.weight`` 2025-12-04T09:08:12.3943285Z with names ``original0``, ``original1``,... 2025-12-04T09:08:12.3943361Z 2025-12-04T09:08:12.3943461Z .. note:: 2025-12-04T09:08:12.3943539Z 2025-12-04T09:08:12.3943804Z If unsafe=False (default) both the forward and right_inverse methods will be called 2025-12-04T09:08:12.3943960Z once to perform a number of consistency checks. 2025-12-04T09:08:12.3944226Z If unsafe=True, then right_inverse will be called if the tensor is not parametrized, 2025-12-04T09:08:12.3944356Z and nothing will be called otherwise. 2025-12-04T09:08:12.3944432Z 2025-12-04T09:08:12.3944516Z .. note:: 2025-12-04T09:08:12.3944606Z 2025-12-04T09:08:12.3944807Z In most situations, ``right_inverse`` will be a function such that 2025-12-04T09:08:12.3944925Z ``forward(right_inverse(X)) == X`` (see 2025-12-04T09:08:12.3945233Z `right inverse `_). 2025-12-04T09:08:12.3945485Z Sometimes, when the parametrization is not surjective, it may be reasonable 2025-12-04T09:08:12.3945575Z to relax this. 2025-12-04T09:08:12.3945665Z 2025-12-04T09:08:12.3945752Z .. warning:: 2025-12-04T09:08:12.3945833Z 2025-12-04T09:08:12.3946123Z If a parametrization depends on several inputs, :func:`~register_parametrization` 2025-12-04T09:08:12.3946382Z will register a number of new parameters. If such parametrization is registered 2025-12-04T09:08:12.3946659Z after the optimizer is created, these new parameters will need to be added manually 2025-12-04T09:08:12.3946852Z to the optimizer. See :meth:`torch.Optimizer.add_param_group`. 2025-12-04T09:08:12.3946933Z 2025-12-04T09:08:12.3947031Z Args: 2025-12-04T09:08:12.3947240Z module (nn.Module): module on which to register the parametrization 2025-12-04T09:08:12.3960952Z tensor_name (str): name of the parameter or buffer on which to register 2025-12-04T09:08:12.3961128Z the parametrization 2025-12-04T09:08:12.3961379Z parametrization (nn.Module): the parametrization to register 2025-12-04T09:08:12.3961467Z Keyword args: 2025-12-04T09:08:12.3961691Z unsafe (bool): a boolean flag that denotes whether the parametrization 2025-12-04T09:08:12.3961899Z may change the dtype and shape of the tensor. Default: `False` 2025-12-04T09:08:12.3962174Z Warning: the parametrization is not checked for consistency upon registration. 2025-12-04T09:08:12.3962293Z Enable this flag at your own risk. 2025-12-04T09:08:12.3962389Z 2025-12-04T09:08:12.3962470Z Raises: 2025-12-04T09:08:12.3962762Z ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name` 2025-12-04T09:08:12.3962856Z 2025-12-04T09:08:12.3962953Z Examples: 2025-12-04T09:08:12.3963099Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK) 2025-12-04T09:08:12.3963192Z >>> import torch 2025-12-04T09:08:12.3963494Z >>> import torch.nn as nn 2025-12-04T09:08:12.3963634Z >>> import torch.nn.utils.parametrize as P 2025-12-04T09:08:12.3963713Z >>> 2025-12-04T09:08:12.3963834Z >>> class Symmetric(nn.Module): 2025-12-04T09:08:12.3964051Z >>> def forward(self, X): 2025-12-04T09:08:12.3964242Z >>> return X.triu() + X.triu(1).T # Return a symmetric matrix 2025-12-04T09:08:12.3964320Z >>> 2025-12-04T09:08:12.3964434Z >>> def right_inverse(self, A): 2025-12-04T09:08:12.3964538Z >>> return A.triu() 2025-12-04T09:08:12.3964616Z >>> 2025-12-04T09:08:12.3964714Z >>> m = nn.Linear(5, 5) 2025-12-04T09:08:12.3965190Z >>> P.register_parametrization(m, "weight", Symmetric()) 2025-12-04T09:08:12.3965726Z >>> print(torch.allclose(m.weight, m.weight.T)) # m.weight is now symmetric 2025-12-04T09:08:12.3966167Z True 2025-12-04T09:08:12.3966416Z >>> A = torch.rand(5, 5) 2025-12-04T09:08:12.3966732Z >>> A = A + A.T # A is now symmetric 2025-12-04T09:08:12.3967158Z >>> m.weight = A # Initialize the weight to be the symmetric matrix A 2025-12-04T09:08:12.3967590Z >>> print(torch.allclose(m.weight, A)) 2025-12-04T09:08:12.3967912Z True 2025-12-04T09:08:12.3968127Z 2025-12-04T09:08:12.3968335Z >>> class RankOne(nn.Module): 2025-12-04T09:08:12.3968665Z >>> def forward(self, x, y): 2025-12-04T09:08:12.3969033Z >>> # Form a rank 1 matrix multiplying two vectors 2025-12-04T09:08:12.3969416Z >>> return x.unsqueeze(-1) @ y.unsqueeze(-2) 2025-12-04T09:08:12.3969755Z >>> 2025-12-04T09:08:12.3970004Z >>> def right_inverse(self, Z): 2025-12-04T09:08:12.3970362Z >>> # Project Z onto the rank 1 matrices 2025-12-04T09:08:12.3970746Z >>> U, S, Vh = torch.linalg.svd(Z, full_matrices=False) 2025-12-04T09:08:12.3971174Z >>> # Return rescaled singular vectors 2025-12-04T09:08:12.3971561Z >>> s0_sqrt = S[0].sqrt().unsqueeze(-1) 2025-12-04T09:08:12.3971944Z >>> return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt 2025-12-04T09:08:12.3972285Z >>> 2025-12-04T09:08:12.3972563Z >>> linear_rank_one = P.register_parametrization( 2025-12-04T09:08:12.3972952Z ... nn.Linear(4, 4), "weight", RankOne() 2025-12-04T09:08:12.3973263Z ... ) 2025-12-04T09:08:12.3973599Z >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item()) 2025-12-04T09:08:12.3974010Z 1 2025-12-04T09:08:12.3974217Z 2025-12-04T09:08:12.3974401Z 2025-12-04T09:08:12.3975046Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 3, 0, '_._ = None\n', 3, -1)) 2025-12-04T09:08:12.3975772Z 2025-12-04T09:08:12.3975954Z _._ = None 2025-12-04T09:08:12.3976161Z ^ 2025-12-04T09:08:12.3976366Z warnings.warn(msg) 2025-12-04T09:08:12.3976599Z 2025-12-04T09:08:12.3976950Z --- Parse Warning: 17 / 17 --- 2025-12-04T09:08:12.3978131Z /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. 2025-12-04T09:08:12.3979431Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T09:08:12.3979969Z Reduce learning rate when a metric has stopped improving. 2025-12-04T09:08:12.3980346Z 2025-12-04T09:08:12.3980660Z Models often benefit from reducing the learning rate by a factor 2025-12-04T09:08:12.3981167Z of 2-10 once learning stagnates. This scheduler reads a metrics 2025-12-04T09:08:12.3981666Z quantity and if no improvement is seen for a 'patience' number 2025-12-04T09:08:12.3982198Z of epochs, the learning rate is reduced. 2025-12-04T09:08:12.3982506Z 2025-12-04T09:08:12.3982699Z Args: 2025-12-04T09:08:12.3982964Z optimizer (Optimizer): Wrapped optimizer. 2025-12-04T09:08:12.3983368Z mode (str): One of `min`, `max`. In `min` mode, lr will 2025-12-04T09:08:12.3983784Z be reduced when the quantity monitored has stopped 2025-12-04T09:08:12.3984224Z decreasing; in `max` mode it will be reduced when the 2025-12-04T09:08:12.3984696Z quantity monitored has stopped increasing. Default: 'min'. 2025-12-04T09:08:12.3985170Z factor (float): Factor by which the learning rate will be 2025-12-04T09:08:12.3985596Z reduced. new_lr = lr * factor. Default: 0.1. 2025-12-04T09:08:12.3986131Z patience (int): The number of allowed epochs with no improvement after 2025-12-04T09:08:12.3986605Z which the learning rate will be reduced. 2025-12-04T09:08:12.3987064Z For example, consider the case of having no patience (`patience = 0`). 2025-12-04T09:08:12.3987779Z In the first epoch, a baseline is established and is always considered good as there's no previous baseline. 2025-12-04T09:08:12.3988464Z In the second epoch, if the performance is worse than the baseline, 2025-12-04T09:08:12.3988931Z we have what is considered an intolerable epoch. 2025-12-04T09:08:12.3989465Z Since the count of intolerable epochs (1) is greater than the patience level (0), 2025-12-04T09:08:12.3990018Z the learning rate is reduced at the end of this epoch. 2025-12-04T09:08:12.3990627Z From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch 2025-12-04T09:08:12.3991384Z if the performance is worse than the baseline. If the performance improves or remains the same, 2025-12-04T09:08:12.3991945Z the learning rate is not adjusted. 2025-12-04T09:08:12.3992278Z Default: 10. 2025-12-04T09:08:12.3992634Z threshold (float): Threshold for measuring the new optimum, 2025-12-04T09:08:12.3993100Z to only focus on significant changes. Default: 1e-4. 2025-12-04T09:08:12.3993548Z threshold_mode (str): One of `rel`, `abs`. In `rel` mode, 2025-12-04T09:08:12.3993998Z dynamic_threshold = best * ( 1 + threshold ) in 'max' 2025-12-04T09:08:12.3994410Z mode or best * ( 1 - threshold ) in `min` mode. 2025-12-04T09:08:12.3994826Z In `abs` mode, dynamic_threshold = best + threshold in 2025-12-04T09:08:12.3995277Z `max` mode or best - threshold in `min` mode. Default: 'rel'. 2025-12-04T09:08:12.3995743Z cooldown (int): Number of epochs to wait before resuming 2025-12-04T09:08:12.3996208Z normal operation after lr has been reduced. Default: 0. 2025-12-04T09:08:12.3996665Z min_lr (float or list): A scalar or a list of scalars. A 2025-12-04T09:08:12.3997103Z lower bound on the learning rate of all param groups 2025-12-04T09:08:12.3997500Z or each group respectively. Default: 0. 2025-12-04T09:08:12.3997922Z eps (float): Minimal decay applied to lr. If the difference 2025-12-04T09:08:12.3998394Z between new and old lr is smaller than eps, the update is 2025-12-04T09:08:12.3998786Z ignored. Default: 1e-8. 2025-12-04T09:08:12.3999081Z 2025-12-04T09:08:12.3999275Z Example: 2025-12-04T09:08:12.3999500Z >>> # xdoctest: +SKIP 2025-12-04T09:08:12.3999921Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9) 2025-12-04T09:08:12.4000439Z >>> scheduler = ReduceLROnPlateau(optimizer, "min") 2025-12-04T09:08:12.4000818Z >>> for epoch in range(10): 2025-12-04T09:08:12.4001108Z >>> train(...) 2025-12-04T09:08:12.4001454Z >>> val_loss = validate(...) 2025-12-04T09:08:12.4001829Z >>> # Note that step should be called after validate() 2025-12-04T09:08:12.4002198Z >>> scheduler.step(val_loss) 2025-12-04T09:08:12.4002497Z 2025-12-04T09:08:12.4002808Z .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png 2025-12-04T09:08:12.4003188Z 2025-12-04T09:08:12.4003719Z Original Error: IndentationError('unexpected indent', ('', 8, 4, ' scheduler.step(val_loss)\n', 8, -1)) 2025-12-04T09:08:12.4004433Z 2025-12-04T09:08:12.4004652Z scheduler.step(val_loss) 2025-12-04T09:08:12.4004918Z ^ 2025-12-04T09:08:12.4005132Z warnings.warn(msg) 2025-12-04T09:08:12.4005383Z 2025-12-04T09:08:12.4005718Z  2025-12-04T09:08:12.4006007Z === Found 10 run-time warnings === 2025-12-04T09:08:12.4006421Z --- Runtime Warning: 1 / 10 --- 2025-12-04T09:08:12.4006847Z example = 2025-12-04T09:08:12.4008633Z :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() 2025-12-04T09:08:12.4010281Z 2025-12-04T09:08:12.4010569Z --- Runtime Warning: 2 / 10 --- 2025-12-04T09:08:12.4011057Z example = 2025-12-04T09:08:12.4012798Z /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.) 2025-12-04T09:08:12.4014375Z return super().refine_names(names) 2025-12-04T09:08:12.4014680Z 2025-12-04T09:08:12.4014960Z --- Runtime Warning: 3 / 10 --- 2025-12-04T09:08:12.4015506Z example = 2025-12-04T09:08:12.4016575Z /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. 2025-12-04T09:08:12.4017640Z Overriding a previously registered kernel for the same operator and the same dispatch key 2025-12-04T09:08:12.4018267Z operator: aten::div.Tensor(Tensor self, Tensor other) -> Tensor 2025-12-04T09:08:12.4018890Z registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSchema.cpp:6 2025-12-04T09:08:12.4019413Z dispatch key: CPU 2025-12-04T09:08:12.4020012Z previous kernel: registered at /var/lib/jenkins/workspace/aten/src/ATen/LegacyBatchingRegistrations.cpp:1079 2025-12-04T09:08:12.4021580Z new kernel: registered at :1 (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/core/dispatch/OperatorEntry.cpp:215.) 2025-12-04T09:08:12.4022830Z impl_fn(self.ns, name.split("::")[-1], dispatch_key) 2025-12-04T09:08:12.4023186Z 2025-12-04T09:08:12.4023482Z --- Runtime Warning: 4 / 10 --- 2025-12-04T09:08:12.4023953Z example = 2025-12-04T09:08:12.4026221Z /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.) 2025-12-04T09:08:12.4028443Z return torch._nested_tensor_from_tensor_list(ts, dtype, None, device, None) 2025-12-04T09:08:12.4028891Z 2025-12-04T09:08:12.4029182Z --- Runtime Warning: 5 / 10 --- 2025-12-04T09:08:12.4029661Z example = 2025-12-04T09:08:12.4031657Z :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.) 2025-12-04T09:08:12.4033533Z 2025-12-04T09:08:12.4033823Z --- Runtime Warning: 6 / 10 --- 2025-12-04T09:08:12.4034361Z example = 2025-12-04T09:08:12.4036324Z /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 2025-12-04T09:08:12.4038133Z new_node = root_const_gm.graph.get_attr(in_node.target) 2025-12-04T09:08:12.4038501Z 2025-12-04T09:08:12.4038780Z --- Runtime Warning: 7 / 10 --- 2025-12-04T09:08:12.4039307Z example = 2025-12-04T09:08:12.4040836Z /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) 2025-12-04T09:08:12.4042168Z self.encoder = TransformerEncoder( 2025-12-04T09:08:12.4042465Z 2025-12-04T09:08:12.4042754Z --- Runtime Warning: 8 / 10 --- 2025-12-04T09:08:12.4043322Z example = 2025-12-04T09:08:12.4045112Z :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) 2025-12-04T09:08:12.4046542Z 2025-12-04T09:08:12.4046835Z --- Runtime Warning: 9 / 10 --- 2025-12-04T09:08:12.4047367Z example = 2025-12-04T09:08:12.4048605Z /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`. 2025-12-04T09:08:12.4049881Z WeightNorm.apply(module, name, dim) 2025-12-04T09:08:12.4050200Z 2025-12-04T09:08:12.4050511Z --- Runtime Warning: 10 / 10 --- 2025-12-04T09:08:12.4051057Z example = 2025-12-04T09:08:12.4052291Z /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`. 2025-12-04T09:08:12.4053336Z WeightNorm.apply(module, name, dim) 2025-12-04T09:08:12.4053648Z 2025-12-04T09:08:12.4054039Z === 378 passed, 516 skipped, 27 warnings in 19.74 seconds === 2025-12-04T09:08:12.4054752Z Finished doctests 1/1 ... [2025-12-04 09:08:12.352534][1095.317611339], took 0.33min 2025-12-04T09:08:12.4055387Z Running inductor/test_flex_attention 1/5 ... [2025-12-04 09:08:12.355538][1095.320625618] 2025-12-04T09:08:12.4055901Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:12.4057167Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=1', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:12.355878] 2025-12-04T09:08:20.6246766Z 2025-12-04T09:08:20.6247816Z inductor/test_flex_attention 1/5 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_1.5_046fadef16555cd0_.log 2025-12-04T09:08:20.6249030Z Running 0 items in this shard: 2025-12-04T09:08:20.6249391Z 2025-12-04T09:08:20.6249716Z Finished inductor/test_flex_attention 1/5 ... [2025-12-04 09:08:20.624640][1103.589724253], took 0.14min 2025-12-04T09:08:20.6274513Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-4762e70127f63153.xml 2025-12-04T09:08:20.7003082Z Running inductor/test_flex_attention 2/5 ... [2025-12-04 09:08:20.700030][1103.66511445] 2025-12-04T09:08:20.7003679Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:20.7006617Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=2', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:20.700412] 2025-12-04T09:08:29.0493620Z 2025-12-04T09:08:29.0494774Z inductor/test_flex_attention 2/5 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_2.5_4b028bb4d6f9aa05_.log 2025-12-04T09:08:29.0495657Z Running 0 items in this shard: 2025-12-04T09:08:29.0495861Z 2025-12-04T09:08:29.0496194Z Finished inductor/test_flex_attention 2/5 ... [2025-12-04 09:08:29.049186][1112.014271567], took 0.14min 2025-12-04T09:08:29.0523648Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-ffbe84225125c61b.xml 2025-12-04T09:08:29.1089878Z Running inductor/test_flex_attention 3/5 ... [2025-12-04 09:08:29.108744][1112.073828043] 2025-12-04T09:08:29.1090420Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:29.1093901Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=3', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:29.109171] 2025-12-04T09:08:37.4682716Z 2025-12-04T09:08:37.4683713Z inductor/test_flex_attention 3/5 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_3.5_168aec765562dc94_.log 2025-12-04T09:08:37.4684668Z Running 0 items in this shard: 2025-12-04T09:08:37.4684859Z 2025-12-04T09:08:37.4685180Z Finished inductor/test_flex_attention 3/5 ... [2025-12-04 09:08:37.468092][1120.433176305], took 0.14min 2025-12-04T09:08:37.4713891Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-a3ffb58cb4b3b1c9.xml 2025-12-04T09:08:37.5355889Z Running inductor/test_flex_attention 4/5 ... [2025-12-04 09:08:37.535307][1120.500392621] 2025-12-04T09:08:37.5356429Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:37.5359415Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=4', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:37.535670] 2025-12-04T09:08:45.9316075Z 2025-12-04T09:08:45.9317052Z inductor/test_flex_attention 4/5 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_4.5_d7d1c153dd08497a_.log 2025-12-04T09:08:45.9317930Z Running 0 items in this shard: 2025-12-04T09:08:45.9318138Z 2025-12-04T09:08:45.9318471Z Finished inductor/test_flex_attention 4/5 ... [2025-12-04 09:08:45.931442][1128.896526567], took 0.14min 2025-12-04T09:08:45.9349245Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-59534a17c7c09acb.xml 2025-12-04T09:08:46.0029379Z Running inductor/test_flex_attention 5/5 ... [2025-12-04 09:08:46.002611][1128.96769533] 2025-12-04T09:08:46.0031512Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:46.0032812Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=5', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:46.002999] 2025-12-04T09:08:54.3747210Z 2025-12-04T09:08:54.3748192Z inductor/test_flex_attention 5/5 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_5.5_31f86dc3018f8912_.log 2025-12-04T09:08:54.3749049Z Running 0 items in this shard: 2025-12-04T09:08:54.3749404Z 2025-12-04T09:08:54.3749737Z Finished inductor/test_flex_attention 5/5 ... [2025-12-04 09:08:54.374549][1137.339634681], took 0.14min 2025-12-04T09:08:54.3781436Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_flex_attention/inductor.test_flex_attention-19df9d0735e75229.xml 2025-12-04T09:08:54.4403199Z Running inductor/test_cutlass_backend 1/1 ... [2025-12-04 09:08:54.440043][1137.405127534] 2025-12-04T09:08:54.4403762Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:54.4406766Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cutlass_backend.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:54.440419] 2025-12-04T09:09:01.5320314Z 2025-12-04T09:09:01.5321279Z 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_7bc91977f0c34aa2_.log 2025-12-04T09:09:01.5322058Z 2025-12-04T09:09:01.5322398Z Finished inductor/test_cutlass_backend 1/1 ... [2025-12-04 09:09:01.531814][1144.496898401], took 0.12min 2025-12-04T09:09:01.5358871Z Running inductor/test_benchmark_fusion 1/1 ... [2025-12-04 09:09:01.535723][1144.500809694] 2025-12-04T09:09:01.5359390Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:01.5362844Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_benchmark_fusion.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:01.536067] 2025-12-04T09:09:09.1392855Z 2025-12-04T09:09:09.1393873Z 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_a21d35b5fa3e3f06_.log 2025-12-04T09:09:09.1394769Z Running 0 items in this shard: 2025-12-04T09:09:09.1394969Z 2025-12-04T09:09:09.1395321Z Finished inductor/test_benchmark_fusion 1/1 ... [2025-12-04 09:09:09.139091][1152.104176872], took 0.13min 2025-12-04T09:09:09.1428688Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_benchmark_fusion/inductor.test_benchmark_fusion-613d49d922c8d17a.xml 2025-12-04T09:09:09.2089218Z Running inductor/test_distributed_patterns 1/1 ... [2025-12-04 09:09:09.208601][1152.173684853] 2025-12-04T09:09:09.2089814Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:09.2092186Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_distributed_patterns.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:09.208967] 2025-12-04T09:09:16.4526703Z 2025-12-04T09:09:16.4527786Z 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_d3d5e967d86710fc_.log 2025-12-04T09:09:16.4528712Z Running 0 items in this shard: 2025-12-04T09:09:16.4529219Z 2025-12-04T09:09:16.4529576Z Finished inductor/test_distributed_patterns 1/1 ... [2025-12-04 09:09:16.452495][1159.417578512], took 0.12min 2025-12-04T09:09:16.4564608Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_distributed_patterns/inductor.test_distributed_patterns-77c84d5a085db031.xml 2025-12-04T09:09:16.5300819Z Running test_sort_and_select 1/1 ... [2025-12-04 09:09:16.529774][1159.494859457] 2025-12-04T09:09:16.5301316Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:16.5303922Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_sort_and_select.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:16.530149] 2025-12-04T09:09:19.9383234Z 2025-12-04T09:09:19.9384182Z 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_8c974bbaef7f9bce_.log 2025-12-04T09:09:19.9384988Z Running 0 items in this shard: 2025-12-04T09:09:19.9385193Z 2025-12-04T09:09:19.9385482Z Finished test_sort_and_select 1/1 ... [2025-12-04 09:09:19.938158][1162.903242747], took 0.06min 2025-12-04T09:09:19.9422050Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_sort_and_select/test_sort_and_select-eb2760b4a45d64f8.xml 2025-12-04T09:09:19.9720216Z Running test_privateuseone_python_backend 1/1 ... [2025-12-04 09:09:19.971810][1162.936894965] 2025-12-04T09:09:19.9720748Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:19.9723941Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_privateuseone_python_backend.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:19.972166] 2025-12-04T09:09:22.9324592Z 2025-12-04T09:09:22.9325631Z 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_ba452c815963a672_.log 2025-12-04T09:09:22.9326551Z Running 0 items in this shard: 2025-12-04T09:09:22.9326753Z 2025-12-04T09:09:22.9327095Z Finished test_privateuseone_python_backend 1/1 ... [2025-12-04 09:09:22.932278][1165.897363698], took 0.05min 2025-12-04T09:09:22.9360567Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_privateuseone_python_backend/test_privateuseone_python_backend-39cfd8b4cc20976d.xml 2025-12-04T09:09:22.9653189Z Running test_cpp_api_parity 1/1 ... [2025-12-04 09:09:22.965064][1165.930148357] 2025-12-04T09:09:22.9653656Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:22.9656208Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cpp_api_parity.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:22.965415] 2025-12-04T09:09:30.6495103Z 2025-12-04T09:09:30.6496282Z 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_87a515a962f18c8b_.log 2025-12-04T09:09:30.6497086Z Running 0 items in this shard: 2025-12-04T09:09:30.6497294Z 2025-12-04T09:09:30.6497578Z Finished test_cpp_api_parity 1/1 ... [2025-12-04 09:09:30.649354][1173.614440163], took 0.13min 2025-12-04T09:09:30.6531606Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_api_parity/test_cpp_api_parity-22ee078df7b6ea49.xml 2025-12-04T09:09:30.7180142Z Running test_extension_utils 1/1 ... [2025-12-04 09:09:30.717754][1173.682839188] 2025-12-04T09:09:30.7182287Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:30.7183554Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_extension_utils.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:30.718107] 2025-12-04T09:09:33.6813875Z 2025-12-04T09:09:33.6814657Z test_extension_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_extension_utils_1.1_1ae5aa2dfea63a5e_.log 2025-12-04T09:09:33.6815445Z Running 0 items in this shard: 2025-12-04T09:09:33.6815651Z 2025-12-04T09:09:33.6815933Z Finished test_extension_utils 1/1 ... [2025-12-04 09:09:33.681196][1176.64628121], took 0.05min 2025-12-04T09:09:33.6852008Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_extension_utils/test_extension_utils-abee75395290d5cf.xml 2025-12-04T09:09:33.7042867Z Running test_show_pickle 1/1 ... [2025-12-04 09:09:33.704106][1176.669192773] 2025-12-04T09:09:33.7043375Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:33.7046540Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_show_pickle.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:33.704446] 2025-12-04T09:09:36.6551905Z 2025-12-04T09:09:36.6552779Z test_show_pickle 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_show_pickle_1.1_6ce5900da6d397b4_.log 2025-12-04T09:09:36.6553542Z Running 0 items in this shard: 2025-12-04T09:09:36.6553748Z 2025-12-04T09:09:36.6554008Z Finished test_show_pickle 1/1 ... [2025-12-04 09:09:36.655042][1179.620127889], took 0.05min 2025-12-04T09:09:36.6591255Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_show_pickle/test_show_pickle-a5e5266488dabbdf.xml 2025-12-04T09:09:36.6838185Z Running test_tensorexpr 1/1 ... [2025-12-04 09:09:36.683609][1179.648694926] 2025-12-04T09:09:36.6838648Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:36.6841711Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_tensorexpr.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:36.683941] 2025-12-04T09:09:39.7956180Z 2025-12-04T09:09:39.7957373Z test_tensorexpr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorexpr_1.1_28f8822c98f85956_.log 2025-12-04T09:09:39.7958950Z Running 0 items in this shard: 2025-12-04T09:09:39.7959198Z 2025-12-04T09:09:39.7959472Z Finished test_tensorexpr 1/1 ... [2025-12-04 09:09:39.795450][1182.76053506], took 0.05min 2025-12-04T09:09:39.7996971Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_tensorexpr/test_tensorexpr-5144bc77ba048866.xml 2025-12-04T09:09:39.8207743Z Running test_namedtuple_return_api 1/1 ... [2025-12-04 09:09:39.820544][1182.785629549] 2025-12-04T09:09:39.8208269Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:39.8212248Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_namedtuple_return_api.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:39.820894] 2025-12-04T09:09:42.7964886Z 2025-12-04T09:09:42.7965910Z 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_907f76b8ef6d14b2_.log 2025-12-04T09:09:42.7966757Z Running 0 items in this shard: 2025-12-04T09:09:42.7966949Z 2025-12-04T09:09:42.7967273Z Finished test_namedtuple_return_api 1/1 ... [2025-12-04 09:09:42.796307][1185.76139289], took 0.05min 2025-12-04T09:09:42.8007208Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_namedtuple_return_api/test_namedtuple_return_api-5ed79ed6cb524ca0.xml 2025-12-04T09:09:42.8292486Z Running test_fake_tensor 1/1 ... [2025-12-04 09:09:42.829011][1185.794096039] 2025-12-04T09:09:42.8292957Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:42.8295755Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_fake_tensor.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:42.829358] 2025-12-04T09:09:51.2169699Z 2025-12-04T09:09:51.2170656Z test_fake_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fake_tensor_1.1_e0d3a5b36776085d_.log 2025-12-04T09:09:51.2187098Z Running 50 items in this shard: test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to 2025-12-04T09:09:51.2202936Z 2025-12-04T09:09:51.2203200Z Finished test_fake_tensor 1/1 ... [2025-12-04 09:09:51.216842][1194.181926108], took 0.14min 2025-12-04T09:09:51.2214207Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fake_tensor/test_fake_tensor-3487141b2528e445.xml 2025-12-04T09:09:51.2939078Z Running test_multiprocessing 1/1 ... [2025-12-04 09:09:51.293591][1194.258674353] 2025-12-04T09:09:51.2939565Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:51.2942032Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_multiprocessing.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:51.293967] 2025-12-04T09:15:08.8190871Z 2025-12-04T09:15:08.8191858Z test_multiprocessing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_1.1_79f6aac720de0a7e_.log 2025-12-04T09:15:08.8227932Z Running 100 items in this shard: test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple 2025-12-04T09:15:08.8261326Z 2025-12-04T09:15:08.8261626Z Finished test_multiprocessing 1/1 ... [2025-12-04 09:15:08.818793][1511.783877286], took 5.29min 2025-12-04T09:15:08.8262702Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_multiprocessing/test_multiprocessing-3f777209a9831dbb.xml 2025-12-04T09:15:08.9096365Z Running test_autograd_fallback 1/1 ... [2025-12-04 09:15:08.909402][1511.874486569] 2025-12-04T09:15:08.9096865Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:08.9099934Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_autograd_fallback.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:15:08.909758] 2025-12-04T09:15:11.9292444Z 2025-12-04T09:15:11.9293371Z test_autograd_fallback 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autograd_fallback_1.1_3f89e9a79f3759f4_.log 2025-12-04T09:15:11.9294179Z Running 0 items in this shard: 2025-12-04T09:15:11.9294371Z 2025-12-04T09:15:11.9294662Z Finished test_autograd_fallback 1/1 ... [2025-12-04 09:15:11.929077][1514.894161481], took 0.05min 2025-12-04T09:15:11.9337957Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_autograd_fallback/test_autograd_fallback-8a04421f4d5a679c.xml 2025-12-04T09:15:11.9594299Z Running test_autocast 1/1 ... [2025-12-04 09:15:11.959208][1514.924293581] 2025-12-04T09:15:11.9594754Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:11.9597698Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_autocast.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:15:11.959556] 2025-12-04T09:15:15.3128323Z 2025-12-04T09:15:15.3129239Z test_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autocast_1.1_7b12aa3c8d4077e1_.log 2025-12-04T09:15:15.3130015Z Running 0 items in this shard: 2025-12-04T09:15:15.3130314Z 2025-12-04T09:15:15.3130568Z Finished test_autocast 1/1 ... [2025-12-04 09:15:15.312666][1518.277751611], took 0.06min 2025-12-04T09:15:15.3176490Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_autocast/test_autocast-297fa2ec943d69fd.xml 2025-12-04T09:15:15.3495466Z Running test_jit_disabled 1/1 ... [2025-12-04 09:15:15.349266][1518.314350442] 2025-12-04T09:15:15.3495994Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:15.3498396Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_jit_disabled.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:15:15.349621] 2025-12-04T09:15:18.3205794Z 2025-12-04T09:15:18.3206711Z test_jit_disabled 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_disabled_1.1_38a533eeb5b61bae_.log 2025-12-04T09:15:18.3207831Z Running 0 items in this shard: 2025-12-04T09:15:18.3208037Z 2025-12-04T09:15:18.3208316Z Finished test_jit_disabled 1/1 ... [2025-12-04 09:15:18.320412][1521.285496739], took 0.05min 2025-12-04T09:15:18.3254450Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jit_disabled/test_jit_disabled-fa749cc978194b56.xml 2025-12-04T09:15:18.3521372Z Running test_cpp_extensions_mtia_backend 1/1 ... [2025-12-04 09:15:18.351923][1521.317008564] 2025-12-04T09:15:18.3521918Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:18.3524943Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cpp_extensions_mtia_backend.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:15:18.352266] 2025-12-04T09:15:21.2966596Z 2025-12-04T09:15:21.2967618Z 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_c0bfa30126c7e5d0_.log 2025-12-04T09:15:21.2968508Z Running 0 items in this shard: 2025-12-04T09:15:21.2968712Z 2025-12-04T09:15:21.2969056Z Finished test_cpp_extensions_mtia_backend 1/1 ... [2025-12-04 09:15:21.296487][1524.261573315], took 0.05min 2025-12-04T09:15:21.3015877Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_mtia_backend/test_cpp_extensions_mtia_backend-fe49799fae960aa3.xml 2025-12-04T09:15:21.3258182Z Running functorch/test_memory_efficient_fusion 1/1 ... [2025-12-04 09:15:21.325607][1524.290692385] 2025-12-04T09:15:21.3258743Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:21.3261797Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_memory_efficient_fusion.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:15:21.325940] 2025-12-04T09:15:24.6780679Z 2025-12-04T09:15:24.6781781Z 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_bd1a7317b1253b9c_.log 2025-12-04T09:15:24.6782763Z Running 0 items in this shard: 2025-12-04T09:15:24.6782962Z 2025-12-04T09:15:24.6783333Z Finished functorch/test_memory_efficient_fusion 1/1 ... [2025-12-04 09:15:24.677897][1527.642982079], took 0.06min 2025-12-04T09:15:24.6831540Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_memory_efficient_fusion/functorch.test_memory_efficient_fusion-cf32287ecebeff95.xml 2025-12-04T09:15:24.7059529Z Running test_cpp_extensions_stream_and_event 1/1 ... [2025-12-04 09:15:24.705778][1527.670864207] 2025-12-04T09:15:24.7060076Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:24.7063435Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cpp_extensions_stream_and_event.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:15:24.706108] 2025-12-04T09:15:27.6754746Z 2025-12-04T09:15:27.6755899Z 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_ac296d01be9023d6_.log 2025-12-04T09:15:27.6756847Z Running 0 items in this shard: 2025-12-04T09:15:27.6757046Z 2025-12-04T09:15:27.6757393Z Finished test_cpp_extensions_stream_and_event 1/1 ... [2025-12-04 09:15:27.675316][1530.640401601], took 0.05min 2025-12-04T09:15:27.6806670Z 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-af84792bdc50aa5d.xml 2025-12-04T09:15:27.7074512Z Running test_dispatch 1/1 ... [2025-12-04 09:15:27.707219][1530.672304731] 2025-12-04T09:15:27.7074972Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:27.7077668Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_dispatch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:15:27.707555] 2025-12-04T09:15:30.7368847Z 2025-12-04T09:15:30.7369687Z test_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dispatch_1.1_def9e43af583d3aa_.log 2025-12-04T09:15:30.7370411Z Running 0 items in this shard: 2025-12-04T09:15:30.7370619Z 2025-12-04T09:15:30.7370873Z Finished test_dispatch 1/1 ... [2025-12-04 09:15:30.736714][1533.701798794], took 0.05min 2025-12-04T09:15:30.7422198Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dispatch/test_dispatch-0ac9e9069820c9ed.xml 2025-12-04T09:15:30.7697749Z Running nn/test_convolution 1/1 ... [2025-12-04 09:15:30.769548][1533.734632788] 2025-12-04T09:15:30.7700240Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:30.7701610Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_convolution.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:15:30.769888] 2025-12-04T09:15:35.5616852Z 2025-12-04T09:15:35.5617821Z nn/test_convolution 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_convolution_1.1_3573a9023b08bb2b_.log 2025-12-04T09:15:35.5618686Z Running 0 items in this shard: 2025-12-04T09:15:35.5618884Z 2025-12-04T09:15:35.5619190Z Finished nn/test_convolution 1/1 ... [2025-12-04 09:15:35.561505][1538.526591037], took 0.08min 2025-12-04T09:15:35.5671827Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_convolution/nn.test_convolution-e048901b91b6fffe.xml 2025-12-04T09:15:35.5948087Z Running test_cpp_extensions_jit 1/1 ... [2025-12-04 09:15:35.594611][1538.559698399] 2025-12-04T09:15:35.5948651Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:35.5951934Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cpp_extensions_jit.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:15:35.594961] 2025-12-04T09:15:38.9823202Z 2025-12-04T09:15:38.9824193Z 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_b0ca465190c3e5c9_.log 2025-12-04T09:15:38.9825088Z Running 0 items in this shard: 2025-12-04T09:15:38.9825309Z 2025-12-04T09:15:38.9825615Z Finished test_cpp_extensions_jit 1/1 ... [2025-12-04 09:15:38.982143][1541.947228801], took 0.06min 2025-12-04T09:15:38.9879656Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_jit/test_cpp_extensions_jit-b1ac900de4218871.xml 2025-12-04T09:15:39.0372195Z Running test_cuda_trace 1/1 ... [2025-12-04 09:15:39.036987][1542.002072749] 2025-12-04T09:15:39.0372667Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:39.0376029Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_trace.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:15:39.037325] 2025-12-04T09:15:41.9573384Z 2025-12-04T09:15:41.9574211Z test_cuda_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_trace_1.1_82a026e01d5943e8_.log 2025-12-04T09:15:41.9575302Z Running 0 items in this shard: 2025-12-04T09:15:41.9575493Z 2025-12-04T09:15:41.9575765Z Finished test_cuda_trace 1/1 ... [2025-12-04 09:15:41.957152][1544.922238149], took 0.05min 2025-12-04T09:15:41.9633368Z Running test_native_mha 1/1 ... [2025-12-04 09:15:41.963174][1544.928260367] 2025-12-04T09:15:41.9633835Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:41.9637133Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_native_mha.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:15:41.963510] 2025-12-04T09:15:45.2507656Z 2025-12-04T09:15:45.2508521Z test_native_mha 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_mha_1.1_704d777a3397a895_.log 2025-12-04T09:15:45.2509282Z Running 0 items in this shard: 2025-12-04T09:15:45.2509476Z 2025-12-04T09:15:45.2509728Z Finished test_native_mha 1/1 ... [2025-12-04 09:15:45.250607][1548.215691384], took 0.05min 2025-12-04T09:15:45.2565827Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_native_mha/test_native_mha-921a6ddc4ccf0518.xml 2025-12-04T09:15:45.3407024Z Running test_cuda_nvml_based_avail 1/1 ... [2025-12-04 09:15:45.340421][1548.3055051] 2025-12-04T09:15:45.3407529Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:45.3410436Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_nvml_based_avail.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:15:45.340787] 2025-12-04T09:15:48.2953648Z 2025-12-04T09:15:48.2954588Z 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_618c5376756521ff_.log 2025-12-04T09:15:48.2955424Z Running 0 items in this shard: 2025-12-04T09:15:48.2955628Z 2025-12-04T09:15:48.2955936Z Finished test_cuda_nvml_based_avail 1/1 ... [2025-12-04 09:15:48.295184][1551.260270402], took 0.05min 2025-12-04T09:15:48.3015376Z Running test_mobile_optimizer 1/1 ... [2025-12-04 09:15:48.301374][1551.266460948] 2025-12-04T09:15:48.3015857Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:48.3019064Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_mobile_optimizer.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:15:48.301698] 2025-12-04T09:15:51.9360580Z 2025-12-04T09:15:51.9362026Z test_mobile_optimizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mobile_optimizer_1.1_f5a18c68364070f3_.log 2025-12-04T09:15:51.9397856Z Running 100 items in this shard: test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures 2025-12-04T09:15:51.9431001Z 2025-12-04T09:15:51.9431299Z Finished test_mobile_optimizer 1/1 ... [2025-12-04 09:15:51.936008][1554.901093448], took 0.06min 2025-12-04T09:15:51.9432444Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_mobile_optimizer/test_mobile_optimizer-065a12da07b755a9.xml 2025-12-04T09:15:52.0193535Z Running test_cuda_primary_ctx 1/1 ... [2025-12-04 09:15:52.019047][1554.984130444] 2025-12-04T09:15:52.0194021Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:52.0196691Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_primary_ctx.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:15:52.019425] 2025-12-04T09:15:55.2901436Z 2025-12-04T09:15:55.2902353Z 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_0d3176a2179b6d33_.log 2025-12-04T09:15:55.2903446Z Running 0 items in this shard: 2025-12-04T09:15:55.2903638Z 2025-12-04T09:15:55.2903927Z Finished test_cuda_primary_ctx 1/1 ... [2025-12-04 09:15:55.289957][1558.255041681], took 0.05min 2025-12-04T09:15:55.2965059Z Running distributions/test_distributions 1/1 ... [2025-12-04 09:15:55.296347][1558.261433639] 2025-12-04T09:15:55.2965609Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:55.2969190Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'distributions/test_distributions.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:15:55.296690] 2025-12-04T09:15:59.5068005Z 2025-12-04T09:15:59.5069094Z distributions/test_distributions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_distributions_1.1_0d329e19a8857962_.log 2025-12-04T09:15:59.5088968Z Running 50 items in this shard: test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample 2025-12-04T09:15:59.5108281Z 2025-12-04T09:15:59.5108641Z Finished distributions/test_distributions 1/1 ... [2025-12-04 09:15:59.506672][1562.471756357], took 0.07min 2025-12-04T09:15:59.5128386Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/distributions.test_distributions/distributions.test_distributions-7578d4da4ad91110.xml 2025-12-04T09:15:59.6006955Z Running test_autoload_disable 1/1 ... [2025-12-04 09:15:59.600419][1562.565503261] 2025-12-04T09:15:59.9193593Z Processing /var/lib/jenkins/workspace/test/cpp_extensions 2025-12-04T09:16:02.8596214Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:16:02.8616741Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension 2025-12-04T09:16:12.7570553Z Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ done 2025-12-04T09:16:12.7824124Z [?25h Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp310-cp310-linux_x86_64.whl size=10079477 sha256=7b40137c67153ff464fac14c155ca604c195b7b2a46c2bda85e476bca34c6c08 2025-12-04T09:16:12.7825552Z Stored in directory: /tmp/pip-ephem-wheel-cache-xushl02c/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1 2025-12-04T09:16:12.7843074Z Successfully built torch_test_cpp_extension 2025-12-04T09:16:13.1408254Z Installing collected packages: torch_test_cpp_extension 2025-12-04T09:16:13.3011907Z Successfully installed torch_test_cpp_extension-0.0.0 2025-12-04T09:16:15.7011980Z 2025-12-04T09:16:15.7012383Z Running tests... 2025-12-04T09:16:15.7012757Z ---------------------------------------------------------------------- 2025-12-04T09:16:15.8686944Z . 2025-12-04T09:16:15.8687296Z ---------------------------------------------------------------------- 2025-12-04T09:16:15.8687688Z Ran 1 test in 0.168s 2025-12-04T09:16:15.8687882Z 2025-12-04T09:16:15.8687960Z OK 2025-12-04T09:16:15.8688072Z 2025-12-04T09:16:15.8688189Z Generating XML reports... 2025-12-04T09:16:16.4612676Z Finished test_autoload_disable 1/1 ... [2025-12-04 09:16:16.460937][1579.42601344], took 0.28min 2025-12-04T09:16:16.4674475Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204091615.xml 2025-12-04T09:16:16.5372424Z Running test_autoload_enable 1/1 ... [2025-12-04 09:16:16.537022][1579.502105721] 2025-12-04T09:16:16.8655987Z Processing /var/lib/jenkins/workspace/test/cpp_extensions 2025-12-04T09:16:19.8085126Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:16:19.8105783Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension 2025-12-04T09:16:29.3101920Z Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ done 2025-12-04T09:16:29.3354962Z [?25h Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp310-cp310-linux_x86_64.whl size=10079477 sha256=542d9fa27233b56d0b2df150d7c0c0021b84b5a8a30f201077e00374153eb77a 2025-12-04T09:16:29.3356657Z Stored in directory: /tmp/pip-ephem-wheel-cache-nt826wld/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1 2025-12-04T09:16:29.3374338Z Successfully built torch_test_cpp_extension 2025-12-04T09:16:29.6930733Z Installing collected packages: torch_test_cpp_extension 2025-12-04T09:16:29.8566095Z Successfully installed torch_test_cpp_extension-0.0.0 2025-12-04T09:16:32.2831916Z 2025-12-04T09:16:32.2832364Z Running tests... 2025-12-04T09:16:32.2832749Z ---------------------------------------------------------------------- 2025-12-04T09:16:32.4508724Z . 2025-12-04T09:16:32.4509074Z ---------------------------------------------------------------------- 2025-12-04T09:16:32.4509468Z Ran 1 test in 0.168s 2025-12-04T09:16:32.4509628Z 2025-12-04T09:16:32.4509720Z OK 2025-12-04T09:16:32.4509854Z 2025-12-04T09:16:32.4509963Z Generating XML reports... 2025-12-04T09:16:33.0184638Z Finished test_autoload_enable 1/1 ... [2025-12-04 09:16:33.018131][1595.98320654], took 0.27min 2025-12-04T09:16:33.0247138Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-unittest/test_autoload/TEST-TestDeviceBackendAutoload-20251204091632.xml 2025-12-04T09:16:33.0979371Z Running test_cpp_extensions_aot_ninja 1/1 ... [2025-12-04 09:16:33.097645][1596.062728684] 2025-12-04T09:16:33.4545382Z Processing /var/lib/jenkins/workspace/test/cpp_extensions 2025-12-04T09:16:36.4625725Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:16:36.4646898Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension 2025-12-04T09:16:43.4369298Z Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ done 2025-12-04T09:16:43.4461354Z [?25h Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp310-cp310-linux_x86_64.whl size=3171501 sha256=e612f17e0dc73a4a4a13e35e0d1f61d4e2f962ee0d06b2c42686356e5dae87e9 2025-12-04T09:16:43.4462862Z Stored in directory: /tmp/pip-ephem-wheel-cache-3e04mz9y/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1 2025-12-04T09:16:43.4481072Z Successfully built torch_test_cpp_extension 2025-12-04T09:16:43.8013688Z Installing collected packages: torch_test_cpp_extension 2025-12-04T09:16:43.8734494Z Successfully installed torch_test_cpp_extension-0.0.0 2025-12-04T09:16:44.2508529Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test 2025-12-04T09:16:45.8603131Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:16:45.8623564Z [?25hBuilding wheels for collected packages: no_python_abi_suffix_test 2025-12-04T09:16:47.7474182Z Building wheel for no_python_abi_suffix_test (pyproject.toml) ... [?25l- \ | done 2025-12-04T09:16:47.7480826Z [?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=2938 sha256=abd4c80822ce1412c3e428e46bcbbdb0d4f10ce14d2acd222bf968ab961c95ab 2025-12-04T09:16:47.7482596Z Stored in directory: /tmp/pip-ephem-wheel-cache-9kwk8ucc/wheels/8c/c7/11/bcf2bfbdebb3cf78b8211ac54acc945a8fdf1732548d147a80 2025-12-04T09:16:47.7499965Z Successfully built no_python_abi_suffix_test 2025-12-04T09:16:48.1008873Z Installing collected packages: no_python_abi_suffix_test 2025-12-04T09:16:48.1116315Z Successfully installed no_python_abi_suffix_test-0.0.0 2025-12-04T09:16:48.1821988Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:16:48.1825466Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cpp_extensions_aot_ninja.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:16:48.182306] 2025-12-04T09:16:51.4643847Z 2025-12-04T09:16:51.4645189Z 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_38796e284cd1447e_.log 2025-12-04T09:16:51.4646060Z Running 0 items in this shard: 2025-12-04T09:16:51.4646265Z 2025-12-04T09:16:51.4646604Z Finished test_cpp_extensions_aot_ninja 1/1 ... [2025-12-04 09:16:51.464290][1614.429374799], took 0.31min 2025-12-04T09:16:51.4707095Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cpp_extensions_aot_ninja/test_cpp_extensions_aot_ninja-9916b1ffbf480b2c.xml 2025-12-04T09:16:51.5419147Z Running test_cpp_extensions_aot_no_ninja 1/1 ... [2025-12-04 09:16:51.541674][1614.506758826] 2025-12-04T09:16:51.8635422Z Processing /var/lib/jenkins/workspace/test/cpp_extensions 2025-12-04T09:16:54.7792360Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:16:54.7812954Z [?25hBuilding wheels for collected packages: torch_test_cpp_extension 2025-12-04T09:17:04.3093382Z Building wheel for torch_test_cpp_extension (pyproject.toml) ... [?25l- \ | / - \ | / - \ done 2025-12-04T09:17:04.3346776Z [?25h Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp310-cp310-linux_x86_64.whl size=10079477 sha256=61a8230f1faecc34178be1ced6f2e6e1ce2cf2350ae679f725ef667f5bb61efc 2025-12-04T09:17:04.3348230Z Stored in directory: /tmp/pip-ephem-wheel-cache-z8okmpri/wheels/2b/79/8d/635cf291e138cfea331292ca746c62b61fade208eb55a7e3a1 2025-12-04T09:17:04.3367175Z Successfully built torch_test_cpp_extension 2025-12-04T09:17:04.6922825Z Installing collected packages: torch_test_cpp_extension 2025-12-04T09:17:04.8546904Z Successfully installed torch_test_cpp_extension-0.0.0 2025-12-04T09:17:05.2315932Z Processing /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test 2025-12-04T09:17:06.8478986Z Preparing metadata (pyproject.toml) ... [?25l- done 2025-12-04T09:17:06.8499515Z [?25hBuilding wheels for collected packages: no_python_abi_suffix_test 2025-12-04T09:17:08.6777490Z Building wheel for no_python_abi_suffix_test (pyproject.toml) ... [?25l- \ done 2025-12-04T09:17:08.6783672Z [?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=2938 sha256=faa0439ffe49c29d92b45155c2b7cf3683cebfd242afff70a1eafdf73c74635c 2025-12-04T09:17:08.6785056Z Stored in directory: /tmp/pip-ephem-wheel-cache-kjqbshj4/wheels/8c/c7/11/bcf2bfbdebb3cf78b8211ac54acc945a8fdf1732548d147a80 2025-12-04T09:17:08.6803012Z Successfully built no_python_abi_suffix_test 2025-12-04T09:17:09.0382818Z Installing collected packages: no_python_abi_suffix_test 2025-12-04T09:17:09.0489372Z Successfully installed no_python_abi_suffix_test-0.0.0 2025-12-04T09:17:09.1084046Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:17:09.1087979Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cpp_extensions_aot_no_ninja.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:17:09.108549] 2025-12-04T09:17:12.4262704Z 2025-12-04T09:17:12.4264143Z 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_48d7a52f416807c2_.log 2025-12-04T09:17:12.4265044Z Running 0 items in this shard: 2025-12-04T09:17:12.4265251Z 2025-12-04T09:17:12.4265585Z Finished test_cpp_extensions_aot_no_ninja 1/1 ... [2025-12-04 09:17:12.426189][1635.391273157], took 0.35min 2025-12-04T09:17:12.4328075Z 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-8cf11d3c4fc3e554.xml 2025-12-04T09:17:12.5007139Z Running inductor/test_collective_autotuning 1/1 ... [2025-12-04 09:17:12.500445][1635.465529616] 2025-12-04T09:17:12.5007687Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:17:12.5010306Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:17:12.500794] 2025-12-04T09:17:13.9404481Z 2025-12-04T09:17:13.9405537Z 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_2ca487f6b15dce9d_.log 2025-12-04T09:17:13.9406385Z 2025-12-04T09:17:13.9406745Z Finished inductor/test_collective_autotuning 1/1 ... [2025-12-04 09:17:13.940233][1636.905316982], took 0.02min 2025-12-04T09:17:13.9473838Z Running inductor/test_cuda_repro 1/1 ... [2025-12-04 09:17:13.947205][1636.912291979] 2025-12-04T09:17:13.9474405Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:17:13.9477650Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cuda_repro.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:17:13.947543] 2025-12-04T09:17:21.2673893Z 2025-12-04T09:17:21.2674851Z inductor/test_cuda_repro 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cuda_repro_1.1_22c2fbb840bd7f01_.log 2025-12-04T09:17:21.2675596Z 2025-12-04T09:17:21.2675903Z Finished inductor/test_cuda_repro 1/1 ... [2025-12-04 09:17:21.267176][1644.232261289], took 0.12min 2025-12-04T09:17:21.2742259Z Running inductor/test_layout_optim 1/1 ... [2025-12-04 09:17:21.274055][1644.239142751] 2025-12-04T09:17:21.2742769Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:17:21.2745932Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_layout_optim.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:17:21.274383] 2025-12-04T09:17:28.3001158Z 2025-12-04T09:17:28.3002133Z inductor/test_layout_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_layout_optim_1.1_9f2d5c5da258f76c_.log 2025-12-04T09:17:28.3002887Z 2025-12-04T09:17:28.3003203Z Finished inductor/test_layout_optim 1/1 ... [2025-12-04 09:17:28.299896][1651.264981325], took 0.12min 2025-12-04T09:17:28.3070213Z Running inductor/test_deterministic 1/1 ... [2025-12-04 09:17:28.306831][1651.271917639] 2025-12-04T09:17:28.3070731Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:17:28.3073923Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_deterministic.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:17:28.307172] 2025-12-04T09:17:35.2322433Z 2025-12-04T09:17:35.2323886Z inductor/test_deterministic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_deterministic_1.1_35e2f0299be8a760_.log 2025-12-04T09:17:35.2325030Z 2025-12-04T09:17:35.2325880Z Finished inductor/test_deterministic 1/1 ... [2025-12-04 09:17:35.232037][1658.197122619], took 0.12min 2025-12-04T09:17:35.2392788Z Running inductor/test_b2b_gemm 1/1 ... [2025-12-04 09:17:35.239070][1658.204156253] 2025-12-04T09:17:35.2393278Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:17:35.2396268Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_b2b_gemm.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:17:35.239407] 2025-12-04T09:17:42.2039313Z 2025-12-04T09:17:42.2040251Z inductor/test_b2b_gemm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_b2b_gemm_1.1_9df6092b43d6c37d_.log 2025-12-04T09:17:42.2040975Z 2025-12-04T09:17:42.2041269Z Finished inductor/test_b2b_gemm 1/1 ... [2025-12-04 09:17:42.203740][1665.168824862], took 0.12min 2025-12-04T09:17:42.2108124Z Running inductor/test_autoheuristic 1/1 ... [2025-12-04 09:17:42.210644][1665.17573108] 2025-12-04T09:17:42.2108643Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:17:42.2111870Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_autoheuristic.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:17:42.210974] 2025-12-04T09:17:49.2459716Z 2025-12-04T09:17:49.2460742Z inductor/test_autoheuristic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_autoheuristic_1.1_bbff591fefc0c526_.log 2025-12-04T09:17:49.2461499Z 2025-12-04T09:17:49.2461833Z Finished inductor/test_autoheuristic 1/1 ... [2025-12-04 09:17:49.245758][1672.210843908], took 0.12min 2025-12-04T09:17:49.2528307Z Running inductor/test_loop_ordering 1/1 ... [2025-12-04 09:17:49.252667][1672.217753894] 2025-12-04T09:17:49.2528825Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:17:49.2532073Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_loop_ordering.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:17:49.253000] 2025-12-04T09:17:56.2556557Z 2025-12-04T09:17:56.2558110Z inductor/test_loop_ordering 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_loop_ordering_1.1_7854793253f476bb_.log 2025-12-04T09:17:56.2559397Z 2025-12-04T09:17:56.2559915Z Finished inductor/test_loop_ordering 1/1 ... [2025-12-04 09:17:56.255452][1679.220537898], took 0.12min 2025-12-04T09:17:56.2625868Z Running inductor/test_coordinate_descent_tuner 1/1 ... [2025-12-04 09:17:56.262386][1679.227472821] 2025-12-04T09:17:56.2626444Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:17:56.2629273Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_coordinate_descent_tuner.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:17:56.262713] 2025-12-04T09:18:03.2255284Z 2025-12-04T09:18:03.2256321Z inductor/test_coordinate_descent_tuner 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_coordinate_descent_tuner_1.1_c488779a4908055f_.log 2025-12-04T09:18:03.2257206Z 2025-12-04T09:18:03.2257577Z Finished inductor/test_coordinate_descent_tuner 1/1 ... [2025-12-04 09:18:03.225318][1686.190402383], took 0.12min 2025-12-04T09:18:03.2324187Z Running inductor/test_control_deps 1/1 ... [2025-12-04 09:18:03.232206][1686.197293465] 2025-12-04T09:18:03.2324685Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:18:03.2327681Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:18:03.232548] 2025-12-04T09:18:10.2146617Z 2025-12-04T09:18:10.2147581Z 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_9642937ac35df251_.log 2025-12-04T09:18:10.2148638Z 2025-12-04T09:18:10.2148950Z Finished inductor/test_control_deps 1/1 ... [2025-12-04 09:18:10.214454][1693.17953891], took 0.12min 2025-12-04T09:18:10.2215922Z Running inductor/test_aot_inductor_custom_ops 1/1 ... [2025-12-04 09:18:10.221421][1693.186507847] 2025-12-04T09:18:10.2216461Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:18:10.2219659Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_aot_inductor_custom_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:18:10.221747] 2025-12-04T09:18:17.5761237Z 2025-12-04T09:18:17.5762329Z inductor/test_aot_inductor_custom_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_custom_ops_1.1_b17baad56cd3045f_.log 2025-12-04T09:18:17.5763159Z 2025-12-04T09:18:17.5763553Z Finished inductor/test_aot_inductor_custom_ops 1/1 ... [2025-12-04 09:18:17.575930][1700.541015022], took 0.12min 2025-12-04T09:18:17.5831425Z Running inductor/test_memory 1/1 ... [2025-12-04 09:18:17.582962][1700.548049448] 2025-12-04T09:18:17.5831936Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:18:17.5835099Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_memory.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:18:17.583299] 2025-12-04T09:18:24.6228862Z 2025-12-04T09:18:24.6229876Z inductor/test_memory 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_memory_1.1_7c6a69aa7f04a745_.log 2025-12-04T09:18:24.6230561Z 2025-12-04T09:18:24.6230869Z Finished inductor/test_memory 1/1 ... [2025-12-04 09:18:24.622647][1707.587732272], took 0.12min 2025-12-04T09:18:24.6297929Z Running inductor/test_pallas 1/1 ... [2025-12-04 09:18:24.629614][1707.594701198] 2025-12-04T09:18:24.6298407Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:18:24.6301571Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_pallas.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:18:24.629935] 2025-12-04T09:18:31.9777928Z 2025-12-04T09:18:31.9779360Z inductor/test_pallas 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_pallas_1.1_755c2363dcd6aaf4_.log 2025-12-04T09:18:31.9780071Z 2025-12-04T09:18:31.9780363Z Finished inductor/test_pallas 1/1 ... [2025-12-04 09:18:31.977572][1714.942657002], took 0.12min 2025-12-04T09:18:31.9848273Z Running inductor/test_fxir_backend 1/1 ... [2025-12-04 09:18:31.984595][1714.949680466] 2025-12-04T09:18:31.9848946Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:18:31.9852845Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:18:31.984993] 2025-12-04T09:18:39.1407493Z 2025-12-04T09:18:39.1408698Z 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_96a10e10ea620c67_.log 2025-12-04T09:18:39.1409434Z 2025-12-04T09:18:39.1409755Z Finished inductor/test_fxir_backend 1/1 ... [2025-12-04 09:18:39.140543][1722.105628797], took 0.12min 2025-12-04T09:18:39.1476929Z Running test_varlen_attention 1/1 ... [2025-12-04 09:18:39.147507][1722.112593479] 2025-12-04T09:18:39.1477550Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:18:39.1480971Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_varlen_attention.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:18:39.147837] 2025-12-04T09:18:42.4782848Z 2025-12-04T09:18:42.4784087Z test_varlen_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_varlen_attention_1.1_bf98c81b30b13a31_.log 2025-12-04T09:18:42.4784873Z Running 0 items in this shard: 2025-12-04T09:18:42.4785076Z 2025-12-04T09:18:42.4785360Z Finished test_varlen_attention 1/1 ... [2025-12-04 09:18:42.478089][1725.443174899], took 0.06min 2025-12-04T09:18:42.4848374Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_varlen_attention/test_varlen_attention-9f72dcc08e820806.xml 2025-12-04T09:18:42.5562704Z Running test_jiterator 1/1 ... [2025-12-04 09:18:42.555990][1725.521074884] 2025-12-04T09:18:42.5563288Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:18:42.5565918Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_jiterator.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:18:42.556326] 2025-12-04T09:18:45.8383005Z 2025-12-04T09:18:45.8384153Z test_jiterator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jiterator_1.1_712a2c9693dea1a4_.log 2025-12-04T09:18:45.8384881Z Running 0 items in this shard: 2025-12-04T09:18:45.8385093Z 2025-12-04T09:18:45.8385348Z Finished test_jiterator 1/1 ... [2025-12-04 09:18:45.838128][1728.80321393], took 0.05min 2025-12-04T09:18:45.8450055Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jiterator/test_jiterator-3a2501ec221a33f7.xml 2025-12-04T09:18:45.8724515Z Running test_ops_gradients 2/2 ... [2025-12-04 09:18:45.872243][1728.837329548] 2025-12-04T09:18:45.8725187Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:18:45.8728992Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops_gradients.py', '-m', 'serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:18:45.872638] 2025-12-04T09:18:59.7939395Z 2025-12-04T09:18:59.7940267Z test_ops_gradients 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_gradients_2.2_cd5122d4b4b59451_.log 2025-12-04T09:18:59.7941039Z Running 0 items in this shard: 2025-12-04T09:18:59.7941238Z 2025-12-04T09:18:59.7941523Z Finished test_ops_gradients 2/2 ... [2025-12-04 09:18:59.793752][1742.758838744], took 0.23min 2025-12-04T09:18:59.8008256Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_gradients/test_ops_gradients-adf24f59429f0e7c.xml 2025-12-04T09:18:59.8726997Z Running optim/test_lrscheduler 1/1 ... [2025-12-04 09:18:59.872472][1742.837558063] 2025-12-04T09:18:59.8727760Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:18:59.8730220Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'optim/test_lrscheduler.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:18:59.872798] 2025-12-04T09:19:02.7842443Z 2025-12-04T09:19:02.7843414Z optim/test_lrscheduler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_lrscheduler_1.1_fce698ed03890980_.log 2025-12-04T09:19:02.7844189Z 2025-12-04T09:19:02.7844506Z Finished optim/test_lrscheduler 1/1 ... [2025-12-04 09:19:02.784051][1745.749136538], took 0.05min 2025-12-04T09:19:02.7916800Z Running test_ops 4/6 ... [2025-12-04 09:19:02.791520][1745.756605386] 2025-12-04T09:19:02.7917229Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:19:02.7920748Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops.py', '-m', 'serial', '--shard-id=4', '--num-shards=6', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:19:02.791873] 2025-12-04T09:20:12.1439509Z 2025-12-04T09:20:12.1440337Z test_ops 4/6 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_4.6_9c94e2d29280d6b8_.log 2025-12-04T09:20:12.1441005Z Running 0 items in this shard: 2025-12-04T09:20:12.1441209Z 2025-12-04T09:20:12.1441429Z Finished test_ops 4/6 ... [2025-12-04 09:20:12.143348][1815.108431181], took 1.16min 2025-12-04T09:20:12.1506388Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-aeba308c61c14d85.xml 2025-12-04T09:20:12.2254001Z Running functorch/test_ops 2/6 ... [2025-12-04 09:20:12.225142][1815.190225729] 2025-12-04T09:20:12.2254470Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:20:12.2257457Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'serial', '--shard-id=2', '--num-shards=6', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:20:12.225520] 2025-12-04T09:20:34.5815944Z 2025-12-04T09:20:34.5816785Z functorch/test_ops 2/6 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_2.6_df43cf3b7853e474_.log 2025-12-04T09:20:34.5817556Z Running 0 items in this shard: 2025-12-04T09:20:34.5817747Z 2025-12-04T09:20:34.5818035Z Finished functorch/test_ops 2/6 ... [2025-12-04 09:20:34.581224][1837.546310216], took 0.37min 2025-12-04T09:20:34.5884751Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_ops/functorch.test_ops-7b3e7648c3feb5d5.xml 2025-12-04T09:20:34.6571043Z Running functorch/test_ops 4/6 ... [2025-12-04 09:20:34.656855][1837.621940547] 2025-12-04T09:20:34.6571554Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:20:34.6574125Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'serial', '--shard-id=4', '--num-shards=6', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:20:34.657183] 2025-12-04T09:20:57.1364287Z 2025-12-04T09:20:57.1365265Z functorch/test_ops 4/6 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_4.6_dc57bd5c13fbf5a0_.log 2025-12-04T09:20:57.1366132Z Running 0 items in this shard: 2025-12-04T09:20:57.1366328Z 2025-12-04T09:20:57.1366632Z Finished functorch/test_ops 4/6 ... [2025-12-04 09:20:57.136246][1860.101331661], took 0.37min 2025-12-04T09:20:57.1435072Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_ops/functorch.test_ops-b7e1e9c0a5bd004e.xml 2025-12-04T09:20:57.2160559Z Running functorch/test_aotdispatch 7/9 ... [2025-12-04 09:20:57.215746][1860.180831166] 2025-12-04T09:20:57.2161135Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:20:57.2163138Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'serial', '--shard-id=7', '--num-shards=9', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:20:57.216086] 2025-12-04T09:21:08.7813147Z 2025-12-04T09:21:08.7814134Z functorch/test_aotdispatch 7/9 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_7.9_13958a0eeef6cf4c_.log 2025-12-04T09:21:08.7815394Z Running 0 items in this shard: 2025-12-04T09:21:08.7815583Z 2025-12-04T09:21:08.7815910Z Finished functorch/test_aotdispatch 7/9 ... [2025-12-04 09:21:08.781121][1871.74620583], took 0.19min 2025-12-04T09:21:08.7886040Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_aotdispatch/functorch.test_aotdispatch-c6d9e17a89cf34f4.xml 2025-12-04T09:21:08.8506693Z Running test_cuda_multigpu 1/1 ... [2025-12-04 09:21:08.850421][1871.815506381] 2025-12-04T09:21:08.8507166Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:21:08.8509918Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_multigpu.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:21:08.850757] 2025-12-04T09:21:12.1019913Z 2025-12-04T09:21:12.1020810Z test_cuda_multigpu 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_multigpu_1.1_74372992a9677a2c_.log 2025-12-04T09:21:12.1021573Z Running 0 items in this shard: 2025-12-04T09:21:12.1021778Z 2025-12-04T09:21:12.1022060Z Finished test_cuda_multigpu 1/1 ... [2025-12-04 09:21:12.101823][1875.066907567], took 0.05min 2025-12-04T09:21:12.1093272Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda_multigpu/test_cuda_multigpu-229909d8664ae9f1.xml 2025-12-04T09:21:12.1366885Z Running torch_np/numpy_tests/lib/test_index_tricks 1/1 ... [2025-12-04 09:21:12.136500][1875.10158681] 2025-12-04T09:21:12.1367455Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:21:12.1370577Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_index_tricks.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:21:12.136825] 2025-12-04T09:21:15.1629861Z 2025-12-04T09:21:15.1631010Z torch_np/numpy_tests/lib/test_index_tricks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_index_tricks_1.1_b7836b6cafe5e658_.log 2025-12-04T09:21:15.1631989Z Running 0 items in this shard: 2025-12-04T09:21:15.1632182Z 2025-12-04T09:21:15.1632574Z Finished torch_np/numpy_tests/lib/test_index_tricks 1/1 ... [2025-12-04 09:21:15.162836][1878.127920616], took 0.05min 2025-12-04T09:21:15.1706709Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_index_tricks/torch_np.numpy_tests.lib.test_index_tricks-505afeee70da5586.xml 2025-12-04T09:21:15.1946815Z Running test_jit_autocast 1/1 ... [2025-12-04 09:21:15.194477][1878.159562526] 2025-12-04T09:21:15.1947297Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:21:15.1950520Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_jit_autocast.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:21:15.194806] 2025-12-04T09:21:20.4125896Z 2025-12-04T09:21:20.4126789Z test_jit_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_autocast_1.1_8b61568bafd57935_.log 2025-12-04T09:21:20.4127551Z Running 0 items in this shard: 2025-12-04T09:21:20.4127741Z 2025-12-04T09:21:20.4128020Z Finished test_jit_autocast 1/1 ... [2025-12-04 09:21:20.412424][1883.377509426], took 0.09min 2025-12-04T09:21:20.4203138Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jit_autocast/test_jit_autocast-56a36f96ec107b97.xml 2025-12-04T09:21:20.4459284Z Running nn/test_embedding 1/1 ... [2025-12-04 09:21:20.445701][1883.410785534] 2025-12-04T09:21:20.4460046Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:21:20.4462490Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_embedding.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:21:20.446033] 2025-12-04T09:21:24.0421843Z 2025-12-04T09:21:24.0422870Z nn/test_embedding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_embedding_1.1_9931d3ac7065f9d2_.log 2025-12-04T09:21:24.0423622Z Running 0 items in this shard: 2025-12-04T09:21:24.0423828Z 2025-12-04T09:21:24.0424093Z Finished nn/test_embedding 1/1 ... [2025-12-04 09:21:24.041987][1887.007072587], took 0.06min 2025-12-04T09:21:24.0500810Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_embedding/nn.test_embedding-e1b9ce9e90f9d373.xml 2025-12-04T09:21:24.0768263Z Running test_unary_ufuncs 1/1 ... [2025-12-04 09:21:24.076600][1887.041685298] 2025-12-04T09:21:24.0768738Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:21:24.0771659Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_unary_ufuncs.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:21:24.076930] 2025-12-04T09:22:14.2735078Z 2025-12-04T09:22:14.2736087Z test_unary_ufuncs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_unary_ufuncs_1.1_9364e5e690d127e5_.log 2025-12-04T09:22:14.2736893Z Running 0 items in this shard: 2025-12-04T09:22:14.2737105Z 2025-12-04T09:22:14.2737432Z Finished test_unary_ufuncs 1/1 ... [2025-12-04 09:22:14.273317][1937.238402755], took 0.84min 2025-12-04T09:22:14.2816330Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_unary_ufuncs/test_unary_ufuncs-c9528ef7f4afb4e1.xml 2025-12-04T09:22:14.3527248Z Running test_xnnpack_integration 1/1 ... [2025-12-04 09:22:14.352442][1937.317527075] 2025-12-04T09:22:14.3527777Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:14.3530203Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_xnnpack_integration.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:22:14.352780] 2025-12-04T09:22:17.4281621Z 2025-12-04T09:22:17.4282575Z test_xnnpack_integration 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_xnnpack_integration_1.1_2c34c1af6594bbfa_.log 2025-12-04T09:22:17.4283409Z Running 0 items in this shard: 2025-12-04T09:22:17.4283595Z 2025-12-04T09:22:17.4284015Z Finished test_xnnpack_integration 1/1 ... [2025-12-04 09:22:17.427977][1940.393063026], took 0.05min 2025-12-04T09:22:17.4363113Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_xnnpack_integration/test_xnnpack_integration-b15413314ebdb8eb.xml 2025-12-04T09:22:17.4623915Z Running torch_np/numpy_tests/core/test_numerictypes 1/1 ... [2025-12-04 09:22:17.462142][1940.427227121] 2025-12-04T09:22:17.4624502Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:17.4627205Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_numerictypes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:22:17.462473] 2025-12-04T09:22:20.5267109Z 2025-12-04T09:22:20.5268199Z torch_np/numpy_tests/core/test_numerictypes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_numerictypes_1.1_9c7aad1656bf5af5_.log 2025-12-04T09:22:20.5269516Z Running 0 items in this shard: 2025-12-04T09:22:20.5269709Z 2025-12-04T09:22:20.5270110Z Finished torch_np/numpy_tests/core/test_numerictypes 1/1 ... [2025-12-04 09:22:20.526521][1943.491606426], took 0.05min 2025-12-04T09:22:20.5348607Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_numerictypes/torch_np.numpy_tests.core.test_numerictypes-c6a1b3ee38e5393b.xml 2025-12-04T09:22:20.5602372Z Running test_function_schema 1/1 ... [2025-12-04 09:22:20.560022][1943.52510726] 2025-12-04T09:22:20.5602854Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:20.5605799Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_function_schema.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:22:20.560348] 2025-12-04T09:22:23.6109680Z 2025-12-04T09:22:23.6110635Z test_function_schema 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_function_schema_1.1_acb9eeb66cdc69ba_.log 2025-12-04T09:22:23.6111407Z Running 0 items in this shard: 2025-12-04T09:22:23.6111612Z 2025-12-04T09:22:23.6111893Z Finished test_function_schema 1/1 ... [2025-12-04 09:22:23.610773][1946.575858325], took 0.05min 2025-12-04T09:22:23.6193397Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_function_schema/test_function_schema-b6a0b0cf06d31eed.xml 2025-12-04T09:22:23.6410691Z Running nn/test_init 1/1 ... [2025-12-04 09:22:23.640852][1946.605937762] 2025-12-04T09:22:23.6411123Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:23.6413989Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_init.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:22:23.641190] 2025-12-04T09:22:27.0839781Z 2025-12-04T09:22:27.0840662Z nn/test_init 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_init_1.1_56ad2609ee347ba7_.log 2025-12-04T09:22:27.0841360Z Running 0 items in this shard: 2025-12-04T09:22:27.0841578Z 2025-12-04T09:22:27.0841818Z Finished nn/test_init 1/1 ... [2025-12-04 09:22:27.083797][1950.048881769], took 0.06min 2025-12-04T09:22:27.0924029Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_init/nn.test_init-06a8cac5de5ca770.xml 2025-12-04T09:22:27.1211415Z Running torch_np/numpy_tests/core/test_scalar_methods 1/1 ... [2025-12-04 09:22:27.120923][1950.086009224] 2025-12-04T09:22:27.1212001Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:27.1215117Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalar_methods.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:22:27.121256] 2025-12-04T09:22:30.1965563Z 2025-12-04T09:22:30.1966739Z torch_np/numpy_tests/core/test_scalar_methods 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalar_methods_1.1_2be3cb8c47a05348_.log 2025-12-04T09:22:30.1967731Z Running 0 items in this shard: 2025-12-04T09:22:30.1967937Z 2025-12-04T09:22:30.1968335Z Finished torch_np/numpy_tests/core/test_scalar_methods 1/1 ... [2025-12-04 09:22:30.196388][1953.161473499], took 0.05min 2025-12-04T09:22:30.2052329Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_scalar_methods/torch_np.numpy_tests.core.test_scalar_methods-a7cc64d2b0221029.xml 2025-12-04T09:22:30.2356989Z Running torch_np/numpy_tests/fft/test_helper 1/1 ... [2025-12-04 09:22:30.235477][1953.200563314] 2025-12-04T09:22:30.2357542Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:30.2360277Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/fft/test_helper.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:22:30.235803] 2025-12-04T09:22:33.2247416Z 2025-12-04T09:22:33.2248309Z torch_np/numpy_tests/fft/test_helper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.fft.test_helper_1.1_110fb0e2fbd98756_.log 2025-12-04T09:22:33.2249377Z Running 0 items in this shard: 2025-12-04T09:22:33.2249570Z 2025-12-04T09:22:33.2249936Z Finished torch_np/numpy_tests/fft/test_helper 1/1 ... [2025-12-04 09:22:33.224582][1956.189667727], took 0.05min 2025-12-04T09:22:33.2334159Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.fft.test_helper/torch_np.numpy_tests.fft.test_helper-170259f08dff15a9.xml 2025-12-04T09:22:33.2610297Z Running torch_np/test_function_base 1/1 ... [2025-12-04 09:22:33.260809][1956.225895164] 2025-12-04T09:22:33.2610888Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:33.2613587Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_function_base.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:22:33.261124] 2025-12-04T09:22:36.1689135Z 2025-12-04T09:22:36.1690082Z torch_np/test_function_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_function_base_1.1_b8b60a2e9b6a1a15_.log 2025-12-04T09:22:36.1690967Z Running 0 items in this shard: 2025-12-04T09:22:36.1691173Z 2025-12-04T09:22:36.1691493Z Finished torch_np/test_function_base 1/1 ... [2025-12-04 09:22:36.168745][1959.133831105], took 0.05min 2025-12-04T09:22:36.1777775Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_function_base/torch_np.test_function_base-ab16ca3371fd10b9.xml 2025-12-04T09:22:36.2049903Z Running test_type_promotion 1/1 ... [2025-12-04 09:22:36.204714][1959.169800108] 2025-12-04T09:22:36.2050374Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:36.2052703Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_type_promotion.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:22:36.205058] 2025-12-04T09:22:40.2373840Z 2025-12-04T09:22:40.2374817Z test_type_promotion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_promotion_1.1_14f3f118f190abbd_.log 2025-12-04T09:22:40.2375926Z Running 0 items in this shard: 2025-12-04T09:22:40.2376138Z 2025-12-04T09:22:40.2376478Z Finished test_type_promotion 1/1 ... [2025-12-04 09:22:40.237209][1963.202294064], took 0.07min 2025-12-04T09:22:40.2462601Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_type_promotion/test_type_promotion-1ba8ce05e595eb57.xml 2025-12-04T09:22:40.2689993Z Running torch_np/test_scalars_0D_arrays 1/1 ... [2025-12-04 09:22:40.268710][1963.233796378] 2025-12-04T09:22:40.2690528Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:40.2692692Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_scalars_0D_arrays.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:22:40.269036] 2025-12-04T09:22:43.2271795Z 2025-12-04T09:22:43.2272763Z torch_np/test_scalars_0D_arrays 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_scalars_0D_arrays_1.1_a2f0454af956e09f_.log 2025-12-04T09:22:43.2273747Z Running 0 items in this shard: 2025-12-04T09:22:43.2273940Z 2025-12-04T09:22:43.2274286Z Finished torch_np/test_scalars_0D_arrays 1/1 ... [2025-12-04 09:22:43.227006][1966.192092323], took 0.05min 2025-12-04T09:22:43.2363028Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_scalars_0D_arrays/torch_np.test_scalars_0D_arrays-e7c3fd4fa353d87d.xml 2025-12-04T09:22:43.2658375Z Running profiler/test_profiler_tree 1/1 ... [2025-12-04 09:22:43.265645][1966.230730619] 2025-12-04T09:22:43.2658966Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:43.2662082Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_profiler_tree.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:22:43.265979] 2025-12-04T09:22:46.2669246Z 2025-12-04T09:22:46.2670273Z profiler/test_profiler_tree 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_profiler_tree_1.1_d1b2f8da8c7a0081_.log 2025-12-04T09:22:46.2671250Z Running 0 items in this shard: 2025-12-04T09:22:46.2671442Z 2025-12-04T09:22:46.2671784Z Finished profiler/test_profiler_tree 1/1 ... [2025-12-04 09:22:46.266762][1969.231847011], took 0.05min 2025-12-04T09:22:46.2761337Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_profiler_tree/profiler.test_profiler_tree-98b965c03dce829e.xml 2025-12-04T09:22:46.2977643Z Running torch_np/numpy_tests/lib/test_arraysetops 1/1 ... [2025-12-04 09:22:46.297575][1969.262661627] 2025-12-04T09:22:46.2978318Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:46.2981207Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_arraysetops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:22:46.297884] 2025-12-04T09:22:49.3567113Z 2025-12-04T09:22:49.3568295Z torch_np/numpy_tests/lib/test_arraysetops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_arraysetops_1.1_4385b0b69db69ac8_.log 2025-12-04T09:22:49.3569351Z Running 0 items in this shard: 2025-12-04T09:22:49.3569545Z 2025-12-04T09:22:49.3569986Z Finished torch_np/numpy_tests/lib/test_arraysetops 1/1 ... [2025-12-04 09:22:49.356541][1972.321626594], took 0.05min 2025-12-04T09:22:49.3660805Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_arraysetops/torch_np.numpy_tests.lib.test_arraysetops-249192ba2a8710ae.xml 2025-12-04T09:22:49.3912687Z Running test_dlpack 1/1 ... [2025-12-04 09:22:49.391053][1972.356138453] 2025-12-04T09:22:49.3913151Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:49.3916047Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_dlpack.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:22:49.391376] 2025-12-04T09:22:52.8318387Z 2025-12-04T09:22:52.8319270Z test_dlpack 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dlpack_1.1_257fd3021931afe0_.log 2025-12-04T09:22:52.8320016Z Running 0 items in this shard: 2025-12-04T09:22:52.8320531Z 2025-12-04T09:22:52.8320770Z Finished test_dlpack 1/1 ... [2025-12-04 09:22:52.831675][1975.796761192], took 0.06min 2025-12-04T09:22:52.8413258Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dlpack/test_dlpack-3661cce183b68023.xml 2025-12-04T09:22:52.8668517Z Running profiler/test_torch_tidy 1/1 ... [2025-12-04 09:22:52.866659][1975.83174571] 2025-12-04T09:22:52.8669083Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:52.8672160Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_torch_tidy.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:22:52.866980] 2025-12-04T09:22:55.8433772Z 2025-12-04T09:22:55.8434837Z profiler/test_torch_tidy 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_torch_tidy_1.1_1c9aa8ede9013453_.log 2025-12-04T09:22:55.8435687Z Running 0 items in this shard: 2025-12-04T09:22:55.8435890Z 2025-12-04T09:22:55.8436204Z Finished profiler/test_torch_tidy 1/1 ... [2025-12-04 09:22:55.843189][1978.808273387], took 0.05min 2025-12-04T09:22:55.8529505Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_torch_tidy/profiler.test_torch_tidy-a3e1f18c557f333d.xml 2025-12-04T09:22:55.8777432Z Running lazy/test_reuse_ir 1/1 ... [2025-12-04 09:22:55.877534][1978.842618955] 2025-12-04T09:22:55.8777928Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:55.8780887Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_reuse_ir.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:22:55.877865] 2025-12-04T09:22:58.8338181Z 2025-12-04T09:22:58.8339088Z lazy/test_reuse_ir 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_reuse_ir_1.1_2698058e8e1421c6_.log 2025-12-04T09:22:58.8339853Z Running 0 items in this shard: 2025-12-04T09:22:58.8340090Z 2025-12-04T09:22:58.8340358Z Finished lazy/test_reuse_ir 1/1 ... [2025-12-04 09:22:58.833670][1981.798754954], took 0.05min 2025-12-04T09:22:58.8435881Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_reuse_ir/lazy.test_reuse_ir-2813bd32703346f6.xml 2025-12-04T09:22:58.8711549Z Running test_functional_autograd_benchmark 1/1 ... [2025-12-04 09:22:58.870959][1981.836044495] 2025-12-04T09:22:58.8712101Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:58.8715194Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_functional_autograd_benchmark.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:22:58.871293] 2025-12-04T09:23:01.8231504Z 2025-12-04T09:23:01.8232797Z test_functional_autograd_benchmark 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functional_autograd_benchmark_1.1_28abd8996eb8b1c2_.log 2025-12-04T09:23:01.8233729Z Running 0 items in this shard: 2025-12-04T09:23:01.8233923Z 2025-12-04T09:23:01.8234273Z Finished test_functional_autograd_benchmark 1/1 ... [2025-12-04 09:23:01.822984][1984.788069457], took 0.05min 2025-12-04T09:23:01.8330100Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_functional_autograd_benchmark/test_functional_autograd_benchmark-fbe2ba2eb66313d6.xml 2025-12-04T09:23:01.8577500Z Running torch_np/test_reductions 1/1 ... [2025-12-04 09:23:01.857503][1984.822587347] 2025-12-04T09:23:01.8578018Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:23:01.8580663Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_reductions.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:23:01.857837] 2025-12-04T09:23:06.7340358Z 2025-12-04T09:23:06.7341391Z torch_np/test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_reductions_1.1_5f79d8c241c78878_.log 2025-12-04T09:23:06.7342303Z Running 0 items in this shard: 2025-12-04T09:23:06.7342496Z 2025-12-04T09:23:06.7342798Z Finished torch_np/test_reductions 1/1 ... [2025-12-04 09:23:06.733864][1989.698950013], took 0.08min 2025-12-04T09:23:06.7440557Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_reductions/torch_np.test_reductions-e35b24c8ab4e01cb.xml 2025-12-04T09:23:06.7698182Z Running torch_np/numpy_tests/core/test_scalar_ctors 1/1 ... [2025-12-04 09:23:06.769583][1989.734668045] 2025-12-04T09:23:06.7698852Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:23:06.7701666Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalar_ctors.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:23:06.769916] 2025-12-04T09:23:09.8720808Z 2025-12-04T09:23:09.8722016Z torch_np/numpy_tests/core/test_scalar_ctors 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalar_ctors_1.1_fbc33d29cdc94f7e_.log 2025-12-04T09:23:09.8723052Z Running 0 items in this shard: 2025-12-04T09:23:09.8723256Z 2025-12-04T09:23:09.8723770Z Finished torch_np/numpy_tests/core/test_scalar_ctors 1/1 ... [2025-12-04 09:23:09.871896][1992.836981702], took 0.05min 2025-12-04T09:23:09.8824524Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_scalar_ctors/torch_np.numpy_tests.core.test_scalar_ctors-d926ff30ee10a3f0.xml 2025-12-04T09:23:09.9103752Z Running torch_np/numpy_tests/lib/test_arraypad 1/1 ... [2025-12-04 09:23:09.910097][1992.875180792] 2025-12-04T09:23:09.9104322Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:23:09.9106840Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_arraypad.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:23:09.910443] 2025-12-04T09:23:12.9369585Z 2025-12-04T09:23:12.9370653Z torch_np/numpy_tests/lib/test_arraypad 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_arraypad_1.1_e29b1c0f609b1fee_.log 2025-12-04T09:23:12.9371633Z Running 0 items in this shard: 2025-12-04T09:23:12.9371837Z 2025-12-04T09:23:12.9372199Z Finished torch_np/numpy_tests/lib/test_arraypad 1/1 ... [2025-12-04 09:23:12.936798][1995.901882946], took 0.05min 2025-12-04T09:23:12.9472875Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_arraypad/torch_np.numpy_tests.lib.test_arraypad-a11de505490bd4ae.xml 2025-12-04T09:23:12.9708531Z Running test_prims 1/1 ... [2025-12-04 09:23:12.970647][1995.935733607] 2025-12-04T09:23:12.9708957Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:23:12.9711768Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_prims.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:23:12.970965] 2025-12-04T09:23:17.3063597Z 2025-12-04T09:23:17.3064443Z test_prims 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_prims_1.1_f4aace4882e6deb5_.log 2025-12-04T09:23:17.3065203Z Running 0 items in this shard: 2025-12-04T09:23:17.3065456Z 2025-12-04T09:23:17.3065731Z Finished test_prims 1/1 ... [2025-12-04 09:23:17.306181][2000.271266444], took 0.07min 2025-12-04T09:23:17.3167471Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_prims/test_prims-2a4b90c39ae21757.xml 2025-12-04T09:23:17.3447879Z Running profiler/test_python_tracer 1/1 ... [2025-12-04 09:23:17.344605][2000.309690796] 2025-12-04T09:23:17.3448396Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:23:17.3451757Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_python_tracer.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:23:17.344942] 2025-12-04T09:23:20.2872059Z 2025-12-04T09:23:20.2873165Z profiler/test_python_tracer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_python_tracer_1.1_e0530f771727d5f6_.log 2025-12-04T09:23:20.2874020Z Running 0 items in this shard: 2025-12-04T09:23:20.2874229Z 2025-12-04T09:23:20.2874556Z Finished profiler/test_python_tracer 1/1 ... [2025-12-04 09:23:20.287033][2003.252118717], took 0.05min 2025-12-04T09:23:20.2978334Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_python_tracer/profiler.test_python_tracer-57c14d2ae19fb6f3.xml 2025-12-04T09:23:20.3251946Z Running cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility 1/1 ... [2025-12-04 09:23:20.324981][2003.290065414] 2025-12-04T09:23:20.3252679Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:23:20.3255985Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:23:20.325341] 2025-12-04T09:23:23.3198372Z 2025-12-04T09:23:23.3199728Z cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp_extensions.libtorch_agnostic_2_10_extension.test_version_compatibility_1.1_525c8ac0af8e126f_.log 2025-12-04T09:23:23.3201024Z Running 0 items in this shard: 2025-12-04T09:23:23.3201231Z 2025-12-04T09:23:23.3201765Z Finished cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility 1/1 ... [2025-12-04 09:23:23.319648][2006.284732807], took 0.05min 2025-12-04T09:23:23.3305441Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/cpp_extensions.libtorch_agnostic_2_10_extension.test_version_compatibility/cpp_extensions.libtorch_agnostic_2_10_extension.test_version_compatibility-44d3b7d871cc9dd5.xml 2025-12-04T09:23:23.3563356Z Running test_torchfuzz_repros 1/1 ... [2025-12-04 09:23:23.356133][2006.32121945] 2025-12-04T09:23:23.3563900Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:23:23.3566680Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_torchfuzz_repros.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:23:23.356458] 2025-12-04T09:23:26.3542545Z 2025-12-04T09:23:26.3543483Z test_torchfuzz_repros 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_torchfuzz_repros_1.1_d3b7c7a72fa7db7c_.log 2025-12-04T09:23:26.3544274Z Running 0 items in this shard: 2025-12-04T09:23:26.3544761Z 2025-12-04T09:23:26.3545053Z Finished test_torchfuzz_repros 1/1 ... [2025-12-04 09:23:26.354065][2009.319150537], took 0.05min 2025-12-04T09:23:26.3649815Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_torchfuzz_repros/test_torchfuzz_repros-96d4a9b0cdc9e189.xml 2025-12-04T09:23:29.1319898Z Running inductor/test_collective_autotuning 1/1 ... [2025-12-04 09:23:29.131565][2012.096647283] 2025-12-04T09:23:29.1320492Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:23:29.1322707Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:23:29.131972] 2025-12-04T09:23:29.1715829Z Running inductor/test_cuda_repro 1/1 ... [2025-12-04 09:23:29.171256][2012.136341257] 2025-12-04T09:23:29.1716384Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:23:29.1719384Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cuda_repro.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:23:29.171647] 2025-12-04T09:23:29.1861589Z Running inductor/test_layout_optim 1/1 ... [2025-12-04 09:23:29.185849][2012.150933398] 2025-12-04T09:23:29.1862231Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:23:29.1865800Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_layout_optim.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:23:29.186258] 2025-12-04T09:23:30.7153812Z 2025-12-04T09:23:30.7155716Z 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_ad45b525c9e1072d_.log 2025-12-04T09:23:30.7156551Z 2025-12-04T09:23:30.7156941Z Finished inductor/test_collective_autotuning 1/1 ... [2025-12-04 09:23:30.715377][2013.68046078], took 0.03min 2025-12-04T09:23:34.2332374Z Running inductor/test_deterministic 1/1 ... [2025-12-04 09:23:34.232875][2017.197958247] 2025-12-04T09:23:34.2332933Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:23:34.2335593Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_deterministic.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:23:34.233297] 2025-12-04T09:23:36.6957165Z 2025-12-04T09:23:36.6958340Z inductor/test_layout_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_layout_optim_1.1_a43829e6349a5028_.log 2025-12-04T09:23:36.6959324Z 2025-12-04T09:23:36.6959905Z Finished inductor/test_layout_optim 1/1 ... [2025-12-04 09:23:36.695481][2019.660565972], took 0.13min 2025-12-04T09:23:37.0410501Z Uploading artifacts took 0.33 seconds 2025-12-04T09:23:38.6252707Z 2025-12-04T09:23:38.6253745Z inductor/test_cuda_repro 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cuda_repro_1.1_570adc6d2d374f78_.log 2025-12-04T09:23:38.6254538Z 2025-12-04T09:23:38.6254846Z Finished inductor/test_cuda_repro 1/1 ... [2025-12-04 09:23:38.625050][2021.590135878], took 0.16min 2025-12-04T09:23:40.2995935Z Running inductor/test_b2b_gemm 1/1 ... [2025-12-04 09:23:40.299194][2023.26427793] 2025-12-04T09:23:40.2996469Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:23:40.2999757Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_b2b_gemm.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:23:40.299640] 2025-12-04T09:23:41.8765928Z 2025-12-04T09:23:41.8767469Z inductor/test_deterministic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_deterministic_1.1_838e6da4d6496bdf_.log 2025-12-04T09:23:41.8768843Z 2025-12-04T09:23:41.8769471Z Finished inductor/test_deterministic 1/1 ... [2025-12-04 09:23:41.876337][2024.841423493], took 0.13min 2025-12-04T09:23:42.2020576Z Running inductor/test_autoheuristic 1/1 ... [2025-12-04 09:23:42.201628][2025.166711497] 2025-12-04T09:23:42.2021604Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:23:42.2024475Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_autoheuristic.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:23:42.202071] 2025-12-04T09:23:45.4121253Z Running inductor/test_loop_ordering 1/1 ... [2025-12-04 09:23:45.411739][2028.376823224] 2025-12-04T09:23:45.4121858Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:23:45.4124486Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_loop_ordering.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:23:45.412156] 2025-12-04T09:23:47.9233691Z 2025-12-04T09:23:47.9234635Z inductor/test_b2b_gemm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_b2b_gemm_1.1_cfce733ba81014c2_.log 2025-12-04T09:23:47.9235349Z 2025-12-04T09:23:47.9235641Z Finished inductor/test_b2b_gemm 1/1 ... [2025-12-04 09:23:47.923164][2030.888249776], took 0.13min 2025-12-04T09:23:49.8434191Z 2025-12-04T09:23:49.8435193Z inductor/test_autoheuristic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_autoheuristic_1.1_2d66abbeac661da3_.log 2025-12-04T09:23:49.8435957Z 2025-12-04T09:23:49.8436301Z Finished inductor/test_autoheuristic 1/1 ... [2025-12-04 09:23:49.843212][2032.808295082], took 0.13min 2025-12-04T09:23:51.5195495Z Running inductor/test_coordinate_descent_tuner 1/1 ... [2025-12-04 09:23:51.519132][2034.484215787] 2025-12-04T09:23:51.5196581Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:23:51.5199189Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_coordinate_descent_tuner.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:23:51.519546] 2025-12-04T09:23:53.1659791Z 2025-12-04T09:23:53.1660790Z inductor/test_loop_ordering 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_loop_ordering_1.1_bdaa70056d6d385a_.log 2025-12-04T09:23:53.1661796Z 2025-12-04T09:23:53.1662137Z Finished inductor/test_loop_ordering 1/1 ... [2025-12-04 09:23:53.165780][2036.130863371], took 0.13min 2025-12-04T09:23:53.3925278Z Running inductor/test_control_deps 1/1 ... [2025-12-04 09:23:53.392145][2036.357228562] 2025-12-04T09:23:53.3925809Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:23:53.3928555Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:23:53.392564] 2025-12-04T09:23:56.7361687Z Running inductor/test_aot_inductor_custom_ops 1/1 ... [2025-12-04 09:23:56.735800][2039.700883835] 2025-12-04T09:23:56.7362577Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:23:56.7365172Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_aot_inductor_custom_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:23:56.736244] 2025-12-04T09:23:59.1359089Z 2025-12-04T09:23:59.1360188Z inductor/test_coordinate_descent_tuner 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_coordinate_descent_tuner_1.1_b0432de47f020153_.log 2025-12-04T09:23:59.1361037Z 2025-12-04T09:23:59.1361406Z Finished inductor/test_coordinate_descent_tuner 1/1 ... [2025-12-04 09:23:59.135668][2042.100749597], took 0.13min 2025-12-04T09:24:01.0082314Z 2025-12-04T09:24:01.0083301Z 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_e8f0d6df43668fd7_.log 2025-12-04T09:24:01.0084166Z 2025-12-04T09:24:01.0084495Z Finished inductor/test_control_deps 1/1 ... [2025-12-04 09:24:01.008011][2043.973096987], took 0.13min 2025-12-04T09:24:02.7816661Z Running inductor/test_memory 1/1 ... [2025-12-04 09:24:02.781312][2045.746395554] 2025-12-04T09:24:02.7817191Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:24:02.7819780Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_memory.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:24:02.781708] 2025-12-04T09:24:04.5465322Z Running inductor/test_pallas 1/1 ... [2025-12-04 09:24:04.546136][2047.511219772] 2025-12-04T09:24:04.5465858Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:24:04.5468532Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_pallas.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:24:04.546571] 2025-12-04T09:24:04.6897654Z 2025-12-04T09:24:04.6898761Z inductor/test_aot_inductor_custom_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_custom_ops_1.1_b847528699d29cba_.log 2025-12-04T09:24:04.6899812Z 2025-12-04T09:24:04.6900185Z Finished inductor/test_aot_inductor_custom_ops 1/1 ... [2025-12-04 09:24:04.689510][2047.65459656], took 0.13min 2025-12-04T09:24:08.2140134Z Running inductor/test_fxir_backend 1/1 ... [2025-12-04 09:24:08.213606][2051.178690375] 2025-12-04T09:24:08.2140674Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:24:08.2143312Z 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=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:24:08.214004] 2025-12-04T09:24:10.3721626Z 2025-12-04T09:24:10.3722911Z inductor/test_memory 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_memory_1.1_33e7ab9fb3b48c23_.log 2025-12-04T09:24:10.3723599Z 2025-12-04T09:24:10.3723955Z Finished inductor/test_memory 1/1 ... [2025-12-04 09:24:10.371924][2053.337009672], took 0.13min 2025-12-04T09:24:12.5026653Z 2025-12-04T09:24:12.5027608Z inductor/test_pallas 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_pallas_1.1_a82dd2b9edda7eb0_.log 2025-12-04T09:24:12.5028312Z 2025-12-04T09:24:12.5028600Z Finished inductor/test_pallas 1/1 ... [2025-12-04 09:24:12.502448][2055.467535724], took 0.13min 2025-12-04T09:24:13.9733565Z Running test_varlen_attention 1/1 ... [2025-12-04 09:24:13.972752][2056.937830844] 2025-12-04T09:24:13.9734706Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:24:13.9740532Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_varlen_attention.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:24:13.973581] 2025-12-04T09:24:16.0279949Z 2025-12-04T09:24:16.0280999Z 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_03ddc66ff075dcaa_.log 2025-12-04T09:24:16.0281759Z 2025-12-04T09:24:16.0282077Z Finished inductor/test_fxir_backend 1/1 ... [2025-12-04 09:24:16.027772][2058.992857237], took 0.13min 2025-12-04T09:24:16.0464524Z Running test_jiterator 1/1 ... [2025-12-04 09:24:16.046161][2059.011245547] 2025-12-04T09:24:16.0465295Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:24:16.0468892Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_jiterator.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:24:16.046615] 2025-12-04T09:24:17.5352523Z 2025-12-04T09:24:17.5353508Z test_varlen_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_varlen_attention_1.1_130ae9c2db1579c7_.log 2025-12-04T09:24:17.5354327Z Running 0 items in this shard: 2025-12-04T09:24:17.5354521Z 2025-12-04T09:24:17.5354808Z Finished test_varlen_attention 1/1 ... [2025-12-04 09:24:17.535181][2060.500265098], took 0.06min 2025-12-04T09:24:17.5433051Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_varlen_attention/test_varlen_attention-b4eb1596bc2fb4fd.xml 2025-12-04T09:24:19.5879052Z Running test_ops_gradients 2/2 ... [2025-12-04 09:24:19.587511][2062.552595535] 2025-12-04T09:24:19.5879579Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:24:19.5882120Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops_gradients.py', '-m', 'not serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:24:19.587939] 2025-12-04T09:24:19.6313184Z 2025-12-04T09:24:19.6314082Z test_jiterator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jiterator_1.1_5473abe8008d899e_.log 2025-12-04T09:24:19.6314815Z Running 0 items in this shard: 2025-12-04T09:24:19.6315025Z 2025-12-04T09:24:19.6315281Z Finished test_jiterator 1/1 ... [2025-12-04 09:24:19.631281][2062.596365241], took 0.06min 2025-12-04T09:24:19.6396977Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jiterator/test_jiterator-da056b3cc37ed95e.xml 2025-12-04T09:24:21.1255678Z Running optim/test_lrscheduler 1/1 ... [2025-12-04 09:24:21.125151][2064.090231478] 2025-12-04T09:24:21.1256240Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:24:21.1258251Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'optim/test_lrscheduler.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:24:21.125575] 2025-12-04T09:24:23.1962311Z Running test_ops 4/6 ... [2025-12-04 09:24:23.195877][2066.160960757] 2025-12-04T09:24:23.1962787Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:24:23.1965733Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops.py', '-m', 'not serial', '--shard-id=4', '--num-shards=6', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:24:23.196293] 2025-12-04T09:24:24.2008840Z 2025-12-04T09:24:24.2010585Z optim/test_lrscheduler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_lrscheduler_1.1_92dea2fa6e818db5_.log 2025-12-04T09:24:24.2011888Z 2025-12-04T09:24:24.2012430Z Finished optim/test_lrscheduler 1/1 ... [2025-12-04 09:24:24.200803][2067.16588906], took 0.05min 2025-12-04T09:24:27.6926518Z Running functorch/test_ops 2/6 ... [2025-12-04 09:24:27.692241][2070.657326403] 2025-12-04T09:24:27.6927012Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:24:27.6929599Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'not serial', '--shard-id=2', '--num-shards=6', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:24:27.692679] 2025-12-04T09:24:34.1558245Z 2025-12-04T09:24:34.1559319Z test_ops_gradients 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_gradients_2.2_49dfc317a5e06aa1_.log 2025-12-04T09:24:34.1560091Z Running 0 items in this shard: 2025-12-04T09:24:34.1560294Z 2025-12-04T09:24:34.1560567Z Finished test_ops_gradients 2/2 ... [2025-12-04 09:24:34.155780][2077.120865826], took 0.24min 2025-12-04T09:24:34.1645246Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_gradients/test_ops_gradients-313599985ac6cbc2.xml 2025-12-04T09:24:37.6643794Z Running functorch/test_ops 4/6 ... [2025-12-04 09:24:37.664012][2080.629096994] 2025-12-04T09:24:37.6646012Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:24:37.6647314Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'not serial', '--shard-id=4', '--num-shards=6', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:24:37.664443] 2025-12-04T09:24:50.6535772Z 2025-12-04T09:24:50.6536943Z functorch/test_ops 2/6 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_2.6_7f9acfe659d65fe8_.log 2025-12-04T09:24:50.6537732Z Running 0 items in this shard: 2025-12-04T09:24:50.6537943Z 2025-12-04T09:24:50.6538220Z Finished functorch/test_ops 2/6 ... [2025-12-04 09:24:50.653561][2093.618645083], took 0.38min 2025-12-04T09:24:50.6626068Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_ops/functorch.test_ops-b0e6d4a8d9c354e0.xml 2025-12-04T09:24:54.0043947Z Running functorch/test_aotdispatch 7/9 ... [2025-12-04 09:24:54.004006][2096.969090378] 2025-12-04T09:24:54.0044507Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:24:54.0047278Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'not serial', '--shard-id=7', '--num-shards=9', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:24:54.004410] 2025-12-04T09:25:00.5564076Z 2025-12-04T09:25:00.5565439Z functorch/test_ops 4/6 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_4.6_e57f97d0d5c1cede_.log 2025-12-04T09:25:00.5566246Z Running 0 items in this shard: 2025-12-04T09:25:00.5566441Z 2025-12-04T09:25:00.5566728Z Finished functorch/test_ops 4/6 ... [2025-12-04 09:25:00.556379][2103.521453107], took 0.38min 2025-12-04T09:25:00.5655578Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_ops/functorch.test_ops-6cdf10127c18e4a1.xml 2025-12-04T09:25:03.9307472Z Running test_cuda_multigpu 1/1 ... [2025-12-04 09:25:03.930338][2106.895421633] 2025-12-04T09:25:03.9308320Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:25:03.9310619Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_multigpu.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:25:03.930765] 2025-12-04T09:25:05.7902199Z 2025-12-04T09:25:05.7903569Z functorch/test_aotdispatch 7/9 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_7.9_e10da7467d101551_.log 2025-12-04T09:25:05.7904909Z Running 0 items in this shard: 2025-12-04T09:25:05.7905118Z 2025-12-04T09:25:05.7905435Z Finished functorch/test_aotdispatch 7/9 ... [2025-12-04 09:25:05.790283][2108.75536471], took 0.20min 2025-12-04T09:25:05.7997457Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_aotdispatch/functorch.test_aotdispatch-c2055601eb7c126e.xml 2025-12-04T09:25:07.3846036Z 2025-12-04T09:25:07.3847138Z test_cuda_multigpu 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_multigpu_1.1_6702d2a5a6fee14c_.log 2025-12-04T09:25:07.3848261Z Running 0 items in this shard: 2025-12-04T09:25:07.3848614Z 2025-12-04T09:25:07.3849300Z Finished test_cuda_multigpu 1/1 ... [2025-12-04 09:25:07.384562][2110.349647843], took 0.06min 2025-12-04T09:25:07.3941822Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda_multigpu/test_cuda_multigpu-34acd36bfac06501.xml 2025-12-04T09:25:09.2635581Z Running torch_np/numpy_tests/lib/test_index_tricks 1/1 ... [2025-12-04 09:25:09.263147][2112.228232076] 2025-12-04T09:25:09.2636321Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:25:09.2638560Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_index_tricks.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:25:09.263558] 2025-12-04T09:25:10.8181400Z Running test_jit_autocast 1/1 ... [2025-12-04 09:25:10.817760][2113.782843363] 2025-12-04T09:25:10.8181889Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:25:10.8184556Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_jit_autocast.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:25:10.818163] 2025-12-04T09:25:12.3787515Z 2025-12-04T09:25:12.3789283Z torch_np/numpy_tests/lib/test_index_tricks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_index_tricks_1.1_6baa91d65d1780d8_.log 2025-12-04T09:25:12.3790281Z Running 0 items in this shard: 2025-12-04T09:25:12.3790484Z 2025-12-04T09:25:12.3790861Z Finished torch_np/numpy_tests/lib/test_index_tricks 1/1 ... [2025-12-04 09:25:12.378696][2115.343778829], took 0.05min 2025-12-04T09:25:12.3940413Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_index_tricks/torch_np.numpy_tests.lib.test_index_tricks-6951731ee4785e18.xml 2025-12-04T09:25:15.8973402Z 2025-12-04T09:25:15.8974378Z test_jit_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_autocast_1.1_9f6a1a8f48bfa71f_.log 2025-12-04T09:25:15.8975136Z Running 0 items in this shard: 2025-12-04T09:25:15.8975345Z 2025-12-04T09:25:15.8975613Z Finished test_jit_autocast 1/1 ... [2025-12-04 09:25:15.897312][2118.862392938], took 0.08min 2025-12-04T09:25:15.9096687Z Running nn/test_embedding 1/1 ... [2025-12-04 09:25:15.909417][2118.874500711] 2025-12-04T09:25:15.9097452Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:25:15.9100792Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_embedding.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:25:15.909833] 2025-12-04T09:25:15.9131126Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jit_autocast/test_jit_autocast-1be7e8a3f3944039.xml 2025-12-04T09:25:19.3592153Z Running test_unary_ufuncs 1/1 ... [2025-12-04 09:25:19.358832][2122.323915904] 2025-12-04T09:25:19.3592675Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:25:19.3595940Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_unary_ufuncs.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:25:19.359334] 2025-12-04T09:25:19.5976230Z 2025-12-04T09:25:19.5977159Z nn/test_embedding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_embedding_1.1_65b170a8e654e4e4_.log 2025-12-04T09:25:19.5977932Z Running 0 items in this shard: 2025-12-04T09:25:19.5978124Z 2025-12-04T09:25:19.5978403Z Finished nn/test_embedding 1/1 ... [2025-12-04 09:25:19.597557][2122.562640623], took 0.06min 2025-12-04T09:25:19.6078580Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_embedding/nn.test_embedding-0f85afd5a5c651cd.xml 2025-12-04T09:25:23.0762017Z Running test_xnnpack_integration 1/1 ... [2025-12-04 09:25:23.075805][2126.040888371] 2025-12-04T09:25:23.0762574Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:25:23.0765311Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_xnnpack_integration.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:25:23.076253] 2025-12-04T09:25:26.1870342Z 2025-12-04T09:25:26.1871398Z test_xnnpack_integration 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_xnnpack_integration_1.1_bdb191fdf1fcd0ed_.log 2025-12-04T09:25:26.1872317Z Running 0 items in this shard: 2025-12-04T09:25:26.1872523Z 2025-12-04T09:25:26.1872883Z Finished test_xnnpack_integration 1/1 ... [2025-12-04 09:25:26.186976][2129.15205953], took 0.05min 2025-12-04T09:25:26.1976740Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_xnnpack_integration/test_xnnpack_integration-aef768750daf6b47.xml 2025-12-04T09:25:29.6819887Z Running torch_np/numpy_tests/core/test_numerictypes 1/1 ... [2025-12-04 09:25:29.681598][2132.646681016] 2025-12-04T09:25:29.6820513Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:25:29.6823552Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_numerictypes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:25:29.682041] 2025-12-04T09:25:32.8777963Z 2025-12-04T09:25:32.8779297Z torch_np/numpy_tests/core/test_numerictypes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_numerictypes_1.1_8e9472c80cf18da0_.log 2025-12-04T09:25:32.8780321Z Running 0 items in this shard: 2025-12-04T09:25:32.8780525Z 2025-12-04T09:25:32.8780920Z Finished torch_np/numpy_tests/core/test_numerictypes 1/1 ... [2025-12-04 09:25:32.877757][2135.842841348], took 0.05min 2025-12-04T09:25:32.8870521Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-10fe6fc22399f2ab.xml 2025-12-04T09:25:32.9689051Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_numerictypes/torch_np.numpy_tests.core.test_numerictypes-9de5667a92158dd9.xml 2025-12-04T09:25:34.1244035Z 2025-12-04T09:25:34.1245196Z test_ops 4/6 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_4.6_ba7a0eb762f997ee_.log 2025-12-04T09:25:34.1245890Z Running 0 items in this shard: 2025-12-04T09:25:34.1246098Z 2025-12-04T09:25:34.1246324Z Finished test_ops 4/6 ... [2025-12-04 09:25:34.124305][2137.089389907], took 1.18min 2025-12-04T09:25:36.3789831Z Running test_function_schema 1/1 ... [2025-12-04 09:25:36.378509][2139.343593091] 2025-12-04T09:25:36.3790346Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:25:36.3792180Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_function_schema.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:25:36.378922] 2025-12-04T09:25:37.6414226Z Running nn/test_init 1/1 ... [2025-12-04 09:25:37.641001][2140.606082597] 2025-12-04T09:25:37.6414700Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:25:37.6417535Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_init.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:25:37.641456] 2025-12-04T09:25:39.5151617Z 2025-12-04T09:25:39.5152698Z test_function_schema 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_function_schema_1.1_6fe061a38a5216ed_.log 2025-12-04T09:25:39.5153505Z Running 0 items in this shard: 2025-12-04T09:25:39.5153742Z 2025-12-04T09:25:39.5154024Z Finished test_function_schema 1/1 ... [2025-12-04 09:25:39.515188][2142.480269299], took 0.05min 2025-12-04T09:25:39.5262905Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_function_schema/test_function_schema-718a0497859e5143.xml 2025-12-04T09:25:41.2550723Z 2025-12-04T09:25:41.2551737Z nn/test_init 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_init_1.1_27533c6a01aba3d0_.log 2025-12-04T09:25:41.2552492Z Running 0 items in this shard: 2025-12-04T09:25:41.2552702Z 2025-12-04T09:25:41.2552943Z Finished nn/test_init 1/1 ... [2025-12-04 09:25:41.255031][2144.220116618], took 0.06min 2025-12-04T09:25:41.2754114Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_init/nn.test_init-2b9b43e0f4cd5a90.xml 2025-12-04T09:25:43.0580644Z Running torch_np/numpy_tests/core/test_scalar_methods 1/1 ... [2025-12-04 09:25:43.057700][2146.02278502] 2025-12-04T09:25:43.0581304Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:25:43.0584179Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalar_methods.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:25:43.058106] 2025-12-04T09:25:44.7333382Z Running torch_np/numpy_tests/fft/test_helper 1/1 ... [2025-12-04 09:25:44.732977][2147.698060335] 2025-12-04T09:25:44.7333963Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:25:44.7336641Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/fft/test_helper.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:25:44.733391] 2025-12-04T09:25:46.2727435Z 2025-12-04T09:25:46.2728938Z torch_np/numpy_tests/core/test_scalar_methods 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalar_methods_1.1_56dbf44ee8a50329_.log 2025-12-04T09:25:46.2729954Z Running 0 items in this shard: 2025-12-04T09:25:46.2730145Z 2025-12-04T09:25:46.2730539Z Finished torch_np/numpy_tests/core/test_scalar_methods 1/1 ... [2025-12-04 09:25:46.272694][2149.237777959], took 0.05min 2025-12-04T09:25:46.2906071Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_scalar_methods/torch_np.numpy_tests.core.test_scalar_methods-981b70ab5220c377.xml 2025-12-04T09:25:47.8853925Z 2025-12-04T09:25:47.8855039Z torch_np/numpy_tests/fft/test_helper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.fft.test_helper_1.1_400d9233c1e1940a_.log 2025-12-04T09:25:47.8855972Z Running 0 items in this shard: 2025-12-04T09:25:47.8856191Z 2025-12-04T09:25:47.8856553Z Finished torch_np/numpy_tests/fft/test_helper 1/1 ... [2025-12-04 09:25:47.885345][2150.850430502], took 0.05min 2025-12-04T09:25:47.8967340Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.fft.test_helper/torch_np.numpy_tests.fft.test_helper-67fbbd589a0e26f5.xml 2025-12-04T09:25:49.8331269Z Running torch_np/test_function_base 1/1 ... [2025-12-04 09:25:49.832747][2152.797831255] 2025-12-04T09:25:49.8331806Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:25:49.8334534Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_function_base.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:25:49.833163] 2025-12-04T09:25:51.3871707Z Running test_type_promotion 1/1 ... [2025-12-04 09:25:51.386761][2154.351844839] 2025-12-04T09:25:51.3872574Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:25:51.3875262Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_type_promotion.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:25:51.387220] 2025-12-04T09:25:52.9479990Z 2025-12-04T09:25:52.9480982Z torch_np/test_function_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_function_base_1.1_56154e508c18b27d_.log 2025-12-04T09:25:52.9481836Z Running 0 items in this shard: 2025-12-04T09:25:52.9482027Z 2025-12-04T09:25:52.9482351Z Finished torch_np/test_function_base 1/1 ... [2025-12-04 09:25:52.947913][2155.912997012], took 0.05min 2025-12-04T09:25:52.9597140Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_function_base/torch_np.test_function_base-f0ed2f26b0307d64.xml 2025-12-04T09:25:55.5945440Z 2025-12-04T09:25:55.5947040Z test_type_promotion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_promotion_1.1_1c73da4f77c6b91f_.log 2025-12-04T09:25:55.5948263Z Running 0 items in this shard: 2025-12-04T09:25:55.5948566Z 2025-12-04T09:25:55.5949008Z Finished test_type_promotion 1/1 ... [2025-12-04 09:25:55.594487][2158.559572334], took 0.07min 2025-12-04T09:25:55.6165143Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_type_promotion/test_type_promotion-73f506b01b838c27.xml 2025-12-04T09:25:56.3776971Z Running torch_np/test_scalars_0D_arrays 1/1 ... [2025-12-04 09:25:56.377311][2159.342393953] 2025-12-04T09:25:56.3777539Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:25:56.3780142Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_scalars_0D_arrays.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:25:56.377732] 2025-12-04T09:25:59.0625406Z Running profiler/test_profiler_tree 1/1 ... [2025-12-04 09:25:59.062182][2162.02726627] 2025-12-04T09:25:59.0625971Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:25:59.0628613Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_profiler_tree.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:25:59.062597] 2025-12-04T09:25:59.5915087Z 2025-12-04T09:25:59.5916249Z torch_np/test_scalars_0D_arrays 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_scalars_0D_arrays_1.1_3911f75e5cca7268_.log 2025-12-04T09:25:59.5917173Z Running 0 items in this shard: 2025-12-04T09:25:59.5917369Z 2025-12-04T09:25:59.5917706Z Finished torch_np/test_scalars_0D_arrays 1/1 ... [2025-12-04 09:25:59.591459][2162.556541954], took 0.05min 2025-12-04T09:25:59.6043004Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_scalars_0D_arrays/torch_np.test_scalars_0D_arrays-e15c1621c088bbde.xml 2025-12-04T09:26:02.2713314Z 2025-12-04T09:26:02.2714793Z profiler/test_profiler_tree 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_profiler_tree_1.1_429ff9f86c72c4a7_.log 2025-12-04T09:26:02.2716016Z Running 0 items in this shard: 2025-12-04T09:26:02.2716221Z 2025-12-04T09:26:02.2716541Z Finished profiler/test_profiler_tree 1/1 ... [2025-12-04 09:26:02.271358][2165.236440276], took 0.05min 2025-12-04T09:26:02.2842027Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_profiler_tree/profiler.test_profiler_tree-c4f119fb0f667528.xml 2025-12-04T09:26:03.0357186Z Running torch_np/numpy_tests/lib/test_arraysetops 1/1 ... [2025-12-04 09:26:03.035308][2166.000393337] 2025-12-04T09:26:03.0357886Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:26:03.0359693Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_arraysetops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:03.035727] 2025-12-04T09:26:05.7371925Z Running test_dlpack 1/1 ... [2025-12-04 09:26:05.736819][2168.701902862] 2025-12-04T09:26:05.7372411Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:26:05.7375376Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_dlpack.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:05.737243] 2025-12-04T09:26:06.3112283Z 2025-12-04T09:26:06.3114480Z torch_np/numpy_tests/lib/test_arraysetops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_arraysetops_1.1_b8a3551470e51100_.log 2025-12-04T09:26:06.3115490Z Running 0 items in this shard: 2025-12-04T09:26:06.3115696Z 2025-12-04T09:26:06.3116080Z Finished torch_np/numpy_tests/lib/test_arraysetops 1/1 ... [2025-12-04 09:26:06.311258][2169.276341235], took 0.05min 2025-12-04T09:26:06.3240622Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_arraysetops/torch_np.numpy_tests.lib.test_arraysetops-aff99f7419d83981.xml 2025-12-04T09:26:09.5273313Z 2025-12-04T09:26:09.5274743Z test_dlpack 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dlpack_1.1_05bde4c53c405835_.log 2025-12-04T09:26:09.5275772Z Running 0 items in this shard: 2025-12-04T09:26:09.5275979Z 2025-12-04T09:26:09.5276230Z Finished test_dlpack 1/1 ... [2025-12-04 09:26:09.527263][2172.492346953], took 0.06min 2025-12-04T09:26:09.5379765Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_unary_ufuncs/test_unary_ufuncs-bd27a76bf204d73e.xml 2025-12-04T09:26:09.5685854Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dlpack/test_dlpack-f64bd675c0f2375f.xml 2025-12-04T09:26:09.8453076Z Running profiler/test_torch_tidy 1/1 ... [2025-12-04 09:26:09.844903][2172.809987383] 2025-12-04T09:26:09.8453615Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:26:09.8456383Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_torch_tidy.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:09.845345] 2025-12-04T09:26:11.5568988Z 2025-12-04T09:26:11.5570229Z test_unary_ufuncs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_unary_ufuncs_1.1_1f083bd99ea4da6f_.log 2025-12-04T09:26:11.5571400Z Running 0 items in this shard: 2025-12-04T09:26:11.5571749Z 2025-12-04T09:26:11.5572189Z Finished test_unary_ufuncs 1/1 ... [2025-12-04 09:26:11.556744][2174.521829249], took 0.87min 2025-12-04T09:26:13.1412541Z Running lazy/test_reuse_ir 1/1 ... [2025-12-04 09:26:13.140842][2176.105926184] 2025-12-04T09:26:13.1413385Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:26:13.1415193Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_reuse_ir.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:13.141240] 2025-12-04T09:26:14.2165069Z 2025-12-04T09:26:14.2166102Z profiler/test_torch_tidy 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_torch_tidy_1.1_8a4259297c02ebb9_.log 2025-12-04T09:26:14.2185977Z Running 50 items in this shard: test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids 2025-12-04T09:26:14.2205463Z 2025-12-04T09:26:14.2205767Z Finished profiler/test_torch_tidy 1/1 ... [2025-12-04 09:26:14.216659][2177.181741404], took 0.07min 2025-12-04T09:26:14.2299851Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_torch_tidy/profiler.test_torch_tidy-d41e90c75332ff95.xml 2025-12-04T09:26:15.0814534Z Running test_functional_autograd_benchmark 1/1 ... [2025-12-04 09:26:15.081111][2178.046193791] 2025-12-04T09:26:15.0815174Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:26:15.0818485Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_functional_autograd_benchmark.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:15.081533] 2025-12-04T09:26:16.3221825Z 2025-12-04T09:26:16.3223142Z lazy/test_reuse_ir 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_reuse_ir_1.1_19a7d5281dfef0c0_.log 2025-12-04T09:26:16.3224231Z Running 0 items in this shard: 2025-12-04T09:26:16.3224592Z 2025-12-04T09:26:16.3225012Z Finished lazy/test_reuse_ir 1/1 ... [2025-12-04 09:26:16.322122][2179.287206642], took 0.05min 2025-12-04T09:26:16.3356774Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_reuse_ir/lazy.test_reuse_ir-92e4f23005e77774.xml 2025-12-04T09:26:17.7865820Z Running torch_np/test_reductions 1/1 ... [2025-12-04 09:26:17.786218][2180.751302492] 2025-12-04T09:26:17.7866388Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:26:17.7869308Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_reductions.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:17.786656] 2025-12-04T09:26:18.3076569Z 2025-12-04T09:26:18.3077707Z test_functional_autograd_benchmark 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functional_autograd_benchmark_1.1_5628fa5aaec18cb0_.log 2025-12-04T09:26:18.3078634Z Running 0 items in this shard: 2025-12-04T09:26:18.3078825Z 2025-12-04T09:26:18.3079214Z Finished test_functional_autograd_benchmark 1/1 ... [2025-12-04 09:26:18.307595][2181.272679346], took 0.05min 2025-12-04T09:26:18.3210942Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_functional_autograd_benchmark/test_functional_autograd_benchmark-be1feb2229e1d777.xml 2025-12-04T09:26:19.8931649Z Running torch_np/numpy_tests/core/test_scalar_ctors 1/1 ... [2025-12-04 09:26:19.892787][2182.857871524] 2025-12-04T09:26:19.8932250Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:26:19.8934872Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalar_ctors.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:19.893195] 2025-12-04T09:26:21.7909143Z Running torch_np/numpy_tests/lib/test_arraypad 1/1 ... [2025-12-04 09:26:21.790552][2184.755635033] 2025-12-04T09:26:21.7909770Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:26:21.7912777Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_arraypad.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:21.791000] 2025-12-04T09:26:22.9509027Z 2025-12-04T09:26:22.9509982Z torch_np/test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_reductions_1.1_887772d10e12b4f0_.log 2025-12-04T09:26:22.9511004Z Running 0 items in this shard: 2025-12-04T09:26:22.9511211Z 2025-12-04T09:26:22.9511507Z Finished torch_np/test_reductions 1/1 ... [2025-12-04 09:26:22.950963][2185.916044311], took 0.09min 2025-12-04T09:26:22.9651239Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_reductions/torch_np.test_reductions-b06de56cca981f30.xml 2025-12-04T09:26:22.9895126Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_scalar_ctors/torch_np.numpy_tests.core.test_scalar_ctors-cd8ba69ede95a0ee.xml 2025-12-04T09:26:23.1307071Z 2025-12-04T09:26:23.1308142Z torch_np/numpy_tests/core/test_scalar_ctors 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalar_ctors_1.1_92cd26ef3c9d9152_.log 2025-12-04T09:26:23.1309186Z Running 0 items in this shard: 2025-12-04T09:26:23.1309377Z 2025-12-04T09:26:23.1309771Z Finished torch_np/numpy_tests/core/test_scalar_ctors 1/1 ... [2025-12-04 09:26:23.130671][2186.095753079], took 0.05min 2025-12-04T09:26:25.0229538Z 2025-12-04T09:26:25.0230689Z torch_np/numpy_tests/lib/test_arraypad 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_arraypad_1.1_55c4e67660129e74_.log 2025-12-04T09:26:25.0231948Z Running 0 items in this shard: 2025-12-04T09:26:25.0232143Z 2025-12-04T09:26:25.0232526Z Finished torch_np/numpy_tests/lib/test_arraypad 1/1 ... [2025-12-04 09:26:25.022879][2187.987960902], took 0.05min 2025-12-04T09:26:25.0370857Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_arraypad/torch_np.numpy_tests.lib.test_arraypad-e33f17a9fb95f198.xml 2025-12-04T09:26:26.5749498Z Running test_prims 1/1 ... [2025-12-04 09:26:26.574543][2189.539627408] 2025-12-04T09:26:26.5749973Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:26:26.5752508Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_prims.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:26.575001] 2025-12-04T09:26:26.7366400Z Running profiler/test_python_tracer 1/1 ... [2025-12-04 09:26:26.736248][2189.701332361] 2025-12-04T09:26:26.7366956Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:26:26.7369656Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_python_tracer.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:26.736682] 2025-12-04T09:26:28.5231069Z Running cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility 1/1 ... [2025-12-04 09:26:28.522712][2191.487796037] 2025-12-04T09:26:28.5231827Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:26:28.5234708Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:28.523159] 2025-12-04T09:26:29.9826569Z 2025-12-04T09:26:29.9827679Z profiler/test_python_tracer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_python_tracer_1.1_2a5a30b15b7f8cb4_.log 2025-12-04T09:26:29.9828688Z Running 0 items in this shard: 2025-12-04T09:26:29.9828895Z 2025-12-04T09:26:29.9829280Z Finished profiler/test_python_tracer 1/1 ... [2025-12-04 09:26:29.982698][2192.947780312], took 0.05min 2025-12-04T09:26:30.0050041Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_python_tracer/profiler.test_python_tracer-cdf1d3032accb55c.xml 2025-12-04T09:26:31.2571719Z 2025-12-04T09:26:31.2572875Z test_prims 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_prims_1.1_fd6df800294bc5dd_.log 2025-12-04T09:26:31.2573603Z Running 0 items in this shard: 2025-12-04T09:26:31.2573811Z 2025-12-04T09:26:31.2574053Z Finished test_prims 1/1 ... [2025-12-04 09:26:31.257181][2194.222263178], took 0.08min 2025-12-04T09:26:31.2718524Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_prims/test_prims-d0e7236c473bef5b.xml 2025-12-04T09:26:31.3033735Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/cpp_extensions.libtorch_agnostic_2_10_extension.test_version_compatibility/cpp_extensions.libtorch_agnostic_2_10_extension.test_version_compatibility-5025694b3744357b.xml 2025-12-04T09:26:31.7892138Z 2025-12-04T09:26:31.7893737Z cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp_extensions.libtorch_agnostic_2_10_extension.test_version_compatibility_1.1_b96fed240a8a44ab_.log 2025-12-04T09:26:31.7895059Z Running 0 items in this shard: 2025-12-04T09:26:31.7895534Z 2025-12-04T09:26:31.7896062Z Finished cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility 1/1 ... [2025-12-04 09:26:31.789150][2194.754233291], took 0.05min 2025-12-04T09:26:33.6459512Z Running test_torchfuzz_repros 1/1 ... [2025-12-04 09:26:33.645568][2196.610652131] 2025-12-04T09:26:33.6460021Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:26:33.6462815Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_torchfuzz_repros.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:26:33.646026] 2025-12-04T09:26:36.7017440Z 2025-12-04T09:26:36.7018372Z test_torchfuzz_repros 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_torchfuzz_repros_1.1_4e09e9fddf8144c4_.log 2025-12-04T09:26:36.7019236Z Running 0 items in this shard: 2025-12-04T09:26:36.7019512Z 2025-12-04T09:26:36.7019935Z Finished test_torchfuzz_repros 1/1 ... [2025-12-04 09:26:36.701707][2199.666788356], took 0.05min 2025-12-04T09:26:36.7170754Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_torchfuzz_repros/test_torchfuzz_repros-c97c815c2ae256b2.xml 2025-12-04T09:26:37.4449904Z Running test batch 'tests to run' cost 1428.29 seconds 2025-12-04T09:26:37.4463629Z Emitting td_test_failure_stats_v2 2025-12-04T09:26:37.4466846Z Writing 1 documents to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764840397_554166c4d0f311f0a3400242ac110002 2025-12-04T09:26:37.5703980Z Done! Finish writing document to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764840397_554166c4d0f311f0a3400242ac110002 2025-12-04T09:26:37.5704792Z test_ci_sanity_check_fail 1/1 failed! 2025-12-04T09:26:38.6663836Z 2025-12-04T09:26:38.6664280Z real 23m54.348s 2025-12-04T09:26:38.6664600Z user 37m25.483s 2025-12-04T09:26:38.6664832Z sys 7m8.457s 2025-12-04T09:26:38.6676708Z + assert_git_not_dirty 2025-12-04T09:26:38.6677153Z + [[ linux-jammy-py3.10-clang12 != *rocm* ]] 2025-12-04T09:26:38.6677535Z + [[ linux-jammy-py3.10-clang12 != *xla* ]] 2025-12-04T09:26:38.6677880Z ++ git status --porcelain 2025-12-04T09:26:38.6678149Z ++ grep -v '?? third_party' 2025-12-04T09:26:57.8044882Z ++ true 2025-12-04T09:26:57.8080043Z + git_status= 2025-12-04T09:26:57.8080315Z + [[ -n '' ]] 2025-12-04T09:26:57.8080532Z + test_aten 2025-12-04T09:26:57.8080836Z + echo 'Running ATen tests with pytorch lib' 2025-12-04T09:26:57.8081207Z Running ATen tests with pytorch lib 2025-12-04T09:26:57.8081487Z + [[ -n '' ]] 2025-12-04T09:26:57.8081740Z + echo 'Running test with the build folder' 2025-12-04T09:26:57.8082078Z Running test with the build folder 2025-12-04T09:26:57.8082382Z + TEST_BASE_DIR=build/bin 2025-12-04T09:26:57.8082847Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so build/bin 2025-12-04T09:26:57.8115489Z + ln -sf '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libcaffe2*' build/bin 2025-12-04T09:26:57.8126990Z + ln -sf '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libmkldnn*' build/bin 2025-12-04T09:26:57.8137683Z + ln -sf '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libnccl*' build/bin 2025-12-04T09:26:57.8150338Z + 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 2025-12-04T09:26:57.8159920Z + ls build/bin 2025-12-04T09:26:57.8198837Z BackoffTest cpu_generator_test 2025-12-04T09:26:57.8199428Z CMakeFiles cpu_profiling_allocator_test 2025-12-04T09:26:57.8200176Z CTestTestfile.cmake cpu_rng_test 2025-12-04T09:26:57.8200639Z CppSignature_test dlconvertor_test 2025-12-04T09:26:57.8201047Z Dict_test example_allreduce 2025-12-04T09:26:57.8201389Z Dimname_test extension_backend_test 2025-12-04T09:26:57.8201719Z FileStoreTest half_test 2025-12-04T09:26:57.8202048Z HashStoreTest inline_container_test 2025-12-04T09:26:57.8202388Z IListRef_test ivalue_test 2025-12-04T09:26:57.8202801Z KernelFunction_test kernel_function_legacy_test 2025-12-04T09:26:57.8203196Z List_test kernel_function_test 2025-12-04T09:26:57.8203559Z MaybeOwned_test kernel_lambda_legacy_test 2025-12-04T09:26:57.8204013Z NamedTensor_test kernel_lambda_test 2025-12-04T09:26:57.8204408Z ProcessGroupGlooTest kernel_stackbased_test 2025-12-04T09:26:57.8204809Z StorageUtils_test lazy_tensor_test 2025-12-04T09:26:57.8205169Z TCPStoreTest legacy_vmap_test 2025-12-04T09:26:57.8205491Z apply_utils_test libc10.so 2025-12-04T09:26:57.8205797Z atest 'libcaffe2*' 2025-12-04T09:26:57.8206094Z backend_fallback_test 'libmkldnn*' 2025-12-04T09:26:57.8206403Z basic 'libnccl*' 2025-12-04T09:26:57.8206684Z broadcast_test libtorch.so 2025-12-04T09:26:57.8207026Z c10_AllocatorConfig_test libtorch_cpu.so 2025-12-04T09:26:57.8207400Z c10_ArrayRef_test libtorch_global_deps.so 2025-12-04T09:26:57.8207776Z c10_Bitset_test libtorch_python.so 2025-12-04T09:26:57.8208191Z c10_CompileTimeFunctionPointer_test libtorchbind_test.so 2025-12-04T09:26:57.8208702Z c10_ConstexprCrc_test make_boxed_from_unboxed_functor_test 2025-12-04T09:26:57.8209154Z c10_DeadlockDetection_test math_kernel_test 2025-12-04T09:26:57.8209543Z c10_DeviceGuard_test memory_format_test 2025-12-04T09:26:57.8209920Z c10_Device_test memory_overlapping_test 2025-12-04T09:26:57.8210309Z c10_DispatchKeySet_test mobile_memory_cleanup 2025-12-04T09:26:57.8210691Z c10_Enumerate_test native_test 2025-12-04T09:26:57.8211031Z c10_Half_test op_allowlist_test 2025-12-04T09:26:57.8211413Z c10_InlineDeviceGuard_test op_registration_test 2025-12-04T09:26:57.8211844Z c10_InlineStreamGuard_test operator_name_test 2025-12-04T09:26:57.8212239Z c10_IntrusiveList_test operators_test 2025-12-04T09:26:57.8212642Z c10_LeftRight_test packedtensoraccessor_test 2025-12-04T09:26:57.8213032Z c10_NetworkFlow_test parallel_benchmark 2025-12-04T09:26:57.8213382Z c10_Scalar_test pow_test 2025-12-04T09:26:57.8213683Z c10_Semaphore_test protoc 2025-12-04T09:26:57.8214005Z c10_SizesAndStrides_test protoc-3.13.0.0 2025-12-04T09:26:57.8214372Z c10_StreamGuard_test quantized_test 2025-12-04T09:26:57.8214710Z c10_SymInt_test reduce_ops_test 2025-12-04T09:26:57.8215067Z c10_Synchronized_test reportMemoryUsage_test 2025-12-04T09:26:57.8215476Z c10_ThreadLocal_test scalar_tensor_test 2025-12-04T09:26:57.8215826Z c10_TypeIndex_test scalar_test 2025-12-04T09:26:57.8216177Z c10_accumulate_test static_runtime_bench 2025-12-04T09:26:57.8216687Z c10_bfloat16_test static_runtime_test 2025-12-04T09:26:57.8217070Z c10_bit_cast_test stride_properties_test 2025-12-04T09:26:57.8217463Z c10_complex_math_test tensor_iterator_test 2025-12-04T09:26:57.8217829Z c10_complex_test test_aoti_abi_check 2025-12-04T09:26:57.8218235Z c10_cow_test test_api 2025-12-04T09:26:57.8218529Z c10_error_test test_cpp_rpc 2025-12-04T09:26:57.8218851Z c10_exception_test test_dist_autograd 2025-12-04T09:26:57.8219194Z c10_flags_test test_jit 2025-12-04T09:26:57.8219493Z c10_generic_math_test test_lazy 2025-12-04T09:26:57.8219836Z c10_intrusive_ptr_benchmark test_parallel 2025-12-04T09:26:57.8220226Z c10_intrusive_ptr_test test_vec_half_AVX2 2025-12-04T09:26:57.8220681Z c10_irange_test test_vec_half_AVX512 2025-12-04T09:26:57.8221087Z c10_lazy_test test_vec_half_DEFAULT 2025-12-04T09:26:57.8221421Z c10_logging_test thread_init_test 2025-12-04T09:26:57.8221766Z c10_nofatal_test torch_shm_manager 2025-12-04T09:26:57.8222109Z c10_optional_test type_ptr_test 2025-12-04T09:26:57.8222452Z c10_ordered_preserving_dict_test type_test 2025-12-04T09:26:57.8222833Z c10_registry_test undefined_tensor_test 2025-12-04T09:26:57.8223225Z c10_small_vector_test vec_test_all_types_AVX2 2025-12-04T09:26:57.8223609Z c10_ssize_test vec_test_all_types_AVX512 2025-12-04T09:26:57.8224014Z c10_string_util_test vec_test_all_types_DEFAULT 2025-12-04T09:26:57.8224423Z c10_string_view_test verify_api_visibility 2025-12-04T09:26:57.8224783Z c10_tempfile_test weakref_test 2025-12-04T09:26:57.8225098Z c10_typeid_test wrapdim_test 2025-12-04T09:26:57.8225425Z cmake_install.cmake xla_tensor_test 2025-12-04T09:26:57.8225758Z cpu_allocator_test 2025-12-04T09:26:57.8226004Z + aten/tools/run_tests.sh build/bin 2025-12-04T09:26:57.8226307Z + set -e 2025-12-04T09:26:57.8226535Z ++ dirname aten/tools/run_tests.sh 2025-12-04T09:26:57.8231174Z + VALGRIND_SUP=/var/lib/jenkins/workspace/aten/tools/valgrind.sup 2025-12-04T09:26:57.8231611Z + export CPP_TESTS_DIR=build/bin 2025-12-04T09:26:57.8231914Z + CPP_TESTS_DIR=build/bin 2025-12-04T09:26:57.8232170Z + VALGRIND=ON 2025-12-04T09:26:57.8233972Z + 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 2025-12-04T09:27:02.6097304Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T09:27:02.6196027Z Found test times from artifacts 2025-12-04T09:27:02.6578573Z Found test times from artifacts 2025-12-04T09:27:02.6590750Z Running all tests 2025-12-04T09:27:02.6595501Z Running parallel tests on 3 processes 2025-12-04T09:27:02.6597304Z Name: tests to run (est. time: 0.0min) 2025-12-04T09:27:02.6597694Z Serial tests (0): 2025-12-04T09:27:02.6597943Z Parallel tests (19): 2025-12-04T09:27:02.6598204Z cpp/Dict_test 1/1 2025-12-04T09:27:02.6598511Z cpp/Dimname_test 1/1 2025-12-04T09:27:02.6598783Z cpp/NamedTensor_test 1/1 2025-12-04T09:27:02.6599114Z cpp/apply_utils_test 1/1 2025-12-04T09:27:02.6599393Z cpp/atest 1/1 2025-12-04T09:27:02.6599628Z cpp/basic 1/1 2025-12-04T09:27:02.6599913Z cpp/broadcast_test 1/1 2025-12-04T09:27:02.6600196Z cpp/cpu_generator_test 1/1 2025-12-04T09:27:02.6600486Z cpp/dlconvertor_test 1/1 2025-12-04T09:27:02.6600849Z cpp/extension_backend_test 1/1 2025-12-04T09:27:02.6601155Z cpp/lazy_tensor_test 1/1 2025-12-04T09:27:02.6601497Z cpp/legacy_vmap_test 1/1 2025-12-04T09:27:02.6601760Z cpp/native_test 1/1 2025-12-04T09:27:02.6602021Z cpp/operators_test 1/1 2025-12-04T09:27:02.6602607Z cpp/scalar_tensor_test 1/1 2025-12-04T09:27:02.6602925Z cpp/scalar_test 1/1 2025-12-04T09:27:02.6603266Z cpp/tensor_iterator_test 1/1 2025-12-04T09:27:02.6603810Z cpp/undefined_tensor_test 1/1 2025-12-04T09:27:02.6604123Z cpp/wrapdim_test 1/1 2025-12-04T09:27:02.6604393Z Name: excluded (est. time: 0.0min) 2025-12-04T09:27:02.6604766Z Serial tests (0): 2025-12-04T09:27:02.6605010Z Parallel tests (0): 2025-12-04T09:27:02.6605428Z Running cpp/Dict_test 1/1 ... [2025-12-04 09:27:02.660149][2225.625236123] 2025-12-04T09:27:02.6605875Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:02.6606337Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:27:02.6606954Z Finished cpp/Dict_test 1/1 ... [2025-12-04 09:27:02.660306][2225.625396411], took 0.00min 2025-12-04T09:27:03.2172130Z Uploading artifacts took 0.54 seconds 2025-12-04T09:27:03.2172649Z Running cpp/Dimname_test 1/1 ... [2025-12-04 09:27:03.217028][2226.182114268] 2025-12-04T09:27:03.2173199Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:03.2173604Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:27:03.2174183Z Finished cpp/Dimname_test 1/1 ... [2025-12-04 09:27:03.217183][2226.182272533], took 0.00min 2025-12-04T09:27:03.2323085Z Running cpp/NamedTensor_test 1/1 ... [2025-12-04 09:27:03.232107][2226.197194674] 2025-12-04T09:27:03.2323573Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:03.2324025Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:27:03.2324618Z Finished cpp/NamedTensor_test 1/1 ... [2025-12-04 09:27:03.232263][2226.197353179], took 0.00min 2025-12-04T09:27:03.2471832Z Running cpp/apply_utils_test 1/1 ... [2025-12-04 09:27:03.247012][2226.212099567] 2025-12-04T09:27:03.2472338Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:03.2473055Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:27:03.2473680Z Finished cpp/apply_utils_test 1/1 ... [2025-12-04 09:27:03.247164][2226.212254282], took 0.00min 2025-12-04T09:27:03.2620829Z Running cpp/atest 1/1 ... [2025-12-04 09:27:03.261811][2226.226897768] 2025-12-04T09:27:03.2621503Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:03.2621895Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:27:03.2622442Z Finished cpp/atest 1/1 ... [2025-12-04 09:27:03.261955][2226.227044856], took 0.00min 2025-12-04T09:27:03.2768173Z Running cpp/basic 1/1 ... [2025-12-04 09:27:03.276637][2226.241725397] 2025-12-04T09:27:03.2768908Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:03.2769657Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:27:03.2770203Z Finished cpp/basic 1/1 ... [2025-12-04 09:27:03.276785][2226.241874279], took 0.00min 2025-12-04T09:27:03.2913040Z Running cpp/broadcast_test 1/1 ... [2025-12-04 09:27:03.291134][2226.256222824] 2025-12-04T09:27:03.2913796Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:03.2914568Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:27:03.2915135Z Finished cpp/broadcast_test 1/1 ... [2025-12-04 09:27:03.291279][2226.256369365], took 0.00min 2025-12-04T09:27:03.3058275Z Running cpp/cpu_generator_test 1/1 ... [2025-12-04 09:27:03.305667][2226.270755706] 2025-12-04T09:27:03.3059073Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:03.3059830Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:27:03.3060458Z Finished cpp/cpu_generator_test 1/1 ... [2025-12-04 09:27:03.305805][2226.270895708], took 0.00min 2025-12-04T09:27:03.3202518Z Running cpp/dlconvertor_test 1/1 ... [2025-12-04 09:27:03.320073][2226.285161123] 2025-12-04T09:27:03.3203434Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:03.3204031Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:27:03.3204624Z Finished cpp/dlconvertor_test 1/1 ... [2025-12-04 09:27:03.320215][2226.285305304], took 0.00min 2025-12-04T09:27:03.3346408Z Running cpp/extension_backend_test 1/1 ... [2025-12-04 09:27:03.334423][2226.299511952] 2025-12-04T09:27:03.3347340Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:03.3347733Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:27:03.3348356Z Finished cpp/extension_backend_test 1/1 ... [2025-12-04 09:27:03.334566][2226.299656063], took 0.00min 2025-12-04T09:27:03.3488936Z Running cpp/lazy_tensor_test 1/1 ... [2025-12-04 09:27:03.348720][2226.313808213] 2025-12-04T09:27:03.3489790Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:03.3490452Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:27:03.3491030Z Finished cpp/lazy_tensor_test 1/1 ... [2025-12-04 09:27:03.348860][2226.313950646], took 0.00min 2025-12-04T09:27:03.3631712Z Running cpp/legacy_vmap_test 1/1 ... [2025-12-04 09:27:03.363007][2226.328095467] 2025-12-04T09:27:03.3632752Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:03.3633339Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:27:03.3633936Z Finished cpp/legacy_vmap_test 1/1 ... [2025-12-04 09:27:03.363146][2226.328236765], took 0.00min 2025-12-04T09:27:03.3775824Z Running cpp/native_test 1/1 ... [2025-12-04 09:27:03.377350][2226.342437541] 2025-12-04T09:27:03.3776677Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:03.3777072Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:27:03.3777634Z Finished cpp/native_test 1/1 ... [2025-12-04 09:27:03.377501][2226.342590327], took 0.00min 2025-12-04T09:27:03.3918546Z Running cpp/operators_test 1/1 ... [2025-12-04 09:27:03.391667][2226.356754158] 2025-12-04T09:27:03.3919391Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:03.3920057Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:27:03.3920640Z Finished cpp/operators_test 1/1 ... [2025-12-04 09:27:03.391817][2226.356906976], took 0.00min 2025-12-04T09:27:03.4063575Z Running cpp/scalar_tensor_test 1/1 ... [2025-12-04 09:27:03.406124][2226.371212032] 2025-12-04T09:27:03.4064512Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:03.4064911Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:27:03.4065513Z Finished cpp/scalar_tensor_test 1/1 ... [2025-12-04 09:27:03.406278][2226.37136777], took 0.00min 2025-12-04T09:27:03.4207169Z Running cpp/scalar_test 1/1 ... [2025-12-04 09:27:03.420502][2226.385587985] 2025-12-04T09:27:03.4207989Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:03.4208494Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:27:03.4209062Z Finished cpp/scalar_test 1/1 ... [2025-12-04 09:27:03.420653][2226.385742611], took 0.00min 2025-12-04T09:27:03.4351014Z Running cpp/tensor_iterator_test 1/1 ... [2025-12-04 09:27:03.434881][2226.399968267] 2025-12-04T09:27:03.4351822Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:03.4352419Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:27:03.4353304Z Finished cpp/tensor_iterator_test 1/1 ... [2025-12-04 09:27:03.435141][2226.400229102], took 0.00min 2025-12-04T09:27:03.4496977Z Running cpp/undefined_tensor_test 1/1 ... [2025-12-04 09:27:03.449475][2226.414560952] 2025-12-04T09:27:03.4497913Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:03.4498351Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:27:03.4498963Z Finished cpp/undefined_tensor_test 1/1 ... [2025-12-04 09:27:03.449636][2226.414725487], took 0.00min 2025-12-04T09:27:03.4644098Z Running cpp/wrapdim_test 1/1 ... [2025-12-04 09:27:03.464153][2226.42923865] 2025-12-04T09:27:03.4644931Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:03.4645354Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:27:03.4645923Z Finished cpp/wrapdim_test 1/1 ... [2025-12-04 09:27:03.464321][2226.429410354], took 0.00min 2025-12-04T09:27:06.2747834Z Running cpp/Dict_test 1/1 ... [2025-12-04 09:27:06.274374][2229.239458163] 2025-12-04T09:27:06.2748326Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:06.2749887Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:27:06.2750490Z Finished cpp/Dict_test 1/1 ... [2025-12-04 09:27:06.274562][2229.239650563], took 0.00min 2025-12-04T09:27:06.2865705Z Running cpp/Dimname_test 1/1 ... [2025-12-04 09:27:06.286246][2229.251330445] 2025-12-04T09:27:06.2866199Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:06.2866593Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:27:06.2867161Z Finished cpp/Dimname_test 1/1 ... [2025-12-04 09:27:06.286455][2229.251542888], took 0.00min 2025-12-04T09:27:06.2985768Z Running cpp/NamedTensor_test 1/1 ... [2025-12-04 09:27:06.298349][2229.263430681] 2025-12-04T09:27:06.2986284Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:06.2987028Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:27:06.2987876Z Finished cpp/NamedTensor_test 1/1 ... [2025-12-04 09:27:06.298594][2229.263681694], took 0.00min 2025-12-04T09:27:09.8140245Z Running cpp/apply_utils_test 1/1 ... [2025-12-04 09:27:09.813638][2232.77872285] 2025-12-04T09:27:09.8140779Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:09.8141197Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:27:09.8141793Z Finished cpp/apply_utils_test 1/1 ... [2025-12-04 09:27:09.813810][2232.778900566], took 0.00min 2025-12-04T09:27:09.8154193Z Running cpp/atest 1/1 ... [2025-12-04 09:27:09.815248][2232.780332739] 2025-12-04T09:27:09.8154692Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:09.8155827Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:27:09.8156367Z Finished cpp/atest 1/1 ... [2025-12-04 09:27:09.815410][2232.780500345], took 0.00min 2025-12-04T09:27:09.8278538Z Running cpp/basic 1/1 ... [2025-12-04 09:27:09.827607][2232.792688528] 2025-12-04T09:27:09.8279053Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:09.8279828Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:27:09.8280372Z Finished cpp/basic 1/1 ... [2025-12-04 09:27:09.827858][2232.792943995], took 0.00min 2025-12-04T09:27:13.3002984Z Running cpp/broadcast_test 1/1 ... [2025-12-04 09:27:13.299915][2236.264999586] 2025-12-04T09:27:13.3003526Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:13.3003991Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:27:13.3004587Z Finished cpp/broadcast_test 1/1 ... [2025-12-04 09:27:13.300089][2236.265178838], took 0.00min 2025-12-04T09:27:13.3009769Z Running cpp/cpu_generator_test 1/1 ... [2025-12-04 09:27:13.300687][2236.265771946] 2025-12-04T09:27:13.3010294Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:13.3010699Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:27:13.3011306Z Finished cpp/cpu_generator_test 1/1 ... [2025-12-04 09:27:13.300852][2236.265942639], took 0.00min 2025-12-04T09:27:13.3020705Z Running cpp/dlconvertor_test 1/1 ... [2025-12-04 09:27:13.301886][2236.266968381] 2025-12-04T09:27:13.3021177Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:13.3022528Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:27:13.3023127Z Finished cpp/dlconvertor_test 1/1 ... [2025-12-04 09:27:13.302128][2236.267216504], took 0.00min 2025-12-04T09:27:16.7905286Z Running cpp/extension_backend_test 1/1 ... [2025-12-04 09:27:16.790154][2239.755238572] 2025-12-04T09:27:16.7905926Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:16.7906377Z Running cpp/lazy_tensor_test 1/1 ... [2025-12-04 09:27:16.790178][2239.755262232] 2025-12-04T09:27:16.7906845Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:16.7907241Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:27:16.7907744Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:27:16.7908324Z Finished cpp/lazy_tensor_test 1/1 ... [2025-12-04 09:27:16.790346][2239.755435427], took 0.00min 2025-12-04T09:27:16.7909039Z Finished cpp/extension_backend_test 1/1 ... [2025-12-04 09:27:16.790347][2239.7554365], took 0.00min 2025-12-04T09:27:16.7920898Z Running cpp/legacy_vmap_test 1/1 ... [2025-12-04 09:27:16.791844][2239.756928399] 2025-12-04T09:27:16.7921436Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:16.7921940Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:27:16.7922532Z Finished cpp/legacy_vmap_test 1/1 ... [2025-12-04 09:27:16.792008][2239.757097717], took 0.00min 2025-12-04T09:27:20.2790727Z Running cpp/native_test 1/1 ... [2025-12-04 09:27:20.278693][2243.243777946] 2025-12-04T09:27:20.2791410Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:20.2791930Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:27:20.2792762Z Finished cpp/native_test 1/1 ... [2025-12-04 09:27:20.278864][2243.243953951], took 0.00min 2025-12-04T09:27:20.2823062Z Running cpp/operators_test 1/1 ... [2025-12-04 09:27:20.282063][2243.247147267] 2025-12-04T09:27:20.2824208Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:20.2824666Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:27:20.2825465Z Finished cpp/operators_test 1/1 ... [2025-12-04 09:27:20.282234][2243.247323791], took 0.00min 2025-12-04T09:27:20.2876360Z Running cpp/scalar_tensor_test 1/1 ... [2025-12-04 09:27:20.287387][2243.252471562] 2025-12-04T09:27:20.2877199Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:20.2877887Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:27:20.2878781Z Finished cpp/scalar_tensor_test 1/1 ... [2025-12-04 09:27:20.287555][2243.252644964], took 0.00min 2025-12-04T09:27:23.7968831Z Running cpp/scalar_test 1/1 ... [2025-12-04 09:27:23.796491][2246.761575824] 2025-12-04T09:27:23.7969486Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:23.7970026Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:27:23.7970866Z Finished cpp/scalar_test 1/1 ... [2025-12-04 09:27:23.796662][2246.761752676], took 0.00min 2025-12-04T09:27:23.7997173Z Running cpp/tensor_iterator_test 1/1 ... [2025-12-04 09:27:23.799472][2246.764557091] 2025-12-04T09:27:23.7997868Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:23.7998548Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:27:23.7999338Z Finished cpp/tensor_iterator_test 1/1 ... [2025-12-04 09:27:23.799651][2246.764740555], took 0.00min 2025-12-04T09:27:23.8064957Z Running cpp/undefined_tensor_test 1/1 ... [2025-12-04 09:27:23.806212][2246.771294202] 2025-12-04T09:27:23.8065720Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:23.8066322Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:27:23.8067334Z Finished cpp/undefined_tensor_test 1/1 ... [2025-12-04 09:27:23.806438][2246.771526653], took 0.00min 2025-12-04T09:27:27.3082725Z Running cpp/wrapdim_test 1/1 ... [2025-12-04 09:27:27.307882][2250.272965615] 2025-12-04T09:27:27.3083488Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:27:27.3084142Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:27:27.3085113Z Finished cpp/wrapdim_test 1/1 ... [2025-12-04 09:27:27.308060][2250.27315054], took 0.00min 2025-12-04T09:27:28.0416958Z Running test batch 'tests to run' cost 25.38 seconds 2025-12-04T09:27:28.7304909Z + run_if_exists tensor_interop_test 2025-12-04T09:27:28.7305346Z + local test_name=tensor_interop_test 2025-12-04T09:27:28.7305687Z + [[ -x build/bin/tensor_interop_test ]] 2025-12-04T09:27:28.7306069Z + echo 'Warning: tensor_interop_test does not exist.' 2025-12-04T09:27:28.7306453Z Warning: tensor_interop_test does not exist. 2025-12-04T09:27:28.7306794Z + run_if_exists cudnn_test 2025-12-04T09:27:28.7307070Z + local test_name=cudnn_test 2025-12-04T09:27:28.7307345Z + [[ -x build/bin/cudnn_test ]] 2025-12-04T09:27:28.7307654Z + echo 'Warning: cudnn_test does not exist.' 2025-12-04T09:27:28.7307990Z Warning: cudnn_test does not exist. 2025-12-04T09:27:28.7308319Z + run_if_exists cuda_generator_test 2025-12-04T09:27:28.7308634Z + local test_name=cuda_generator_test 2025-12-04T09:27:28.7308957Z + [[ -x build/bin/cuda_generator_test ]] 2025-12-04T09:27:28.7309602Z + echo 'Warning: cuda_generator_test does not exist.' 2025-12-04T09:27:28.7310010Z Warning: cuda_generator_test does not exist. 2025-12-04T09:27:28.7310359Z + run_if_exists apply_test 2025-12-04T09:27:28.7310645Z + local test_name=apply_test 2025-12-04T09:27:28.7310925Z + [[ -x build/bin/apply_test ]] 2025-12-04T09:27:28.7311243Z + echo 'Warning: apply_test does not exist.' 2025-12-04T09:27:28.7311589Z Warning: apply_test does not exist. 2025-12-04T09:27:28.7311882Z + run_if_exists stream_test 2025-12-04T09:27:28.7312158Z + local test_name=stream_test 2025-12-04T09:27:28.7312451Z + [[ -x build/bin/stream_test ]] 2025-12-04T09:27:28.7312759Z + echo 'Warning: stream_test does not exist.' 2025-12-04T09:27:28.7313103Z Warning: stream_test does not exist. 2025-12-04T09:27:28.7313413Z + run_if_exists cuda_half_test 2025-12-04T09:27:28.7313819Z + local test_name=cuda_half_test 2025-12-04T09:27:28.7315302Z + [[ -x build/bin/cuda_half_test ]] 2025-12-04T09:27:28.7315655Z + echo 'Warning: cuda_half_test does not exist.' 2025-12-04T09:27:28.7316028Z Warning: cuda_half_test does not exist. 2025-12-04T09:27:28.7316346Z + run_if_exists cuda_vectorized_test 2025-12-04T09:27:28.7316670Z + local test_name=cuda_vectorized_test 2025-12-04T09:27:28.7317013Z + [[ -x build/bin/cuda_vectorized_test ]] 2025-12-04T09:27:28.7317403Z + echo 'Warning: cuda_vectorized_test does not exist.' 2025-12-04T09:27:28.7317788Z Warning: cuda_vectorized_test does not exist. 2025-12-04T09:27:28.7318151Z + run_if_exists cuda_distributions_test 2025-12-04T09:27:28.7318495Z + local test_name=cuda_distributions_test 2025-12-04T09:27:28.7318837Z + [[ -x build/bin/cuda_distributions_test ]] 2025-12-04T09:27:28.7319235Z + echo 'Warning: cuda_distributions_test does not exist.' 2025-12-04T09:27:28.7319660Z Warning: cuda_distributions_test does not exist. 2025-12-04T09:27:28.7320019Z + run_if_exists cuda_optional_test 2025-12-04T09:27:28.7320341Z + local test_name=cuda_optional_test 2025-12-04T09:27:28.7320668Z + [[ -x build/bin/cuda_optional_test ]] 2025-12-04T09:27:28.7321042Z + echo 'Warning: cuda_optional_test does not exist.' 2025-12-04T09:27:28.7321433Z Warning: cuda_optional_test does not exist. 2025-12-04T09:27:28.7321788Z + run_if_exists cuda_tensor_interop_test 2025-12-04T09:27:28.7322135Z + local test_name=cuda_tensor_interop_test 2025-12-04T09:27:28.7322477Z + [[ -x build/bin/cuda_tensor_interop_test ]] 2025-12-04T09:27:28.7322880Z + echo 'Warning: cuda_tensor_interop_test does not exist.' 2025-12-04T09:27:28.7323307Z Warning: cuda_tensor_interop_test does not exist. 2025-12-04T09:27:28.7323768Z + run_if_exists cuda_complex_test 2025-12-04T09:27:28.7324067Z + local test_name=cuda_complex_test 2025-12-04T09:27:28.7324388Z + [[ -x build/bin/cuda_complex_test ]] 2025-12-04T09:27:28.7324747Z + echo 'Warning: cuda_complex_test does not exist.' 2025-12-04T09:27:28.7325123Z Warning: cuda_complex_test does not exist. 2025-12-04T09:27:28.7325469Z + run_if_exists cuda_complex_math_test 2025-12-04T09:27:28.7325794Z + local test_name=cuda_complex_math_test 2025-12-04T09:27:28.7326120Z + [[ -x build/bin/cuda_complex_math_test ]] 2025-12-04T09:27:28.7326506Z + echo 'Warning: cuda_complex_math_test does not exist.' 2025-12-04T09:27:28.7326910Z Warning: cuda_complex_math_test does not exist. 2025-12-04T09:27:28.7327256Z + run_if_exists cuda_cub_test 2025-12-04T09:27:28.7327531Z + local test_name=cuda_cub_test 2025-12-04T09:27:28.7327824Z + [[ -x build/bin/cuda_cub_test ]] 2025-12-04T09:27:28.7328152Z + echo 'Warning: cuda_cub_test does not exist.' 2025-12-04T09:27:28.7328493Z Warning: cuda_cub_test does not exist. 2025-12-04T09:27:28.7328823Z + run_if_exists cuda_atomic_ops_test 2025-12-04T09:27:28.7329143Z + local test_name=cuda_atomic_ops_test 2025-12-04T09:27:28.7329456Z + [[ -x build/bin/cuda_atomic_ops_test ]] 2025-12-04T09:27:28.7329831Z + echo 'Warning: cuda_atomic_ops_test does not exist.' 2025-12-04T09:27:28.7330233Z Warning: cuda_atomic_ops_test does not exist. 2025-12-04T09:27:28.7330572Z + run_if_exists cuda_allocator_test 2025-12-04T09:27:28.7330889Z + local test_name=cuda_allocator_test 2025-12-04T09:27:28.7331320Z + [[ -x build/bin/cuda_allocator_test ]] 2025-12-04T09:27:28.7331692Z + echo 'Warning: cuda_allocator_test does not exist.' 2025-12-04T09:27:28.7332067Z Warning: cuda_allocator_test does not exist. 2025-12-04T09:27:28.7332389Z + '[' ON == ON ']' 2025-12-04T09:27:28.7333089Z + valgrind --suppressions=/var/lib/jenkins/workspace/aten/tools/valgrind.sup --error-exitcode=1 build/bin/basic '--gtest_filter=-*CUDA' 2025-12-04T09:27:28.7599430Z ==11912== Memcheck, a memory error detector 2025-12-04T09:27:28.7599932Z ==11912== Copyright (C) 2002-2022, and GNU GPL'd, by Julian Seward et al. 2025-12-04T09:27:28.7600516Z ==11912== Using Valgrind-3.20.0 and LibVEX; rerun with -h for copyright info 2025-12-04T09:27:28.7601035Z ==11912== Command: build/bin/basic --gtest_filter=-*CUDA 2025-12-04T09:27:28.7601623Z ==11912== 2025-12-04T09:27:29.1813958Z ==11912== Warning: set address range perms: large range [0x4a13000, 0x19ca2000) (defined) 2025-12-04T09:27:29.1814698Z ==11912== Warning: set address range perms: large range [0x5cf4000, 0x16cf4000) (defined) 2025-12-04T09:27:52.5097505Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc 2025-12-04T09:27:52.5388322Z Note: Google Test filter = -*CUDA 2025-12-04T09:27:52.5451029Z [==========] Running 6 tests from 1 test suite. 2025-12-04T09:27:52.5477507Z [----------] Global test environment set-up. 2025-12-04T09:27:52.5544456Z [----------] 6 tests from BasicTest 2025-12-04T09:27:52.5568160Z [ RUN ] BasicTest.BasicTestCPU 2025-12-04T09:27:54.0417611Z 617 ms 2025-12-04T09:27:54.1198098Z 49 ms 2025-12-04T09:27:54.1835122Z 56 ms 2025-12-04T09:27:55.6713250Z [ OK ] BasicTest.BasicTestCPU (3112 ms) 2025-12-04T09:27:55.6720428Z [ RUN ] BasicTest.BasicTestHalfCPU 2025-12-04T09:27:55.9494508Z 192 ms 2025-12-04T09:27:55.9983461Z 41 ms 2025-12-04T09:27:56.0560750Z 55 ms 2025-12-04T09:27:56.1035626Z [ OK ] BasicTest.BasicTestHalfCPU (390 ms) 2025-12-04T09:27:56.1036064Z [ RUN ] BasicTest.FactoryMethodsTest 2025-12-04T09:27:56.1343233Z [ OK ] BasicTest.FactoryMethodsTest (30 ms) 2025-12-04T09:27:56.1343639Z [ RUN ] BasicTest.BasicStdTestCPU 2025-12-04T09:27:56.2123800Z Simple example: called once 2025-12-04T09:27:56.2979245Z throw: call_once will retry 2025-12-04T09:27:56.3370883Z throw: call_once will retry 2025-12-04T09:27:56.3374561Z Didn't throw, call_once will not attempt again 2025-12-04T09:27:56.3393402Z [ OK ] BasicTest.BasicStdTestCPU (204 ms) 2025-12-04T09:27:56.3393823Z [ RUN ] BasicTest.TestForBlobResizeCPU 2025-12-04T09:27:56.3555998Z [ OK ] BasicTest.TestForBlobResizeCPU (16 ms) 2025-12-04T09:27:56.3556429Z [ RUN ] BasicTest.TestForBlobStridesResizeCPU 2025-12-04T09:27:56.3583325Z [ OK ] BasicTest.TestForBlobStridesResizeCPU (2 ms) 2025-12-04T09:27:56.3604455Z [----------] 6 tests from BasicTest (3802 ms total) 2025-12-04T09:27:56.3604738Z 2025-12-04T09:27:56.3616243Z [----------] Global test environment tear-down 2025-12-04T09:27:56.3643962Z [==========] 6 tests from 1 test suite ran. (3829 ms total) 2025-12-04T09:27:56.3656834Z [ PASSED ] 6 tests. 2025-12-04T09:27:58.2908582Z ==11912== 2025-12-04T09:27:58.2911921Z ==11912== HEAP SUMMARY: 2025-12-04T09:27:58.2912280Z ==11912== in use at exit: 432,243 bytes in 6,419 blocks 2025-12-04T09:27:58.2912786Z ==11912== total heap usage: 652,095 allocs, 645,676 frees, 198,313,637 bytes allocated 2025-12-04T09:27:58.2913246Z ==11912== 2025-12-04T09:27:58.3352389Z ==11912== LEAK SUMMARY: 2025-12-04T09:27:58.3352735Z ==11912== definitely lost: 0 bytes in 0 blocks 2025-12-04T09:27:58.3353105Z ==11912== indirectly lost: 0 bytes in 0 blocks 2025-12-04T09:27:58.3353493Z ==11912== possibly lost: 69,920 bytes in 2 blocks 2025-12-04T09:27:58.3353930Z ==11912== still reachable: 362,323 bytes in 6,417 blocks 2025-12-04T09:27:58.3354317Z ==11912== suppressed: 0 bytes in 0 blocks 2025-12-04T09:27:58.3354770Z ==11912== Rerun with --leak-check=full to see details of leaked memory 2025-12-04T09:27:58.3355479Z ==11912== 2025-12-04T09:27:58.3355810Z ==11912== For lists of detected and suppressed errors, rerun with: -s 2025-12-04T09:27:58.3356332Z ==11912== ERROR SUMMARY: 0 errors from 0 contexts (suppressed: 0 from 0) 2025-12-04T09:27:58.3760767Z + [[ -x build/bin/tensor_interop_test ]] 2025-12-04T09:27:58.3762927Z + [[ -n '' ]] 2025-12-04T09:27:58.3763153Z + assert_git_not_dirty 2025-12-04T09:27:58.3763451Z + [[ linux-jammy-py3.10-clang12 != *rocm* ]] 2025-12-04T09:27:58.3763884Z + [[ linux-jammy-py3.10-clang12 != *xla* ]] 2025-12-04T09:27:58.3769802Z ++ git status --porcelain 2025-12-04T09:27:58.3770820Z ++ grep -v '?? third_party' 2025-12-04T09:27:58.6677636Z ++ true 2025-12-04T09:27:58.6678493Z + git_status= 2025-12-04T09:27:58.6679010Z + [[ -n '' ]] 2025-12-04T09:27:58.6679235Z + test_libtorch 1 2025-12-04T09:27:58.6685135Z + local SHARD=1 2025-12-04T09:27:58.6685566Z + [[ default != \s\l\o\w ]] 2025-12-04T09:27:58.6685983Z + echo 'Testing libtorch' 2025-12-04T09:27:58.6686371Z Testing libtorch 2025-12-04T09:27:58.6687521Z + 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 2025-12-04T09:27:58.6711238Z + 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 2025-12-04T09:27:58.6722264Z + 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 2025-12-04T09:27:58.6733766Z + 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 2025-12-04T09:27:58.6745328Z + 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 2025-12-04T09:27:58.6758522Z + 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 2025-12-04T09:27:58.6768355Z + 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 2025-12-04T09:27:58.6778575Z + export CPP_TESTS_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-12-04T09:27:58.6779234Z + CPP_TESTS_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-12-04T09:27:58.6779703Z + [[ -z 1 ]] 2025-12-04T09:27:58.6779929Z + [[ 1 == \1 ]] 2025-12-04T09:27:58.6780143Z + test_libtorch_api 2025-12-04T09:27:58.6785246Z + MNIST_DIR=/var/lib/jenkins/workspace/test/cpp/api/mnist 2025-12-04T09:27:58.6785838Z + python tools/download_mnist.py --quiet -d /var/lib/jenkins/workspace/test/cpp/api/mnist 2025-12-04T09:27:58.7258181Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/train-images-idx3-ubyte.gz ... 2025-12-04T09:27:59.0794159Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/train-labels-idx1-ubyte.gz ... 2025-12-04T09:27:59.1178891Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/t10k-images-idx3-ubyte.gz ... 2025-12-04T09:27:59.2081534Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/t10k-labels-idx1-ubyte.gz ... 2025-12-04T09:27:59.2525738Z + [[ linux-jammy-py3.10-clang12 == *asan* ]] 2025-12-04T09:27:59.2526205Z + [[ linux-jammy-py3.10-clang12 == *slow-gradcheck* ]] 2025-12-04T09:27:59.2526570Z + OMP_NUM_THREADS=2 2025-12-04T09:27:59.2527215Z + TORCH_CPP_TEST_MNIST_PATH=/var/lib/jenkins/workspace/test/cpp/api/mnist 2025-12-04T09:27:59.2527824Z + python test/run_test.py --cpp --verbose -i cpp/test_api -k 'not IMethodTest' 2025-12-04T09:28:03.9553090Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T09:28:03.9651968Z Found test times from artifacts 2025-12-04T09:28:04.0034112Z Found test times from artifacts 2025-12-04T09:28:04.0046664Z Running all tests 2025-12-04T09:28:04.0050207Z Running parallel tests on 3 processes 2025-12-04T09:28:04.0050634Z Name: tests to run (est. time: 0.0min) 2025-12-04T09:28:04.0050943Z Serial tests (0): 2025-12-04T09:28:04.0051177Z Parallel tests (1): 2025-12-04T09:28:04.0051429Z cpp/test_api 1/1 2025-12-04T09:28:04.0051972Z Name: excluded (est. time: 0.0min) 2025-12-04T09:28:04.0052257Z Serial tests (0): 2025-12-04T09:28:04.0052500Z Parallel tests (0): 2025-12-04T09:28:04.0055598Z Running cpp/test_api 1/1 ... [2025-12-04 09:28:04.005407][2286.970494153] 2025-12-04T09:28:04.0056028Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:04.0056665Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:28:04.0057223Z Finished cpp/test_api 1/1 ... [2025-12-04 09:28:04.005568][2286.970658052], took 0.00min 2025-12-04T09:28:04.5365265Z Uploading artifacts took 0.52 seconds 2025-12-04T09:28:07.2818174Z Running cpp/test_api 1/1 ... [2025-12-04 09:28:07.281486][2290.24657031] 2025-12-04T09:28:07.2818657Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:07.2819075Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:28:07.2819634Z Finished cpp/test_api 1/1 ... [2025-12-04 09:28:07.281672][2290.246761061], took 0.00min 2025-12-04T09:28:07.9819597Z Running test batch 'tests to run' cost 3.98 seconds 2025-12-04T09:28:08.6513784Z + [[ linux-jammy-py3.10-clang12 != *android* ]] 2025-12-04T09:28:08.6514210Z + [[ linux-jammy-py3.10-clang12 != *cuda* ]] 2025-12-04T09:28:08.6514603Z + [[ linux-jammy-py3.10-clang12 != *asan* ]] 2025-12-04T09:28:08.6514973Z + [[ linux-jammy-py3.10-clang12 != *s390x* ]] 2025-12-04T09:28:08.6515324Z + export CPP_TESTS_DIR=build/bin 2025-12-04T09:28:08.6515625Z + CPP_TESTS_DIR=build/bin 2025-12-04T09:28:08.6516039Z + python test/run_test.py --cpp --verbose -i cpp/static_runtime_test 2025-12-04T09:28:13.3674204Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T09:28:13.3772518Z Found test times from artifacts 2025-12-04T09:28:13.4155188Z Found test times from artifacts 2025-12-04T09:28:13.4168008Z Running all tests 2025-12-04T09:28:13.4171282Z Running parallel tests on 3 processes 2025-12-04T09:28:13.4171643Z Name: tests to run (est. time: 0.0min) 2025-12-04T09:28:13.4171990Z Serial tests (0): 2025-12-04T09:28:13.4172237Z Parallel tests (1): 2025-12-04T09:28:13.4172527Z cpp/static_runtime_test 1/1 2025-12-04T09:28:13.4172923Z Name: excluded (est. time: 0.0min) 2025-12-04T09:28:13.4173249Z Serial tests (0): 2025-12-04T09:28:13.4173488Z Parallel tests (0): 2025-12-04T09:28:13.4173984Z Running cpp/static_runtime_test 1/1 ... [2025-12-04 09:28:13.417228][2296.382316999] 2025-12-04T09:28:13.4174547Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:13.4174936Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:28:13.4175548Z Finished cpp/static_runtime_test 1/1 ... [2025-12-04 09:28:13.417378][2296.382468784], took 0.00min 2025-12-04T09:28:13.9214134Z Uploading artifacts took 0.49 seconds 2025-12-04T09:28:16.7003281Z Running cpp/static_runtime_test 1/1 ... [2025-12-04 09:28:16.699888][2299.66497232] 2025-12-04T09:28:16.7004310Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:28:16.7004746Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode 2025-12-04T09:28:16.7005398Z Finished cpp/static_runtime_test 1/1 ... [2025-12-04 09:28:16.700089][2299.665177513], took 0.00min 2025-12-04T09:28:17.4268059Z Running test batch 'tests to run' cost 4.01 seconds 2025-12-04T09:28:18.0618725Z + [[ -z 1 ]] 2025-12-04T09:28:18.0619001Z + [[ 1 == \2 ]] 2025-12-04T09:28:18.0619245Z + assert_git_not_dirty 2025-12-04T09:28:18.0619549Z + [[ linux-jammy-py3.10-clang12 != *rocm* ]] 2025-12-04T09:28:18.0619911Z + [[ linux-jammy-py3.10-clang12 != *xla* ]] 2025-12-04T09:28:18.0624781Z ++ git status --porcelain 2025-12-04T09:28:18.0625317Z ++ grep -v '?? third_party' 2025-12-04T09:28:18.3521958Z ++ true 2025-12-04T09:28:18.3522611Z + git_status= 2025-12-04T09:28:18.3523040Z + [[ -n '' ]] 2025-12-04T09:28:18.3523543Z + [[ linux-jammy-py3.10-clang12 == *xpu* ]] 2025-12-04T09:28:18.3580500Z + sccache_epilogue 2025-12-04T09:28:18.3581030Z + echo '::group::Sccache Compilation Log' 2025-12-04T09:28:18.3581779Z ##[group]Sccache Compilation Log 2025-12-04T09:28:18.3582420Z + echo '=================== sccache compilation log ===================' 2025-12-04T09:28:18.3582846Z =================== sccache compilation log =================== 2025-12-04T09:28:18.3583484Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log 2025-12-04T09:28:18.3711548Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ===========' 2025-12-04T09:28:18.3712310Z =========== If your build fails, please take a look at the log above for possible reasons =========== 2025-12-04T09:28:18.3712817Z + sccache --show-stats 2025-12-04T09:28:18.3750188Z Compile requests 188 2025-12-04T09:28:18.3750873Z Compile requests executed 58 2025-12-04T09:28:18.3751201Z Cache hits 21 2025-12-04T09:28:18.3751518Z Cache hits (C/C++) 21 2025-12-04T09:28:18.3751822Z Cache misses 37 2025-12-04T09:28:18.3752158Z Cache misses (C/C++) 37 2025-12-04T09:28:18.3752481Z Cache hits rate 36.21 % 2025-12-04T09:28:18.3752796Z Cache hits rate (C/C++) 36.21 % 2025-12-04T09:28:18.3753129Z Cache timeouts 0 2025-12-04T09:28:18.3753444Z Cache read errors 0 2025-12-04T09:28:18.3754037Z Forced recaches 0 2025-12-04T09:28:18.3754545Z Cache write errors 0 2025-12-04T09:28:18.3754865Z Cache errors 0 2025-12-04T09:28:18.3755166Z Compilations 37 2025-12-04T09:28:18.3755490Z Compilation failures 0 2025-12-04T09:28:18.3755827Z Non-cacheable compilations 0 2025-12-04T09:28:18.3756164Z Non-cacheable calls 0 2025-12-04T09:28:18.3756482Z Non-compilation calls 130 2025-12-04T09:28:18.3756815Z Unsupported compiler calls 0 2025-12-04T09:28:18.3757147Z Average cache write 0.036 s 2025-12-04T09:28:18.3757472Z Average compiler 12.718 s 2025-12-04T09:28:18.3757801Z Average cache read hit 0.085 s 2025-12-04T09:28:18.3758136Z Failed distributed compilations 0 2025-12-04T09:28:18.3758597Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-12-04T09:28:18.3759059Z Version (client) 0.10.0 2025-12-04T09:28:18.3759378Z + sccache --stop-server 2025-12-04T09:28:18.3773085Z Stopping sccache server... 2025-12-04T09:28:18.3775449Z Compile requests 188 2025-12-04T09:28:18.3775836Z Compile requests executed 58 2025-12-04T09:28:18.3776173Z Cache hits 21 2025-12-04T09:28:18.3776480Z Cache hits (C/C++) 21 2025-12-04T09:28:18.3776797Z Cache misses 37 2025-12-04T09:28:18.3777120Z Cache misses (C/C++) 37 2025-12-04T09:28:18.3777433Z Cache hits rate 36.21 % 2025-12-04T09:28:18.3777781Z Cache hits rate (C/C++) 36.21 % 2025-12-04T09:28:18.3778152Z Cache timeouts 0 2025-12-04T09:28:18.3778514Z Cache read errors 0 2025-12-04T09:28:18.3779077Z Forced recaches 0 2025-12-04T09:28:18.3779405Z Cache write errors 0 2025-12-04T09:28:18.3779720Z Cache errors 0 2025-12-04T09:28:18.3780030Z Compilations 37 2025-12-04T09:28:18.3780359Z Compilation failures 0 2025-12-04T09:28:18.3780697Z Non-cacheable compilations 0 2025-12-04T09:28:18.3781021Z Non-cacheable calls 0 2025-12-04T09:28:18.3781356Z Non-compilation calls 130 2025-12-04T09:28:18.3781717Z Unsupported compiler calls 0 2025-12-04T09:28:18.3782057Z Average cache write 0.036 s 2025-12-04T09:28:18.3782378Z Average compiler 12.718 s 2025-12-04T09:28:18.3782712Z Average cache read hit 0.085 s 2025-12-04T09:28:18.3783157Z Failed distributed compilations 0 2025-12-04T09:28:18.3783616Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-12-04T09:28:18.3784096Z Version (client) 0.10.0 2025-12-04T09:28:18.3784425Z + echo ::endgroup:: 2025-12-04T09:28:18.3784928Z ##[endgroup] 2025-12-04T09:28:18.3785143Z + cleanup_workspace 2025-12-04T09:28:18.3785651Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.' 2025-12-04T09:28:18.3786464Z sudo may print the following warning message that can be ignored. The chown command will still run. 2025-12-04T09:28:18.3787116Z + echo ' sudo: setrlimit(RLIMIT_STACK): Operation not permitted' 2025-12-04T09:28:18.3787581Z sudo: setrlimit(RLIMIT_STACK): Operation not permitted 2025-12-04T09:28:18.3788135Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42' 2025-12-04T09:28:18.3788750Z For more details refer to https://github.com/sudo-project/sudo/issues/42 2025-12-04T09:28:18.3789228Z + sudo chown -R 1000 /var/lib/jenkins/workspace 2025-12-04T09:28:19.0422728Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main 2025-12-04T09:28:19.0423222Z with: 2025-12-04T09:28:19.0423482Z benchmark-results-dir: test/test-reports 2025-12-04T09:28:19.0423803Z dry-run: false 2025-12-04T09:28:19.0424041Z schema-version: v3 2025-12-04T09:28:19.0424507Z github-token: *** 2025-12-04T09:28:19.0424744Z env: 2025-12-04T09:28:19.0424946Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:28:19.0425216Z HAS_NVIDIA_GPU: false 2025-12-04T09:28:19.0425678Z DOCKER_CONTAINER_ID: 678f43bef8734d8f33e0f11ab1e212cbac6368e84d51eb4c367b41e72f59e69e 2025-12-04T09:28:19.0426177Z ##[endgroup] 2025-12-04T09:28:19.0444006Z ##[group]Run set -eux 2025-12-04T09:28:19.0444299Z set -eux 2025-12-04T09:28:19.0444529Z  2025-12-04T09:28:19.0444737Z if [[ -n "" ]]; then 2025-12-04T09:28:19.0445034Z  source "" 2025-12-04T09:28:19.0445274Z fi 2025-12-04T09:28:19.0445664Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-12-04T09:28:19.0446089Z  2025-12-04T09:28:19.0446311Z DEVICE_NAME="" 2025-12-04T09:28:19.0446580Z DEVICE_TYPE="" 2025-12-04T09:28:19.0446832Z  2025-12-04T09:28:19.0447060Z if command -v nvidia-smi; then 2025-12-04T09:28:19.0447534Z  # NB: I'm using PyTorch here to get the device name, however, it needs to 2025-12-04T09:28:19.0448135Z  # install the correct version of PyTorch manually for now. Any PyTorch 2025-12-04T09:28:19.0448681Z  # version is fine, I just use 2.7.1 to satify PYPIDEP linter 2025-12-04T09:28:19.0449303Z  python3 -mpip install torch==2.7.1 2025-12-04T09:28:19.0464026Z elif command -v rocminfo; then 2025-12-04T09:28:19.0464776Z  # NB: Installing torch on ROCm runner with pip here causes CI to fail 2025-12-04T09:28:19.0465413Z  # with a memoryview is too large error only on MI300 runners. Is pip 2025-12-04T09:28:19.0466005Z  # version on ROCm runner there too old? As a workaround, let's use the 2025-12-04T09:28:19.0466521Z  # GPU device name coming from rocminfo instead 2025-12-04T09:28:19.0466882Z  DEVICE_NAME=rocm 2025-12-04T09:28:19.0467379Z  DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs) 2025-12-04T09:28:19.0467896Z fi 2025-12-04T09:28:19.0468111Z  2025-12-04T09:28:19.0468373Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV 2025-12-04T09:28:19.0468795Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-12-04T09:28:19.0478370Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:28:19.0478748Z env: 2025-12-04T09:28:19.0478972Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:28:19.0479248Z HAS_NVIDIA_GPU: false 2025-12-04T09:28:19.0479862Z DOCKER_CONTAINER_ID: 678f43bef8734d8f33e0f11ab1e212cbac6368e84d51eb4c367b41e72f59e69e 2025-12-04T09:28:19.0480386Z ##[endgroup] 2025-12-04T09:28:19.0514798Z + [[ -n '' ]] 2025-12-04T09:28:19.0515147Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-12-04T09:28:19.2970353Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T09:28:20.4144814Z Collecting boto3==1.35.33 2025-12-04T09:28:20.4304361Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-12-04T09:28:20.7562206Z Collecting psutil==7.0.0 2025-12-04T09:28:20.7602508Z 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) 2025-12-04T09:28:20.7893763Z Collecting pynvml==12.0.0 2025-12-04T09:28:20.7925987Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-12-04T09:28:20.8004055Z 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) 2025-12-04T09:28:21.9774217Z Collecting botocore<1.36.0,>=1.35.33 2025-12-04T09:28:21.9814432Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-12-04T09:28:22.1707085Z Collecting s3transfer<0.11.0,>=0.10.0 2025-12-04T09:28:22.1742168Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-12-04T09:28:22.2207791Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-12-04T09:28:22.2242324Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-12-04T09:28:22.2328192Z 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) 2025-12-04T09:28:22.2338242Z 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) 2025-12-04T09:28:22.4313202Z 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) 2025-12-04T09:28:22.5690821Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-12-04T09:28:23.0858760Z Attempting uninstall: nvidia-ml-py 2025-12-04T09:28:23.0860372Z Found existing installation: nvidia-ml-py 11.525.84 2025-12-04T09:28:23.0874292Z Uninstalling nvidia-ml-py-11.525.84: 2025-12-04T09:28:23.1064701Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-12-04T09:28:23.1680365Z Attempting uninstall: psutil 2025-12-04T09:28:23.1680880Z Found existing installation: psutil 5.9.8 2025-12-04T09:28:23.1749380Z Uninstalling psutil-5.9.8: 2025-12-04T09:28:23.1758095Z Successfully uninstalled psutil-5.9.8 2025-12-04T09:28:23.3448570Z 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 2025-12-04T09:28:23.4656476Z + DEVICE_NAME= 2025-12-04T09:28:23.4656772Z + DEVICE_TYPE= 2025-12-04T09:28:23.4657018Z + command -v nvidia-smi 2025-12-04T09:28:23.4657305Z + command -v rocminfo 2025-12-04T09:28:23.4657591Z + echo DEVICE_NAME= 2025-12-04T09:28:23.4658150Z + echo DEVICE_TYPE= 2025-12-04T09:28:23.4680322Z ##[group]Run set -eux 2025-12-04T09:28:23.4680601Z set -eux 2025-12-04T09:28:23.4680828Z  2025-12-04T09:28:23.4681058Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-12-04T09:28:23.4681421Z  echo "Missing github-token input" 2025-12-04T09:28:23.4681746Z  exit 1 2025-12-04T09:28:23.4681973Z fi 2025-12-04T09:28:23.4687987Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:28:23.4688377Z env: 2025-12-04T09:28:23.4688606Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:28:23.4688864Z HAS_NVIDIA_GPU: false 2025-12-04T09:28:23.4689326Z DOCKER_CONTAINER_ID: 678f43bef8734d8f33e0f11ab1e212cbac6368e84d51eb4c367b41e72f59e69e 2025-12-04T09:28:23.4689841Z DEVICE_NAME: 2025-12-04T09:28:23.4690067Z DEVICE_TYPE: 2025-12-04T09:28:23.4690504Z GITHUB_TOKEN: *** 2025-12-04T09:28:23.4690741Z ##[endgroup] 2025-12-04T09:28:23.4716303Z + [[ -z *** ]] 2025-12-04T09:28:23.4758119Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-12-04T09:28:23.4758572Z with: 2025-12-04T09:28:23.4758936Z github-token: *** 2025-12-04T09:28:23.4759155Z env: 2025-12-04T09:28:23.4759373Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:28:23.4759648Z HAS_NVIDIA_GPU: false 2025-12-04T09:28:23.4760096Z DOCKER_CONTAINER_ID: 678f43bef8734d8f33e0f11ab1e212cbac6368e84d51eb4c367b41e72f59e69e 2025-12-04T09:28:23.4760613Z DEVICE_NAME: 2025-12-04T09:28:23.4760845Z DEVICE_TYPE: 2025-12-04T09:28:23.4761063Z ##[endgroup] 2025-12-04T09:28:23.4775215Z ##[group]Run set -eux 2025-12-04T09:28:23.4775470Z set -eux 2025-12-04T09:28:23.4775695Z  2025-12-04T09:28:23.4776186Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-12-04T09:28:23.4781924Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:28:23.4782327Z env: 2025-12-04T09:28:23.4782547Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:28:23.4782818Z HAS_NVIDIA_GPU: false 2025-12-04T09:28:23.4783418Z DOCKER_CONTAINER_ID: 678f43bef8734d8f33e0f11ab1e212cbac6368e84d51eb4c367b41e72f59e69e 2025-12-04T09:28:23.4783941Z DEVICE_NAME: 2025-12-04T09:28:23.4784169Z DEVICE_TYPE: 2025-12-04T09:28:23.4784530Z GITHUB_TOKEN: *** 2025-12-04T09:28:23.4784770Z ##[endgroup] 2025-12-04T09:28:23.4807861Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 19922814090 i-08bea9f94b524e092 2025-12-04T09:28:25.8452268Z setting job-id=57116258200 2025-12-04T09:28:25.8452902Z setting job-name=linux-jammy-py3.10-clang12 / test (default, 1, 5, linux.4xlarge, rerun_disabled_tests) 2025-12-04T09:28:25.8563146Z ##[group]Run set -eux 2025-12-04T09:28:25.8563424Z set -eux 2025-12-04T09:28:25.8563756Z  2025-12-04T09:28:25.8563959Z if [[ -n "" ]]; then 2025-12-04T09:28:25.8564257Z  source "" 2025-12-04T09:28:25.8564497Z fi 2025-12-04T09:28:25.8564692Z  2025-12-04T09:28:25.8565093Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-12-04T09:28:25.8565625Z  --schema-version "${SCHEMA_VERSION}" \ 2025-12-04T09:28:25.8565969Z  --repo "${REPO}" \ 2025-12-04T09:28:25.8566279Z  --head-branch "${HEAD_BRANCH}" \ 2025-12-04T09:28:25.8566616Z  --head-sha "${HEAD_SHA}" \ 2025-12-04T09:28:25.8566964Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-12-04T09:28:25.8567319Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-12-04T09:28:25.8567653Z  --job-id "${JOB_ID}" \ 2025-12-04T09:28:25.8567964Z  --job-name "${JOB_NAME}" 2025-12-04T09:28:25.8573972Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:28:25.8574358Z env: 2025-12-04T09:28:25.8574577Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:28:25.8574856Z HAS_NVIDIA_GPU: false 2025-12-04T09:28:25.8575327Z DOCKER_CONTAINER_ID: 678f43bef8734d8f33e0f11ab1e212cbac6368e84d51eb4c367b41e72f59e69e 2025-12-04T09:28:25.8575839Z DEVICE_NAME: 2025-12-04T09:28:25.8576053Z DEVICE_TYPE: 2025-12-04T09:28:25.8576283Z SCHEMA_VERSION: v3 2025-12-04T09:28:25.8576540Z REPO: pytorch/pytorch 2025-12-04T09:28:25.8576807Z HEAD_BRANCH: refs/heads/main 2025-12-04T09:28:25.8577125Z HEAD_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:28:25.8577486Z WORKFLOW_RUN_ID: 19922814090 2025-12-04T09:28:25.8577763Z RUN_ATTEMPT: 1 2025-12-04T09:28:25.8577980Z JOB_ID: 57116258200 2025-12-04T09:28:25.8578445Z JOB_NAME: linux-jammy-py3.10-clang12 / test (default, 1, 5, linux.4xlarge, rerun_disabled_tests) 2025-12-04T09:28:25.8578973Z ##[endgroup] 2025-12-04T09:28:25.8602954Z + [[ -n '' ]] 2025-12-04T09:28:25.8605306Z + 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 57116258200 --job-name 'linux-jammy-py3.10-clang12 / test (default, 1, 5, linux.4xlarge, rerun_disabled_tests)' 2025-12-04T09:28:25.8921756Z ##[group]Run set -eux 2025-12-04T09:28:25.8922048Z set -eux 2025-12-04T09:28:25.8922272Z  2025-12-04T09:28:25.8922505Z if [[ -n "" ]]; then 2025-12-04T09:28:25.8922790Z  source "" 2025-12-04T09:28:25.8923024Z fi 2025-12-04T09:28:25.8923246Z  2025-12-04T09:28:25.8923981Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-12-04T09:28:25.8930339Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:28:25.8930740Z env: 2025-12-04T09:28:25.8930977Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:28:25.8931248Z HAS_NVIDIA_GPU: false 2025-12-04T09:28:25.8931715Z DOCKER_CONTAINER_ID: 678f43bef8734d8f33e0f11ab1e212cbac6368e84d51eb4c367b41e72f59e69e 2025-12-04T09:28:25.8932261Z DEVICE_NAME: 2025-12-04T09:28:25.8932637Z DEVICE_TYPE: 2025-12-04T09:28:25.8932861Z ##[endgroup] 2025-12-04T09:28:25.8956128Z + [[ -n '' ]] 2025-12-04T09:28:25.8956978Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-12-04T09:28:25.9351646Z INFO:root:Fail to import torch to get the device name 2025-12-04T09:28:25.9447338Z ##[group]Run set -eux 2025-12-04T09:28:25.9447622Z set -eux 2025-12-04T09:28:25.9447856Z  2025-12-04T09:28:25.9448113Z # TODO (huydhn): Implement this part 2025-12-04T09:28:25.9448494Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:28:25.9454837Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:28:25.9455234Z env: 2025-12-04T09:28:25.9455442Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:28:25.9455737Z HAS_NVIDIA_GPU: false 2025-12-04T09:28:25.9456209Z DOCKER_CONTAINER_ID: 678f43bef8734d8f33e0f11ab1e212cbac6368e84d51eb4c367b41e72f59e69e 2025-12-04T09:28:25.9456714Z DEVICE_NAME: 2025-12-04T09:28:25.9456943Z DEVICE_TYPE: 2025-12-04T09:28:25.9457173Z ##[endgroup] 2025-12-04T09:28:25.9481460Z + echo 'dependencies={}' 2025-12-04T09:28:25.9501506Z ##[group]Run set -eux 2025-12-04T09:28:25.9501787Z set -eux 2025-12-04T09:28:25.9502018Z  2025-12-04T09:28:25.9502237Z if [[ -n "" ]]; then 2025-12-04T09:28:25.9502499Z  source "" 2025-12-04T09:28:25.9502739Z fi 2025-12-04T09:28:25.9502947Z  2025-12-04T09:28:25.9503199Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-12-04T09:28:25.9503645Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-12-04T09:28:25.9504151Z  # We don't want the job to fail if the directory doesn't exist 2025-12-04T09:28:25.9504556Z  exit 0 2025-12-04T09:28:25.9504784Z fi 2025-12-04T09:28:25.9504997Z  2025-12-04T09:28:25.9505246Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-12-04T09:28:25.9505729Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-12-04T09:28:25.9506303Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-12-04T09:28:25.9506736Z  --metadata "${BENCHMARK_METADATA}" \ 2025-12-04T09:28:25.9507097Z  --runners "${RUNNER_INFO}" \ 2025-12-04T09:28:25.9507436Z  --dependencies "${DEPENDENCIES}" \ 2025-12-04T09:28:25.9507772Z  --dry-run 2025-12-04T09:28:25.9508022Z else 2025-12-04T09:28:25.9508396Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-12-04T09:28:25.9508960Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-12-04T09:28:25.9509393Z  --metadata "${BENCHMARK_METADATA}" \ 2025-12-04T09:28:25.9509911Z  --runners "${RUNNER_INFO}" \ 2025-12-04T09:28:25.9510252Z  --dependencies "${DEPENDENCIES}" 2025-12-04T09:28:25.9510585Z fi 2025-12-04T09:28:25.9516041Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:28:25.9516421Z env: 2025-12-04T09:28:25.9516645Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:28:25.9516922Z HAS_NVIDIA_GPU: false 2025-12-04T09:28:25.9517374Z DOCKER_CONTAINER_ID: 678f43bef8734d8f33e0f11ab1e212cbac6368e84d51eb4c367b41e72f59e69e 2025-12-04T09:28:25.9517893Z DEVICE_NAME: 2025-12-04T09:28:25.9518128Z DEVICE_TYPE: 2025-12-04T09:28:25.9518376Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-12-04T09:28:25.9518701Z DRY_RUN: false 2025-12-04T09:28:25.9520112Z BENCHMARK_METADATA: {"timestamp": 1764840505, "schema_version": "v3", "name": "linux-jammy-py3.10-clang12 / test (default, 1, 5, linux.4xlarge, rerun_disabled_tests)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19922814090, "run_attempt": 1, "job_id": 57116258200} 2025-12-04T09:28:25.9522085Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 30, "extra_info": {"hostname": "ip-10-0-67-132.ec2.internal"}, "name": "", "type": ""}] 2025-12-04T09:28:25.9522747Z DEPENDENCIES: {} 2025-12-04T09:28:25.9522974Z ##[endgroup] 2025-12-04T09:28:25.9545481Z + [[ -n '' ]] 2025-12-04T09:28:25.9545756Z + [[ ! -d test/test-reports ]] 2025-12-04T09:28:25.9546051Z + [[ false == \t\r\u\e ]] 2025-12-04T09:28:25.9548944Z + 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": 1764840505, "schema_version": "v3", "name": "linux-jammy-py3.10-clang12 / test (default, 1, 5, linux.4xlarge, rerun_disabled_tests)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19922814090, "run_attempt": 1, "job_id": 57116258200}' --runners '[{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 30, "extra_info": {"hostname": "ip-10-0-67-132.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}' 2025-12-04T09:28:26.0957623Z /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-4ededd88fce6c0c39906.json is not a benchmark record, skipping 2025-12-04T09:28:26.0959349Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T09:28:26.1041110Z /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_functional_optim'}, {'test_file': 'test_maskedtensor'}, {'test_file': 'test_ops'}, {'test_file': 'benchmark_utils/test_benchmark_utils'}, {'test_file': 'functorch/test_dims'}, {'test_file': 'torch_np/numpy_tests/core/test_scalarmath'}, {'test_file': 'test_scaled_matmul_cuda'}, {'test_file': 'torch_np/numpy_tests/core/test_shape_base'}, {'test_file': 'test_vulkan'}, {'test_file': 'lazy/test_generator'}, {'test_file': 'nn/test_convolution'}, {'test_file': 'torch_np/numpy_tests/linalg/test_linalg'}, {'test_file': 'torch_np/numpy_tests/core/test_dtype'}, {'test_file': 'lazy/test_debug_util'}, {'test_file': 'test_shape_ops'}, {'test_file': 'nn/test_module_hooks'}, {'test_file': 'torch_np/numpy_tests/lib/test_twodim_base'}, {'test_file': 'profiler/test_memory_profiler'}, {'test_file': 'test_jit_llga_fuser'}, {'test_file': 'test_serialization'}, {'test_file': 'optim/test_optim'}, {'test_file': 'test_indexing'}, {'test_file': 'torch_np/numpy_tests/fft/test_pocketfft'}, {'test_file': 'functorch/test_ops'}, {'test_file': 'torch_np/numpy_tests/lib/test_shape_base_'}, {'test_file': 'test_cpp_extensions_jit'}, {'test_file': 'torch_np/numpy_tests/core/test_getlimits'}, {'test_file': 'torch_np/test_ndarray_methods'}, {'test_file': 'test_view_ops'}, {'test_file': 'test_type_info'}, {'test_file': 'functorch/test_aotdispatch'}, {'test_file': 'torch_np/numpy_tests/core/test_dlpack'}, {'test_file': 'test_scatter_gather_ops'}, {'test_file': 'test_cuda_multigpu'}, {'test_file': 'test_mkldnn'}, {'test_file': 'functorch/test_vmap'}, {'test_file': 'torch_np/numpy_tests/lib/test_index_tricks'}, {'test_file': 'test_jit_autocast'}, {'test_file': 'nn/test_embedding'}, {'test_file': 'test_unary_ufuncs'}, {'test_file': 'test_xnnpack_integration'}, {'test_file': 'test_cuda_trace'}, {'test_file': 'test_native_mha'}, {'test_file': 'torch_np/numpy_tests/core/test_numerictypes'}, {'test_file': 'test_cuda_nvml_based_avail'}, {'test_file': 'test_function_schema'}, {'test_file': 'test_accelerator'}, {'test_file': 'nn/test_init'}, {'test_file': 'torch_np/numpy_tests/core/test_scalar_methods'}, {'test_file': 'torch_np/numpy_tests/fft/test_helper'}, {'test_file': 'test_mobile_optimizer'}, {'test_file': 'torch_np/test_function_base'}, {'test_file': 'test_type_promotion'}, {'test_file': 'torch_np/test_scalars_0D_arrays'}, {'test_file': 'test_cuda_primary_ctx'}, {'test_file': 'profiler/test_profiler_tree'}, {'test_file': 'torch_np/numpy_tests/lib/test_arraysetops'}, {'test_file': 'test_dlpack'}, {'test_file': 'profiler/test_torch_tidy'}, {'test_file': 'lazy/test_reuse_ir'}, {'test_file': 'test_functional_autograd_benchmark'}, {'test_file': 'torch_np/test_reductions'}, {'test_file': 'torch_np/numpy_tests/core/test_scalar_ctors'}, {'test_file': 'torch_np/numpy_tests/lib/test_arraypad'}, {'test_file': 'test_prims'}, {'test_file': 'profiler/test_python_tracer'}, {'test_file': 'cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility'}, {'test_file': '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-6789fbbdc609b57f85ec.json is not a benchmark record, skipping 2025-12-04T09:28:26.1121773Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T09:28:26.1125797Z /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-7484ab4c2f8e7df9a324.json is not a benchmark record, skipping 2025-12-04T09:28:26.1129693Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T09:28:26.1131332Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/test_api'}], 'excluded': []} from test/test-reports/td_exclusions-7b9b5c767d3b100d8605.json is not a benchmark record, skipping 2025-12-04T09:28:26.1132963Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T09:28:26.1134652Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/static_runtime_test'}], 'excluded': []} from test/test-reports/td_exclusions-b13e5c24dbfe60698994.json is not a benchmark record, skipping 2025-12-04T09:28:26.1136340Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T09:28:26.1198829Z ##[group]Run cat test/**/*_toprint.log || true 2025-12-04T09:28:26.1199240Z cat test/**/*_toprint.log || true 2025-12-04T09:28:26.1205337Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:28:26.1205717Z env: 2025-12-04T09:28:26.1205937Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:28:26.1206209Z HAS_NVIDIA_GPU: false 2025-12-04T09:28:26.1206656Z DOCKER_CONTAINER_ID: 678f43bef8734d8f33e0f11ab1e212cbac6368e84d51eb4c367b41e72f59e69e 2025-12-04T09:28:26.1207172Z DEVICE_NAME: 2025-12-04T09:28:26.1207398Z DEVICE_TYPE: 2025-12-04T09:28:26.1207622Z ##[endgroup] 2025-12-04T09:28:26.1297172Z Test results will be stored in test-reports/python-pytest/test_ci_sanity_check_fail/test_ci_sanity_check_fail-45168a2cd330c796.xml 2025-12-04T09:28:26.1298111Z ============================= test session starts ============================== 2025-12-04T09:28:26.1298924Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T09:28:26.1299448Z cachedir: .pytest_cache 2025-12-04T09:28:26.1300070Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T09:28:26.1300756Z rootdir: /var/lib/jenkins/workspace 2025-12-04T09:28:26.1301069Z configfile: pytest.ini 2025-12-04T09:28:26.1301699Z 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 2025-12-04T09:28:26.1302400Z collecting ... collected 2 items 2025-12-04T09:28:26.1302756Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T09:28:26.1303122Z Running 0 items in this shard: 2025-12-04T09:28:26.1303322Z 2025-12-04T09:28:26.1303944Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ci_sanity_check_fail/test_ci_sanity_check_fail-45168a2cd330c796.xml - 2025-12-04T09:28:26.1304845Z ============================ no tests ran in 0.01s ============================= 2025-12-04T09:28:26.1329220Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-12-04T09:28:26.1329589Z kill "$MONITOR_SCRIPT_PID" 2025-12-04T09:28:26.1335158Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:28:26.1335528Z env: 2025-12-04T09:28:26.1335745Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:28:26.1336016Z HAS_NVIDIA_GPU: false 2025-12-04T09:28:26.1336463Z DOCKER_CONTAINER_ID: 678f43bef8734d8f33e0f11ab1e212cbac6368e84d51eb4c367b41e72f59e69e 2025-12-04T09:28:26.1352581Z DEVICE_NAME: 2025-12-04T09:28:26.1352822Z DEVICE_TYPE: 2025-12-04T09:28:26.1353054Z MONITOR_SCRIPT_PID: 44192 2025-12-04T09:28:26.1353315Z ##[endgroup] 2025-12-04T09:28:26.1377206Z /home/ec2-user/actions-runner/_work/_temp/cc52c027-ed35-449a-b490-aad527f10594.sh: line 1: kill: (44192) - No such process 2025-12-04T09:28:26.1387540Z ##[error]Process completed with exit code 1. 2025-12-04T09:28:26.1527515Z Prepare all required actions 2025-12-04T09:28:26.1527967Z Getting action download info 2025-12-04T09:28:26.3145951Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-12-04T09:28:26.5428390Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-12-04T09:28:26.9750132Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-12-04T09:28:26.9750483Z with: 2025-12-04T09:28:26.9750784Z file-suffix: test-default-1-5-linux.4xlarge_57116258200 2025-12-04T09:28:26.9751180Z s3-bucket: gha-artifacts 2025-12-04T09:28:26.9751430Z env: 2025-12-04T09:28:26.9751647Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:28:26.9751920Z HAS_NVIDIA_GPU: false 2025-12-04T09:28:26.9752367Z DOCKER_CONTAINER_ID: 678f43bef8734d8f33e0f11ab1e212cbac6368e84d51eb4c367b41e72f59e69e 2025-12-04T09:28:26.9752911Z DEVICE_NAME: 2025-12-04T09:28:26.9753142Z DEVICE_TYPE: 2025-12-04T09:28:26.9753403Z ##[endgroup] 2025-12-04T09:28:26.9777024Z ##[group]Run # Remove any previous test jsons if they exist 2025-12-04T09:28:26.9777481Z # Remove any previous test jsons if they exist 2025-12-04T09:28:26.9777869Z rm -f test-jsons-*.zip 2025-12-04T09:28:26.9778303Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-12-04T09:28:26.9784422Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:28:26.9784792Z env: 2025-12-04T09:28:26.9785012Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:28:26.9785283Z HAS_NVIDIA_GPU: false 2025-12-04T09:28:26.9785728Z DOCKER_CONTAINER_ID: 678f43bef8734d8f33e0f11ab1e212cbac6368e84d51eb4c367b41e72f59e69e 2025-12-04T09:28:26.9786243Z DEVICE_NAME: 2025-12-04T09:28:26.9786472Z DEVICE_TYPE: 2025-12-04T09:28:26.9786765Z FILE_SUFFIX: test-default-1-5-linux.4xlarge_57116258200 2025-12-04T09:28:26.9787279Z ##[endgroup] 2025-12-04T09:28:26.9946095Z adding: test/test-reports/td_exclusions-4ededd88fce6c0c39906.json (deflated 16%) 2025-12-04T09:28:26.9946925Z adding: test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-90008de44ef1bcab.json (stored 0%) 2025-12-04T09:28:26.9947892Z adding: test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-4048e3d072c320ac.json (stored 0%) 2025-12-04T09:28:26.9948940Z adding: test/test-reports/python-pytest/dynamo.test_fake_distributed/dynamo.test_fake_distributed-a9335aa639a55159.json (stored 0%) 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test/test-reports/nn.test_init_1.1_27533c6a01aba3d0_.log (deflated 48%) 2025-12-04T09:28:27.0645751Z adding: test/test-reports/test_type_promotion_1.1_1c73da4f77c6b91f_.log (deflated 49%) 2025-12-04T09:28:27.0646541Z adding: test/test-reports/torch_np.numpy_tests.lib.test_arraysetops_1.1_b8a3551470e51100_.log (deflated 52%) 2025-12-04T09:28:27.0647441Z adding: test/test-reports/torch_np.numpy_tests.core.test_scalar_methods_1.1_56dbf44ee8a50329_.log (deflated 52%) 2025-12-04T09:28:27.0648304Z adding: test/test-reports/torch_np.numpy_tests.fft.test_helper_1.1_400d9233c1e1940a_.log (deflated 51%) 2025-12-04T09:28:27.0649289Z adding: test/test-reports/torch_np.test_scalars_0D_arrays_1.1_3911f75e5cca7268_.log (deflated 51%) 2025-12-04T09:28:27.0650067Z adding: test/test-reports/torch_np.test_function_base_1.1_56154e508c18b27d_.log (deflated 50%) 2025-12-04T09:28:27.0650819Z adding: test/test-reports/profiler.test_profiler_tree_1.1_429ff9f86c72c4a7_.log (deflated 51%) 2025-12-04T09:28:27.0651556Z adding: test/test-reports/test_unary_ufuncs_1.1_1f083bd99ea4da6f_.log (deflated 48%) 2025-12-04T09:28:27.0652500Z adding: test/test-reports/cpp_extensions.libtorch_agnostic_2_10_extension.test_version_compatibility_1.1_b96fed240a8a44ab_.log (deflated 56%) 2025-12-04T09:28:27.0683999Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-12-04T09:28:27.0684542Z # Remove any previous debugging artifacts if they exist 2025-12-04T09:28:27.0684958Z rm -f debug-*.zip 2025-12-04T09:28:27.0685250Z if [ -d 'test/debug' ]; then 2025-12-04T09:28:27.0685618Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-12-04T09:28:27.0685954Z fi 2025-12-04T09:28:27.0691665Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:28:27.0692191Z env: 2025-12-04T09:28:27.0692483Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:28:27.0692916Z HAS_NVIDIA_GPU: false 2025-12-04T09:28:27.0693606Z DOCKER_CONTAINER_ID: 678f43bef8734d8f33e0f11ab1e212cbac6368e84d51eb4c367b41e72f59e69e 2025-12-04T09:28:27.0694123Z DEVICE_NAME: 2025-12-04T09:28:27.0694357Z DEVICE_TYPE: 2025-12-04T09:28:27.0694660Z FILE_SUFFIX: test-default-1-5-linux.4xlarge_57116258200 2025-12-04T09:28:27.0695029Z ##[endgroup] 2025-12-04T09:28:27.0784891Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T09:28:27.0785224Z with: 2025-12-04T09:28:27.0785447Z s3-bucket: gha-artifacts 2025-12-04T09:28:27.0785776Z s3-prefix: pytorch/pytorch/19922814090/1/artifact 2025-12-04T09:28:27.0786140Z retention-days: 14 2025-12-04T09:28:27.0786388Z if-no-files-found: warn 2025-12-04T09:28:27.0786669Z path: test-jsons-*.zip 2025-12-04T09:28:27.0786930Z name: artifact 2025-12-04T09:28:27.0787146Z region: us-east-1 2025-12-04T09:28:27.0787371Z env: 2025-12-04T09:28:27.0787581Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:28:27.0787837Z HAS_NVIDIA_GPU: false 2025-12-04T09:28:27.0788293Z DOCKER_CONTAINER_ID: 678f43bef8734d8f33e0f11ab1e212cbac6368e84d51eb4c367b41e72f59e69e 2025-12-04T09:28:27.0788819Z DEVICE_NAME: 2025-12-04T09:28:27.0789039Z DEVICE_TYPE: 2025-12-04T09:28:27.0789262Z ##[endgroup] 2025-12-04T09:28:27.4341454Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T09:28:27.4341934Z With the provided path, there will be 1 file uploaded 2025-12-04T09:28:27.4342390Z Uploading to s3 prefix: pytorch/pytorch/19922814090/1/artifact 2025-12-04T09:28:27.4390318Z Starting upload of test-jsons-test-default-1-5-linux.4xlarge_57116258200.zip 2025-12-04T09:28:27.5707589Z Finished upload of test-jsons-test-default-1-5-linux.4xlarge_57116258200.zip 2025-12-04T09:28:27.5915874Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T09:28:27.5916565Z with: 2025-12-04T09:28:27.5917019Z s3-bucket: gha-artifacts 2025-12-04T09:28:27.5917679Z s3-prefix: pytorch/pytorch/19922814090/1/artifact 2025-12-04T09:28:27.5918426Z retention-days: 14 2025-12-04T09:28:27.5918898Z if-no-files-found: error 2025-12-04T09:28:27.5919502Z path: test-reports-*.zip 2025-12-04T09:28:27.5920055Z name: artifact 2025-12-04T09:28:27.5920742Z region: us-east-1 2025-12-04T09:28:27.5921215Z env: 2025-12-04T09:28:27.5921644Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:28:27.5922180Z HAS_NVIDIA_GPU: false 2025-12-04T09:28:27.5923155Z DOCKER_CONTAINER_ID: 678f43bef8734d8f33e0f11ab1e212cbac6368e84d51eb4c367b41e72f59e69e 2025-12-04T09:28:27.5924339Z DEVICE_NAME: 2025-12-04T09:28:27.5924775Z DEVICE_TYPE: 2025-12-04T09:28:27.5925236Z ##[endgroup] 2025-12-04T09:28:27.9470601Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T09:28:27.9471085Z With the provided path, there will be 1 file uploaded 2025-12-04T09:28:27.9471549Z Uploading to s3 prefix: pytorch/pytorch/19922814090/1/artifact 2025-12-04T09:28:27.9517709Z Starting upload of test-reports-test-default-1-5-linux.4xlarge_57116258200.zip 2025-12-04T09:28:28.0680481Z Finished upload of test-reports-test-default-1-5-linux.4xlarge_57116258200.zip 2025-12-04T09:28:28.0861325Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T09:28:28.0861872Z with: 2025-12-04T09:28:28.0862206Z s3-bucket: gha-artifacts 2025-12-04T09:28:28.0862565Z s3-prefix: pytorch/pytorch/19922814090/1/artifact 2025-12-04T09:28:28.0863074Z retention-days: 14 2025-12-04T09:28:28.0863431Z if-no-files-found: ignore 2025-12-04T09:28:28.0863813Z path: logs-*.zip 2025-12-04T09:28:28.0864129Z name: artifact 2025-12-04T09:28:28.0864451Z region: us-east-1 2025-12-04T09:28:28.0864783Z env: 2025-12-04T09:28:28.0865075Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:28:28.0865439Z HAS_NVIDIA_GPU: false 2025-12-04T09:28:28.0866000Z DOCKER_CONTAINER_ID: 678f43bef8734d8f33e0f11ab1e212cbac6368e84d51eb4c367b41e72f59e69e 2025-12-04T09:28:28.0866597Z DEVICE_NAME: 2025-12-04T09:28:28.0866926Z DEVICE_TYPE: 2025-12-04T09:28:28.0867264Z ##[endgroup] 2025-12-04T09:28:28.4129882Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T09:28:28.4130776Z With the provided path, there will be 1 file uploaded 2025-12-04T09:28:28.4131644Z Uploading to s3 prefix: pytorch/pytorch/19922814090/1/artifact 2025-12-04T09:28:28.4177936Z Starting upload of logs-test-default-1-5-linux.4xlarge_57116258200.zip 2025-12-04T09:28:28.5407096Z Finished upload of logs-test-default-1-5-linux.4xlarge_57116258200.zip 2025-12-04T09:28:28.5619351Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T09:28:28.5619973Z with: 2025-12-04T09:28:28.5620327Z s3-bucket: gha-artifacts 2025-12-04T09:28:28.5620900Z s3-prefix: pytorch/pytorch/19922814090/1/artifact 2025-12-04T09:28:28.5621527Z retention-days: 14 2025-12-04T09:28:28.5621959Z if-no-files-found: ignore 2025-12-04T09:28:28.5622452Z path: debug-*.zip 2025-12-04T09:28:28.5622859Z name: artifact 2025-12-04T09:28:28.5623240Z region: us-east-1 2025-12-04T09:28:28.5623630Z env: 2025-12-04T09:28:28.5623998Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:28:28.5624432Z HAS_NVIDIA_GPU: false 2025-12-04T09:28:28.5625233Z DOCKER_CONTAINER_ID: 678f43bef8734d8f33e0f11ab1e212cbac6368e84d51eb4c367b41e72f59e69e 2025-12-04T09:28:28.5626220Z DEVICE_NAME: 2025-12-04T09:28:28.5626624Z DEVICE_TYPE: 2025-12-04T09:28:28.5627020Z ##[endgroup] 2025-12-04T09:28:28.8849583Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-12-04T09:28:28.9033527Z ##[group]Run # shellcheck disable=SC2156 2025-12-04T09:28:28.9033919Z # shellcheck disable=SC2156 2025-12-04T09:28:28.9034515Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-12-04T09:28:28.9040722Z shell: /usr/bin/bash -e {0} 2025-12-04T09:28:28.9040998Z env: 2025-12-04T09:28:28.9041214Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:28:28.9041487Z HAS_NVIDIA_GPU: false 2025-12-04T09:28:28.9041934Z DOCKER_CONTAINER_ID: 678f43bef8734d8f33e0f11ab1e212cbac6368e84d51eb4c367b41e72f59e69e 2025-12-04T09:28:28.9042445Z DEVICE_NAME: 2025-12-04T09:28:28.9042673Z DEVICE_TYPE: 2025-12-04T09:28:28.9042882Z ##[endgroup] 2025-12-04T09:28:29.2265086Z Prepare all required actions 2025-12-04T09:28:29.2265531Z Getting action download info 2025-12-04T09:28:29.3964667Z Download action repository 'actions/setup-python@v6' (SHA:83679a892e2d95755f2dac6acb0bfd1e9ac5d548) 2025-12-04T09:28:29.7657311Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-12-04T09:28:29.7657681Z with: 2025-12-04T09:28:29.7657902Z job_id: 57116258200 2025-12-04T09:28:29.7658371Z job_name: linux-jammy-py3.10-clang12 / test (default, 1, 5, linux.4xlarge, rerun_disabled_tests) 2025-12-04T09:28:29.7658912Z workflow_name: pull 2025-12-04T09:28:29.7659161Z workflow_run_id: 19922814090 2025-12-04T09:28:29.7659447Z workflow_attempt: 1 2025-12-04T09:28:29.7659685Z env: 2025-12-04T09:28:29.7659885Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:28:29.7660154Z HAS_NVIDIA_GPU: false 2025-12-04T09:28:29.7660611Z DOCKER_CONTAINER_ID: 678f43bef8734d8f33e0f11ab1e212cbac6368e84d51eb4c367b41e72f59e69e 2025-12-04T09:28:29.7661108Z DEVICE_NAME: 2025-12-04T09:28:29.7661402Z DEVICE_TYPE: 2025-12-04T09:28:29.7661612Z ##[endgroup] 2025-12-04T09:28:29.7699770Z ##[group]Run actions/setup-python@v6 2025-12-04T09:28:29.7700094Z with: 2025-12-04T09:28:29.7700326Z python-version: 3.10 2025-12-04T09:28:29.7700575Z check-latest: false 2025-12-04T09:28:29.7700974Z token: *** 2025-12-04T09:28:29.7701212Z update-environment: true 2025-12-04T09:28:29.7701499Z allow-prereleases: false 2025-12-04T09:28:29.7701759Z freethreaded: false 2025-12-04T09:28:29.7702001Z env: 2025-12-04T09:28:29.7702218Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:28:29.7702475Z HAS_NVIDIA_GPU: false 2025-12-04T09:28:29.7702936Z DOCKER_CONTAINER_ID: 678f43bef8734d8f33e0f11ab1e212cbac6368e84d51eb4c367b41e72f59e69e 2025-12-04T09:28:29.7703449Z DEVICE_NAME: 2025-12-04T09:28:29.7703662Z DEVICE_TYPE: 2025-12-04T09:28:29.7703882Z ##[endgroup] 2025-12-04T09:28:30.2090713Z ##[group]Installed versions 2025-12-04T09:28:30.2099576Z Version 3.10 was not found in the local cache 2025-12-04T09:28:30.2378472Z (node:58073) [DEP0040] DeprecationWarning: The `punycode` module is deprecated. Please use a userland alternative instead. 2025-12-04T09:28:30.2379592Z (Use `node --trace-deprecation ...` to show where the warning was created) 2025-12-04T09:28:30.5844344Z ##[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 2025-12-04T09:28:30.6025174Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-12-04T09:28:30.6025618Z with: 2025-12-04T09:28:30.6025824Z env: 2025-12-04T09:28:30.6026028Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:28:30.6026303Z HAS_NVIDIA_GPU: false 2025-12-04T09:28:30.6026766Z DOCKER_CONTAINER_ID: 678f43bef8734d8f33e0f11ab1e212cbac6368e84d51eb4c367b41e72f59e69e 2025-12-04T09:28:30.6027269Z DEVICE_NAME: 2025-12-04T09:28:30.6027499Z DEVICE_TYPE: 2025-12-04T09:28:30.6027725Z ##[endgroup] 2025-12-04T09:28:30.6043304Z ##[group]Run set -eou pipefail 2025-12-04T09:28:30.6043727Z set -eou pipefail 2025-12-04T09:28:30.6043999Z  2025-12-04T09:28:30.6044375Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-12-04T09:28:30.6044855Z for _ in $(seq 1440); do 2025-12-04T09:28:30.6045179Z  # Break if no ssh session exists anymore 2025-12-04T09:28:30.6045534Z  if [ "$(who)" = "" ]; then 2025-12-04T09:28:30.6045872Z  break 2025-12-04T09:28:30.6046110Z  fi 2025-12-04T09:28:30.6046335Z  echo "." 2025-12-04T09:28:30.6046575Z  sleep 5 2025-12-04T09:28:30.6046801Z done 2025-12-04T09:28:30.6053081Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:28:30.6053462Z env: 2025-12-04T09:28:30.6053667Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:28:30.6053939Z HAS_NVIDIA_GPU: false 2025-12-04T09:28:30.6054396Z DOCKER_CONTAINER_ID: 678f43bef8734d8f33e0f11ab1e212cbac6368e84d51eb4c367b41e72f59e69e 2025-12-04T09:28:30.6054914Z DEVICE_NAME: 2025-12-04T09:28:30.6055139Z DEVICE_TYPE: 2025-12-04T09:28:30.6055366Z ##[endgroup] 2025-12-04T09:28:30.6079676Z Holding runner for 2 hours until all ssh sessions have logged out 2025-12-04T09:28:30.6151503Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T09:28:30.6152068Z # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T09:28:30.6152544Z # shellcheck disable=SC2046 2025-12-04T09:28:30.6152894Z docker stop $(docker ps -q) || true 2025-12-04T09:28:30.6153237Z # Prune all of the docker images 2025-12-04T09:28:30.6153576Z docker system prune -af 2025-12-04T09:28:30.6159085Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:28:30.6159459Z env: 2025-12-04T09:28:30.6159684Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:28:30.6159962Z HAS_NVIDIA_GPU: false 2025-12-04T09:28:30.6160430Z DOCKER_CONTAINER_ID: 678f43bef8734d8f33e0f11ab1e212cbac6368e84d51eb4c367b41e72f59e69e 2025-12-04T09:28:30.6160949Z DEVICE_NAME: 2025-12-04T09:28:30.6161181Z DEVICE_TYPE: 2025-12-04T09:28:30.6161408Z ##[endgroup] 2025-12-04T09:28:41.6184096Z 678f43bef873 2025-12-04T09:28:42.0513455Z Deleted Containers: 2025-12-04T09:28:42.0513910Z 678f43bef8734d8f33e0f11ab1e212cbac6368e84d51eb4c367b41e72f59e69e 2025-12-04T09:28:42.0514310Z 2025-12-04T09:28:46.8893900Z Deleted Images: 2025-12-04T09:28:46.8895078Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.10-clang12-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:28:46.8896796Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image@sha256:daf8295b144729db421f110762706d7eed0643b6b9748bedf2e37a2fcdfc4b9c 2025-12-04T09:28:46.8898068Z deleted: sha256:9230348e0d090da287e002774e5f183831a6591efe46e7a2cd9b593182913ca0 2025-12-04T09:28:46.8898971Z deleted: sha256:bb4cf19b46edf3940630043b34fa87861dcaa2fab0d602ec97ce2e7d852a8a4f 2025-12-04T09:28:46.8900209Z deleted: sha256:883467898d1f5550d17d9318698d76df5ee5fa21ecd58f5da662d6079b41a622 2025-12-04T09:28:46.8901180Z deleted: sha256:0f7af61dd47fc3aa2606dde0f6b45446fb4ef34bf780333032745f03e689ad7e 2025-12-04T09:28:46.8902071Z deleted: sha256:287567ad66143a8b090b4909f7de2e2cc3587518401f3d1149084f0ef79ea70c 2025-12-04T09:28:46.8902996Z deleted: 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2025-12-04T09:28:46.9307191Z Post job cleanup. 2025-12-04T09:28:47.0570349Z (node:58229) [DEP0040] DeprecationWarning: The `punycode` module is deprecated. Please use a userland alternative instead. 2025-12-04T09:28:47.0571176Z (Use `node --trace-deprecation ...` to show where the warning was created) 2025-12-04T09:28:47.0712530Z Post job cleanup. 2025-12-04T09:28:47.0758618Z Post job cleanup. 2025-12-04T09:28:47.1774075Z [command]/usr/bin/git version 2025-12-04T09:28:47.1812861Z git version 2.50.1 2025-12-04T09:28:47.1847563Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/ce677e18-3edc-400b-a5a2-913cd09da89d/.gitconfig' 2025-12-04T09:28:47.1856782Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/ce677e18-3edc-400b-a5a2-913cd09da89d' before making global git config changes 2025-12-04T09:28:47.1857918Z Adding repository directory to the temporary git global config as a safe directory 2025-12-04T09:28:47.1861764Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T09:28:47.1900440Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-12-04T09:28:47.1939246Z [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' || :" 2025-12-04T09:28:47.2252548Z Entering 'android/libs/fbjni' 2025-12-04T09:28:47.2310118Z Entering 'third_party/FP16' 2025-12-04T09:28:47.2366812Z Entering 'third_party/FXdiv' 2025-12-04T09:28:47.2424002Z Entering 'third_party/NNPACK' 2025-12-04T09:28:47.2481270Z Entering 'third_party/NVTX' 2025-12-04T09:28:47.2539679Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T09:28:47.2596972Z Entering 'third_party/XNNPACK' 2025-12-04T09:28:47.2670794Z Entering 'third_party/aiter' 2025-12-04T09:28:47.2728192Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T09:28:47.2791783Z Entering 'third_party/benchmark' 2025-12-04T09:28:47.2849274Z Entering 'third_party/composable_kernel' 2025-12-04T09:28:47.2915861Z Entering 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Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:28:47.5059444Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T09:28:47.5113966Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T09:28:47.5171714Z Entering 'third_party/kleidiai' 2025-12-04T09:28:47.5229465Z Entering 'third_party/mimalloc' 2025-12-04T09:28:47.5286737Z Entering 'third_party/nlohmann' 2025-12-04T09:28:47.5344211Z Entering 'third_party/onnx' 2025-12-04T09:28:47.5419228Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T09:28:47.5477269Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T09:28:47.5535648Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T09:28:47.5590936Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T09:28:47.5646485Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T09:28:47.5700529Z Entering 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[command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-12-04T09:28:47.7024919Z [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' || :" 2025-12-04T09:28:47.7328302Z Entering 'android/libs/fbjni' 2025-12-04T09:28:47.7368495Z http.https://github.com/.extraheader 2025-12-04T09:28:47.7402985Z Entering 'third_party/FP16' 2025-12-04T09:28:47.7442694Z http.https://github.com/.extraheader 2025-12-04T09:28:47.7477839Z Entering 'third_party/FXdiv' 2025-12-04T09:28:47.7516271Z http.https://github.com/.extraheader 2025-12-04T09:28:47.7549721Z Entering 'third_party/NNPACK' 2025-12-04T09:28:47.7588461Z http.https://github.com/.extraheader 2025-12-04T09:28:47.7625186Z Entering 'third_party/NVTX' 2025-12-04T09:28:47.7663142Z http.https://github.com/.extraheader 2025-12-04T09:28:47.7697037Z Entering 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http.https://github.com/.extraheader 2025-12-04T09:28:47.8317856Z Entering 'third_party/cudnn_frontend' 2025-12-04T09:28:47.8357100Z http.https://github.com/.extraheader 2025-12-04T09:28:47.8394897Z Entering 'third_party/cutlass' 2025-12-04T09:28:47.8433232Z http.https://github.com/.extraheader 2025-12-04T09:28:47.8477885Z Entering 'third_party/fbgemm' 2025-12-04T09:28:47.8516943Z http.https://github.com/.extraheader 2025-12-04T09:28:47.8555695Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T09:28:47.8592641Z http.https://github.com/.extraheader 2025-12-04T09:28:47.8625495Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T09:28:47.8665525Z http.https://github.com/.extraheader 2025-12-04T09:28:47.8706718Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T09:28:47.8745302Z http.https://github.com/.extraheader 2025-12-04T09:28:47.8778927Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T09:28:47.8816004Z http.https://github.com/.extraheader 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http.https://github.com/.extraheader 2025-12-04T09:28:47.9970585Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T09:28:48.0007850Z http.https://github.com/.extraheader 2025-12-04T09:28:48.0040993Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T09:28:48.0079352Z http.https://github.com/.extraheader 2025-12-04T09:28:48.0114984Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T09:28:48.0152653Z http.https://github.com/.extraheader 2025-12-04T09:28:48.0187052Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T09:28:48.0225038Z http.https://github.com/.extraheader 2025-12-04T09:28:48.0259489Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T09:28:48.0296461Z http.https://github.com/.extraheader 2025-12-04T09:28:48.0329063Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 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2025-12-04T09:28:48.1246241Z http.https://github.com/.extraheader 2025-12-04T09:28:48.1282383Z Entering 'third_party/onnx' 2025-12-04T09:28:48.1320719Z http.https://github.com/.extraheader 2025-12-04T09:28:48.1376125Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T09:28:48.1413568Z http.https://github.com/.extraheader 2025-12-04T09:28:48.1448631Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T09:28:48.1488374Z http.https://github.com/.extraheader 2025-12-04T09:28:48.1522897Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T09:28:48.1560420Z http.https://github.com/.extraheader 2025-12-04T09:28:48.1594059Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T09:28:48.1631483Z http.https://github.com/.extraheader 2025-12-04T09:28:48.1666039Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T09:28:48.1703272Z http.https://github.com/.extraheader 2025-12-04T09:28:48.1736483Z Entering 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